CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

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

عنوان مقاله: 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
شناسه ملی مقاله: JR_IEM-9-2_008
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:

Shaghayegh Hemat jouy - Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran
farzan Lotfi - Department of Pharmacology and Toxicology, Faculty of Pharmacy, Zabol University of Medical Sciences, Zabol, Iran
Rahim Akrami - Department of Epidemiology & Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
jafar shahraki - Department of Pharmacology and Toxicology, Faculty of Pharmacy, Zabol University of Medical Sciences, Zabol, Iran
Roghayeh Sheervalilou - Pharmacology Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
Omolbanin Shahraki - Pharmacology Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
Habib Ghaznavi - Pharmacology Research Center, Zahedan University of Medical Sciences, Zahedan, Iran

خلاصه مقاله:
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.

کلمات کلیدی:
COVID-۱۹, Coronavirus, Infection, SARS-CoV-۲, Prognosis

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1783838/