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1
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Grancini V, Cogliati I, Gaglio A, Alfieri C, Castellano G, Orsi E, Resi V. Automated insulin delivery systems for the management of insulin therapy in post-transplant diabetes mellitus: a case series from a single center population. Acta Diabetol 2025; 62:579-584. [PMID: 39611868 DOI: 10.1007/s00592-024-02419-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 11/12/2024] [Indexed: 11/30/2024]
Affiliation(s)
- Valeria Grancini
- Endocrinology Unit, Fondazione IRCCS Ca' Granda- Ospedale Maggiore Policlinico Milano, Via Francesco Sforza 35, 20122, Milan, Italy.
| | - Irene Cogliati
- Endocrinology Unit, Fondazione IRCCS Ca' Granda- Ospedale Maggiore Policlinico Milano, Via Francesco Sforza 35, 20122, Milan, Italy
| | - Alessia Gaglio
- Endocrinology Unit, Fondazione IRCCS Ca' Granda- Ospedale Maggiore Policlinico Milano, Via Francesco Sforza 35, 20122, Milan, Italy
| | - Carlo Alfieri
- Nephrology, Dialysis and Transplantation, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122, Milan, Italy
| | - Giuseppe Castellano
- Nephrology, Dialysis and Transplantation, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122, Milan, Italy
| | - Emanuela Orsi
- Endocrinology Unit, Fondazione IRCCS Ca' Granda- Ospedale Maggiore Policlinico Milano, Via Francesco Sforza 35, 20122, Milan, Italy
| | - Veronica Resi
- Endocrinology Unit, Fondazione IRCCS Ca' Granda- Ospedale Maggiore Policlinico Milano, Via Francesco Sforza 35, 20122, Milan, Italy
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2
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Krylova O, Marchenko S, Ermolaeva A, Shustikova N, Dyakonova K. Individualized selection of recent glucose monitoring devices for self-management based on competitive features. Pak J Med Sci 2024; 40:1853-1859. [PMID: 39281234 PMCID: PMC11395364 DOI: 10.12669/pjms.40.8.9855] [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: 03/17/2024] [Revised: 05/29/2024] [Accepted: 06/16/2024] [Indexed: 09/18/2024] Open
Abstract
Objective Goal of the study was to systematically review competitive advantages of medical devices for glucose monitoring in diabetic patients. Method The review is done systematically according to SALSA criteria and PRISMA guidelines. The search for eligible articles was held from February 16th 2023 to March 1st 2023 in Russian and English languages. The results were synthesized narratively, tabularly, and visually. The search was conducted in the following databases of scientific literature: PubMed, IEEE Xplore, Google Scholar, CyberLeninka, and eLibrary. Results Twenty-two out of fifty-two manuscripts met the inclusion criteria. The most promising and advantageous characteristics of the evaluated devices, as identified by researchers, include the following: the capability for noninvasive examination; features that facilitate use by patients with fine motor, hearing, and visual impairments; add-ons and software designed to improve patient compliance, including in pediatric populations; and device attributes that enhance the speed and accuracy of analysis while being free of iatrogenic effects. Conclusions With increasing prevalence of diabetes, glycemic control is crucial for preventing complications. The market offers numerous glucose monitoring devices (GMDs) with varying features, making selection challenging. Our study systematically categorized the strengths of each GMD model for diabetic patients, aiding informed device selection.
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Affiliation(s)
- Olga Krylova
- Olga Krylova Associate Professor, Department of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Sevara Marchenko
- Sevara Marchenko Associate Professor, Department of Organization and Management in the Field of Medicines Circulation, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Alexandra Ermolaeva
- Alexandra Ermolaeva Associate Professor, Department of Clinical, Pharmacology and Propaedeutics of Internal Diseases, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Natalia Shustikova
- Natalia Shustikova, PhD of Medical Sciences Associate Professor, Deputy Dean for Educational and Organizational Work, Moscow University for Industry and Finance Synergy, Moscow, Russia
| | - Kristina Dyakonova
- Kristina Dyakonova Researcher, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
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3
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Thibault R, Bear DE, Fischer A, Montejo-González JC, Hiesmayr M, Tamási P, Uyar M, de Waele E, Weber-Carstens S, Singer P. Implementation of the ESPEN guideline on clinical nutrition in the intensive care unit (ICU): It is time to move forward!: A position paper from the 'nutrition in the ICU' ESPEN special interest group. Clin Nutr ESPEN 2023; 57:318-330. [PMID: 37739675 DOI: 10.1016/j.clnesp.2023.06.033] [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] [Received: 04/21/2023] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 09/24/2023]
Abstract
Nutritional assessment and provision of nutritional therapy are a core part of intensive care unit (ICU) patient treatment. The ESPEN guideline on clinical nutrition in the ICU was published in 2019. However, uncertainty and difficulties remain regarding its full implementation in daily practice. This position paper is intended to help ICU healthcare professionals facilitate the implementation of ESPEN nutrition guidelines to ensure the best care for their patients. We have aimed to emphasize the guideline recommendations that need to be implemented in the ICU, are advised, or are optional, and to give practical directives to improve the guideline recommendations in daily practice. These statements were written by the members of the ICU nutrition ESPEN special interest group (SIG), based on a survey aimed at identifying current practices relating to key issues in ICU nutrition. The ultimate goal is to improve the ICU patients quality of care.
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Affiliation(s)
- Ronan Thibault
- Department of Endocrinology-Diabetology-Nutrition, Home Parenteral Nutrition Centre, CHU Rennes, INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Rennes, France.
| | - Danielle E Bear
- Department of Nutrition and Dietetics, Department of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Arabella Fischer
- Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Division of Cardiothoracic and Vascular Anaesthesia and Intensive Care Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | | | - Michael Hiesmayr
- Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Division of Cardiothoracic and Vascular Anaesthesia and Intensive Care Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | | | - Mehmet Uyar
- Department of Anesthesiology and Intensive Care, Ege University Hospital, Bornova, Izmir, Turkey
| | - Elisabeth de Waele
- Department of Clinical Nutrition, Universitair Ziekenhuis Brussel, Belgium; Department of Intensive Care, Universitair Ziekenhuis Brussel, Belgium; Vrije Universiteit Brussel, Brussels, Belgium
| | - Steffen Weber-Carstens
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Operative Intensive Care Medicine, Berlin, Germany
| | - Pierre Singer
- Department of General Intensive Care and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
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4
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Albert SG, Shrestha E, Wood EM. Euglycemic diabetic ketoacidosis: The paradox of delayed correction of acidosis. Diabetes Metab Syndr 2023; 17:102848. [PMID: 37651890 DOI: 10.1016/j.dsx.2023.102848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 09/02/2023]
Abstract
OBJECTIVE The effectiveness of standard treatment for diabetic ketoacidosis (DKA) in "euglycemic DKA" (EuDKA, blood glucose (BG) ≤ 250 mg/dL) was evaluated with respect to the time to correction of BG ≤ 200 mg/dL, anion gap (AG)≤12 mmol/L, and serum bicarbonate [HCO3] ≥18 mmol/L. METHODS Data were retrieved from an electronic health record (EPIC) for "diabetic ketoacidosis." Patients were categorized by initial BG as EuDKA, middle range DKA (MrDKA, >250 < 600 mg/dL) and hyperosmolar DKA (HyperDKA ≥600 mg/dL). RESULTS There were 56 patients (27men, 29women; age 45.8 ± 15.6 (SD) years. The initial 8-h insulin infusion rate (0.05 ± 0.02, 0.09 ± 0.03, 0.14 ± 0.05units/kg/h, p < 0.001) and the time to correction of BG (3.4 ± 1.9, 6.1 ± 2.9 and 9.6 ± 3.9 h, p < 0.001), differed for EuDKA, MrDKA and HyperDKA. There were no differences in the time to correction of AG or [HCO3]. The earlier time to correction of BG in EuDKA resulted in paradoxical longer lag times for correction of [HCO3] (p = 0.003) and AG (p = 0.048). Changes in BG, AG and [HCO3] correlated with insulin infusion rates of 0.08-0.1units/kg/h whereas in EuDKA the insulin infusion rate was 0.05 ± 0.02 units/kg/h. CONCLUSION In EuDKA, correlation analyses suggest that higher glucose and insulin infusion rates than what would be projected for the level of blood glucose are required to reverse ketoacidosis. Prospective trials are required to optimize the levels of glucose and insulin infusions in EuDKA.
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Affiliation(s)
- Stewart G Albert
- Department of Internal Medicine, Division of Endocrinology, Saint Louis University School of Medicine, United States.
| | - Ekta Shrestha
- Department of Internal Medicine, Division of Endocrinology, Saint Louis University School of Medicine, United States
| | - Emily M Wood
- Department of Internal Medicine, Division of Endocrinology, Saint Louis University School of Medicine, United States
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5
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Bellido V, Aguilera E, Cardona-Hernandez R, Diaz-Soto G, González Pérez de Villar N, Picón-César MJ, Ampudia-Blasco FJ. Expert Recommendations for Using Time-in-Range and Other Continuous Glucose Monitoring Metrics to Achieve Patient-Centered Glycemic Control in People With Diabetes. J Diabetes Sci Technol 2023; 17:1326-1336. [PMID: 35470692 PMCID: PMC10563535 DOI: 10.1177/19322968221088601] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
New metrics for assessing glycemic control beyond HbA1c have recently emerged due to the increasing use of continuous glucose monitoring (CGM) in diabetes clinical practice. Among them, time in range (TIR) has appeared as a simple and intuitive metric that correlates inversely with HbA1c and has also been newly linked to the risk of long-term diabetes complications. The International Consensus on Time in Range established a series of target glucose ranges (TIR, time below range and time above range) and recommendations for time spent within these ranges for different diabetes populations. These parameters should be evaluated together with the ambulatory glucose profile (AGP). Using standardized visual reporting may help people with diabetes and healthcare professionals in the evaluation of glucose control in frequent clinical situations. The objective of the present review is to provide practical insights to quick interpretation of patient-centered metrics based on flash glucose monitoring data, as well as showing some visual examples of common clinical situations and giving practical recommendations for their management.
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Affiliation(s)
- Virginia Bellido
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Eva Aguilera
- Endocrinology and Nutrition Department, Health Sciences Research Institute and University, Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Gonzalo Diaz-Soto
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Universidad de Valladolid, Valladolid, Spain
| | | | - María J. Picón-César
- Endocrinology and Nutrition Department, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco Javier Ampudia-Blasco
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
- INCLIVA Research Foundation, Valencia, Spain
- CIBERDEM, Madrid, Spain
- Universitat de Valencia, Valencia, Spain
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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: 10] [Impact Index Per Article: 5.0] [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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7
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Martinez HM, Elwood K, Werth C, Sarangarm P. Evaluation of Computer-Based Insulin Infusion Algorithm Compared With a Paper-Based Protocol in the Treatment of Diabetic Ketoacidosis. J Pharm Technol 2023; 39:82-87. [PMID: 37051279 PMCID: PMC10084413 DOI: 10.1177/87551225231160050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
Abstract
Background: Development of computer-based software, termed electronic glucose management system (eGMS), offers an alternative strategy to manage diabetic ketoacidosis (DKA) compared with institution-specific paper protocols by integrating glucose and insulin titration into the electronic medical record. Objective: To evaluate the safety and efficacy of eGMS versus a paper-based DKA protocol in an urban academic medical center. Methods: Single-center, retrospective analysis of patients admitted for DKA. The primary objective of this study was the time to transition from intravenous to subcutaneous insulin after resolution of DKA pre- and post-eGMS implementation. Secondary outcomes included incidence of hypoglycemia while on an insulin infusion, intensive care unit (ICU) length of stay, and total hospital length of stay. Results: Time to DKA resolution was similar in both groups with a median time of 8.6 versus 8.8 hours in the paper-based (n = 133) and eGMS groups (n = 84), respectively ( P = 0.43). Hypoglycemia occurred more frequently in the paper-based group compared with eGMS during insulin infusion (14 vs 3 patients, P = 0.06). The median ICU (36.5 vs 41.4 hours; P = 0.05) and hospital length of stay (67.9 vs 77.8 hours; P = 0.05) were shorter in the paper-based group compared with the eGMS group. Conclusion and Relevance: Similar rates of DKA resolution were seen for patients managed with a paper-based protocol compared with eGMS. Patients in the paper-based protocol had a shorter ICU and hospital length of stay; however, eGMS had improved clinically relevant safety outcomes.
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Affiliation(s)
- Heather M. Martinez
- Department of Pharmacy, University of
New Mexico Hospital, Albuquerque, NM, USA
- Heather M. Martinez, Department of
Pharmacy, University of New Mexico Hospital, 2211 Lomas Boulevard Northeast,
Albuquerque, NM 87106, USA.
| | - Kirsten Elwood
- Department of Pharmacy, University of
New Mexico Hospital, Albuquerque, NM, USA
| | - Chris Werth
- Department of Pharmacy, University of
New Mexico Hospital, Albuquerque, NM, USA
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Rigon FA, Ronsoni MF, Vianna AGD, de Lucca Schiavon L, Hohl A, van de Sande-Lee S. Flash glucose monitoring system in special situations. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2022; 66:883-894. [PMID: 35657123 PMCID: PMC10118756 DOI: 10.20945/2359-3997000000479] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 02/04/2022] [Indexed: 02/08/2023]
Abstract
The management of diabetes mellitus (DM) requires maintaining glycemic control, and patients must keep their blood glucose levels close to the normal range to reduce the risk of microvascular complications and cardiovascular events. While glycated hemoglobin (A1C) is currently the primary measure for glucose management and a key marker for long-term complications, it does not provide information on acute glycemic excursions and overall glycemic variability. These limitations may even be higher in some special situations, thereby compromising A1C accuracy, especially when wider glycemic variability is expected and/or when the glycemic goal is more stringent. To attain adequate glycemic control, continuous glucose monitoring (CGM) is more useful than self-monitoring of blood glucose (SMBG), as it is more convenient and provides a greater amount of data. Flash Glucose Monitoring (isCGM /FGM) is a widely accepted option of CGM for measuring interstitial glucose levels in individuals with DM. However, its application under special conditions, such as pregnancy, patients on hemodialysis, patients with cirrhosis, during hospitalization in the intensive care unit and during physical exercise has not yet been fully validated. This review addresses some of these specific situations in which hypoglycemia should be avoided, or in pregnancy, where strict glycemic control is essential, and the application of isCGM/FGM could alleviate the shortcomings associated with poor glucose control or high glycemic variability, thereby contributing to high-quality care.
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Affiliation(s)
- Fernanda Augustini Rigon
- Programa de Pós-graduação em Ciências Médicas, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil,
| | - Marcelo Fernando Ronsoni
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
| | - André Gustavo Daher Vianna
- Centro de Diabetes de Curitiba, Departamento de Doenças Endócrinas, Hospital Nossa Senhora das Graças, Curitiba, PR, Brasil
| | | | - Alexandre Hohl
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
| | - Simone van de Sande-Lee
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
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Mantena S, Arévalo AR, Maley JH, da Silva Vieira SM, Mateo-Collado R, da Costa Sousa JM, Celi LA. Predicting hypoglycemia in critically Ill patients using machine learning and electronic health records. J Clin Monit Comput 2022; 36:1297-1303. [PMID: 34606005 PMCID: PMC9152921 DOI: 10.1007/s10877-021-00760-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 09/23/2021] [Indexed: 11/29/2022]
Abstract
Hypoglycemia is a common occurrence in critically ill patients and is associated with significant mortality and morbidity. We developed a machine learning model to predict hypoglycemia by using a multicenter intensive care unit (ICU) electronic health record dataset. Machine learning algorithms were trained and tested on patient data from the publicly available eICU Collaborative Research Database. Forty-four features including patient demographics, laboratory test results, medications, and vitals sign recordings were considered. The outcome of interest was the occurrence of a hypoglycemic event (blood glucose < 72 mg/dL) during a patient's ICU stay. Machine learning models used data prior to the second hour of the ICU stay to predict hypoglycemic outcome. Data from 61,575 patients who underwent 82,479 admissions at 199 hospitals were considered in the study. The best-performing predictive model was the eXtreme gradient boosting model (XGBoost), which achieved an area under the received operating curve (AUROC) of 0.85, a sensitivity of 0.76, and a specificity of 0.76. The machine learning model developed has strong discrimination and calibration for the prediction of hypoglycemia in ICU patients. Prospective trials of these models are required to evaluate their clinical utility in averting hypoglycemia within critically ill patient populations.
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Affiliation(s)
| | | | - Jason H Maley
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | | | | | - Leo Anthony Celi
- Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Massachusetts Institute of Technology, Cambridge, MA, USA.
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- , 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
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10
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Aljihmani L, Kerdjidj O, Petrovski G, Erraguntla M, Sasangohar F, Mehta RK, Qaraqe K. Hand tremor-based hypoglycemia detection and prediction in adolescents with type 1 diabetes. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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11
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Update on glucose control during and after critical illness. Curr Opin Crit Care 2022; 28:389-394. [DOI: 10.1097/mcc.0000000000000962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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See KC. Glycemic targets in critically ill adults: A mini-review. World J Diabetes 2021; 12:1719-1730. [PMID: 34754373 PMCID: PMC8554370 DOI: 10.4239/wjd.v12.i10.1719] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 06/06/2021] [Accepted: 09/03/2021] [Indexed: 02/06/2023] Open
Abstract
Illness-induced hyperglycemia impairs neutrophil function, increases pro-inflammatory cytokines, inhibits fibrinolysis, and promotes cellular damage. In turn, these mechanisms lead to pneumonia and surgical site infections, prolonged mechanical ventilation, prolonged hospitalization, and increased mortality. For optimal glucose control, blood glucose measurements need to be done accurately, frequently, and promptly. When choosing glycemic targets, one should keep the glycemic variability < 4 mmol/L and avoid targeting a lower limit of blood glucose < 4.4 mmol/L. The upper limit of blood glucose should be set according to casemix and the quality of glucose control. A lower glycemic target range (i.e., blood glucose 4.5-7.8 mmol/L) would be favored for patients without diabetes mellitus, with traumatic brain injury, or who are at risk of surgical site infection. To avoid harm from hypoglycemia, strict adherence to glycemic control protocols and timely glucose measurements are required. In contrast, a higher glycemic target range (i.e., blood glucose 7.8-10 mmol/L) would be favored as a default choice for medical-surgical patients and patients with diabetes mellitus. These targets may be modified if technical advances for blood glucose measurement and control can be achieved.
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Affiliation(s)
- Kay Choong See
- Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore 119228, Singapore
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13
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Costantini E, Carlin M, Porta M, Brizzi MF. Type 2 diabetes mellitus and sepsis: state of the art, certainties and missing evidence. Acta Diabetol 2021; 58:1139-1151. [PMID: 33973089 PMCID: PMC8316173 DOI: 10.1007/s00592-021-01728-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 04/22/2021] [Indexed: 12/12/2022]
Abstract
Diabetes and sepsis are important causes of morbidity and mortality worldwide, and diabetic patients represent the largest population experiencing post-sepsis complications and rising mortality. Dysregulated immune pathways commonly found in both sepsis and diabetes contribute to worsen the host response in diabetic patients with sepsis. The impact of diabetes on mortality from sepsis is still controversial. Whereas a substantial proportion of severe infections can be attributed to poor glycemic control, treatment with insulin, metformin and thiazolidinediones may be associated with lower incidence and mortality for sepsis. It has been suggested that chronic exposure to high glucose might enhance immune adaptation, leading to reduced mortality rate in septic diabetic patients. On the other hand, higher risk of acute kidney injury has been extensively documented and a suggested lower risk of acute respiratory distress syndrome has been recently questioned. Additional investigations are ongoing to confirm the protective role of some anti-diabetic treatments, the occurrence of acute organ dysfunction, and the risk/benefit of less stringent glycemic control in diabetic patients experiencing sepsis. Based on a MEDLINE/PubMed search from inception to December 31, 2020, the aim of this review is therefore to summarize the strengths and weaknesses of current knowledge on the interplay between diabetes and sepsis.
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Affiliation(s)
- Elisa Costantini
- Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy
- Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza, Turin, Italy
| | - Massimiliano Carlin
- Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy
- Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza, Turin, Italy
| | - Massimo Porta
- Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy
- Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza, Turin, Italy
| | - Maria Felice Brizzi
- Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy.
- Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza, Turin, Italy.
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14
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van den Boorn M, Lagerburg V, van Steen SCJ, Wedzinga R, Bosman RJ, van der Voort PHJ. The development of a glucose prediction model in critically ill patients. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021; 206:106105. [PMID: 33979752 DOI: 10.1016/j.cmpb.2021.106105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 04/05/2021] [Indexed: 06/12/2023]
Abstract
PURPOSE The aim of the current study is to develop a prediction model for glucose levels applicable for all patients admitted to the ICU with an expected ICU stay of at least 24 h. This model will be incorporated in a closed-loop glucose system to continuously and automatically control glucose values. METHODS Data from a previous single-center randomized controlled study was used. All patients received a FreeStyle Navigator II subcutaneous CGM system from Abbott during their ICU stay. The total dataset was randomly divided into a training set and a validation set. A glucose prediction model was developed based on historical glucose data. Accuracy of the prediction model was determined using the Mean Squared Difference (MSD), the Mean Absolute Difference (MAD) and a Clarke Error Grid (CEG). RESULTS The dataset included 94 ICU patients with a total of 134,673 glucose measurements points that were used for modelling. MSD was 0.410 ± 0.495 for the model, the MAD was 5.19 ± 2.63 and in the CEG 99.8% of the data points were in the clinically acceptable regions. CONCLUSION In this study a glucose prediction model for ICU patients is developed. This study shows that it is possible to accurately predict a patient's glucose 30 min ahead based on historical glucose data. This is the first step in the development of a closed-loop glucose system.
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Affiliation(s)
- M van den Boorn
- OLVG, Department of Intensive Care, Oosterpark 9, 1091 AC Amsterdam, The Netherlands.
| | - V Lagerburg
- OLVG, Medical Physics, Oosterpark 9, 1091 AC Amsterdam, The Netherlands
| | - S C J van Steen
- OLVG, Department of Intensive Care, Oosterpark 9, 1091 AC Amsterdam, The Netherlands; Amsterdam UMC, University of Amsterdam, Department of Endocrinology, Meibergdreef 9, Amsterdam, Netherlands
| | - R Wedzinga
- OLVG, Department of Intensive Care, Oosterpark 9, 1091 AC Amsterdam, The Netherlands; OLVG, Medical Physics, Oosterpark 9, 1091 AC Amsterdam, The Netherlands
| | - R J Bosman
- OLVG, Department of Intensive Care, Oosterpark 9, 1091 AC Amsterdam, The Netherlands
| | - P H J van der Voort
- University of Groningen, University Medical Center Groningen, Department of Intensive Care, Hanzeplein 2, 9713GZ Groningen, The Netherlands
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15
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Dutton JS, Hinman SS, Kim R, Attayek PJ, Maurer M, Sims CS, Allbritton NL. Hyperglycemia minimally alters primary self-renewing human colonic epithelial cells while TNFα-promotes severe intestinal epithelial dysfunction. Integr Biol (Camb) 2021; 13:139-152. [PMID: 33989405 PMCID: PMC8204630 DOI: 10.1093/intbio/zyab008] [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: 12/10/2020] [Revised: 03/06/2021] [Accepted: 04/16/2021] [Indexed: 11/15/2022]
Abstract
Hyperglycemia is thought to increase production of inflammatory cytokines and permeability of the large intestine. Resulting intestinal inflammation is then often characterized by excess secretion of tumor necrosis factor alpha (TNFα). Thus, hyperglycemia in hospitalized patients suffering from severe trauma or disease is frequently accompanied by TNFα secretion, and the combined impact of these insults on the intestinal epithelium is poorly understood. This study utilized a simple yet elegant model of the intestinal epithelium, comprised of primary human intestinal stem cells and their differentiated progeny, to investigate the impact of hyperglycemia and inflammatory factors on the colonic epithelium. When compared to epithelium cultured under conditions of physiologic glucose, cells under hyperglycemic conditions displayed decreased mucin-2 (MUC2), as well as diminished alkaline phosphatase (ALP) activity. Conditions of 60 mM glucose potentiated secretion of the cytokine IL-8 suggesting that cytokine secretion during hyperglycemia may be a source of tissue inflammation. TNFα measurably increased secretion of IL-8 and IL-1β, which was enhanced at 60 mM glucose. Surprisingly, intestinal permeability and paracellular transport were not altered by even extreme levels of hyperglycemia. The presence of TNFα increased MUC2 presence, decreased ALP activity, and negatively impacted monolayer barrier function. When TNFα hyperglycemia and ≤30 mM glucose and were combined, MUC2 and ALP activity remained similar to that of TNFα alone, although synergistic effects were seen at 60 mM glucose. An automated image analysis pipeline was developed to assay changes in properties of the zonula occludens-1 (ZO-1)-demarcated cell boundaries. While hyperglycemia alone had little impact on cell shape and size, cell morphologic properties were extraordinarily sensitive to soluble TNFα. These results suggest that TNFα acted as the dominant modulator of the epithelium relative to glucose, and that control of inflammation rather than glucose may be key to maintaining intestinal homeostasis.
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Affiliation(s)
- Johanna S Dutton
- Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, and North Carolina State University, Raleigh, NC, USA
| | - Samuel S Hinman
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Raehyun Kim
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Peter J Attayek
- Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, and North Carolina State University, Raleigh, NC, USA
| | - Mallory Maurer
- Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, and North Carolina State University, Raleigh, NC, USA
| | - Christopher S Sims
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Nancy L Allbritton
- Department of Bioengineering, University of Washington, Seattle, WA, USA
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16
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Zeitoun MH, Abdel-Rahim AA, Hasanin MM, El Hadidi AS, Shahin WA. A prospective randomized trial comparing computerized columnar insulin dosing chart (the Atlanta protocol) versus the joint British diabetes societies for inpatient care protocol in management of hyperglycemia in patients with acute coronary syndrome admitted to cardiac care unit in Alexandria, Egypt. Diabetes Metab Syndr 2021; 15:711-718. [PMID: 33813246 DOI: 10.1016/j.dsx.2021.03.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 03/21/2021] [Accepted: 03/23/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Hyperglycemia in acute coronary syndrome (ACS) is linked to raised morbidity and mortality. Insulin administration using insulin infusion protocols (IIP) is the preferred strategy to control hyperglycemia in critically ill patients. To date, no specific IIP has been identified as the most efficient for achieving glycemic control. AIM to compare glycemic achievements (safety) (primary objective), and coronary and other clinical outcomes (efficacy) (secondary objective) by hyperglycemia management in Cardiac Care Unit (CCU) using computerized Atlanta Protocol (Group (I)) versus paper-based Joint British Diabetes Societies (JBDS) For Inpatient Care Protocol (Group (II)). PATIENTS AND METHODS The study was done on 100 ACS patients admitted to Alexandria Main University hospital CCU with RBG >180 mg/dL. They were randomized into the 2 groups in a 1:1 ratio. CBG was measured hourly for 72 hours and was managed by IV insulin infusion. RESULTS Group (I) showed statistically significant less mean time for target BG achievement (3.52 ± 1.53hours), lower incidence of Level 1 hypoglycemia (2%) than Group (II) (4.76 ± 2.33 hours, 22%, p = 0.013, 0.002 respectively) and statistically significant less mean number of episodes above the glycemic target after its achievement than Group (II) (p < 0.001). Regarding Level 2 hypoglycemia the difference was not significant statistically. CONCLUSION Both protocols successfully maintained target BG level with low incidence of clinically significant hypoglycemia, however, the computerized Atlanta protocol achieved better glycemic outcomes. We recommend the use of the computerized Atlanta protocol in CCU rather than JBDS for Inpatient Care Protocol whenever this is feasible.
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Affiliation(s)
- Mohamed H Zeitoun
- Department of Internal Medicine, Faculty of Medicine, University of Alexandria, Egypt
| | - Ali A Abdel-Rahim
- Department of Internal Medicine, Faculty of Medicine, University of Alexandria, Egypt
| | - Mahmoud M Hasanin
- Department of Cardiology and Angiology, Faculty of Medicine, University of Alexandria, Egypt
| | - Abeer S El Hadidi
- Department of Clinical and Chemical Pathology, Faculty of Medicine, University of Alexandria, Egypt
| | - Wafaa A Shahin
- Department of Internal Medicine, Faculty of Medicine, University of Alexandria, Egypt.
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17
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Rao RH, Perreiah PL, Cunningham CA. Monitoring the Impact of Aggressive Glycemic Intervention during Critical Care after Cardiac Surgery with a Glycemic Expert System for Nurse-Implemented Euglycemia: The MAGIC GENIE Project. J Diabetes Sci Technol 2021; 15:251-264. [PMID: 33650454 PMCID: PMC8256075 DOI: 10.1177/1932296821995568] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A novel, multi-dimensional protocol named GENIE has been in use for intensive insulin therapy (IIT, target glucose <140 mg/dL) in the surgical intensive care unit (SICU) after open heart surgery (OHS) at VA Pittsburgh since 2005. Despite concerns over increased mortality from IIT after the publication of the NICE-SUGAR Trial, it remains in use, with ongoing monitoring under the MAGIC GENIE Project showing that GENIE performance over 12 years (2005-2016) aligns with the current consensus that IIT with target blood glucose (BG) <140 mg/dL is advisable only if it does not provoke severe hypoglycemia (SH). Two studies have been conducted to monitor glucometrics and outcomes during GENIE use in the SICU. One compares GENIE (n = 382) with a traditional IIT protocol (FORMULA, n = 289) during four years of contemporaneous use (2005-2008). The other compares GENIE's impact overall (n = 1404) with a cohort of patients who maintained euglycemia after OHS (euglycemic no-insulin [ENo-I], n = 111) extending across 12 years (2005-2016). GENIE performed significantly better than FORMULA during contemporaneous use, maintaining lower time-averaged glucose, provoking less frequent, severe, prolonged, or repetitive hypoglycemia, and achieving 50% lower one-year mortality, with no deaths from mediastinitis (0 of 8 cases vs 4 of 9 on FORMULA). Those benefits were sustained over the subsequent eight years of exclusive use in OHS patients, with an overall one-year mortality rate (4.2%) equivalent to the ENo-I cohort (4.5%). The results of the MAGIC GENIE Project show that GENIE can maintain tight glycemic control without provoking SH in patients undergoing OHS, and may be associated with a durable survival benefit. The results, however, await confirmation in a randomized control trial.
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Affiliation(s)
- R. Harsha Rao
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- R. Harsha Rao, MD, FRCP, Professor of
Medicine and Chief of Endocrinology, VA Pittsburgh Healthcare System, Room
7W-109 VAPHS, University Drive Division, Pittsburgh, PA 15240, USA. Emails:
;
| | - Peter L. Perreiah
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Candace A. Cunningham
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
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18
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Ceriello A, Standl E, Catrinoiu D, Itzhak B, Lalic NM, Rahelic D, Schnell O, Škrha J, Valensi P. Issues for the management of people with diabetes and COVID-19 in ICU. Cardiovasc Diabetol 2020; 19:114. [PMID: 32690029 PMCID: PMC7370631 DOI: 10.1186/s12933-020-01089-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 07/15/2020] [Indexed: 02/07/2023] Open
Abstract
In the pandemic “Corona Virus Disease 2019” (COVID-19) people with diabetes have a high risk to require ICU admission. The management of diabetes in Intensive Care Unit is always challenging, however, when diabetes is present in COVID-19 the situation seems even more complicated. An optimal glycemic control, avoiding acute hyperglycemia, hypoglycemia and glycemic variability may significantly improve the outcome. In this case, intravenous insulin infusion with continuous glucose monitoring should be the choice. No evidence suggests stopping angiotensin-converting-enzyme inhibitors, angiotensin-renin-blockers or statins, even it has been suggested that they may increase the expression of Angiotensin-Converting-Enzyme-2 (ACE2) receptor, which is used by “Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to penetrate into the cells. A real issue is the usefulness of several biomarkers, which have been suggested to be measured during the COVID-19. N-Terminal-pro-Brain Natriuretic-Peptide, D-dimer and hs-Troponin are often increased in diabetes. Their meaning in the case of diabetes and COVID-19 should be therefore very carefully evaluated. Even though we understand that in such a critical situation some of these requests are not so easy to implement, we believe that the best possible action to prevent a worse outcome is essential in any medical act.
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Affiliation(s)
- Antonio Ceriello
- IRCCS MultiMedica, Via Gaudenzio Fantoli, 16/15, 20138, Milan, Italy.
| | - Eberhard Standl
- Forschergruppe Diabetes e.V. at Munich Helmholtz Centre, Munich, Germany
| | - Doina Catrinoiu
- Clinical Center of Diabetes, Nutrition and Metabolic Diseases, Faculty of Medicine, Ovidius University of Constanta, Constanta, Romania
| | - Baruch Itzhak
- Clalit Health Services and Technion Faculty of Medicine, Haifa, Israel
| | - Nebojsa M Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Dario Rahelic
- Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Zagreb, Croatia.,University of Zagreb School of Medicine, Zagreb, Croatia.,University of Osijek School of Medicine, Osijek, Croatia
| | - Oliver Schnell
- Forschergruppe Diabetes e.V. at Munich Helmholtz Centre, Munich, Germany
| | - Jan Škrha
- Department of Internal Medicine 3, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Paul Valensi
- Unit of Endocrinology, Diabetology, Nutrition, Jean Verdier Hospital, APHP, Paris Nord University, Sorbonne Paris Cité, CINFO, CRNH-IdF, Bondy, France
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19
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Abdul Razak A, Abu-Samah A, Abdul Razak NN, Jamaludin U, Suhaimi F, Ralib A, Mat Nor MB, Pretty C, Knopp JL, Chase JG. Assessment of Glycemic Control Protocol (STAR) Through Compliance Analysis Amongst Malaysian ICU Patients. MEDICAL DEVICES-EVIDENCE AND RESEARCH 2020; 13:139-149. [PMID: 32607009 PMCID: PMC7282801 DOI: 10.2147/mder.s231856] [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: 09/20/2019] [Accepted: 01/15/2020] [Indexed: 12/15/2022] Open
Abstract
Purpose This paper presents an assessment of an automated and personalized stochastic targeted (STAR) glycemic control protocol compliance in Malaysian intensive care unit (ICU) patients to ensure an optimized usage. Patients and Methods STAR proposes 1–3 hours treatment based on individual insulin sensitivity variation and history of blood glucose, insulin, and nutrition. A total of 136 patients recorded data from STAR pilot trial in Malaysia (2017–quarter of 2019*) were used in the study to identify the gap between chosen administered insulin and nutrition intervention as recommended by STAR, and the real intervention performed. Results The results show the percentage of insulin compliance increased from 2017 to first quarter of 2019* and fluctuated in feed administrations. Overall compliance amounted to 98.8% and 97.7% for administered insulin and feed, respectively. There was higher average of 17 blood glucose measurements per day than in other centres that have been using STAR, but longer intervals were selected when recommended. Control safety and performance were similar for all periods showing no obvious correlation to compliance. Conclusion The results indicate that STAR, an automated model-based protocol is positively accepted among the Malaysian ICU clinicians to automate glycemic control and the usage can be extended to other hospitals already. Performance could be improved with several propositions.
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Affiliation(s)
| | - Asma Abu-Samah
- Department of Electrical, Electronics and Systems, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia
| | | | - Ummu Jamaludin
- Department of Mechanical Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia
| | - Fatanah Suhaimi
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | - Azrina Ralib
- Department of Anesthesiology, International Islamic University Malaysia, Kuantan, Malaysia
| | - Mohd Basri Mat Nor
- Intensive Care Unit, International Islamic University Medical Centre, Kuantan, Malaysia
| | - Christopher Pretty
- Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
| | - Jennifer Laura Knopp
- Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
| | - James Geoffrey Chase
- Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
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20
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Mader JK, Motschnig M, Theiler-Schwetz V, Eibel-Reisz K, Reisinger AC, Lackner B, Augustin T, Eller P, Mirth C. Feasibility of Blood Glucose Management Using Intra-Arterial Glucose Monitoring in Combination with an Automated Insulin Titration Algorithm in Critically Ill Patients. Diabetes Technol Ther 2019; 21:581-588. [PMID: 31335205 DOI: 10.1089/dia.2019.0082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: This two-center pilot study combined for the first time an intra-arterial glucose sensor with a decision support system for insulin dosing (SGCplus system) in critically ill patients with hyperglycemia. Methods: Twenty-two patients who were equipped with an arterial line and required iv insulin therapy were managed by the SGCplus system during their medical treatment at the intensive care unit. Results: Time to target was 111 ± 195 min (80-150 mg/dL) and 135 ± 267 min (100-160 mg/dL) in the lower and higher glucose target group. Mean blood glucose (BG) was 142 ± 32 mg/dL with seven BG values <70 mg/dL. Mean daily insulin dose was 62 ± 38 U and mean daily carbohydrate intake 148 ± 50 g/day (enteral nutrition) and 102 ± 58 g/day (parenteral nutrition). Acceptance of SGCplus suggestions was high (93%). Conclusions: The SGCplus system can be safely applied in critically ill patients with hyperglycemia and enables good glycemic control.
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Affiliation(s)
- Julia K Mader
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Melanie Motschnig
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Verena Theiler-Schwetz
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Karin Eibel-Reisz
- Department of Anesthesiology and Intensive Care Medicine, Karl Landsteiner Privatuniversität (KPU), Universitätsklinikum St. Pölten, St Pölten, Austria
| | - Alexander C Reisinger
- Intensive Care Unit, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Bettina Lackner
- Joanneum Research GmbH, HEALTH, Institute for Biomedicine and Health Sciences, Graz, Austria
| | - Thomas Augustin
- Joanneum Research GmbH, HEALTH, Institute for Biomedicine and Health Sciences, Graz, Austria
| | - Philipp Eller
- Intensive Care Unit, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Claudia Mirth
- Department of Anesthesiology and Intensive Care Medicine, Karl Landsteiner Privatuniversität (KPU), Universitätsklinikum St. Pölten, St Pölten, Austria
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21
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Rhinehart AS. A Remarkably Inaccurate Comparison of Glucose Management Technologies. J Diabetes Sci Technol 2019; 13:807-808. [PMID: 31079477 PMCID: PMC6610608 DOI: 10.1177/1932296819841074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Andrew S. Rhinehart
- Glytec, LLC, Waltham, MA, USA
- Andrew S. Rhinehart, MD, FACP, FACE, CDE,
BC-ADM, Glytec, LLC, 460 Totten Pond Rd, Waltham, MA 02451, USA.
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22
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Salinas PD, Mendez CE. Response to Letter Concerning Comparison Between Different Electronic Glucose Management Technologies. J Diabetes Sci Technol 2019; 13:805-806. [PMID: 31079478 PMCID: PMC6610589 DOI: 10.1177/1932296819841070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Pedro D. Salinas
- Aurora Critical Care Services,
University of Wisconsin School of Medicine and Public Health, Milwaukee, WI,
USA
- Pedro D. Salinas, MD, FCCP, Aurora Critical
Care Service, University of Wisconsin School of Medicine and Public Health, 2901
W Kinnickinnic River Pkwy, Ste 305, Milwaukee, WI 53215-3268, USA.
| | - Carlos E. Mendez
- Froedtert and Medical College of
Wisconsin, Division of Diabetes and Endocrinology, Zablocki Veteran Affairs Medical
Center, Milwaukee, WI, USA
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23
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Artificial Pancreas: Current Progress and Future Outlook in the Treatment of Type 1 Diabetes. Drugs 2019; 79:1089-1101. [DOI: 10.1007/s40265-019-01149-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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