Limitations and next steps
“Although we externally validated our models in two population-based cohort studies, the individuals in these datasets were selected based on only one assessment of kidney function,” Dr. Bundy noted. “Furthermore, the best practices for implementing risk prediction models in the clinic remain to be determined, especially as new models are developed.
“While our models show promising performance for predicting 10-year risk of atherosclerotic CVD, more clinical trials are needed to test implementation of these models for improving patient care and disease prevention.”
The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. Additional support came from the University of Pennsylvania Clinical and Translational Science Award, Johns Hopkins University, the University of Maryland, Clinical and Translational Science Collaborative of Cleveland, the National Center for Advancing Translational Sciences component of the National Institutes of Health and NIH roadmap for Medical Research, Michigan Institute for Clinical and Health Research, University of Illinois at Chicago, Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases, Kaiser Permanente, and the University of New Mexico. Lead author Dr. Bundy was supported by the National Institutes of Health/Eunice Kennedy Shriver National Institute of Child Health and Human Development. The researchers had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose.
This article was updated on 2/17/2021.