Outcomes of Patients With Coronavirus Disease 2019 Receiving Organ Support Therapies: The International Viral Infection and Respiratory Illness Universal Study Registry.
Adult
Aged
COVID-19
/ therapy
Critical Care Outcomes
Extracorporeal Membrane Oxygenation
Female
Hospital Mortality
Hospitalization
Humans
Length of Stay
/ statistics & numerical data
Male
Middle Aged
Patient Discharge
/ statistics & numerical data
Registries
Renal Replacement Therapy
Respiration, Artificial
Vasoconstrictor Agents
Journal
Critical care medicine
ISSN: 1530-0293
Titre abrégé: Crit Care Med
Pays: United States
ID NLM: 0355501
Informations de publication
Date de publication:
01 03 2021
01 03 2021
Historique:
pubmed:
9
2
2021
medline:
5
3
2021
entrez:
8
2
2021
Statut:
ppublish
Résumé
To describe the outcomes of hospitalized patients in a multicenter, international coronavirus disease 2019 registry. Cross-sectional observational study including coronavirus disease 2019 patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus-2 infection between February 15, 2020, and November 30, 2020, according to age and type of organ support therapies. About 168 hospitals in 16 countries within the Society of Critical Care Medicine's Discovery Viral Infection and Respiratory Illness University Study coronavirus disease 2019 registry. Adult hospitalized coronavirus disease 2019 patients who did and did not require various types and combinations of organ support (mechanical ventilation, renal replacement therapy, vasopressors, and extracorporeal membrane oxygenation). None. Primary outcome was hospital mortality. Secondary outcomes were discharge home with or without assistance and hospital length of stay. Risk-adjusted variation in hospital mortality for patients receiving invasive mechanical ventilation was assessed by using multilevel models with hospitals as a random effect, adjusted for age, race/ethnicity, sex, and comorbidities. Among 20,608 patients with coronavirus disease 2019, the mean (± sd) age was 60.5 (±17), 11,1887 (54.3%) were men, 8,745 (42.4%) were admitted to the ICU, and 3,906 (19%) died in the hospital. Hospital mortality was 8.2% for patients receiving no organ support (n = 15,001). The most common organ support therapy was invasive mechanical ventilation (n = 5,005; 24.3%), with a hospital mortality of 49.8%. Mortality ranged from 40.8% among patients receiving only invasive mechanical ventilation (n =1,749) to 71.6% for patients receiving invasive mechanical ventilation, vasoactive drugs, and new renal replacement therapy (n = 655). Mortality was 39% for patients receiving extracorporeal membrane oxygenation (n = 389). Rates of discharge home ranged from 73.5% for patients who did not require organ support therapies to 29.8% for patients who only received invasive mechanical ventilation, and 8.8% for invasive mechanical ventilation, vasoactive drugs, and renal replacement; 10.8% of patients older than 74 years who received invasive mechanical ventilation were discharged home. Median hospital length of stay for patients on mechanical ventilation was 17.1 days (9.7-28 d). Adjusted interhospital variation in mortality among patients receiving invasive mechanical ventilation was large (median odds ratio 1.69). Coronavirus disease 2019 prognosis varies by age and level of organ support. Interhospital variation in mortality of mechanically ventilated patients was not explained by patient characteristics and requires further evaluation.
Identifiants
pubmed: 33555777
pii: 00003246-202103000-00005
doi: 10.1097/CCM.0000000000004879
pmc: PMC9520995
mid: NIHMS1798098
doi:
Substances chimiques
Vasoconstrictor Agents
0
Banques de données
ClinicalTrials.gov
['NCT04323787']
Types de publication
Journal Article
Multicenter Study
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
437-448Subventions
Organisme : NHLBI NIH HHS
ID : UH3 HL141722
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL130881
Pays : United States
Organisme : AHRQ HHS
ID : R18 HS026609
Pays : United States
Organisme : NHLBI NIH HHS
ID : R00 HL141678
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL136660
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM104940
Pays : United States
Organisme : NHLBI NIH HHS
ID : U54 HL119145
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL139751
Pays : United States
Organisme : AHRQ HHS
ID : R01 HS026485
Pays : United States
Organisme : NIBIB NIH HHS
ID : U54 EB027690
Pays : United States
Organisme : NHLBI NIH HHS
ID : U54 HL143541
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL151607
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM104323
Pays : United States
Organisme : NIH HHS
ID : OT2 OD026551
Pays : United States
Commentaires et corrections
Type : ErratumIn
Informations de copyright
Copyright © 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.
Déclaration de conflit d'intérêts
Drs. Kumar’s, Denson’s, Walkey’s, and Kashyap’s institutions received funding from the Gordon and Betty Moore Foundation. Drs. Kumar’s and Kashyap’s institutions received funding from Janssen Research & Development, LLC. Drs. Kaufman’s and Denson’s institutions received funding from the Society of Critical Care Medicine. Dr. Banner-Goodspeed received partial salary support through her home institution from multiple federal research grants (including from the National Institutes of Health [NIH] and Department of Defense) as key personnel, not the principal investigator. Dr. Anderson III disclosed he is an Advisory Board member for Gift of Life Michigan. Dr. Denson received other support from American Diabetes Association Grant #7-20-COVID-53. Dr. Gajic received support for article research from Gordon and Betty Moore Foundation. Dr. Walkey receives funding from the NIH/National Heart, Lung and Blood Institute grants R01HL151607, R01HL139751, and R01HL136660, Agency of Healthcare Research and Quality, R01HS026485, Boston Biomedical Innovation Center/NIH/NHLBI 5U54HL119145-07, and royalties from UptoDate. They had no influence on acquisition, analysis, interpretation, and reporting of pooled data for this article. Dr. Harhay’s institution receives funding from the NIH/National Heart, Lung and Blood Institute grant R00 HL141678, and he received support for article research from the NIH. They had no influence on acquisition, analysis, interpretation, and reporting of pooled data for this article. Dr. Gajic receives funding from the Agency of Healthcare Research and Quality R18HS 26609-2, NIH/National Heart, Lung and Blood Institute: R01HL 130881 and UG3/UH3HL 141722; Department of Defense W81XWH; American Heart Association Rapid Response Grant—coronavirus disease 2019 (COVID-19); and royalties from Ambient Clinical Analytics. They had no influence on acquisition, analysis, interpretation, and reporting of pooled data for this article. Dr. Kashyap receives funding from the NIH/National Heart, Lung and Blood Institute: R01HL 130881 and UG3/UH3HL 141722; Gordon and Betty Moore Foundation, and Janssen Research & Development, LLC; and royalties from Ambient Clinical Analytics. They had no influence on acquisition, analysis, interpretation, and reporting of pooled data for this article. Dr. St. Hill receives funding from the Minnesota Department of Health. They had no influence on acquisition, analysis, interpretation, and reporting of pooled data for this article. Dr. Denson receives funding for COVID-19 research from the American Diabetes Association grant #7-20-COVID-053, Centers for Disease Control and Prevention BroadAgency Announcement 75D301-20-R-67897, and National Institute of General Medical Sciences/NIH award U54 GM104940, which funds the Louisiana Clinical and Translational Science Center. They had no influence on acquisition, analysis, interpretation, and reporting of pooled data for this article. Dr. Martin receives funding from the Biomedical Advanced Research and Development Authority and NIH through the National Institute of Biomedical Imaging and Bioengineering U54 EB-027690, the National Heart, Lung and Blood Institute: U54 HL-143541-02S2, the National Institute for General Medical Sciences R01 GM-104323, and the Office of the Director OT2 OD-026551; as well as funding from Genentech for clinical trial monitoring. They had no influence on acquisition, analysis, interpretation, and reporting of pooled data for this article. The remaining authors have disclosed that they do not have any potential conflicts of interest.
Références
Johns Hopkins University. Coronavirus Resource Center. 2020. Available at: https://coronavirus.jhu.edu/map.html . Accessed January 13, 2020
Bhatraju PK, Ghassemieh BJ, Nichols M, et al. Covid-19 in critically ill patients in the Seattle region - case series. N Engl J Med. 2020; 382:2012–2022
Gudbjartsson DF, Helgason A, Jonsson H, et al. Spread of SARS-CoV-2 in the Icelandic population. N Engl J Med. 2020; 382:2302–2315
Epidemiology Working Group for NCIP Epidemic Response; Chinese Center for Disease Control Prevention. [The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China]. Zhonghua Liu Xing Bing Xue Za Zhi. 2020; 41:145–151
Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. Lancet. 2020; 395:1054–1062
Ñamendys-Silva SA, Gutiérrez-Villaseñor A, Romero-González JP. Hospital mortality in mechanically ventilated COVID-19 patients in Mexico. Intensive Care Med. 2020; 46:2086–2088
Grasselli G, Greco M, Zanella A, et al. Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy. JAMA Intern Med. 2020; 180:1345–1355
Roedl K, Jarczak D, Thasler L, et al. Mechanical ventilation and mortality among 223 critically ill patients with coronavirus disease 2019: A multicentric study in Germany. Aust Crit Care. 2020 Oct 27. [online ahead of print]
Auld SC, Caridi-Scheible M, Blum JM, et al.; Emory COVID-19 Quality and Clinical Research Collaborative. ICU and ventilator mortality among critically ill adults with coronavirus disease 2019. Crit Care Med. 2020; 48:e799–e804
Grasselli G, Zangrillo A, Zanella A, et al.; COVID-19 Lombardy ICU Network. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, Italy. JAMA. 2020; 323:1574–1581
Walkey AJ, Kumar VK, Harhay MO, et al. The Viral Infection and Respiratory Illness Universal Study (VIRUS): An International Registry of Coronavirus 2019-related critical illness. Crit Care Explor. 2020; 2:e0113
World Health Organization. Global COVID-19 clinical platform: Case report form for suspected cases of multisystem inflammatory syndrome (MIS) in children and adolescents temporally related to COVID-19. 2020. Available at: https://apps.who.int/iris/handle/10665/332121 . Accessed June 2, 2020
Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009; 42:377–381
Walkey AJ, Sheldrick RC, Kashyap R, et al. Guiding principles for the conduct of observational critical care research for coronavirus disease 2019 pandemics and beyond: The Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study Registry. Crit Care Med. 2020; 48:e1038–e1044
Gallo Marin B, Aghagoli G, Lavine K, et al. Predictors of COVID-19 severity: A literature review. Rev Med Virol. 2020 Sep 9. [online ahead of print]
Merlo J, Chaix B, Ohlsson H, et al. A brief conceptual tutorial of multilevel analysis in social epidemiology: Using measures of clustering in multilevel logistic regression to investigate contextual phenomena. J Epidemiol Community Health. 2006; 60:290–297
Guan WJ, Ni ZY, Hu Y, et al.; China Medical Treatment Expert Group for Covid-19. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020; 382:1708–1720
Karagiannidis C, Mostert C, Hentschker C, et al. Case characteristics, resource use, and outcomes of 10 021 patients with COVID-19 admitted to 920 German hospitals: An observational study. Lancet Respir Med. 2020; 8:853–862
Richardson S, Hirsch JS, Narasimhan M, et al.; the Northwell COVID-19 Research Consortium. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area. JAMA. 2020; 323:2052–2059
Wendel Garcia PD, Fumeaux T, Guerci P, et al.; RISC-19-ICU Investigators. Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: Initial report of the international RISC-19-ICU prospective observational cohort. EClinicalMedicine. 2020; 25:100449
Gupta S, Hayek SS, Wang W, et al. Factors associated with death in critically ill patients with coronavirus disease 2019 in the US. JAMA Intern Med. 2020; 180:1–12
Xie J, Wu W, Li S, et al. Clinical characteristics and outcomes of critically ill patients with novel coronavirus infectious disease (COVID-19) in China: A retrospective multicenter study. Intensive Care Med. 2020; 46:1863–1872
Contou D, Pajot O, Cally R, et al. Pulmonary embolism or thrombosis in ARDS COVID-19 patients: A French monocenter retrospective study. PLoS One. 2020; 15:e0238413
Hua J, Qian C, Luo Z, et al. Invasive mechanical ventilation in COVID-19 patient management: The experience with 469 patients in Wuhan. Crit Care. 2020; 24:348
Wilbers TJ, Koning MV. Renal replacement therapy in critically ill patients with COVID-19: A retrospective study investigating mortality, renal recovery and filter lifetime. J Crit Care. 2020; 60:103–105
Sterne JAC, Murthy S, Diaz JV, et al.; WHO Rapid Evidence Appraisal for COVID-19 Therapies Working Group. Association between administration of systemic corticosteroids and mortality among critically ill patients with COVID-19: A meta-analysis. JAMA. 2020; 324:1330–1341
Fried MW, Crawford JM, Mospan AR, et al. Patient characteristics and outcomes of 11,721 patients with COVID-19 hospitalized across the United States. Clin Infect Dis. 2020 Aug 28. [online ahead of print]
Khafaie MA, Rahim F. Cross-country comparison of case fatality rates of COVID-19/SARS-COV-2. Osong Public Health Res Perspect. 2020; 11:74–80
Laffey JG, Bellani G, Pham T, et al.; LUNG SAFE Investigators and the ESICM Trials Group. Potentially modifiable factors contributing to outcome from acute respiratory distress syndrome: The LUNG SAFE study. Intensive Care Med. 2016; 42:1865–1876
Qian Z, Alaa AM, van der Schaar M, et al. Between-centre differences for COVID-19 ICU mortality from early data in England. Intensive Care Med. 2020; 46:1779–1780
Azoulay E, de Waele J, Ferrer R, et al. International variation in the management of severe COVID-19 patients. Crit Care. 2020; 24:486
Seymour CW, Iwashyna TJ, Ehlenbach WJ, et al. Hospital-level variation in the use of intensive care. Health Serv Res. 2012; 47:2060–2080
Gabler NB, Ratcliffe SJ, Wagner J, et al. Mortality among patients admitted to strained intensive care units. Am J Respir Crit Care Med. 2013; 188:800–806