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Predictors of Hospitalization in Veterans with COVID 19 Infection

Frailty, a clinical syndrome characterized by vulnerability to stressors resulting from a loss of physiological reserve across multiple systems, is a common condition that affects older adults. In patients with COVID 19 infection, frailty may place older adults at higher risk for poor clinical outco...

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Autores principales: Ruiz, Jorge, Ruiz, Sergio, Fernandez, Marlena, Cevallos, Victor, Jumani, Yaseen, Morisetti, Manasa, Hasanain, Sahar, Mintzer, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741847/
http://dx.doi.org/10.1093/geroni/igaa057.3525
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author Ruiz, Jorge
Ruiz, Sergio
Fernandez, Marlena
Cevallos, Victor
Jumani, Yaseen
Morisetti, Manasa
Hasanain, Sahar
Mintzer, Michael
author_facet Ruiz, Jorge
Ruiz, Sergio
Fernandez, Marlena
Cevallos, Victor
Jumani, Yaseen
Morisetti, Manasa
Hasanain, Sahar
Mintzer, Michael
author_sort Ruiz, Jorge
collection PubMed
description Frailty, a clinical syndrome characterized by vulnerability to stressors resulting from a loss of physiological reserve across multiple systems, is a common condition that affects older adults. In patients with COVID 19 infection, frailty may place older adults at higher risk for poor clinical outcomes including hospitalizations. The aim of this study was to determine independent variables associated with all-cause hospitalization in Veterans with COVID 19 infection. This was a cross-sectional study nested within a retrospective cohort study of Veterans who contracted COVID 19 as detected by PCR. A VA Frailty Index (VA-FI) was generated at baseline as a proportion of morbidity, function, sensory loss, cognition and mood and other variables from electronic health records. The VA-FI categorized Veterans into non-frail (FI<.21) and frail (FI≥.21). At the time or after the COVID 19 testing, hospitalization data was aggregated, and proposed variables were subjected to stepwise backward logistic regression. Likelihood ratios were obtained, and those with p<0.05 were identified as independent risk factors for hospitalization. A total of 2621 Veterans with COVID 19 infection were identified during the study period with a total of 650 hospitalizations. Mean age was 54.99 (SD=16.71) years, 59.80% White, 87.60% male, 25.10% frail. The independent factors associated with hospitalization upon backward logistic regression were age (OR=1.049, 95%CI:1.041-1.057), frailty (OR=2.350, 95%CI: 1.797-3.074), African American race (OR=1.467, 95%CI:1.188-1.812), schizophrenia (OR=0.401, 95%CI:0.235-0.686), and substance abuse (OR=0.602, 95%CI:0.476-0.762). In veterans with COVID 19 infection, age, frailty, race (African American), schizophrenia, and substance abuse were predictors of all-cause hospitalization.
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spelling pubmed-77418472020-12-21 Predictors of Hospitalization in Veterans with COVID 19 Infection Ruiz, Jorge Ruiz, Sergio Fernandez, Marlena Cevallos, Victor Jumani, Yaseen Morisetti, Manasa Hasanain, Sahar Mintzer, Michael Innov Aging Abstracts Frailty, a clinical syndrome characterized by vulnerability to stressors resulting from a loss of physiological reserve across multiple systems, is a common condition that affects older adults. In patients with COVID 19 infection, frailty may place older adults at higher risk for poor clinical outcomes including hospitalizations. The aim of this study was to determine independent variables associated with all-cause hospitalization in Veterans with COVID 19 infection. This was a cross-sectional study nested within a retrospective cohort study of Veterans who contracted COVID 19 as detected by PCR. A VA Frailty Index (VA-FI) was generated at baseline as a proportion of morbidity, function, sensory loss, cognition and mood and other variables from electronic health records. The VA-FI categorized Veterans into non-frail (FI<.21) and frail (FI≥.21). At the time or after the COVID 19 testing, hospitalization data was aggregated, and proposed variables were subjected to stepwise backward logistic regression. Likelihood ratios were obtained, and those with p<0.05 were identified as independent risk factors for hospitalization. A total of 2621 Veterans with COVID 19 infection were identified during the study period with a total of 650 hospitalizations. Mean age was 54.99 (SD=16.71) years, 59.80% White, 87.60% male, 25.10% frail. The independent factors associated with hospitalization upon backward logistic regression were age (OR=1.049, 95%CI:1.041-1.057), frailty (OR=2.350, 95%CI: 1.797-3.074), African American race (OR=1.467, 95%CI:1.188-1.812), schizophrenia (OR=0.401, 95%CI:0.235-0.686), and substance abuse (OR=0.602, 95%CI:0.476-0.762). In veterans with COVID 19 infection, age, frailty, race (African American), schizophrenia, and substance abuse were predictors of all-cause hospitalization. Oxford University Press 2020-12-16 /pmc/articles/PMC7741847/ http://dx.doi.org/10.1093/geroni/igaa057.3525 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Ruiz, Jorge
Ruiz, Sergio
Fernandez, Marlena
Cevallos, Victor
Jumani, Yaseen
Morisetti, Manasa
Hasanain, Sahar
Mintzer, Michael
Predictors of Hospitalization in Veterans with COVID 19 Infection
title Predictors of Hospitalization in Veterans with COVID 19 Infection
title_full Predictors of Hospitalization in Veterans with COVID 19 Infection
title_fullStr Predictors of Hospitalization in Veterans with COVID 19 Infection
title_full_unstemmed Predictors of Hospitalization in Veterans with COVID 19 Infection
title_short Predictors of Hospitalization in Veterans with COVID 19 Infection
title_sort predictors of hospitalization in veterans with covid 19 infection
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741847/
http://dx.doi.org/10.1093/geroni/igaa057.3525
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