» Articles » PMID: 25662777

Screening for Prediabetes and Type 2 Diabetes in Dental Offices

Overview
Specialties Dentistry
Public Health
Date 2015 Feb 10
PMID 25662777
Citations 30
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Most Americans see dentists at least once a year. Chair-side screening and referral may improve diagnosis of prediabetes and diabetes. In this study, we developed a multivariate model to screen for dysglycemia (prediabetes and diabetes defined as HbA1c ≥5.7 percent) using information readily available to dentists and assessed the prevalence of dysglycemia in general dental practices.

Methods: We recruited 1,033 adults ≥30 years of age without histories of diabetes from 13 general dental practices. A sample of 181 participants selected on the basis of random capillary glucose levels and periodontal status underwent definitive diagnostic testing with hemoglobin A1c. Logistic models were fit to identify risk factors for dysglycemia, and sample weights were applied to estimate the prevalence of dysglycemia in the population ≥30 years of age.

Results: Individuals at high risk for dysglycemia could be identified using a questionnaire that assessed sex, history of hypertension, history of dyslipidemia, history of lost teeth, and either self-reported body mass index ≥35 kg/m(2) (severe obesity) or random capillary glucose ≥110 mg/dl. We estimate that 30 percent of patients ≥30 years of age seen in these general dental practices had dysglycemia.

Conclusions: There is a substantial burden of dysglycemia in patients seen in general dental practices. Simple chair-side screening for dysglycemia that includes or does not include fingerstick random capillary glucose testing can be used to rapidly identify high-risk patients.

Practical Implications: Further studies are needed to demonstrate the acceptability, feasibility, effectiveness, and cost-effectiveness of chair-side screening.

Citing Articles

2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025.

Diabetes Care. 2024; 48(Supplement_1):S27-S49.

PMID: 39651986 PMC: 11635041. DOI: 10.2337/dc25-S002.


Insights to the emerging potential of glucokinase activators as antidiabetic agent.

Mehra A, Kumar S, Mittal A, Kohli R, Mittal A Pharm Pat Anal. 2024; 13(1-3):53-71.

PMID: 39316577 PMC: 11449038. DOI: 10.1080/20468954.2024.2389762.


Current scientific evidence for why periodontitis should be included in diabetes management.

Borgnakke W Front Clin Diabetes Healthc. 2024; 4:1257087.

PMID: 38274772 PMC: 10809181. DOI: 10.3389/fcdhc.2023.1257087.


2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024.

Diabetes Care. 2023; 47(Suppl 1):S20-S42.

PMID: 38078589 PMC: 10725812. DOI: 10.2337/dc24-S002.


Pre-Procedure Blood Sugar Levels in Diabetic and High-Risk Patients Visiting King Abdulaziz University Dental Hospital: The Role of the Dentist in Diabetes Screening.

Al-Sebaei M, Bamashmous M, Bassyoni L, Alsubaie R, Alnahdi D Diabetes Metab Syndr Obes. 2023; 16:1021-1027.

PMID: 37077578 PMC: 10106814. DOI: 10.2147/DMSO.S405676.


References
1.
Strauss S, Tuthill J, Singh G, Rindskopf D, Maggiore J, Schoor R . A novel intraoral diabetes screening approach in periodontal patients: results of a pilot study. J Periodontol. 2011; 83(6):699-706. PMC: 3356789. DOI: 10.1902/jop.2011.110386. View

2.
Greenberg B, Glick M, Frantsve-Hawley J, Kantor M . Dentists' attitudes toward chairside screening for medical conditions. J Am Dent Assoc. 2010; 141(1):52-62. DOI: 10.14219/jada.archive.2010.0021. View

3.
Ramachandran A, Snehalatha C, MARY S, Mukesh B, Bhaskar A, Vijay V . The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia. 2006; 49(2):289-97. DOI: 10.1007/s00125-005-0097-z. View

4.
Engelgau M, Thompson T, Smith P, Herman W, Aubert R, Gunter E . Screening for diabetes mellitus in adults. The utility of random capillary blood glucose measurements. Diabetes Care. 1995; 18(4):463-6. DOI: 10.2337/diacare.18.4.463. View

5.
Baan C, Ruige J, Stolk R, Witteman J, Dekker J, Heine R . Performance of a predictive model to identify undiagnosed diabetes in a health care setting. Diabetes Care. 1999; 22(2):213-9. DOI: 10.2337/diacare.22.2.213. View