Document Type : Original Article
Authors
- Mohammadreza Mirjalili 1
- Mohammadreza Dehghani 2
- Mehdi Raadabadi 3
- Farzan Madadizadeh 4
- Mohammad Sharifyazdi 5
- Hosein Shojaefar 6
- Masoud Sharifi 7
- Mehdi Yavari 7
- Ali Dehghani 8
1 Department of Internal Medicine, Medical College, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2 Medical Genetics Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3 Health Policy and Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
4 Center for healthcare Data modeling, Departments of biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
5 Infectious Diseases and Tropical Medicine, Health Education Department, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
6 Health System Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
7 Health Center of Yazd Province, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
8 Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract
Background: Considering the high prevalence of COVID-19 in Iran, it is necessary to allocate health resources in response to this pandemic. Due to limitations in the number of hospital beds, analysis of the length of hospital stay in COVID-19 patients may be helpful for decision-making.
Methods: This retrospective cohort study (survival study) was conducted through a follow-up of 1465 COVID-19 patients in Yazd Province, Iran. Demographic, diagnostic, and clinical data were collected using the COVID-19 data dashboard of Shahid Sadoughi University of Medical Sciences. The Kaplan-Meier method and Cox regression were used to calculate the survival probability and hazard ratio; the log-rank test was applied to compare survival function according to qualitative variables.
Results: The median and mean survival time was 25 days (95% CI: 19.10-30.89 days) and 28.38 days (95% CI: 25.6-31.16 days), respectively. The Survival probability for one week, two weeks, three weeks, four weeks, five weeks, six weeks, and seven weeks and more was 92%, 76%, 57%, 48%, 45%, 33%, and 20%, respectively. There was a significant relationship between survival time and age categories, CT scan results, history of chronic pulmonary disease, history of diabetes, history of cardiovascular disease, and disease severity (P<0.05).
Conclusion: According to the results, age, history of cardiovascular and pulmonary diseases, and history of diabetes increased the length of hospital stay. Preventive measures should be followed to prevent COVID-19 infection and manage hospital beds required for efficient treatment of patients.
Keywords
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