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A survival analysis of socio-demographic and clinical predictors among hospitalized COVID-19 patients in Southern Iran
BACKGROUND: This study aimed to evaluate the socio-demographic, clinical, and laboratory risk factors in hospitalized COVID-19 patients during the first 6 months of the SARS-CoV-2 epidemic. METHOD: This retrospective hospital-based cross-sectional study included all laboratory-confirmed cases of the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031712/ https://www.ncbi.nlm.nih.gov/pubmed/36949422 http://dx.doi.org/10.1186/s12879-023-08129-8 |
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author | Esfandiari, Atefeh Kiani, Jamileh Amiri, Batool Mahmoodi, Marzieh Abbasi, Fatemeh Javanmardi, Erfan Yazdanpanah, Ahmad Akhlaghi, Allahkarm Salari, Hedayat |
author_facet | Esfandiari, Atefeh Kiani, Jamileh Amiri, Batool Mahmoodi, Marzieh Abbasi, Fatemeh Javanmardi, Erfan Yazdanpanah, Ahmad Akhlaghi, Allahkarm Salari, Hedayat |
author_sort | Esfandiari, Atefeh |
collection | PubMed |
description | BACKGROUND: This study aimed to evaluate the socio-demographic, clinical, and laboratory risk factors in hospitalized COVID-19 patients during the first 6 months of the SARS-CoV-2 epidemic. METHOD: This retrospective hospital-based cross-sectional study included all laboratory-confirmed cases of the COVID-19 virus that were admitted to the Shohadaye-Khalije-Fars Hospital in Bushehr, Iran, from February 22, 2020 to September 21, 2020. The patients' records were reviewed during the hospitalization period. The global COVID-19 clinical platform, i.e., the World Health Organization Rapid Case Report Form was used as the data collection tool. We conducted the survival analysis using the Kaplan–Meier and the Stepwise Cox regression analyses. RESULTS: The analysis included 2108 confirmed cases of COVID-19 with a mean age of 47.81 years (SD 17.78); 56.8% men, 43.2% women and 6.3% (n = 133) deaths. After adjustment, it was found that factors associated with an increased risk of death consisted of chronic kidney disease, intensive care unit admission, cancer, and hemoptysis. The 7-day survival rate was 95.8%, which decreased to 95.1%, 94.0%, and 93.8% on days 14, 21, and 28 of hospitalization, respectively. DISCUSSION AND CONCLUSION: Older COVID-19 patients with manifestation of hemoptysis and a past medical history of chronic kidney disease and cancer, should be closely monitored to prevent disease deterioration and death, and also should be admitted to the intensive care unit. |
format | Online Article Text |
id | pubmed-10031712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100317122023-03-22 A survival analysis of socio-demographic and clinical predictors among hospitalized COVID-19 patients in Southern Iran Esfandiari, Atefeh Kiani, Jamileh Amiri, Batool Mahmoodi, Marzieh Abbasi, Fatemeh Javanmardi, Erfan Yazdanpanah, Ahmad Akhlaghi, Allahkarm Salari, Hedayat BMC Infect Dis Research Article BACKGROUND: This study aimed to evaluate the socio-demographic, clinical, and laboratory risk factors in hospitalized COVID-19 patients during the first 6 months of the SARS-CoV-2 epidemic. METHOD: This retrospective hospital-based cross-sectional study included all laboratory-confirmed cases of the COVID-19 virus that were admitted to the Shohadaye-Khalije-Fars Hospital in Bushehr, Iran, from February 22, 2020 to September 21, 2020. The patients' records were reviewed during the hospitalization period. The global COVID-19 clinical platform, i.e., the World Health Organization Rapid Case Report Form was used as the data collection tool. We conducted the survival analysis using the Kaplan–Meier and the Stepwise Cox regression analyses. RESULTS: The analysis included 2108 confirmed cases of COVID-19 with a mean age of 47.81 years (SD 17.78); 56.8% men, 43.2% women and 6.3% (n = 133) deaths. After adjustment, it was found that factors associated with an increased risk of death consisted of chronic kidney disease, intensive care unit admission, cancer, and hemoptysis. The 7-day survival rate was 95.8%, which decreased to 95.1%, 94.0%, and 93.8% on days 14, 21, and 28 of hospitalization, respectively. DISCUSSION AND CONCLUSION: Older COVID-19 patients with manifestation of hemoptysis and a past medical history of chronic kidney disease and cancer, should be closely monitored to prevent disease deterioration and death, and also should be admitted to the intensive care unit. BioMed Central 2023-03-22 /pmc/articles/PMC10031712/ /pubmed/36949422 http://dx.doi.org/10.1186/s12879-023-08129-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Esfandiari, Atefeh Kiani, Jamileh Amiri, Batool Mahmoodi, Marzieh Abbasi, Fatemeh Javanmardi, Erfan Yazdanpanah, Ahmad Akhlaghi, Allahkarm Salari, Hedayat A survival analysis of socio-demographic and clinical predictors among hospitalized COVID-19 patients in Southern Iran |
title | A survival analysis of socio-demographic and clinical predictors among hospitalized COVID-19 patients in Southern Iran |
title_full | A survival analysis of socio-demographic and clinical predictors among hospitalized COVID-19 patients in Southern Iran |
title_fullStr | A survival analysis of socio-demographic and clinical predictors among hospitalized COVID-19 patients in Southern Iran |
title_full_unstemmed | A survival analysis of socio-demographic and clinical predictors among hospitalized COVID-19 patients in Southern Iran |
title_short | A survival analysis of socio-demographic and clinical predictors among hospitalized COVID-19 patients in Southern Iran |
title_sort | survival analysis of socio-demographic and clinical predictors among hospitalized covid-19 patients in southern iran |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031712/ https://www.ncbi.nlm.nih.gov/pubmed/36949422 http://dx.doi.org/10.1186/s12879-023-08129-8 |
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