modeling predictors of brain stroke in the presence of competing risk:a frailty accelerated failure time approach

Objectives: today, due to advances in the diagnosis and treatment ofdiseases, brain stroke (bs) is considered one of the major causes of disability andmortality globally. therefore, this study is essential to compare the survival rate ofbs patients between two causes of death (death due to bs and death due to otherreasons). methods: a total of 332 patients were entered in the ten-year follow-upstudy (june 2008 up to june 2018). their event status due to bs or other causes (suchas heart disease, etc.) was assessed. the analysis was performed with an acceleratorfailure time approach of survival analysis with competing risks with frailty parameterization.results: the results showed, death due to bs age (59-68 years: time ratio[tr] =0.13, 90% ci = [0.06-0.29]), (69-75 years: tr= 0.01, 90% ci=[ 0.01-0.04]),(76+ years: tr= 0.01, 90% ci 0.01-0.06]) and sex (tr= 0.45, 90% ci=[ 0.25-0.82]),employment status (tr =0.35 90% ci=[ 0.019-0.66]), having the heart disease (tr=0.25, 90% ci=[ 0.12-0.44] and hemorrhagic bs (tr= 0.11, 90% ci=[ 0.05-0.24). age(59-68 years: tr =0.14, 90% ci= [0.06-0.30]= [0.06-0.29]), (69-75 years: tr= 0.14,90% ci=[ 0.06-0.30]), (76+ years: tr= 0.10, 90% ci=[ 0.04-0.24]), place of residence(tr= 1.71, 90% ci =[1.19-2.44]) were identified as specific factors for death due toother causes. conclusion: according to the findings of this study in evaluating diagnosticfactors, it is better to examine the risk factors affecting the cause of death ofpatients with bs separately. having specific information about the cause of death ofpatients can help improve the patient’s quality of care and treatment outcomes andthus reduce costs.