An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes
Response to Schulze et al.
- Kuo-Liong Chien, MD, PHD
- From the Institute of Preventive Medicine, College of Public Health, National Taiwan University and the Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Address correspondence to Kuo-Liong, Institute of Preventive Medicine, College of Public Health, National Taiwan University, Taipei, 100, Taiwan. E-mail: klchien{at}ntu.edu.tw
I read with interest the article by Schulze et al. (1). In this article, they provide a novel risk score algorithm for the risk of diabetes by allocating specific points from
the regression coefficients in the Cox proportional hazards model. Developing a simple, reliable, and valid risk score method
for predicting incident diabetes is useful for screening and management of diabetes risk (2–5). Schulze et al. constructed the score points from the Cox model and estimated the probability (P) of diabetes during the following 5 years based on the formula:
Unfortunately, the above formula was wrong because the sample mean point of the study population was not removed from the
exponential term. The above formula should be modified into the following:
The sample mean point was a constant derived from the product of the regression coefficients and the means (or proportions)
of the risk factors (6).
