Implementation of an Oral Care Protocol for Primary Diabetes Care: A Pilot Cluster-Randomized Controlled Trial.

PURPOSE: Although diabetes care guidelines recommend paying attention to oral health, the effect on daily practice has been limited, and patients with diabetes have yet to benefit. We investigated whether implementation of an oral care protocol for general practitioners (GPs [family physicians]) can improve patient-centered outcomes for patients with type 2 diabetes. METHODS: Twenty-four GP offices were randomly assigned to the experimental or control group (12 offices each). In the experimental group, GPs and nurse practitioners implemented an oral care protocol. No extra attention was given to oral health in the control group. The primary outcome parameter was oral health-related quality of life (QoL) assessed with the 14-item Oral Health Impact Profile at baseline and 1 year later. Other outcomes were self-reported oral health complaints and general health-related QoL (36-item Short Form Health Survey). RESULTS: Of 764 patients with type 2 diabetes, 543 (71.1%) completed the 1-year follow-up. More patients reported improved oral health-related QoL in the experimental group (35.2%) compared to the control group (25.9%) (P = .046; Padj = .049). In a secondary post hoc analysis including GP offices with ≥60% patient follow-up (n = 18), improvement was 38.3% and 24.9%, respectively (P and Padj = .011). Improvement of self-reported oral health complaints did not differ between groups. The intervention had no effect on general health-related QoL, with the exception of the concept scale score for changes in health over time (Padj = .033). CONCLUSIONS: Implementation of an oral care protocol in primary diabetes care improved oral health-related QoL in patients with type 2 diabetes.

A rapid, non-invasive tool for periodontitis screening in a medical care setting.

BACKGROUND: Since periodontitis is bi-directionally associated with several systemic diseases, such as diabetes mellitus and cardiovascular diseases, it is important for medical professionals in a non-dental setting to be able examine their patients for symptoms of periodontitis, and urge them to visit a dentist if necessary. However, they often lack the time, knowledge and resources to do so. We aim to develop and assess "quick and easy" screening tools for periodontitis, based on self-reported oral health (SROH), demographics and/or salivary biomarkers, intended for use by medical professionals in a non-dental setting. METHODS: Consecutive, new patients from our outpatient clinic were recruited. A SROH questionnaire (8 questions) was conducted, followed by a 30 s oral rinse sampling protocol. A complete clinical periodontal examination provided the golden standard periodontitis classification: no/mild, moderate or severe periodontitis. Total periodontitis was defined as having either moderate or severe. Albumin and matrix metalloproteinase-8 concentrations, and chitinase and protease activities were measured in the oral rinses. Binary logistic regression analyses with backward elimination were used to create prediction models for both total and severe periodontitis. Model 1 included SROH, demographics and biomarkers. The biomarkers were omitted in the analysis for model 2, while model 3 only included the SROH questionnaire. The area under the receiver operating characteristic curves (AUROCC) provided the accuracy of each model. The regression equations were used to create scoring algorithms, composed of the remaining predictors, each with its own weight. RESULTS: Of the 156 patients participating in this study, 67% were classified with total periodontitis and 33% had severe periodontitis. The models for total periodontitis achieved an AUROCC of 0.91 for model 1, 0.88 for model 2 and 0.81 for model 3. For severe periodontitis, this was 0.89 for model 1, 0.82 for model 2 and 0.78 for model 3. The algorithm for total periodontitis (model 2), which we consider valid for the Dutch population, was applied to create a freely accessible, web-based screening tool. CONCLUSIONS: The prediction models for total and severe periodontitis proved to be feasible and accurate, resulting in easily applicable screening tools, intended for a non-dental setting.

Evaluating All Potential Oral Complications of Diabetes Mellitus.

Diabetes mellitus (DM) is associated with several microvascular and macrovascular complications, such as retinopathy, nephropathy, neuropathy, and cardiovascular diseases. The pathogenesis of these complications is complex, and involves metabolic and hemodynamic disturbances, including hyperglycemia, insulin resistance, dyslipidemia, hypertension, and immune dysfunction. These disturbances initiate several damaging processes, such as increased reactive oxygen species (ROS) production, inflammation, and ischemia. These processes mainly exert their damaging effect on endothelial and nerve cells, hence the susceptibility of densely vascularized and innervated sites, such as the eyes, kidneys, and nerves. Since the oral cavity is also highly vascularized and innervated, oral complications can be expected as well. The relationship between DM and oral diseases has received considerable attention in the past few decades. However, most studies only focus on periodontitis, and still approach DM from the limited perspective of elevated blood glucose levels only. In this review, we will assess other potential oral complications as well, including: dental caries, dry mouth, oral mucosal lesions, oral cancer, taste disturbances, temporomandibular disorders, burning mouth syndrome, apical periodontitis, and peri-implant diseases. Each oral complication will be briefly introduced, followed by an assessment of the literature studying epidemiological associations with DM. We will also elaborate on pathogenic mechanisms that might explain associations between DM and oral complications. To do so, we aim to expand our perspective of DM by not only considering elevated blood glucose levels, but also including literature about the other important pathogenic mechanisms, such as insulin resistance, dyslipidemia, hypertension, and immune dysfunction.