Amir Hossein Hashemian - Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
Mansour Rezaei - Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
Armin Attar - Cardiovascular Research Centre, Department of Cardiovascular Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
Leila Solouki - Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran

Background: High blood pressure (HBP) is one of the most prevalent diseases which has affected many people in different societies. It is also the cause of several other chronic and fatal diseases. Acute renal failure (ARF) represents an independent risk factor for morbidity, resulting in a prolonged period of hospitalization of the survived patients. Thus, survival analysis of the patients with HBP until ARF and determination of the associated factors are of utmost significance.Materials and Methods: The current research examined the survival of patients with HBP until ARF using the Weibull model. We obtained the data from Systolic Blood Pressure Intervention Trial (SPRINT). The studied population included patients with systolic blood pressure (SBP of ۱۳۰-۱۸۰ mm Hg). The follow-up median was ۳.۲۶ years in our study.Results: Out of a total of ۸۴۲ patients, ۵۹۰ subjects (۷۰.۱%) were male and ۲۵۲ subjects (۲۹.۹%) were female. Moreover, from these ۸۴۲ patients, ۸۵ (۴.۵%) died of cardiovascular diseases, ۲۹۸ (۱۵.۷%) were diagnosed with ARF, and ۴۵۹ (۵۴.۵%) were censored. According to the outcomes of the Weibull model of competing risks, the indexes of gender, albumin/creatinine ratio in urine, glomerular filtration rate, and being in the category of patients with chronic kidney disease (CKD) were effective factors associated with the survival of patients.Conclusion: According to the outcomes of this study, controlling blood pressure can greatly reduce the incidence of kidney failure.

Survival analysis, Competing risks, Weibull model, Acute renal failure, High blood pressure