The Intelligent Prevention And Control System And Strategy For The Whole Disease Cycle Of Diabetic Nephropathy

What this Trial Is About

Researchers are examining diabetic nephropathy, a serious complication of diabetes that leads to kidney failure and premature death worldwide. This observational study aims to create a comprehensive life-cycle database by expanding existing large natural population and follow-up cohorts. The goal is to identify risk factors, clinical features, and biomarkers throughout the disease stages and to develop new imaging and assessment methods for microvascular complications involving organs like the kidney and eye. The study follows individuals with type 2 diabetes, tracking their health from diagnosis until kidney dysfunction or renal endpoints occur. Patients with diabetic nephropathy will also be observed until these renal endpoints develop. The project integrates artificial intelligence to analyze diverse medical data and build risk prediction models, while promoting new technologies and medical quality control systems to improve prevention and treatment strategies for diabetic nephropathy. Participants will undergo ongoing evaluations including clinical data collection, imaging, and functional assessments over several years. The primary outcome measured is the incidence of complex renal endpoints within three years. The study supports continuous monitoring with a focus on improving medical care quality, reducing the progression to end-stage kidney disease, and providing long-term services for medical institutions.

The Intelligent Prevention And Control System And Strategy For The Whole Disease Cycle Of Diabetic Nephropathy