Validation of a multivariate prediction rule for history of periodontitis in a separate population

Cross-sectional association between severe periodontitis and diabetes mellitus: A nation-wide cohort study

AIM

To evaluate the cross-sectional association between severe periodontitis and diabetes mellitus (DM), in a representative sample of Spanish population.

MATERIALS AND METHODS

The di@bet.es epidemiological study is a population-based cohort study aimed to determine the prevalence and incidence of DM in the adult population of Spain. The at-risk sample at the final examination (2016-2017) included 1751 subjects who completed an oral health questionnaire. This questionnaire, together with demographic and risk factors, had been previously validated to build an algorithm to predict severe periodontitis in the Spanish population. Logistic regression models were used to evaluate the association between severe periodontitis and DM with adjustment for confounding factors.

RESULTS

In total, 144 subjects developed DM, which yielded 8.2% cumulative incidence. Severe periodontitis was detected in 59.0%, 54.7% or 68.8% of the subjects depending on three different selected criteria at the 2016-2017 exam. All criteria used to define severe periodontitis were associated with DM in unadjusted analysis, but the magnitude of the association decreased after adjusting for significant confounders. The criteria '≥50% of teeth with clinical attachment loss ≥5 mm' presented an odds ratio of 4.9 (95% confidence interval: 2.2-10.7; p ≤ .001) for DM.

CONCLUSIONS

Severe periodontitis is associated with DM in the Spanish population.

Self-Perception of Periodontal Health and Associated Factors: A Cross-Sectional Population-Based Study

The aim of this cross-sectional study was to explore sociodemographic, behavioral, and clinical factors associated with self-awareness of periodontal health. Data were collected from a representative sample of 736 adults (25–75 years old) in a city of Northern Italy who self-assessed gingival bleeding, oral malodor, and tooth mobility in a questionnaire and who underwent clinical periodontal examination and organoleptic evaluation. Approximately 50% of the subjects were aware of their actual gingival health status and oral odor. The logistic regression analysis revealed that females presented higher odds of correctly perceiving their gingival conditions and mouth odor, while those who were older and smokers had a greater probability of being less objective in reporting them. Tooth type and position in the dental arches were positively associated with self-perception of tooth mobility. These findings reflected a low level of self-awareness that may influence oral care-seeking behavior. Subjects may be unconcerned about their periodontal health condition or lack enough knowledge to be aware of it. This points to the need for planning strategies to improve education and knowledge about periodontal health, which, by enhancing self-perception of periodontal symptoms, could help everyone to seek treatment in the initial stage of the disease.

Association between oral health behavior and periodontal disease among Korean adults: The Korea national health and nutrition examination survey

This study was performed to assess the association between oral health behavior and periodontal disease using nationally representative data.This study involved a cross-sectional analysis and multivariable logistic regression analysis models using the data from the Korean National Health and Nutrition Examination Survey. A community periodontal index greater than or equal to code 3 was used to define periodontal disease.Adjusted odds ratios and their 95% confidence intervals of periodontitis for the toothbrushing after lunch group and the toothbrushing before bedtime group were 0.842 (0.758, 0.936) and 0.814 (0.728, 0.911), respectively, after adjustments for age, sex, body mass index, drinking, exercise, education, income, white blood cell count, and metabolic syndrome. Adjusted odds ratios and their 95% confidence intervals of periodontitis for the floss group and the powered toothbrush group after adjustment were 0.678 (0.588, 0.781) and 0.771 (0.610, 0.974), respectively.The association between oral health behavior and periodontitis was proven by multiple logistic regression analyses after adjusting for confounding factors among Korean adults. Brushing after lunch and before bedtime as well as the use of floss and a powered toothbrush may be considered independent risk indicators of periodontal disease among Korean adults.

Validation of periodontitis screening model using sociodemographic, systemic, and molecular information in a Korean population

BACKGROUND

This study aims to evaluate and validate a periodontitis screening model that includes sociodemographic, metabolic syndrome (MetS), and molecular information, including gingival crevicular fluid (GCF), matrix metalloproteinase (MMP), and blood cytokines.

METHODS

The authors selected 506 participants from the Shiwha-Banwol cohort: 322 participants from the 2005 cohort for deriving the screening model and 184 participants from the 2007 cohort for its validation. Periodontitis was assessed by dentists using the community periodontal index. Interleukin (IL)-6, IL-8, and tumor necrosis factor-α in blood and MMP-8, -9, and -13 in GCF were assayed using enzyme-linked immunosorbent assay. MetS was assessed by physicians using physical examination and blood laboratory data. Information about age, sex, income, smoking, and drinking was obtained by interview. Logistic regression analysis was applied to finalize the best-fitting model and validate the model using sensitivity, specificity, and c-statistics.

RESULTS

The derived model for periodontitis screening had a sensitivity of 0.73, specificity of 0.85, and c-statistic of 0.86 (P <0.001); those of the validated model were 0.64, 0.91, and 0.83 (P <0.001), respectively.

CONCLUSIONS

The model that included age, sex, income, smoking, drinking, and blood and GCF biomarkers could be useful in screening for periodontitis. A future prospective study is indicated for evaluating this model's ability to predict the occurrence of periodontitis.

Impact of periodontal disease on outcomes in diabetes

INTRODUCTION

The prevalence of periodontal disease (POD) among adults aged 30years and older in the United States is reported to be more than 47%, with higher prevalence seen among patients with diabetes mellitus (DM). POD has been associated with systemic inflammation, a known risk factor for cardiovascular and bone disease, both of which are more common in patients with DM. However, there is mixed evidence that treatment of POD reduces inflammation, improves DM control, and reduces DM complications. Our study objectives are to assess factors associated with POD in patients with DM and determine the impact of POD treatment on inflammation and bone turnover biomarkers associated with complications of DM.

METHODS

In this pilot study, we will first recruit 200 patients with DM to complete a 48-item investigator-administered questionnaire designed to assess socio-economic status, oral health status, adequacy of oral care, glycemic control and presence of DM complications. Responses will be verified by individual chart review. Then, using a crossover design, a subgroup of 24 subjects with responses suggestive of POD will be assigned to undergo POD treatment for three months followed by three months of routine dental care (group 1) or be followed for three months during routine dental care then receive POD treatment for three months (group 2). Outcome measures will be collected before and after POD treatment and include glycemic control and inflammatory and bone turnover biomarkers.

RESULTS

We hypothesize that the prevalence of POD among DM patients will be associated with inadequate glycemic control and greater DM complications.

Association of total tooth loss with socio-behavioural health indicators in Korean elderly

This study examined the association between total tooth loss, and socio-behavioural factors and general health indicators in elderly Koreans using national databases. Cross-sectional data for this study were from the third Korean National Health and Nutrition Examination Survey (KNHANES III), which was conducted among non-institutionalised civilians by the Korean Ministry of Health and Welfare in 2005. KNHANES III used a stratified, multistage probability sampling design on a representative of total South Korean population, according to geographical areas, age and sex groups. Among them, 1091 subjects aged 65 years and above were identified as potential participants in this study. The dependent variable in this study was the self-reported total tooth loss. The independent variables consisted of the following four categories: demographic information, socio-behavioural factors, psychological factors and general health indicators. The data were weighted to adjust for the sampling complexity, and SPSS version 14 for Windows software was used for data analysis. There were significant differences in total tooth loss odds according to the socio-behavioural backgrounds (education and smoking), psychological conditions (perceived oral health) and general health status (diabetes and body mass index as underweight). This suggests that the total tooth loss is associated with the socio-economic status, health-related behaviour and general health. However, more extensive longitudinal data and research will be needed to better explain the relationship between the total tooth loss and these variables.