Early Screening Strategies for Diabetes Mellitus by Leveraging Dental Visits Using Optimal Screening Tools Available Onsite.

Diabetes mellitus (DM) continues to be a major health concern in the Western hemisphere, and the management of type 2 DM (T2DM) is an ongoing challenge for the American healthcare system despite major advances in DM research. T2DM imparts a massive economic burden, and a major challenge in managing T2DM continues to be timely screening. Adults are more likely to visit a dentist than a primary care physician. This study was designed to compare current screening standards recommended by the American Diabetes Association with the use of gingival-crevicular blood and its compatibility with traditional methods using a fingerstick. Patients routinely presenting to the dental clinic were offered participation in the trial and, after informed consent, checked for blood glucose levels using the fingerstick method as a control. The control values were compared to the results of the gingival-crevicular blood glucose test obtained during the dental procedure from the same patient (i.e., patients were their own controls). A total of 226 study participants were included. Of these, 127 (56.1%) participants were women, whereas 99 (43.9%) participants were men. The sample size was derived using the Slovin's equation (Power = 80%) statistical test. We used the Pearson coefficient test to measure the statistical difference between the two tests. We found no significant difference in glucose readings between the fingerstick method and the gingival methods of collection (t = -1.134, P = 0.258). A small sample was also tested for glycosylated hemoglobin (HbA1c) using the same sample collecting methods. However, due to the cost restraints involved in using HbA1c kits, a statistically significant cohort could not be collected. By incorporating this interdisciplinary approach, testing for DM during routine dental visits can be a vital resource for the early diagnosis of DM, potentially leading to significant savings in future healthcare costs.