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Predictors of Mortality in COVID-19 Patients in Southern California – Retrospective Multicenter Study

Introduction The majority of patients infected with coronavirus disease 2019 (COVID-19) recover from the illness after suffering mild to moderate symptoms, while approximately 20% progress to severe or critical disease, which may result in death. Understanding the predictors of severe disease and mo...

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Autores principales: Umeh, Chukwuemeka, Maguwudze, Stella, Torbela, Adrian, Saigal, Shipra, Kaur, Harpreet, Kazourra, Shadi, Aseri, Mahendra, Gupta, Rakesh, Chaudhuri, Sumanta, Gupta, Rahul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525677/
https://www.ncbi.nlm.nih.gov/pubmed/34692345
http://dx.doi.org/10.7759/cureus.18137
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author Umeh, Chukwuemeka
Maguwudze, Stella
Torbela, Adrian
Saigal, Shipra
Kaur, Harpreet
Kazourra, Shadi
Aseri, Mahendra
Gupta, Rakesh
Chaudhuri, Sumanta
Gupta, Rahul
author_facet Umeh, Chukwuemeka
Maguwudze, Stella
Torbela, Adrian
Saigal, Shipra
Kaur, Harpreet
Kazourra, Shadi
Aseri, Mahendra
Gupta, Rakesh
Chaudhuri, Sumanta
Gupta, Rahul
author_sort Umeh, Chukwuemeka
collection PubMed
description Introduction The majority of patients infected with coronavirus disease 2019 (COVID-19) recover from the illness after suffering mild to moderate symptoms, while approximately 20% progress to severe or critical disease, which may result in death. Understanding the predictors of severe disease and mortality in COVID-19 patients will help to risk stratify patients and improve clinical decision making. US data to inform this understanding are, however, scarce. We studied predictors of COVID-19 mortality in a cohort of 1,116 hospitalized patients in Southern California in the United States. Methods We conducted a retrospective cohort study of COVID-19 patients admitted at two hospitals in Southern California United States between March 2020 and March 2021. Bivariate and multivariate analyses of the relationship between mortality and other variables such as demographics, comorbidities, and laboratory values were performed, with a p-value of 0.05 considered as significant. Results The analysis involved 1,116 COVID-19 patients, of which 51.5% were males and 48.5% were females. Of the 1,116 patients, 81.6% were whites, 7.2% were blacks, and 11.2% were other races. After adjusting for co-variables, age (p<0.001), admission to intensive care unit (p< 0.001), use of remdesivir (p=0.018), C-reactive protein (CRP) levels (p<0.001), and lactate dehydrogenase (LDH) levels (p=0.039) were independently associated with mortality in our study. Gender, race, body mass index, presence of co-morbidities such as diabetes and hypertension, and use of steroid, statin, calcium channel blockers, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers were not associated with mortality in the multivariate analysis. Conclusion In the cohort we studied, admission to intensive care unit was associated with decreased mortality while older age, use of remdesivir, and high levels of CRP and LDH were associated with increased mortality in COVID-19 patients.
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spelling pubmed-85256772021-10-22 Predictors of Mortality in COVID-19 Patients in Southern California – Retrospective Multicenter Study Umeh, Chukwuemeka Maguwudze, Stella Torbela, Adrian Saigal, Shipra Kaur, Harpreet Kazourra, Shadi Aseri, Mahendra Gupta, Rakesh Chaudhuri, Sumanta Gupta, Rahul Cureus Internal Medicine Introduction The majority of patients infected with coronavirus disease 2019 (COVID-19) recover from the illness after suffering mild to moderate symptoms, while approximately 20% progress to severe or critical disease, which may result in death. Understanding the predictors of severe disease and mortality in COVID-19 patients will help to risk stratify patients and improve clinical decision making. US data to inform this understanding are, however, scarce. We studied predictors of COVID-19 mortality in a cohort of 1,116 hospitalized patients in Southern California in the United States. Methods We conducted a retrospective cohort study of COVID-19 patients admitted at two hospitals in Southern California United States between March 2020 and March 2021. Bivariate and multivariate analyses of the relationship between mortality and other variables such as demographics, comorbidities, and laboratory values were performed, with a p-value of 0.05 considered as significant. Results The analysis involved 1,116 COVID-19 patients, of which 51.5% were males and 48.5% were females. Of the 1,116 patients, 81.6% were whites, 7.2% were blacks, and 11.2% were other races. After adjusting for co-variables, age (p<0.001), admission to intensive care unit (p< 0.001), use of remdesivir (p=0.018), C-reactive protein (CRP) levels (p<0.001), and lactate dehydrogenase (LDH) levels (p=0.039) were independently associated with mortality in our study. Gender, race, body mass index, presence of co-morbidities such as diabetes and hypertension, and use of steroid, statin, calcium channel blockers, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers were not associated with mortality in the multivariate analysis. Conclusion In the cohort we studied, admission to intensive care unit was associated with decreased mortality while older age, use of remdesivir, and high levels of CRP and LDH were associated with increased mortality in COVID-19 patients. Cureus 2021-09-20 /pmc/articles/PMC8525677/ /pubmed/34692345 http://dx.doi.org/10.7759/cureus.18137 Text en Copyright © 2021, Umeh et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Internal Medicine
Umeh, Chukwuemeka
Maguwudze, Stella
Torbela, Adrian
Saigal, Shipra
Kaur, Harpreet
Kazourra, Shadi
Aseri, Mahendra
Gupta, Rakesh
Chaudhuri, Sumanta
Gupta, Rahul
Predictors of Mortality in COVID-19 Patients in Southern California – Retrospective Multicenter Study
title Predictors of Mortality in COVID-19 Patients in Southern California – Retrospective Multicenter Study
title_full Predictors of Mortality in COVID-19 Patients in Southern California – Retrospective Multicenter Study
title_fullStr Predictors of Mortality in COVID-19 Patients in Southern California – Retrospective Multicenter Study
title_full_unstemmed Predictors of Mortality in COVID-19 Patients in Southern California – Retrospective Multicenter Study
title_short Predictors of Mortality in COVID-19 Patients in Southern California – Retrospective Multicenter Study
title_sort predictors of mortality in covid-19 patients in southern california – retrospective multicenter study
topic Internal Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525677/
https://www.ncbi.nlm.nih.gov/pubmed/34692345
http://dx.doi.org/10.7759/cureus.18137
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