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Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts

IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic has placed unprecedented stress on health systems across the world, and reliable estimates of risk for adverse hospital outcomes are needed. OBJECTIVE: To quantify admission laboratory and comorbidity features associated with critical illn...

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Autores principales: Castro, Victor M., McCoy, Thomas H., Perlis, Roy H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457625/
https://www.ncbi.nlm.nih.gov/pubmed/32869044
http://dx.doi.org/10.1101/2020.05.04.20090555
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author Castro, Victor M.
McCoy, Thomas H.
Perlis, Roy H.
author_facet Castro, Victor M.
McCoy, Thomas H.
Perlis, Roy H.
author_sort Castro, Victor M.
collection PubMed
description IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic has placed unprecedented stress on health systems across the world, and reliable estimates of risk for adverse hospital outcomes are needed. OBJECTIVE: To quantify admission laboratory and comorbidity features associated with critical illness and mortality risk across 6 Eastern Massachusetts hospitals. DESIGN: Retrospective cohort study using hospital course, prior diagnoses, and laboratory values. SETTING: Emergency department and inpatient settings from 2 academic medical centers and 4 community hospitals. PARTICIPANTS: All individuals with hospital admission and positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by PCR testing across these 6 hospitals through June 5, 2020. EXPOSURE: Coronavirus 2 (SARS-CoV-2). MAIN OUTCOME MEASURES: Severe illness defined by ICU admission, mechanical ventilation, or death. RESULTS: Among 2,511 hospitalized individuals who tested positive for SARS-CoV-2 (of whom 50.9% were male, 53.9% white, and 27.0% Hispanic, with mean age 62.6 years), 215 (8.6%) were admitted to the ICU, 164 (6.5%) required mechanical ventilation, and 292 (11.6%) died. L1-regression models developed in 3 of these hospitals yielded area under ROC curve (AUC) of 0.807 for severe illness and 0.847 for mortality in the 3 held-out hospitals. In total, 212/292 (78%) of the deaths occurred in the highest-risk mortality quintile. CONCLUSIONS AND RELEVANCE: In this cohort, specific admission laboratory studies in concert with sociodemographic features and prior diagnosis facilitated risk stratification among individuals hospitalized for COVID-19. FUNDING: 1R56MH115187-01 TRIAL REGISTRATION: None
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spelling pubmed-74576252020-09-01 Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts Castro, Victor M. McCoy, Thomas H. Perlis, Roy H. medRxiv Article IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic has placed unprecedented stress on health systems across the world, and reliable estimates of risk for adverse hospital outcomes are needed. OBJECTIVE: To quantify admission laboratory and comorbidity features associated with critical illness and mortality risk across 6 Eastern Massachusetts hospitals. DESIGN: Retrospective cohort study using hospital course, prior diagnoses, and laboratory values. SETTING: Emergency department and inpatient settings from 2 academic medical centers and 4 community hospitals. PARTICIPANTS: All individuals with hospital admission and positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by PCR testing across these 6 hospitals through June 5, 2020. EXPOSURE: Coronavirus 2 (SARS-CoV-2). MAIN OUTCOME MEASURES: Severe illness defined by ICU admission, mechanical ventilation, or death. RESULTS: Among 2,511 hospitalized individuals who tested positive for SARS-CoV-2 (of whom 50.9% were male, 53.9% white, and 27.0% Hispanic, with mean age 62.6 years), 215 (8.6%) were admitted to the ICU, 164 (6.5%) required mechanical ventilation, and 292 (11.6%) died. L1-regression models developed in 3 of these hospitals yielded area under ROC curve (AUC) of 0.807 for severe illness and 0.847 for mortality in the 3 held-out hospitals. In total, 212/292 (78%) of the deaths occurred in the highest-risk mortality quintile. CONCLUSIONS AND RELEVANCE: In this cohort, specific admission laboratory studies in concert with sociodemographic features and prior diagnosis facilitated risk stratification among individuals hospitalized for COVID-19. FUNDING: 1R56MH115187-01 TRIAL REGISTRATION: None Cold Spring Harbor Laboratory 2020-08-28 /pmc/articles/PMC7457625/ /pubmed/32869044 http://dx.doi.org/10.1101/2020.05.04.20090555 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/It is made available under a CC-BY-NC-ND 4.0 International license (http://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Article
Castro, Victor M.
McCoy, Thomas H.
Perlis, Roy H.
Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts
title Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts
title_full Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts
title_fullStr Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts
title_full_unstemmed Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts
title_short Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts
title_sort laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in eastern massachusetts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457625/
https://www.ncbi.nlm.nih.gov/pubmed/32869044
http://dx.doi.org/10.1101/2020.05.04.20090555
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