Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study

BMC Infectious Diseases

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