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Predictors of COVID-19 related death in elderly patients hospitalized due to COVID-19 infection: a cross-sectional study in the west of Iran

AIM: Identifying risk factors associated with mortality in elderly patients hospitalized with COVID-19 can be helpful in managing the disease in this age group. Therefore, the aim of this study was to determine the risk factors of death in elderly patients hospitalized with COVID-19 in Hamadan in 20...

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Autores principales: Sharifi, Shirin, Bashirian, Saeid, Soltanian, Alireza, Khazaei, Salman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990002/
https://www.ncbi.nlm.nih.gov/pubmed/37361295
http://dx.doi.org/10.1007/s10389-023-01868-7
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author Sharifi, Shirin
Bashirian, Saeid
Soltanian, Alireza
Khazaei, Salman
author_facet Sharifi, Shirin
Bashirian, Saeid
Soltanian, Alireza
Khazaei, Salman
author_sort Sharifi, Shirin
collection PubMed
description AIM: Identifying risk factors associated with mortality in elderly patients hospitalized with COVID-19 can be helpful in managing the disease in this age group. Therefore, the aim of this study was to determine the risk factors of death in elderly patients hospitalized with COVID-19 in Hamadan in 2020. SUBJECT AND METHODS: This cross-sectional study was performed on the medical records of 1694 patients aged 60 years and older who were diagnosed with COVID-19 disease between March and August 2020 and were admitted to Shahid Beheshti and Sina Hospitals. A researcher-made checklist included demographic information, clinical information, laboratory results, type of procedures performed for the patient in the hospital, and the number of hospitalization days. RESULTS: The results showed that 30% of the elderly patients died due to COVID-19 complications. The results of adapted logistic regression showed that the variables of gender, age, inpatient ward and laboratory indices of albumin, hemoglobin, ESR, and LDH were the main predictors of COVID-19 related death in elderly patients (p < 0.05). CONCLUSION: The rate of COVID-19 related death in the hospitalized elderly patients is remarkable. The death rate increased among male patients, age older than 75 years, hospitalization in the ICU, increased ESR and HDR levels, and decreased albumin and hemoglobin.
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spelling pubmed-99900022023-03-07 Predictors of COVID-19 related death in elderly patients hospitalized due to COVID-19 infection: a cross-sectional study in the west of Iran Sharifi, Shirin Bashirian, Saeid Soltanian, Alireza Khazaei, Salman Z Gesundh Wiss Original Article AIM: Identifying risk factors associated with mortality in elderly patients hospitalized with COVID-19 can be helpful in managing the disease in this age group. Therefore, the aim of this study was to determine the risk factors of death in elderly patients hospitalized with COVID-19 in Hamadan in 2020. SUBJECT AND METHODS: This cross-sectional study was performed on the medical records of 1694 patients aged 60 years and older who were diagnosed with COVID-19 disease between March and August 2020 and were admitted to Shahid Beheshti and Sina Hospitals. A researcher-made checklist included demographic information, clinical information, laboratory results, type of procedures performed for the patient in the hospital, and the number of hospitalization days. RESULTS: The results showed that 30% of the elderly patients died due to COVID-19 complications. The results of adapted logistic regression showed that the variables of gender, age, inpatient ward and laboratory indices of albumin, hemoglobin, ESR, and LDH were the main predictors of COVID-19 related death in elderly patients (p < 0.05). CONCLUSION: The rate of COVID-19 related death in the hospitalized elderly patients is remarkable. The death rate increased among male patients, age older than 75 years, hospitalization in the ICU, increased ESR and HDR levels, and decreased albumin and hemoglobin. Springer Berlin Heidelberg 2023-03-07 /pmc/articles/PMC9990002/ /pubmed/37361295 http://dx.doi.org/10.1007/s10389-023-01868-7 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Sharifi, Shirin
Bashirian, Saeid
Soltanian, Alireza
Khazaei, Salman
Predictors of COVID-19 related death in elderly patients hospitalized due to COVID-19 infection: a cross-sectional study in the west of Iran
title Predictors of COVID-19 related death in elderly patients hospitalized due to COVID-19 infection: a cross-sectional study in the west of Iran
title_full Predictors of COVID-19 related death in elderly patients hospitalized due to COVID-19 infection: a cross-sectional study in the west of Iran
title_fullStr Predictors of COVID-19 related death in elderly patients hospitalized due to COVID-19 infection: a cross-sectional study in the west of Iran
title_full_unstemmed Predictors of COVID-19 related death in elderly patients hospitalized due to COVID-19 infection: a cross-sectional study in the west of Iran
title_short Predictors of COVID-19 related death in elderly patients hospitalized due to COVID-19 infection: a cross-sectional study in the west of Iran
title_sort predictors of covid-19 related death in elderly patients hospitalized due to covid-19 infection: a cross-sectional study in the west of iran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990002/
https://www.ncbi.nlm.nih.gov/pubmed/37361295
http://dx.doi.org/10.1007/s10389-023-01868-7
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