Associations between smoking and tooth loss according to the reason for tooth loss: the Buffalo OsteoPerio Study

Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach

OBJECTIVES

This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting.

METHODS

Information on periodontitis patients and nineteen factors identified at the initial visit was extracted from electronic health records. The primary outcome is tooth loss phenotype (presence or absence of tooth loss). Prediction models were built on significant factors (single or combinatory) selected by the RuleFit algorithm, and these factors were further adopted by regression models. Model performance was evaluated by Area Under the Receiver Operating Characteristic Curve (AUROC) and Area Under the Precision-Recall Curve (AUPRC). Associations between predictors and the tooth loss phenotype were also evaluated by classical statistical approaches to validate the performance of machine learning models.

RESULTS

In total, 7840 patients were included. The machine learning model predicting the tooth loss phenotype achieved AUROC of 0.71 and AUPRC of 0.66. Age, periodontal diagnosis, number of missing teeth at baseline, furcation involvement, and tooth mobility were associated with the tooth loss phenotype in both machine learning and classical statistical models.

CONCLUSIONS

The rule-based machine learning approach improves model explainability compared to classical statistical methods. However, the model's generalizability needs to be further validated by external datasets.

CLINICAL SIGNIFICANCE

Predictors identified by the current machine learning approach using the RuleFit algorithm had clinically relevant thresholds in predicting the tooth loss phenotype in a large and diverse periodontitis patient cohort. The results of this study will assist clinicians in performing risk assessment for periodontitis at the initial visit.

Impact of Smoking on the Healing of Apical Periodontitis after Nonsurgical Endodontic Treatment

OBJECTIVES

 The aim of this prospective study was to compare the healing of periapical bone between smokers and nonsmokers after root canal therapy. The effects of duration and intensity of smoking on the healing rate of apical periodontitis were analyzed.

MATERIALS AND METHODS

 Fifty-five smokers were included in this study. The control group consisted of healthy nonsmokers who matched the smoker group in age and sex. Only teeth with a favorable periodontal prognosis and adequate coronal restoration were included in the study. The periapical status of treated teeth was assessed using the periapical index system at follow-ups after 6 and 12 months.

STATISTICAL ANALYSIS

 The chi-squared test and Mann-Whitney U test were used to assess the changes in periapical index score at baseline and in subsequent time intervals between the two groups examining dichotomized and ordinal data, respectively. Multivariate logistic regression analysis was used to test the association of independent variables age, gender, tooth type, arch type, and smoking index with the outcome variable. The outcome variable was set as the presence versus absence of apical periodontitis.

RESULTS

 The analysis at 12-month follow-up revealed a significantly higher healing rate in control group than in smokers (90.9 vs. 58.2; χ2 = 13.846; p < 0.001). Smokers had significantly higher periapical index scores than the control group (p = 0.024). The multivariate logistic regression analysis demonstrated that an increase in the value of the smoking index significantly increases the risk of apical periodontitis persistence (odds ratio [OR] =7.66; 95% confidence interval [CI]: 2.51-23.28; p < 0.001) for smoking index < 400 and (OR = 9.65; 95% CI: 1.45-64.14; p = 0.019) for smoking index 400 to 799.

CONCLUSION

 The results from this study show a lower rate of apical periodontitis healing in a group of smokers at 1-year follow-up. Delayed periapical healing seems to be associated with the cigarette smoking exposure.

Analysis of epidemiological trends of and associated factors for tooth loss among 35- to 44-year-old adults in Guangdong, Southern China, 1995-2015: a population-based cross-sectional survey

BACKGROUND

Tooth loss is a known marker of oral and systemic health, but large-scale population-based and cross-sectional multi-year comparative studies on tooth loss have yet to be much studied in China. This study explores the changing trends in tooth loss status and the associated factors influencing the prevalence of tooth loss over the past two decades in Guangdong, Southern China.

METHODS

Data from three cross-sectional, representative oral epidemiological surveys in Guangdong Province were analyzed, including 400 in 1995, 720 in 2005, and 288 in 2015, for a total of 1408 participants. Sample selection is based on the National Census of China published by the National Bureau of Statistics. In this study, each year, the number of missing teeth (MT) and the prevalence of tooth loss (MT > 0) were calculated. Basic demographic information, socioeconomic status, caries and periodontal status, personal lifestyle factors, and dental health care behaviors were analyzed by multivariate logistic regression to estimate their associations with tooth loss. Statistical significance was evaluated with 2-sided tests with a significance level of P < 0.05.

RESULTS

This study found that the mean number of missing teeth and the prevalence of tooth loss among adults aged 35-44 years in Guangdong Province did not change significantly in the first decade (1995-2005) but decreased significantly in the second decade (2005-2015) (0.94 and 40.8% in 1995, 0.99 and 42.9% in 2005, and 0.63 and 33.3% in 2015, respectively). The mean number of MT by tooth position was highest for the first and second molars, and both were larger in the mandible than in the maxilla. In 1995, populations with low educational attainment and the presence of caries or periodontal pocket (periodontal probing depth ≥ 4 mm) were associated with a higher chance of MT > 0. In 2005, those with low educational attainment, the presence of caries, and 40-44 years old were associated with a higher chance of MT > 0. Moreover, in 2015, females, rural residents, and those with caries or periodontal pocket were associated with a higher chance of MT > 0.

CONCLUSIONS

Although tooth retention has improved recently (2005-2015) and the preventive effect of education level on tooth loss has increased over time, efforts to prevent tooth loss in adults need to be strengthened. Particular attention should be given to preventive interventions for women, rural residents, and those suffering from caries or periodontal pocket.

Smoking by altering the peri-implant microbial community structure compromises the responsiveness to treatment

Smoking is an essential risk factor for peri-implant diseases. It also hampers the clinical outcomes of peri-implant therapies. Nonetheless, the effect of smoking can go undetected until the emergence of clinical signs. Bacterial-induced inflammation is responsible for the initiation and progression of peri-implant diseases. We hypothesize that smoking impacts the peri-implant microbiome even in status of clinical health, putting it into a sub-healthy condition that responds poorly to peri-implant treatments. To validate this, peri-implant plaque samples from 18 participants including 10 smokers (S) and 8 non-smokers (NS), who had received implant prostheses were analyzed using metagenomic shotgun sequencing. The results showed that in addition to taxonomical and functional differences, the local stability in the S group was also shown to be much higher than that in the NS group, indicating greater stubbornness of the peri-implant microbiome associated with smoking. Besides, the topological structures were also distinct between the two groups. The highly connected species interacted more preferentially with each other in the S group (eigenvector centralization, 0.0273 in S and 0.0183 in NS), resulting in a greater tendency of forming small-world modules (modularity, 0.714 in S and 0.582 in NS). While in the NS group, inter-species correlations were more evenly distributed (clustering coefficient, 0.532 in S and 0.666 in NS). These alterations overall explained the greater stubbornness of the peri-implant microbiome associated with smoking, which may cause poor responsiveness to peri-implant therapies. From a microbial perspective, this may be a potential reason why smoking impacts negatively on the outcome of peri-implant treatments.

Association of pentosidine and homocysteine levels with number of teeth present in Japanese postmenopausal women

INTRODUCTION

Little is known about whether substances inducing tissue protein degeneration in the oral cavity are associated with the number of teeth present in postmenopausal women. We sought to investigate the association of urinary pentosidine and serum homocysteine levels with the number of teeth and subsequent tooth loss in Japanese postmenopausal women.

MATERIALS AND METHODS

Among participants in the Nagano Cohort Study, 785 postmenopausal women (mean age, 68.1 years) participated in the present study. The number of teeth was re-counted at the time of follow-up in 610 women. Poisson regression analysis was used to investigate differences in the number of teeth among quartiles of pentosidine or homocysteine, adjusting for covariates that correlated with the number of teeth. A Cox proportional hazard model was used to evaluate the association of subsequent tooth loss with pentosidine or homocysteine levels.

RESULTS

Pentosidine quartiles were not associated with the number of teeth at baseline. Participants in the highest homocysteine quartile had significantly fewer teeth at baseline than those in the third and lowest quartiles (p < 0.001 for both). Those in the second quartile had fewer teeth than those in the third (p = 0.001) and lowest (p < 0.001) quartiles. An increased risk of tooth loss during follow-up was significantly associated with higher urinary pentosidine (hazard ratio = 1.073 for 10 pmol/mgCre; p = 0.001).

CONCLUSION

Postmenopausal women with higher homocysteine levels had fewer teeth at baseline. A higher pentosidine concentration increased the risk of subsequent tooth loss. High pentosidine or homocysteine concentrations may be associated with tooth loss in postmenopausal women.

Tooth Loss and Risk of Lung Cancer among Urban Chinese Adults: A Cohort Study with Meta-Analysis

Epidemiological evidence on tooth loss and lung cancer risk remains limited, especially for smoking-specific associations. To investigate the association between tooth loss and lung cancer risk by smoking status, we first analyzed data from the Shanghai Men’s Health Study (n = 49,868) and the Shanghai Women’s Health Study (n = 44,309). Cox regression models were applied to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for lung cancer risk in relation to tooth loss. We also conducted a meta-analysis to summarize epidemiologic findings to date, incorporating results from the current study and six previously published studies. For 7.3 median follow-up years, 973 incident lung cancer cases (613 men and 360 women) were ascertained. After adjustment for major covariates, tooth loss was associated with an increased risk of lung cancer among men (HR [95% CI] for >10 teeth vs. none = 1.59 [1.21−2.11]) but not among women (0.86 [0.50−1.46]). The positive association was stronger among male current smokers (1.75 [1.26−2.45], p-interaction by smoking status = 0.04). In a meta-analysis incorporating 4052 lung cancer cases and 248,126 non-cases, tooth loss was associated with a 1.64-fold increased risk of developing lung cancer (relative risk [RR, 95% CI] for the uppermost with the lowest category = 1.64 [1.44−1.86]). The positive association was more evident among current smokers (1.86 [1.41−2.46]), but no significant associations were found among never or former smokers. Our findings suggest that tooth loss may be associated with an increased risk of lung cancer, and the association could be modified by smoking status.

Oral Health and the Altered Colonic Mucosa-Associated Gut Microbiota

BACKGROUND

Systemic diseases have been associated with oral health and gut microbiota. We examined the association between oral health and the community composition and structure of the adherent colonic gut microbiota.

METHODS

We obtained 197 snap-frozen colonic biopsies from 62 colonoscopy-confirmed polyp-free individuals. Microbial DNA was sequenced for the 16S rRNA V4 region using the Illumina MiSeq, and the sequences were assigned to the operational taxonomic unit based on SILVA. We used a questionnaire to ascertain tooth loss, gum disease, and lifestyle factors. We compared biodiversity and relative abundance of bacterial taxa based on the amount of tooth loss and the presence of gum disease. The multivariable negative binomial regression model for panel data was used to estimate the association between the bacterial count and oral health. False discovery rate-adjusted P value (q value) < .05 indicated statistical significance.

RESULTS

More tooth loss and gum disease were associated with lower bacterial alpha diversity. The relative abundance of Faecalibacterium was lower (q values < .05) with more tooth loss. The association was significant after adjusting for age, ethnicity, obesity, smoking, alcohol use, hypertension, diabetes, and the colon segment. The relative abundance of Bacteroides was higher in those with gum disease.

CONCLUSIONS

Oral health was associated with alteration in the community composition and structure of the adherent gut bacteria in the colon. The reduced anti-inflammatory Faecalibacterium in participants with more tooth loss may indicate systemic inflammation. Future studies are warranted to confirm our findings and investigate the systemic role of Faecalibacterium.

Bridged parametric survival models: General paradigm and speed improvements

BACKGROUND AND OBJECTIVE

With the recent surge in availability of large biomedical databases mostly derived from electronic health records, the need for the development of scalable marginal survival models with faster implementation cannot be more timely. The presence of clustering renders computational complexity, especially when the number of clusters is high. Marginalizing conditional survival models can violate the proportional hazards assumption for some frailty distributions, disrupting the connection to a conditional model. While theoretical connections between proportional hazard and accelerated failure time models exist, a computational framework to produce both for either marginal or conditional perspectives is lacking. Our objective is to provide fast, scalable bridged-survival models contained in a unified framework from which the effects and standard errors for the conditional hazard ratio, the marginal hazard ratio, the conditional acceleration factor, and the marginal acceleration factor can be estimated, and related to one another in a transparent fashion. Methods We formulate a Weibull parametric frailty likelihood for clustered survival times that can directly estimate the four estimands. Under a nonlinear mixed model specification with positive stable frailties powered by Gaussian quadrature, we put forth a novel closed form of the integrated likelihood that lowered the computational threshold for fitting these models. The method is illustrated on a real dataset generated from electronic health records examining tooth-loss.

RESULTS

Our novel closed form of the integrated likelihood significantly lowered the computational threshold for fitting these models by a factor of 12 (36 compared to 3 min) for the R package parfm, and a factor of 2400 for Gaussian Quadrature (4.6 days compared to 3 min) in SAS. Moreover, each of these estimands are connected by simple relationships of the parameters and the proportional hazards assumption is preserved for the marginal model. Our framework provides a flow of analysis enabling the fit of any/all of the 4 perspective-parameterization combinations. Conclusions We see the potential usefulness of our framework of bridged parametric survival models fitted with the Static-Stirling closed form likelihood. Bridged-survival models provide insights on subject-specific and population-level survival effects when their relation is transparent. SAS and R codes, along with implementation details on a pseudo data are provided.

[Trends in dental and oral health status in Germany between 1997 and 2014]

Hintergrund

Zur Veränderung der oralen Krankheitslast in der deutschen Allgemeinbevölkerung über die letzten 20 Jahre gibt es bisher keine umfassende Darstellung.

Fragestellung

Wie haben sich die Prävalenzen der Karies, der Parodontitis und des Zahnverlustes und deren Determinanten von 1997 bis 2014 in Deutschland verändert?

Material und Methoden

Ausgewertet wurden Daten von 35- bis 44- und 65- bis 74-Jährigen der Deutschen Mundgesundheitsstudien (DMS) III, IV und V sowie von 25- bis 74-Jährigen der Studies of Health in Pomerania (SHIP‑0 und SHIP-Trend-0). Der Decayed, Missing, Filled Teeth Index (DMFT), die Anzahl füllungsfreier Zähne, der Community Periodontal Index (CPI) als auch Daten zur Zahnzahl und Zahnlosigkeit wurden herangezogen.

Ergebnisse

In beiden Studien waren bzgl. der Determinanten eine Zunahme der Probanden mit hoher Schulbildung, eine geringfügige Abnahme der Raucher sowie eine Verbesserung der Mundhygiene zu beobachten. Bei den 35- bis 44-Jährigen stieg die Anzahl gesunder Zähne von 11,9 in DMS III auf 16,8 in DMS V, während bei den Senioren die Anzahl gesunder Zähne um 5,9 anstieg. In SHIP wurde ein ähnlicher Trend beobachtet. Die Prävalenz des höchsten CPI-Grades 4 fiel in den DMS bei den 35- bis 44-Jährigen von 9,3 % auf 3,5 %; bei den Senioren lag der Wert 2014 wieder auf dem Niveau von 1997 (10,5 % und 9,8 %). Parallel dazu hat sich der Anteil der zahnlosen Senioren in beiden Studien halbiert. Die Zahnzahl nahm über alle Altersklassen hinweg zu.

Diskussion

DMS und SHIP zeigten über die Jahre konsistent eine Zunahme gesunder, füllungsfreier Zähne, eine geringfügige Reduktion der Probanden mit CPI-Grad 4 sowie mehr Zahnerhalt und weniger Zahnlosigkeit. Bedingt durch den höheren Zahnerhalt und die Alterung der Gesellschaft ist in Zukunft mit einer erhöhten parodontalen Behandlungslast zu rechnen.

Zusatzmaterial online

Zusätzliche Informationen sind in der Online-Version dieses Artikels (10.1007/s00103-021-03345-6) enthalten.

Cigarette Smoking and Root Filled Teeth Extraction: Systematic Review and Meta-Analysis

AIM

The aim of this systematic review and meta-analysis was to investigate the possible association between smoking habits and the occurrence of root-filled teeth (RFT) extraction.

MATERIAL AND METHODS

The Population, Intervention, Comparison, and Outcome (PICO) question was in adult patients who had RFT, does the absence or presence of smoking habits affect the prevalence of extracted RFT? Systematic MEDLINE/PubMed, Wiley Online Database, Web of Science, and PRISMA protocol was used to evaluate and present the results. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system was used for certainty in the evidence. The risk of bias was assessed according to Cochrane Collaboration common scheme for bias and ROBINS-I tool. Cumulative meta-analysis was performed with a random effects model. PROSPERO registration code: CRD42020165279.

RESULTS

After search strategy, 571 articles were recovered, seven were selected for full-text analysis, and two reported data on inclusion criteria, including 516 RFT, 351 in non-smokers, and 165 in smoker subjects. The meta-analysis provided an odds ratio indicating significant association between smoking and the prevalence of extracted RFT (OR = 3.43, 95% CI = 1.17-10.05, p = 0.02, I² = 64%). The certainty of the literature assessment was low per GRADE. Both studies were considered as moderate risk of bias.

CONCLUSIONS

Tobacco smoking should be considered a negative prognostic factor for the outcome of root canal treatment, although the quality of the evidence is low. RFT of smoking patients are three times more likely to be extracted. Continuing to smoke after endodontic treatment may increase the risk of treatment failure. However, the overall strength of evidence is low. This must be considered a limitation of the present study and the conclusion should be valued with caution.

The Buffalo OsteoPerio Studies: Summary of our findings and the unique contributions of Robert J. Genco, DDS, PhD

Purpose

Robert ("Bob") Genco was a member of the research team that established the Buffalo Osteoporosis and Periodontal Disease (OsteoPerio) study. Here we detail the scientific discoveries emanating from this enduring collaboration.

Study cohorts

OsteoPerio is ancillary to the Women's Health Initiative Observational Study (WHI-OS). WHI-OS is a longitudinal study of 93,000 postmenopausal women aged 50-79 enrolled at 40 U.S. centers (enrolled 1993-1998). OsteoPerio enrolled 1342 women 3 years later (1997-2001) from the Buffalo WHI-OS participants to study the association of osteoporosis and periodontal disease. OsteoPerio has 5-year (N=1026) and 17-year (N=518) follow-up examinations.

Participants

In addition to information on health status from the WHI-OS, OsteoPerio further included comprehensive oral examinations assessing probing pocket depth, clinical attachment loss, gingival bleeding, alveolar crestal height, and DMFT. Systemic bone density (measured by DXA), blood, saliva and plaque also were collected at all three visits.

Summary

Findings from these studies are summarized here.

Khat Chewing Induces a Floral Shift in Dental Material-Associated Microbiota: A Preliminary Study

Background

The habit of khat (Catha Edulis Forskal) chewing is widely practiced in the southern regions of Saudi Arabia, Yemen, and East Africa. This social habit has tremendous effects on oral and general health of khat chewers. Khat may affect bacterial species in plaque biofilms on oral rehabilitation materials. This preliminary case-controlled study aimed to assess and compare the effect of khat chewing on bacterial biodiversity between non-khat chewers (NKC) and khat chewers (KC) in oral biofilms on oral rehabilitation materials using polymerase chain reaction (PCR).

Material/Methods

Fifty participants were organized into 2 equal groups of NKC and KC, each containing 5 subgroups related to filling material type. Some participants had amalgam (A) or composite (C) restorations, while others had feldspathic porcelain (FP), nickel chromium (NC), and zirconia ceramic (ZC) crowns or bridges. Oral biofilm samples were collected from all participants, DNA was extracted, and samples were subjected to PCR. Bacterial species were then identified and counted. PCR products were sequenced to detect similarity. Partial 16S rRNA gene sequences of the current study samples were compared with 16S rRNA gene sequences from GenBank using BLAST on the National Center for Biotechnology Information website.

Results

The Streptococcus sp. was the most common bacterial species among our participants (40; 80%), followed by Lactobacillus and Veillonella spp., accounting for 12% (6) and 8% (4), respectively. Streptococcus sp. was observed equally among NKC and KC, but Lactobacillus and Veillonella spp. were higher in KC and NKC, respectively. Lactobacillus was associated mainly with prosthetic materials, and Streptococcus was found among all examined dental restorative materials.

Conclusions

This research concluded that khat chewing significantly affects bacterial biodiversity in oral biofilms in the presence of different restorative and prosthetic dental materials.

Dental Care Utilization and Service Needs Among American Indian/Alaska Native/Native Hawaiian Elders: 2008 to 2017

Objective: This study describes trends in self-reported dental care utilization and services needed among American Indian/Alaska Native/Native Hawaiian (AI/AN/NH) elders 2008 to 2017, including demographic and socioeconomic variability. Method: Researchers utilized data from the Survey of Elders administered by the National Resource Center on Native American Aging, representing all regions of the United States and 262 tribes. Data were analyzed comparing means over time and between/within groups. Results: Between April 2008 and March 2017, there was a statistically significant (p < .001) increase in the proportion of older adults who visited a dentist and an increase in need for treatment. A smaller proportion of older adults reported need for treatment among those who were privately insured, high income, had no tobacco use, were employed, and had visited a dental professional in the last year. Discussion: These findings highlight current dental needs among tribal elders while also identifying elders at greater risk of poor oral health.

Effect of smoking cessation on tooth loss: a systematic review with meta-analysis

BACKGROUND

Smoking is a major risk factor for periodontitis and tooth loss. Smoking cessation has a positive impact in periodontal treatment. However, so far, no systematic review has evaluated the effect of smoking cessation on tooth loss. Therefore, this review aimed to evaluate if smoking cessation reduces the risk of tooth loss.

METHODS

Observational (cross-sectional and longitudinal) studies that investigated the association between smoking cessation and tooth loss were included. MEDLINE, EMBASE and LILACS databases were searched for articles published up to November 2018. Pooled results for subgroups of current and former smokers were compared in meta-analysis. Meta-regression was used to test the influence of smoking status on estimates and explore the heterogeneity.

RESULTS

Of 230 potentially relevant publications, 21 studies were included in the qualitative review and 12 in the quantitative analysis. Meta-analysis of cross-sectional studies did not show any differences between former and current smokers in the chance of losing 1 or more teeth (OR = 1.00; 95% CI = 0.80 to 1.24, I² = 80%), losing more than 8 teeth (OR = 1.02; 95% CI = 0.78 to 1.32, I² = 0%) or being edentulous (OR = 1.37; 95% CI = 0.94 to 1.99, I² = 98%). Meta-analysis from longitudinal studies showed that, when compared to never smokers, former smokers presented no increased risk of tooth loss (RR = 1.15; 95% CI = 0.98 to 1.35, I² = 76%), while current smokers presented an increased risk of tooth loss (RR = 2.60; 95% CI = 2.29 to 2.96, I² = 61%). Meta-regression showed that, among former smokers, the time of cessation was the variable that better explained heterogeneity (approximately 60%).

CONCLUSIONS

Risk for tooth loss in former smokers is comparable to that of never smokers. Moreover, former smokers have a reduced risk of tooth loss, when compared to current smokers.

The Association Between Risk Behaviors and Race/Ethnicity on Dental Visiting Among High School Students in Hawai'i: Hawai'i Youth Risk Behavior Survey, 2013, 2015

Risk behaviors are known to adversely affect health outcomes, but the relationship between youth risk behaviors and oral health remains unclear. The objective of this study is to examine the likelihood of dental visiting among Hawai'i public high school students by demographic factors and number of adverse risk behaviors. Aggregated 2013 and 2015 Hawai'i public high school Youth Risk and Behavior Survey (YRBS) data was analyzed from 10,720 students. Results showed that, overall, 77.1% of students reported a dental visit in the past 12 months. Students who were ages 15, 16, 17, and ≥ 18 years old were less likely than students who were ≤ 14 years old to visit a dentist. Those who identified as Hispanic, Native Hawaiian, Filipino, Other Pacific Islander, and students who identified as more than one race/ethnicity were less likely to visit the dentist than their white counterparts. In addition, students having either 4 risk behaviors or ≥ 5 risk behaviors were less likely to report a dental visit than those with no risk behaviors. These findings support the presence of disparities in oral health care utilization among high school students in Hawai'i and reveal a significant association between age, number of risk behaviors, and race/ethnicity with the likelihood of utilizing dental services. Oral health programs should consider screening for risk factors and multiple risk behaviors, integrating with other health programs that share similar risk behaviors, and account for cultural differences in their development, implementation, and evaluation.

Cohort profile: the Buffalo OsteoPerio microbiome prospective cohort study

PURPOSE

The Buffalo Osteoporosis and Periodontal Disease (OsteoPerio) study is a prospective cohort study focused on the relationship between the microbiome and oral and systemic health outcomes in postmenopausal women. The cohort was established to examine how the oral microbiome is affected by (and how it affects) periodontal disease presence, severity and progression and to characterise the relationship between the microbiome, lifestyle habits and systemic disease outcomes.

PARTICIPANTS

Participants (n=1342) were postmenopausal women who were participating in the Women's Health Initiative observational study at the Buffalo, New York clinical centre. There were 1026 participants at the 5-year follow-up visit and 518 at the 15-year visit.

FINDINGS TO DATE

Data collected include questionnaires, anthropometric measures, serum blood and saliva samples. At each clinic visit, participants completed a comprehensive oral examination to measure oral health and the oral microbiome. Preliminary findings have contributed to our understanding of risk factors for periodontal disease and the relationship between the oral microbiome and periodontal disease.

FUTURE PLANS

The novel microbiome data collected on a large sample of participants at three time points will be used to answer a variety of research questions focused on temporal changes in the microbiome and the relationship between the oral microbiome and oral and systemic disease outcomes. Little is currently known about the relationship between the oral microbiome and health outcomes in older adults; data from the OsteoPerio cohort will fill this gap. Microbiome samples are currently being analysed using next-generation sequencing technology with an anticipated completion date of late 2018.

Relevance of smoking interventions for dental clinic patients with smoking-related disease

OBJECTIVES

Despite a decline in cigarette smoking in the United States, high rates persist among the socioeconomically underserved who consequently are at risk for smoking-related disease (SRD). Since academically affiliated dental clinics are more likely to encounter underserved patients, smoking interventions could address both the oral and systemic risks of continued smoking. To determine the relevance of providing smoking counseling in the context of SRD, this study examined the prevalence of smoking and its associations with socioeconomic status (SES), SRD and its sequela, and medication use.

METHODS

Socioeconomic and smoking status was determined from 1,797 electronic health records of a sample of patients at a Pennsylvania dental clinic in 2010. Low SES included patients who were covered by a Medicaid program (MA) or "self-payers." High SES encompassed those with an employment-based commercial dental insurance (COM). Self-reported smoking rates were compared with patients' SES, SRDs or sequela, and medications being used for the management of their SRDs.

RESULTS

Overall, 41.7 percent of these patients were smoking. Smoking was related to SES with the highest rate (52.7 percent) among MA patients compared with 31.5 percent in patients with COM. In addition, 37 percent of patients with SRD or sequela and 33 percent who were taking medications for their management were smoking.

CONCLUSIONS

Academically affiliated dental clinics are more likely to encounter underserved patients who smoke and have SRD. For greater patient impact and receptivity, it is essential that tobacco cessation interventions emphasize the risks of smoking on systemic as well as oral health.

Smoking May Lead to Marginal Bone Loss Around Non-Submerged Implants During Bone Healing by Altering Salivary Microbiome: A Prospective Study

BACKGROUND

This prospective and controlled study elucidates the impact of smoking on the salivary microbiome and its further influence on marginal bone loss (MBL) around an implant during a 3-month bone-healing period.

METHODS

Saliva samples were collected preoperatively from 20 periodontally healthy patients with single-tooth replacement in the posterior mandible (smokers [n = 10] and non-smokers [n = 10]). Sequencing of 16S recombinant RNA gene amplicons was used to characterize the salivary microbiome. Each patient received implant surgery after oral clinical assessment, and MBL around the implant was measured during a 3-month healing period.

RESULTS

In total, 871,389 sequences were compared against the Human Oral Microbiome Database for bacterial identification. Microbial signatures of smokers exhibited lower diversity and richness, with a significant decrease in uncultured species. The phyla Gracilibacteria and Saccharibacteria showed a significant decrease in smokers. The genera Streptococcus, Lachnoanaerobaculum, Stomatobaculum, and Eubacterium were significantly increased in smokers, whereas Selenomonas, Selenomonas [G-3], and Catonella were significantly decreased. Specifically, Porphyromonas gingivalis was significantly more abundant in smokers, which was positively related to the severity of MBL during bone healing.

CONCLUSIONS

Smoking shapes the salivary microbiome in states of clinical health, and further may influence MBL during bone healing by creating high at-risk-for-harm communities. Understanding of the distinctly divergent oral microbiome in smokers and non-smokers is a base for personalized therapeutics for this high-risk cohort and also a base for further study on the pathologic mechanisms.

History of Periodontitis Diagnosis and Edentulism as Predictors of Cardiovascular Disease, Stroke, and Mortality in Postmenopausal Women

BACKGROUND

Few studies have reported associations between periodontitis and cardiovascular disease (CVD) risk in older women, which is the objective of the present investigation.

METHODS AND RESULTS

Participants were 57 001 postmenopausal women ages 55 to 89 years (mean 68 years; >85% 60 and older) who were enrolled (1993-1998) in the Women's Health Initiative Observational Study, and were without known CVD when history of periodontitis and edentulism was assessed by questionnaire at study Year-5 (1998-2003). There were 3589 incident CVD events and 3816 total deaths during a mean follow-up of 6.7 years. In multivariable analysis, periodontitis was not associated with CVD events, but was associated with higher total mortality (hazard ratio (HR)=1.12, 95% CI: 1.05-1.21). Edentulism was associated with higher age- and smoking-adjusted risks of CVD (HR=1.42, 95% CI: 1.27-1.59) and mortality (HR=1.47, 95% CI: 1.32-1.63). Further adjustment eliminated the association with CVD, but mortality remained significantly increased (HR=1.17, 95% CI: 1.02-1.33). Stratification on age, race-ethnicity, smoking, and diabetes mellitus yielded comparable results; however, edentulism was more strongly associated with CVD in women reporting ≥1 dental visit (HR=1.57) compared with <1 visit (HR 1.03, interaction P=0.004) annually.

CONCLUSIONS

In community-dwelling older women, edentulism was associated with increased risks of CVD and total mortality, and presence of periodontitis, which is more prevalent than edentulism, was associated with 17% higher mortality rate. These findings suggest that improving periodontal condition of the general population could reduce overall mortality.

Vitamin D Status and Tooth Loss in Postmenopausal Females: The Buffalo Osteoporosis and Periodontal Disease (OsteoPerio) Study

BACKGROUND

Vitamin D is hypothesized to reduce risk for tooth loss via its influence on bone health, inflammation, and the immune response. The association between plasma 25-hydroxyvitamin D [25(OH)D] concentrations and prevalence and 5-year incidence of tooth loss in a cohort of postmenopausal females was examined.

METHODS

Participants underwent oral examinations at study baseline (1997 to 2000) and follow-up (2002 to 2005) to determine the number of missing teeth and 5-year incidence of tooth loss, respectively. At both visits, females self-reported reasons for each missing tooth. At baseline, 152 females reported no history of tooth loss, and 628 were categorized as reporting a history of tooth loss as a result of periodontal disease (n = 70) or caries (n = 558) (total n = 780). At follow-up, 96, 376, 48, and 328 females were categorized into the aforementioned categories related to tooth loss (total n = 472). Logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for tooth loss by category of baseline 25(OH)D (nmol/L) concentrations. Models were adjusted for age, income, smoking status, frequency of dental visits, waist circumference, and recreational physical activity. P value for trend was estimated using continuous concentrations of 25(OH)D.

RESULTS

Among females with 25(OH)D ≥50 (adequate vitamin D status) compared to <50 nmol/L (deficient/inadequate), the adjusted ORs were 1.24 (95% CI = 0.82 to 1.87), P-trend = <0.05 for the history (prevalence) of tooth loss resulting from periodontal disease or caries and 1.07 (95% CI = 0.62 to 1.85), P-trend = 0.11 for the incidence of tooth loss resulting from periodontal disease or caries. No statistically significant association was observed between 25(OH)D and the history or incidence of tooth loss caused by periodontal disease. An increased odds of the history of tooth loss attributable to caries was observed with increasing concentrations of 25(OH)D (P-trend = <0.05) but was not confirmed in prospective analyses.

CONCLUSION

In this cohort of postmenopausal females, the data do not support an association between vitamin D status and tooth loss.

Association between salivary sialic acid and periodontal health status among smokers

BACKGROUND

Smoking is an environmental risk factor causing poor dental health. Sialic acid is a salivary marker of oxidative stress for research of periodontal diseases.

AIMS

To identify diagnostic sialic acid fraction and its scavenger effect for periodontal diseases among smokers and periodental health status.

SUBJECT AND METHOD

This study carried out in the Khanzad specialized dental center - Erbil city. The study population is composed of 62 convenient samples. A structured interview questionnaire form was used to collect data about socio-demographic properties and smoking history. Clinical measurements were carried out to measure periodontal health status. Un-stimulated whole saliva samples were collected for measuring sialic acid fractions. Statistical package for social science (SPSS, version 18), was used for analysis and odds ratio.

RESULTS

Risk of smoking increased significantly in young to mid ages, which included most of the current smokers, with periodontal diseases, and high total free sialic acid. Risk of periodontitis and teeth missing increased significantly by long duration of smoking, bad tooth brushing, and poor eating habits. Risk of teeth mobility and loss decreased significantly by early smoking cessation and low income. High levels of free sialic acid correlated significantly in current smokers with medium and deep pocket depth.

CONCLUSION

Salivary free sialic acid may be used as a diagnostic oxidative stress biomarker for periodontal diseases among young current smokers. Cumulative destructive effect of long duration of smoking on the periodontum can be controlled by smoking cessation, good oral hygiene and diet habit in early old ages.

Periodontal disease severity and cancer risk in postmenopausal women: the Buffalo OsteoPerio Study

PURPOSE

Few prospective studies have reported on relationships between objective periodontal disease (PD) measures and cancer risk. This association was examined in 1,337 postmenopausal women participating in the Buffalo OsteoPerio Study.

METHODS

Oral alveolar crestal height (ACH) was measured using oral radiographs. Incident cancers were adjudicated with medical records. Hazard ratios (HRs) and 95 % confidence intervals (CIs) for associations between ACH and incident cancer outcomes were estimated using Cox proportional hazards models.

RESULTS

There were 203 confirmed total incident cancer cases during follow-up (12.2 ± 4.2 years). After adjusting for age and smoking, there were no statistically significant associations between ACH-defined PD categories and total cancer risk (mild/moderate vs. none: HR 1.33, 95 % CI 0.91-1.94; severe vs. none: HR 1.20, 95 % CI 0.77-1.86). ACH-defined PD categories were not associated with common site-specific cancers. Whole-mouth mean and worst-site ACH (per 1 mm loss) were significantly associated with increased risk of lung (adjusted HR 1.81, 95 % CI 1.30-2.54; adjusted HR 1.34, 95 % CI 1.08-1.66, respectively), but not total or other site-specific cancer. Smoking status modified the associations between continuous ACH variables and total cancer risk; measures of PD were associated with total cancer among smokers but not never smokers (interaction p = 0.02 and p < 0.01 for whole-mouth mean and worst-site ACH, respectively).

CONCLUSIONS

ACH-defined PD was associated with total cancer risk in ever but not never smoking postmenopausal women. Whole-mouth mean and worst-site ACH were associated with increased lung cancer risk. However, these results need to be interpreted cautiously given the small number of lung cancer cases (n = 18). Further research utilizing a larger sample is warranted to confirm the relationships among oral bone loss, site-specific cancers, and total cancer.

Factors associated with having less than 20 natural teeth in rural adults: a cross-sectional study

BACKGROUND

Some systematic reviews have consistently indicated a positive link between Metabolic syndrome, impairedfasting glucose, all-cause or circulatory disease-related mortality, general health, periodontitis, and toothloss. This study was to examine the prevalence of number of remaining teeth <20 and associated risk factors among adults in a rural area of Taiwan.

METHODS

A community-based, cross-sectional study was conducted in southwestern coastal Taiwan in 2013; 6680 residents aged 20-64 years were studied. Oral hygiene, substance use, dietary habits, and metabolic syndrome were explored as potential risk factors for number of remaining teeth <20 using logistic regression analysis.

RESULTS

The mean number of remaining teeth was 24.6 (SD = 7.4), and 16.3 % (n = 1085) of the participants had number of remaining teeth <20. Men had significantly less frequent use of dental floss, unhealthy dietary habits, more substance use and metabolic syndrome than did women (p <0.001). However, women tended to have fewer teeth than men (p <0.001). After adjusting for potential confounders, older age (odds ratio [OR] = 4.56, 95 % confidence interval [CI]: 3.74-5.55), female (OR = 1.88, 95 % CI: 1.56-2.25), less education (OR = 2.40, 95 % CI: 1.90-3.02), infrequent use of dental floss (OR = 1.94, 95 % CI: 1.66-2.27), substance use (OR = 1.32, 95 % CI: 1.09-1.59), and number of metabolic syndrome components (OR = 1.10, 95 % CI: 1.04-1.16) were independently associated with a higher risk of number of remaining teeth <20.

CONCLUSIONS

Number of remaining teeth <20 was highly prevalent among rural adults. In addition to unmodifiable factors, infrequent use of dental floss, substance use, and metabolic syndrome were risk factors associated with tooth loss.

Association between smoking intensity and duration and tooth loss among Finnish middle-aged adults: The Northern Finland Birth Cohort 1966 Project

Background

Smoking is a risk factor for oral diseases and tooth loss. Our aim was to analyze the association between smoking intensity and duration and tooth loss among middle-aged Finnish adults who have enjoyed access to subsidized dental care since childhood.

Methods

This study was based on the Northern Finland Birth Cohort 1966 (NFBC1966) Project, a representative sample of Finnish 46-year-olds. Altogether 1946 46-year-olds participated in a survey and comprehensive clinical oral examinations. We measured smoking exposure in pack-years (intensity) and years of smoking (duration) combined with recent smoking status (current, former, occasional or never). We used negative binomial regression models to estimate the unadjusted and adjusted relative risks (RR) with corresponding 95 % confidence intervals (CI) for tooth loss as an outcome. Gender, education, tooth brushing frequency, dental plaque, diabetes and alcohol use served as explanatory variables for the adjusted models.

Results

Smoking intensity associated with tooth loss in an exposure-dependent manner: those with a high number of pack-years had a significantly greater probability of tooth loss than never smokers: 11–20 pack-years (RR = 1.55, 95 % CI = 1.15–2.08) and 21 or more pack-years (RR = 1.78, 95 % CI = 1.36–2.33). Smoking duration also associated with tooth loss: those who had smoked for several years had a significantly higher probability of tooth loss than never smokers: 21–30 years of smoking (RR = 1.66, 95 % CI = 1.29–2.12) and 31 or more years of smoking (RR = 1.72, 95 % CI = 1.20–2.45).

Conclusions

We found a clear intensity- and duration-dependent relation between smoking and tooth loss among adults with access to subsidized dental care and in good oral health.

The Influence of Smoking on the Peri-Implant Microbiome

Smokers are at high risk for 2 bacterially driven oral diseases: peri-implant mucositis and peri-implantitis. Therefore, the purpose of this investigation was to use a deep-sequencing approach to identify the effect of smoking on the peri-implant microbiome in states of health and disease. Peri-implant biofilm samples were collected from 80 partially edentulous subjects with peri-implant health, peri-implant mucositis, and peri-implantitis. Bacterial DNA was isolated and 16S ribsomal RNA gene libraries sequenced using 454-pyrosequencing targeting the V1 to V3 and V7 to V9 regions. In total, 790,692 classifiable sequences were compared against the HOMD database for bacterial identification. Community-level comparisons were carried out using UniFrac and nonparametric tests. Microbial signatures of health in smokers exhibited lower diversity compared to nonsmokers, with significant enrichment for disease-associated species. Shifts from health to mucositis were accompanied by loss of several health-associated species, leading to a further decrease in diversity. Peri-implantitis did not differ significantly from mucositis in species richness or evenness. In nonsmokers, by contrast, the shift from health to mucositis resembled primary ecological succession, with acquisition of several species without replacement of pioneer organisms, thereby creating a significant increase in diversity. Again, few differences were detected between peri-implantitis and mucositis. Thus, our data suggest that smoking shapes the peri-implant microbiomes even in states of clinical health, by supporting a pathogen-rich community. In both smokers and nonsmokers, peri-implant mucositis appears to be a pivotal event in disease progression, creating high-at-risk-for-harm communities. However, ecological succession follows distinctly divergent pathways in smokers and nonsmokers, indicating a need for personalized therapeutics for control and prevention of disease in these 2 cohorts.

History of periodontal disease diagnosis and lung cancer incidence in the Women's Health Initiative Observational Study

PURPOSE

While some evidence suggests that periodontal disease (PD) might be positively associated with lung cancer, prospective studies in women are limited. Previous findings may reflect residual confounding by smoking. The study aims to determine whether history of PD diagnosis is associated with incident lung cancer in a large cohort of postmenopausal women.

METHODS

Prospective analyses were conducted in a cohort of 77,485 postmenopausal women enrolled in the Women's Health Initiative Observational Study. History of PD (prevalence of 26.1 %) was self-reported, and 754 incident lung cancer cases occurred during an average 6.8 (SD ± 2.6) years of follow-up. Cox proportional hazards regression analysis was used to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs).

RESULTS

Overall, PD was positively associated with lung cancer risk after adjusting for detailed smoking history including smoking status and pack-years of smoking (HR 1.24, 95 % CI 1.07-1.45). There was a positive additive interaction between PD with pack-years of smoking (p = 0.02), suggesting a potential synergistic effect between PD and smoking intensity on lung cancer. The association between PD and lung cancer was stronger in former smokers. When restricted to never-smokers, PD was not associated with lung cancer (HR 1.02, 95 % CI 0.68-1.53).

CONCLUSIONS

Periodontal disease was not independently associated with lung cancer in non-smoking postmenopausal women. However, smoking and PD jointly increased lung cancer risk beyond that expected from the sum of the each effect separately. The potential synergism between PD and smoking on lung cancer warrants further examination.

Patient stratification for preventive care in dentistry

Prevention reduces tooth loss, but little evidence supports biannual preventive care for all adults. We used risk-based approaches to test tooth loss association with 1 vs. 2 annual preventive visits in high-risk (HiR) and low-risk (LoR) patients. Insurance claims for 16 years for 5,117 adults were evaluated retrospectively for tooth extraction events. Patients were classified as HiR for progressive periodontitis if they had ≥ 1 of the risk factors (RFs) smoking, diabetes, interleukin-1 genotype; or as LoR if no RFs. LoR event rates were 13.8% and 16.4% for 2 or 1 annual preventive visits (absolute risk reduction, 2.6%; 95%CI, 0.5% to 5.8%; p = .092). HiR event rates were 16.9% and 22.1% for 2 and 1 preventive visits (absolute risk reduction, 5.2%; 95%CI, 1.8% to 8.4%; p = .002). Increasing RFs increased events (p < .001). Oral health care costs were not increased by any single RF, regardless of prevention frequency (p > .41), but multiple RFs increased costs vs. no (p < .001) or 1 RF (p = .001). For LoR individuals, the association between preventive dental visits and tooth loss was not significantly different whether the frequency was once or twice annually. A personalized medicine approach combining gene biomarkers with conventional risk factors to stratify populations may be useful in resource allocation for preventive dentistry (ClinicalTrials.gov, NCT01584479).