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Maleki, Zahra, Ghorbani, Mohammad, Ghaem, Haleh, Zand, Farid. (1398). Predictors of Death and Discharge in Intensive Care Units: A Competing Risks Model. سامانه مدیریت نشریات علمی, 7(3), 151-156. doi: 10.30476/jhsss.2020.85351.1060
Zahra Maleki; Mohammad Ghorbani; Haleh Ghaem; Farid Zand. "Predictors of Death and Discharge in Intensive Care Units: A Competing Risks Model". سامانه مدیریت نشریات علمی, 7, 3, 1398, 151-156. doi: 10.30476/jhsss.2020.85351.1060
Maleki, Zahra, Ghorbani, Mohammad, Ghaem, Haleh, Zand, Farid. (1398). 'Predictors of Death and Discharge in Intensive Care Units: A Competing Risks Model', سامانه مدیریت نشریات علمی, 7(3), pp. 151-156. doi: 10.30476/jhsss.2020.85351.1060
Maleki, Zahra, Ghorbani, Mohammad, Ghaem, Haleh, Zand, Farid. Predictors of Death and Discharge in Intensive Care Units: A Competing Risks Model. سامانه مدیریت نشریات علمی, 1398; 7(3): 151-156. doi: 10.30476/jhsss.2020.85351.1060

Predictors of Death and Discharge in Intensive Care Units: A Competing Risks Model

Journal of Health Sciences & Surveillance System
مقاله 6، دوره 7، شماره 3، مهر 2019، صفحه 151-156    اصل مقاله (317.53 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30476/jhsss.2020.85351.1060
نویسندگان
Zahra Maleki1؛ Mohammad Ghorbani2؛ Haleh Ghaem* 3؛ Farid Zand4
1Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
2Department of Public Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
3PhD of Epidemiology, Associate Professor, Non-Communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
4MD Professor of Anesthesia and Critical Care Medicine, Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
چکیده
Objectives: Many risk factors are associated with death in and discharge from the Intensive Care Unit (ICU). This study aimed to evaluate the risk factors associated with death and discharge among ICU patients.
Methods: This historical cohort study was conducted on 712 patients admitted to the ICU of Namazi hospital in Shiraz between 2013 and 2015. The competing risks regression model was suitable for assessing the risk factors associated with death and discharge in ICU. Data analysis was performed using STATA 13.0 and R software.
Results: The mean age of the participants was 53.3±20.7 years. Out of 712 patients, 436 (61.2%) were male and 121 (17.8%) died. In the competing risks model, death was considered as the event of interest, and age and total days of Central Venous Catheter (CVC) and mechanical ventilation use increased the risk of death (all Sub-distribution Hazard Ratios (SHRs) > 1).
Conclusion: The findings indicated that increase in age, use of CVC and mechanical ventilation, and female sex caused an increase in death in ICU. However, the risk of death decreased or the chance of discharge increased when the patients were admitted due to surgical reasons.
کلیدواژه‌ها
Mortality؛ Patient Discharge؛ Intensive care units
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