BMC Infectious Diseases | |
Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study | |
Ghasem Miri-Aliabad1  Seyed Mohammad Nasiraldin Tabatabaei2  Tahereh Khalili3  Majid Sartipi4  Sharareh Sanei-Sistani5  Fatemeh Ansari-Moghadam6  Alireza Ansari-Moghaddam6  Khodadad Sheikhzadeh6  Mohammadhadi Abbasi6  Neda Torab6  Hassan Okati-Aliabad6  Mahdi Mohammadi6  Hossein Ansari6  Mehdi Zanganeh Baygi6  Seyed Mehdi Tabatabaei7  Ali Reza Salimi Khorashad7  Seyed Mohammad Hashemi-Shahri7  | |
[1] Children and Adolescent Research Center, Zahedan University of Medical Sciences, Zahedan, Iran;Department of Anesthesiology, Zahedan University of Medical Sciences, Zahedan, Iran;Department of Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran;Department of Epidemiology and Biostatistics, School of Health, Zahedan University of Medical Sciences, Zahedan, Iran;Department of Radiology, Zahedan University of Medical Sciences, Zahedan, Iran;Health Promotion Research Center, Zahedan University of Medical Sciences Campus, Hesabi Square, Zahedan, Iran;Research Center for Infectious Diseases and Tropical Medicine, Zahedan University of Medical Sciences, Zahedan, Iran; | |
关键词: COVID-19; Patients; Risk factors; Severity; | |
DOI : 10.1186/s12879-022-07165-0 | |
来源: Springer | |
【 摘 要 】
BackgroundIran 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.MethodsIn 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.ResultsAmong 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).ConclusionsCOVID-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.
【 授权许可】
CC BY
【 预 览 】
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