Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemic

Summary: Background: COVID-19, caused by SARS-CoV-2, has caused a global pandemic. This study aimed to identify predictors of in-hospital mortality in unvaccinated elderly patients with COVID-19 by comparing various predictive factors between the survivors and non-survivors. Methods: We retrospecti...

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Main Authors: Zenya Saito, Shota Uchiyama, Saiko Nishioka, Kentaro Tamura, Nobumasa Tamura, Kazuyoshi Kuwano
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Infection Prevention in Practice
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590088924000052
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author Zenya Saito
Shota Uchiyama
Saiko Nishioka
Kentaro Tamura
Nobumasa Tamura
Kazuyoshi Kuwano
author_facet Zenya Saito
Shota Uchiyama
Saiko Nishioka
Kentaro Tamura
Nobumasa Tamura
Kazuyoshi Kuwano
author_sort Zenya Saito
collection DOAJ
description Summary: Background: COVID-19, caused by SARS-CoV-2, has caused a global pandemic. This study aimed to identify predictors of in-hospital mortality in unvaccinated elderly patients with COVID-19 by comparing various predictive factors between the survivors and non-survivors. Methods: We retrospectively selected 132 unvaccinated patients aged over 65 years with COVID-19 at a hospital in Kanagawa, Japan, during SARS-CoV-2 Alpha variants epidemic. We compared the clinical characteristics, laboratory and radiological findings, treatment, and complications of the survivors and non-survivors. In logistic regression analysis, variables that were significant in the univariate analysis were subjected to multivariate analysis using the variable increase method. Results: There were 119 and 13 patients in the survivor and non-survivor groups, respectively. Multivariate regression revealed increasing odds with the presence of ARDS and DIC (odd ratio (OR) = 16.35, 34.36; P=0.002, 0.001, respectively) and prolonged hospital stay (OR = 1.17; P=0.004). Conclusions: We found the complications of ARDS and DIC and hospital length of stay to be independent predictors of in-hospital mortality in elderly unvaccinated patients with COVID-19. Establishing treatments and prevention methods for ARDS and DIC could result in lower mortality rates.
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spelling doaj.art-e440c6f91b9f45abbc2120b89bf380cb2024-02-22T04:53:19ZengElsevierInfection Prevention in Practice2590-08892024-03-0161100341Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemicZenya Saito0Shota Uchiyama1Saiko Nishioka2Kentaro Tamura3Nobumasa Tamura4Kazuyoshi Kuwano5Division of Respiratory Diseases, Department of Internal Medicine, Atsugi City Hospital, Kanagawa, Japan; Corresponding author. Address: Department of Respiratory Medicine, Atsugi City Hospital, 1-16-36 Mizuhiki, Atsugi-shi, Kanagawa 243-8588, Japan. Tel.: +81 46 221 1570.Division of Respiratory Diseases, Department of Internal Medicine, Atsugi City Hospital, Kanagawa, JapanDivision of Respiratory Diseases, Department of Internal Medicine, Atsugi City Hospital, Kanagawa, JapanDivision of Respiratory Diseases, Department of Internal Medicine, Atsugi City Hospital, Kanagawa, JapanDivision of Respiratory Diseases, Department of Internal Medicine, Atsugi City Hospital, Kanagawa, JapanDivision of Respiratory Diseases, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, JapanSummary: Background: COVID-19, caused by SARS-CoV-2, has caused a global pandemic. This study aimed to identify predictors of in-hospital mortality in unvaccinated elderly patients with COVID-19 by comparing various predictive factors between the survivors and non-survivors. Methods: We retrospectively selected 132 unvaccinated patients aged over 65 years with COVID-19 at a hospital in Kanagawa, Japan, during SARS-CoV-2 Alpha variants epidemic. We compared the clinical characteristics, laboratory and radiological findings, treatment, and complications of the survivors and non-survivors. In logistic regression analysis, variables that were significant in the univariate analysis were subjected to multivariate analysis using the variable increase method. Results: There were 119 and 13 patients in the survivor and non-survivor groups, respectively. Multivariate regression revealed increasing odds with the presence of ARDS and DIC (odd ratio (OR) = 16.35, 34.36; P=0.002, 0.001, respectively) and prolonged hospital stay (OR = 1.17; P=0.004). Conclusions: We found the complications of ARDS and DIC and hospital length of stay to be independent predictors of in-hospital mortality in elderly unvaccinated patients with COVID-19. Establishing treatments and prevention methods for ARDS and DIC could result in lower mortality rates.http://www.sciencedirect.com/science/article/pii/S2590088924000052COVID-19VaccinationCoronavirus diseaseSARS-CoV-2Mortality
spellingShingle Zenya Saito
Shota Uchiyama
Saiko Nishioka
Kentaro Tamura
Nobumasa Tamura
Kazuyoshi Kuwano
Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemic
Infection Prevention in Practice
COVID-19
Vaccination
Coronavirus disease
SARS-CoV-2
Mortality
title Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemic
title_full Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemic
title_fullStr Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemic
title_full_unstemmed Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemic
title_short Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemic
title_sort predictors of in hospital mortality in elderly unvaccinated patients during sars cov 2 alpha variants epidemic
topic COVID-19
Vaccination
Coronavirus disease
SARS-CoV-2
Mortality
url http://www.sciencedirect.com/science/article/pii/S2590088924000052
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