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 | ||
| Infection Epidemiology and Microbiology | ||
| Article 8, Volume 9, Issue 2, 2023, Pages 167-178 PDF (542.43 K) | ||
| Document Type: Original Research | ||
| DOI: 10.61186/iem.9.2.167 | ||
| Authors | ||
| Shaghayegh Hemat jouy1; farzan Lotfi2; Rahim Akrami3; jafar shahraki2; Roghayeh Sheervalilou4; Omolbanin Shahraki* 4; Habib Ghaznavi4 | ||
| 1Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Pharmacology and Toxicology, Faculty of Pharmacy, Zabol University of Medical Sciences, Zabol, Iran | ||
| 3Department of Epidemiology & Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran | ||
| 4Pharmacology Research Center, Zahedan University of Medical Sciences, Zahedan, Iran | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Covid-19; Coronavirus; Infection; SARS-CoV-2; Prognosis | ||
| References | ||
|
| ||
|
Statistics Article View: 130 PDF Download: 71 |
||
| Number of Journals | 45 |
| Number of Issues | 2,171 |
| Number of Articles | 24,674 |
| Article View | 24,465,885 |
| PDF Download | 17,561,680 |