Simple Algorithm for Predicting 10-Year Risk for Type 2 Diabetes

A clinical algorithm using “routinely collected data” rather than laboratory measurements can help determine a patient’s 10-year risk for developing type 2 diabetes, researchers report online in BMJ. 

 The final algorithm included age, BMI, family history of diabetes, smoking status, treated hypertension, corticosteroid use, presence of cardiovascular disease, socioeconomic status, and self-reported ethnicity. Overall, it performed well, with close correspondence between predicted and observed risk. (The risk calculator is available online; see link.) 

 The authors conclude that their tool “might be used to identify and proactively intervene in [high-risk individuals].”

Link:al artículo de  BMJ: