German Diabetes Risk Score May Predict Development of Type 2 Diabetes

The German Diabetes Risk Score which is based on anthropometric, dietary, and lifestyle factors, was an effective tool to identify patients at high risk or with undiagnosed diabetes, according to the results of a study.  "We aimed to develop a precise risk score for the screening of large populations for individuals at high risk of developing type 2 diabetes based on noninvasive measurements of major risk factors in German study populations," write Matthias B. Schulze, DrPH, of the German Institute of Human Nutrition Potsdam-Rehbruecke in Nuthetal, Germany, and colleagues. "In contrast to the Finrisk score, we did not use broad categories for age and anthropometric risk factors in order to use the full information from these continuous variables."

The European Prospective Investigation into Cancer and Nutrition (EPIC-Potsdam) study is a prospective cohort study of 9729 men and 15,438 women aged 35 to 65 years. The investigators used data from this cohort to weigh each variable and to derive a risk score predicting incident type 2 diabetes. The German Diabetes Risk Score included information on age, waist circumference, height, history of hypertension, physical activity, smoking, and consumption of red meat, whole-grain bread, coffee, and alcohol. The mean score was 446 points (range, 118 – 983).

The probability of developing diabetes within 5 years in the EPIC-Potsdam study increased from 0.3% for a score of 300 to 23.2% for a score of 750

"The German Diabetes Risk Score (available at https://drs.dife.de/en )s an accurate tool to identify individuals at high risk for or with undiagnosed type 2 diabetes," the authors write.

"Te measurements and the deduced German Diabetes Risk Score performed similarly well in the two EPIC cohorts and predicted insulin resistance in two other cohorts with acceptable accuracy," the authors conclude.

Practice Pearls 

• A previous clinical screening tool was useful in predicting the risk for incident type 2 diabetes but was even more useful when data regarding fasting glucose and lipid levels were added to the algorithm.
• The German Diabetes Risk Score uses waist circumference, height, age, the presence of hypertension, consumption of red meat, consumption of whole-grain bread, consumption of coffee, alcohol intake, physical activity, and smoking history to predict the risk of developing type 2 diabetes.

Diabetes Care. 2007;30:510-515.

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