Volume 9, Issue 2 (2023)                   IEM 2023, 9(2): 167-178 | Back to browse issues page


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Hemat jouy S, Lotfi F, Akrami R, shahraki J, Sheervalilou R, Shahraki O et al . Investigating the Association between COVID-19 Prognosis and Demographic and Clinical Features, Underlying Diseases, and Drug and Supplement Use in Patients Hospitalized in Zabol, Iran: A Single-Center Retrospective Study. IEM 2023; 9 (2) :167-178
URL: http://iem.modares.ac.ir/article-4-63392-en.html
1- Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Zabol University of Medical Sciences, Zabol, Iran
3- Department of Epidemiology & Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4- Pharmacology Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
5- Pharmacology Research Center, Zahedan University of Medical Sciences, Zahedan, Iran , o.shahraki@zaums.ac.ir
Abstract:   (816 Views)
Backgrounds: The primary goal of this study was to identify the potential association between COVID-19 prognosis and demographic and clinical features, underlying diseases, and drug and supplement use in patients admitted to Amir al-Momenin hospital in Zabol.

Materials & Methods: This retrospective study surveyed the electronic health records of 848 COVID-19 patients hospitalized in a tertiary referral hospital in southeastern Iran from the beginning of the COVID-19 outbreak until the end of February 2021. Univariate and multiple analytical tests including unconditional and penalized logistic regressions were used for statistical analysis.

Findings: Out of a total of 848 patients, 371 (43.75%) patients were female, and 477 (56.25%) patients were male. Age, underlying pulmonary and cardiovascular diseases, and loss of consciousness predicted a higher mortality rate. On the contrary, a negative chest X-ray was associated with a lower risk of death.

Conclusion: Identifying predisposing factors of mortality in COVID-19 patients will help physicians provide more intensive care to those at higher risk of death by classifying patients based on risk factors and underlying diseases.
Full-Text [PDF 542 kb]   (484 Downloads)    
Article Type: Original Research | Subject: Virology
Received: 2022/08/6 | Accepted: 2023/06/14 | Published: 2023/08/19

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