|Articles|February 10, 2022

Improving Models to Boost Prediction of CVD Issues in Patients With CKD

Adding risk factors specific to patients with chronic kidney disease (CKD) to risk prediction models for cardiovascular disease (CVD) could improve risk prediction capabilities for a population of patients often subject to invasive diagnostic procedures, investigators concluded.

Investigators found that implementing changes for prediction models for the risk of developing cardiovascular problems in the general population could help improve risk prediction in patients with chronic kidney disease (CKD)1.

The prospective longitudinal cohort study, published in the Journal of the American Society of Nephrology, supported the use of CKD-specific tools to predict the long-term risks of experiencing atherosclerotic cardiovascular disease (ASCVD) in patients with CKD, a population with different risk profiles compared with the general population.

“The new tools may better assist healthcare providers and patients with CKD in shared decision-making for the prevention of heart disease,” said Joshua D. Bundy, PhD, MPH, one of the lead study authors and an epidemiologist at Tulane University School of Public Health and Tropical Medicine, in a statement2.

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