factors associated with length of hospital stays in covid-19 patients in yazd province hospitals

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.