Have you had bleeding from your gums? Self-report to identify giNGival inflammation (The SING diagnostic accuracy and diagnostic model development study)

Relationship Between Oral Health and Glaucoma Traits in the United Kingdom

PRCIS

In this cross-sectional analysis of UK Biobank participants, we find no adverse association between self-reported oral health conditions and either glaucoma or elevated intraocular pressures.

PURPOSE

Poor oral health may cause inflammation, which accelerates the progression of neurodegenerative diseases. We investigated the relationship between oral health and glaucoma.

PATIENTS

United Kingdom Biobank participants.

METHODS

This is a cross-sectional analysis of participants categorized by self-reported oral health status. Multivariable linear and logistic regression models were used. Primary analysis examined the association with glaucoma prevalence. Secondary analyses examined associations with IOP, macular retinal nerve fiber layer (mRNFL), and ganglion cell inner plexiform layer (mGCIPL) thicknesses, and interaction terms with multitrait glaucoma polygenic risk scores (MTAG PRS) or intraocular pressure (IOP) PRS.

RESULTS

A total of 170,815 participants (34.3%) reported current oral health problems, including painful or bleeding gums, toothache, loose teeth, and/or denture wear. A In all, 33,059, 33,004, 14,652, and 14,613 participants were available for analysis of glaucoma, IOP, mRNFL, and mGCIPL, respectively. No association between oral health and glaucoma was identified [odds ratio (OR): 1.04, 95% CI: 0.95-1.14]. IOPs were slightly lower among those with oral disease (-0.08 mm Hg, 95% CI: -0.15, -0.009); specifically, among those with loose teeth ( P =0.03) and denture-wearers ( P <0.0001). mRNFL measurements were lower among those with oral health conditions (-0.14 μm, 95% CI: -0.27, -0.0009), but mGCIPL measurements ( P =0.96) were not significantly different. A PRS for IOP or glaucoma did not modify relations between oral health and IOP or glaucoma ( P for interactions ≥​​​​0.17).

CONCLUSIONS

Self-reported oral health was not associated with elevated IOP or an increased risk of glaucoma. Future studies should confirm the null association between clinically diagnosed oral health conditions and glaucoma.

Type 1 Diabetes Mellitus Patients' Self-perception of Periodontal Diseases

OBJECTIVES

 The study aimed to evaluate type 1 diabetes mellitus (T1DM) patients' self-perceived periodontal health status and to identify the association between periodontal disease (PD) and DM.

MATERIALS AND METHODS

 This cross-sectional study included 113 T1DM children between 3 and 18 years old from the Universiti Teknologi MARA and the University of Malaya. Periodontal health parameters, including plaque index, gingival index, probing pocket depth, simplified basic periodontal examination, and clinical attachment loss, were recorded. Self-perceived periodontal health status was assessed with questionnaires.

STATISTICAL ANALYSIS

 Statistical analysis was performed to evaluate the sensitivity of the questionnaire and the relationship between T1DM and periodontal parameters.

RESULTS

 The median age was 11.4 years. Half of them (50.4%) were females. A total of 83.5% rated their oral condition as good, whereas 27.5% reported a history of gingival bleeding. Clinical examination revealed that 48.7% had healthy gingiva, whereas 47.8% had gingivitis. The question "Do you have bleeding when brushing, flossing, or eating food?" showed good accuracy in the evaluation of PD (p < 0.001).

CONCLUSION

 The questionnaire has a high potential to be used by medical professionals in identifying T1DM patients at risk of PD to guide nondental health care providers in making appropriate referrals to dental services.

Oral health behavior and oral health service utilization among cancer patients in China: A multicenter cross-sectional study

Purpose

Oral health plays an important role in overall health. But there is scarce information available on oral health behavior and oral health service utilization among cancer patients. This study aimed to evaluate oral health behavior and oral health service utilization among different population groups of cancer patients in China.

Methods

A multicenter cross-sectional study in three tertiary hospitals was conducted to explore the oral health behaviors and oral health service utilization of 162 cancer patients in China.

Results

We investigated a total of 162 cancer patients, 81 from urban and rural areas, respectively. The participant’s ages ranged from 18 and 82 years, mean age was 44.62 years (SD = 15.72). Overall, cancer patients have poor oral health behaviors and limited oral health service utilization. There were statistically significant differences (p &lt; 0.05) between urban and rural cancer patients in terms of oral health behaviors, including brushing methods, the use of fluoride toothpaste, the use of dental floss, dental caries, and bleeding gums while brushing teeth. As for oral health service utilization, there were significant differences (p &lt; 0.05) between urban and rural cancer patients on regular dental cleaning, the reasons for visiting a dental clinic, and whether they took the initiative to learn about oral health.

Conclusion

The study findings suggest that cancer patients had poor oral health behaviors and limited oral health service utilization, and rural patients perform poorer than their urban counterparts. Oral health education should be provided to cancer patients to improve their oral health behaviors and oral health service utilization.

Association of oral bacteria with oral hygiene habits and self-reported gingival bleeding

Aim

To describe associations of gingival bacterial composition and diversity with self‐reported gingival bleeding and oral hygiene habits in a Norwegian regional‐based population.

Materials and Methods

We examined the microbiome composition of the gingival fluid (16S amplicon sequencing) in 484 adult participants (47% females; median age 28 years) in the Respiratory Health in Northern Europe, Spain and Australia (RHINESSA) study in Bergen, Norway. We explored bacterial diversity and abundance differences by the community periodontal index score, self‐reported frequency of gingival bleeding, and oral hygiene habits.

Results

Gingival bacterial diversity increased with increasing frequency of self‐reported gingival bleeding, with higher Shannon diversity index for “always” β = 0.51 and “often” β = 0.75 (p < .001) compared to “never” gingival bleeding. Frequent gingival bleeding was associated with higher abundance of several bacteria such as Porphyromonas endodontalis, Treponema denticola, and Fretibacterium spp., but lower abundance of bacteria within the gram‐positive phyla Firmicutes and Actinobacteria. Flossing and rinsing with mouthwash twice daily were associated with higher total abundance of bacteria in the Proteobacteria phylum but with lower bacterial diversity compared to those who never flossed or never used mouthwash.

Conclusions

A high frequency of self‐reported gingival bleeding was associated with higher bacterial diversity than found in participants reporting no gingival bleeding and with higher total abundance of known periodontal pathogens such as Porphyromonas spp., Treponema spp., and Bacteroides spp.

Gingival bleeding on brushing as a sentinel sign of gingival inflammation: A diagnostic accuracy trial for the discrimination of periodontal health and disease

AIM

To assess the accuracy of self-reported gingival bleeding on brushing (GBoB) for differentiating between periodontal health and disease and explore the optimal haemoglobin concentration that enables visual detection of GBoB.

MATERIALS AND METHODS

Self-assessment of GBoB was conducted in supervised sessions for 408 consecutive adults. The haemoglobin levels in saliva/toothpaste slurry (TPS) were analysed, followed by a full-mouth periodontal examination. Periodontal diagnoses were made based on the 2017 classification of periodontal diseases. Gingival inflammation was defined as presence of at least 10% of sites with bleeding on probing (BOP). Logistic regression and area under the receiver operating characteristic curve (AUROC) analyses were applied to assess the accuracy of GBoB.

RESULTS

Overall, 37.1% of the subjects claimed self-reported GBoB, and they had higher values of BOP (median: 25.0%; interquartile range (IQR): 16.0%-37.5%) than those without GBoB (median: 13.5%; IQR: 8.0%-24.8%, p < .001). The concentration/total amount of haemoglobin in TPS was positively correlated with the number of bleeding sites (r = .409/r = .520, p < .001). Haemoglobin concentration of 90.58 μg/ml or 0.51 μl blood volume enabled visual detection of GBoB with an AUROC of 0.848. Self-reported GBoB exhibited significantly increased values of diagnostic odds ratios (3-8) for varying degrees of gingival inflammation and periodontal disease (gingivitis and periodontitis). It showed low to moderate accuracy for discriminating periodontitis and gingivitis from periodontal health, with a sensitivity of 37.1% and 61.3% and a specificity of 84.8% and 84.4%, respectively. Absence of self-reported GBoB and low levels of haemoglobin had 93%-98% predictive values for periodontal health.

CONCLUSIONS

Despite its low sensitivity for the discrimination of periodontitis, self-reported GBoB is a promising sentinel sign for periodontal health and disease, and gingival inflammation in particular. It is visually detectable after minor blood loss. After validation in an independent population, identification of GBoB may promote earlier detection and better prevention and treatment of periodontal disease, thereby eventually reducing the global burden of the disease.