Cumulative Probability of Occurrence of Nephropathy Complications of Type 2 Diabetes Using Survival Analysis

Diabetes is one of the chronic diseases and the most common disease related to metabolism in humans. Diabetic nephropathy, one of the dangerous complications of diabetes, has a relatively high prevalence in diabetic patients and causes kidney failure. Several factors have an effect on this disorder. The aim of this study was to determine the cumulative probability of occurrence of nephropathy complication of type 2 diabetes using survival analysis.

This study was a historical cohort study of survival analysis, which was conducted in a descriptive-analytical manner in 2019. The required sample size was estimated at 410 patients. Data were calculated using Stata.ver14 software and descriptive tests and then by Kaplan Meyer method and Cox survival proportional hazards model.

The variables of regular visits and smoking showed a significant relationship with the chance of nephropathy complications (p<0.05). Therefore, the chance of nephropathy complications in people who did not have regular visits was 1.03 times that of people who had regular visits. The Log-Rank test showed that the median survival time (months) of the occurrence of nephropathy is related to the variables of fasting blood sugar, blood pressure, systolic, and blood lipids.

With early diagnosis of diabetes and control of the factors that accelerate the development of diabetic nephropathy and effective and timely treatments, it is possible to reduce the progress of the disease and it can be used in the field of prevention and treatment of diabetic patients and prevention of subsequent lesions and complications.