Evaluation of the effect values of risk factors by clustering method in patients who died due to COVID-19 disease

Authors : Salih METİN, Suna ERAYBAR, Hüseyin AYGÜN, İlker ERCAN, Canan DEMİR

Pages : 678-684

Doi:10.18621/eurj.1140623

View : 17 | Download : 11

Publication Date : 2022-09-04

Article Type : Research Paper

Abstract :Objectives: The aim of this study is to determine the factors that may be associated with mortality in patients who died due to COVID-19 and to determine the effect sizes of the factors that make a statistically significant difference. Methods: The patients who died due to COVID-19 between 01.03.2020 and 01.03.2021 in Bursa province were evaluated retrospectively. In addition to demographic information such as age, gender, nationality, existing chronic diseases of the patients, COVID- PCR test results, length of hospital stay, intensive care unit follow up times, intubation application times were recorded. The effect size of the variables on mortality were evaluated. Results: Total of 3,510 deaths due to COVID-19 were evaluated. Of these, 2,107 insert ignore into journalissuearticles values(60%); were male and 1,403 insert ignore into journalissuearticles values(40%); were female. Three thousand three hundred and seventy-four insert ignore into journalissuearticles values(96.12%); patients are 50 years or older. In both sexes, the highest number of deaths were in the age range of 70-79. The most common comorbidities were hypertension insert ignore into journalissuearticles values(HT); insert ignore into journalissuearticles values(n = 1,182; 34.16%); and diabetes mellitus insert ignore into journalissuearticles values(DM); insert ignore into journalissuearticles values(n =776; 22.43%);. HT and DM had a strong effect value between the groups insert ignore into journalissuearticles values( p < 0.001 and p < 0.001, phi effect values: 0.661 and 0.681, respectively);. Although there was a statistically significant difference for the age variable, it had an insignificant effect value insert ignore into journalissuearticles values( p = 0.008,
Keywords : Chronical disease, COVID 19, COVID 19 related deaths, effect value, risk factors