Tulane researchers create a better model to predict heart risks in patients with kidney disease


A team led by Dr. Jiang He (left) and Joshua Bundy, PhD, (right) has developed a new method to help doctors better calculate cardiovascular risks for patients with chronic kidney disease.

Tulane University researchers have developed a new method to help doctors better calculate the 10-year risk of stroke, heart attack and other cardiovascular problems in patients with kidney failure chronic.

The findings were published in JASN, the journal of the American Society of Nephrology.

People with chronic kidney disease (CKD) often develop atherosclerotic cardiovascular disease (CVD), but common predictive tools for determining a person’s CVD risk have been developed for the general population and may not include some relevant factors for patients with CKD. Improving the prediction of CVD risk in patients with CKD can help identify those among this growing population who are truly high risk, as well as identify those who are low risk and less likely to benefit from invasive interventions.

A team led by Dr. Jiang He, Joseph S. Copes MD Chair in Epidemiology, and Joshua Bundy, PhD, assistant professor of epidemiology at Tulane University’s School of Public Health and Tropical Medicine , aimed to create new models using several clinically available variables and new biomarkers of particular importance in patients with CKD.

In the researchers’ analysis of 2,604 participants in the Chronic Kidney Disease Cohort Study, they found that several factors not included in previous prediction models were important in predicting atherosclerotic cardiovascular disease in patients. with CKD. These included measurements of long-term blood glucose (HbA1c), inflammation (high-sensitivity C-reactive protein), kidney damage (urine albumin-creatinine ratio), and heart damage (troponin-T and NT -proBNP).

“We have created two new predictive tools for patients with CKD: the first is a simple model that includes factors regularly measured by healthcare providers and the second is an extended model with additional variables that are particularly important for CKD patients, including long-term blood measurements. sugar, inflammation and kidney and heart damage,” he said. “We found that the new models are better able to classify patients who will or will not have a stroke or heart attack within 10 years compared to the standard models.”

“The new tools can better assist healthcare providers and CKD patients in shared decision making for heart disease prevention,” Bundy added.


About Author

Comments are closed.