Why the study?
Traditional CVD risk factors have diminished predictive utility in advanced CKD, and existing prediction models based solely on traditional risks show limitations and inaccuracies.
Does a risk prediction model integrating clinical, inflammatory, and imaging parameters improve the prediction of 5-year CVD events in patients with CKD stages 3-5 compared to traditional risk factors?
Population
Three hundred and one patients with CKD stage 3-5
Comparison
Model integrating clinical, inflammatory, and imaging parameters vs traditional risk models
Design
Retrospective model development and internal validation study
Follow-up
5 years
Key result
A prediction model integrating clinical, inflammatory, and imaging parameters accurately predicted 5-year CVD risk in patients with CKD stages 3-5 (AUC 0.845; 95% CI 0.802-0.888).
Authors
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A novel risk prediction model incorporating CRP and interventricular septum thickness alongside traditional risk factors accurately predicts 5-year CVD events in patients with advanced CKD.
Cohort (n=301)
Does a risk prediction model integrating clinical, inflammatory, and imaging parameters improve the prediction of 5-year CVD events in patients with CKD stages 3-5 compared to traditional risk factors?
Effect estimate: AUC 0.845 (95% CI 0.802-0.888)
A novel risk prediction model incorporating CRP and interventricular septum thickness alongside traditional risk factors accurately predicts 5-year CVD events in patients with advanced CKD.
Liu et al. (2026) conducted a cohort in Chronic kidney disease stage 3-5 (n=301). Full prediction model integrating clinical, inflammatory (CRP), and imaging (IVS) parameters vs. Traditional risk factors was evaluated on First cardiovascular disease event within 5 years (AUC 0.845, 95% CI 0.802-0.888). A prediction model integrating clinical, inflammatory, and imaging parameters accurately predicted 5-year CVD risk in patients with CKD stages 3-5 (AUC 0.845; 95% CI 0.802-0.888).