Evaluation of the Causal Association of Risk Factors for Death From COVID-۱۹ Patients Admitted to Golestan Hospitals by Propensity Score Estimation Method
محل انتشار: مجله علوم پزشکی ایران، دوره: 11، شماره: 4
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 55
فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JHES-11-4_006
تاریخ نمایه سازی: 20 دی 1402
چکیده مقاله:
Background and Purpose: Evaluating the causal association effect of risk factors is essential in estimating the mortality rate among COVID-۱۹ patients. Much research has been conducted to assess the impact of COVID-۱۹ on death in various countries worldwide. However, few studies have addressed the effect of causal association of risk factors. This study aims to address this gap by estimating the impact of COVID-۱۹ on death by evaluating the causal association with the risk factors.
Materials and Methods: The research population included all inpatients with initial COVID-۱۹ symptoms, confirmed by their PCR test results. They were admitted to hospitals affiliated with Golestan University of Medical Science, Golestan, Iran, in ۲۰۲۰. We employed the propensity score method, an effective statistical technique for evaluating the causal association effect of risk factors in observational studies. We also used the student and chi-squared tests to compare the differences between the two study groups.
Results: We used the propensity score matching estimation approach and logistic regression analysis for comparison. Of ۶۳۷۹ inpatients, ۵۵۸۱ (۸۷.۵%) were discharged or recovered, and ۷۹۸ (۱۲.۵%) died. The causal association between treatment results (discharged vs died) and variables of PCR test, SpO۲, gender, age, and hospitalization duration in ICU were statistically significant.
Conclusion: The propensity score matching estimation method revealed a high risk of death in patients with PCR+ test diagnosis. Specifically, using this approach, the above-measured risk factors increased the chance of death in patients with PCR+ to ۷۲%. However, the traditional multiple logistic regression model estimated the risk of death at ۴۶%, suggesting potential underestimation. This disparity might be due to better control of the effect of the above-measured risk factors by the propensity score matching. Therefore, the former estimating approach is more effective in assessing the impact of COVID-۱۹ on death.
کلیدواژه ها:
نویسندگان
Hassan Khorsha
Department of Statistics, Faculty of Sciences, Golestan University of Medical Sciences, Gorgan, Iran.
Manoochehr Babanezhad
Department of Statistics, Faculty of Sciences, Golestan University of Medical Sciences, Gorgan, Iran.
Naser Behnampour
Department of Biostatistics and Epidemiology, School of Health, Golestan University of Medical Sciences, Gorgan, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :