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Kofler M, Lindner A, Rass V, Ianosi BA, Putnina L, Kindl P, Schiefecker AJ, Gaasch M, Beer R, Rhomberg P, Thomé C, Schmutzhard E, Pfausler B, Helbok R. Liberalization of the Systemic Glucose Management is Associated with a Reduced Frequency of Neuroglucopenia in Subarachnoid Hemorrhage Patients: An Observational Cohort Study. Neurocrit Care 2025; 42:343-350. [PMID: 39407074 DOI: 10.1007/s12028-024-02126-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 08/30/2024] [Indexed: 03/29/2025]
Abstract
BACKGROUND Pathologically low brain glucose levels, referred to as neuroglucopenia, are associated with unfavorable outcomes in neurocritical care patients. We sought to investigate whether an increase in serum glucose levels would be associated with a reduction of neuroglucopenia. METHODS In this retrospective analysis of prospectively collected data, we included 55 consecutive patients with spontaneous subarachnoid hemorrhage who underwent cerebral microdialysis (CMD) monitoring. Neuroglucopenia was defined as CMD-glucose levels < 0.7 mmol/l. We identified systemic glucose liberalization events, defined as a day with median serum glucose levels < 150 mg/dl, followed by a day with median serum glucose levels > 150 mg/dl, and compared concentrations of cerebral metabolites between these days. Unfavorable outcome was defined as modified Rankin Scale score ≥ 3 at 3 months after the bleeding. RESULTS Episodes of neuroglucopenia were more frequent in patients with unfavorable outcome (19.8% [19.3-20.3%] vs. 10.9% [10.4-11.5%], p = 0.007). Sixty-nine systemic glucose liberalization events were identified in 40 patients. Blood glucose levels increased from 141.2 (138.7-143.6) mg/dl to 159.5 (157.0-162.2) mg/dl (p < 0.001), CMD-glucose levels increased from 1.44 (1.39-1.50) mmol/l to 1.68 (1.62-1.75) mmol/l (p = 0.001), and the frequency of neuroglucopenia decreased from 24.7% (22.9-26.5%) to 20.2% (18.7-21.8%) (p = 0.002) during these events. Liberalization was not associated with changes in CMD-lactate, CMD-pyruvate, CMD-lactate-to-pyruvate ratio, CMD-glutamate, or CMD-glycerol. CONCLUSIONS In conclusion, the liberalization of serum glucose concentrations to levels between 150 and 180 mg/dl was associated with a significant reduction of neuroglucopenia.
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Affiliation(s)
- Mario Kofler
- Department of Anaesthesiology and Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Lindner
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Verena Rass
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Bogdan A Ianosi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Medical Informatics, University for Health Sciences, Medical Informatics, and Technology, Hall in Tirol, Austria
| | - Lauma Putnina
- Department of Anaesthesiology and Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Philipp Kindl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Alois J Schiefecker
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Maxime Gaasch
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ronny Beer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Paul Rhomberg
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudius Thomé
- Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Erich Schmutzhard
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Bettina Pfausler
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Raimund Helbok
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
- Department of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
- Clinical Research Institute of Neuroscience, Johannes Kepler University Linz, Kepler University Hospital, Linz, Austria.
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Ryan D, Ikramuddin S, Alexander S, Buckley C, Feng W. Three Pillars of Recovery After Aneurysmal Subarachnoid Hemorrhage: A Narrative Review. Transl Stroke Res 2025; 16:119-132. [PMID: 38602660 DOI: 10.1007/s12975-024-01249-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024]
Abstract
Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating neurologic disease with high mortality and disability. There have been global improvements in survival, which has contributed to the prevalence of patients living with long-term sequelae related to this disease. The focus of active research has traditionally centered on acute treatment to reduce mortality, but now there is a great need to study the course of short- and long-term recovery in these patients. In this narrative review, we aim to describe the core pillars in the preservation of cerebral function, prevention of complications, the recent literature studying neuroplasticity, and future directions for research to enhance recovery outcomes following aSAH.
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Affiliation(s)
- Dylan Ryan
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27704, USA
| | - Salman Ikramuddin
- Department of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Sheila Alexander
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | | | - Wuwei Feng
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27704, USA.
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Tichauer JE, Rovegno M. Role of astrocytes connexins - pannexins in acute brain injury. Neurotherapeutics 2025; 22:e00523. [PMID: 39848901 PMCID: PMC11840357 DOI: 10.1016/j.neurot.2025.e00523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Revised: 12/31/2024] [Accepted: 01/02/2025] [Indexed: 01/25/2025] Open
Abstract
Acute brain injuries (ABIs) encompass a broad spectrum of primary injuries such as ischemia, hypoxia, trauma, and hemorrhage that converge into secondary injury where some mechanisms show common determinants. In this regard, astroglial connexin and pannexin channels have been shown to play an important role. These channels are transmembrane proteins sharing similar topology and form gateways between adjacent cells named gap junctions (GJs) and pores into unopposed membranes named hemichannels (HCs). In astrocytes, GJs and HCs enable intercellular communication and have active participation in normal brain physiological processes, such as calcium waves, synapsis modulation, regional blood flow regulation, and homeostatic control of the extracellular environment, among others. However, after acute brain injury, astrocytes can change their phenotype and modify the activity of both channels and hemichannels, which can result in the amplification of danger signals, increased mediators of inflammation, and neuronal death, contributing to the expansion of brain damage and neurological deterioration. This is known as secondary brain damage. In this review, we discussed the main biological mechanism of secondary brain damage with a particular focus on astroglial connexin and pannexin participation during acute brain injuries.
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Affiliation(s)
- Juan E Tichauer
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Chile.
| | - Maximiliano Rovegno
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Chile.
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Mrochen A, Song Y, Harders V, Sembill JA, Sprügel MI, Hock S, Lang S, Engelhorn T, Kallmünzer B, Volbers B, Kuramatsu JB. Influence of bundled care treatment on functional outcome in patients with intracerebral hemorrhage. Front Neurol 2024; 15:1357815. [PMID: 39161870 PMCID: PMC11330843 DOI: 10.3389/fneur.2024.1357815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 06/27/2024] [Indexed: 08/21/2024] Open
Abstract
Background and aims General guideline recommendations in patients with intracerebral hemorrhage (ICH) include blood pressure-, temperature- and glucose management. The therapeutic effect of such a "care bundle" (blood pressure lowering, glycemic control, and treatment of pyrexia) on clinical outcomes becomes increasingly established. For the present study, we aimed to investigate associations of strict bundled care treatment (BCT) with clinical outcomes and characterize associations with key outcome effectors such as hematoma enlargement (HE) and peak perihemorrhagic edema (PHE). Methods We screened consecutive ICH patients (n = 1,322) from the prospective UKER-ICH cohort study. BCT was defined as achieving and maintaining therapeutic ranges for systolic blood pressure (110-160 mmHg), glucose (80-180 mg/dL), and body temperature (35.5-37.5°C) over the first 72 h. The primary outcome was the functional outcome at 12 months (modified Rankin Scale (mRS) 0-3). Secondary outcomes included mortality at 12 months, the occurrence of hematoma enlargement, and the development of peak perihemorrhagic edema. Confounding was addressed by a doubly robust methodology to calculate the absolute treatment effect (ATE) and by calculating e-values. Results A total of 681 patients remained for analysis, and 182 patients fulfilled all three BCT criteria and were compared to 499 controls. The ATE of BCT to achieve the primary outcome was 9.3%, 95% CI (1.7 to 16.9), p < 0.001; e-value: 3.1, CI (1.8). Mortality at 12 months was significantly reduced by BCT [ATE: -12.8%, 95% CI (-19.8 to -5.7), p < 0.001; e-value: 3.8, CI (2.2)], and no association was observed for HE or peak PHE. Significant drivers of BCT effect on the primary outcome were systolic blood pressure control (ATE: 15.9%) and maintenance of normothermia (ATE: 10.9%). Conclusion Strict adherence to this "care bundle" over the first 72 h during acute hospital care in patients with ICH was independently associated with improved functional long-term outcome, driven by systolic blood pressure control and maintenance of normothermia. Our findings strongly warrant prospective validation to determine the generalizability especially in Western countries.Clinical trial registration:ClinicalTrials.gov, identifier [ID: NCT03183167].
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Affiliation(s)
- Anne Mrochen
- Department of Neurology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Yu Song
- Department of Neurology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Verena Harders
- Department of Neurology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Jochen A. Sembill
- Department of Neurology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Maximilian I. Sprügel
- Department of Neurology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Stefan Hock
- Department of Neuroradiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Stefan Lang
- Department of Neuroradiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Tobias Engelhorn
- Department of Neuroradiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Bernd Kallmünzer
- Department of Neurology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Bastian Volbers
- Department of Neurology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Joji B. Kuramatsu
- Department of Neurology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
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Ribeiro G, Monge J, Postolache O, Pereira JMD. A Novel AI Approach for Assessing Stress Levels in Patients with Type 2 Diabetes Mellitus Based on the Acquisition of Physiological Parameters Acquired during Daily Life. SENSORS (BASEL, SWITZERLAND) 2024; 24:4175. [PMID: 39000954 PMCID: PMC11243842 DOI: 10.3390/s24134175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 06/23/2024] [Accepted: 06/24/2024] [Indexed: 07/16/2024]
Abstract
Stress is the inherent sensation of being unable to handle demands and occurrences. If not properly managed, stress can develop into a chronic condition, leading to the onset of additional chronic health issues, such as cardiovascular illnesses and diabetes. Various stress meters have been suggested in the past, along with diverse approaches for its estimation. However, in the case of more serious health issues, such as hypertension and diabetes, the results can be significantly improved. This study presents the design and implementation of a distributed wearable-sensor computing platform with multiple channels. The platform aims to estimate the stress levels in diabetes patients by utilizing a fuzzy logic algorithm that is based on the assessment of several physiological indicators. Additionally, a mobile application was created to monitor the users' stress levels and integrate data on their blood pressure and blood glucose levels. To obtain better performance metrics, validation experiments were carried out using a medical database containing data from 128 patients with chronic diabetes, and the initial results are presented in this study.
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Affiliation(s)
- Gonçalo Ribeiro
- Department of Information Science and Technology, Iscte-Instituto Universitário de Lisboa, Av. das Forças Armadas, 1649-026 Lisbon, Portugal
- Instituto de Telecomunicações (IT), Instituto Superior Técnico, North Tower, 10th Floor, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
| | - João Monge
- Department of Information Science and Technology, Iscte-Instituto Universitário de Lisboa, Av. das Forças Armadas, 1649-026 Lisbon, Portugal
- Instituto de Telecomunicações (IT), Instituto Superior Técnico, North Tower, 10th Floor, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
| | - Octavian Postolache
- Department of Information Science and Technology, Iscte-Instituto Universitário de Lisboa, Av. das Forças Armadas, 1649-026 Lisbon, Portugal
- Instituto de Telecomunicações (IT), Instituto Superior Técnico, North Tower, 10th Floor, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
| | - José Miguel Dias Pereira
- Instituto de Telecomunicações, 3810-193 Aveiro, Portugal
- Instituto Politécnico de Setúbal, Escola Superior de Tecnologia de Setúbal, 2910-761 Setúbal, Portugal
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Park S. Emergent Management of Spontaneous Subarachnoid Hemorrhage. Continuum (Minneap Minn) 2024; 30:662-681. [PMID: 38830067 DOI: 10.1212/con.0000000000001428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
OBJECTIVE Spontaneous subarachnoid hemorrhage (SAH) carries high morbidity and mortality rates, and the emergent management of this disease can make a large impact on patient outcome. The purpose of this article is to provide a pragmatic overview of the emergent management of SAH. LATEST DEVELOPMENTS Recent trials have influenced practice around the use of antifibrinolytics, the timing of aneurysm securement, the recognition of cerebral edema and focus on avoiding a lower limit of perfusion, and the detection and prevention of delayed cerebral ischemia. Much of the acute management of SAH can be protocolized, as demonstrated by two updated guidelines published by the American Heart Association/American Stroke Association and the Neurocritical Care Society in 2023. However, the gaps in evidence lead to clinical equipoise in some aspects of critical care management. ESSENTIAL POINTS In acute management, there is an urgency to differentiate the etiology of SAH and take key emergent actions including blood pressure management and coagulopathy reversal. The critical care management of SAH is similar to that of other acute brain injuries, with the addition of detecting and treating delayed cerebral ischemia. Strategies for the detection and treatment of delayed cerebral ischemia are limited by disordered consciousness and may be augmented by monitoring and imaging technology.
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Liang S, Tian X, Gao F, Man M, Wang Q, Li J, Li L, Yang Y. Prognostic significance of the stress hyperglycemia ratio and admission blood glucose in diabetic and nondiabetic patients with spontaneous intracerebral hemorrhage. Diabetol Metab Syndr 2024; 16:58. [PMID: 38438889 PMCID: PMC10910766 DOI: 10.1186/s13098-024-01293-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 02/15/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND The role of stress hyperglycemia ratio (SHR) on the prognosis of spontaneous intracerebral hemorrhage (ICH) in patients with different diabetic status has not been elucidated. This study aimed to evaluate the prognostic value of SHR and admission blood glucose (ABG) for the short- and long-term mortality in diabetic and nondiabetic populations with ICH. METHOD Participants with ICH were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC-IV). The primary outcome was all-cause 30-day and 1-year mortality. The association of SHR and ABG with the primary outcomes in diabetic and nondiabetic cohorts were assessed by Cox proportional hazard regression. RESULTS Overall, 1029 patients with a median age of 71.09 (IQR: 60.05-81.97) were included. Among them, 548 (53%) individuals were male, and 95 (19%) as well as 323 (31%) ones experienced the 30-day and 1-year mortality, respectively. After adjusting for confounding variables, individuals in quintile 5 of SHR had significantly higher risk of the 30-day and 1-year mortality than those in quintile 1 in the whole cohort (30-day mortality: HR 3.33, 95%CI 2.01-5.51; 1-year mortality: HR 2.09, 95% CI 1.46-3.00) and in nondiabetic patients (30-day mortality: HR 4.55, 95%CI 2.33-8.88; 1-year mortality: HR 3.06, 95%CI 1.93-4.86), but no significant difference was observed in diabetic patients. Similar results were observed for ABG as a categorical variable. As continuous variable, SHR was independently correlated with the 30-day and 1-year mortality in both of the diabetic and nondiabetic cohorts (30-day mortality: HR 2.63, 95%CI 1.50-4.60. 1-year mortality: HR 2.12, 95%CI 1.33-3.39), but this correlation was only observed in nondiabetic cohort for ABG (HR 1.00, 95%CI 0.99-1.01 for both of the 30-day and 1-year mortality). Moreover, compared with ABG, SHR can better improve the C-statistics of the original models regarding the 30-day and 1-year outcomes, especially in patients with diabetes (p < 0.001 in all models). CONCLUSION SHR might be a more useful and reliable marker than ABG for prognostic prediction and risk stratification in critically ill patients with ICH, especially in those with diabetes.
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Affiliation(s)
- Shengru Liang
- Department of Endocrinology, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Xiaoxi Tian
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Fei Gao
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Minghao Man
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Qi Wang
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Jianwei Li
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Lihong Li
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China
| | - Yang Yang
- Department of Emergency, Tangdu Hospital, Fourth Military Medical University, 710038, Xi'an, China.
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Thilak S, Brown P, Whitehouse T, Gautam N, Lawrence E, Ahmed Z, Veenith T. Diagnosis and management of subarachnoid haemorrhage. Nat Commun 2024; 15:1850. [PMID: 38424037 PMCID: PMC10904840 DOI: 10.1038/s41467-024-46015-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 02/12/2024] [Indexed: 03/02/2024] Open
Abstract
Aneurysmal subarachnoid haemorrhage (aSAH) presents a challenge to clinicians because of its multisystem effects. Advancements in computed tomography (CT), endovascular treatments, and neurocritical care have contributed to declining mortality rates. The critical care of aSAH prioritises cerebral perfusion, early aneurysm securement, and the prevention of secondary brain injury and systemic complications. Early interventions to mitigate cardiopulmonary complications, dyselectrolytemia and treatment of culprit aneurysm require a multidisciplinary approach. Standardised neurological assessments, transcranial doppler (TCD), and advanced imaging, along with hypertensive and invasive therapies, are vital in reducing delayed cerebral ischemia and poor outcomes. Health care disparities, particularly in the resource allocation for SAH treatment, affect outcomes significantly, with telemedicine and novel technologies proposed to address this health inequalities. This article underscores the necessity for comprehensive multidisciplinary care and the urgent need for large-scale studies to validate standardised treatment protocols for improved SAH outcomes.
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Affiliation(s)
- Suneesh Thilak
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
| | - Poppy Brown
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
| | - Tony Whitehouse
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK
| | - Nandan Gautam
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
| | - Errin Lawrence
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Birmingham, B15 2GW, UK
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK
| | - Zubair Ahmed
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK
- Centre for Trauma Sciences Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Tonny Veenith
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK.
- Centre for Trauma Sciences Research, University of Birmingham, Birmingham, B15 2TT, UK.
- Department of Critical Care Medicine and Anaesthesia, The Royal Wolverhampton NHS Foundation Trust, New Cross Hospital, Wolverhampton, WV10 0QP, UK.
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Feng M, Zhou J. Relationship between time-weighted average glucose and mortality in critically ill patients: a retrospective analysis of the MIMIC-IV database. Sci Rep 2024; 14:4721. [PMID: 38413682 PMCID: PMC10899565 DOI: 10.1038/s41598-024-55504-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Accepted: 02/24/2024] [Indexed: 02/29/2024] Open
Abstract
Blood glucose management in intensive care units (ICU) remains a controversial topic. We assessed the association between time-weighted average glucose (TWAG) levels and ICU mortality in critically ill patients in a real-world study. This retrospective study included critically ill patients from the Medical Information Mart for Intensive Care IV database. Glycemic distance is the difference between TWAG in the ICU and preadmission usual glycemia assessed with glycated hemoglobin at ICU admission. The TWAG and glycemic distance were divided into 4 groups and 3 groups, and their associations with ICU mortality risk were evaluated using multivariate logistic regression. Restricted cubic splines were used to explore the non-linear relationship. A total of 4737 adult patients were included. After adjusting for covariates, compared with TWAG ≤ 110 mg/dL, the odds ratios (ORs) of the TWAG > 110 mg/dL groups were 1.62 (95% CI 0.97-2.84, p = 0.075), 3.41 (95% CI 1.97-6.15, p < 0.05), and 6.62 (95% CI 3.6-12.6, p < 0.05). Compared with glycemic distance at - 15.1-20.1 mg/dL, the ORs of lower or higher groups were 0.78 (95% CI 0.50-1.21, p = 0.3) and 2.84 (95% CI 2.12-3.82, p < 0.05). The effect of hyperglycemia on ICU mortality was more pronounced in non-diabetic and non-septic patients. TWAG showed a U-shaped relationship with ICU mortality risk, and the mortality risk was minimal at 111 mg/dL. Maintaining glycemic distance ≤ 20.1 mg/dL may be beneficial. In different subgroups, the impact of hyperglycemia varied.
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Affiliation(s)
- Mengwen Feng
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Jing Zhou
- Department of Geriatric Intensive Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
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Mishra RK, Bindra A, Khandelwal A, Sharma D, Goyal K, Rath GP, Gupta DK. Brain Regional Energy Metabolism in Patients with Traumatic Brain Injury: A Cerebral Microdialysis Guided Study. Neurol India 2024; 72:78-82. [PMID: 38443006 DOI: 10.4103/neuroindia.ni_37_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 08/21/2021] [Indexed: 03/07/2024]
Abstract
BACKGROUND In traumatic brain injuries (TBI), cerebral microdialysis (CMD)-derived parameters, especially the lactate to pyruvate ratio (LP ratio), have been utilized for cerebral perfusion optimization. The objectives were to identify cerebral ischemia as measured by CMD in TBI patients requiring decompressive craniectomy and to observe the correlation between cerebral perfusion pressure (CPP), intracranial pressure (ICP), and CMD variables in these patients. Our secondary aim was to observe the effect of CPP augmentation on ischemia biomarkers. METHODS After the Institute Ethics Committee approvals, seven adult patients requiring decompressive craniectomy following TBI were enrolled and CMD data were obtained prospectively for 72 h. CPP was augmented by 20% with noradrenaline infusion if LP ratio >40. Correlations were done with bootstrapping (n = 500) to obtain the confidence intervals (CI) due to the small sample size. RESULTS One patient had cerebral ischemia (median LP ratio of 265.5 and median pyruvate of 38 μmol/L), while another patient had non-ischemic mitochondrial dysfunction (median LP ratio 40.7 and median pyruvate 278.5). The coefficients of correlation between the LP ratio with CPP and ICP were r = -0.05 (CI = -0.14-0.03) and r = 0.09 (CI = -0.03-0.24), respectively. The coefficient of correlation between cerebral and blood glucose was r = 0.38, (CI - 0.35-0.14). Only two patients needed CPP augmentation, however, postaugmentation cerebral biochemistry did not change appreciably. CONCLUSION CMD can identify cerebral ischemia, however, no correlations were observed between the LP ratio and CPP or ICP. CPP augmentation did not improve cerebral biochemistry. More studies are required to understand and treat cerebral metabolism in TBI.
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Affiliation(s)
- Rajeeb K Mishra
- Department of Neuroanesthesia and Neurocritical Care, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Ashish Bindra
- Department of Neuroanesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, India
| | - Ankur Khandelwal
- Department of Anesthesiology and Critical Care, Sharda University School of Medical Sciences and Research, Greater Noida, Uttar Pradesh, India
| | - Devjyoti Sharma
- Department of Anesthesiology, Guwahati Neurological Research Centre, Guwahati, Assam, India
| | - Keshav Goyal
- Department of Neuroanesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, India
| | - Girija P Rath
- Department of Neuroanesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, India
| | - Deepak K Gupta
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
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Riviere-Cazaux C, Rajani K, Rahman M, Oh J, Brown DA, White JF, Himes BT, Jusue-Torres I, Rodriguez M, Warrington AE, Kizilbash SH, Elmquist WF, Burns TC. Methodological and analytical considerations for intra-operative microdialysis. Fluids Barriers CNS 2023; 20:94. [PMID: 38115038 PMCID: PMC10729367 DOI: 10.1186/s12987-023-00497-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 12/01/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Microdialysis is a technique that can be utilized to sample the interstitial fluid of the central nervous system (CNS), including in primary malignant brain tumors known as gliomas. Gliomas are mainly accessible at the time of surgery, but have rarely been analyzed via interstitial fluid collected via microdialysis. To that end, we obtained an investigational device exemption for high molecular weight catheters (HMW, 100 kDa) and a variable flow rate pump to perform microdialysis at flow rates amenable to an intra-operative setting. We herein report on the lessons and insights obtained during our intra-operative HMW microdialysis trial, both in regard to methodological and analytical considerations. METHODS Intra-operative HMW microdialysis was performed during 15 clinically indicated glioma resections in fourteen patients, across three radiographically diverse regions in each patient. Microdialysates were analyzed via targeted and untargeted metabolomics via ultra-performance liquid chromatography tandem mass spectrometry. RESULTS Use of albumin and lactate-containing perfusates impacted subsets of metabolites evaluated via global metabolomics. Additionally, focal delivery of lactate via a lactate-containing perfusate, induced local metabolic changes, suggesting the potential for intra-operative pharmacodynamic studies via reverse microdialysis of candidate drugs. Multiple peri-operatively administered drugs, including levetiracetam, cefazolin, caffeine, mannitol and acetaminophen, could be detected from one microdialysate aliquot representing 10 min worth of intra-operative sampling. Moreover, clinical, radiographic, and methodological considerations for performing intra-operative microdialysis are discussed. CONCLUSIONS Intra-operative HMW microdialysis can feasibly be utilized to sample the live human CNS microenvironment, including both metabolites and drugs, within one surgery. Certain variables, such as perfusate type, must be considered during and after analysis. Trial registration NCT04047264.
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Affiliation(s)
- Cecile Riviere-Cazaux
- Department of Neurological Surgery, Mayo Clinic, 200 First St. SW, Rochester, MN, 55905, USA
| | - Karishma Rajani
- Department of Neurological Surgery, Mayo Clinic, 200 First St. SW, Rochester, MN, 55905, USA
| | - Masum Rahman
- Department of Neurological Surgery, Mayo Clinic, 200 First St. SW, Rochester, MN, 55905, USA
| | - Juhee Oh
- Brain Barriers Research Center, Department of Pharmaceutics, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Desmond A Brown
- Neurosurgical Oncology Unit, Surgical Neurology Branch, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Jaclyn F White
- Department of Neurological Surgery, Wake Forest Baptist Health, Winston-Salem, NC, USA
| | - Benjamin T Himes
- Department of Neurological Surgery, Montefiore/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ignacio Jusue-Torres
- Department of Neurological Surgery, Mayo Clinic, 200 First St. SW, Rochester, MN, 55905, USA
| | | | - Arthur E Warrington
- Brain Barriers Research Center, Department of Pharmaceutics, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - William F Elmquist
- Brain Barriers Research Center, Department of Pharmaceutics, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Terry C Burns
- Department of Neurological Surgery, Mayo Clinic, 200 First St. SW, Rochester, MN, 55905, USA.
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12
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Stovell MG, Howe DJ, Thelin EP, Jalloh I, Helmy A, Guilfoyle MR, Grice P, Mason A, Giorgi-Coll S, Gallagher CN, Murphy MP, Menon DK, Carpenter TA, Hutchinson PJ, Carpenter KLH. High-physiological and supra-physiological 1,2- 13C 2 glucose focal supplementation to the traumatised human brain. J Cereb Blood Flow Metab 2023; 43:1685-1701. [PMID: 37157814 PMCID: PMC10581237 DOI: 10.1177/0271678x231173584] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 03/12/2023] [Accepted: 04/02/2023] [Indexed: 05/10/2023]
Abstract
How to optimise glucose metabolism in the traumatised human brain remains unclear, including whether injured brain can metabolise additional glucose when supplied. We studied the effect of microdialysis-delivered 1,2-13C2 glucose at 4 and 8 mmol/L on brain extracellular chemistry using bedside ISCUSflex, and the fate of the 13C label in the 8 mmol/L group using high-resolution NMR of recovered microdialysates, in 20 patients. Compared with unsupplemented perfusion, 4 mmol/L glucose increased extracellular concentrations of pyruvate (17%, p = 0.04) and lactate (19%, p = 0.01), with a small increase in lactate/pyruvate ratio (5%, p = 0.007). Perfusion with 8 mmol/L glucose did not significantly influence extracellular chemistry measured with ISCUSflex, compared to unsupplemented perfusion. These extracellular chemistry changes appeared influenced by the underlying metabolic states of patients' traumatised brains, and the presence of relative neuroglycopaenia. Despite abundant 13C glucose supplementation, NMR revealed only 16.7% 13C enrichment of recovered extracellular lactate; the majority being glycolytic in origin. Furthermore, no 13C enrichment of TCA cycle-derived extracellular glutamine was detected. These findings indicate that a large proportion of extracellular lactate does not originate from local glucose metabolism, and taken together with our earlier studies, suggest that extracellular lactate is an important transitional step in the brain's production of glutamine.
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Affiliation(s)
- Matthew G Stovell
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Neurosurgery, The Walton Centre, Liverpool, UK
| | - Duncan J Howe
- Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Eric P Thelin
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Ibrahim Jalloh
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Adel Helmy
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Mathew R Guilfoyle
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Peter Grice
- Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Andrew Mason
- Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Susan Giorgi-Coll
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Clare N Gallagher
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
| | - Michael P Murphy
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK
| | - David K Menon
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - T Adrian Carpenter
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Peter J Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Keri LH Carpenter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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13
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Lazaridis C, Foreman B. Management Strategies Based on Multi-Modality Neuromonitoring in Severe Traumatic Brain Injury. Neurotherapeutics 2023; 20:1457-1471. [PMID: 37491682 PMCID: PMC10684466 DOI: 10.1007/s13311-023-01411-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2023] [Indexed: 07/27/2023] Open
Abstract
Secondary brain injury after neurotrauma is comprised of a host of distinct, potentially concurrent and interacting mechanisms that may exacerbate primary brain insult. Multimodality neuromonitoring is a method of measuring multiple aspects of the brain in order to understand the signatures of these different pathomechanisms and to detect, treat, or prevent potentially reversible secondary brain injuries. The most studied invasive parameters include intracranial pressure (ICP), cerebral perfusion pressure (CPP), autoregulatory indices, brain tissue partial oxygen tension, and tissue energy and metabolism measures such as the lactate pyruvate ratio. Understanding the local metabolic state of brain tissue in order to infer pathology and develop appropriate management strategies is an area of active investigation. Several clinical trials are underway to define the role of brain tissue oxygenation monitoring and electrocorticography in conjunction with other multimodal neuromonitoring information, including ICP and CPP monitoring. Identifying an optimal CPP to guide individualized management of blood pressure and ICP has been shown to be feasible, but definitive clinical trial evidence is still needed. Future work is still needed to define and clinically correlate patterns that emerge from integrated measurements of metabolism, pressure, flow, oxygenation, and electrophysiology. Pathophysiologic targets and precise critical care management strategies to address their underlying causes promise to mitigate secondary injuries and hold the potential to improve patient outcome. Advancements in clinical trial design are poised to establish new standards for the use of multimodality neuromonitoring to guide individualized clinical care.
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Affiliation(s)
- Christos Lazaridis
- Division of Neurocritical Care, Departments of Neurology and Neurosurgery, University of Chicago Medical Center, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA.
| | - Brandon Foreman
- Division of Neurocritical Care, Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, USA
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14
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Albers D, Sirlanci M, Levine M, Claassen J, Nigoghossian CD, Hripcsak G. Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J Biomed Inform 2023; 145:104477. [PMID: 37604272 DOI: 10.1016/j.jbi.2023.104477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 08/08/2023] [Accepted: 08/18/2023] [Indexed: 08/23/2023]
Abstract
OBJECTIVE Prediction of physiological mechanics are important in medical practice because interventions are guided by predicted impacts of interventions. But prediction is difficult in medicine because medicine is complex and difficult to understand from data alone, and the data are sparse relative to the complexity of the generating processes. Computational methods can increase prediction accuracy, but prediction with clinical data is difficult because the data are sparse, noisy and nonstationary. This paper focuses on predicting physiological processes given sparse, non-stationary, electronic health record data in the intensive care unit using data assimilation (DA), a broad collection of methods that pair mechanistic models with inference methods. METHODS A methodological pipeline embedding a glucose-insulin model into a new DA framework, the constrained ensemble Kalman filter (CEnKF) to forecast blood glucose was developed. The data include tube-fed patients whose nutrition, blood glucose, administered insulins and medications were extracted by hand due to their complexity and to ensure accuracy. The model was estimated using an individual's data as if they arrived in real-time, and the estimated model was run forward producing a forecast. Both constrained and unconstrained ensemble Kalman filters were estimated to compare the impact of constraints. Constraint boundaries, model parameter sets estimated, and data used to estimate the models were varied to investigate their influence on forecasting accuracy. Forecasting accuracy was evaluated according to mean squared error between the model-forecasted glucose and the measurements and by comparing distributions of measured glucose and forecast ensemble means. RESULTS The novel CEnKF produced substantial gains in robustness and accuracy while minimizing the data requirements compared to the unconstrained ensemble Kalman filters. Administered insulin and tube-nutrition were important for accurate forecasting, but including glucose in IV medication delivery did not increase forecast accuracy. Model flexibility, controlled by constraint boundaries and estimated parameters, did influence forecasting accuracy. CONCLUSION Accurate and robust physiological forecasting with sparse clinical data is possible with DA. Introducing constrained inference, particularly on unmeasured states and parameters, reduced forecast error and data requirements. The results are not particularly sensitive to model flexibility such as constraint boundaries, but over or under constraining increased forecasting errors.
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Affiliation(s)
- David Albers
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, 80045, CO, USA; Department of Biomedical Engineering, University of Colorado Anschutz Medical Campus, Aurora, 80045, CO, USA; Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, 80045, CO, USA; Department of Biomedical Informatics, Columbia University, New York, 10032, NY, USA.
| | - Melike Sirlanci
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, 80045, CO, USA
| | - Matthew Levine
- Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, 91125, CA, USA
| | - Jan Claassen
- Division of Critical Care Neurology, Department of Neurology, Columbia University, New York, 10032, NY, USA
| | | | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, 10032, NY, USA
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15
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Hoh BL, Ko NU, Amin-Hanjani S, Chou SHY, Cruz-Flores S, Dangayach NS, Derdeyn CP, Du R, Hänggi D, Hetts SW, Ifejika NL, Johnson R, Keigher KM, Leslie-Mazwi TM, Lucke-Wold B, Rabinstein AA, Robicsek SA, Stapleton CJ, Suarez JI, Tjoumakaris SI, Welch BG. 2023 Guideline for the Management of Patients With Aneurysmal Subarachnoid Hemorrhage: A Guideline From the American Heart Association/American Stroke Association. Stroke 2023; 54:e314-e370. [PMID: 37212182 DOI: 10.1161/str.0000000000000436] [Citation(s) in RCA: 229] [Impact Index Per Article: 114.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
AIM The "2023 Guideline for the Management of Patients With Aneurysmal Subarachnoid Hemorrhage" replaces the 2012 "Guidelines for the Management of Aneurysmal Subarachnoid Hemorrhage." The 2023 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with aneurysmal subarachnoid hemorrhage. METHODS A comprehensive search for literature published since the 2012 guideline, derived from research principally involving human subjects, published in English, and indexed in MEDLINE, PubMed, Cochrane Library, and other selected databases relevant to this guideline, was conducted between March 2022 and June 2022. In addition, the guideline writing group reviewed documents on related subject matter previously published by the American Heart Association. Newer studies published between July 2022 and November 2022 that affected recommendation content, Class of Recommendation, or Level of Evidence were included if appropriate. Structure: Aneurysmal subarachnoid hemorrhage is a significant global public health threat and a severely morbid and often deadly condition. The 2023 aneurysmal subarachnoid hemorrhage guideline provides recommendations based on current evidence for the treatment of these patients. The recommendations present an evidence-based approach to preventing, diagnosing, and managing patients with aneurysmal subarachnoid hemorrhage, with the intent to improve quality of care and align with patients' and their families' and caregivers' interests. Many recommendations from the previous aneurysmal subarachnoid hemorrhage guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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16
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Elbelihy OE, Masalmeh HA, Shah MN, Khan N, Gebril AA. Stress Hyperglycemia Secondary to Abdominal Emergency Mimicking Diabetic Ketoacidosis in a Pediatric Patient. Cureus 2023; 15:e37505. [PMID: 37187638 PMCID: PMC10181911 DOI: 10.7759/cureus.37505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
Abdominal pain in a pediatric patient with diabetic ketoacidosis (DKA) can be mistaken for surgical or septic causes of acute abdomen. Both DKA and surgical abdominal emergencies can cause lactic acidosis (LA), which makes it challenging to differentiate between them. Fluid therapy resulting in quick alleviation of metabolic acidosis could be a valuable sign in differentiating surgical abdomen from DKA. In this report, we present a case of the surgical abdomen with stress hyperglycemia that mimicked DKA.
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Affiliation(s)
| | | | | | - Noman Khan
- Radiology, Aga Khan University Hospital, Karachi, PAK
| | - Amr A Gebril
- Emergency Medicine, NMC Royal Hospital, Abu Dhabi, ARE
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17
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Kim H. Anesthetic management of the traumatic brain injury patients undergoing non-neurosurgery. Anesth Pain Med (Seoul) 2023; 18:104-113. [PMID: 37183278 PMCID: PMC10183618 DOI: 10.17085/apm.23017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 03/15/2023] [Indexed: 05/16/2023] Open
Abstract
This article describes the anesthetic management of patients with traumatic brain injury (TBI) undergoing non-neurosurgery, primarily targeting intraoperative management for multiple-trauma surgery. The aim of this review is to promote the best clinical practice for patients with TBI in order to prevent secondary brain injury. Based on the current clinical guidelines and evidence, anesthetic selection and administration; maintenance of optimal cerebral perfusion pressure, oxygenation and ventilation; coagulation monitoring; glucose control; and temperature management are addressed. Neurological recovery, which is critical for improving the patient's quality of life, is most important; therefore, future research needs to be focused on this aspect.
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Affiliation(s)
- Hyunjee Kim
- Department of Anesthesiology and Pain Medicine, School of Medicine, Kyungpook National University, Daegu, Korea
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18
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Svedung Wettervik T, Lewén A, Enblad P. Fine tuning of neurointensive care in aneurysmal subarachnoid hemorrhage: From one-size-fits-all towards individualized care. World Neurosurg X 2023; 18:100160. [PMID: 36818739 PMCID: PMC9932216 DOI: 10.1016/j.wnsx.2023.100160] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/20/2023] [Accepted: 01/22/2023] [Indexed: 01/25/2023] Open
Abstract
Aneurysmal subarachnoid hemorrhage (aSAH) is a severe type of acute brain injury with high mortality and burden of neurological sequelae. General management aims at early aneurysm occlusion to prevent re-bleeding, cerebrospinal fluid drainage in case of increased intracranial pressure and/or acute hydrocephalus, and cerebral blood flow augmentation in case of delayed ischemic neurological deficits. In addition, the brain is vulnerable to physiological insults in the acute phase and neurointensive care (NIC) is important to optimize the cerebral physiology to avoid secondary brain injury. NIC has led to significantly better neurological recovery following aSAH, but there is still great room for further improvements. First, current aSAH NIC management protocols are to some extent extrapolated from those in traumatic brain injury, notwithstanding important disease-specific differences. Second, the same NIC management protocols are applied to all aSAH patients, despite great patient heterogeneity. Third, the main variables of interest, intracranial pressure and cerebral perfusion pressure, may be too superficial to fully detect and treat several important pathomechanisms. Fourth, there is a lack of understanding not only regarding physiological, but also cellular and molecular pathomechanisms and there is a need to better monitor and treat these processes. This narrative review aims to discuss current state-of-the-art NIC of aSAH, knowledge gaps in the field, and future directions towards a more individualized care in the future.
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Affiliation(s)
- Teodor Svedung Wettervik
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, SE-751 85, Uppsala, Sweden
| | - Anders Lewén
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, SE-751 85, Uppsala, Sweden
| | - Per Enblad
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, SE-751 85, Uppsala, Sweden
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19
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Wilson LD, Maiga AW, Lombardo S, Nordness MF, Haddad DN, Rakhit S, Smith LF, Rivera EL, Cook MR, Thompson JL, Raman R, Patel MB. Dynamic predictors of in-hospital and 3-year mortality after traumatic brain injury: A retrospective cohort study. Am J Surg 2023; 225:781-786. [PMID: 36372578 PMCID: PMC10750767 DOI: 10.1016/j.amjsurg.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/27/2022] [Accepted: 10/05/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND Mortality risks after Traumatic Brain Injury (TBI) are understudied in critical illness. We sought to identify risks of mortality in critically ill patients with TBI using time-varying covariates. METHODS This single-center, six-year (2006-2012), retrospective cohort study measured demographics, injury characteristics, and daily data of acute TBI patients in the Intensive Care Unit (ICU). Time-varying Cox proportional hazards models assessed in-hospital and 3-year mortality. RESULTS Post-TBI ICU patients (n = 2664) experienced 20% in-hospital mortality (n = 529) and 27% (n = 706) 3-year mortality. Glasgow Coma Scale motor subscore (hazard ratio (HR) 0.58, p < 0.001), pupil reactivity (HR 3.17, p < 0.001), minimum glucose (HR 1.44, p < 0.001), mSOFA score (HR 1.81, p < 0.001), coma (HR 2.26, p < 0.001), and benzodiazepines (HR 1.38, p < 0.001) were associated with in-hospital mortality. At three years, public insurance (HR 1.78, p = 0.011) and discharge disposition (HR 4.48, p < 0.001) were associated with death. CONCLUSIONS Time-varying characteristics influenced in-hospital mortality post-TBI. Socioeconomic factors primarily affect three-year mortality.
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Affiliation(s)
- Laura D Wilson
- Oxley College of Health Sciences, Communication Sciences and Disorders, The University of Tulsa, 800 S Tucker Dr, Tulsa, OK, 74104, USA
| | - Amelia W Maiga
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Division of Acute Care Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, 1211 21st Avenue South, Suite 404, Nashville, TN, 37212, USA
| | - Sarah Lombardo
- Division of Acute Care Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, 1211 21st Avenue South, Suite 404, Nashville, TN, 37212, USA; Section of Acute Care Surgery, Division of General Surgery, Department of Surgery, University of Utah Health, 30 N 1900 E, Salt Lake City, UT, 84132, USA
| | - Mina F Nordness
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Division of Acute Care Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, 1211 21st Avenue South, Suite 404, Nashville, TN, 37212, USA
| | - Diane N Haddad
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Division of Acute Care Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, 1211 21st Avenue South, Suite 404, Nashville, TN, 37212, USA; The Trauma Center at Penn, 51 North 39th ST, MOB Suite 120, Philadelphia, PA, 19104, USA
| | - Shayan Rakhit
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Division of Acute Care Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, 1211 21st Avenue South, Suite 404, Nashville, TN, 37212, USA
| | - Laney F Smith
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Georgetown Lombardi Comprehensive Cancer Center, 3800 Reservoir Rd, NW., Washington, D.C., 20057, USA
| | - Erika L Rivera
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Division of Acute Care Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, 1211 21st Avenue South, Suite 404, Nashville, TN, 37212, USA
| | - Madison R Cook
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Division of Acute Care Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, 1211 21st Avenue South, Suite 404, Nashville, TN, 37212, USA; Meharry Medical College, 1005 Dr DB Todd Jr Blvd, Nashville, TN, 37208, USA; Department of Surgery, Temple University Hospital, 3401 N. Broad Street, Parkinson Pavilion, Suite 400, Philadelphia, PA, 19140, USA
| | - Jennifer L Thompson
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Room 11133B, 2525 West End Avenue Nashville, TN, 37203, USA; Devoted Health, 221 Crescent St #202, Waltham, MA, 02453, USA
| | - Rameela Raman
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Room 11133B, 2525 West End Avenue Nashville, TN, 37203, USA
| | - Mayur B Patel
- Critical Illness, Brain Dysfunction, & Survivorship Center, Vanderbilt Center for Health Services Research, Vanderbilt Institute for Medicine and Public Health, Vanderbilt University Medical Center, Suite 450, 4th Floor, 2525 West End Avenue Nashville, TN, 37203, USA; Division of Acute Care Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, 1211 21st Avenue South, Suite 404, Nashville, TN, 37212, USA; Vanderbilt University Medical Center, Geriatric Research Education and Clinical Center, Surgical Services, Tennessee Valley Healthcare System, USA.
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20
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Denchev K, Gomez J, Chen P, Rosenblatt K. Traumatic Brain Injury: Intraoperative Management and Intensive Care Unit Multimodality Monitoring. Anesthesiol Clin 2023; 41:39-78. [PMID: 36872007 DOI: 10.1016/j.anclin.2022.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
Traumatic brain injury is a devastating event associated with substantial morbidity. Pathophysiology involves the initial trauma, subsequent inflammatory response, and secondary insults, which worsen brain injury severity. Management entails cardiopulmonary stabilization and diagnostic imaging with targeted interventions, such as decompressive hemicraniectomy, intracranial monitors or drains, and pharmacological agents to reduce intracranial pressure. Anesthesia and intensive care requires control of multiple physiologic variables and evidence-based practices to reduce secondary brain injury. Advances in biomedical engineering have enhanced assessments of cerebral oxygenation, pressure, metabolism, blood flow, and autoregulation. Many centers employ multimodality neuromonitoring for targeted therapies with the hope to improve recovery.
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Affiliation(s)
- Krassimir Denchev
- Department of Anesthesiology, Wayne State University, 44555 Woodward Avenue, SJMO Medical Office Building, Suite 308, Pontiac, MI 48341, USA
| | - Jonathan Gomez
- Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Phipps 455, Baltimore, MD 21287, USA
| | - Pinxia Chen
- Department of Anesthesiology and Critical Care Medicine, St. Luke's University Health Network, 801 Ostrum Street, Bethlehem, PA 18015, USA
| | - Kathryn Rosenblatt
- Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Phipps 455, Baltimore, MD 21287, USA; Department of Neurology, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Phipps 455, Baltimore, MD 21287, USA.
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21
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Sharma H, McGinnis JP, Kabotyanski KE, Gopinath SP, Goodman JC, Robertson C, Cruz Navarro J. Cerebral microdialysis and glucopenia in traumatic brain injury: A review. Front Neurol 2023; 14:1017290. [PMID: 36779054 PMCID: PMC9911651 DOI: 10.3389/fneur.2023.1017290] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 01/09/2023] [Indexed: 01/28/2023] Open
Abstract
Traditionally, intracranial pressure (ICP) and partial brain tissue oxygenation (PbtO2) have been the primary invasive intracranial measurements used to guide management in patients with severe traumatic brain injury (TBI). After injury however, the brain develops an increased metabolic demand which may require an increment in the oxidative metabolism of glucose. Simultaneously, metabolic, and electrical dysfunction can lead to an inability to meet these demands, even in the absence of ischemia or increased intracranial pressure. Cerebral microdialysis provides the ability to accurately measure local concentrations of various solutes including lactate, pyruvate, glycerol and glucose. Experimental and clinical data demonstrate that such measurements of cellular metabolism can yield critical missing information about a patient's physiologic state and help limit secondary damage. Glucose management in traumatic brain injury is still an unresolved question. As cerebral glucose metabolism may be uncoupled from systemic glucose levels due to the metabolic dysfunction, measurement of cerebral extracellular glucose concentrations could provide more predictive information and prove to be a better biomarker to avoid secondary injury of at-risk brain tissue. Based on data obtained from cerebral microdialysis, specific interventions such as ICP-directed therapy, blood glucose increment, seizure control, and/or brain oxygen optimization can be instituted to minimize or prevent secondary insults. Thus, microdialysis measurements of parenchymal metabolic function provides clinically valuable information that cannot be obtained by other monitoring adjuncts in the standard ICU setting.
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Affiliation(s)
- Himanshu Sharma
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States,*Correspondence: Himanshu Sharma ✉
| | - John P. McGinnis
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | | | - Shankar P. Gopinath
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Jerry C. Goodman
- Department of Pathology, Baylor College of Medicine, Houston, TX, United States
| | - Claudia Robertson
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Jovany Cruz Navarro
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States,Department of Anesthesiology, Baylor College of Medicine, Houston, TX, United States
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22
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Wang Z, Ma J, Wu R, Kong Y, Sun C. Recent advances of long non-coding RNAs in control of hepatic gluconeogenesis. Front Endocrinol (Lausanne) 2023; 14:1167592. [PMID: 37065737 PMCID: PMC10102572 DOI: 10.3389/fendo.2023.1167592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 03/21/2023] [Indexed: 04/03/2023] Open
Abstract
Gluconeogenesis is the main process for endogenous glucose production during prolonged fasting, or certain pathological conditions, which occurs primarily in the liver. Hepatic gluconeogenesis is a biochemical process that is finely controlled by hormones such as insulin and glucagon, and it is of great importance for maintaining normal physiological blood glucose levels. Dysregulated gluconeogenesis induced by obesity is often associated with hyperglycemia, hyperinsulinemia, and type 2 diabetes (T2D). Long noncoding RNAs (lncRNAs) are involved in various cellular events, from gene transcription to protein translation, stability, and function. In recent years, a growing number of evidences has shown that lncRNAs play a key role in hepatic gluconeogenesis and thereby, affect the pathogenesis of T2D. Here we summarized the recent progress in lncRNAs and hepatic gluconeogenesis.
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Affiliation(s)
- Zhe Wang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neurogeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, China
| | - Jinyu Ma
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neurogeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, China
| | - Runze Wu
- Department of Endocrinology, Changshu No.2 People’s Hospital, Changshu, Jiangsu, China
| | - Yinghong Kong
- Department of Endocrinology, Changshu No.2 People’s Hospital, Changshu, Jiangsu, China
- *Correspondence: Yinghong Kong, ; Cheng Sun,
| | - Cheng Sun
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neurogeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, China
- *Correspondence: Yinghong Kong, ; Cheng Sun,
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23
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Bayfield NGR, Bibo L, Budgeon C, Larbalestier R, Briffa T. Conventional Glycaemic Control May Not Be Beneficial in Diabetic Patients Following Cardiac Surgery. Heart Lung Circ 2022; 31:1692-1698. [PMID: 36155720 DOI: 10.1016/j.hlc.2022.08.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 08/02/2022] [Accepted: 08/12/2022] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Stress hyperglycaemia is common following cardiac surgery. Its optimal management is uncertain and emerging literature suggests that flexible glycaemic control in diabetic patients may be preferable. This study aims to assess the relationship between maximal postoperative in-hospital blood glucose levels (BSL) and the morbidity and mortality outcomes of diabetic and non-diabetic cardiac surgery patients. METHODS A retrospective cohort analysis of all patients undergoing cardiac surgery at a tertiary single centre institution from 2015 to 2019 was undertaken. Early management and outcomes of hyperglycaemia following cardiac surgery were assessed via multivariable regression modelling. Follow-up was assessed to 1 year postoperatively. RESULTS Consecutive non-diabetic patients (n=1,050) and diabetic patients (n=689) post cardiac surgery were included. Diabetics with peak BSL ≤13.9 mmol/L did not have an increased risk of morbidity or mortality compared to non-diabetics with peak BSL ≤10.0 mmol/L. In non-diabetics, stress hyperglycaemia with peak BSL >10.0 mmol/L was associated with overall wound complications (5.7% vs 8.8%, OR 1.64 [1.00-2.69], p=0.049) and postoperative pneumonia (2.7% vs 7.3%, OR 2.35 [1.26-4.38], p=0.007). Diabetic patients with postoperative peak BSL >13.9 mmol/L were at an increased risk of overall wound complication (7.4% vs 14.8%, OR 2.47 [1.46-4.16], p<0.001), graft harvest site infection (3.7% vs 11.8%, OR 3.75 [1.92-7.30], p<0.001), and wound-related readmission (3.1% vs 8.8%, OR 3.11 [1.49-6.47], p=0.002) when compared to diabetics with peak BSL ≤13.9 mmol/L. CONCLUSION In non-diabetics, stress hyperglycaemia with peak BSL >10.0 mmol/L is associated with morbidity. In diabetic patients, hyperglycaemia with peak BSL ≤13.9 mmol/L was not associated with an increased risk of morbidity or mortality compared to non-diabetics with peak BSL ≤10.0 mmol/L. Further investigation of flexible glycaemic targets (target BSL ≤13.9 mmol/L) in diabetic patients is warranted.
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Affiliation(s)
- Nicholas G R Bayfield
- Department of Cardiothoracic Surgery and Transplantation, Fiona Stanley Hospital, Perth, WA, Australia; School of Medicine, University of Western Australia, Perth, WA, Australia.
| | - Liam Bibo
- Department of Cardiothoracic Surgery and Transplantation, Fiona Stanley Hospital, Perth, WA, Australia; School of Medicine, University of Western Australia, Perth, WA, Australia
| | - Charley Budgeon
- School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Robert Larbalestier
- Department of Cardiothoracic Surgery and Transplantation, Fiona Stanley Hospital, Perth, WA, Australia
| | - Tom Briffa
- School of Population and Global Health, University of Western Australia, Perth, WA, Australia
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24
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Fractional Gluconeogenesis: A Biomarker of Dietary Energy Adequacy in a Rat Brain Injury Model. Metabolites 2022; 12:metabo12121163. [PMID: 36557201 PMCID: PMC9781857 DOI: 10.3390/metabo12121163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/15/2022] [Accepted: 11/19/2022] [Indexed: 11/24/2022] Open
Abstract
Patients treated for traumatic brain injury (TBI) are in metabolic crises because of the trauma and underfeeding. We utilized fractional gluconeogenesis (fGNG) to assess nutritional adequacy in ad libitum-fed and calorically-restricted rats following TBI. Male Sprague-Dawley individually housed rats 49 days of age were randomly assigned into four groups: ad libitum (AL) fed control (AL-Con, sham), AL plus TBI (AL+TBI), caloric restriction (CR) control (CR-Con, sham), and CR plus TBI (CR+TBI). From days 1-7 animals were given AL access to food and water containing 6% deuterium oxide (D2O). On day 8, a pre-intervention blood sample was drawn from each animal, and TBI, sham injury, and CR protocols were initiated. On day 22, the animals were euthanized, and blood was collected to measure fGNG. Pre-intervention, there was no significant difference in fGNG among groups (p ≥ 0.05). There was a significant increase in fGNG due to caloric restriction, independent of TBI (p ≤ 0.05). In addition, fGNG may provide a real-time, personalized biomarker for assessing patient dietary caloric needs.
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25
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Abstract
PURPOSE OF REVIEW Outcome following traumatic brain injury (TBI) remains variable, and derangements in cerebral metabolism are a common finding in patients with poor outcome. This review compares our understanding of cerebral metabolism in health with derangements seen following TBI. RECENT FINDINGS Ischemia is common within the first 24 h of injury and inconsistently detected by bedside monitoring. Metabolic derangements can also result from tissue hypoxia in the absence of ischemic reductions in blood flow due to microvascular ischemia and mitochondrial dysfunction. Glucose delivery across the injured brain is dependent on blood glucose and regional cerebral blood flow, and is an important contributor to derangements in glucose metabolism. Alternative energy substrates such as lactate, ketone bodies and succinate that may support mitochondrial function, and can be utilized when glucose availability is low, have been studied following TBI but require further investigation. SUMMARY Mitochondrial dysfunction and the use of alternative energy substrates are potential therapeutic targets, but improved understanding of the causes, impact and significance of metabolic derangements in clinical TBI are needed. Maintaining adequate oxygen and glucose delivery across the injured brain may accelerate the recovery of mitochondrial function and cerebral energy metabolism and remain important management targets.
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Affiliation(s)
- Simon Demers-Marcil
- Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
- Department of Anesthesiology and Critical Care, CHU de Québec-Université Laval, Quebec City, Quebec, Canada
| | - Jonathan P. Coles
- Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
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26
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Sharma K, Akre S, Chakole S, Wanjari MB. Stress-Induced Diabetes: A Review. Cureus 2022; 14:e29142. [PMID: 36258973 PMCID: PMC9561544 DOI: 10.7759/cureus.29142] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 09/13/2022] [Indexed: 12/04/2022] Open
Abstract
It has long been established that stress has a significant impact on metabolic function. Type 2 diabetes may be initiated by psychological and physical stress. The central and peripheral nervous systems are both involved in the neuroendocrine framework that underlies the underlying processes. The release of catecholamines and a rise in serum glucocorticoid concentrations caused by psychological stress enhance the requirement for insulin and insulin resistance. Experiencing persistent hyperglycemia in people with diabetes may be influenced by stress. Blood sugar levels may rise due to hormones being released in response to stress. Although this has adaptive significance in a healthy patient, in the long run, it can cause insulin resistance and lead to diabetes. Additionally, diabetes may cause abnormalities in the regulation of these stress hormones.
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27
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Abstract
Subarachnoid haemorrhage (SAH) is the third most common subtype of stroke. Incidence has decreased over past decades, possibly in part related to lifestyle changes such as smoking cessation and management of hypertension. Approximately a quarter of patients with SAH die before hospital admission; overall outcomes are improved in those admitted to hospital, but with elevated risk of long-term neuropsychiatric sequelae such as depression. The disease continues to have a major public health impact as the mean age of onset is in the mid-fifties, leading to many years of reduced quality of life. The clinical presentation varies, but severe, sudden onset of headache is the most common symptom, variably associated with meningismus, transient or prolonged unconsciousness, and focal neurological deficits including cranial nerve palsies and paresis. Diagnosis is made by CT scan of the head possibly followed by lumbar puncture. Aneurysms are commonly the underlying vascular cause of spontaneous SAH and are diagnosed by angiography. Emergent therapeutic interventions are focused on decreasing the risk of rebleeding (ie, preventing hypertension and correcting coagulopathies) and, most crucially, early aneurysm treatment using coil embolisation or clipping. Management of the disease is best delivered in specialised intensive care units and high-volume centres by a multidisciplinary team. Increasingly, early brain injury presenting as global cerebral oedema is recognised as a potential treatment target but, currently, disease management is largely focused on addressing secondary complications such as hydrocephalus, delayed cerebral ischaemia related to microvascular dysfunction and large vessel vasospasm, and medical complications such as stunned myocardium and hospital acquired infections.
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Affiliation(s)
- Jan Claassen
- Department of Neurology, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, NY, USA.
| | - Soojin Park
- Department of Neurology, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, NY, USA
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28
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Greenberg SM, Ziai WC, Cordonnier C, Dowlatshahi D, Francis B, Goldstein JN, Hemphill JC, Johnson R, Keigher KM, Mack WJ, Mocco J, Newton EJ, Ruff IM, Sansing LH, Schulman S, Selim MH, Sheth KN, Sprigg N, Sunnerhagen KS. 2022 Guideline for the Management of Patients With Spontaneous Intracerebral Hemorrhage: A Guideline From the American Heart Association/American Stroke Association. Stroke 2022; 53:e282-e361. [PMID: 35579034 DOI: 10.1161/str.0000000000000407] [Citation(s) in RCA: 565] [Impact Index Per Article: 188.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | - William J Mack
- AHA Stroke Council Scientific Statement Oversight Committee on Clinical Practice Guideline liaison
| | | | | | - Ilana M Ruff
- AHA Stroke Council Stroke Performance Measures Oversight Committee liaison
| | | | | | | | - Kevin N Sheth
- AHA Stroke Council Scientific Statement Oversight Committee on Clinical Practice Guideline liaison.,AAN representative
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29
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Casault C, Couillard P, Kromm J, Rosenthal E, Kramer A, Brindley P. Multimodal brain monitoring following traumatic brain injury: A primer for intensive care practitioners. J Intensive Care Soc 2022; 23:191-202. [PMID: 35615230 PMCID: PMC9125434 DOI: 10.1177/1751143720980273] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2023] Open
Abstract
Traumatic brain injury (TBI) is common and potentially devastating. Traditional examination-based patient monitoring following TBI may be inadequate for frontline clinicians to reduce secondary brain injury through individualized therapy. Multimodal neurologic monitoring (MMM) offers great potential for detecting early injury and improving outcomes. By assessing cerebral oxygenation, autoregulation and metabolism, clinicians may be able to understand neurophysiology during acute brain injury, and offer therapies better suited to each patient and each stage of injury. Hence, we offer this primer on brain tissue oxygen monitoring, pressure reactivity index monitoring and cerebral microdialysis. This narrative review serves as an introductory guide to the latest clinically-relevant evidence regarding key neuromonitoring techniques.
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Affiliation(s)
- Colin Casault
- Department of Critical Care
Medicine, University of Calgary, Calgary, Canada
| | - Philippe Couillard
- Department of Critical Care
Medicine, University of Calgary, Calgary, Canada
- Department of Clinical
Neurosciences, University of Calgary, Calgary, Canada
| | - Julie Kromm
- Department of Critical Care
Medicine, University of Calgary, Calgary, Canada
- Department of Clinical
Neurosciences, University of Calgary, Calgary, Canada
| | - Eric Rosenthal
- Department of Critical Care
Medicine, University of Alberta, Edmonton, Canada
| | - Andreas Kramer
- Department of Critical Care
Medicine, University of Calgary, Calgary, Canada
- Department of Clinical
Neurosciences, University of Calgary, Calgary, Canada
| | - Peter Brindley
- Department of Neurology, Harvard
University, Boston, MA, USA
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30
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Zimphango C, Alimagham FC, Carpenter KLH, Hutchinson PJ, Hutter T. Monitoring Neurochemistry in Traumatic Brain Injury Patients Using Microdialysis Integrated with Biosensors: A Review. Metabolites 2022; 12:metabo12050393. [PMID: 35629896 PMCID: PMC9146878 DOI: 10.3390/metabo12050393] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/14/2022] [Accepted: 04/20/2022] [Indexed: 02/04/2023] Open
Abstract
In a traumatically injured brain, the cerebral microdialysis technique allows continuous sampling of fluid from the brain’s extracellular space. The retrieved brain fluid contains useful metabolites that indicate the brain’s energy state. Assessment of these metabolites along with other parameters, such as intracranial pressure, brain tissue oxygenation, and cerebral perfusion pressure, may help inform clinical decision making, guide medical treatments, and aid in the prognostication of patient outcomes. Currently, brain metabolites are assayed on bedside analysers and results can only be achieved hourly. This is a major drawback because critical information within each hour is lost. To address this, recent advances have focussed on developing biosensing techniques for integration with microdialysis to achieve continuous online monitoring. In this review, we discuss progress in this field, focusing on various types of sensing devices and their ability to quantify specific cerebral metabolites at clinically relevant concentrations. Important points that require further investigation are highlighted, and comments on future perspectives are provided.
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Affiliation(s)
- Chisomo Zimphango
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (F.C.A.); (K.L.H.C.); (P.J.H.); (T.H.)
- Correspondence:
| | - Farah C. Alimagham
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (F.C.A.); (K.L.H.C.); (P.J.H.); (T.H.)
| | - Keri L. H. Carpenter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (F.C.A.); (K.L.H.C.); (P.J.H.); (T.H.)
| | - Peter J. Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (F.C.A.); (K.L.H.C.); (P.J.H.); (T.H.)
| | - Tanya Hutter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (F.C.A.); (K.L.H.C.); (P.J.H.); (T.H.)
- Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
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Kofler M, Beer R, Marinoni S, Schiefecker AJ, Gaasch M, Rass V, Lindner A, Lanosi BA, Rhomberg P, Pfausler B, Thomé C, Stover JF, Schmutzhard E, Helbok R. Early supplemental parenteral nutrition for the achievement of nutritional goals in subarachnoid hemorrhage patients: An observational cohort study. PLoS One 2022; 17:e0265729. [PMID: 35303046 PMCID: PMC8932621 DOI: 10.1371/journal.pone.0265729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 03/07/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose Enteral nutrition (EN) often fails to achieve nutritional goals in neurocritical care patients. We sought to investigate the safety and utility of supplemental parenteral nutrition (PN) in subarachnoid hemorrhage (SAH) patients. Materials and methods Data of 70 consecutive patients with non-traumatic SAH admitted to the neurological intensive care unit of a tertiary referral center were prospectively collected and retrospectively analyzed. We targeted the provision of 20–25 kilocalories per kilogram bodyweight per day (kcal/kg/d) by enteral nutrition. Supplemental PN was given when this target could not be reached. Nutritional data were analyzed for up to 14 days of ICU stay. Hospital complications were tested for associations with impaired enteral feeding. The amounts of EN and PN were tested for associations with the level of protein delivery and functional outcome. Repeated measurements within subjects were handled utilizing generalized estimating equations. Results Forty (27 women and 13 men) of 70 screened patients were eligible for the analysis. Median age was 61 (IQR 49–71) years, 8 patients (20%) died in the hospital. Thirty-six patients (90%) received PN for a median duration of 8 (IQR 4–12) days. The provision of 20 kcal/kg by EN on at least 1 day of ICU stay was only achieved in 24 patients (60%). Hydrocephalus (p = 0.020), pneumonia (p = 0.037) and sepsis (p = 0.013) were associated with impaired enteral feeding. Neither the amount nor the duration of PN administration was associated with an increased risk of severe complications or poor outcome. Supplemental PN was associated with significantly increased protein delivery (p<0.001). In patients with sepsis or pneumonia, there was an association between higher protein delivery and good functional outcome (p<0.001 and p = 0.031), but not in the overall cohort (p = 0.08). Conclusions Enteral feeding was insufficient to achieve nutritional goals in subarachnoid hemorrhage patients. Supplemental PN was safe and associated with increased protein delivery. A higher protein supply was associated with good functional outcome in patients who developed sepsis or pneumonia.
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Affiliation(s)
- Mario Kofler
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ronny Beer
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stephanie Marinoni
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Alois J. Schiefecker
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Maxime Gaasch
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Verena Rass
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Lindner
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Bogdan A. Lanosi
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Medical Informatics, UMIT–University for Health Sciences, Hall, Austria
| | - Paul Rhomberg
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Bettina Pfausler
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudius Thomé
- Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria
| | - John F. Stover
- Fresenius Kabi Germany, Bad Homburg vor der Höhe, Germany
| | - Erich Schmutzhard
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Raimund Helbok
- Neurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- * E-mail:
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32
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Lee HY, Oh BM. Nutrition Management in Patients With Traumatic Brain Injury: A Narrative Review. BRAIN & NEUROREHABILITATION 2022; 15:e4. [PMID: 36743843 PMCID: PMC9833460 DOI: 10.12786/bn.2022.15.e4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 03/19/2022] [Accepted: 03/22/2022] [Indexed: 11/08/2022] Open
Abstract
Traumatic brain injury (TBI) is a major cause of long-term physical and psychological disability and death. In patients with TBI, undernutrition is associated with an increased mortality rate, more infectious complications, and worse neurologic outcomes. Therefore, timely and effective nutritional therapy is particularly crucial in the management of TBI to improve patients' prognoses. This narrative review summarizes the issues encountered in clinical practice for patients with neurotrauma who receive acute and post-acute in-patient rehabilitation services, and it comprehensively incorporates a wide range of studies, including recent clinical practice guidelines (CPGs), with the aim of better understanding the current evidence for optimal nutritional therapy focused on TBI patients. Recent CPGs were reviewed for 6 topics: 1) hypermetabolism and variation in energy expenditure in patients with TBI, 2) delayed gastric emptying and intolerance to enteral nutrition, 3) decision-making on the route and timing of access in patients with TBI who are unable to maintain volitional intake (enteral nutrition versus parenteral nutrition), 4) decision-making on the enteral formula (standard or immune-modulating formulas), 5) glycemic control, and 6) protein support. We also identified areas that need further research in the future.
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Affiliation(s)
- Hoo Young Lee
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
- National Traffic Injury Rehabilitation Hospital, Yangpyeong, Korea
| | - Byung-Mo Oh
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
- National Traffic Injury Rehabilitation Hospital, Yangpyeong, Korea
- Institute on Aging, Seoul National University, Seoul, Korea
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33
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Yuan T, He H, Liu Y, Wang J, Kang X, Fu G, Xie F, Li A, Chen J, Wang W. Association between blood glucose levels and Glasgow Outcome Score in patients with traumatic brain injury: secondary analysis of a randomized trial. Trials 2022; 23:38. [PMID: 35033158 PMCID: PMC8760745 DOI: 10.1186/s13063-022-06005-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 01/04/2022] [Indexed: 11/25/2022] Open
Abstract
Background Blood glucose levels that are too high or too low after traumatic brain injury (TBI) negatively affect patient prognosis. This study aimed to demonstrate the relationship between blood glucose levels and the Glasgow Outcome Score (GOS) in TBI patients. Methods This study was based on a randomized, dual-center, open-label clinical trial. A total of 208 patients who participated in the randomized controlled trial were followed up for 5 years. Information on the disease, laboratory examination, insulin therapy, and surgery for patients with TBI was collected as candidate variables according to clinical importance. Additionally, data on 5-year and 6-month GOS were collected as primary and secondary outcomes, respectively. For multivariate analysis, a generalized additive model (GAM) was used to investigate relationships between blood glucose levels and GOS. The results are presented as odds ratios (ORs) with 95% confidence intervals (95% CIs). We further applied a two- piecewise linear regression model to examine the threshold effect of blood glucose level and GOS. Results A total of 182 patients were included in the final analysis. Multivariate GAM analysis revealed that a bell-shaped relationship existed between average blood glucose level and 5-year GOS score or 6-month GOS score. The inflection points of the average blood glucose level were 8.81 (95% CI: 7.43–9.48) mmol/L considering 5-year GOS as the outcome and were 8.88 (95% CI 7.43−9.74) mmol/L considering 6-month GOS score as the outcome. The same analysis revealed that there was also a bell relationship between average blood glucose levels and the favorable outcome group (GOS score ≥ 4) at 5 years or 6 months. Conclusion In a population of patients with traumatic brain injury, blood glucose levels were associated with the GOS. There was also a threshold effect between blood glucose levels and the GOS. A blood glucose level that is either too high or too low conveys a poor prognosis. Trial registration ClinicalTrials.gov NCT02161055. Registered on 11 June 2014. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06005-5.
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Affiliation(s)
- Tao Yuan
- Department of Neurosurgery, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, 222042, China
| | - Hongyu He
- Department of Neurosurgery, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, 222042, China
| | - Yuepeng Liu
- Centre for Clinical Research and Translational Medicine, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, Jiangsu Province, 222042, China
| | - Jianwei Wang
- Department of Neurosurgery, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, 222042, China
| | - Xin Kang
- Department of Neurosurgery, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, 222042, China
| | - Guanghui Fu
- Department of Neurosurgery, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, 222042, China
| | - Fangfang Xie
- Department of Neurosurgery, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, 222042, China
| | - Aimin Li
- Department of Neurosurgery, Lianyungang No.1 People's Hospital, Lianyungang, Jiangsu Province, 222042, China
| | - Jun Chen
- Department of Neurosurgery, Lianyungang No.1 People's Hospital, Lianyungang, Jiangsu Province, 222042, China
| | - Wenxue Wang
- Department of Neurosurgery, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, 222042, China.
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Khellaf A, Garcia NM, Tajsic T, Alam A, Stovell MG, Killen MJ, Howe DJ, Guilfoyle MR, Jalloh I, Timofeev I, Murphy MP, Carpenter TA, Menon DK, Ercole A, Hutchinson PJ, Carpenter KL, Thelin EP, Helmy A. Focally administered succinate improves cerebral metabolism in traumatic brain injury patients with mitochondrial dysfunction. J Cereb Blood Flow Metab 2022; 42:39-55. [PMID: 34494481 PMCID: PMC8721534 DOI: 10.1177/0271678x211042112] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Following traumatic brain injury (TBI), raised cerebral lactate/pyruvate ratio (LPR) reflects impaired energy metabolism. Raised LPR correlates with poor outcome and mortality following TBI. We prospectively recruited patients with TBI requiring neurocritical care and multimodal monitoring, and utilised a tiered management protocol targeting LPR. We identified patients with persistent raised LPR despite adequate cerebral glucose and oxygen provision, which we clinically classified as cerebral 'mitochondrial dysfunction' (MD). In patients with TBI and MD, we administered disodium 2,3-13C2 succinate (12 mmol/L) by retrodialysis into the monitored region of the brain. We recovered 13C-labelled metabolites by microdialysis and utilised nuclear magnetic resonance spectroscopy (NMR) for identification and quantification.Of 33 patients with complete monitoring, 73% had MD at some point during monitoring. In 5 patients with multimodality-defined MD, succinate administration resulted in reduced LPR(-12%) and raised brain glucose(+17%). NMR of microdialysates demonstrated that the exogenous 13C-labelled succinate was metabolised intracellularly via the tricarboxylic acid cycle. By targeting LPR using a tiered clinical algorithm incorporating intracranial pressure, brain tissue oxygenation and microdialysis parameters, we identified MD in TBI patients requiring neurointensive care. In these, focal succinate administration improved energy metabolism, evidenced by reduction in LPR. Succinate merits further investigation for TBI therapy.
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Affiliation(s)
- Abdelhakim Khellaf
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.,Division of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Nuria Marco Garcia
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Tamara Tajsic
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Aftab Alam
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Matthew G Stovell
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.,Department of Neurosurgery, The Walton Centre, Liverpool, UK
| | - Monica J Killen
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Duncan J Howe
- Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Mathew R Guilfoyle
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Ibrahim Jalloh
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Ivan Timofeev
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Michael P Murphy
- Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK
| | - T Adrian Carpenter
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - David K Menon
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.,Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Ari Ercole
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Peter J Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Keri Lh Carpenter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Eric P Thelin
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Adel Helmy
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Picard JM, Schmidt C, Sheth KN, Bösel J. Critical Care of the Patient With Acute Stroke. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00056-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Predictive effects of admission white blood cell counts and hounsfield unit values on delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. Clin Neurol Neurosurg 2021; 212:107087. [PMID: 34929583 DOI: 10.1016/j.clineuro.2021.107087] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/23/2021] [Accepted: 12/04/2021] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Neuroinflammatory response is deemed the primary pathogenesis of delayed cerebral ischemia (DCI) caused by aneurysmal subarachnoid hemorrhage (aSAH). Both white blood cell (WBC) count and Hounsfield Unit (HU) are gradually considered can reflect inflammation in DCI. This study aims to identify the relationship between WBC count and HU value and investigate the effects of both indicators in predicting DCI after aSAH. METHODS We enrolled 109 patients with aSAH admitted within 24 h of onset in our study. A multivariate logistic regression analysis was used to evaluate the admission WBC count, HU value, and combined WBC-HU associated with DCI. The receiver operating characteristic curve and area under the curve (AUC) were used to determine thresholds and detect the predictive ability of these predictors. These indicators were also compared with the established inflammation markers. RESULTS Thirty-six (33%) patients developed DCI. Both WBC count and HU value were strongly associated with the admission glucose level (ρ = .303, p = .001; ρ = .273, p = .004), World Federation of Neurosurgical Societies grade (ρ = .452, p < .001; ρ = .578; p < .001), Hunt-Hess grade (ρ = .450, p < .001; ρ = .510, p < .001), and modified Fisher scale score (ρ = .357, p < .001; ρ = .330, p < .001). After controlling these public variables, WBC count (ρ = .300, p = .002) positively correlated with HU value. An early elevated WBC (odds ratio [OR] 1.449, 95% confidence interval [CI]: 1.183-1.774, p < .001) count and HU value (OR 1.304, 95%CI: 1.149-1.479, p < .001) could independently predict the occurrence of DCI. However, only these patients with both WBC count and HU value exceeding the cut-off points (OR 36.89, 95%CI: 5.606-242.78, p < .001) were strongly correlated with DCI. Compared with a single WBC count (AUC 0.811, 95%CI: 0.729-0.892, p < .001) or HU value (AUC 0.869, 95%CI: 0.803-0.936, p < .001), the combined WBC-HU (AUC 0.898, 95%CI: 0.839-0.957, p < .001) demonstrated a better ability to predict the occurrence of DCI. Inspiringly, the prediction performance of these indicators outperformed the established inflammatory markers. CONCLUSION An early elevated WBC count and HU value could independently predict DCI occurrence between 4 and 30 days after aSAH. Furthermore, WBC count was positively correlated with HU value, and the combined WBC-HU demonstrated a superior prediction ability for DCI development compared with the individual indicator.
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Qureshi AI, Huang W, Lobanova I, Chandrasekaran PN, Hanley DF, Hsu CY, Martin RH, Steiner T, Suarez JI, Yamamoto H, Toyoda K. Effect of Moderate and Severe Persistent Hyperglycemia on Outcomes in Patients With Intracerebral Hemorrhage. Stroke 2021; 53:1226-1234. [PMID: 34844422 DOI: 10.1161/strokeaha.121.034928] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND PURPOSE We evaluated the effect of persistent hyperglycemia on outcomes in 1000 patients with intracerebral hemorrhage enrolled within 4.5 hours of symptom onset. METHODS We defined moderate and severe hyperglycemia based on serum glucose levels ≥140 mg/dL-<180 and ≥180 mg/dL, respectively, measured at baseline, 24, 48, and 72 hours. Persistent hyperglycemia was defined by 2 consecutive (24 hours apart) serum glucose levels. We evaluated the relationship between moderate and severe hyperglycemia and death or disability (defined by modified Rankin Scale score of 4-6) at 90 days in the overall cohort and in groups defined by preexisting diabetes. RESULTS In the multivariate analysis, both moderate (odds ratio, 1.8 [95% CI, 1.1-2.8]) and severe (odds ratio, 1.8 [95% CI, 1.2-2.7]) hyperglycemia were associated with higher 90-day death or disability after adjusting for Glasgow Coma Scale score, hematoma volume, presence or absence of intraventricular hemorrhage, hyperlipidemia, cigarette smoking, and hypertension (no interaction between hyperglycemia and preexisting diabetes, P=0.996). Among the patients without preexisting diabetes, both moderate (odds ratio, 1.8 [95% CI, 1.0-3.2]) and severe (odds ratio, 2.0 [95% CI, 1.1-3.7]) hyperglycemia were associated with 90-day death or disability after adjusting for above mentioned potential confounders. Among the patients with preexisting diabetes, moderate and severe hyperglycemia were not associated with 90-day death or disability. CONCLUSIONS Persistent hyperglycemia, either moderate or severe, increased the risk of death or disability in nondiabetic patients with intracerebral hemorrhage. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT01176565.
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Affiliation(s)
- Adnan I Qureshi
- Zeenat Qureshi Stroke Institute, St Cloud, MN (A.I.Q., W.H., I.L.).,Department of Neurology, University of Missouri, Columbia (A.I.Q., W.H., I.L., P.N.C.)
| | - Wei Huang
- Zeenat Qureshi Stroke Institute, St Cloud, MN (A.I.Q., W.H., I.L.).,Department of Neurology, University of Missouri, Columbia (A.I.Q., W.H., I.L., P.N.C.)
| | - Iryna Lobanova
- Zeenat Qureshi Stroke Institute, St Cloud, MN (A.I.Q., W.H., I.L.).,Department of Neurology, University of Missouri, Columbia (A.I.Q., W.H., I.L., P.N.C.)
| | | | - Daniel F Hanley
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD. (D.F.H.)
| | - Chung Y Hsu
- Graduate Institute of Clinical Medicine, China Medical University, Taichung, Taiwan (C.Y.H.)
| | - Renee H Martin
- Department of Public Health Sciences, Medical University of South Carolina, Charleston (R.H.M.)
| | - Thorsten Steiner
- Department of Neurology, University of Heidelberg, Germany (T.S.)
| | - Jose I Suarez
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD. (J.I.S.)
| | - Haruko Yamamoto
- Department of Data Science, National Cerebral and Cardiovascular Center, Suita, Japan. (H.Y.)
| | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan. (K.T.)
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Zhu Y, Jin X, Xu L, Han P, Lin S, Lu Z. Establishment and validation of prognosis model for patients with cerebral contusion. BMC Neurol 2021; 21:463. [PMID: 34844563 PMCID: PMC8628400 DOI: 10.1186/s12883-021-02482-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background And Objective Cerebral Contusion (CC) is one of the most serious injury types in patients with traumatic brain injury (TBI). In this study, the baseline data, imaging features and laboratory examinations of patients with CC were summarized and analyzed to develop and validate a prediction model of nomogram to evaluate the clinical outcomes of patients. Methods A total of 426 patients with cerebral contusion (CC) admitted to the People’s Hospital of Qinghai Province and Affiliated Hospital of Qingdao University from January 2018 to January 2021 were included in this study, We randomly divided the cohort into a training cohort (n = 284) and a validation cohort (n = 142) with a ratio of 2:1.At Least absolute shrinkage and selection operator (Lasso) regression were used for screening high-risk factors affecting patient prognosis and development of the predictive model. The identification ability and clinical application value of the prediction model were analyzed through the analysis of receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA). Results Twelve independent prognostic factors, including age, Glasgow Coma Score (GCS), Basal cistern status, Midline shift (MLS), Third ventricle status, intracranial pressure (ICP) and CT grade of cerebral edema,etc., were selected by Lasso regression analysis and included in the nomogram. The model showed good predictive performance, with a C index of (0.87, 95% CI, 0.026–0.952) in the training cohort and (0.93, 95% CI, 0.032–0.965) in the validation cohort. Clinical decision curve analysis (DCA) also showed that the model brought high clinical benefits to patients. Conclusion This study established a high accuracy of nomogram model to predict the prognosis of patients with CC, its low cost, easy to promote, is especially applicable in the acute environment, at the same time, CSF-glucose/lactate ratio(C-G/L), volume of contusion, and mean CT values of edema zone, which were included for the first time in this study, were independent predictors of poor prognosis in patients with CC. However, this model still has some limitations and deficiencies, which require large sample and multi-center prospective studies to verify and improve our results. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02482-4.
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Affiliation(s)
- Yufeng Zhu
- Department of Graduate School, Qinghai University, Xining, 810016, Qinghai, China
| | - Xiaoqing Jin
- Department of Neurosurgery, Qinghai Provincial People's Hospital, Xining, 810007, Qinghai, China
| | - Lulu Xu
- Department of Geriatric Medicine, the Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Pei Han
- Department of Neurosurgery, Qinghai Provincial People's Hospital, Xining, 810007, Qinghai, China
| | - Shengwu Lin
- Department of Graduate School, Qinghai University, Xining, 810016, Qinghai, China
| | - Zhongsheng Lu
- Department of Neurosurgery, Qinghai Provincial People's Hospital, Xining, 810007, Qinghai, China.
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Predictive Relevance of Baseline Lactate and Glucose Levels in Patients with Spontaneous Deep-Seated Intracerebral Hemorrhage. Brain Sci 2021; 11:brainsci11050633. [PMID: 34069048 PMCID: PMC8156008 DOI: 10.3390/brainsci11050633] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 05/08/2021] [Accepted: 05/12/2021] [Indexed: 11/17/2022] Open
Abstract
(1) Background: As elements of the standard admission blood panel, lactate and glucose represent potential biomarkers for outcome prediction. In patients with intracranial hemorrhage (ICH), data on the predictive value of these blood values is exceedingly sparse. (2) Methods: Between 2014 and August 2020, all patients with deep-seated ICH referred to the neurovascular center at the authors' institution were included in the subsequent study. Serum levels of lactate and glucose at the time of admission were compared with mortality at 90 days. In addition, a multivariate analysis was performed in order to identify independent admission predictors for 90-day mortality. (3) Results: Among the 102 patients with deep-seated ICH, elevated lactate and glucose levels on admission were significantly associated with increased mortality at 90 days. Multivariate logistic regression analysis identified "ICH score ≥3" (p = 0.004) along with "admission hyperlactatemia" (p = 0.025) and "admission hyperglycemia" (p = 0.029) as independent and significant predictors of 90-day mortality in patients with deep-seated ICH. (4) Conclusions: Initially elevated lactate and glucose levels after spontaneous intracerebral hemorrhage are associated with poor outcome, suggesting a potential application for future prognostic models when considered in conjunction with other parameters.
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40
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Lu P, Cui L, Wang Y, Kang K, Gu H, Li Z, Liu L, Wang Y, Zhao X. Relationship Between Glycosylated Hemoglobin and Short-Term Mortality of Spontaneous Intracerebral Hemorrhage. Front Neurol 2021; 12:648907. [PMID: 33935947 PMCID: PMC8085396 DOI: 10.3389/fneur.2021.648907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 03/15/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The relationship between glycosylated hemoglobin (HbA1c) and prognosis of spontaneous intracerebral hemorrhage (SICH) patients has not been fully elucidated. This study aimed to reveal the relationship between HbA1c levels and short-term mortality after patient admission with SICH. Methods: It was a large-scale, multicenter, cross-sectional study. From August 1, 2015, to July 31, 2019, a total of 41910 SICH patients were included in the study from the Chinese Stroke Center Alliance (CSCA) program. Finally, we comprehensively analyzed the data from 21,116 patients with SICH. HbA1c was categorized into four groups by quartile. Univariate and multivariate logistic regression analyses were used to assess the association between HbA1c levels and short-term mortality in SICH patients. Results: The average age of the 21,116 patients was 62.8 ± 13.2 years; 13,052 (61.8%) of them were male, and 507 (2.4%) of them died. Compared to the higher three quartiles of HbA1c, the lowest quartile (≤5.10%) had higher short-term mortality. In subgroup analysis with or without diabetes mellitus (DM) patients, the mortality of the Q3 group at 5.60-6.10% was significantly lower than that of the Q1 group at ≤5.10%. After adjustment for potential influencing factors, the ROC curve of HbA1c can better predict the short-term mortality of patients with SICH (AUC = 0.6286 P < 0.001). Conclusions: Therefore, we concluded that low or extremely low HbA1c levels (≤5.10%) after stroke were associated with higher short-term mortality in SICH patients, with or without DM.
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Affiliation(s)
- Ping Lu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lingyun Cui
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yu Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Kaijiang Kang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongqiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
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Svedung Wettervik TM, Lewén A, Enblad P. Fine Tuning of Traumatic Brain Injury Management in Neurointensive Care-Indicative Observations and Future Perspectives. Front Neurol 2021; 12:638132. [PMID: 33716941 PMCID: PMC7943830 DOI: 10.3389/fneur.2021.638132] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 01/20/2021] [Indexed: 01/01/2023] Open
Abstract
Neurointensive care (NIC) has contributed to great improvements in clinical outcomes for patients with severe traumatic brain injury (TBI) by preventing, detecting, and treating secondary insults and thereby reducing secondary brain injury. Traditional NIC management has mainly focused on generally applicable escalated treatment protocols to avoid high intracranial pressure (ICP) and to keep the cerebral perfusion pressure (CPP) at sufficiently high levels. However, TBI is a very heterogeneous disease regarding the type of injury, age, comorbidity, secondary injury mechanisms, etc. In recent years, the introduction of multimodality monitoring, including, e.g., pressure autoregulation, brain tissue oxygenation, and cerebral energy metabolism, in addition to ICP and CPP, has increased the understanding of the complex pathophysiology and the physiological effects of treatments in this condition. In this article, we will present some potential future approaches for more individualized patient management and fine-tuning of NIC, taking advantage of multimodal monitoring to further improve outcome after severe TBI.
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Affiliation(s)
| | - Anders Lewén
- Department of Neuroscience, Section of Neurosurgery, Uppsala University, Uppsala, Sweden
| | - Per Enblad
- Department of Neuroscience, Section of Neurosurgery, Uppsala University, Uppsala, Sweden
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Guilfoyle MR, Helmy A, Donnelly J, Stovell MG, Timofeev I, Pickard JD, Czosnyka M, Smielewski P, Menon DK, Carpenter KLH, Hutchinson PJ. Characterising the dynamics of cerebral metabolic dysfunction following traumatic brain injury: A microdialysis study in 619 patients. PLoS One 2021; 16:e0260291. [PMID: 34914701 PMCID: PMC8675704 DOI: 10.1371/journal.pone.0260291] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 11/05/2021] [Indexed: 11/29/2022] Open
Abstract
Traumatic brain injury (TBI) is a major cause of death and disability, particularly amongst young people. Current intensive care management of TBI patients is targeted at maintaining normal brain physiology and preventing secondary injury. Microdialysis is an invasive monitor that permits real-time assessment of derangements in cerebral metabolism and responses to treatment. We examined the prognostic value of microdialysis parameters, and the inter-relationships with other neuromonitoring modalities to identify interventions that improve metabolism. This was an analysis of prospective data in 619 adult TBI patients requiring intensive care treatment and invasive neuromonitoring at a tertiary UK neurosciences unit. Patients had continuous measurement of intracranial pressure (ICP), arterial blood pressure (ABP), brain tissue oxygenation (PbtO2), and cerebral metabolism and were managed according to a standardized therapeutic protocol. Microdialysate was assayed hourly for metabolites including glucose, pyruvate, and lactate. Cerebral perfusion pressure (CPP) and cerebral autoregulation (PRx) were derived from the ICP and ABP. Outcome was assessed with the Glasgow Outcome Score (GOS) at 6 months. Relationships between monitoring variables was examined with generalized additive mixed models (GAMM). Lactate/Pyruvate Ratio (LPR) over the first 3 to 7 days following injury was elevated amongst patients with poor outcome and was an independent predictor of ordinal GOS (p<0.05). Significant non-linear associations were observed between LPR and cerebral glucose, CPP, and PRx (p<0.001 to p<0.05). GAMM models suggested improved cerebral metabolism (i.e. reduced LPR with CPP >70mmHg, PRx <0.1, PbtO2 >18mmHg, and brain glucose >1mM. Deranged cerebral metabolism is an important determinant of patient outcome following TBI. Variations in cerebral perfusion, oxygenation and glucose supply are associated with changes in cerebral LPR and suggest therapeutic interventions to improve cerebral metabolism. Future prospective studies are required to determine the efficacy of these strategies.
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Affiliation(s)
- Mathew R. Guilfoyle
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
| | - Adel Helmy
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Joseph Donnelly
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Matthew G. Stovell
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Ivan Timofeev
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - John D. Pickard
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Marek Czosnyka
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Peter Smielewski
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - David K. Menon
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Keri L. H. Carpenter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Peter J. Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
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Spencer P, Jiang Y, Liu N, Han J, Li Y, Vodovoz S, Dumont AS, Wang X. Update: Microdialysis for Monitoring Cerebral Metabolic Dysfunction after Subarachnoid Hemorrhage. J Clin Med 2020; 10:jcm10010100. [PMID: 33396652 PMCID: PMC7794715 DOI: 10.3390/jcm10010100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/25/2020] [Accepted: 12/25/2020] [Indexed: 01/07/2023] Open
Abstract
Cerebral metabolic dysfunction has been shown to extensively mediate the pathophysiology of brain injury after subarachnoid hemorrhage (SAH). The characterization of the alterations of metabolites in the brain can help elucidate pathophysiological changes occurring throughout SAH and the relationship between secondary brain injury and cerebral energy dysfunction after SAH. Cerebral microdialysis (CMD) is a tool that can measure concentrations of multiple bioenergetics metabolites in brain interstitial fluid. This review aims to provide an update on the implication of CMD on the measurement of metabolic dysfunction in the brain after SAH. A literature review was conducted through a general PubMed search with the terms “Subarachnoid Hemorrhage AND Microdialysis” as well as a more targeted search using MeSh with the search terms “Subarachnoid hemorrhage AND Microdialysis AND Metabolism.” Both experimental and clinical papers were reviewed. CMD is a suitable tool that has been used for monitoring cerebral metabolic changes in various types of brain injury. Clinically, CMD data have shown the dramatic changes in cerebral metabolism after SAH, including glucose depletion, enhanced glycolysis, and suppressed oxidative phosphorylation. Experimental studies using CMD have demonstrated a similar pattern of cerebral metabolic dysfunction after SAH. The combination of CMD and other monitoring tools has also shown value in further dissecting and distinguishing alterations in different metabolic pathways after brain injury. Despite the lack of a standard procedure as well as the presence of limitations regarding CMD application and data interpretation for both clinical and experimental studies, emerging investigations have suggested that CMD is an effective way to monitor the changes of cerebral metabolic dysfunction after SAH in real-time, and alternatively, the combination of CMD and other monitoring tools might be able to further understand the relationship between cerebral metabolic dysfunction and brain injury after SAH, determine the severity of brain injury and predict the pathological progression and outcomes after SAH. More translational preclinical investigations and clinical validation may help to optimize CMD as a powerful tool in critical care and personalized medicine for patients with SAH.
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Affiliation(s)
| | - Yinghua Jiang
- Correspondence: (Y.J.); (X.W.); Tel.: +504-988-9117 (Y.J.); +504-988-2646 (X.W.)
| | | | | | | | | | | | - Xiaoying Wang
- Correspondence: (Y.J.); (X.W.); Tel.: +504-988-9117 (Y.J.); +504-988-2646 (X.W.)
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Armahizer MJ, Howard AK, Seung H, Kalasapudi L, Sansur C, Morris NA. Risk Factors for Hypoglycemia with the Use of Enteral Glyburide in Neurocritical Care Patients. World Neurosurg 2020; 147:e63-e68. [PMID: 33253952 DOI: 10.1016/j.wneu.2020.11.107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/18/2020] [Accepted: 11/19/2020] [Indexed: 10/22/2022]
Abstract
OBJECTIVE Intravenous glyburide has demonstrated safety when used for attenuation of cerebral edema, although safety data are lacking for enteral glyburide when used for this indication. We aimed to determine the prevalence of and risk factors for hypoglycemia in neurocritical care patients receiving enteral glyburide. METHODS We performed a retrospective case-control chart review (hypoglycemia vs. no hypoglycemia) of adult patients who received enteral glyburide for prevention or treatment of cerebral or spinal cord edema. Hypoglycemia was defined as a blood glucose <55.8 mg/dL. Descriptive statistics were used, with multivariate analysis to measure the association of risk factors and outcomes. Logistic regression was applied to outcomes with an exposure. Potential confounders were evaluated using the t-test or the Wilcoxon rank-sum test for continuous variables, and the χ2 test or the Fisher exact test for categorical variables. RESULTS Seventy-one patients (60.6% men, median age 60 years) were included. The majority received 2.5 mg of enteral glyburide twice daily. Diagnoses included tumors (35.2%), intracerebral hemorrhage (28.2%), postspinal surgery (12.7%), and ischemic stroke (12.7%). Hypoglycemia occurred in 17 (23.9%) patients. Multivariate analysis identified admission serum creatinine (odds ratio, 27.2; [1.661, 445.3]; P < 0.05) as a risk factor for hypoglycemia, whereas body mass index >30 (odds ratio, 0.085; [0.008, 0.921]; P < 0.05) was protective. CONCLUSIONS Hypoglycemic episodes are common following enteral glyburide in neurocritical care patients. Both patients with and without diabetes mellitus are at risk of hypoglycemia. Elevated admission serum creatinine may increase the risk of hypoglycemia when utilizing glyburide for prevention or treatment of cerebral or spinal cord edema.
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Affiliation(s)
- Michael J Armahizer
- Department of Pharmacy, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Amy Kruger Howard
- Department of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, Maryland, USA
| | - Hyunuk Seung
- Department of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, Maryland, USA
| | - Lakshman Kalasapudi
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Charles Sansur
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Nicholas A Morris
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
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STING-Mediated Autophagy Is Protective against H 2O 2-Induced Cell Death. Int J Mol Sci 2020; 21:ijms21197059. [PMID: 32992769 PMCID: PMC7582849 DOI: 10.3390/ijms21197059] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 09/19/2020] [Accepted: 09/21/2020] [Indexed: 12/11/2022] Open
Abstract
Stimulator of interferon genes (STING)-mediated type-I interferon signaling is a well characterized instigator of the innate immune response following bacterial or viral infections in the periphery. Emerging evidence has recently linked STING to various neuropathological conditions, however, both protective and deleterious effects of the pathway have been reported. Elevated oxidative stress, such as neuroinflammation, is a feature of a number of neuropathologies, therefore, this study investigated the role of the STING pathway in cell death induced by elevated oxidative stress. Here, we report that the H2O2-induced activation of the STING pathway is protective against cell death in wildtype (WT) MEFSV40 cells as compared to STING−/− MEF SV40 cells. This protective effect of STING can be attributed, in part, to an increase in autophagy flux with an increased LC3II/I ratio identified in H2O2-treated WT cells as compared to STING−/− cells. STING−/− cells also exhibited impaired autophagic flux as indicated by p62, LC3-II and LAMP2 accumulation following H2O2 treatment, suggestive of an impairment at the autophagosome-lysosomal fusion step. This indicates a previously unrecognized role for STING in maintaining efficient autophagy flux and protecting against H2O2-induced cell death. This finding supports a multifaceted role for the STING pathway in the underlying cellular mechanisms contributing to the pathogenesis of neurological disorders.
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Shaughness M, Acs D, Brabazon F, Hockenbury N, Byrnes KR. Role of Insulin in Neurotrauma and Neurodegeneration: A Review. Front Neurosci 2020; 14:547175. [PMID: 33100956 PMCID: PMC7546823 DOI: 10.3389/fnins.2020.547175] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 08/13/2020] [Indexed: 12/15/2022] Open
Abstract
Insulin is a hormone typically associated with pancreatic release and blood sugar regulation. The brain was long thought to be “insulin-independent,” but research has shown that insulin receptors (IR) are expressed on neurons, microglia and astrocytes, among other cells. The effects of insulin on cells within the central nervous system are varied, and can include both metabolic and non-metabolic functions. Emerging data suggests that insulin can improve neuronal survival or recovery after trauma or during neurodegenerative diseases. Further, data suggests a strong anti-inflammatory component of insulin, which may also play a role in both neurotrauma and neurodegeneration. As a result, administration of exogenous insulin, either via systemic or intranasal routes, is an increasing area of focus in research in neurotrauma and neurodegenerative disorders. This review will explore the literature to date on the role of insulin in neurotrauma and neurodegeneration, with a focus on traumatic brain injury (TBI), spinal cord injury (SCI), Alzheimer’s disease (AD) and Parkinson’s disease (PD).
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Affiliation(s)
- Michael Shaughness
- Neuroscience Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Deanna Acs
- Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Fiona Brabazon
- Neuroscience Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Nicole Hockenbury
- Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Kimberly R Byrnes
- Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
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Fontaine C, Lemiale V, Resche-Rigon M, Schenck M, Chelly J, Geeraerts T, Hamdi A, Guitton C, Meziani F, Lefrant JY, Megarbane B, Mentec H, Chaffaut C, Cariou A, Legriel S. Association of systemic secondary brain insults and outcome in patients with convulsive status epilepticus: A post hoc study of a randomized controlled trial. Neurology 2020; 95:e2529-e2541. [PMID: 32913029 DOI: 10.1212/wnl.0000000000010726] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 06/04/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate the association between systemic factors (mean arterial blood pressure, arterial partial pressures of carbon dioxide and oxygen, body temperature, natremia, and glycemia) on day 1 and neurologic outcomes 90 days after convulsive status epilepticus. METHODS This was a post hoc analysis of the Evaluation of Therapeutic Hypothermia in Convulsive Status Epilepticus in Adults in Intensive Care (HYBERNATUS) multicenter open-label controlled trial, which randomized 270 critically ill patients with convulsive status epilepticus requiring mechanical ventilation to therapeutic hypothermia (32°C-34°C for 24 hours) plus standard care or standard care alone between March 2011 and January 2015. The primary endpoint was a Glasgow Outcome Scale score of 5, defining a favorable outcome, 90 days after convulsive status epilepticus. RESULTS The 172 men and 93 women had a median age of 57 years (45-68 years). Among them, 130 (49%) had a history of epilepsy, and 59 (29%) had a primary brain insult. Convulsive status epilepticus was refractory in 86 (32%) patients, and total seizure duration was 67 minutes (35-120 minutes). The 90-day outcome was unfavorable in 126 (48%) patients. In multivariate analysis, none of the systemic secondary brain insults were associated with outcome; achieving an unfavorable outcome was associated with age >65 years (odds ratio [OR] 2.17, 95% confidence interval [CI] 1.20-3.85; p = 0.01), refractory convulsive status epilepticus (OR 2.00, 95% CI 1.04-3.85; p = 0.04), primary brain insult (OR 2.00, 95% CI 1.02-4.00; p = 0.047), and no bystander-witnessed seizure onset (OR 2.49, 95% CI 1.05-5.59; p = 0.04). CONCLUSIONS In our population, systemic secondary brain insults were not associated with outcome in critically ill patients with convulsive status epilepticus. CLINICALTRIALSGOV IDENTIFIER NCT01359332.
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Affiliation(s)
- Candice Fontaine
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Virginie Lemiale
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Matthieu Resche-Rigon
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Maleka Schenck
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Jonathan Chelly
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Thomas Geeraerts
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Aicha Hamdi
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Christophe Guitton
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Ferhat Meziani
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Jean-Yves Lefrant
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Bruno Megarbane
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Hervé Mentec
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Cendrine Chaffaut
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Alain Cariou
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
| | - Stephane Legriel
- From the Medical-Surgical Intensive Care Unit (C.F.), Hopital Paris Saint Joseph, Paris; IctalGroup (C.F., J.C., S.L.), Le Chesnay; Medical Intensive Care Unit (V.L.) and SBIM Biostatistics and Medical Information (M.R.-R., C.C.), Saint Louis University Hospital; Université Paris Diderot (M.R.-R., C.C.); ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en Santé) (M.R.-R.), UMR 1153 INSERM, Université Paris Diderot, Sorbonne Paris Cité; Medical Intensive Care Unit (M.S.), Hôpital de Hautepierre, and Medical Intensive Care Unit (F.M.), Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg; Medical-Surgical Intensive Care Unit (J.C.), Centre Hospitalier de Melun; Anesthesiology and Critical Care Department (T.G.), Toulouse University Hospital, University Toulouse 3 Paul Sabatier; Medical-Surgical Intensive Care Unit (A.H.), Centre Hospitalier de Montreuil; Medical-Surgical Intensive Care Unit (C.G.), Centre Hospitalier du Mans, Le Mans; EA 7293 (F.M.), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg; Intensive Care Units (J.-Y.L.), Division of Anaesthesia, Intensive Care, Pain and Emergency Medicine, University Hospital of Nîmes; Medical Intensive Care Unit (B.M.), Lariboisiere University Hospital, APHP, Paris; Medical-Surgical Intensive Care Unit (H.M.), Centre Hospitalier Victor Dupouy, Argenteuil; Medical Intensive Care Unit (A.C.), Cochin University Hospital, Hopitaux Universitaires-Paris Centre, AP-HP; Paris Descartes University (A.C.), Sorbonne Paris Cité-Medical School; INSERM U970 (A.C.), Paris Cardiovascular Research Center; Intensive Care Department (S.L.), Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay; and Université Paris-Saclay (S.L.), UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France.
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Seo H. Perioperative anesthetic management of patients with diabetes mellitus: focused on blood glucose control. JOURNAL OF THE KOREAN MEDICAL ASSOCIATION 2020. [DOI: 10.5124/jkma.2020.63.9.526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Diabetes mellitus is the most common metabolic disease characterized by elevated blood glucose, which results in damage to the heart, blood vessels, eyes, kidney, and nervous system. The incidence of diabetes mellitus has increased in Korea due to longer life expectancy or lifestyle improvement. Since diabetes affects multiple organs including the cardiovascular, neuroendocrine, and autonomic nervous systems, the risk of postoperative complications such as wound infection and cardiovascular events might be increased in patients with diabetes. In addition to postoperative complications, hypoglycemia or hyperglycemia in diabetes may also cause serious problems during surgery. Preoperative fasting and surgical stress may contribute to the derangement of the patient’s physiological status. For appropriate management of diabetic patients in the perioperative period, patients should be evaluated in detail preoperatively and their blood glucose levels should be checked repeatedly during the surgery and even after surgery. The present paper reviews preoperative, intraoperative, and postoperative management of patients with diabetes.
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Tageldeen MK, Gowers SAN, Leong CL, Boutelle MG, Drakakis EM. Traumatic brain injury neuroelectrochemical monitoring: behind-the-ear micro-instrument and cloud application. J Neuroeng Rehabil 2020; 17:114. [PMID: 32825829 PMCID: PMC7441655 DOI: 10.1186/s12984-020-00742-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 08/04/2020] [Indexed: 01/15/2023] Open
Abstract
Background Traumatic Brain Injury (TBI) is a leading cause of fatality and disability worldwide, partly due to the occurrence of secondary injury and late interventions. Correct diagnosis and timely monitoring ensure effective medical intervention aimed at improving clinical outcome. However, due to the limitations in size and cost of current ambulatory bioinstruments, they cannot be used to monitor patients who may still be at risk of secondary injury outside the ICU. Methods We propose a complete system consisting of a wearable wireless bioinstrument and a cloud-based application for real-time TBI monitoring. The bioinstrument can simultaneously record up to ten channels including both ECoG biopotential and neurochemicals (e.g. potassium, glucose and lactate), and supports various electrochemical methods including potentiometry, amperometry and cyclic voltammetry. All channels support variable gain programming to automatically tune the input dynamic range and address biosensors’ falling sensitivity. The instrument is flexible and can be folded to occupy a small space behind the ear. A Bluetooth Low-Energy (BLE) receiver is used to wirelessly connect the instrument to a cloud application where the recorded data is stored, processed and visualised in real-time. Bench testing has been used to validate device performance. Results The instrument successfully monitored spreading depolarisations (SDs) - reproduced using a signal generator - with an SNR of 29.07 dB and NF of 0.26 dB. The potentiostat generates a wide voltage range from -1.65V to +1.65V with a resolution of 0.8mV and the sensitivity of the amperometric AFE was verified by recording 5 pA currents. Different potassium, glucose and lactate concentrations prepared in lab were accurately measured and their respective working curves were constructed. Finally,the instrument achieved a maximum sampling rate of 1.25 ksps/channel with a throughput of 105 kbps. All measurements were successfully received at the cloud. Conclusion The proposed instrument uniquely positions itself by presenting an aggressive optimisation of size and cost while maintaining high measurement accuracy. The system can effectively extend neuroelectrochemical monitoring to all TBI patients including those who are mobile and those who are outside the ICU. Finally, data recorded in the cloud application could be used to help diagnosis and guide rehabilitation.
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Affiliation(s)
- Momen K Tageldeen
- Bioinspired VLSI Circuits and Systems Group, Department of Bioengineering, Imperial College London, Exhibition Road, London, SW7 2AZ, UK
| | - Sally A N Gowers
- Biomedical Sensors Group, Department of Bioengineering, Imperial College London, Exhibition Road, London, SW7 2AZ, UK
| | - Chi L Leong
- Biomedical Sensors Group, Department of Bioengineering, Imperial College London, Exhibition Road, London, SW7 2AZ, UK
| | - Martyn G Boutelle
- Biomedical Sensors Group, Department of Bioengineering, Imperial College London, Exhibition Road, London, SW7 2AZ, UK
| | - Emmanuel M Drakakis
- Bioinspired VLSI Circuits and Systems Group, Department of Bioengineering, Imperial College London, Exhibition Road, London, SW7 2AZ, UK.
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Abstract
Spontaneous nontraumatic intracerebral hemorrhage is associated with high morbidity and mortality. Given the risk of rapid neurological deterioration, early identification with rapid neuroimaging is vital. Predictors of outcome, such as spot sign and intracerebral hemorrhage score, can help guide management goals. Management should be aimed at prevention of hematoma expansion, treatment of increased intracranial pressure, and prevention of secondary brain injury and medical complications.
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