An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes
Response to Schulze et al.
- Peter E.H. Schwarz, MD1,
- Jiang Li, MD1,
- Heiko Wegner, MD1,
- Stefan R. Bornstein, MD, PHD1,
- Joana Lindström, PHD23 and
- Jaakko Tuomilehto, MD, PHD24
- 1Department of Medicine III, Medical Faculty Carl Gustav Carus of the Technical University Dresden, Dresden, Germany
- 2Department of Public Health, University of Helsinki, Helsinki, Finland
- 3Diabetes Unit, Department of Health Promotion and Chronic Disease Prevention, National Public Health Institute, Helsinki, Finland
- 4South Ostrobothnia Central Hospital, Seinäjoki, Finland
- Address correspondence to Dr. Peter E.H. Schwarz, Department of Medicine III, Medical Faculty Carl Gustav Carus of the Technical University Dresden, Building 10, Room 108, Fetscherstrasse 74, 01309, Dresden, Germany. E-mail: peter.schwarz{at}uniklinikum-dresden.de
We read with interest the article by Schulze et al. (1) that describes the development of the accurate German Diabetes Risk Score (DRS) to predict the development of type 2 diabetes. There is a clear consensus that it is necessary to have simple noninvasive tools for screening diabetes risk in order to identify persons who are eligible for further diagnostic assessments or preventive interventions (2).
An alternative test is the Finnish DRS (3), which is based on a categorical model and currently used in population-based type 2 diabetes prevention projects in several countries. In practice, the Finnish DRS score can be …
