September 12, 2025Circulation Genomic and Precision Medicine
Large-Scale Proteomics-Based Risk Score for the Prediction of Incident Cardio-Kidney-Metabolic Disease Risk
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Discussion
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Implication
Analysis using a risk score demonstrated enhanced prediction of CKM disease in a large cohort, indicating significance of proteomics.
Key Points
- A risk score derived from proteomics significantly predicts incident CKM disease risk.
- In the validation cohort, the risk score had a hazard ratio of 1.87, indicating strong predictive ability.
- The addition of the risk score improved C-index from 0.71 to 0.73, enhancing prediction accuracy.
- The findings highlight the utility of proteomics in refining CKM disease risk assessment beyond traditional factors.
Cite This Study
Yadalam et al. (2025) studied this question.