Sign up for our FREE Weekly Newsletter
Current Issue
Past Issue
News and Information for Medical Professionals
Search Diabetes In Control
 
 
Bookmark and Share | Print | Category | Home Previous | Next
This article originally posted 19 June, 2007 and appeared in  Issue 369
Simple Clinical Model Predicts Incident Diabetes in Middle-Aged Adults
Obesity, metabolic syndrome traits, and parental diabetes predict the development of type 2 diabetes in middle-aged adults.
"Prediction of chronic conditions like type 2 diabetes mellitus (T2DM) that have a definable onset can help to guide interventions and healthy policy development," Dr. Peter W. F. Wilson, of Emory University School of Medicine, Atlanta, Georgia, and colleagues write. "Prediction rules for T2DM have been developed, but we lack consensus for the most effective approach."

In the current study, the researchers estimated the 7-year risk of T2DM in 3140 middle-aged subjects in the Framingham Offspring Study. The participants had a mean age of 54.0 years. The average body mass index was 27.1, and 12.7% of subjects had impaired glucose tolerance at baseline.

There were a total of 160 cases of new T2DM. Using a number of parameters, the team developed prediction models for T2DM that started simply and progressed to greater levels of complexity.

Specifically, they started with a personal model using characteristics known to each subject (age, sex, body mass index, and parental history of diabetes). They then developed a simple clinical model by adding clinical measurements that included metabolic syndrome traits. Finally, they developed complex clinical models that included the simple clinical model covariates plus 2-hour post-oral glucose tolerance test glucose, fasting insulin, and C-reactive protein levels; the Gutt insulin sensitivity index; or the homeostasis model insulin resistance and the homeostasis model insulin resistance beta-cell indexes.

The personal model variables, with the exception of sex, were significantly predictive of T2DM, the researchers report. Parental history of diabetes and obesity remained significant predictors in the simple clinical model. Other predictors included hypertension, low levels of HDL cholesterol, elevated triglyceride levels, and impaired fasting glucose, but not a large waist circumference.

No further improvement in assessment of risk was found with the complex clinical models over and above the simple clinical model.

"In summary, we found that complex models are not needed to predict T2DM and that information from a typical clinic visit adds to T2DM prediction beyond personal awareness of diabetes risk factors," Dr. Wilson's team concludes. "The simple clinical model we developed should be tested in other population samples to validate our approach, as has been done for prediction of coronary heart disease events."
Arch Intern Med 2007;167:1068-1074.

===========================

Advertisement
For the diabetic patient, it's not the cholesterol that's the problem. It's the number of LDL particles, especially small LDL particles. To see the real risk, use the NMR LipoProfile(r) test, the only test that directly measures the number of LDL particles and the number of small LDL particles - the particles shown to be more predictive of CHD events than LDL-C. Click here to learn more.

 

Bookmark and Share | Print | Category | Home

This article originally posted 19 June, 2007 and appeared in  Issue 369

Past five issues: Issue 495 | Issue 494 | Issue 493 | Issue 492 | Issue 491 |

Diabetes In Control Advertisers

Print This Week's Newsletter
Download This Week's Newsletter
Newsletter is in Adobe format
If you don't haveAdobe Acrobat Reader , you can download it for Free here .

Free CE Available
CE Programs On Diabetes Available here



Text Advertisement


Search Articles On Diabetes In Control
Sign up for our FREE Weekly Newsletter
Current Issue
Past Issue
Privacy / Advertising With Us / Contact Us
Add us to your favorite news reader
DISCLAIMER: The content of this Website is independent of the views of our advertisers and sponsors. The site is designed primarily for use by qualified physicians and other medical professionals. The information contained herein should NOT be used as a substitute for the advice of an appropriately qualified and licensed physician or other health care provider. The information provided here is for educational and informational purposes only. In no way should it be considered as offering medical advice. Please check with a physician if you suspect you are ill.