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Yadollahi, Mahnaz, Karajizadeh, Mehrdad, Farahmand, Mohammad, Bordbar, Najmeh, Ghahramani, Zahra. (1401). Clinical Features and Predictor of Mortality among Patients with COVID-19 in Shiraz, Iran. سامانه مدیریت نشریات علمی, 9(4), 193-200. doi: 10.30476/jhmi.2023.96801.1158
Mahnaz Yadollahi; Mehrdad Karajizadeh; Mohammad Farahmand; Najmeh Bordbar; Zahra Ghahramani. "Clinical Features and Predictor of Mortality among Patients with COVID-19 in Shiraz, Iran". سامانه مدیریت نشریات علمی, 9, 4, 1401, 193-200. doi: 10.30476/jhmi.2023.96801.1158
Yadollahi, Mahnaz, Karajizadeh, Mehrdad, Farahmand, Mohammad, Bordbar, Najmeh, Ghahramani, Zahra. (1401). 'Clinical Features and Predictor of Mortality among Patients with COVID-19 in Shiraz, Iran', سامانه مدیریت نشریات علمی, 9(4), pp. 193-200. doi: 10.30476/jhmi.2023.96801.1158
Yadollahi, Mahnaz, Karajizadeh, Mehrdad, Farahmand, Mohammad, Bordbar, Najmeh, Ghahramani, Zahra. Clinical Features and Predictor of Mortality among Patients with COVID-19 in Shiraz, Iran. سامانه مدیریت نشریات علمی, 1401; 9(4): 193-200. doi: 10.30476/jhmi.2023.96801.1158

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

Health Management & Information Science
مقاله 1، دوره 9، شماره 4، اسفند 2022، صفحه 193-200    اصل مقاله (324.03 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30476/jhmi.2023.96801.1158
نویسندگان
Mahnaz Yadollahi1؛ Mehrdad Karajizadeh* 1؛ Mohammad Farahmand2؛ Najmeh Bordbar2؛ Zahra Ghahramani1
1Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
2Trauma Research Center, Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
چکیده
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.
کلیدواژه‌ها
Coronavirus disease؛ Predictor؛ Mortality؛ Survival, Iran
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