Association between Tooth Loss and Stroke: A Systematic Review

Tooth Loss and Systemic Diseases in the Slovenian Elderly Population: A Cross-Sectional Study of the Associaton Between Oral and Systemic Health

Introduction

This study aimed to assess the prevalence of edentulism and tooth loss in the Slovenian elderly population, along with the associated risk factors, and investigate the association between systemic and oral health.

Methods

The study included 445 individuals aged 65 or older (average age: 79.7±8.9 years). Data on preserved teeth, dental history, chronic diseases, and medications were collected through clinical examinations. Height and weight were recorded in order to calculate body mass index (BMI), and the education level was also collected. Chronic systemic diseases and medications were categorized. Statistical analysis was conducted using linear regression and nonparametric tests.

Results

Participants had an average of 4.7±7.7 teeth, with no significant gender differences. Higher age (β=-0.185, p<0.001) and lower education level (p<0.001) were associated with fewer teeth, while higher BMI showed no correlation (β=-0.085, p=0.325). Diabetes mellitus (p=0.031), cardiovascular diseases (p=0.025), and thyroid diseases (p=0.043) were inversely related to retained teeth. This inverse relationship also applied to individuals who recovered from malignancies, not including head and neck malignancies (p=0.019). No significant relationship was found between osteoporosis and the number of teeth (p=0.573). Notably, antidiabetic drug use was inversely related to the number of teeth (p=0.004), while analgesics showed a positive relationship (p=0.022).

Conclusions

This study highlights the association between specific sociodemographic factors, chronic diseases, and retained teeth among elderly individuals in Slovenia. High edentulism rates among the elderly emphasize the need for enhanced preventive measures and risk factor management, particularly for high-risk groups like the elderly.

Association of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank

BACKGROUND AND OBJECTIVES

Poor oral health is a modifiable risk factor that is associated with clinically observed cardiovascular disease. However, the relationship between oral and brain health is not well understood. We tested the hypothesis that poor oral health is associated with worse neuroimaging brain health profiles in middle-aged persons without stroke or dementia.

METHODS

We performed a 2-stage cross-sectional neuroimaging study using UK Biobank data. First, we tested for association between self-reported poor oral health and MRI neuroimaging markers of brain health. Second, we used Mendelian randomization (MR) analyses to test for association between genetically determined poor oral health and the same neuroimaging markers. Poor oral health was defined as the presence of dentures or loose teeth. As instruments for the MR analysis, we used 116 independent DNA sequence variants linked to increased composite risk of dentures or teeth that are decayed, missing, or filled. Neuroimaging markers of brain health included white matter hyperintensity (WMH) volume and aggregate measures of fractional anisotropy (FA) and mean diffusivity (MD), 2 metrics indicative of white matter tract disintegrity obtained through diffusion tensor imaging across 48 brain regions.

RESULTS

We included 40,175 persons (mean age 55 years, female sex 53%) enrolled from 2006 to 2010, who underwent a dedicated research brain MRI between 2014 and 2016. Among participants, 5,470 (14%) had poor oral health. Poor oral health was associated with a 9% increase in WMH volume (β = 0.09, SD = 0.014, p < 0.001), 10% change in aggregate FA score (β = 0.10, SD = 0.013, p < 0.001), and 5% change in aggregate MD score (β = 0.05, SD = 0.013, p < 0.001). Genetically determined poor oral health was associated with a 30% increase in WMH volume (β = 0.30, SD = 0.06, p < 0.001), 43% change in aggregate FA score (β = 0.43, SD = 0.06, p < 0.001), and 10% change in aggregate MD score (β = 0.10, SD = 0.03, p < 0.01).

DISCUSSION

Among middle age Britons without stroke or dementia, poor oral health was associated with worse neuroimaging brain health profiles. Genetic analyses confirmed these associations, supporting a potentially causal association. Because the neuroimaging markers evaluated in this study precede and are established risk factors of stroke and dementia, our results suggest that oral health, an easily modifiable process, may be a promising target for very early interventions focused on improving brain health.

Is tooth loss associated with multiple chronic conditions?

OBJECTIVES

To examine the relationship between tooth loss and co-occurrence of multiple chronic conditions (MCC) among American adults at working age.

MATERIALS AND METHODS

Data was from the Behavioural Risk Factor Surveillance System 2018, a cross-sectional telephone-based, nationally representative survey of American adults. We included participants aged 25-64 years. The survey included sociodemographic data, reported diagnosis of chronic conditions, the number of missing teeth and health behaviours. An aggregate variable of chronic conditions was created which included heart attack, angina, stroke, cancer, chronic pulmonary disease, diabetes, asthma, arthritis, depression, and kidney diseases. The association between the number of missing teeth and the aggregate of chronic conditions was assessed adjusting for confounders.

RESULTS

The analysis included 202,809 participants. The mean number of MCC was 0.86 (95% Confidence Interval 'CI':0.85,0.87). Tooth loss was significantly associated with MCC with rate ratio 1.18 (95% CI:1.15,1.21), 1.53 (95% CI:1.48,1.59) and 1.62 (95% CI:1.55,1.69) for those reporting losing 1-5 teeth, 6 or more but not all, and all teeth, respectively after adjusting for demographic, socioeconomic, and behavioural factors.

CONCLUSION

Tooth loss could be an early marker for the co-occurrence of multiple chronic conditions among adults of working age. The association could be attributed to common risk factors for oral and general health.

Poor Oral Health Is Associated with Worse Brain Imaging Profiles

Importance

Poor oral health is a modifiable risk factor that is associated with a variety of health outcomes. However, the relationship between oral and brain health is not well understood.

Objective

To test the hypothesis that poor oral health is associated with worse neuroimaging brain health profiles in persons without stroke or dementia.

Design

We conducted a 2-stage cross-sectional neuroimaging study using data from the UK Biobank (UKB). First, we tested for association between self-reported poor oral health and MRI neuroimaging markers of brain health. Second, we used Mendelian Randomization (MR) analyses to test for association between genetically-determined poor oral health and the same neuroimaging markers.

Setting

Ongoing population study in the United Kingdom. The UKB enrolled participants between 2006 and 2010. Data analysis was performed from September 1, 2022, to January 10, 2023.

Participants

40,175 persons aged 40 to 70 enrolled between 2006 to 2010 who underwent a dedicated research brain MRI between 2012 and 2013.

Exposures

During MRI assessment, poor oral health was defined as the presence of dentures or loose teeth. As instruments for the MR analysis, we used 116 independent DNA sequence variants known to significantly increase the composite risk of decayed, missing, or filled teeth and dentures.

Main Outcomes and Measures

As neuroimaging markers of brain health, we assessed the volume of white matter hyperintensities (WMH), as well as aggregate measures of fractional anisotropy (FA) and mean diffusivity (MD), two metrics indicative of white matter tract disintegrity obtained through diffusion tensor imaging. These measurements were evaluated across 48 distinct brain regions, with FA and MD values for each region also considered as individual outcomes for the MR method.

Results

Among study participants, 5,470 (14%) had poor oral health. We found that poor oral health was associated with a 9% increase in WMH volume (beta = 0.09, standard deviation (SD) = 0.014, p P< 0.001), a 10% change in the aggregate FA score (beta = 0.10, SD = 0.013, P < 0.001), and a 5% change in the aggregate MD score (beta = 0.05, SD = 0.013, P < 0.001). Genetically-determined poor oral health was associated with a 30% increase in WMH volume (beta = 0.30, SD = 0.06, P < 0.001), a 43% change in aggregate FA score (beta = 0.42, SD = 0.06, P < 0.001), and an 10% change in aggregate MD score (beta = 0.10, SD = 0.03, P = 0.01).

Conclusions and Relevance

Among middle age Britons without stroke or dementia enrolled in a large population study, poor oral health was associated with worse neuroimaging brain health profiles. Genetic analyses confirmed these associations, supporting a potential causal association. Because the neuroimaging markers evaluated in the current study are established risk factors for stroke and dementia, our results suggest that oral health may be a promising target for interventions focused on improving brain health.

Effect of a Hygiene Protocol on Denture-Related Stomatitis Remission, Local Inflammatory Factors, and Hemodynamic Responses by Arterial Pressure

Denture-related stomatitis (DRS) is frequent oral inflammation in complete denture wearers. This study evaluated the effect of a hygiene protocol on DRS remission, local inflammatory factors, and hemodynamic responses. Thirty-three individuals were enrolled in the study. The outcomes were measured before and after 10 days of a hygiene protocol treatment consisting of brushing the palate with a soft brush and water and denture brushing with a denture-specific brush and mild soap, as well as immersion of the denture for 20 min in a 0.25% sodium hypochlorite solution. Data were analyzed by paired Wilcoxon for biofilm removal and CFU count of microorganisms. The paired T test was used to assess salivary MUC 1, cytokines, and arterial pressure (p < 0.05). A significant difference was found in the DRS degree (p < 0.001), biofilm (p < 0.001), microbial load of Candida spp. (p < 0.001), Gram-negative (p < 0.004), Staphylococcus spp. (p < 0.001), and S. mutans (p < 0.001) of the denture, and S. mutans (p < 0.001) of the palate after use of the protocol. The salivary flow (p = 0.2) and pH (p = 0.97) did not change; there was an increase of MUC 1 (p = 0.049) and a decrease in IL-6 (p = 0.038), IL-2 (p = 0.04), IL-10 (p = 0.041), and IFNγ (p = 0.04). There was also a decrease in systolic (p = 0.012) and mean arterial pressure (p = 0.02). The current hygiene protocol reduced the inflammation degree of DRS and promoted an improvement of local inflammatory factors and a reduction in the systolic arterial pressure of the patients.

Factors of Dental Caries, Tooth Mobility, and Periodontal Pockets on the Occupation of Tooth Loss in the Elderly. (A Study in Karikil Village, Mangkubumi District, Tasikmalaya City)

BACKGROUND: Loss of teeth can disrupt daily activities such as chewing disorders, causing emotional problems, and loss of self-confidence. Tooth loss in the elderly is usually caused by dental caries and periodontal disease which are influenced by several other factors. AIM: This study aims to obtain a mathematical equation for predicting tooth loss in the elderly based on dental caries, tooth mobility, and periodontal pockets which have been shown to have an effect. MATERIALS AND METHODS: This research is a survey research with a cross-sectional design. The research subjects were 210 elderly people from Karikil Village, Mangkubumi District, Tasikmalaya City, sampling using the purposive sampling technique affected tooth loss, while the effects were dental caries, tooth mobility, and periodontal pockets. Tooth loss, dental caries, mobility of teeth, and periodontal pockets were measured using the fill-in format from the World Health Organization. Data analysis used the Chi-square correlation test and multiple logistic regression. RESULTS: The results of the Chi-square test analysis showed that the variables of dental caries and tooth mobility had a very significant effect on tooth mobility (p = 0.000 and 0.007). The pocket periodontal variable did not show a significant relationship to tooth mobility (p = 0.947). The results of the multiple logistic regression analysis of dental caries and tooth mobility together contributed 12.2% (R2 = 0.122) to tooth mobility in the elderly. Dental caries gave the greatest contribution to tooth loss, namely, 87.6%. CONCLUSION: Dental caries gives the greatest contribution compared to tooth mobility and periodontal pockets to the occurrence of tooth loss in the elderly. In the elderly, the higher the level of dental caries and tooth mobility, the higher the risk of tooth loss.

The validity of self-reported number of teeth and edentulousness among Norwegian older adults, the HUNT Study

Background

Number of teeth is an established indicator of oral health and is commonly self-reported in epidemiological studies due to the costly and labor-intensive nature of clinical examinations. Although previous studies have found self-reported number of teeth to be a reasonably accurate measure, its accuracy among older adults ≥ 70 years is less explored. The aim of this study was to assess the validity of self-reported number of teeth and edentulousness in older adults and to investigate factors that may affect the accuracy of self-reports.

Methods

This study included two different samples of older adults ≥ 70 years drawn from the fourth wave of the Trøndelag Health Study (the HUNT Study), Norway. Sample 1 (n = 586) was used to evaluate the validity of self-reported number of teeth and sample 2 (n = 518) was used to evaluate self-reported edentulousness. Information on number of teeth and background variables (education, smoking, cognitive function, and self-perceived general and oral health) were self-reported in questionnaires, while clinical oral health examinations assessed number of teeth, number of teeth restored or replaced by fixed prosthodontics and edentulousness. Spearman and Pearson correlation coefficients, Bland–Altman plot, chi-square test and kappa statistics were used to assess the agreement between self-reported and clinically recorded number of teeth.

Results

The mean difference between self-reported and clinically recorded number of teeth was low (− 0.22 teeth), and more than 70% of the participants reported their number of teeth within an error of two teeth. Correlations between self-reports and clinical examinations were high for the total sample (0.86 (Spearman) and 0.91 (Pearson)). However, a lower correlation was found among participants with dementia (0.74 (Spearman) and 0.85 (Pearson)), participants having ≥ 20 teeth (0.76 (Spearman) and 0.67 (Pearson)), and participants with ≥ 5 teeth restored or replaced by fixed prosthodontics (0.75 (Spearman) and 0.77 (Pearson)). Self-reports of having teeth or being edentulous were correct in 96.3% of the cases (kappa value 0.93, p value < 0.001).

Conclusions

Among older Norwegian adults, self-reported number of teeth agreed closely with clinical tooth counts and nearly all the edentulous participants correctly reported having no teeth.

Oral Health-Related Quality of Life in Patients after Stroke—A Systematic Review

Objectives: Aim of this systematic review was to assess oral health-related quality of life (OHRQoL) of patients after stroke. Methods: The systematic literature search was performed on December 2021 based on PubMed, Medline, Web of Science, and Scopus, with the search terms: “oral health-related quality of life” AND stroke OR apoplexy OR ischemic stroke OR apoplectic insult. Articles exclusively examining patients after stroke and reporting a well-documented and valid OHRQoL measurement were included. Results: Out of 68 findings, 8 studies were included. The number of patients ranged between 31 and 549 individuals, mean age between 55.7 and 73.9 years, and 49–72% of individuals were male. Two studies included a healthy control group. Oral health parameters were rarely reported across studies. Five studies reported on the Oral Health Impact Profile (OHIP) 14 for OHRQoL, showing means between 2.87 and 33.0 in sum score. Three studies applied Geriatric Oral Assessment Index (GOHAI), with sum scores between 45.6 and 55.0. Only one study found worse OHRQoL in stroke patients compared to healthy controls. Two studies reported on an association between OHRQoL and general quality of life. Three studies found OHRQoL to be associated with different oral health parameters. Only one study found OHRQoL to be associated with stroke-related parameters. Conclusions: Patients after stroke show a reduced OHRQoL. Medical staff and caregivers should support oral hygiene and dental visits, to foster patients’ oral health and OHRQoL.

Epidemiological characterization of stroke cases under rehabilitation on the Brazilian Unified Health System in Mossoró, Rio Grande do Norte

Objectives: To identify the clinical and epidemiological characteristics of patients undergoing treatment for a stroke at the only public rehabilitation clinic in Mossoró/RN (Doctor Ozias Alves de Souza Rehabilitation Center). Methods: Quantitative, prospective, descriptive, cross-sectional, exploratory study, structured from responses to a clinical-epidemiological and sociodemographic questionnaire with 39 items, to assess aspects concerning the profile of patients affected by stroke and undergoing rehabilitation treatment. Results: Twenty-eight individuals with stroke sequelae undergoing treatment at the rehabilitation center were identified, whose clinical-epidemiological characteristics revealed equivalence concerning gender (50% male:female), the predominance of white and brown color/race (46.4% each), and overweight (35.7%). Most of the patients lived in a family environment with a spouse (64.3%), were retired (71.4%), with monthly income between one and two minimum wages (64.3%), with hemiplegic sequelae resulting from the stroke (85.7%) and difficulties in adapting to the current way of life (75%). Conclusion: The present study allows an initial scrutiny of stroke cases in Mossoró/RN and their rehabilitation process. Such data may contribute to a better understanding of issues concerning stroke by government sectors, aiming to improve care and multidisciplinary interventions to provide patients with reinsertion in both work practice and in everyday social relationships.

Association between dental diseases and history of stroke in the United States

Objective

This study aimed to determine the potential association between the dental diseases and self‐reported history of stroke in the United States based on data from the Third National Health and Nutrition Examination Survey (NHANES III).

Methods

Data were extracted from NHANES III. Dental variables were carious tooth surfaces, number of missing teeth, gingival bleeding, and periodontal pockets. Multiple logistic regression modeling was used to estimate the effect of these dental diseases on the self‐reported history of stroke with intent to adjust for the other potential determinants: age, sex, race, marital status, health insurance, education, exercise, body mass index, smoking, alcohol, hypertension, high serum cholesterol, and diabetes.

Results

Number of missing teeth was found to be significantly associated with the self‐reported history of stroke. Associations between the self‐reported history of stroke and caries, gingival bleeding, or periodontal pockets were not statistically significant.

Conclusions

Number of missing teeth was an independent determinant of the self‐reported history of stroke.