Modeling Survival Time to Death among Stroke Patients at Jimma University Medical Center, Southwest Ethiopia: A Retrospective Cohort Study.
Bikiltu Wakuma NegasaTeramaj Wongel WotaleMesfin Esayas LelishoLegesse Kassa DebushoKibrealem SisayWubishet GezimuPublished in: Stroke research and treatment (2023)
The Weibull accelerated failure time model better described the time to death of the stroke patients' data set than other distributions used in this study. Patients' age, atrial fibrillation, alcohol consumption, being diagnosed with hemorrhagic types of stroke, having hypertension, and having diabetes mellitus were found to be factors shortening survival time to death for stroke patients. Hence, healthcare professionals need to thoroughly follow the patients who pass risk factors. Moreover, patients need to be educated about lifestyle modifications.
Keyphrases
- atrial fibrillation
- end stage renal disease
- risk factors
- ejection fraction
- newly diagnosed
- chronic kidney disease
- alcohol consumption
- cardiovascular disease
- type diabetes
- physical activity
- percutaneous coronary intervention
- electronic health record
- blood brain barrier
- left atrial
- weight loss
- brain injury
- glycemic control
- oral anticoagulants
- data analysis
- catheter ablation