Estimation of the Periodontal Inflamed Surface Area by Simple Oral Examination

Advanced machine learning for estimating vascular occlusion percentage in patients with ischemic heart disease and periodontitis

Objective

The study aimed to assess the efficacy of advanced machine learning algorithms in estimating the percentage of vascular occlusion in ischemic heart disease (IHD) cases with periodontitis.

Methods

This study involved 300 IHD patients aged 45 to 65 with stage III periodontitis undergoing coronary angiograms. Dental and periodontal examinations assessed various factors. Coronary angiograms categorized patients into three groups based on artery stenosis. Clinical data were processed, outliers were identified, and machine learning algorithms were applied for analysis using the orange tool, including confusion matrices and receiver operating characteristic (ROC) curves for assessment.

Results

The results showed that Random Forest, Naïve Bayes, and Neural Networks were 97 %, 84 %, and 92 % accurate, respectively. Random Forest did exceptionally well in identifying the severity of conditions, with 95.70 % accuracy for mild cases, 84.80 % for moderate cases, and a perfect 100.00 % for severe cases.

Conclusions

The current study, using Periodontal Inflammatory Surface Area (PISA) scores, revealed that the Random Forest model accurately predicted the percentage of vascular occlusion.

Comparative transcriptome analysis of periodontitis and peri-implantitis in human subjects

BACKGROUND

Peri-implantitis is similar to periodontitis, but there are some differences. For the effective control of peri-implantitis, it is necessary to clarify its similarities and differences with periodontitis in terms of gene expression.

METHODS

This cross-sectional study included 20 participants (10 healthy subjects and 10 patients with periodontitis and peri-implantitis). Gingival tissue samples (10 healthy, 10 periodontitis, and 10 peri-implantitis tissues) were collected, RNAs were extracted, and RNA sequencing and analysis were performed.

RESULTS

Differentially expressed gene (DEG) analysis identified 757 upregulated and 159 downregulated genes common between periodontitis and peri-implantitis. Periodontitis tissues uniquely showed 186 overexpressed and 22 suppressed genes compared with peri-implantitis and healthy tissues, while peri-implantitis had 1974 and 642, respectively. Each common and unique differential gene set showed distinct enriched biological features between periodontitis and peri-implantitis after the pathway enrichment analysis. The expression pattern of selected DEGs focused on the representability of the disease was validated by RT-qPCR.

CONCLUSIONS

Although periodontitis and peri-implantitis showed common gene expression that was clearly differentiated from healthy conditions, there were also unique gene patterns that were differentially expressed only in peri-implantitis. These findings will help elucidate the mechanisms involved in the progression of peri-implantitis.

Risk of periodontitis & dental caries among 35 to 44 year old diabetic individuals: A case control study

Background

The World Health Organization (WHO) has recommended the age group of 35-44 years for surveillance of oral health conditions in adults. There is a growing incidence of early onset of Type 2 diabetes mellitus (T2DM) worldwide.

Objective

This study was conducted to find the strength of association between dental caries and periodontitis in patients with T2DM.

Materials and Methods

This was a case-control study conducted among 35-44-year-old patients with T2DM (n = 185) reporting to various hospitals of Belagavi city and controls (n = 185), who met the inclusion criteria. Group matching was done for age and gender. The study participants were interviewed for their sociodemographic details, relevant medical history, oral health behaviors, and dietary behaviors using a self-designed questionnaire. Dental caries and periodontal status were recorded using the WHO criteria, 2013.

Results

The mean decayed missing filled teeth was significantly higher among controls than cases (P = 0.006). A significantly higher number of cases had periodontal pockets (crude odds ratio: 6.6) as compared to controls. Regression analysis showed that loss of attachment was significantly associated with T2DM (adjusted odds ratio: 5.9, 95% confidence interval: 2.81-6.89).

Conclusion

Periodontitis was found to be associated with T2DM. However, no such association was found between dental caries and T2DM.

Oral Health in Breast Cancer Women with Vitamin D Deficiency: A Machine Learning Study

Breast cancer (BC) survivors treated with aromatase inhibitors (AIs) commonly show several pathological issues, including poor oral health, bone health impairment, and vitamin D deficiency. However, to date, oral health issues in BC survivors treated with AIs have been poorly investigated and their relationship with vitamin D deficiency are far from being understood. This study aimed to evaluate the correlation between oral health and vitamin D status in BC survivors undergoing treatment with AIs through a machine learning approach. In this cross-sectional study, we included post-menopausal BC women with vitamin D deficiency undergoing AIs therapy. The outcome measures were the following: oral health indexes as the Decayed, Missing, and Filled Permanent Teeth Index (DMFT); serum levels of 25(OH)D₃; Bone Mineral Density (BMD); and the diagnosis of osteoporosis. We included 41 post-menopausal BC women, mean aged 66.10 ± 8.47 years, with mean serum levels of vitamin D of 14.63 ± 6.62 ng/mL. Furthermore, 56.10% of patients had a diagnosis of osteoporosis and 36.59% were osteopenic. DMFT was significantly related to smoking (p-value = 0.005) and dental floss use (p-value = 0.001). There was a significant correlation between DMFT and vitamin D levels (Pearson’s r: −0.73; p-value = 0.001). The regression machine learning model showed that vitamin D status and the use of dental floss were the most relevant variables in terms of correlation with DMFT. In conclusion, vitamin D deficiency, inadequate use of dental floss, and smoking had a negative impact on oral health in BC women. Thus, vitamin D deficiency screening and supplementation and a prompt oral rehabilitation plan should be suggested and implemented in the complex treatment framework of BC survivors undergoing treatment with AIs.

Evaluation of Salivary Mucin, Amylase, Protein Profile, and Periodontal Parameters among Hypertensive and Diabetic Patients

Systemic and localized oral disease instigates alterations in salivary composition and content. The objective of the study was to evaluate the levels of salivary amylase, mucin, total protein levels, and periodontal inflammatory parameters in Type 2 Diabetes mellitus (T2DM), hypertensive (HTN) patients, and healthy controls. The study sample was divided into three groups: healthy, T2DM, and HTN. Salivary samples were collected from the included participants and salivary flow rate (SFR) and pH were measured. The salivary levels of amylase, mucin, and total protein concentration were analyzed using an enzyme-linked immunosorbent assay. The effect of anti-hypertensive and hypoglycemic drugs on the salivary flow rate, salivary pH, mucin, amylase, and total protein concentrations was evaluated. The results were analyzed with Chi-squared and analysis of variance to compare the means and standard deviations of variables among the study groups. SFR was significantly (p < 0.01) lower among diabetics (0.78 ± 0.45 mL/min) in comparison to healthy (1.52 ± 0.62 mL/min) and hypertensive (1.07 ± 0.7 mL/min) subjects. PISA values were significantly higher in T2DM (1029 ± 234.6 mm2) and HTN (799.4 ± 155.05 mm2) subjects when compared to controls, indicating a high inflammatory burden of oral cavity caused by these conditions, and showed statistically significant difference between the groups (p-value < 0.001). Mucin levels were significantly higher (p-value < 0.05) in hypertensive patients (4.6 ± 1.17 units) compared to diabetics (3.59 ± 1.03 unit/mL) and healthy (2.26 ± 1.09 units/mL) subjects. Amylase levels were significantly higher among healthy subjects (1.76 ± 0.75 mg/mL) compared to both hypertensive (1.33 ± 1.0 mg/mL) and diabetic (0.88 ± 0.57 mg/mL) patients. Total protein concentration was significantly raised (p-value < 0.001) in diabetics (37.67 ± 3.12 mg/mL) compared to healthy (29.3 ± 3.22 mg/mL) subjects. Significant differences in BOP, CAL, and PPD was observed (p-value < 0.001). Use of antihypertensive and hypoglycemic drugs showed a significant influence on salivary flow rate, protein, mucin, and amylase levels. T2DM and HTN induced irregularities in salivary flow rate, pH, amylase, and mucin levels and showed an increased incidence of moderate to severe periodontitis in patients. UWS levels of SFR, mucin, amylase, and total protein can be used as diagnostic and therapeutic biomarkers in patients with T2DM and HTN with oral disease.

Periodontal Disease and Vitamin D Deficiency in Pregnant Women: Which Correlation with Preterm and Low-Weight Birth?

Periodontal disease seems to be correlated with low vitamin D serum levels, preterm birth (PTB) and low birth weight (LBW), although the literature still lacks a consensus. This study aimed to investigate this correlation in a cohort of pregnant women over 20 weeks of gestation from the University Hospital “Maggiore della Carità”, Novara, Italy. We assessed serum levels of vitamin D and oral health status through the following indexes: Oral Hygiene Index (OHI), Plaque Control Record (PCR), Gingival Bleeding Index (GBI), and Community Periodontal Index of Treatment Needs (CPTIN). Moreover, we assessed the number of PTB and LBW among the newborns. Out of 121 pregnant women recruited, 72 (mean age 29.91 ± 3.64 years) were included. There was a statistically significant correlation between preterm and OHI > 3 (p = 0.033), and between LBW and OHI > 3 (p = 0.005) and CPITN = 3 (p = 0.027). Both pregnant women with vitamin D deficiency ((25-hydroxy-vitamin D) < 30 ng/mL) and PTB plus LBW newborns were significantly correlated (p < 0.05) with poor levels of all oral health status indexes during pregnancy. Furthermore, these conditions (women with hypovitaminosis D and combination of PTB and LBW) were shown to be significantly correlated (p < 0.001). Taken together, our findings reported a high prevalence of PTB and LBW with poor oral health and vitamin D deficiency in pregnant women.