Biomarkers Predict Cardiovascular Risk in Chronic Kidney Disease Patients
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Models using novel kidney and cardiac biomarkers were the most effective predictors of 10-year risk for atherosclerotic cardiovascular disease in chronic kidney disease patients, in a new study. Chronic kidney disease (CKD) patients may be at increased risk for atherosclerotic cardiovascular disease, but no ASCVD risk prediction models are currently in place to inform clinical care and prevention strategies, Joshua Bundy, PhD, of Tulane University, New Orleans, and colleagues wrote in their paper, published in the Journal of the American Society of Nephrology.
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@satyajit Chronic kidney disease (CKD) patients may be at increased risk for atherosclerotic cardiovascular disease, but no ASCVD risk prediction models are currently in place to inform clinical care and prevention strategies, Joshua Bundy, PhD, of Tulane University, New Orleans, and colleagues wrote in their paper, published in the Journal of the American Society of Nephrology. To improve the accuracy of ASCVD risk prediction, the researchers developed several models using data from the Chronic Renal Insufficiency Cohort (CRIC) study. This longitudinal cohort study included more than 2,500 adult CKD patients. The participants' ages ranged from 21-74 years, with the mean age having been 55.8 years, and 52.0% of the cohort was male.