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

Introduction: this study aimed to identify the clinical features and predictor of mortality inpatients hospitalized with coronavirus disease 2019 (covid-19) in southern iran.methods: this cross-sectional study was performed on patients with covid-19 admittedto ali asghar hospital in shiraz, iran, in 2021. all patients with a definitive diagnosis ofcovid-19 were included in the study. the required information was extracted from thepatients’ 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 breathshortness, muscle pain, low oxygen saturation, and intubation were statistically significantbetween the two groups (p<0.05). the results of the multivariate logistic model showed thatage >52 years, diabetes, and sao2 level less than 90% significantly increased the risk of deathin covid-19 hospitalized patients.conclusion: the results of the study showed that patients with sao2 levels less than 90% andover 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 forclinical management and disease reduction strategies.