Researchers found that, in this at-risk?dental population, a simple algorithm composed of only dental parameters (number of missing teeth & percentage of deep periodontal pockets) was effective in identifying patients with unrecognized pre-diabetes or diabetes. The addition of the point-of-care A1c check was of significant value, further improving the performance of this algorithm.?Early recognition of diabetes has been the focus of efforts from medical & public health colleagues for years, as early treatment of affected individuals can limit the development of lots of serious complications,? says Dr. Evanthia Lalla, an associate professor at the College of Dental Medicine, & the lead author on the paper. ?Relatively simple lifestyle changes in pre-diabetic individuals can prevent progression to frank diabetes, so identifying this group of individuals is also important,? he adds. ?Our findings provide a simple approach that can be basically used in all dental-care settings.?
Source: http://www.thewarwiki.com/health-and-fitness/dental-care-and-diabetes/
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