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Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study
BACKGROUND: Iran was one of the first countries to be affected by COVID-19. Identifying factors associated with the severity of COVID-19 is effective in disease management. This study investigated the epidemiological and clinical features and factors related to the severity of COVID-19 in one of the...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864589/ https://www.ncbi.nlm.nih.gov/pubmed/35197013 http://dx.doi.org/10.1186/s12879-022-07165-0 |
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author | Hashemi-Shahri, Seyed Mohammad Tabatabaei, Seyed Mohammad Nasiraldin Ansari-Moghaddam, Alireza Mohammadi, Mahdi Okati-Aliabad, Hassan Tabatabaei, Seyed Mehdi Ansari, Hossein Abbasi, Mohammadhadi Sheikhzadeh, Khodadad Baygi, Mehdi Zanganeh Sartipi, Majid Sanei-Sistani, Sharareh Khorashad, Ali Reza Salimi Ansari-Moghadam, Fatemeh Torab, Neda Khalili, Tahereh Miri-Aliabad, Ghasem |
author_facet | Hashemi-Shahri, Seyed Mohammad Tabatabaei, Seyed Mohammad Nasiraldin Ansari-Moghaddam, Alireza Mohammadi, Mahdi Okati-Aliabad, Hassan Tabatabaei, Seyed Mehdi Ansari, Hossein Abbasi, Mohammadhadi Sheikhzadeh, Khodadad Baygi, Mehdi Zanganeh Sartipi, Majid Sanei-Sistani, Sharareh Khorashad, Ali Reza Salimi Ansari-Moghadam, Fatemeh Torab, Neda Khalili, Tahereh Miri-Aliabad, Ghasem |
author_sort | Hashemi-Shahri, Seyed Mohammad |
collection | PubMed |
description | BACKGROUND: Iran was one of the first countries to be affected by COVID-19. Identifying factors associated with the severity of COVID-19 is effective in disease management. This study investigated the epidemiological and clinical features and factors related to the severity of COVID-19 in one of the less privileged areas in Iran. METHODS: In a multi-center study, all patients admitted to Zahedan University of Medical Sciences hospitals in southeastern Iran were investigated from February 29 to April 31, 2020. Demographic, epidemiological, and clinical data of patients were extracted from medical records. Bivariate and multivariate logistic regression models were used to explore the risk factors associated with the severity of COVID-19. RESULTS: Among the 413 patients, 55.5% were male, and 145 (35.10%) were in a severe condition at admission time. Multivariate analysis showed that the adjusted odds of the disease severity increased in patients with older age (OR 2.27; 95% CI 1.41–3.65), substance abuse (OR 2.49; 95% CI 1.14–5.43), having one underlying disease (OR 1.52; 95% CI 0.90–2.55), having two underlying disease (OR 2.31; 95% CI 1.19–4.50), and having three or more underlying disease (OR 2.60; 95% CI 1.19–5.66). CONCLUSIONS: COVID-19 was more severe in older patients, patients with a history of substance abuse, and patients with the underlying disease. Understanding the factors affecting the disease severity can help the clinical management of COVID-19, especially in less privileged areas where fewer resources are available. |
format | Online Article Text |
id | pubmed-8864589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88645892022-02-23 Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study Hashemi-Shahri, Seyed Mohammad Tabatabaei, Seyed Mohammad Nasiraldin Ansari-Moghaddam, Alireza Mohammadi, Mahdi Okati-Aliabad, Hassan Tabatabaei, Seyed Mehdi Ansari, Hossein Abbasi, Mohammadhadi Sheikhzadeh, Khodadad Baygi, Mehdi Zanganeh Sartipi, Majid Sanei-Sistani, Sharareh Khorashad, Ali Reza Salimi Ansari-Moghadam, Fatemeh Torab, Neda Khalili, Tahereh Miri-Aliabad, Ghasem BMC Infect Dis Research Article BACKGROUND: Iran was one of the first countries to be affected by COVID-19. Identifying factors associated with the severity of COVID-19 is effective in disease management. This study investigated the epidemiological and clinical features and factors related to the severity of COVID-19 in one of the less privileged areas in Iran. METHODS: In a multi-center study, all patients admitted to Zahedan University of Medical Sciences hospitals in southeastern Iran were investigated from February 29 to April 31, 2020. Demographic, epidemiological, and clinical data of patients were extracted from medical records. Bivariate and multivariate logistic regression models were used to explore the risk factors associated with the severity of COVID-19. RESULTS: Among the 413 patients, 55.5% were male, and 145 (35.10%) were in a severe condition at admission time. Multivariate analysis showed that the adjusted odds of the disease severity increased in patients with older age (OR 2.27; 95% CI 1.41–3.65), substance abuse (OR 2.49; 95% CI 1.14–5.43), having one underlying disease (OR 1.52; 95% CI 0.90–2.55), having two underlying disease (OR 2.31; 95% CI 1.19–4.50), and having three or more underlying disease (OR 2.60; 95% CI 1.19–5.66). CONCLUSIONS: COVID-19 was more severe in older patients, patients with a history of substance abuse, and patients with the underlying disease. Understanding the factors affecting the disease severity can help the clinical management of COVID-19, especially in less privileged areas where fewer resources are available. BioMed Central 2022-02-23 /pmc/articles/PMC8864589/ /pubmed/35197013 http://dx.doi.org/10.1186/s12879-022-07165-0 Text en © The Author(s) 2022 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 Hashemi-Shahri, Seyed Mohammad Tabatabaei, Seyed Mohammad Nasiraldin Ansari-Moghaddam, Alireza Mohammadi, Mahdi Okati-Aliabad, Hassan Tabatabaei, Seyed Mehdi Ansari, Hossein Abbasi, Mohammadhadi Sheikhzadeh, Khodadad Baygi, Mehdi Zanganeh Sartipi, Majid Sanei-Sistani, Sharareh Khorashad, Ali Reza Salimi Ansari-Moghadam, Fatemeh Torab, Neda Khalili, Tahereh Miri-Aliabad, Ghasem Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study |
title | Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study |
title_full | Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study |
title_fullStr | Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study |
title_full_unstemmed | Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study |
title_short | Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study |
title_sort | epidemiological and clinical risk factors related to severe covid-19 in iran: a multi-center study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864589/ https://www.ncbi.nlm.nih.gov/pubmed/35197013 http://dx.doi.org/10.1186/s12879-022-07165-0 |
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