Investigating the Association between COVID-۱۹ Prognosis and Demographic and Clinical Features, Underlying Diseases, and Drug and Supplement Use in Patients Hospitalized in Zabol, Iran: A Single-Center Retrospective Study

Backgrounds: The primary goal of this study was to identify the potential association between COVID-۱۹ 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 ۸۴۸ COVID-۱۹ patients hospitalized in a tertiary referral hospital in southeastern Iran from the beginning of the COVID-۱۹ outbreak until the end of February ۲۰۲۱. Univariate and multiple analytical tests including unconditional and penalized logistic regressions were used for statistical analysis. Findings: Out of a total of ۸۴۸ patients, ۳۷۱ (۴۳.۷۵%) patients were female, and ۴۷۷ (۵۶.۲۵%) 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-۱۹ 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.

Keywords:

COVID-۱۹ , Coronavirus , Infection , SARS-CoV-۲ , Prognosis