Association between periodontitis and the prevalence and prognosis of prediabetes: a population-based study

Link between periodontitis and diabetic retinopathy: Inflammatory pathways and clinical implications

The bidirectional relationship between periodontitis and type 2 diabetes mellitus has been well-established. However, the underlying molecular mechanisms remain unclear. Diabetic retinopathy (DR) is an important complication of diabetes, but there are few studies on the relationship between DR and periodontitis, especially on the intrinsic inflammatory pathway mechanism. This article reviews the latest clinical data on how diabetes promotes susceptibility to periodontitis from the epidemiological and molecular perspectives, with a special focus on the key roles of systemic inflammation and endothelial dysfunction in the interplay between DR and periodontitis. Comprehension of the intertwined pathogenesis of DR and periodontitis can better guide the development of comprehensive management strategies for glycemic control and periodontal health, with the aim of mitigating the progression of DR and enhancing overall well-being.

Association of periodontitis with cardiovascular and all-cause mortality in hypertensive individuals: insights from a NHANES cohort study

BACKGROUND

The objective of this research is to clarify the impact of periodontitis on overall and cardiovascular-related death rates among hypertensive individuals.

METHOD

A total of 5665 individuals with hypertension were included from the National Health and Nutrition Examination Survey (NHANES) data spanning 2001-2004 and 2009-2014. These individuals were divided into two groups based on the presence or absence of periodontitis and further stratified by the severity of periodontitis. We employed weighted multivariate Cox proportional hazards regression and Kaplan-Meier curves (log-rank test) to evaluate the impact of periodontitis on all-cause and cardiovascular mortality. Additional analyses, including adjustments for various covariates, subgroups, and sensitivity analyses, were conducted to ensure the robustness and reliability of our results.

RESULT

Over an average follow-up duration of 10.22 years, there were 1,122 all-cause and 297 cardiovascular deaths. Individuals with periodontitis exhibited an elevated risk of all-cause mortality (HR = 1.33, 95% CI 1.18-1.51; p < 0.0001) and cardiovascular mortality (HR = 1.48, 95% CI 1.15-1.89; p = 0.002). Moreover, we observed a progressive increase in both all-cause mortality and cardiovascular mortality (p for trend are both lower than 0.001) and correlating with the severity of periodontitis. These associations remained consistent across various subgroup and sensitivity analyses.

CONCLUSION

Our findings suggest a significant association between periodontitis and increased risks of all-cause and cardiovascular mortality among hypertensive individuals. Notably, the severity of periodontitis appears to be a critical factor, with moderate to severe cases exerting a more pronounced impact on all-cause mortality. Additionally, cardiovascular disease mortality significantlly increases in individuals with varying degrees of periodontitis.

Prediabetes and poorly controlled type-2 diabetes as risk indicators for peri-implant diseases:A systematic review and meta-analysis

OBJECTIVE

The study answers the PECO question: "In adults with dental implants (P), do subjects suffering from type-2 diabetes or prediabetes (E) have worse peri-implant conditions (O) than subjects without type-2 diabetes and prediabetes (C)?". Prediabetes (5.7-6.4 % HbA1c), and the different qualities of glycemic control in type-2 diabetes; well-controlled (>8 % HbA1c), and poorly controlled (>8 % HbA1c) individuals; were classified according to the recommendations of the American Diabetes Association.

DATA

Predefined search keys were used with search terms including: Dental implant, diabetes mellitus, glycemic control and HbA1c.

SOURCES

An electronic search in the MEDLINE, Embase, and Cochrane libraries were conducted without any filters or language restrictions. Additionally, manual search of the reference lists were carried out to identify all relevant articles.

STUDY SELECTION

Eligibility criteria were cohort, case-control and cross-sectional studies that answerd our PECO question with at least 1 year of follow-up. From a total of 2660 records, 35 articles (1761 individuals) were included in the analysis. Meta-analytic difference in means for crestal bone loss was 1.2 mm [95 % CI=0.4; 2.1] in patients with prediabetes, 1.8 mm [CI=1.0; 2.7] in poorly controlled patients, whereas 0.4 mm [CI=-0.3; 1.1] in well-controlled individuals. Meta-regression showed that 1 % increase in HbA1c increased crestal bone loss by 0.24 mm.

CONCLUSIONS

Within the limitations of the study, patients with poorly controlled type-2 diabetes or prediabetes may have worse peri-implant conditions compared to patients without diabetes and well-controlled type-2 diabetes. Well-controlled type-2 diabetes is not a risk indicator for peri-implant diseases.

CLINICAL SIGNIFICANCE

Clinicians should measure blood HbA1c levels when planning implant-supported restorations, thus patients with undiagnosed or poorly controlled type-2 diabetes can be identified, that allows for glycemic level adjustment prior to dental implant surgery, ensuring peri-implant health. PROTOCOL REGISTRATION NUMBER: (CRD42022375263).

Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis

OBJECTIVES

We aim to develop a deep learning model based on a convolutional neural network (CNN) combined with a classification algorithm (CA) to assist dentists in quickly and accurately diagnosing the stage of periodontitis.

MATERIALS AND METHODS

Periapical radiographs (PERs) and clinical data were collected. The CNNs including Alexnet, VGG16, and ResNet18 were trained on PER to establish the PER-CNN models for no periodontal bone loss (PBL) and PBL. The CAs including random forest (RF), support vector machine (SVM), naive Bayes (NB), logistic regression (LR), and k-nearest neighbor (KNN) were added to the PER-CNN model for control, stage I, stage II and stage III/IV periodontitis. Heat map was produced using a gradient-weighted class activation mapping method to visualize the regions of interest of the PER-Alexnet model. Clustering analysis was performed based on the ten PER-CNN scores and the clinical characteristics.

RESULTS

The accuracy of the PER-Alexnet and PER-VGG16 models with the higher performance was 0.872 and 0.853, respectively. The accuracy of the PER-Alexnet + RF model with the highest performance for control, stage I, stage II and stage III/IV was 0.968, 0.960, 0.835 and 0.842, respectively. Heat map showed that the regions of interest predicted by the model were periodontitis bone lesions. We found that age and smoking were significantly related to periodontitis based on the PER-Alexnet scores.

CONCLUSION

The PER-Alexnet + RF model has reached high performance for whole-case periodontal diagnosis. The CNN models combined with CA can assist dentists in quickly and accurately diagnosing the stage of periodontitis.

Evaluating pre-and post-oral health literacy of undergraduate nursing students on an oral-systemic health learning intervention

INTRODUCTION

Oral health is significantly linked with systemic health. Nurses play a crucial role in patient education. Improving oral health literacy in nursing students can pave the way for the seamless integration of oral health into nursing practice.

OBJECTIVE

This study aimed to evaluate an interprofessional co-designed oral-systemic health learning intervention using a pre-and-post study design that measured oral health literacy levels among Year 2 undergraduate nursing students.

METHODS

Evaluation was measured using the validated Comprehensive Measure of Oral Health Knowledge questionnaire before and after the semester-long education intervention. Data were analyzed using independent and paired t-tests and an analysis of variance one-way analysis of variance.

RESULTS

A total of 78 out of 164 students (82% female, 42% aged 21-24, and 52% speaking English as a first language) participated in the pre- and post-study surveys. Statistically significant improvement was noted in pre-and-post total oral health literacy scores (Pre 14.92 [3.85] vs.. Post 15.85 [3.74], p = 0.031). Students showed the highest proficiency in the domain of oral disease prevention, while oral cancer knowledge was the least mastered domain. Those without English as their first language and those with secondary education as the highest qualification showed the greatest improvement in oral health literacy scores post-intervention.

CONCLUSIONS

This study highlights the efficacy of an interprofessional co-designed oral-systemic educational intervention in increasing oral health literacy among undergraduate nursing students. This intervention marks a preliminary step towards integrating oral health into future nursing practice. Further research is warranted to explore the enduring impact of these interventions on their future clinical endeavors.

Clinical attachment loss is cross-sectionally associated with elevated glucose among adults without diabetes

AIM

We investigated whether periodontal measures are cross-sectionally associated with prediabetes and cardiometabolic biomarkers among non-diabetic younger adults.

MATERIALS AND METHODS

One thousand seventy-one participants (mean age = 32.2 years [SE = 0.3]; 73% female) from the Oral Infections, Glucose Intolerance and Insulin Resistance Study were enrolled. Full-mouth clinical attachment loss (fm-CAL), probing depth (fm-PD) and bleeding on probing were ascertained. Interproximal CAL (i-CAL) and probing depths (i-PD) served as our primary exposures. Glucose, HbA1c, insulin and insulin resistance (HOMA-IR) outcomes were assessed from fasting blood. Prediabetes was defined per American Diabetes Association guidelines. Prediabetes prevalence ratios (PR [95% CI]) and mean [SE] cardiometabolic biomarkers were regressed on periodontal variables via multivariable robust variance Poisson regression or multivariable linear regression.

RESULTS

Prevalence of prediabetes was 12.5%. Fully adjusted prediabetes PR in Tertiles 3 versus 1 of mean i-CAL was 2.42 (1.77, 3.08). Fully adjusted fasting glucose estimates across i-CAL tertiles were 83.29 [0.43], 84.31 [0.37], 86.48 [0.46]; p for trend <.01. Greater percent of sites with i-PD ≥3 mm showed elevated natural-log-HOMA-IR after adjustment (0%-12% of sites = 0.33 [0.03], 13%-26% of sites = 0.39 [0.03], ≥27% of sites = 0.42 [0.03]; p for trend = .04).

CONCLUSIONS

i-CAL (vs. fm-CAL) was associated with elevated fasting glucose and prediabetes, whereas i-PD (vs. fm-PD) was associated with insulin resistance. Future studies are needed to examine periodontal disease and incident prediabetes.

Associations between single and multiple dietary vitamins and the risk of periodontitis: results from NHANES 2009-2014

Background

Periodontitis is a prevalent inflammatory periodontal disease that has an impact on the overall quality of life. Although several studies have indicated an association between individual vitamin intake and periodontitis risk, the associations of the multivitamins with periodontitis risk remain unclear.

Aim

This study aimed to explore the joint effect of multivitamins (including vitamin A, vitamin B1, vitamin B2, vitamin B6, vitamin B12, vitamin C, vitamin D, vitamin E, and vitamin K) on periodontitis.

Methods

For this cross-sectional study, data were collected from participants aged ≥ 30 years in the National Health and Nutrition Examination Surveys 2009-2014 (n = 9,820). We employed weighted multivariate logistic regression models to evaluate the single association between individual vitamin intakes and periodontitis, and Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp) models to assess the joint effect of nine vitamins on periodontitis.

Results

The overall prevalence of periodontitis was approximately 35.97%. After adjustment of covariates, vitamin B6 [odds ratio (OR) = 0.82, 95% confidence interval (CI): 0.72-0.94] and vitamin E (OR = 0.79, 95%CI: 0.69-0.92) were negatively related to the likelihood of developing periodontitis, respectively. The result of three models indicated that, mixture of vitamin A, vitamin B1, vitamin B2, vitamin B6, vitamin B12, vitamin C, vitamin D, vitamin E, and vitamin K had a significant negative combined effect on the risk of periodontitis. In the BKMR model, when all remaining vitamins were at their median levels, the periodontitis risk decreased with increased concentration levels of vitamin E and vitamin B2. WQS analysis indicated the highest weighted chemical was vitamin E, followed by vitamin B12 and vitamin D. In the qgcomp model, vitamin E received the highest negative weights for the periodontitis risk, followed by vitamin B2 and vitamin D, respectively.

Conclusion

Both dietary vitamin B6 and vitamin E were associated with decreased odds of periodontitis. Additionally, the mixture-exposed analyses consistently showed the negative correlations between nine dietary vitamins mixtures and periodontitis.

Periodontitis and the incidence of metabolic syndrome: An 8-year longitudinal study of an adult Japanese cohort

AIM

To examine the effect of periodontitis on the development of metabolic syndrome (MetS) and MetS components.

MATERIALS AND METHODS

This study included 4761 participants aged 30-74 years who underwent health examinations at both baseline and 8-year follow-up. The Japanese MetS criteria were used for diagnosis. The Community Periodontal Index was used to assess periodontal status. The association between periodontal status and MetS incidence was examined by Poisson regression analysis.

RESULTS

Multivariate analysis revealed that individuals with a ≥6 mm periodontal pocket had a significantly higher relative risk (RR) for MetS onset, as compared to individuals without deep periodontal pockets (adjusted RR 1.30, 95% confidence interval [CI]: 1.01-1.67). Compared to individuals without a deep periodontal pocket, individuals with a ≥6 mm periodontal pocket had significantly higher RRs for developing two components of MetS; the RRs were 1.25 (95% CI: 1.01-1.56) for abdominal obesity and 1.39 (95% CI: 1.03-1.86) for hyperglycaemia.

CONCLUSIONS

Individuals with periodontitis had a significantly higher risk of MetS onset, possibly due to the influence of periodontitis on abdominal obesity and hyperglycaemia.