Method for predicting risk of end-stage renal disease in patient diagnosed with diabetic nephropathy through renal biopsy within three years

Abstract

The invention relates to a method for predicting the risk of the end-stage renal disease in a patient diagnosed with diabetic nephropathy through renal puncture biopsy within three years. The method comprises the following steps that clinical data of a large number of patients who are diagnosed with the diabetic nephropathy through the renal puncture biopsy pathology and do not suffer from the end-stage renal disease is collected, whether or not the patients suffer from the end-stage renal disease is judged after 3 years of follow-up visit; according to the follow-up visit results, diabetic nephropathy pathological grades, cystatin C and 3GFR data of the patients diagnosed with the diabetic nephropathy through the renal puncture biopsy are collected, and a predictive risk equation of a prediction model is obtained. Accordingly, the risk of the patients suffering from the end-stage renal disease is helped to be judged according to initial detection data, early intervention is achieved,and the progress of the renal disease is delayed. According to the risk prediction method, early clinical risk prediction and reasonable systematic management can be provided for more patients definitely diagnosed with the diabetic nephropathy.

Description

technical field [0001] The invention relates to the field of kidney disease risk prediction, in particular to a method for predicting the risk of diabetic nephropathy patients diagnosed with renal biopsy entering end-stage renal disease within 3 years. Background technique [0002] Diabetes is one of the most common metabolic disorders in the world. In China, the overall prevalence of diabetes in adults was estimated to reach 10.9% in 2013, while diabetic nephropathy is the most common microvascular complication of diabetes, accounting for about 35% of patients with type 2 diabetes and significantly increasing their mortality. In Europe and the United States, diabetic nephropathy accounts for about 45% of patients with end-stage renal disease, and has become the main cause of end-stage renal disease. Diabetic nephropathy surpasses glomerulonephritis in percentage and has become the leading cause of chronic kidney disease (CKD) in the general population and in the hospitaliz...

AI Technical Summary

Problems solved by technology

However, this model is mainly aimed at all patients with chronic kidney disease stage 3-4, and patients with diabetic nephropathy have a higher risk of entering end-stage renal disease than other patients with chronic kidney disease. Is the current KFRE model more effective for patients with diabetic nephropathy? Good predictability is uncertain

However, other risk models for the prediction of diabetic nephropathy are mostly mentioned in the literature, and have not been further transformed into forms such as web calculators or APPs, and cannot be widely used in clinical practice.

According to the above, these studies will undoubtedly have some errors in clinical diagnosis of diabetic nephropathy but renal biopsy confirmed non-diabetic nephropathy, which will lead to inevitable bias in the research results

Images