Chronic Kidney Disease Registry Platform Study
brief summary
This is a multicenter, prospective, observational registry platform study which is designed to establish a CKD registry platform by collecting data on the demographics, etiology and staging, clinical characteristics, diagnostic and treatment patterns, and clinical outcomes of patients with chronic kidney disease (CKD), to describe the current status of the diagnosis and treatment of patients with CKD and the gaps from the diagnostic and treatment guidelines, explore the risk factors for disease progression and clinical outcomes in CKD patients, and construct a risk prediction model for CKD progression and clinical outcomes
detailed description
Chronic Kidney Disease (CKD) is characterized by its high prevalence, low awareness, poor prognosis, and high medical costs, which seriously jeopardize human health. High-risk factors such as severe proteinuria and uncontrolled hypertension further exacerbate the progression of CKD, leading to adverse kidney outcomes, cardiovascular diseases, hospitalizations, and increased mortality. Given these challenges, establishing a registry platform for high-risk CKD patients in China is essential.
This multicenter, prospective, observational registry study aims to comprehensively gather data on the demographic and clinical characteristics, diagnosis and treatment patterns, clinical outcomes, and healthcare resource utilization among high-risk CKD patients in China, which will facilitate the exploration of risk factors associated with CKD progression and clinical outcomes and support the development of predictive models for these outcomes. During the study period from 2023 to 2027, we plan to enroll approximately 5,000 Chinese CKD patients across at least 37 study sites. The study will establish different CKD subpopulations, including but not limited to CKD with High Proteinuria and CKD with Hypertension. Baseline data and annual follow-up data will be collected for the enrolled CKD patients. By establishing this CKD registry platform, we aim to describe the current status of the diagnosis and treatment of CKD patients, identify gaps from diagnostic and treatment guidelines, explore risk factors for disease progression and clinical outcomes, and construct risk prediction models for CKD progression and clinical outcomes.