Mohammadreza Mirjalili; Mohammadreza Dehghani; Mehdi Raadabadi; Farzan Madadizadeh; Mohammad Sharifyazdi; Hosein Shojaefar; Masoud Sharifi; Mehdi Yavari; Ali Dehghani
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 ...
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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.
Mozhgan Seif; Mehdi Sharafi; Marziyeh Sadat Seif; Mohsen Bayati; Jalal Karimi
Abstract
Background: The effectiveness of COVID-19 vaccination determines the resource allocation for saving lives in this pandemic. Certainly, the efficacy of all vaccines has been studied in laboratory situations. However, the present study aims to estimate the effectiveness of vaccination in real conditions ...
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Background: The effectiveness of COVID-19 vaccination determines the resource allocation for saving lives in this pandemic. Certainly, the efficacy of all vaccines has been studied in laboratory situations. However, the present study aims to estimate the effectiveness of vaccination in real conditions of Iranian populations by controlling the effect of demographic factors and the history of chronic diseases.Methods: This historical cohort study used information on 1988 hospitalized COVID-19 patients with less than 93% blood oxygen levels. Cox regression, Survival Tree, and Forests were applied to estimate the effect of immunity from vaccination on survival, while the effect of demographic characteristics and history of chronic diseases was controlled.Results: The analysis showed that 10% of the patients were immunized, while the Sinopharm vaccine and the rest by Sputnik induced 86% of the immunity. Although there was no difference in the effectiveness of the vaccines, it was found that the immunity from each vaccine increased survival. Patient age was identified as the most influential factor in survival. Other contributing factors include the history of opium/smoking, cancer, the history of chronic lung disease, kidney disease, high blood pressure, and cardiovascular problems.Conclusion: Although age is the most influential factor in patient survival, immunity can control the risk of COVID-19. Therefore, it is recommended to prioritize the old and patients with any of the above underlying problems for vaccination and timely treatment.
