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Zadek F, Berta L, Zorzi G, Ubiali S, Bonaiti A, Tundo G, Brunoni B, Marrazzo F, Giudici R, Rossi A, Rizzetto F, Bernasconi DP, Vanzulli A, Colombo PE, Fumagalli R, Torresin A, Langer T. Quantitative Computed Tomography and Response to Pronation in COVID-19 ARDS. Respir Care 2024; 69:1380-1391. [PMID: 38594036 PMCID: PMC11549634 DOI: 10.4187/respcare.11625] [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: 10/06/2023] [Accepted: 03/08/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND The use of prone position (PP) has been widespread during the COVID-19 pandemic. Whereas it has demonstrated benefits, including improved oxygenation and lung aeration, the factors influencing the response in terms of gas exchange to PP remain unclear. In particular, the association between baseline quantitative computed tomography (CT) scan results and gas exchange response to PP in invasively ventilated subjects with COVID-19 ARDS is unknown. The present study aimed to compare baseline quantitative CT results between subjects responding to PP in terms of oxygenation or CO2 clearance and those who did not. METHODS This was a single-center, retrospective observational study including critically ill, invasively ventilated subjects with COVID-19-related ARDS admitted to the ICUs of Niguarda Hospital between March 2020-November 2021. Blood gas samples were collected before and after PP. Subjects in whom the PaO2 /FIO2 increase was ≥ 20 mm Hg after PP were defined as oxygen responders. CO2 responders were defined when the ventilatory ratio (VR) decreased during PP. Automated quantitative CT analyses were performed to obtain tissue mass and density of the lungs. RESULTS One hundred twenty-five subjects were enrolled, of which 116 (93%) were O2 responders and 51 (41%) CO2 responders. No difference in quantitative CT characteristics and oxygen were observed between responders and non-responders (tissue mass 1,532 ± 396 g vs 1,654 ± 304 g, P = .28; density -544 ± 109 HU vs -562 ± 58 HU P = .42). Similar findings were observed when dividing the population according to CO2 response (tissue mass 1,551 ± 412 g vs 1,534 ± 377 g, P = .89; density -545 ± 123 HU vs -546 ± 94 HU, P = .99). CONCLUSIONS Most subjects with COVID-19-related ARDS improved their oxygenation at the first pronation cycle. The study suggests that baseline quantitative CT scan data were not associated with the response to PP in oxygenation or CO2 in mechanically ventilated subjects with COVID-19-related ARDS.
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Affiliation(s)
- Francesco Zadek
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy
| | - Luca Berta
- Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Giulia Zorzi
- Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; and Department of Physics, INFN Milan Unit, Milan, Italy
| | - Stefania Ubiali
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Amos Bonaiti
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy
| | - Giulia Tundo
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy
| | - Beatrice Brunoni
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy
| | - Francesco Marrazzo
- Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy
| | - Riccardo Giudici
- Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy
| | - Anna Rossi
- Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy
| | - Francesco Rizzetto
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Davide Paolo Bernasconi
- School of Medicine and Surgery, Bicocca Bioinformatics Biostatistics and Bioimaging Center - B4, University of Milano-Bicocca, Monza, Italy
| | - Angelo Vanzulli
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; and Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Paola Enrica Colombo
- Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Roberto Fumagalli
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy; and Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy
| | - Alberto Torresin
- Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Thomas Langer
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy; and Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda, Milan, Italy.
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Florio G, Zanella A, Slobod D, Guzzardella A, Protti I, Carlesso E, Canakoglu A, Fumagalli J, Scaravilli V, Colombo SM, Caccioppola A, Brioni M, Pesenti AM, Grasselli G. Impact of Positive End-Expiratory Pressure and FiO 2 on Lung Mechanics and Intrapulmonary Shunt in Mechanically Ventilated Patients with ARDS Due to COVID-19 Pneumonia. J Intensive Care Med 2024; 39:420-428. [PMID: 37926984 DOI: 10.1177/08850666231210485] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Purpose: This study aimed to investigate the effects of inspired oxygen fraction (FiO2) and positive end-expiratory pressure (PEEP) on gas exchange in mechanically ventilated patients with COVID-19. Methods: Two FiO2 (100%, 40%) were tested at 3 decreasing levels of PEEP (15, 10, and 5 cmH2O). At each FiO2 and PEEP, gas exchange, respiratory mechanics, hemodynamics, and the distribution of ventilation and perfusion were assessed with electrical impedance tomography. The impact of FiO2 on the intrapulmonary shunt (delta shunt) was analyzed as the difference between the calculated shunt at FiO2 100% (shunt) and venous admixture at FiO2 40% (venous admixture). Results: Fourteen patients were studied. Decreasing PEEP from 15 to 10 cmH2O did not change shunt (24 [21-28] vs 27 [24-29]%) or venous admixture (18 [15-26] vs 23 [18-34]%) while partial pressure of arterial oxygen (FiO2 100%) was higher at PEEP 15 (262 [198-338] vs 256 [147-315] mmHg; P < .05). Instead when PEEP was decreased from 10 to 5 cmH2O, shunt increased to 36 [30-39]% (P < .05) and venous admixture increased to 33 [30-43]% (P < .05) and partial pressure of arterial oxygen (100%) decreased to 109 [76-177] mmHg (P < .05). At PEEP 15, administration of 100% FiO2 resulted in a shunt greater than venous admixture at 40% FiO2, ((24 [21-28] vs 18 [15-26]%, P = .005), delta shunt 5.5% (2.3-8.8)). Compared to PEEP 10, PEEP of 5 and 15 cmH2O resulted in decreased global and pixel-level compliance. Cardiac output at FiO2 100% resulted higher at PEEP 5 (5.4 [4.4-6.5]) compared to PEEP 10 (4.8 [4.1-5.5], P < .05) and PEEP 15 cmH2O (4.7 [4.5-5.4], P < .05). Conclusion: In this study, PEEP of 15 cmH2O, despite resulting in the highest oxygenation, was associated with overdistension. PEEP of 5 cmH2O was associated with increased shunt and alveolar collapse. Administration of 100% FiO2 was associated with an increase in intrapulmonary shunt in the setting of high PEEP. Trial registration: NCT05132933.
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Affiliation(s)
- Gaetano Florio
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alberto Zanella
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Douglas Slobod
- Department of Critical Care Medicine, McGill University, Montreal, Quebec, Canada
| | - Amedeo Guzzardella
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Ilaria Protti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Eleonora Carlesso
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Arif Canakoglu
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Jacopo Fumagalli
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Vittorio Scaravilli
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Sebastiano M Colombo
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alessio Caccioppola
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Matteo Brioni
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Antonio M Pesenti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giacomo Grasselli
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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Dimbath E, Middleton S, Peach MS, Ju AW, George S, de Castro Brás L, Vadati A. Physics-based in silico modelling of microvascular pulmonary perfusion in COVID-19. Proc Inst Mech Eng H 2024; 238:562-574. [PMID: 38563211 DOI: 10.1177/09544119241241550] [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] [Indexed: 04/04/2024]
Abstract
Due to its ability to induce heterogenous, patient-specific damage in pulmonary alveoli and capillaries, COVID-19 poses challenges in defining a uniform profile to elucidate infection across all patients. Computational models that integrate changes in ventilation and perfusion with heterogeneous damage profiles offer valuable insights into the impact of COVID-19 on pulmonary health. This study aims to develop an in silico hypothesis-testing platform specifically focused on studying microvascular pulmonary perfusion in COVID-19-infected lungs. Through this platform, we explore the effects of various acinar-level pulmonary perfusion abnormalities on global lung function. Our modelling approach simulates changes in pulmonary perfusion and the resulting mismatch of ventilation and perfusion in COVID-19-afflicted lungs. Using this coupled modelling platform, we conducted multiple simulations to assess different scenarios of perfusion abnormalities in COVID-19-infected lungs. The simulation results showed an overall decrease in ventilation-perfusion (V/Q) ratio with inclusion of various types of perfusion abnormalities such as hypoperfusion with and without microangiopathy. This model serves as a foundation for comprehending and comparing the spectrum of findings associated with COVID-19 in the lung, paving the way for patient-specific modelling of microscale lung damage in emerging pulmonary pathologies like COVID-19.
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Affiliation(s)
- Elizabeth Dimbath
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Shea Middleton
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Matthew Sean Peach
- Department of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Andrew W Ju
- Department of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Stephanie George
- Department of Engineering, College of Engineering and Technology, East Carolina University, Greenville, NC, USA
| | - Lisandra de Castro Brás
- Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Alex Vadati
- Department of Engineering, College of Engineering and Technology, East Carolina University, Greenville, NC, USA
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Torregiani C, Baratella E, Segalotti A, Ruaro B, Salton F, Confalonieri P, Tavano S, Lapadula G, Bozzi C, Confalonieri M, Dellaca’ RL, Veneroni C. Oscillometry Longitudinal Data on COVID-19 Acute Respiratory Syndrome Treated with Non-Invasive Respiratory Support. J Clin Med 2024; 13:1868. [PMID: 38610633 PMCID: PMC11012861 DOI: 10.3390/jcm13071868] [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: 01/04/2024] [Revised: 03/02/2024] [Accepted: 03/16/2024] [Indexed: 04/14/2024] Open
Abstract
Background: Oscillometry allows for the non-invasive measurements of lung mechanics. In COVID-19 ARDS patients treated with Non-Invasive Oxygen Support (NI-OS), we aimed to (1) observe lung mechanics at the patients' admission and their subsequent changes, (2) compare lung mechanics with clinical and imaging data, and (3) evaluate whether lung mechanics helps to predict clinical outcomes. Methods: We retrospectively analyzed the data from 37 consecutive patients with moderate-severe COVID-19 ARDS. Oscillometry was performed on their 1st, 4th, and 7th day of hospitalization. Resistance (R5), reactance (X5), within-breath reactance changes (ΔX5), and the frequency dependence of the resistance (R5-R19) were considered. Twenty-seven patients underwent computed tomographic pulmonary angiography (CTPA): collapsed, poorly aerated, and normally inflated areas were quantified. Adverse outcomes were defined as intubation or death. Results: Thirty-two patients were included in this study. At the first measurement, only 44% of them had an abnormal R5 or X5. In total, 23 patients had measurements performed on their 3rd day and 7 on their 7th day of hospitalization. In general, their R5, R5-R19, and ΔX decreased with time, while their X5 increased. Collapsed areas on the CTPA correlated with the X5 z-score (ρ = -0.38; p = 0.046), while poorly aerated areas did not. Seven patients had adverse outcomes but did not present different oscillometry parameters on their 1st day of hospitalization. Conclusions: Our study confirms the feasibility of oscillometry in critically ill patients with COVID-19 pneumonia undergoing NI-OS. The X5 z-scores indicates collapsed but not poorly aerated lung areas in COVID-19 pneumonia. Our data, which show a severe impairment of gas exchange despite normal reactance in most patients with COVID-19 ARDS, support the hypothesis of a composite COVID-19 ARDS physiopathology.
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Affiliation(s)
- Chiara Torregiani
- Pulmonology Unit, Department of Medical Surgical and Health Sciences, University of Trieste, Hospital of Cattinara, 34149 Trieste, Italy
| | - Elisa Baratella
- Radiology Unit, Department of Medical Surgical and Health Sciences, University Hospital of Cattinara, 34149 Trieste, Italy
| | - Antonio Segalotti
- Radiology Unit, Department of Medical Surgical and Health Sciences, University Hospital of Cattinara, 34149 Trieste, Italy
| | - Barbara Ruaro
- Pulmonology Unit, Department of Medical Surgical and Health Sciences, University of Trieste, Hospital of Cattinara, 34149 Trieste, Italy
| | - Francesco Salton
- Pulmonology Unit, Department of Medical Surgical and Health Sciences, University of Trieste, Hospital of Cattinara, 34149 Trieste, Italy
| | - Paola Confalonieri
- Pulmonology Unit, Department of Medical Surgical and Health Sciences, University of Trieste, Hospital of Cattinara, 34149 Trieste, Italy
| | - Stefano Tavano
- Pulmonology Unit, Department of Medical Surgical and Health Sciences, University of Trieste, Hospital of Cattinara, 34149 Trieste, Italy
| | - Giulia Lapadula
- Pulmonology Unit, Department of Medical Surgical and Health Sciences, University of Trieste, Hospital of Cattinara, 34149 Trieste, Italy
| | - Chiara Bozzi
- Pulmonology Unit, Department of Medical Surgical and Health Sciences, University of Trieste, Hospital of Cattinara, 34149 Trieste, Italy
| | - Marco Confalonieri
- Pulmonology Unit, Department of Medical Surgical and Health Sciences, University of Trieste, Hospital of Cattinara, 34149 Trieste, Italy
| | - Raffaele L. Dellaca’
- Department of Electronics, Information and Biomedical Engineering (DEIB), TechRes Lab, Politecnico di Milano University, 20122 Milano, Italy; (R.L.D.); (C.V.)
| | - Chiara Veneroni
- Department of Electronics, Information and Biomedical Engineering (DEIB), TechRes Lab, Politecnico di Milano University, 20122 Milano, Italy; (R.L.D.); (C.V.)
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Busana M, Rau A, Lazzari S, Gattarello S, Cressoni M, Biggemann L, Harnisch LO, Giosa L, Vogt A, Saager L, Lotz J, Meller B, Meissner K, Gattinoni L, Moerer O. Causes of Hypoxemia in COVID-19 Acute Respiratory Distress Syndrome: A Combined Multiple Inert Gas Elimination Technique and Dual-energy Computed Tomography Study. Anesthesiology 2024; 140:251-260. [PMID: 37656772 DOI: 10.1097/aln.0000000000004757] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
BACKGROUND Despite the fervent scientific effort, a state-of-the art assessment of the different causes of hypoxemia (shunt, ventilation-perfusion mismatch, and diffusion limitation) in COVID-19 acute respiratory distress syndrome (ARDS) is currently lacking. In this study, the authors hypothesized a multifactorial genesis of hypoxemia and aimed to measure the relative contribution of each of the different mechanism and their relationship with the distribution of tissue and blood within the lung. METHODS In this cross-sectional study, the authors prospectively enrolled 10 patients with COVID-19 ARDS who had been intubated for less than 7 days. The multiple inert gas elimination technique (MIGET) and a dual-energy computed tomography (DECT) were performed and quantitatively analyzed for both tissue and blood volume. Variables related to the respiratory mechanics and invasive hemodynamics (PiCCO [Getinge, Sweden]) were also recorded. RESULTS The sample (51 ± 15 yr; Pao2/Fio2, 172 ± 86 mmHg) had a mortality of 50%. The MIGET showed a shunt of 25 ± 16% and a dead space of 53 ± 11%. Ventilation and perfusion were mismatched (LogSD, Q, 0.86 ± 0.33). Unexpectedly, evidence of diffusion limitation or postpulmonary shunting was also found. In the well aerated regions, the blood volume was in excess compared to the tissue, while the opposite happened in the atelectasis. Shunt was proportional to the blood volume of the atelectasis (R2 = 0.70, P = 0.003). V˙A/Q˙T mismatch was correlated with the blood volume of the poorly aerated tissue (R2 = 0.54, P = 0.016). The overperfusion coefficient was related to Pao2/Fio2 (R2 = 0.66, P = 0.002), excess tissue mass (R2 = 0.84, P < 0.001), and Etco2/Paco2 (R2 = 0.63, P = 0.004). CONCLUSIONS These data support the hypothesis of a highly multifactorial genesis of hypoxemia. Moreover, recent evidence from post-mortem studies (i.e., opening of intrapulmonary bronchopulmonary anastomosis) may explain the findings regarding the postpulmonary shunting. The hyperperfusion might be related to the disease severity. EDITOR’S PERSPECTIVE
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Affiliation(s)
- Mattia Busana
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Anna Rau
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Stefano Lazzari
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany; and Institute for Treatment and Research San Raffaele Scientific Institute, Department of Anesthesia and Intensive Care, Milan, Italy
| | - Simone Gattarello
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany; and Institute for Treatment and Research San Raffaele Scientific Institute, Department of Anesthesia and Intensive Care, Milan, Italy
| | - Massimo Cressoni
- Unit of Radiology, Institute for Treatment and Research Policlinico San Donato, Milan, Italy
| | - Lorenz Biggemann
- Institute for Diagnostic and Interventional Radiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Lars-Olav Harnisch
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Lorenzo Giosa
- Centre for Human and Applied Physiological Sciences, King's College London, London, United Kingdom
| | - Andreas Vogt
- Department of Anaesthesiology and Pain Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Leif Saager
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany; and Outcomes Research Consortium, Cleveland, Ohio
| | - Joachim Lotz
- Institute for Diagnostic and Interventional Radiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Birgit Meller
- Clinic of Nuclear Medicine, University Medical Center of Göttingen, Göttingen, Germany
| | - Konrad Meissner
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Luciano Gattinoni
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Onnen Moerer
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany
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Dembinski R. [ARDS Diagnostics and Treatment after the Coronavirus Pandemic - Everything as it was?]. Anasthesiol Intensivmed Notfallmed Schmerzther 2024; 59:24-33. [PMID: 38190823 DOI: 10.1055/a-2043-8628] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
ARDS is a syndrome that can develop as a result of various underlying diseases. For a long time, the prevailing belief was that the course of the disease was comparable regardless of the underlying disease. However, even before the COVID-19 pandemic, it was suspected that there were different manifestations that could be treated more individually and thus reduce the high mortality rate of ARDS, which has remained unchanged for years. The various findings on the heterogeneity of the course of the disease in COVID-related ARDS appear to confirm these assumptions. It is therefore to be expected that the diagnosis and treatment of non-COVID-related ARDS will also have to be individualised according to such phenotypes in the future. However, as long as the effectiveness of such strategies has not been proven in clinical trials, the current recommendations for ARDS therapy will remain valid for the time being. However, the adjustments already formulated in this context to individual pathophysiological conditions with regard to respiratory mechanics, ventilation-perfusion distribution and possible cardiac dysfunction should be made more meticulously than has usually been the case to date.
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Wang JC, Peng Y, Dai B, Hou HJ, Zhao HW, Wang W, Tan W. Comparison between high-flow nasal cannula and conventional oxygen therapy in COVID-19 patients: a systematic review and meta-analysis. Ther Adv Respir Dis 2024; 18:17534666231225323. [PMID: 38230522 PMCID: PMC10798115 DOI: 10.1177/17534666231225323] [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: 02/02/2023] [Accepted: 12/20/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND High-flow nasal cannula (HFNC) and conventional oxygen therapy (COT) are important respiratory support strategies for acute hypoxemic respiratory failure (AHRF) in coronavirus disease 2019 (COVID-19) patients. However, the results are conflicting for the risk of intubation with HFNC as compared to COT. OBJECTIVES We systematically synthesized the outcomes of HFNC relative to COT in COVID-19 patients with AHRF and evaluated these outcomes in relevant subpopulations. DESIGN This study was designed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA SOURCES AND METHODS We searched PubMed, EMBASE, Web of Science, Scopus, ClinicalTrials.gov, medRxiv, BioRxiv, and the Cochrane Central Register of Controlled Trials for randomized controlled trials and observational studies that compared the efficacy of HFNC with COT in patients with COVID-19-related AHRF. Primary outcomes were intubation rate and mortality rate. Secondary outcomes were the ratio of arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO2), respiratory rate, hospital length of stay, intensive care unit (ICU) length of stay, and days free from invasive mechanical ventilation. RESULTS In total, 20 studies with 5732 patients were included. We found a decreased risk of requiring intubation in HFNC compared to COT [odds ratio (OR) = 0.61, 95% confidence interval (CI): 0.46-0.82, p = 0.0009, I2 = 75%]. Similarly, we found HFNC was associated with lower risk of intubation rate compared to COT in the subgroup of patients with baseline PaO2/FiO2 < 200 mmHg (OR = 0.69, 95% CI: 0.55-0.86, p = 0.0007, I2 = 45%), and who were in ICU settings at enrollment (OR = 0.57, 95% CI: 0.38-0.85, p = 0.005, I2 = 80%). HFNC was associated with an improvement of PaO2/FiO2 and respiratory rate compared to COT. The use of HFNC compared to COT did not reduce the mortality rate, days free from invasive mechanical ventilation, hospital length of stay, or ICU length of stay. CONCLUSION Compared to COT, HFNC may decrease the need for tracheal intubation in patients with COVID-19-related AHRF, particularly among patients with baseline PaO2/FiO2 < 200 mmHg and those in ICU settings. TRIAL REGISTRATION This systematic review and meta-analysis protocol was prospectively registered with PROSPERO (no. CRD42022339072).
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Affiliation(s)
- Jian-chao Wang
- Department of Neurosurgery, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, China
| | - Yun Peng
- Department of Intensive Care Medicine, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, China
| | - Bing Dai
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of China Medical University, Heping District, Shenyang, China
| | - Hai-jia Hou
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of China Medical University, Heping District, Shenyang, China
| | - Hong-wen Zhao
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of China Medical University, Heping District, Shenyang, China
| | - Wei Wang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of China Medical University, Heping District, Shenyang, China
| | - Wei Tan
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, No. 155, Nanjing North Street, Heping District, Shenyang 110001, China
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Morgan TJ, Scott PH, Langley AN, Barrett RDC, Anstey CM. Single-FiO 2 lung modelling with machine learning: a computer simulation incorporating volumetric capnography. J Clin Monit Comput 2023; 37:1303-1311. [PMID: 37004663 PMCID: PMC10066977 DOI: 10.1007/s10877-023-00996-5] [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: 11/18/2022] [Accepted: 03/14/2023] [Indexed: 04/04/2023]
Abstract
We investigated whether machine learning (ML) analysis of ICU monitoring data incorporating volumetric capnography measurements of mean alveolar PCO2 can partition venous admixture (VenAd) into its shunt and low V/Q components without manipulating the inspired oxygen fraction (FiO2). From a 21-compartment ventilation / perfusion (V/Q) model of pulmonary blood flow we generated blood gas and mean alveolar PCO2 data in simulated scenarios with shunt values from 7.3% to 36.5% and a range of FiO2 settings, indirect calorimetry and cardiac output measurements and acid- base and hemoglobin oxygen affinity conditions. A 'deep learning' ML application, trained and validated solely on single FiO2 bedside monitoring data from 14,736 scenarios, then recovered shunt values in 500 test scenarios with true shunt values 'held back'. ML shunt estimates versus true values (n = 500) produced a linear regression model with slope = 0.987, intercept = -0.001 and R2 = 0.999. Kernel density estimate and error plots confirmed close agreement. With corresponding VenAd values calculated from the same bedside data, low V/Q flow can be reported as VenAd-shunt. ML analysis of blood gas, indirect calorimetry, volumetric capnography and cardiac output measurements can quantify pulmonary oxygenation deficits as percentage shunt flow (V/Q = 0) versus percentage low V/Q flow (V/Q > 0). High fidelity reports are possible from analysis of data collected solely at the operating FiO2.
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Affiliation(s)
- Thomas J Morgan
- Mater Research and University of Queensland, Stanley Street, South Brisbane, Brisbane, QLD, 4101, Australia.
| | - Peter H Scott
- Intensive Care Department, Mater Health Services, Stanley Street, South Brisbane, Brisbane, QLD, 4101, Australia
- University of Queensland, Brisbane, QLD, 4072, Australia
| | - Adrian N Langley
- Intensive Care Department, Mater Health Services, Stanley Street, South Brisbane, Brisbane, QLD, 4101, Australia
- University of Queensland, Brisbane, QLD, 4072, Australia
| | | | - Christopher M Anstey
- University of Queensland, Brisbane, QLD, 4072, Australia
- Griffith University, Gold Coast, QLD, 4215, Australia
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9
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Coskun A, Demirci B, Turkdogan KA. Association of carbon monoxide poisonings and carboxyhemoglobin levels with COVID-19 and clinical severity. World J Methodol 2023; 13:248-258. [PMID: 37771862 PMCID: PMC10523238 DOI: 10.5662/wjm.v13.i4.248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/08/2023] [Accepted: 07/25/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19), which recently spread throughout the entire world, is still a significant health issue. Additionally, the most common cause of risky poisoning in emergency services is carbon monoxide (CO) poisoning. Both disorders seem to merit more research as they have an impact on all bodily systems via the lungs. AIM To determine how arterial blood gas and carboxyhemoglobin (COHb) levels affect the clinical and prognostic results of individuals requiring emergency treatment who have both COVID-19 and CO poisoning. METHODS Between January 2018 and December 2021, 479 CO-poisoning patients participated in this single-center, retrospective study. Patients were primarily divided into two groups for analysis: Pre-pandemic and pandemic periods. Additionally, the pandemic era was divided into categories based on the presence of COVID-19 and, if present, the clinical severity of the infection. The hospital information system was used to extract patient demographic, clinical, arterial blood gas, COVID-19 polymerase chain reaction, and other laboratory data. RESULTS The mean age of the 479 patients was 54.93 ± 11.51 years, and 187 (39%) were female. 226 (47%) patients were in the pandemic group and 143 (30%) of them had a history of COVID-19. While the mean potential of hydrogen (pH) in arterial blood gas of all patients was 7.28 ± 0.15, it was 7.35 ± 0.10 in the pre-pandemic group and 7.05 ± 0.16 in the severe group during the pandemic period (P < 0.001). COHb was 23.98 ± 4.19% in the outpatients and 45.26% ± 3.19% in the mortality group (P < 0.001). Partial arterial oxygen pressure (PaO2) was 89.63 ± 7.62 mmHg in the pre-pandemic group, and 79.50 ± 7.18 mmHg in the severe group during the pandemic period (P < 0.001). Despite the fact that mortality occurred in 35 (7%) of all cases, pandemic cases accounted for 30 of these deaths (85.7%) (P <0.001). The association between COHb, troponin, lactate, partial arterial pressure of carbon dioxide, HCO3, calcium, glucose, age, pH, PaO2, potassium, sodium, and base excess levels in the pre-pandemic and pandemic groups was statistically significant in univariate linear analysis. CONCLUSION Air exchange barrier disruption caused by COVID-19 may have pulmonary consequences. In patients with a history of pandemic COVID-19, clinical results and survival are considerably unfavorable in cases of CO poisoning.
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Affiliation(s)
- Abuzer Coskun
- Emergency Medicine Clinic, Istanbul Bagcilar Training and Research Hospital, Istanbul 34200, Turkey
| | - Burak Demirci
- Emergency Medicine Clinic, Istanbul Bagcilar Training and Research Hospital, Istanbul 34200, Turkey
| | - Kenan Ahmet Turkdogan
- Emergency Medicine Department, Istanbul Çam and Sakura City Hospital, Istanbul 34494, Turkey
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10
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Gaulton TG, Martin K, Xin Y, Victor M, Ribeiro De Santis Santiago R, Britto Passos Amato M, Berra L, Cereda M. Regional lung perfusion using different indicators in electrical impedance tomography. J Appl Physiol (1985) 2023; 135:500-507. [PMID: 37439236 PMCID: PMC10538981 DOI: 10.1152/japplphysiol.00130.2023] [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: 02/28/2023] [Revised: 06/19/2023] [Accepted: 07/06/2023] [Indexed: 07/14/2023] Open
Abstract
Management of acute respiratory distress syndrome (ARDS) is classically guided by protecting the injured lung and mitigating damage from mechanical ventilation. Yet the natural history of ARDS is also dictated by disruption in lung perfusion. Unfortunately, diagnosis and treatment are hampered by the lack of bedside perfusion monitoring. Electrical impedance tomography is a portable imaging technique that can estimate regional lung perfusion in experimental settings from the kinetic analysis of a bolus of an indicator with high conductivity. Hypertonic sodium chloride has been the standard indicator. However, hypertonic sodium chloride is often inaccessible in the hospital, limiting practical adoption. We investigated whether regional lung perfusion measured using electrical impedance tomography is comparable between indicators. Using a swine lung injury model, we determined regional lung perfusion (% of total perfusion) in five pigs, comparing 12% sodium chloride to 8.4% sodium bicarbonate across stages of lung injury and experimental conditions (body position, positive end-expiratory pressure). Regional lung perfusion for four lung regions was determined from maximum slope analysis of the indicator-based impedance signal. Estimates of regional lung perfusion between indicators were compared in the lung overall and within four lung regions. Regional lung perfusion estimated with a sodium bicarbonate indicator agreed with a hypertonic sodium chloride indicator overall (mean bias 0%, limits of agreement -8.43%, 8.43%) and within lung quadrants. The difference in regional lung perfusion between indicators did not change across experimental conditions. Sodium bicarbonate may be a comparable indicator to estimate regional lung perfusion using electrical impedance tomography.NEW & NOTEWORTHY Electrical impedance tomography is an emerging tool to measure regional lung perfusion using kinetic analysis of a conductive indicator. Hypertonic sodium chloride is the standard agent used. We measured regional lung perfusion using another indicator, comparing hypertonic sodium chloride to sodium bicarbonate in an experimental swine lung injury model. We found strong agreement between the two indicators. Sodium bicarbonate may be a comparable indicator to measure regional lung perfusion with electrical impedance tomography.
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Affiliation(s)
- Timothy G Gaulton
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Kevin Martin
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Yi Xin
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Marcus Victor
- Pulmonary Division, Heart Institute (InCor), University of São Paulo, São Paulo, Brazil
- Medical Electrical Devices Laboratory (LabMed), Electronics Engineering, Aeronautics Institute of Technology, Sao Jose dos Campos, Brazil
| | - Roberta Ribeiro De Santis Santiago
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | | | - Lorenzo Berra
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Maurizio Cereda
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania, United States
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11
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Chen W, Sá RC, Bai Y, Napel S, Gevaert O, Lauderdale DS, Giger ML. Machine learning with multimodal data for COVID-19. Heliyon 2023; 9:e17934. [PMID: 37483733 PMCID: PMC10362086 DOI: 10.1016/j.heliyon.2023.e17934] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/03/2023] [Indexed: 07/25/2023] Open
Abstract
In response to the unprecedented global healthcare crisis of the COVID-19 pandemic, the scientific community has joined forces to tackle the challenges and prepare for future pandemics. Multiple modalities of data have been investigated to understand the nature of COVID-19. In this paper, MIDRC investigators present an overview of the state-of-the-art development of multimodal machine learning for COVID-19 and model assessment considerations for future studies. We begin with a discussion of the lessons learned from radiogenomic studies for cancer diagnosis. We then summarize the multi-modality COVID-19 data investigated in the literature including symptoms and other clinical data, laboratory tests, imaging, pathology, physiology, and other omics data. Publicly available multimodal COVID-19 data provided by MIDRC and other sources are summarized. After an overview of machine learning developments using multimodal data for COVID-19, we present our perspectives on the future development of multimodal machine learning models for COVID-19.
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Affiliation(s)
- Weijie Chen
- Medical Imaging and Data Resource Center (MIDRC), USA
- Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, USA
| | - Rui C. Sá
- Medical Imaging and Data Resource Center (MIDRC), USA
- Department of Medicine, University of California, San Diego, USA
| | - Yuntong Bai
- Medical Imaging and Data Resource Center (MIDRC), USA
- Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, USA
| | - Sandy Napel
- Medical Imaging and Data Resource Center (MIDRC), USA
- Department of Radiology, Stanford University, USA
| | - Olivier Gevaert
- Medical Imaging and Data Resource Center (MIDRC), USA
- Department of Medicine and Department of Biomedical Data Science, Stanford University, USA
| | - Diane S. Lauderdale
- Medical Imaging and Data Resource Center (MIDRC), USA
- Department of Public Health Sciences, University of Chicago, USA
| | - Maryellen L. Giger
- Medical Imaging and Data Resource Center (MIDRC), USA
- Department of Radiology, University of Chicago, USA
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12
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Jonkman AH, Alcala GC, Pavlovsky B, Roca O, Spadaro S, Scaramuzzo G, Chen L, Dianti J, Sousa MLDA, Sklar MC, Piraino T, Ge H, Chen GQ, Zhou JX, Li J, Goligher EC, Costa E, Mancebo J, Mauri T, Amato M, Brochard LJ. Lung Recruitment Assessed by Electrical Impedance Tomography (RECRUIT): A Multicenter Study of COVID-19 Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med 2023; 208:25-38. [PMID: 37097986 PMCID: PMC10870845 DOI: 10.1164/rccm.202212-2300oc] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/24/2023] [Indexed: 04/26/2023] Open
Abstract
Rationale: Defining lung recruitability is needed for safe positive end-expiratory pressure (PEEP) selection in mechanically ventilated patients. However, there is no simple bedside method including both assessment of recruitability and risks of overdistension as well as personalized PEEP titration. Objectives: To describe the range of recruitability using electrical impedance tomography (EIT), effects of PEEP on recruitability, respiratory mechanics and gas exchange, and a method to select optimal EIT-based PEEP. Methods: This is the analysis of patients with coronavirus disease (COVID-19) from an ongoing multicenter prospective physiological study including patients with moderate-severe acute respiratory distress syndrome of different causes. EIT, ventilator data, hemodynamics, and arterial blood gases were obtained during PEEP titration maneuvers. EIT-based optimal PEEP was defined as the crossing point of the overdistension and collapse curves during a decremental PEEP trial. Recruitability was defined as the amount of modifiable collapse when increasing PEEP from 6 to 24 cm H2O (ΔCollapse24-6). Patients were classified as low, medium, or high recruiters on the basis of tertiles of ΔCollapse24-6. Measurements and Main Results: In 108 patients with COVID-19, recruitability varied from 0.3% to 66.9% and was unrelated to acute respiratory distress syndrome severity. Median EIT-based PEEP differed between groups: 10 versus 13.5 versus 15.5 cm H2O for low versus medium versus high recruitability (P < 0.05). This approach assigned a different PEEP level from the highest compliance approach in 81% of patients. The protocol was well tolerated; in four patients, the PEEP level did not reach 24 cm H2O because of hemodynamic instability. Conclusions: Recruitability varies widely among patients with COVID-19. EIT allows personalizing PEEP setting as a compromise between recruitability and overdistension. Clinical trial registered with www.clinicaltrials.gov (NCT04460859).
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Affiliation(s)
- Annemijn H. Jonkman
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Glasiele C. Alcala
- Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Bertrand Pavlovsky
- Department of Anesthesia, Critical Care and Emergency, Institute for Treatment and Research, Ca’ Granda Maggiore Policlinico Hospital Foundation, Milan, Italy
- University Hospital of Angers, Angers, France
| | - Oriol Roca
- Parc Taulí Hospital Universitari, Institut de Investigació i Innovació Parc Taulí, Sabadell, Spain
- Ciber Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Savino Spadaro
- Anesthesia and Intensive Care Medicine, University Hospital of Ferrara, Ferrara, Italy
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Gaetano Scaramuzzo
- Anesthesia and Intensive Care Medicine, University Hospital of Ferrara, Ferrara, Italy
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Lu Chen
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jose Dianti
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Respirology, Department of Medicine, University Health Network, Toronto, Ontario, Canada
| | - Mayson L. de A. Sousa
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Michael C. Sklar
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Thomas Piraino
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Huiqing Ge
- Department of Respiratory and Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guang-Qiang Chen
- Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jian-Xin Zhou
- Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jie Li
- Department of Cardiopulmonary Sciences, Division of Respiratory Care, Rush University, Chicago, Illinois
| | - Ewan C. Goligher
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Respirology, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Eduardo Costa
- Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Jordi Mancebo
- Servei de Medicina Intensiva Hospital de Sant Pau, Barcelona, Spain; and
| | - Tommaso Mauri
- Department of Anesthesia, Intensive Care and Emergency, Fondazione IRCCS Ca’ Granda General Hospital, Milan, Italy
| | - Marcelo Amato
- Pulmonology Division, Cardiopulmonary Department, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Laurent J. Brochard
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
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13
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Santamarina MG, Lomakin FM, Beddings I, Riscal DB, Chang Villacís J, Contreras R, Marambio JV, Labarca E, Torres J, Volpacchio M. COVID-19 pneumonia: Perfusion abnormalities shown on subtraction CT angiography in apparently well-ventilated lungs. A prospective cohort study. Heliyon 2023; 9:e18085. [PMID: 37519667 PMCID: PMC10375558 DOI: 10.1016/j.heliyon.2023.e18085] [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: 11/05/2022] [Revised: 06/18/2023] [Accepted: 07/06/2023] [Indexed: 08/01/2023] Open
Abstract
Purpose To evaluate whether a subtraction CT angiography (sCTA) perfusion score may have prognostic value in patients with COVID-19 pneumonia. Method This prospective cohort study included adult patients with RT-PCR-confirmed SARS-CoV-2 infection admitted to the ED and a sCTA performed within 24 h of admission between June and September 2020. Perfusion abnormalities (PA) in areas of apparently spared lung parenchyma on conventional CT images were assessed with sCTA perfusion score. Airspace disease extension was assessed with CT severity scores, which were then correlated with clinical outcomes (admission to ICU, requirement of IMV, and death). Inter-rater reliability (IRR) was assessed using Cohen's Kappa. Independent predictors of adverse outcomes were evaluated by multivariable logistic regression analyses using the Hosmer and Lemeshow's test. Results 191 patients were included: 112 males (58%), median age of 60.8 years (SD ± 16.0). The IRR was very high (median Kappa statistic: 0.95). No association was found between perfusion CT scores and D-dimer levels (Kendall's Tau-B coefficient = 0.08, p = 0.16) or between PaO2/FiO2 ratios and D-dimer levels (Kendall's Tau-B coefficient = -0.10, p = 0.07). Multivariate analyses adjusting for parenchymal disease extension, vascular beaded appearance, pulmonary embolism, sex, and age showed that severe PA remained a significant predictor for ICU admission (AOR: 6.25, 95% CI 2.10-18.7, p = 0.001). The overall diagnostic capacity of this model was adequate (ROC AUC: 0.83; 95% CI 0.77-0.89). Conclusions The assessment of pulmonary perfusion abnormalities in areas of apparently spared lung parenchyma on conventional CT images via sCTA perfusion scoring has prognostic value in COVID-19 pneumonia.
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Affiliation(s)
- Mario G. Santamarina
- Radiology Department, Hospital Naval Almirante Nef, Viña del Mar, Chile
- Radiology Department, Hospital Dr. Eduardo Pereira, Valparaiso, Chile
| | - Felipe Martinez Lomakin
- Intensive Care Unit, Hospital Naval Almirante Nef, Viña del Mar, Chile
- Universidad Andrés Bello, Viña del Mar, Escuela de Medicina, Facultad de Medicina Viña del Mar, Valparaiso, Chile
| | - Ignacio Beddings
- Radiology Department, Hospital Clínico San Borja Arriaran, Santiago, Chile
| | | | | | - Roberto Contreras
- Intensive Care Unit, Hospital San Martin de Quillota, Quillota, Chile
| | | | - Eduardo Labarca
- Intensive Care Unit, Hospital Naval Almirante Nef, Viña del Mar, Chile
| | - Jorge Torres
- Radiology Department, Hospital Naval Almirante Nef, Viña del Mar, Chile
| | - Mariano Volpacchio
- Radiology Department, Centro de Diagnóstico Dr. Enrique Rossi, Buenos Aires, Argentina
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14
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Swenson KE, Hardin CC. Pathophysiology of Hypoxemia in COVID-19 Lung Disease. Clin Chest Med 2023; 44:239-248. [PMID: 37085217 PMCID: PMC9682047 DOI: 10.1016/j.ccm.2022.11.007] [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] [Indexed: 11/24/2022]
Abstract
As the pandemic has progressed, our understanding of hypoxemia in coronavirus disease 2019 (COVID-19) lung disease has become more nuanced, although much remains to be understood. In this article, we review ventilation-perfusion mismatching in COVID-19 and the evidence to support various biologic theories offered in explanation. In addition, the relationship between hypoxemia and other features of severe COVID-19 lung disease such as respiratory symptoms, radiographic abnormalities, and pulmonary mechanics is explored. Recognizing and understanding hypoxemia in COVID-19 lung disease remains essential for risk stratification, prognostication, and choice of appropriate treatments in severe COVID-19.
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Affiliation(s)
- Kai E Swenson
- Division of Thoracic Surgery and Interventional Pulmonology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Bulfinch 148, 55 Fruit Street, Boston, MA 02114, USA.
| | - Charles C Hardin
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Bulfinch 148, 55 Fruit Street, Boston, MA 02114, USA
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15
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Camporota L, Sanderson B, Worrall S, Ostermann M, Barrett NA, Retter A, Busana M, Collins P, Romitti F, Hunt BJ, Rose L, Gattinoni L, Chiumello D. Relationship between D-dimers and dead-space on disease severity and mortality in COVID-19 acute respiratory distress syndrome: A retrospective observational cohort study. J Crit Care 2023; 77:154313. [PMID: 37116437 PMCID: PMC10129848 DOI: 10.1016/j.jcrc.2023.154313] [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: 10/19/2022] [Revised: 03/13/2023] [Accepted: 04/11/2023] [Indexed: 04/30/2023]
Abstract
BACKGROUND Despite its diagnostic and prognostic importance, physiologic dead space fraction is not included in the current ARDS definition or severity classification. ARDS caused by COVID-19 (C-ARDS) is characterized by increased physiologic dead space fraction and hypoxemia. Our aim was to investigate the relationship between dead space indices, markers of inflammation, immunothrombosis, severity and intensive care unit (ICU) mortality. RESULTS Retrospective data including demographics, gas exchange, ventilatory parameters, and respiratory mechanics in the first 24 h of invasive ventilation. Plasma concentrations of D-dimers and ferritin were not significantly different across C-ARDS severity categories. Weak relationships were found between D-dimers and VR (r = 0.07, p = 0.13), PETCO2/PaCO2 (r = -0.1, p = 0.02), or estimated dead space fraction (r = 0.019, p = 0.68). Age, PaO2/FiO2, pH, PETCO2/PaCO2 and ferritin, were independently associated with ICU mortality. We found no association between D-dimers or ferritin and any dead-space indices adjusting for PaO2/FiO2, days of ventilation, tidal volume, and respiratory system compliance. CONCLUSIONS We report no association between dead space and inflammatory markers in mechanically ventilated patients with C-ARDS. Our results support theories suggesting that multiple mechanisms, in addition to immunothrombosis, play a role in the pathophysiology of respiratory failure and degree of dead space in C-ARDS.
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Affiliation(s)
- Luigi Camporota
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK; Centre of Human Applied Physiological Sciences, King's College London, London, UK
| | - Barnaby Sanderson
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Stephanie Worrall
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Marlies Ostermann
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Nicholas A Barrett
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Andrew Retter
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Mattia Busana
- Department of Anesthesiology, University Medical Center of Göttingen, Germany
| | - Patrick Collins
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Federica Romitti
- Department of Anesthesiology, University Medical Center of Göttingen, Germany
| | - Beverley J Hunt
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Louise Rose
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK; Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK
| | - Luciano Gattinoni
- Department of Anesthesiology, University Medical Center of Göttingen, Germany
| | - Davide Chiumello
- Department of Anesthesiology and Intensive Care, ASST Santi e Paolo Hospital, University of Milan, Italy.
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Mechanical Power Ratio and Respiratory Treatment Escalation in COVID-19 Pneumonia: A Secondary Analysis of a Prospectively Enrolled Cohort. Anesthesiology 2023; 138:289-298. [PMID: 36571571 PMCID: PMC9904389 DOI: 10.1097/aln.0000000000004465] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Under the hypothesis that mechanical power ratio could identify the spontaneously breathing patients with a higher risk of respiratory failure, this study assessed lung mechanics in nonintubated patients with COVID-19 pneumonia, aiming to (1) describe their characteristics; (2) compare lung mechanics between patients who received respiratory treatment escalation and those who did not; and (3) identify variables associated with the need for respiratory treatment escalation. METHODS Secondary analysis of prospectively enrolled cohort involving 111 consecutive spontaneously breathing adults receiving continuous positive airway pressure, enrolled from September 2020 to December 2021. Lung mechanics and other previously reported predictive indices were calculated, as well as a novel variable: the mechanical power ratio (the ratio between the actual and the expected baseline mechanical power). Patients were grouped according to the outcome: (1) no-treatment escalation (patient supported in continuous positive airway pressure until improvement) and (2) treatment escalation (escalation of the respiratory support to noninvasive or invasive mechanical ventilation), and the association between lung mechanics/predictive scores and outcome was assessed. RESULTS At day 1, patients undergoing treatment escalation had spontaneous tidal volume similar to those of patients who did not (7.1 ± 1.9 vs. 7.1 ± 1.4 ml/kgIBW; P = 0.990). In contrast, they showed higher respiratory rate (20 ± 5 vs. 18 ± 5 breaths/min; P = 0.028), minute ventilation (9.2 ± 3.0 vs. 7.9 ± 2.4 l/min; P = 0.011), tidal pleural pressure (8.1 ± 3.7 vs. 6.0 ± 3.1 cm H2O; P = 0.003), mechanical power ratio (2.4 ± 1.4 vs. 1.7 ± 1.5; P = 0.042), and lower partial pressure of alveolar oxygen/fractional inspired oxygen tension (174 ± 64 vs. 220 ± 95; P = 0.007). The mechanical power (area under the curve, 0.738; 95% CI, 0.636 to 0.839] P < 0.001), the mechanical power ratio (area under the curve, 0.734; 95% CI, 0.625 to 0.844; P < 0.001), and the pressure-rate index (area under the curve, 0.733; 95% CI, 0.631 to 0.835; P < 0.001) showed the highest areas under the curve. CONCLUSIONS In this COVID-19 cohort, tidal volume was similar in patients undergoing treatment escalation and in patients who did not; mechanical power, its ratio, and pressure-rate index were the variables presenting the highest association with the clinical outcome. EDITOR’S PERSPECTIVE
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Scaramuzzo G, Karbing DS, Fogagnolo A, Mauri T, Spinelli E, Mari M, Turrini C, Montanaro F, Volta CA, Rees SE, Spadaro S. Heterogeneity of Ventilation/Perfusion Mismatch at Different Levels of PEEP and in Respiratory Mechanics Phenotypes of COVID-19 ARDS. Respir Care 2023; 68:188-198. [PMID: 36347564 PMCID: PMC9994283 DOI: 10.4187/respcare.10242] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND COVID-19-related ARDS is characterized by severe hypoxemia with initially preserved lung compliance and impaired ventilation/perfusion (V̇/Q̇) matching. PEEP can increase end-expiratory lung volume, but its effect on V̇/Q̇ mismatch in COVID-19-related ARDS is not clear. METHODS We enrolled intubated and mechanically ventilated subjects with COVID-19 ARDS and used the automatic lung parameter estimator (ALPE) to measure V̇/Q̇. Respiratory mechanics measurements, shunt, and V̇/Q̇ mismatch (low V̇/Q̇ and high V̇/Q̇) were collected at 3 PEEP levels (clinical PEEP = intermediate PEEP, low PEEP [clinical - 50%], and high PEEP [clinical + 50%]). A mixed-effect model was used to evaluate the impact of PEEP on V̇/Q̇. We also investigated if PEEP might have a different effect on V̇/Q̇ mismatch in 2 different respiratory mechanics phenotypes, that is, high elastance/low compliance (phenotype H) and low elastance/high compliance (phenotype L). RESULTS Seventeen subjects with COVID-related ARDS age 66 [60-71] y with a PaO2 /FIO2 of 141 ± 74 mm Hg were studied at low PEEP = 5.6 ± 2.2 cm H2O, intermediate PEEP = 10.6 ± 3.8 cm H2O, and high PEEP = 15 ± 5 cm H2O. Shunt, low V̇/Q̇, high V̇/Q̇, and alveolar dead space were not significantly influenced, on average, by PEEP. Respiratory system compliance decreased significantly when increasing PEEP without significant variation of PaO2 /FIO2 (P = .26). In the 2 phenotypes, PEEP had opposite effects on shunt, with a decrease in the phenotype L and an increase in phenotype H (P = .048). CONCLUSIONS In subjects with COVID-related ARDS placed on invasive mechanical ventilation for > 48 h, PEEP had a heterogeneous effect on V̇/Q̇ mismatch and, on average, higher levels were not able to reduce shunt. The subject's compliance could influence the effect of PEEP on V̇/Q̇ mismatch since an increased shunt was observed in subjects with lower compliance, whereas the opposite occurred in those with higher compliance.
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Affiliation(s)
- Gaetano Scaramuzzo
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy; and Department of Anesthesia and Intensive Care Medicine, Azienda Ospedaliera Universitaria di Ferrara, Ferrara, Italy
| | - Dan Stieper Karbing
- Department of Health Science and Technology, Aalborg University, Aalborg East, Denmark
| | - Alberto Fogagnolo
- Department of Anesthesia and Intensive Care Medicine, Azienda Ospedaliera Universitaria di Ferrara, Ferrara, Italy
| | - Tommaso Mauri
- Department of Anesthesia, Critical Care and Emergency, Institute for Treatment and Research, Ca' Granda Maggiore Policlinico Hospital Foundation, Milan, Italy; and Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Elena Spinelli
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Matilde Mari
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy
| | - Cecilia Turrini
- Department of Anesthesia and Intensive Care Medicine, Azienda Ospedaliera Universitaria di Ferrara, Ferrara, Italy
| | - Federica Montanaro
- Department of Anesthesia and Intensive Care Medicine, Azienda Ospedaliera Universitaria di Ferrara, Ferrara, Italy
| | - Carlo Alberto Volta
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy; and Department of Anesthesia and Intensive Care Medicine, Azienda Ospedaliera Universitaria di Ferrara, Ferrara, Italy
| | - Stephen Edward Rees
- Department of Health Science and Technology, Aalborg University, Aalborg East, Denmark
| | - Savino Spadaro
- Department of Translational Medicine and for Romagna, University of Ferrara, Ferrara, Italy; and Department of Anesthesia and Intensive Care Medicine, Azienda Ospedaliera Universitaria di Ferrara, Ferrara, Italy.
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Cheema HA, Siddiqui A, Ochani S, Adnan A, Sukaina M, Haider R, Shahid A, Rehman MEU, Awan RU, Singh H, Duric N, Fazzini B, Torres A, Szakmany T. Awake Prone Positioning for Non-Intubated COVID-19 Patients with Acute Respiratory Failure: A Meta-Analysis of Randomised Controlled Trials. J Clin Med 2023; 12:926. [PMID: 36769574 PMCID: PMC9917863 DOI: 10.3390/jcm12030926] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 12/24/2022] [Accepted: 01/22/2023] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION Awake prone positioning (APP) has been widely applied in non-intubated patients with COVID-19-related acute hypoxemic respiratory failure. However, the results from randomised controlled trials (RCTs) are inconsistent. We performed a meta-analysis to assess the efficacy and safety of APP and to identify the subpopulations that may benefit the most from it. METHODS We searched five electronic databases from inception to August 2022 (PROSPERO registration: CRD42022342426). We included only RCTs comparing APP with supine positioning or standard of care with no prone positioning. Our primary outcomes were the risk of intubation and all-cause mortality. Secondary outcomes included the need for escalating respiratory support, length of ICU and hospital stay, ventilation-free days, and adverse events. RESULTS We included 11 RCTs and showed that APP reduced the risk of requiring intubation in the overall population (RR 0.84, 95% CI: 0.74-0.95; moderate certainty). Following the subgroup analyses, a greater benefit was observed in two patient cohorts: those receiving a higher level of respiratory support (compared with those receiving conventional oxygen therapy) and those in intensive care unit (ICU) settings (compared to patients in non-ICU settings). APP did not decrease the risk of mortality (RR 0.93, 95% CI: 0.77-1.11; moderate certainty) and did not increase the risk of adverse events. CONCLUSIONS In patients with COVID-19-related acute hypoxemic respiratory failure, APP likely reduced the risk of requiring intubation, but failed to demonstrate a reduction in overall mortality risk. The benefits of APP are most noticeable in those requiring a higher level of respiratory support in an ICU environment.
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Affiliation(s)
- Huzaifa Ahmad Cheema
- Intensive Care Unit, Department of Chest Medicine, King Edward Medical University, Lahore 54000, Pakistan
| | - Amna Siddiqui
- Department of Medicine, Karachi Medical and Dental College, Karachi 74700, Pakistan
| | - Sidhant Ochani
- Department of Medicine, Khairpur Medical College, Khairpur 66020, Pakistan
| | - Alishba Adnan
- Department of Medicine, Karachi Medical and Dental College, Karachi 74700, Pakistan
| | - Mahnoor Sukaina
- Department of Medicine, Karachi Medical and Dental College, Karachi 74700, Pakistan
| | - Ramsha Haider
- Department of Medicine, Karachi Medical and Dental College, Karachi 74700, Pakistan
| | - Abia Shahid
- Intensive Care Unit, Department of Chest Medicine, King Edward Medical University, Lahore 54000, Pakistan
| | | | - Rehmat Ullah Awan
- Department of Medicine, Ochsner Rush Medical Center, Meridian, MS 39301, USA
| | - Harpreet Singh
- Division of Pulmonary and Critical Care, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Natalie Duric
- Critical Care Directorate, The Grange University Hospital, Aneurin Bevan University Health Board, Cwmbran NP44 2XJ, UK
| | - Brigitta Fazzini
- Adult Critical Care Unit, The Royal London Hospital, Barts Health NHS Trust, London E1 1BB, UK
| | - Antoni Torres
- Department of Pneumology, Respiratory Institute, Hospital Clinic of Barcelona, 08036 Barcelona, Spain
- CibeRes (Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, 06/06/0028), Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 28029 Barcelona, Spain
- School of Medicine, University of Barcelona, 08036 Barcelona, Spain
| | - Tamas Szakmany
- Critical Care Directorate, The Grange University Hospital, Aneurin Bevan University Health Board, Cwmbran NP44 2XJ, UK
- Department of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Cardiff CF14 4XN, UK
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Morgan TJ, Langley AN, Barrett RDC, Anstey CM. Pulmonary gas exchange evaluated by machine learning: a computer simulation. J Clin Monit Comput 2023; 37:201-210. [PMID: 35691965 PMCID: PMC9188913 DOI: 10.1007/s10877-022-00879-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 05/08/2022] [Indexed: 01/24/2023]
Abstract
Using computer simulation we investigated whether machine learning (ML) analysis of selected ICU monitoring data can quantify pulmonary gas exchange in multi-compartment format. A 21 compartment ventilation/perfusion (V/Q) model of pulmonary blood flow processed 34,551 combinations of cardiac output, hemoglobin concentration, standard P50, base excess, VO2 and VCO2 plus three model-defining parameters: shunt, log SD and mean V/Q. From these inputs the model produced paired arterial blood gases, first with the inspired O2 fraction (FiO2) adjusted to arterial saturation (SaO2) = 0.90, and second with FiO2 increased by 0.1. 'Stacked regressor' ML ensembles were trained/validated on 90% of this dataset. The remainder with shunt, log SD, and mean 'held back' formed the test-set. 'Two-Point' ML estimates of shunt, log SD and mean utilized data from both FiO2 settings. 'Single-Point' estimates used only data from SaO2 = 0.90. From 3454 test gas exchange scenarios, two-point shunt, log SD and mean estimates produced linear regression models versus true values with slopes ~ 1.00, intercepts ~ 0.00 and R2 ~ 1.00. Kernel density and Bland-Altman plots confirmed close agreement. Single-point estimates were less accurate: R2 = 0.77-0.89, slope = 0.991-0.993, intercept = 0.009-0.334. ML applications using blood gas, indirect calorimetry, and cardiac output data can quantify pulmonary gas exchange in terms describing a 20 compartment V/Q model of pulmonary blood flow. High fidelity reports require data from two FiO2 settings.
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Affiliation(s)
- Thomas J Morgan
- Mater Research, Mater Health Services and University of Queensland, Stanley Street, South Brisbane, Brisbane, QLD, 4101, Australia.
| | - Adrian N Langley
- Intensive Care Department, Mater Health Services, Stanley Street, South Brisbane, Brisbane, QLD, 4101, Australia
- University of Queensland, Brisbane, QLD, 4072, Australia
| | | | - Christopher M Anstey
- University of Queensland, Brisbane, QLD, 4072, Australia
- Griffith University, Gold Coast, QLD, 4215, Australia
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Perchiazzi G, Larina A, Hansen T, Frithiof R, Hultström M, Lipcsey M, Pellegrini M. Chest dual-energy CT to assess the effects of steroids on lung function in severe COVID-19 patients. Crit Care 2022; 26:328. [PMID: 36284360 PMCID: PMC9595078 DOI: 10.1186/s13054-022-04200-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 10/12/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Steroids have been shown to reduce inflammation, hypoxic pulmonary vasoconstriction (HPV) and lung edema. Based on evidence from clinical trials, steroids are widely used in severe COVID-19. However, the effects of steroids on pulmonary gas volume and blood volume in this group of patients are unexplored. OBJECTIVE Profiting by dual-energy computed tomography (DECT), we investigated the relationship between the use of steroids in COVID-19 and distribution of blood volume as an index of impaired HPV. We also investigated whether the use of steroids influences lung weight, as index of lung edema, and how it affects gas distribution. METHODS Severe COVID-19 patients included in a single-center prospective observational study at the intensive care unit at Uppsala University Hospital who had undergone DECT were enrolled in the current study. Patients' cohort was divided into two groups depending on the administration of steroids. From each patient's DECT, 20 gas volume maps and the corresponding 20 blood volume maps, evenly distributed along the cranial-caudal axis, were analyzed. As a proxy for HPV, pulmonary blood volume distribution was analyzed in both the whole lung and the hypoinflated areas. Total lung weight, index of lung edema, was estimated. RESULTS Sixty patients were analyzed, whereof 43 received steroids. Patients not exposed to steroids showed a more extensive non-perfused area (19% vs 13%, p < 0.01) and less homogeneous pulmonary blood volume of hypoinflated areas (kurtosis: 1.91 vs 2.69, p < 0.01), suggesting a preserved HPV compared to patients treated with steroids. Moreover, patients exposed to steroids showed a significantly lower lung weight (953 gr vs 1140 gr, p = 0.01). A reduction in alveolar-arterial difference of oxygen followed the treatment with steroids (322 ± 106 mmHg at admission vs 267 ± 99 mmHg at DECT, p = 0.04). CONCLUSIONS The use of steroids might cause impaired HPV and might reduce lung edema in severe COVID-19. This is consistent with previous findings in other diseases. Moreover, a reduced lung weight, as index of decreased lung edema, and a more homogeneous distribution of gas within the lung were shown in patients treated with steroids. TRIAL REGISTRATION Clinical Trials ID: NCT04316884, Registered March 13, 2020.
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Affiliation(s)
- Gaetano Perchiazzi
- grid.8993.b0000 0004 1936 9457Anesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden ,grid.8993.b0000 0004 1936 9457Hedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Akademiska Sjukhuset, Ing 40, 3 tr, 751 85 Uppsala, Sweden ,grid.412354.50000 0001 2351 3333Department of Anesthesia, Operation and Intensive Care, Uppsala University Hospital, Uppsala, Sweden
| | - Aleksandra Larina
- grid.8993.b0000 0004 1936 9457Anesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden ,grid.412354.50000 0001 2351 3333Department of Anesthesia, Operation and Intensive Care, Uppsala University Hospital, Uppsala, Sweden
| | - Tomas Hansen
- grid.8993.b0000 0004 1936 9457Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Robert Frithiof
- grid.8993.b0000 0004 1936 9457Anesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden ,grid.412354.50000 0001 2351 3333Department of Anesthesia, Operation and Intensive Care, Uppsala University Hospital, Uppsala, Sweden
| | - Michael Hultström
- grid.8993.b0000 0004 1936 9457Anesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden ,grid.412354.50000 0001 2351 3333Department of Anesthesia, Operation and Intensive Care, Uppsala University Hospital, Uppsala, Sweden ,grid.8993.b0000 0004 1936 9457Integrative Physiology, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Miklos Lipcsey
- grid.8993.b0000 0004 1936 9457Anesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden ,grid.8993.b0000 0004 1936 9457Hedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Akademiska Sjukhuset, Ing 40, 3 tr, 751 85 Uppsala, Sweden ,grid.412354.50000 0001 2351 3333Department of Anesthesia, Operation and Intensive Care, Uppsala University Hospital, Uppsala, Sweden
| | - Mariangela Pellegrini
- grid.8993.b0000 0004 1936 9457Anesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden ,grid.8993.b0000 0004 1936 9457Hedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Akademiska Sjukhuset, Ing 40, 3 tr, 751 85 Uppsala, Sweden ,grid.412354.50000 0001 2351 3333Department of Anesthesia, Operation and Intensive Care, Uppsala University Hospital, Uppsala, Sweden
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Harutyunyan G, Benítez Bermejo RI, Harutyunyan V, Harutyunyan G, Sánchez Gimeno A, Cherkezyan A, Petrosyan S, Gnuni A, Soghomonyan S. Hypoxaemia in the early stage of COVID-19: prevalence of physical or biochemical factors? Eur Respir Rev 2022; 31:31/165/220138. [PMID: 36130788 PMCID: PMC9724909 DOI: 10.1183/16000617.0138-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 07/31/2022] [Indexed: 12/14/2022] Open
Abstract
We read with interest the reply from Busanaet al. [1] to our correspondence [2]. We fully agree with the authors and with the cited references [3–6] stating that the affinity of haemoglobin (Hb) for oxygen (O2) is not affected in the arteries or in the veins of coronavirus disease 2019 (COVID-19) patients. The confusion arises as our concept is based on the biochemical shunt due to the quaternary conformational change of Hb with a temporary decrease of Hb–O2 affinity, which is applicable only to the affected alveolar-capillary bed. The ventilation–perfusion mismatch can't explain the high PaCO2–PETCO2 gap in the setting of COVID-19 induced hypoxaemia and cannot be considered as the sole pathophysiological basis for the treatment in the early stage of COVID-19https://bit.ly/3BKmGxJ
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Affiliation(s)
- Gurgen Harutyunyan
- Hospital 9 de Octubre, Urgency Department, Valencia, Spain,Gurgen Harutyunyan ()
| | | | | | | | | | | | | | - Anatoli Gnuni
- Ministry of Health of the Republic of Armenia, Yerevan, Armenia
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Silent Hypoxemia in the Emergency Department: A Retrospective Cohort of Two Clinical Phenotypes in Critical COVID-19. J Clin Med 2022; 11:jcm11175034. [PMID: 36078970 PMCID: PMC9457247 DOI: 10.3390/jcm11175034] [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: 08/10/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction: Understanding hypoxemia, with and without the clinical signs of acute respiratory failure (ARF) in COVID-19, is key for management. Hence, from a population of critical patients admitted to the emergency department (ED), we aimed to study silent hypoxemia (Phenotype I) in comparison to symptomatic hypoxemia with clinical signs of ARF (Phenotype II). Methods: This multicenter study was conducted between 1 March and 30 April 2020. Adult patients who were presented to the EDs of nine Great-Eastern French hospitals for confirmed severe or critical COVID-19, who were then directly admitted to the intensive care unit (ICU), were retrospectively included. Results: A total of 423 critical COVID-19 patients were included, out of whom 56.1% presented symptomatic hypoxemia with clinical signs of ARF, whereas 43.9% presented silent hypoxemia. Patients with clinical phenotype II were primarily intubated, initially, in the ED (46%, p < 0.001), whereas those with silent hypoxemia (56.5%, p < 0.001) were primarily intubated in the ICU. Initial univariate analysis revealed higher ICU mortality (29.2% versus 18.8%, p < 0.014) and in-hospital mortality (32.5% versus 18.8%, p < 0.002) in phenotype II. However, multivariate analysis showed no significant differences between the two phenotypes regarding mortality and hospital or ICU length of stay. Conclusions: Silent hypoxemia is explained by various mechanisms, most physiological and unspecific to COVID-19. Survival was found to be comparable in both phenotypes, with decreased survival in favor of Phenotype II. However, the spectrum of silent to symptomatic hypoxemia appears to include a continuum of disease progression, which can brutally evolve into fatal ARF.
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Başaran NÇ, Özdede M, Uyaroğlu OA, Şahin TK, Özcan B, Oral H, Özışık L, Güven GS, Tanrıöver MD. Independent predictors of in-hospital mortality and the need for intensive care in hospitalized non-critical COVID-19 patients: a prospective cohort study. Intern Emerg Med 2022; 17:1413-1424. [PMID: 35596104 PMCID: PMC9122556 DOI: 10.1007/s11739-022-02962-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 02/25/2022] [Indexed: 12/15/2022]
Abstract
One of the most helpful strategies to deal with ongoing coronavirus pandemics is to use some prudence when treating patients infected with SARS-CoV-2. We aimed to evaluate the clinical, demographic, and laboratory parameters that might have predictive value for in-hospital mortality and the need for intensive care and build a model based on them. This study was a prospective, observational, single-center study including non-critical patients admitted to COVID-19 wards. Besides classical clinic-demographic features, basic laboratory parameters obtained on admission were tested, and then new models for each outcome were developed built on the most significant variables. Receiver operating characteristics (ROC) analyses were performed by calculating each model's probability. A total of 368 non-critical hospitalized patients were recruited, the need for ICU care was observed in 70 patients (19%). The total number of patients who died in either ICU or wards was 39 (10.6%). The first two models (based on clinical features and demographics) were developed to predict ICU and death, respectively; older age, male sex, active cancer, and low baseline saturation were noted to be independent predictors. The area under the curve values of the first two models were noted 0.878 and 0.882 (p < .001; confidence interval [CI] 95% [0.837-0.919], p < .001; CI 95% [0.844-0.922]). Following two models, the third and fourth were based on laboratory parameters with clinic-demographic features. Initial lower sodium and lower albumin levels were determined as independent factors in predicting the need for ICU care; higher blood urea nitrogen and lower albumin were independent factors in predicting in-hospital mortality. The area under the curve values of the third and fourth model was noted 0.938 and 0.929, respectively (p < .001; CI 95% [0.912-0.965], p < .001; CI 95% [0.895-962]). By integrating the widely available blood tests results with simple clinic demographic data, non-critical patients can be stratified according to their risk level. Such stratification is essential to filter the patients' non-critical underlying diseases and conditions that can obfuscate the physician's predictive capacity.
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Affiliation(s)
- Nursel Çalık Başaran
- Division of General Internal Medicine, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Murat Özdede
- Division of General Internal Medicine, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey.
| | - Oğuz Abdullah Uyaroğlu
- Division of General Internal Medicine, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Taha Koray Şahin
- Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Berşan Özcan
- Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Hakan Oral
- Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Lale Özışık
- Division of General Internal Medicine, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Gülay Sain Güven
- Division of General Internal Medicine, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Mine Durusu Tanrıöver
- Division of General Internal Medicine, Department of Internal Medicine, Faculty of Medicine, Hacettepe University, Ankara, Turkey
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Raimondi F, Cazzaniga S, Annibali S, Novelli L, Brivio M, Pappacena S, Malandrino L, Bonaffini PA, Bianco I, Liggeri N, Gritti P, Lorini FL, Sironi S, Di Marco F. Extent and Distribution of Parenchymal Abnormalities in Baseline CT-Scans Do Not Predict Awake Prone Positioning Response in COVID-19 Related ARDS. Diagnostics (Basel) 2022; 12:diagnostics12081848. [PMID: 36010199 PMCID: PMC9406535 DOI: 10.3390/diagnostics12081848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 07/24/2022] [Accepted: 07/24/2022] [Indexed: 12/15/2022] Open
Abstract
Prone positioning is frequently used for non-intubated hypoxemic patients with COVID-19, although conclusive evidence is still lacking. The aim of the present study was to investigate whether baseline CT-scans could predict the improvement in oxygenation in COVID-19 related Acute respira-tory syndrome (ARDS) patients when pronated. Methods: A retrospective study of COVID-19 patients who underwent non-invasive ventilation (NIV) and prone positioning was conducted. Results: Forty-five patients were included. On average, 50% of the overall lung volume was affected by the disease, as observed in the CT-scans, with ground glass opacities (GGOs) and consolidations accounting for 44% and 4%, respectively. The abnormalities were mainly posterior, as demonstrated by posterior/anterior distribution ratios of 1.5 and 4.4 for GGO and consolidation, respectively. The median PaO2/FiO2 ratio during NIV in a supine position (SP1) was 140 [IQR 108–169], which improved by 67% (+98) during prone positioning, on average. Once supine positioning was resumed (SP2), the improvement in oxygenation was maintained in 28 patients (62% of the overall population, categorized as “responders”). We found no significant differences between responders and non-responders in terms of the extent (p = 0.92) and the distribution of parenchymal abnormalities seen in the baseline CT (p = 0.526). Conclusion: Despite the lack of a priori estimation of the sample size, considering the absence of any trends in the differences and correlations, we can reasonably conclude that the baseline chest CT-scan does not predict a gas-exchange response in awake prone-positioned patients with COVID-19 related ARDS. Physicians dealing with this category of patients should not rely on the imaging at presentation when evaluating whether to pronate patients.
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Affiliation(s)
- Federico Raimondi
- Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (F.R.); (L.N.); (S.P.); (L.M.)
| | - Sara Cazzaniga
- Department of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.C.); (M.B.); (P.G.); (F.L.L.)
| | - Simona Annibali
- Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.A.); (P.A.B.); (I.B.); (N.L.); (S.S.)
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Luca Novelli
- Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (F.R.); (L.N.); (S.P.); (L.M.)
| | - Matteo Brivio
- Department of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.C.); (M.B.); (P.G.); (F.L.L.)
| | - Simone Pappacena
- Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (F.R.); (L.N.); (S.P.); (L.M.)
- Department of Health Sciences, University of Milan, 20122 Milan, Italy
| | - Luca Malandrino
- Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (F.R.); (L.N.); (S.P.); (L.M.)
- Department of Health Sciences, University of Milan, 20122 Milan, Italy
| | - Pietro Andrea Bonaffini
- Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.A.); (P.A.B.); (I.B.); (N.L.); (S.S.)
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Ilaria Bianco
- Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.A.); (P.A.B.); (I.B.); (N.L.); (S.S.)
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Noemi Liggeri
- Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.A.); (P.A.B.); (I.B.); (N.L.); (S.S.)
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Paolo Gritti
- Department of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.C.); (M.B.); (P.G.); (F.L.L.)
| | - Ferdinando Luca Lorini
- Department of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.C.); (M.B.); (P.G.); (F.L.L.)
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Sandro Sironi
- Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.A.); (P.A.B.); (I.B.); (N.L.); (S.S.)
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Fabiano Di Marco
- Pulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy; (F.R.); (L.N.); (S.P.); (L.M.)
- Department of Health Sciences, University of Milan, 20122 Milan, Italy
- Correspondence: ; Tel.: +39-035-2673456
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25
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Busana M, Camporota L, Gattinoni L. Hypoxaemia in COVID-19: many pieces to a complex puzzle. Eur Respir Rev 2022; 31:31/164/220090. [PMID: 35768129 DOI: 10.1183/16000617.0090-2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 05/17/2022] [Indexed: 01/13/2023] Open
Affiliation(s)
- Mattia Busana
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Luigi Camporota
- Dept of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, Health Centre for Human and Applied Physiological Sciences, London, UK
| | - Luciano Gattinoni
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
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26
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Harutyunyan G, Harutyunyan V, Harutyunyan G, Sánchez Gimeno A, Cherkezyan A, Petrosyan S, Gnuni A, Soghomonyan S. Ventilation/perfusion mismatch is not the sole reason for hypoxaemia in early stage COVID-19 patients. Eur Respir Rev 2022; 31:31/164/210277. [PMID: 35768132 PMCID: PMC9488915 DOI: 10.1183/16000617.0277-2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 04/07/2022] [Indexed: 12/27/2022] Open
Abstract
It was a pleasure reading the work of Gattinoniet al. [1] dedicated to the pathophysiological mechanisms of hypoxaemia observed in coronavirus disease 2019 (COVID-19) patients. The authors recommend treating the hypoxaemia observed in the early stages of COVID-19 based on ventilation/perfusion (VʹA/Qʹ) mismatch. The transformation of alveolar microcirculation to a peripheral circulation type in COVID-19 patients leads to important decreases in haemoglobin–oxygen affinity and provokes biochemical shunthttps://bit.ly/3jE53pe
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Affiliation(s)
| | | | - Garnik Harutyunyan
- Universitat De València, Faculty of Pharmacy, Burjassot, Valencia, Spain
| | | | - Artur Cherkezyan
- Erebouni medical center, Dept of Anesthesiology, Yerevan, Armenia
| | - Spartak Petrosyan
- National Center for Infection Diseases (Ministry of Health, Republic of Armenia), Yerevan, Armenia
| | - Anatoli Gnuni
- Ministry of Health, Republic of Armenia, Yerevan, Armenia
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27
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Middleton S, Dimbath E, Pant A, George SM, Maddipati V, Peach MS, Yang K, Ju AW, Vahdati A. Towards a multi-scale computer modeling workflow for simulation of pulmonary ventilation in advanced COVID-19. Comput Biol Med 2022; 145:105513. [PMID: 35447459 PMCID: PMC9005224 DOI: 10.1016/j.compbiomed.2022.105513] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/10/2022] [Accepted: 04/08/2022] [Indexed: 12/16/2022]
Abstract
Physics-based multi-scale in silico models offer an excellent opportunity to study the effects of heterogeneous tissue damage on airflow and pressure distributions in COVID-19-afflicted lungs. The main objective of this study is to develop a computational modeling workflow, coupling airflow and tissue mechanics as the first step towards a virtual hypothesis-testing platform for studying injury mechanics of COVID-19-afflicted lungs. We developed a CT-based modeling approach to simulate the regional changes in lung dynamics associated with heterogeneous subject-specific COVID-19-induced damage patterns in the parenchyma. Furthermore, we investigated the effect of various levels of inflammation in a meso-scale acinar mechanics model on global lung dynamics. Our simulation results showed that as the severity of damage in the patient's right lower, left lower, and to some extent in the right upper lobe increased, ventilation was redistributed to the least injured right middle and left upper lobes. Furthermore, our multi-scale model reasonably simulated a decrease in overall tidal volume as the level of tissue injury and surfactant loss in the meso-scale acinar mechanics model was increased. This study presents a major step towards multi-scale computational modeling workflows capable of simulating the effect of subject-specific heterogenous COVID-19-induced lung damage on ventilation dynamics.
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Affiliation(s)
- Shea Middleton
- Department of Engineering, College of Engineering and Technology, East Carolina University, Greenville, NC, USA
| | - Elizabeth Dimbath
- Department of Engineering, College of Engineering and Technology, East Carolina University, Greenville, NC, USA
| | - Anup Pant
- Department of Engineering, College of Engineering and Technology, East Carolina University, Greenville, NC, USA
| | - Stephanie M George
- Department of Engineering, College of Engineering and Technology, East Carolina University, Greenville, NC, USA
| | - Veeranna Maddipati
- Division of Pulmonary and Critical Medicine, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - M Sean Peach
- Department of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Kaida Yang
- Department of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Andrew W Ju
- Department of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Ali Vahdati
- Department of Engineering, College of Engineering and Technology, East Carolina University, Greenville, NC, USA.
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28
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González-Ruiz FJ, Lazcano-Díaz EA, Baeza Herrera LA, Villalobos-Pedroza M, Toledo Alemán EL, Zuñiga-Salcedo MG, Cruz-Rodríguez C, López-Polanco A, Torres-Pulido A, Sierra-González de Cossio A, Cota Apodaca LA, Manzur-Sandoval D. Endotheliitis, Shunts, and Ventilation-Perfusion Mismatch in Coronavirus Disease 2019: A Literature Review of Disease Mechanisms. Ann Med Surg (Lond) 2022; 78:103820. [PMID: 35600188 PMCID: PMC9112604 DOI: 10.1016/j.amsu.2022.103820] [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: 03/27/2022] [Revised: 05/14/2022] [Accepted: 05/15/2022] [Indexed: 10/27/2022] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 pandemic has continued to impact global health. However, while immunity acquired by vaccines has been developed, 40% of the world's population has still not been vaccinated. Economic problems associated with acquiring novel therapies, misinformation, and differences in treatment protocols have generated catastrophic results, especially in low-resource countries. Understanding the pathophysiological aspects of coronavirus disease and the therapeutic strategies that have been validated to date is essential for successful medical care. In this review, I summarize the historical aspects of the virus, molecules involved in infecting the host, and consequences of viral interactions with and in tissues.
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Affiliation(s)
- Francisco J. González-Ruiz
- Department of Cardiovascular Critical Care, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, México
| | - Emmanuel A. Lazcano-Díaz
- Department of Cardiovascular Critical Care, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, México
| | - Luis A. Baeza Herrera
- Department of Cardiovascular Critical Care, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, México
| | | | - Enma L. Toledo Alemán
- Department of Cardiovascular Diseases, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, Mexico
| | - Miriam G. Zuñiga-Salcedo
- Department of Cardiovascular Diseases, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, Mexico
| | - Camelia Cruz-Rodríguez
- Department of Cardiovascular Critical Care, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, México
| | - Alexandra López-Polanco
- Department of Cardiovascular Critical Care, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, México
| | - Abraham Torres-Pulido
- Department of Cardiovascular Critical Care, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, México
| | | | - Luis A. Cota Apodaca
- Department of Cardiovascular Critical Care, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, México
| | - Daniel Manzur-Sandoval
- Department of Cardiovascular Critical Care, National Institute of Cardiology “Dr. Ignacio Chávez,”, Mexico City, México
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29
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Silva PL, Ball L, Rocco PRM, Pelosi P. Physiological and Pathophysiological Consequences of Mechanical Ventilation. Semin Respir Crit Care Med 2022; 43:321-334. [PMID: 35439832 DOI: 10.1055/s-0042-1744447] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mechanical ventilation is a life-support system used to ensure blood gas exchange and to assist the respiratory muscles in ventilating the lung during the acute phase of lung disease or following surgery. Positive-pressure mechanical ventilation differs considerably from normal physiologic breathing. This may lead to several negative physiological consequences, both on the lungs and on peripheral organs. First, hemodynamic changes can affect cardiovascular performance, cerebral perfusion pressure (CPP), and drainage of renal veins. Second, the negative effect of mechanical ventilation (compression stress) on the alveolar-capillary membrane and extracellular matrix may cause local and systemic inflammation, promoting lung and peripheral-organ injury. Third, intra-abdominal hypertension may further impair lung and peripheral-organ function during controlled and assisted ventilation. Mechanical ventilation should be optimized and personalized in each patient according to individual clinical needs. Multiple parameters must be adjusted appropriately to minimize ventilator-induced lung injury (VILI), including: inspiratory stress (the respiratory system inspiratory plateau pressure); dynamic strain (the ratio between tidal volume and the end-expiratory lung volume, or inspiratory capacity); static strain (the end-expiratory lung volume determined by positive end-expiratory pressure [PEEP]); driving pressure (the difference between the respiratory system inspiratory plateau pressure and PEEP); and mechanical power (the amount of mechanical energy imparted as a function of respiratory rate). More recently, patient self-inflicted lung injury (P-SILI) has been proposed as a potential mechanism promoting VILI. In the present chapter, we will discuss the physiological and pathophysiological consequences of mechanical ventilation and how to personalize mechanical ventilation parameters.
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Affiliation(s)
- Pedro Leme Silva
- Laboratory of Pulmonary Investigation, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Lorenzo Ball
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.,Department of Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
| | - Patricia R M Rocco
- Laboratory of Pulmonary Investigation, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Paolo Pelosi
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.,Department of Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
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30
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Ball L, Silva PL, Giacobbe DR, Bassetti M, Zubieta-Calleja GR, Rocco PRM, Pelosi P. Understanding the pathophysiology of typical acute respiratory distress syndrome and severe COVID-19. Expert Rev Respir Med 2022; 16:437-446. [PMID: 35341424 PMCID: PMC9115784 DOI: 10.1080/17476348.2022.2057300] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Introduction Typical acute respiratory distress syndrome (ARDS) and severe coronavirus-19 (COVID-19) pneumonia share complex pathophysiology, a high mortality rate, and an unmet need for efficient therapeutics. Areas covered This review discusses the current advances in understanding the pathophysiologic mechanisms underlying typical ARDS and severe COVID-19 pneumonia, highlighting specific aspects of COVID-19-related acute hypoxemic respiratory failure that require attention. Two models have been proposed to describe the mechanisms of respiratory failure associated with typical ARDS and severe COVID-19 pneumonia. Expert opinion ARDS is defined as a syndrome rather than a distinct pathologic entity. There is great heterogeneity regarding the pathophysiologic, clinical, radiologic, and biological phenotypes in patients with ARDS, challenging clinicians, and scientists to discover new therapies. COVID-19 has been described as a cause of pulmonary ARDS and has reopened many questions regarding the pathophysiology of ARDS itself. COVID-19 lung injury involves direct viral epithelial cell damage and thrombotic and inflammatory reactions. There are some differences between ARDS and COVID-19 lung injury in aspects of aeration distribution, perfusion, and pulmonary vascular responses.
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Affiliation(s)
- Lorenzo Ball
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.,Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Pedro Leme Silva
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Daniele Roberto Giacobbe
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Infectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Matteo Bassetti
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Infectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | | | - Patricia R M Rocco
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Paolo Pelosi
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.,Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
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31
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Breathing face down. Br J Anaesth 2022; 128:745-747. [PMID: 35216817 PMCID: PMC8864017 DOI: 10.1016/j.bja.2022.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 12/05/2022] Open
Abstract
The prone position has been used to improve oxygenation in patients affected by acute respiratory distress syndrome, but its role in patients with COVID-19 is still unclear when these patients are breathing spontaneously. Mechanisms of ventilation and perfusion in the prone position are discussed, with new insights on how these changes relate to patients with COVID-19.
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32
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Kamenshchikov NO, Berra L, Carroll RW. Therapeutic Effects of Inhaled Nitric Oxide Therapy in COVID-19 Patients. Biomedicines 2022; 10:biomedicines10020369. [PMID: 35203578 PMCID: PMC8962307 DOI: 10.3390/biomedicines10020369] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 01/26/2022] [Accepted: 01/26/2022] [Indexed: 01/08/2023] Open
Abstract
The global COVID-19 pandemic has become the largest public health challenge of recent years. The incidence of COVID-19-related acute hypoxemic respiratory failure (AHRF) occurs in up to 15% of hospitalized patients. Antiviral drugs currently available to clinicians have little to no effect on mortality, length of in-hospital stay, the need for mechanical ventilation, or long-term effects. Inhaled nitric oxide (iNO) administration is a promising new non-standard approach to directly treat viral burden while enhancing oxygenation. Along with its putative antiviral affect in COVID-19 patients, iNO can reduce inflammatory cell-mediated lung injury by inhibiting neutrophil activation, lowering pulmonary vascular resistance and decreasing edema in the alveolar spaces, collectively enhancing ventilation/perfusion matching. This narrative review article presents recent literature on the iNO therapy use for COVID-19 patients. The authors suggest that early administration of the iNO therapy may be a safe and promising approach for the treatment of COVID-19 patients. The authors also discuss unconventional approaches to treatment, continuous versus intermittent high-dose iNO therapy, timing of initiation of therapy (early versus late), and novel delivery systems. Future laboratory and clinical research is required to define the role of iNO as an adjunct therapy against bacterial, viral, and fungal infections.
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Affiliation(s)
- Nikolay O. Kamenshchikov
- Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, 634012 Tomsk, Russia
- Correspondence:
| | - Lorenzo Berra
- Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA;
- Department of Anaesthesia, Harvard Medical School, Boston, MA 02115, USA;
| | - Ryan W. Carroll
- Department of Anaesthesia, Harvard Medical School, Boston, MA 02115, USA;
- Division of Pediatric Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
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33
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Camporota L, Cronin JN, Busana M, Gattinoni L, Formenti F. Pathophysiology of coronavirus-19 disease acute lung injury. Curr Opin Crit Care 2022; 28:9-16. [PMID: 34907979 PMCID: PMC8711311 DOI: 10.1097/mcc.0000000000000911] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE OF REVIEW More than 230 million people have tested positive for severe acute respiratory syndrome-coronavirus-2 infection globally by September 2021. The infection affects primarily the function of the respiratory system, where ∼20% of infected individuals develop coronavirus-19 disease (COVID-19) pneumonia. This review provides an update on the pathophysiology of the COVID-19 acute lung injury. RECENT FINDINGS In patients with COVID-19 pneumonia admitted to the intensive care unit, the PaO2/FiO2 ratio is typically <26.7 kPa (200 mmHg), whereas lung volume appears relatively unchanged. This hypoxaemia is likely determined by a heterogeneous mismatch of pulmonary ventilation and perfusion, mainly associated with immunothrombosis, endothelialitis and neovascularisation. During the disease, lung weight, elastance and dead space can increase, affecting respiratory drive, effort and dyspnoea. In some severe cases, COVID-19 pneumonia may lead to irreversible pulmonary fibrosis. SUMMARY This review summarises the fundamental pathophysiological features of COVID-19 in the context of the respiratory system. It provides an overview of the key clinical manifestations of COVID-19 pneumonia, including gas exchange impairment, altered pulmonary mechanics and implications of abnormal chemical and mechanical stimuli. It also critically discusses the clinical implications for mechanical ventilation therapy.
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Affiliation(s)
- Luigi Camporota
- Centre for Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, King's College London
- Intensive Care Unit, Guy's and St Thomas' NHS Foundation Trust
| | - John N Cronin
- Centre for Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, King's College London
- Department of Anaesthetics, Royal Brompton and Harefield, part of Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Mattia Busana
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Luciano Gattinoni
- Department of Anesthesiology, University Medical Center of Göttingen, Göttingen, Germany
| | - Federico Formenti
- Centre for Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, King's College London
- Nuffield Division of Anaesthetics, University of Oxford, Oxford, UK
- Department of Biomechanics, University of Nebraska Omaha, Omaha, Nebraska, USA
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34
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Gando S, Wada T. Pathomechanisms Underlying Hypoxemia in Two COVID-19-Associated Acute Respiratory Distress Syndrome Phenotypes: Insights From Thrombosis and Hemostasis. Shock 2022; 57:1-6. [PMID: 34172612 PMCID: PMC8662946 DOI: 10.1097/shk.0000000000001825] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/10/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND The pathomechanisms of hypoxemia and treatment strategies for type H and type L acute respiratory distress syndrome (ARDS) in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-induced coronavirus disease 2019 (COVID-19) have not been elucidated. MAIN TEXT SARS-CoV-2 mainly targets the lungs and blood, leading to ARDS, and systemic thrombosis or bleeding. Angiotensin II-induced coagulopathy, SARS-CoV-2-induced hyperfibrin(ogen)olysis, and pulmonary and/or disseminated intravascular coagulation due to immunothrombosis contribute to COVID-19-associated coagulopathy. Type H ARDS is associated with hypoxemia due to diffuse alveolar damage-induced high right-to-left shunts. Immunothrombosis occurs at the site of infection due to innate immune inflammatory and coagulofibrinolytic responses to SARS-CoV-2, resulting in microvascular occlusion with hypoperfusion of the lungs. Lung immunothrombosis in type L ARDS results from neutrophil extracellular traps containing platelets and fibrin in the lung microvasculature, leading to hypoxemia due to impaired blood flow and a high ventilation/perfusion (VA/Q) ratio. COVID-19-associated ARDS is more vascular centric than the other types of ARDS. D-dimer levels have been monitored for the progression of microvascular thrombosis in COVID-19 patients. Early anticoagulation therapy in critical patients with high D-dimer levels may improve prognosis, including the prevention and/or alleviation of ARDS. CONCLUSIONS Right-to-left shunts and high VA/Q ratios caused by lung microvascular thrombosis contribute to hypoxemia in type H and L ARDS, respectively. D-dimer monitoring-based anticoagulation therapy may prevent the progression to and/or worsening of ARDS in COVID-19 patients.
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Affiliation(s)
- Satoshi Gando
- Acute and Critical Center, Department of Acute and Critical Care Medicine, Sapporo Higashi Tokushukai Hospital, Sapporo, Japan
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Takeshi Wada
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan
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Mechanisms of oxygenation responses to proning and recruitment in COVID-19 pneumonia. Intensive Care Med 2022; 48:56-66. [PMID: 34825929 PMCID: PMC8617364 DOI: 10.1007/s00134-021-06562-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 10/19/2021] [Indexed: 01/15/2023]
Abstract
PURPOSE This study aimed at investigating the mechanisms underlying the oxygenation response to proning and recruitment maneuvers in coronavirus disease 2019 (COVID-19) pneumonia. METHODS Twenty-five patients with COVID-19 pneumonia, at variable times since admission (from 1 to 3 weeks), underwent computed tomography (CT) lung scans, gas-exchange and lung-mechanics measurement in supine and prone positions at 5 cmH2O and during recruiting maneuver (supine, 35 cmH2O). Within the non-aerated tissue, we differentiated the atelectatic and consolidated tissue (recruitable and non-recruitable at 35 cmH2O of airway pressure). Positive/negative response to proning/recruitment was defined as increase/decrease of PaO2/FiO2. Apparent perfusion ratio was computed as venous admixture/non aerated tissue fraction. RESULTS The average values of venous admixture and PaO2/FiO2 ratio were similar in supine-5 and prone-5. However, the PaO2/FiO2 changes (increasing in 65% of the patients and decreasing in 35%, from supine to prone) correlated with the balance between resolution of dorsal atelectasis and formation of ventral atelectasis (p = 0.002). Dorsal consolidated tissue determined this balance, being inversely related with dorsal recruitment (p = 0.012). From supine-5 to supine-35, the apparent perfusion ratio increased from 1.38 ± 0.71 to 2.15 ± 1.15 (p = 0.004) while PaO2/FiO2 ratio increased in 52% and decreased in 48% of patients. Non-responders had consolidated tissue fraction of 0.27 ± 0.1 vs. 0.18 ± 0.1 in the responding cohort (p = 0.04). Consolidated tissue, PaCO2 and respiratory system elastance were higher in patients assessed late (all p < 0.05), suggesting, all together, "fibrotic-like" changes of the lung over time. CONCLUSION The amount of consolidated tissue was higher in patients assessed during the third week and determined the oxygenation responses following pronation and recruitment maneuvers.
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Gattinoni L, Gattarello S, Steinberg I, Busana M, Palermo P, Lazzari S, Romitti F, Quintel M, Meissner K, Marini JJ, Chiumello D, Camporota L. COVID-19 pneumonia: pathophysiology and management. Eur Respir Rev 2021; 30:30/162/210138. [PMID: 34670808 PMCID: PMC8527244 DOI: 10.1183/16000617.0138-2021] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/08/2021] [Indexed: 12/23/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) pneumonia is an evolving disease. We will focus on the development of its pathophysiologic characteristics over time, and how these time-related changes determine modifications in treatment. In the emergency department: the peculiar characteristic is the coexistence, in a significant fraction of patients, of severe hypoxaemia, near-normal lung computed tomography imaging, lung gas volume and respiratory mechanics. Despite high respiratory drive, dyspnoea and respiratory rate are often normal. The underlying mechanism is primarily altered lung perfusion. The anatomical prerequisites for PEEP (positive end-expiratory pressure) to work (lung oedema, atelectasis, and therefore recruitability) are lacking. In the high-dependency unit: the disease starts to worsen either because of its natural evolution or additional patient self-inflicted lung injury (P-SILI). Oedema and atelectasis may develop, increasing recruitability. Noninvasive supports are indicated if they result in a reversal of hypoxaemia and a decreased inspiratory effort. Otherwise, mechanical ventilation should be considered to avert P-SILI. In the intensive care unit: the primary characteristic of the advance of unresolved COVID-19 disease is a progressive shift from oedema or atelectasis to less reversible structural lung alterations to lung fibrosis. These later characteristics are associated with notable impairment of respiratory mechanics, increased arterial carbon dioxide tension (PaCO2), decreased recruitability and lack of response to PEEP and prone positioning. COVID-19 pneumonia cannot be correctly described, analysed and treated if the time-factor is not taken into accounthttps://bit.ly/3AOKxc4
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Affiliation(s)
- Luciano Gattinoni
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Simone Gattarello
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Irene Steinberg
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Mattia Busana
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Paola Palermo
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Stefano Lazzari
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Federica Romitti
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Michael Quintel
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany.,Dept of Anesthesiology, Intensive Care and Emergency Medicine Donau-Isar-Klinikum Deggendorf, Deggendorf, Germany
| | - Konrad Meissner
- Dept of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - John J Marini
- Dept of Pulmonary and Critical Care Medicine, University of Minnesota and Regions Hospital, St. Paul, MN, USA
| | - Davide Chiumello
- Dept of Anesthesia and Intensive Care, San Paolo Hospital, University of Milan, Milan, Italy
| | - Luigi Camporota
- Dept of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, Health Centre for Human and Applied Physiological Sciences, London, UK
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Palumbo P, Palumbo MM, Bruno F, Picchi G, Iacopino A, Acanfora C, Sgalambro F, Arrigoni F, Ciccullo A, Cosimini B, Splendiani A, Barile A, Masedu F, Grimaldi A, Di Cesare E, Masciocchi C. Automated Quantitative Lung CT Improves Prognostication in Non-ICU COVID-19 Patients beyond Conventional Biomarkers of Disease. Diagnostics (Basel) 2021; 11:2125. [PMID: 34829472 PMCID: PMC8624922 DOI: 10.3390/diagnostics11112125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/08/2021] [Accepted: 11/12/2021] [Indexed: 12/22/2022] Open
Abstract
(1) Background: COVID-19 continues to represent a worrying pandemic. Despite the high percentage of non-severe illness, a wide clinical variability is often reported in real-world practice. Accurate predictors of disease aggressiveness, however, are still lacking. The purpose of our study was to evaluate the impact of quantitative analysis of lung computed tomography (CT) on non-intensive care unit (ICU) COVID-19 patients' prognostication; (2) Methods: Our historical prospective study included fifty-five COVID-19 patients consecutively submitted to unenhanced lung CT. Primary outcomes were recorded during hospitalization, including composite ICU admission for the need of mechanical ventilation and/or death occurrence. CT examinations were retrospectively evaluated to automatically calculate differently aerated lung tissues (i.e., overinflated, well-aerated, poorly aerated, and non-aerated tissue). Scores based on the percentage of lung weight and volume were also calculated; (3) Results: Patients who reported disease progression showed lower total lung volume. Inflammatory indices correlated with indices of respiratory failure and high-density areas. Moreover, non-aerated and poorly aerated lung tissue resulted significantly higher in patients with disease progression. Notably, non-aerated lung tissue was independently associated with disease progression (HR: 1.02; p-value: 0.046). When different predictive models including clinical, laboratoristic, and CT findings were analyzed, the best predictive validity was reached by the model that included non-aerated tissue (C-index: 0.97; p-value: 0.0001); (4) Conclusions: Quantitative lung CT offers wide advantages in COVID-19 disease stratification. Non-aerated lung tissue is more likely to occur with severe inflammation status, turning out to be a strong predictor for disease aggressiveness; therefore, it should be included in the predictive model of COVID-19 patients.
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Affiliation(s)
- Pierpaolo Palumbo
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Via Saragat, Località Campo di Pile, 67100 L’Aquila, Italy;
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy;
| | - Maria Michela Palumbo
- Department of Anesthesiology and Intensive Care Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, Catholic University of The Sacred Heart, 00168 Rome, Italy;
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy;
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Giovanna Picchi
- Infectious Disease Unit, San Salvatore Hospital, Via Lorenzo Natali, 1-Località Coppito, 67100 L’Aquila, Italy; (G.P.); (A.C.); (A.G.)
| | - Antonio Iacopino
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Chiara Acanfora
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Ferruccio Sgalambro
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Francesco Arrigoni
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Via Saragat, Località Campo di Pile, 67100 L’Aquila, Italy;
| | - Arturo Ciccullo
- Infectious Disease Unit, San Salvatore Hospital, Via Lorenzo Natali, 1-Località Coppito, 67100 L’Aquila, Italy; (G.P.); (A.C.); (A.G.)
| | - Benedetta Cosimini
- Department of Life, Health and Environmental Sciences, University of L’Aquila, Piazzale Salvatore Tommasi 1, 67100 L’Aquila, Italy; (B.C.); (E.D.C.)
| | - Alessandra Splendiani
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Antonio Barile
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Francesco Masedu
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
| | - Alessandro Grimaldi
- Infectious Disease Unit, San Salvatore Hospital, Via Lorenzo Natali, 1-Località Coppito, 67100 L’Aquila, Italy; (G.P.); (A.C.); (A.G.)
| | - Ernesto Di Cesare
- Department of Life, Health and Environmental Sciences, University of L’Aquila, Piazzale Salvatore Tommasi 1, 67100 L’Aquila, Italy; (B.C.); (E.D.C.)
| | - Carlo Masciocchi
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, 67100 L’Aquila, Italy; (A.I.); (C.A.); (F.S.); (A.S.); (F.M.); (C.M.)
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Schmidt G, Koch C, Wolff M, Sander M. Severe COVID-19 acute respiratory distress syndrome in an adult with single-ventricle physiology: a case report. BMC Anesthesiol 2021; 21:280. [PMID: 34773980 PMCID: PMC8589629 DOI: 10.1186/s12871-021-01504-5] [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: 05/05/2021] [Accepted: 11/03/2021] [Indexed: 11/14/2022] Open
Abstract
Background COVID-19 can induce acute respiratory distress syndrome (ARDS). In patients with congenital heart disease, established treatment strategies are often limited due to their unique cardiovascular anatomy and passive pulmonary perfusion. Case presentation We report the first case of an adult with single-ventricle physiology and bidirectional cavopulmonary shunt who suffered from severe COVID-19 ARDS. Treatment strategies were successfully adopted, and pulmonary vascular resistance was reduced, both medically and through prone positioning, leading to a favorable outcome. Conclusion ARDS treatment strategies including ventilatory settings, prone positioning therapy and cannulation techniques for extracorporeal oxygenation must be adopted carefully considering the passive venous return in patients with single-ventricle physiology.
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Affiliation(s)
- Götz Schmidt
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Justus Liebig University of Giessen, Rudolf-Buchheim-Strasse 7, 35392, Giessen, Germany.
| | - Christian Koch
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Justus Liebig University of Giessen, Rudolf-Buchheim-Strasse 7, 35392, Giessen, Germany
| | - Matthias Wolff
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Justus Liebig University of Giessen, Rudolf-Buchheim-Strasse 7, 35392, Giessen, Germany
| | - Michael Sander
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Justus Liebig University of Giessen, Rudolf-Buchheim-Strasse 7, 35392, Giessen, Germany
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Gattinoni L, Busana M, Camporota L. Standardised PaO 2/FiO 2 ratio in COVID-19: Added value or risky assumptions? Eur J Intern Med 2021; 92:31-33. [PMID: 34526222 PMCID: PMC8426259 DOI: 10.1016/j.ejim.2021.09.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/05/2021] [Indexed: 02/07/2023]
Affiliation(s)
- Luciano Gattinoni
- Department of Anesthesiology, Emergency and Intensive Care Medicine, University of Göttingen, Robert-Koch-Straße 40, Göttingen 37075, Germany.
| | - Mattia Busana
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, and Division of Asthma, Allergy and Lung Biology, King's College London, London, UK
| | - Luigi Camporota
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, and Division of Asthma, Allergy and Lung Biology, King's College London, London, UK
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40
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Busana M, Giosa L. The knowns and unknowns of perfusion disturbances in COVID-19 pneumonia. Crit Care 2021; 25:352. [PMID: 34583761 PMCID: PMC8476978 DOI: 10.1186/s13054-021-03742-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 11/10/2022] Open
Affiliation(s)
- Mattia Busana
- Department of Anesthesiology, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany.
| | - Lorenzo Giosa
- Department of Surgical Sciences, University of Turin, Turin, Italy
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Cronin JN, Camporota L, Formenti F. Mechanical ventilation in COVID-19: A physiological perspective. Exp Physiol 2021; 107:683-693. [PMID: 34541721 PMCID: PMC8667647 DOI: 10.1113/ep089400] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 08/24/2021] [Indexed: 12/13/2022]
Abstract
New Findings
What is the topic of this review? This review presents the fundamental concepts of respiratory physiology and pathophysiology, with particular reference to lung mechanics and the pulmonary phenotype associated with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection and subsequent coronavirus disease 2019 (COVID‐19) pneumonia. What advances does it highlight? The review provides a critical summary of the main physiological aspects to be considered for safe and effective mechanical ventilation in patients with severe COVID‐19 in the intensive care unit. Abstract Severe respiratory failure from coronavirus disease 2019 (COVID‐19) pneumonia not responding to non‐invasive respiratory support requires mechanical ventilation. Although ventilation can be a life‐saving therapy, it can cause further lung injury if airway pressure and flow and their timing are not tailored to the respiratory system mechanics of the individual patient. The pathophysiology of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection can lead to a pattern of lung injury in patients with severe COVID‐19 pneumonia typically associated with two distinct phenotypes, along a temporal and pathophysiological continuum, characterized by different levels of elastance, ventilation‐to‐perfusion ratio, right‐to‐left shunt, lung weight and recruitability. Understanding the underlying pathophysiology, duration of symptoms, radiological characteristics and lung mechanics at the individual patient level is crucial for the appropriate choice of mechanical ventilation settings to optimize gas exchange and prevent further lung injury. By critical analysis of the literature, we propose fundamental physiological and mechanical criteria for the selection of ventilation settings for COVID‐19 patients in intensive care units. In particular, the choice of tidal volume should be based on obtaining a driving pressure < 14 cmH2O, ensuring the avoidance of hypoventilation in patients with preserved compliance and of excessive strain in patients with smaller lung volumes and lower lung compliance. The level of positive end‐expiratory pressure (PEEP) should be informed by the measurement of the potential for lung recruitability, where patients with greater recruitability potential may benefit from higher PEEP levels. Prone positioning is often beneficial and should be considered early. The rationale for the proposed mechanical ventilation settings criteria is presented and discussed.
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Affiliation(s)
- John N Cronin
- Centre for Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, King's College London, London, UK.,Department of Anaesthetics, Royal Brompton and Harefield, part of Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Luigi Camporota
- Centre for Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, King's College London, London, UK.,Intensive Care Unit, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Federico Formenti
- Centre for Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, King's College London, London, UK.,Nuffield Division of Anaesthetics, University of Oxford, Oxford, UK.,Department of Biomechanics, University of Nebraska Omaha, Omaha, Nebraska, USA
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Coppola S, Chiumello D, Busana M, Giola E, Palermo P, Pozzi T, Steinberg I, Roli S, Romitti F, Lazzari S, Gattarello S, Palumbo M, Herrmann P, Saager L, Quintel M, Meissner K, Camporota L, Marini JJ, Centanni S, Gattinoni L. Role of total lung stress on the progression of early COVID-19 pneumonia. Intensive Care Med 2021; 47:1130-1139. [PMID: 34529118 PMCID: PMC8444534 DOI: 10.1007/s00134-021-06519-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/27/2021] [Indexed: 01/20/2023]
Abstract
Purpose We investigated if the stress applied to the lung during non-invasive respiratory support may contribute to the coronavirus disease 2019 (COVID-19) progression. Methods Single-center, prospective, cohort study of 140 consecutive COVID-19 pneumonia patients treated in high-dependency unit with continuous positive airway pressure (n = 131) or non-invasive ventilation (n = 9). We measured quantitative lung computed tomography, esophageal pressure swings and total lung stress. Results Patients were divided in five subgroups based on their baseline PaO2/FiO2 (day 1): non-CARDS (median PaO2/FiO2 361 mmHg, IQR [323–379]), mild (224 mmHg [211–249]), mild-moderate (173 mmHg [164–185]), moderate-severe (126 mmHg [114–138]) and severe (88 mmHg [86–99], p < 0.001). Each subgroup had similar median lung weight: 1215 g [1083–1294], 1153 [888–1321], 968 [858–1253], 1060 [869–1269], and 1127 [937–1193] (p = 0.37). They also had similar non-aerated tissue fraction: 10.4% [5.9–13.7], 9.6 [7.1–15.8], 9.4 [5.8–16.7], 8.4 [6.7–12.3] and 9.4 [5.9–13.8], respectively (p = 0.85). Treatment failure of CPAP/NIV occurred in 34 patients (24.3%). Only three variables, at day one, distinguished patients with negative outcome: PaO2/FiO2 ratio (OR 0.99 [0.98–0.99], p = 0.02), esophageal pressure swing (OR 1.13 [1.01–1.27], p = 0.032) and total stress (OR 1.17 [1.06–1.31], p = 0.004). When these three variables were evaluated together in a multivariate logistic regression analysis, only the total stress was independently associated with negative outcome (OR 1.16 [1.01–1.33], p = 0.032). Conclusions In early COVID-19 pneumonia, hypoxemia is not linked to computed tomography (CT) pathoanatomy, differently from typical ARDS. High lung stress was independently associated with the failure of non-invasive respiratory support. Supplementary Information The online version contains supplementary material available at 10.1007/s00134-021-06519-7.
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Affiliation(s)
- Silvia Coppola
- Department of Anesthesiology and Intensive Care, ASST Santi e Paolo Hospital, University of Milan, Milan, Italy
| | - Davide Chiumello
- Department of Anesthesiology and Intensive Care, ASST Santi e Paolo Hospital, University of Milan, Milan, Italy
| | - Mattia Busana
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Emanuele Giola
- Department of Anesthesiology and Intensive Care, ASST Santi e Paolo Hospital, University of Milan, Milan, Italy
| | - Paola Palermo
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Tommaso Pozzi
- Department of Anesthesiology and Intensive Care, ASST Santi e Paolo Hospital, University of Milan, Milan, Italy
| | - Irene Steinberg
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Stefano Roli
- Department of Anesthesiology and Intensive Care, ASST Santi e Paolo Hospital, University of Milan, Milan, Italy
| | - Federica Romitti
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Stefano Lazzari
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Simone Gattarello
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Michela Palumbo
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Peter Herrmann
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Leif Saager
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Michael Quintel
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
- Department of Anesthesiology, Intensive Care and Emergency Medicine Donau-Isar-Klinikum Deggendorf, Deggendorf, Germany
| | - Konrad Meissner
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany
| | - Luigi Camporota
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, Health Centre for Human and Applied Physiological Sciences, London, UK
| | - John J Marini
- Department of Pulmonary and Critical Care Medicine, University of Minnesota and Regions Hospital, St. Paul, MN, USA
| | - Stefano Centanni
- Respiratory Unit, San Paolo Hospital, Dipartimento Scienze della Salute, Università degli Studi di Milano, Milan, Italy
| | - Luciano Gattinoni
- Department of Anesthesiology, Medical University of Göttingen, University Medical Center Göttingen, Robert Koch Straße 40, 37075, Göttingen, Germany.
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Battaglini D, Robba C, Ball L, Silva PL, Cruz FF, Pelosi P, Rocco PRM. Noninvasive respiratory support and patient self-inflicted lung injury in COVID-19: a narrative review. Br J Anaesth 2021; 127:353-364. [PMID: 34217468 PMCID: PMC8173496 DOI: 10.1016/j.bja.2021.05.024] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/17/2021] [Accepted: 05/16/2021] [Indexed: 12/20/2022] Open
Abstract
COVID-19 pneumonia is associated with hypoxaemic respiratory failure, ranging from mild to severe. Because of the worldwide shortage of ICU beds, a relatively high number of patients with respiratory failure are receiving prolonged noninvasive respiratory support, even when their clinical status would have required invasive mechanical ventilation. There are few experimental and clinical data reporting that vigorous breathing effort during spontaneous ventilation can worsen lung injury and cause a phenomenon that has been termed patient self-inflicted lung injury (P-SILI). The aim of this narrative review is to provide an overview of P-SILI pathophysiology and the role of noninvasive respiratory support in COVID-19 pneumonia. Respiratory mechanics, vascular compromise, viscoelastic properties, lung inhomogeneity, work of breathing, and oesophageal pressure swings are discussed. The concept of P-SILI has been widely investigated in recent years, but controversies persist regarding its mechanisms. To minimise the risk of P-SILI, intensivists should better understand its underlying pathophysiology to optimise the type of noninvasive respiratory support provided to patients with COVID-19 pneumonia, and decide on the optimal timing of intubation for these patients.
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Affiliation(s)
- Denise Battaglini
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Chiara Robba
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
| | - Lorenzo Ball
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
| | - Pedro L Silva
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil; COVID-19 Virus Network, Ministry of Science, Technology, and Innovation, Brasilia, Brazil
| | - Fernanda F Cruz
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil; COVID-19 Virus Network, Ministry of Science, Technology, and Innovation, Brasilia, Brazil
| | - Paolo Pelosi
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
| | - Patricia R M Rocco
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil; COVID-19 Virus Network, Ministry of Science, Technology, and Innovation, Brasilia, Brazil.
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Busana M. Reply to Xu et al. J Appl Physiol (1985) 2021; 131:870. [PMID: 34397291 PMCID: PMC8384566 DOI: 10.1152/japplphysiol.00480.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 07/14/2021] [Indexed: 11/22/2022] Open
Affiliation(s)
- Mattia Busana
- Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
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45
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Xu H, Petousi N, Robbins PA. Ventilation-perfusion inequality in COVID-19 pneumonia. J Appl Physiol (1985) 2021; 131:868-869. [PMID: 34397292 PMCID: PMC8384567 DOI: 10.1152/japplphysiol.00388.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Haopeng Xu
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Nayia Petousi
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Peter A Robbins
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
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46
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Bajc M, Hedeer F, Lindqvist A, Trägårdh E. Assessment of Ventilation and Perfusion in Patients with COVID-19 Discloses Unique Information of Pulmonary Function to a Clinician: Case Reports of V/P SPECT. CLINICAL MEDICINE INSIGHTS-CIRCULATORY RESPIRATORY AND PULMONARY MEDICINE 2021; 15:11795484211030159. [PMID: 34349582 PMCID: PMC8295940 DOI: 10.1177/11795484211030159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 06/14/2021] [Indexed: 01/08/2023]
Abstract
V/P SPECT from 4 consecutive patients with COVID-19 suggests that ventilation and perfusion images may be applied to diagnose or exclude pulmonary embolism, verify nonsegmental diversion of perfusion from the ventilated areas (dead space ventilation) that may represent inflammation of the pulmonary vasculature, detect the reversed mismatch of poor ventilation and better preserved perfusion (shunt perfusion) in bilateral pulmonary inflammation and indicate redistribution of lung perfusion (antigravitational hyperperfusion) due to cardiac congestion. V/P mismatch and reversed mismatch may be extensive enough to diminish dramatically preserved matching ventilation/perfusion and to induce severe hypoxemia in COVID-19.
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Affiliation(s)
- Marika Bajc
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital Lund, 22185, Lund, Sweden
| | - Fredrik Hedeer
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital Lund, 22185, Lund, Sweden
| | - Ari Lindqvist
- Research Unit of Pulmonary Diseases, Clinical Research Institute HUCH Ltd., Helsinki University Hospital HUS and Helsinki University, Helsinki, Finland
| | - Elin Trägårdh
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital Malmö, Lund University, Lund, Sweden
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47
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Ball L, Robba C, Herrmann J, Gerard SE, Xin Y, Mandelli M, Battaglini D, Brunetti I, Minetti G, Seitun S, Bovio G, Vena A, Giacobbe DR, Bassetti M, Rocco PRM, Cereda M, Rizi RR, Castellan L, Patroniti N, Pelosi P. Lung distribution of gas and blood volume in critically ill COVID-19 patients: a quantitative dual-energy computed tomography study. Crit Care 2021; 25:214. [PMID: 34154635 PMCID: PMC8215486 DOI: 10.1186/s13054-021-03610-9] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 05/19/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Critically ill COVID-19 patients have pathophysiological lung features characterized by perfusion abnormalities. However, to date no study has evaluated whether the changes in the distribution of pulmonary gas and blood volume are associated with the severity of gas-exchange impairment and the type of respiratory support (non-invasive versus invasive) in patients with severe COVID-19 pneumonia. METHODS This was a single-center, retrospective cohort study conducted in a tertiary care hospital in Northern Italy during the first pandemic wave. Pulmonary gas and blood distribution was assessed using a technique for quantitative analysis of dual-energy computed tomography. Lung aeration loss (reflected by percentage of normally aerated lung tissue) and the extent of gas:blood volume mismatch (percentage of non-aerated, perfused lung tissue-shunt; aerated, non-perfused dead space; and non-aerated/non-perfused regions) were evaluated in critically ill COVID-19 patients with different clinical severity as reflected by the need for non-invasive or invasive respiratory support. RESULTS Thirty-five patients admitted to the intensive care unit between February 29th and May 30th, 2020 were included. Patients requiring invasive versus non-invasive mechanical ventilation had both a lower percentage of normally aerated lung tissue (median [interquartile range] 33% [24-49%] vs. 63% [44-68%], p < 0.001); and a larger extent of gas:blood volume mismatch (43% [30-49%] vs. 25% [14-28%], p = 0.001), due to higher shunt (23% [15-32%] vs. 5% [2-16%], p = 0.001) and non-aerated/non perfused regions (5% [3-10%] vs. 1% [0-2%], p = 0.001). The PaO2/FiO2 ratio correlated positively with normally aerated tissue (ρ = 0.730, p < 0.001) and negatively with the extent of gas-blood volume mismatch (ρ = - 0.633, p < 0.001). CONCLUSIONS In critically ill patients with severe COVID-19 pneumonia, the need for invasive mechanical ventilation and oxygenation impairment were associated with loss of aeration and the extent of gas:blood volume mismatch.
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Affiliation(s)
- Lorenzo Ball
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy.
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
| | - Chiara Robba
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Jacob Herrmann
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Sarah E Gerard
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | - Yi Xin
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Maura Mandelli
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Denise Battaglini
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Iole Brunetti
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Giuseppe Minetti
- Oncology and Interventional Radiology Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Sara Seitun
- Oncology and Interventional Radiology Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Giulio Bovio
- Oncology and Interventional Radiology Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Antonio Vena
- Infectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Daniele Roberto Giacobbe
- Infectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Matteo Bassetti
- Infectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Patricia R M Rocco
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Maurizio Cereda
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rahim R Rizi
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lucio Castellan
- Radiology Department, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Nicolò Patroniti
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
| | - Paolo Pelosi
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy
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48
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Busana M, Gasperetti A, Giosa L, Forleo GB, Schiavone M, Mitacchione G, Bonino C, Villa P, Galli M, Tondo C, Saguner A, Steiger P, Curnis A, Dello Russo A, Pugliese F, Mancone M, Marini JJ, Gattinoni L. Prevalence and outcome of silent hypoxemia in COVID-19. Minerva Anestesiol 2021; 87:325-333. [PMID: 33694360 DOI: 10.23736/s0375-9393.21.15245-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND In the early stages of COVID-19 pneumonia, hypoxemia has been described in absence of dyspnea ("silent" or "happy" hypoxemia). Our aim was to report its prevalence and outcome in a series of hypoxemic patients upon Emergency Department admission. METHODS In this retrospective observational cohort study we enrolled a study population consisting of 213 COVID-19 patients with PaO<inf>2</inf>/FiO<inf>2</inf> ratio <300 mmHg at hospital admission. Two groups (silent and dyspneic hypoxemia) were defined. Symptoms, blood gas analysis, chest X-ray (CXR) severity, need for intensive care and outcome were recorded. RESULTS Silent hypoxemic patients (68-31.9%) compared to the dyspneic hypoxemic patients (145-68.1%) showed greater frequency of extra respiratory symptoms (myalgia, diarrhea and nausea) and lower plasmatic LDH. PaO<inf>2</inf>/FiO<inf>2</inf> ratio was 225±68 mmHg and 192±78 mmHg in silent and dyspneic hypoxemia respectively (P=0.002). Eighteen percent of the patients with PaO<inf>2</inf>/FiO<inf>2</inf> from 50 to 150 mmHg presented silent hypoxemia. Silent and dyspneic hypoxemic patients had similar PaCO<inf>2</inf> (34.2±6.8 mmHg vs. 33.5±5.7 mmHg, P=0.47) but different respiratory rates (24.6±5.9 bpm vs. 28.6±11.3 bpm respectively, P=0.002). Even when CXR was severely abnormal, 25% of the population was silent hypoxemic. Twenty-six point five percent and 38.6% of silent and dyspneic patients were admitted to the ICU respectively (P=0.082). Mortality rate was 17.6% and 29.7% (log-rank P=0.083) in silent and dyspneic patients. CONCLUSIONS Silent hypoxemia is remarkably present in COVID-19. The presence of dyspnea is associated with a more severe clinical condition.
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Affiliation(s)
- Mattia Busana
- Department of Anesthesiology, Intensive Care and Emergency Medicine, Medical University of Göttingen, Göttingen, Germany -
| | | | - Lorenzo Giosa
- Department of Surgical Sciences, Città della Salute e della Scienza, Turin, Italy
| | | | | | | | | | | | | | | | | | | | - Antonio Curnis
- Spedali Civili Hospital, University of Brescia, Brescia, Italy
| | - Antonio Dello Russo
- Clinic of Cardiology and Arithmology, Department of Biomedical Sciences and Public Health, Umberto I-Lancisi-Salesi University Hospital, Marche Polytechnic University, Ancona, Italy
| | - Francesco Pugliese
- Department of General Surgery, Paride Stefanini Surgical Specialties, Sapienza University, Rome, Italy
| | - Massimo Mancone
- Department of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University, Rome, Italy
| | - John J Marini
- Department of Pulmonary and Critical Care Medicine, University of Minnesota and Regions Hospital, Minneapolis, MN, USA
| | - Luciano Gattinoni
- Department of Anesthesiology, Intensive Care and Emergency Medicine, Medical University of Göttingen, Göttingen, Germany
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