Description

Primary IgA nephropathy (IgAN) is the most common form of glomerulonephritis in China and the world. It is the main reason for Chinese young people's renal failure. The main difficulties in clinical IgAN and treatment are 1) high clinical and prognostic heterogeneity, the prognosis cannot be accurately predicted; 2) no clinically available biomarkers, diagnosis is established by kidney biopsy; 3) The lack of specific treatment methods. These lead 20-40% of IgAN patients to develop end-stage renal failure (ESRD) after 10 to 20 years. Therefore, to improve clinical diagnosis, treatment, and scientific research of IgAN, it is much-needed to establish high-quality long-term cohort study, multi-center database, biobank, and conduct high-quality clinical research.

The incidence of IgAN in the Asia Pacific region is higher than in other regions, and China is one of the countries with the highest incidence of IgAN in the world. Although the number of IgAN patients in our country is vast and the clinical data and patient sample resources are abundant, the clinical diagnosis and treatment are not standardized, the follow-up rate is low, and the quality of clinical data is poor, which seriously affect the development of related clinical research. Therefore, optimization and integration of health care big data under careful top-level design is urgently needed.

Regarding IgAN, the Nephrology Department of Ruijin Hospital has been active in clinical database construction and clinical biobank management and has carried out several clinical and basic research. The world's largest IgAN cohort-CRPIGA cohort has been established, all patients in the cohort are followed up in a standardized manner by special personnel, and the data is recorded in a clinical database in real-time. However, optimization and integration of health care big data under careful top-level design is urgently needed. It is to establish IgAN specific disease structured data set standard in a multi-center linkage mode, formulate IgAN diagnosis and treatment specifications and clinical pathway standards, develop structured clinical case diagnosis and treatment information collection template, real-time scrape the actual clinical IgAN diagnosis and treatment data of various hospitals through the big data platform of health care consortium, clean and structure the acquired data, establish a multi-center structured database, integrate resources, strengthen advantages, and provide a qualified database for clinical research in the real world. All diagnosis and treatment data for the same patient are linked and integrated to offer individual patient-based longitudinal tracking records and support evidence-based medicine.

This study aims to improve the scale and quality of the IgAN multi-center cohort database, advance the clinical and basic research of IgAN, standardize and optimize the clinical diagnosis and treatment path of IgAN, provide more effective and safe treatment options for more IgAN patients and also provide evidence-based medicine evidence support.