Clinical Features and Predictor of Mortality among Patients with COVID-19 in Shiraz, Iran

Yadollahi, Mahnaz; Karajizadeh, Mehrdad; Farahmand, Mohammad; Bordbar, Najmeh; Ghahramani, Zahra

doi:10.30476/jhmi.2023.96801.1158

Clinical Features and Predictor of Mortality among Patients with COVID-19 in Shiraz, Iran

Document Type : Original Article

Authors

Mahnaz Yadollahi ¹

Mehrdad Karajizadeh ¹

Mohammad Farahmand ²

Najmeh Bordbar ²

Zahra Ghahramani ¹

¹ Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.

² Trauma Research Center, Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.

10.30476/jhmi.2023.96801.1158

Abstract

Introduction: This study aimed to identify the clinical features and predictors of mortality in patients hospitalized with Coronavirus disease 2019 (COVID-19) in southern Iran.
Methods: This cross-sectional study was performed on patients with COVID-19 admitted to Ali Asghar Hospital in Shiraz, Iran, in 2021. All patients with a definitive diagnosis of COVID-19 were included in the study. The required information was extracted from the patient's medical records.
Results: In this study, 619 patients with COVID-19 were included. Sixty-four patients (10.3%) died due to COVID-19, and 555 (89.7%) patients recovered. The clinical signs of breath shortness, muscle pain, low Oxygen saturation, and intubation were statistically significant between the two groups (P<0.05). The results of the multivariate logistic model showed that age >52 years, diabetes, and SaO₂ level less than 90% significantly increased the risk of death in COVID-19 hospitalized patients.
Conclusion: The results of the study showed that patients with SaO₂ levels less than 90% and over the age of 52 and those with diabetes had a higher risk of mortality from COVID-19. Therefore, identifying COVID-19 risk factors and deaths will have important implications for clinical management and disease reduction strategies.

Keywords

Coronavirus disease

Predictor

Mortality

Survival, Iran

Subjects