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Cardiovascular-Kidney-Metabolic (CKM) syndrome underscores the pathophysiologic interplay among metabolic risk factors, chronic kidney disease (CKD) and the cardiovascular system. This crosstalk precipitates multi-organ dysfunction, increases adverse cardiovascular events, and imposes heavy familial and socioeconomic burdens. Building a health-management platform within research wards is therefore urgent. Such a platform is the pivotal venue for assessment, monitoring, intervention and follow-up in continuous care.
Leveraging the existing health-management system of the Health Screening Center at Peking University Third Hospital, the investigators will develop a comprehensive CKM platform that integrates systemic inflammatory biomarkers, cardiovascular early-warning algorithms, and personalized diet-and-exercise prescriptions. The system will provide cyclic management encompassing evaluation, guidance, monitoring, feedback and longitudinal follow-up.
A randomized controlled trial with two-year prospective follow-up will enroll patients at CKM stages 0-2 to evaluate clinical improvement, quality of life, dietary behavior and physical activity after platform enrollment. The project will enable early identification of high-risk individuals, deliver precision management, maximize data utility, and offer a novel research-ward model that addresses mobile-health pain points and closes the CKM care loop.
Full description
1.Construction of a Comprehensive CKM Health-Management Platform
2. Deployment and feasibility evaluation CKM stage 0-2 patients meeting diagnostic criteria will receive two-year comprehensive management via the platform. Clinical metrics and quality-of-life indices will be used to evaluate feasibility, early identification of high-risk individuals, improvement of composite CKM endpoints and patient-centred outcomes.
3. Innovation highlights This project will deliver the first Chinese integrated health-information platform dedicated to CKM syndrome. It unites systemic inflammatory biomarkers, cardiovascular (early-warning) algorithms and individualised diet/exercise modules into one (closed-loop) system that continuously monitors, profiles, analyses, risk-stratifies, manages and follows each patient. Multi-dimensional data (physiology, lifestyle, genetics) feed an individualised management cycle of "monitor-profile-analyse-risk-score-intervene-follow-up", offering a novel methodologic and theoretical framework for early risk detection and precision intervention in CKM.
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150 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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