13 New Biomarkers Could Help Better Predict Heart Disease Risk in People with Type 2 Diabetes

Research combining the work of international experts has identified 13 biomarkers that can help scientists more accurately predict the risk of cardiovascular disease (CVD) in patients with Type 2 Diabetes (T2D). Previous risk scores have been proven to be outdated and poorly designed for diverse populations, making them ineffective in a clinical setting. While T2D patients as a whole have double the risk of developing CVD when compared to the general population, it is important for healthcare providers to identify which patients have a particularly elevated risk for the disease. Out of the 321 biomarkers researchers studied, 13 stood out for their potential to predict the development of cardiovascular disease. One biomarker, abbreviated NT-proBNP, consistently demonstrated a positive correlation between its levels and the risk of developing CVD in patients with T2D. While more research is needed to establish these relationships, these findings are promising. With more accurate identification of CVD risk, T2D patients can be treated earlier and more aggressively to combat the development of cardiovascular disease.

To read the full article from Johns Hopkins Medicine, click here.