A policy model of cardiovascular disease in moderate-to-advanced chronic kidney disease

Area of Science:

• Nephrology
• Cardiology
• Health Economics
• Biostatistics

Background:

• Cardiovascular disease (CVD) is a major cause of mortality in patients with chronic kidney disease (CKD).
• Accurate risk prediction models are crucial for managing CVD in moderate-to-advanced CKD.
• Existing risk scores may not adequately capture the complex interplay between CKD progression and CVD events.

Purpose of the Study:

• To develop and validate a long-term policy model for cardiovascular disease (CVD) in patients with moderate-to-advanced chronic kidney disease (CKD).
• To provide individualized risk estimates for CKD progression and associated cardiovascular events.
• To serve as a resource for evaluating health outcomes and cost-effectiveness of interventions in CKD.

Main Methods:

• Development of a Markov state-transition model incorporating CKD stages (3B, 4, 5, dialysis, transplant) and cardiovascular events.
• Estimation of individualized CKD and CVD risks using multivariate parametric survival analysis on data from 9270 patients in the Study of Heart and Renal Protection (SHARP).
• Validation of the model in three external CKD cohorts and comparison with existing risk scores.

Main Results:

• The model accurately predicted CKD and CVD risks, aligning well with observed data in SHARP and external cohorts.
• Key risk contributors included higher age, prior cardiovascular events, and advanced CKD.
• The developed model demonstrated superior or comparable performance to existing risk scores in predicting vascular risk and progression to end-stage renal disease.

Conclusions:

• The SHARP CKD-CVD model offers a novel and robust tool for assessing health outcomes in CKD patients.
• The model facilitates the evaluation of cost-effectiveness for interventions aimed at mitigating CVD in CKD.
• This model can inform public health policies and clinical decision-making for the CKD population.