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Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data
INTRODUCTION: Several aspects of the coronavirus disease 2019 (COVID-19) pandemic remain ambiguous, including its transmission, severity, geographic, and racial differences in mortality. These variations merit elaboration of local patterns to inform wider national policies. METHODS: In a retrospecti...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129688/ https://www.ncbi.nlm.nih.gov/pubmed/33762056 http://dx.doi.org/10.1017/dmp.2021.85 |
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author | Goel, Ashish Raizada, Alpana Agrawal, Ananya Bansal, Kamakshi Uniyal, Saurabh Prasad, Pratima Yadav, Anil Tyagi, Asha Rautela, RS |
author_facet | Goel, Ashish Raizada, Alpana Agrawal, Ananya Bansal, Kamakshi Uniyal, Saurabh Prasad, Pratima Yadav, Anil Tyagi, Asha Rautela, RS |
author_sort | Goel, Ashish |
collection | PubMed |
description | INTRODUCTION: Several aspects of the coronavirus disease 2019 (COVID-19) pandemic remain ambiguous, including its transmission, severity, geographic, and racial differences in mortality. These variations merit elaboration of local patterns to inform wider national policies. METHODS: In a retrospective analysis, data of patients treated at a dedicated COVID hospital with moderate and severe illness during 8 wk of the pandemic were reviewed with attention to mortality in a competing risks framework. RESULTS: A total of 1147 patients were hospitalized, and 312 (27.2%) died in hospital. Those who died were older (56.5 vs 47.6 y; P < 0.0001). Of these, 885 (77.2%) had tested positive on reverse transcriptase polymerase chain reaction (RT-PCR), with 219 (24.2%) deaths (incidence rate, 1.9 per 100 person-days). Median time from onset of symptoms to death was 11 days. A competing risks analysis for in-hospital death revealed an adjusted cause-specific hazard ratio of 1.4 for each decade increase in age. CONCLUSIONS: This retrospective analysis provides broad patterns of disease presentation and mortality. Even COVID test-negative patients will receive treatment at dedicated facilities, and 33% presenting cases may die within the first 72 h, most with comorbid illness. This should be considered while planning distribution of services for effective health-care delivery |
format | Online Article Text |
id | pubmed-8129688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81296882021-05-18 Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data Goel, Ashish Raizada, Alpana Agrawal, Ananya Bansal, Kamakshi Uniyal, Saurabh Prasad, Pratima Yadav, Anil Tyagi, Asha Rautela, RS Disaster Med Public Health Prep Original Research INTRODUCTION: Several aspects of the coronavirus disease 2019 (COVID-19) pandemic remain ambiguous, including its transmission, severity, geographic, and racial differences in mortality. These variations merit elaboration of local patterns to inform wider national policies. METHODS: In a retrospective analysis, data of patients treated at a dedicated COVID hospital with moderate and severe illness during 8 wk of the pandemic were reviewed with attention to mortality in a competing risks framework. RESULTS: A total of 1147 patients were hospitalized, and 312 (27.2%) died in hospital. Those who died were older (56.5 vs 47.6 y; P < 0.0001). Of these, 885 (77.2%) had tested positive on reverse transcriptase polymerase chain reaction (RT-PCR), with 219 (24.2%) deaths (incidence rate, 1.9 per 100 person-days). Median time from onset of symptoms to death was 11 days. A competing risks analysis for in-hospital death revealed an adjusted cause-specific hazard ratio of 1.4 for each decade increase in age. CONCLUSIONS: This retrospective analysis provides broad patterns of disease presentation and mortality. Even COVID test-negative patients will receive treatment at dedicated facilities, and 33% presenting cases may die within the first 72 h, most with comorbid illness. This should be considered while planning distribution of services for effective health-care delivery Cambridge University Press 2021-03-25 /pmc/articles/PMC8129688/ /pubmed/33762056 http://dx.doi.org/10.1017/dmp.2021.85 Text en © Society for Disaster Medicine and Public Health, Inc. 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Goel, Ashish Raizada, Alpana Agrawal, Ananya Bansal, Kamakshi Uniyal, Saurabh Prasad, Pratima Yadav, Anil Tyagi, Asha Rautela, RS Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data |
title | Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data |
title_full | Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data |
title_fullStr | Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data |
title_full_unstemmed | Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data |
title_short | Correlates of In-Hospital COVID-19 Deaths: A Competing Risks Survival Time Analysis of Retrospective Mortality Data |
title_sort | correlates of in-hospital covid-19 deaths: a competing risks survival time analysis of retrospective mortality data |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129688/ https://www.ncbi.nlm.nih.gov/pubmed/33762056 http://dx.doi.org/10.1017/dmp.2021.85 |
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