Predictors of tooth loss due to periodontal disease in patients following long-term periodontal maintenance

Tooth loss from the perspective of studies employing a life course approach: a systematic review

The life course approach scrutinizes factors that shape the development of diseases over time. Tooth loss, which is influenced by social, behavioral and biological factors, can occur at various stages of life and tends to become more prevalent in later years. This systematic review examined the influence of socioeconomic, psychosocial, biological and behavioral adversities in life on the likelihood of tooth loss. Searches were conducted in the Embase, PubMed, Web of Science, Ovid, PsycINFO, Scopus and LILACS databases. Reference management was performed using EndNote online. The risk of bias was appraised using the Newcastle-Ottawa Scale (NOS). The electronic searches yielded 1366 records, 17 of which (13 cohort and four cross-sectional studies) met the inclusion criteria. According to the NOS, all studies had a low risk of bias. Two studies found a link between a lower education and higher incidence of tooth loss and socioeconomic status exerted a significant influence in 47% of the studies. Disadvantaged socioeconomic trajectories and health-related factors, such as smoking, general health perception and oral health behaviors, increased the likelihood of tooth loss. Factors such as dental visits, a history of toothache and exposure to fluoridated water influenced the likelihood of tooth loss. Individuals who experienced adversities in socioeconomic, behavioral and biological aspects throughout their life course were more prone to tooth loss.

Influence of mobility on the long-term risk of tooth extraction/loss in periodontitis patients. A systematic review and meta-analysis

The aim of this systematic review (SR) was to assess whether tooth mobility (TM) increases the risk of tooth extraction/loss. The protocol was registered in PROSPERO database (CRD42023485425). The focused PECO questions were as follows: (1) "In patients with periodontitis, undergoing periodontal treatment, are teeth affected by mobility at higher risk of being extracted/lost compared to non-mobile teeth, with a minimum follow-up of 10 years?" and (2) "In these patients, does varying degrees of tooth mobility increase the risk of tooth extraction/loss, with a minimum follow-up of 10 years?". Results were reported according to PRISMA statement. Electronic and manual searches were conducted to identify longitudinal studies. The different assessments of tooth mobility were pooled into three groups: TM0: Undetectable tooth mobility, TM1: Horizontal/Mesio-distal mobility ≤1 mm, TM2: Horizontal/Mesio-distal mobility >1 mm or vertical tooth mobility. Tooth loss was the primary outcome. Various meta-analyses were conducted, including subgroup analyses considering different follow-up lengths and the timing of TM assessment, along with sensitivity analyses. A trial sequential analysis was also performed. Eleven studies were included (1883 patients). The mean follow-up range was 10-25 years. The weighted total of included teeth, based on the sample size, was 18 918, with a total of 1604 (8.47%) extracted/lost teeth. The overall rate of tooth extraction/loss increased with increasing mobility: TM0 was associated with a 5.85% rate (866/14822), TM1 with the 11.8% (384/3255), TM2 with the 40.3% (339/841). Mobile teeth (TM1/TM2) were at an increased risk for tooth extraction/loss, compared to TM0 (HR: 2.85; [95% CI 1.88-4.32]; p < .00001). TM1 had a higher risk than TM0 (HR: 1.96; [95% CI 1.09-3.53]; p < .00001). TM2 had a higher risk than TM1 (HR: 2.85; [95% CI 2.19-3.70]; p < .00001) and TM0 (HR: 7.12; [95% CI 3.27-15.51]; p < .00001). The results of the tests for subgroup differences were not significant. Sensitivity meta-analyses yielded consistent results with other meta-analyses. Within the limits of the quality of the studies included in the meta-analyses, mobile teeth were at higher risk of being extracted/lost in the long-term and higher degrees of TM significantly influenced clinicians' decision to extract a tooth. However, most teeth can be retained in the long-term and thus TM should not be considered a reason for extraction or a risk factor for tooth loss, regardless of the degree of TM.

Influence of residual pockets on periodontal tooth loss: A retrospective analysis

BACKGROUND

Individuals enrolled in supportive periodontal therapy (SPT) can still present with tooth loss due to periodontitis (TLP). There is limited evidence on the influence of residual pockets (RPc) and a defined "threshold" at which a patient's profile is set to be at high risk for TLP in the literature. Therefore, this study aimed to assess the influence of RPc on TLP and determine the prognostic performance of RPc compared to the staging and grading of periodontitis on TLP risk.

METHODS

Clinical data from 168 patients (3869 teeth) treated for periodontitis and receiving SPT for at least 10 years were evaluated in this retrospective study. TLP and the percentage of sites with RPc ≥ 5 mm or ≥6 mm per patient were collected. The prognostic performance of RPc was compared to the staging and grading of the disease on TLP using a multilevel Cox proportional hazard regression model.

RESULTS

Over a median follow-up of 25 years, 13.7% of teeth were lost, 4.6% of which were due to periodontitis. Most patients with TLP had ≥1 site with RPc ≥5 mm (90.8%) or ≥6 mm (77.6%). Multivariate multilevel Cox regression revealed that patients with >15% of sites with RPc ≥5 mm had a hazard ratio of 2.34, and grade C had a hazard ratio of 4.6 for TLP compared to RPc ≤4 mm/grade A. Grading exhibited the best discrimination and model fit.

CONCLUSION

Patients with RPc ≥5 mm at >15% of the sites are at risk for tooth loss. Grading and RPc ≥5 mm displayed very good predictive capability of TLP.

Modelling time-varying risk factors of tooth loss: Results from joint model compared with extended Cox regression model

AIM

To illustrate the use of joint models (JMs) for longitudinal and survival data in estimating risk factors of tooth loss as a function of time-varying endogenous periodontal biomarkers (probing pocket depth [PPD], alveolar bone loss [ABL] and mobility [MOB]).

MATERIALS AND METHODS

We used data from the Veterans Affairs Dental Longitudinal Study, a longitudinal cohort study of over 30 years of follow-up. We compared the results from the JM with those from the extended Cox regression model which assumes that the time-varying covariates are exogenous.

RESULTS

Our results showed that PPD is an important risk factor of tooth loss, but each model produced different estimates of the hazard. In the tooth-level analysis, based on the JM, the hazard of tooth loss increased by 4.57 (95% confidence interval [CI]: 2.13-8.50) times for a 1-mm increase in maximum PPD, whereas based on the extended Cox model, the hazard of tooth loss increased by 1.60 (95% CI: 1.37-1.87) times.

CONCLUSIONS

JMs can incorporate time-varying periodontal biomarkers to estimate the hazard of tooth loss. As JMs are not commonly used in oral health research, we provide a comprehensive set of R codes and an example dataset to implement the method.

Functional Load Capacity of Teeth with Reduced Periodontal Support: A Finite Element Analysis

The purpose of this study was to investigate the functional load capacity of the periodontal ligament (PDL) in a full arch maxilla and mandible model using a numerical simulation. The goal was to determine the functional load pattern in multi- and single-rooted teeth with full and reduced periodontal support. CBCT data were used to create 3D models of a maxilla and mandible. The DICOM dataset was used to create a CAD model. For a precise description of the surfaces of each structure (enamel, dentin, cementum, pulp, PDL, gingiva, bone), each tooth was segmented separately, and the biomechanical characteristics were considered. Finite Element Analysis (FEA) software computed the biomechanical behavior of the stepwise increased force of 700 N in the cranial and 350 N in the ventral direction of the muscle approach of the masseter muscle. The periodontal attachment (cementum-PDL-bone contact) was subsequently reduced in 1 mm increments, and the simulation was repeated. Quantitative (pressure, tension, and deformation) and qualitative (color-coded images) data were recorded and descriptively analyzed. The teeth with the highest load capacities were the upper and lower molars (0.4-0.6 MPa), followed by the premolars (0.4-0.5 MPa) and canines (0.3-0.4 MPa) when vertically loaded. Qualitative data showed that the areas with the highest stress in the PDL were single-rooted teeth in the cervical and apical area and molars in the cervical and apical area in addition to the furcation roof. In both single- and multi-rooted teeth, the gradual reduction in bone levels caused an increase in the load on the remaining PDL. Cervical and apical areas, as well as the furcation roof, are the zones with the highest functional stress. The greater the bone loss, the higher the mechanical load on the residual periodontal supporting structures.

Factors Associated with the Extent of Clinical Attachment Loss in Periodontitis: A Multicenter Cross-Sectional Study

Periodontitis has significant public health implications, affecting individuals' overall health, well-being, and quality of life. This study aimed to assess the risk factors associated with the extent of clinical attachment loss (CAL) in a population diagnosed with periodontitis. Six hundred and sixty-seven patients with different degrees of CAL (mild, n = 223; moderate, n = 256; and advanced, n = 188) were enrolled. Socio-demographics, lifestyle, microbiological profiles, specific immune response, obesity, and single-nucleotide polymorphism of the IL1 gene were determined. Unconditional logistic regression models were conducted to determine the factors associated with the extent of CAL. Aging, smoking, microbial factors, plaque index, and IgG2 antibodies against Aggregatibacter actinomycetemcomitans were associated with advanced CAL. IgG2 antibodies against A. actinomycetemcomitans (OR 1.50; CI 95% 1.23-1.81), plaque accumulation (OR 2.69; CI 95% 2.20-3.29), Porphyromonas gingivalis (OR 1.93; CI 95% 1.35-2.76), Tanerella forsythia (OR 1.88; CI 95%1.30-2.70), and current smoking (OR 1.94; CI 95% 1.31-2.87) were associated with advanced CAL. Gene IL polymorphisms, obesity, and stress were not associated with the extent of CAL. Aging, plaque accumulation, smoking, and having antibodies against A. actinomycetemcomitans were the most critical factors associated with advanced CAL. In contrast, obesity, stress, and gene polymorphisms were not associated with the extent of CAL.

Clinical periodontal diagnosis

Periodontal diseases include pathological conditions elicited by the presence of bacterial biofilms leading to a host response. In the diagnostic process, clinical signs such as bleeding on probing, development of periodontal pockets and gingival recessions, furcation involvement and presence of radiographic bone loss should be assessed prior to periodontal therapy, following active therapy, and during long-term supportive care. In addition, patient-reported outcomes such as increased tooth mobility, migration, and tilting should also be considered. More important to the patient, however, is the fact that assessment of signs of periodontal diseases must be followed by an appropriate treatment plan. Furthermore, it should be realized that clinical and radiographic periodontal diagnosis is based on signs which may not reflect the presence of active disease but rather represent the sequelae of a previous bacterial challenge. Hence, the aim of the present review is to provide a summary of clinical and radiographic diagnostic criteria required to classify patients with periodontal health or disease.

Compromised Teeth Preserve or Extract: A Review of the Literature

Multiple systems and associated factors have been described in the literature to assess the prognosis of teeth with periodontal disease. Nowadays there is a tendency among clinicians to consider implants as the best solution after tooth extraction, in cases of teeth with a questionable prognosis. However, the value of the natural tooth must be considered, as the proprioception of the periodontal ligament is preserved, and it adapts to stress during functional loads. We first review the literature focusing on analyzing the factors that should guide decision-making to maintain or extract a tooth with a compromised periodontium. Then, we propose a schematic diagram of prognostic indicators to reflect the main factors to consider and the survival rate that each one represents when preserving or extracting a tooth.

Evaluation of periodontitis-related tooth loss according to the new 2018 classification of periodontitis

The new 2018 classification of periodontal diseases is reported to be related to tooth loss due to periodontal disease (TLPD) during supportive periodontal therapy (SPT). However, few reports have evaluated this relationship for Asians or have analyzed the association of the new classification and TLPD by distinguishing between active periodontal therapy (APT) and SPT. In this study, we retrospectively applied the new classification to 607 Japanese periodontitis patients and examined the relationship between the new classification and annual TLPD rates per patient during the respective periods. TLPD rates were higher in patients in stage IV and/or grade C during both APT and SPT. TLPD during SPT was not associated with the presence or absence of TLPD during APT. Multivariate analysis revealed that stage IV and grade C as independent variables were significantly associated with the number of instances of TLPD not only during the total treatment period, but also during APT or SPT. Our results suggest that the new classification has a significantly strong association with TLPD during both APT and SPT, and that patients diagnosed with stage IV and/or grade C periodontitis had a higher risk of TLPD during both periods.

Association between diabetes and edentulism and their joint effects on health status in 40 low and middle-income countries

INTRODUCTION

Previous studies on the diabetes-edentulism relationship have yielded conflicting results. Therefore, the goal of this study was to investigate the association between diabetes and edentulism, and their joint effects on health status in adults from 40 low and middle-income countries (LMICs).

RESEARCH DESIGN AND METHODS

Data from the World Health Survey were used for this cross-sectional study (2002-2004). Forty countries (18 low-income and 22 middle-income countries) were included. Edentulism and diabetes were assessed using yes-no questions based on self-report. Health status was assessed in seven different domains (self-care, pain/discomfort, cognition, interpersonal activities, sleep/energy, affect, and perceived stress). The association between diabetes (exposure) and edentulism (outcome) was analyzed using multivariable logistic regression models, while their joint effects on health status were assessed using multivariable linear regression models.

RESULTS

There were 175 814 adults aged ≥18 years included in this study (mean (SD) age 38.4 (16.0) years; 49.3% men). Overall, the prevalence of edentulism was 6.0% and diabetes was 2.9%. There was a positive and significant association between diabetes and edentulism in the overall sample (OR=1.40, 95% CI 1.18 to 1.66), in low-income countries (OR=1.78, 95% CI 1.21 to 2.62) and in middle-income countries (OR=1.24, 95% CI 1.04 to 1.47). In addition, people with comorbid diabetes and edentulism had worse health status in the domains of cognition, sleep/energy, and perceived stress, compared with those with diabetes only.

CONCLUSIONS

Diabetes was positively associated with edentulism in this sample of more than 175 000 individuals living in LMICs. Providing oral care to individuals with diabetes may potentially lead to a reduction in their risk of edentulism.

Predictors of tooth loss: A machine learning approach

Introduction

Little is understood about the socioeconomic predictors of tooth loss, a condition that can negatively impact individual’s quality of life. The goal of this study is to develop a machine-learning algorithm to predict complete and incremental tooth loss among adults and to compare the predictive performance of these models.

Methods

We used data from the National Health and Nutrition Examination Survey from 2011 to 2014. We developed multiple machine-learning algorithms and assessed their predictive performances by examining the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, and positive and negative predictive values.

Results

The extreme gradient boosting trees presented the highest performance in the prediction of edentulism (AUC = 88.7%; 95%CI: 87.1, 90.2), the absence of a functional dentition (AUC = 88.3% 95%CI: 87.3,89.3) and for predicting missing any tooth (AUC = 83.2%; 95%CI, 82.0, 84.4). Although, as expected, age and routine dental care emerged as strong predictors of tooth loss, the machine learning approach identified additional predictors, including socioeconomic conditions. Indeed, the performance of models incorporating socioeconomic characteristics was better at predicting tooth loss than those relying on clinical dental indicators alone.

Conclusions

Future application of machine-learning algorithm, with longitudinal cohorts, for identification of individuals at risk for tooth loss could assist clinicians to prioritize interventions directed toward the prevention of tooth loss.

Long term comparison of the prognostic performance of PerioRisk, periodontal risk assessment, periodontal risk calculator, and staging and grading systems

BACKGROUND

Clinicians predominantly use personal judgment for risk assessment. Periodontal risk assessment tools (PRATs) provide an effective and logical system to stratify patients based on their individual treatment needs. This retrospective longitudinal study aimed to validate the association of different risk categories of four PRATs (Staging and grading; Periodontal Risk Assessment (PRA); Periodontal Risk Calculator; and PerioRisk) with periodontal related tooth loss (TLP), and to compare their prognostic performance.

METHODS

Data on medical history, smoking status, and clinical periodontal parameters were retrieved from patients who received surgical and non-surgical periodontal treatment. A comparison of the rate of TLP and non-periodontal related tooth loss (TLO) within the risk tool classes were performed by means of Kruskal-Wallis test followed by post-hoc comparison with the Bonferroni test. Both univariate and multivariate Cox Proportional hazard regression models were built to analyze the prognostic significance for each single risk assessment tool class on TLP.

RESULTS

A total of 167 patients with 4321 teeth followed up for a mean period of 26 years were assigned to four PRATs. PerioRisk class 5 had a hazard ratio of 18.43, Stage 4 had a hazard ratio of 7.99, and PRA class 3 had a hazard ratio of 6.13 compared with class/stage I. With respect to prognostic performance, PerioRisk tool demonstrated the best discrimination and model fit followed by PRA.

CONCLUSION

All PRATs displayed very good predictive capability of TLP. PerioRisk showed the best discrimination and model fit, followed by PRA.

Association, prediction, generalizability: Cross-center validity of predicting tooth loss in periodontitis patients

OBJECTIVES

To predict patients' tooth loss during supportive periodontal therapy across four German university centers.

METHODS

Tooth loss in 897 patients in four centers (Kiel (KI) n = 391; Greifswald (GW) n = 282; Heidelberg (HD) n = 175; Frankfurt/Main (F) n = 49) during supportive periodontal therapy (SPT) was assessed. Our outcome was annualized tooth loss per patient. Multivariable linear regression models were built on data of 75 % of patients from one center and used for predictions on the remaining 25 % of this center and 100 % of data from the other three centers. The prediction error was assessed as root-mean-squared-error (RMSE), i.e., the deviation of predicted from actually lost teeth per patient and year.

RESULTS

Annualized tooth loss/patient differed significantly between centers (between median 0.00 (interquartile interval: 0.00, 0.17) in GW and 0.09 (0.00, 0.19) in F, p = 0.001). Age, smoking status and number of teeth before SPT were significantly associated with tooth loss (p < 0.03). Prediction within centers showed RMSE of 0.14-0.30, and cross-center RMSE was 0.15-0.31. Predictions were more accurate in F and KI than in HD and GW, while the center on which the model was trained had a less consistent impact. No model showed useful predictive values.

CONCLUSION

While covariates were significantly associated with tooth loss in linear regression models, a clinically useful prediction was not possible with any of the models and generalizability was not given. Predictions were more accurate for certain centers.

CLINICAL RELEVANCE

Association should not be confused with predictive value: Despite significant associations of covariates with tooth loss, none of our models was useful for prediction. Usually, model accuracy was even lower when tested across centers, indicating low generalizability.

Systemic azithromycin as an adjunct to scaling and root planing in patients with stage III/IV periodontitis: 12-month results of a randomized controlled clinical trial

OBJECTIVES

To determine whether azithromycin (AZI) as an adjunct to scaling and root planing (SRP), when compared to placebo, decreases the number of sites demonstrating pocket depth (PD) ≥ 5 mm and bleeding on probing (BOP) 12 months post-treatment in stage III/IV periodontitis patients.

MATERIALS AND METHODS

In a double-blind randomized parallel-arm placebo-controlled trial, 40 stage III/IV periodontitis patients received steps 1 and 2 of periodontal treatment in two sessions within 7 days. Patients then received systemic antibiotic therapy (n = 20; AZI 500 mg/day, 3 days) or placebo (n = 20). Additional instrumentation of residual diseased sites (DS) - sites with PD ≥ 5 mm and BOP - was performed at the 3-, 6- and 9-month follow-ups. The primary outcome variable was the number of DS at the 12-month re-evaluation. Using a multivariate multilevel logistic regression model, the effects of gender, age, antibiotic therapy, presence of Porphyromonas gingivalis or Aggregatibacter actinomycetemcomitans, smoking, tooth being a molar and interdental location were evaluated.

RESULTS

The number of DS after 12 months was similar in the test (median (Me) = 4, interquartile range (IQR) = 0-6) and control (Me = 3, IQR = 1-6.5) groups. Both groups showed substantial but equivalent improvements in periodontal parameters, with no intergroup differences at initially shallow or deep sites. The logistic regression showed a lower odds ratio (OR) for the healing of DS on molars (OR = 0.29; p < 0.001) and in smokers (OR = 0.36; p = 0.048).

CONCLUSION

Stage III/IV periodontitis patients showed significant but comparable improvements in periodontal parameters and the number of residual DS at the 12-month revaluation regardless of treatment type. This may have been the result of the additional instrumentation received by patients at residual DS in both treatment groups.

CLINICAL RELEVANCE

Treatment with AZI + SRP provided no additional benefits after 12 months in terms of periodontal parameters or the number of persisting sites with PD ≥ 5 mm + BOP as compared to SRP plus placebo.

TRIAL REGISTRATION

EUDRA-CT: 2015-004306-42; https://www.clinicaltrialsregister.eu/ctr-search/trial/2015-004306-42/SI , registered 17. 12. 2015.

Tooth loss in periodontally compromised patients: Retrospective long-term results 10 years after active periodontal therapy. Tooth-related outcomes

BACKGROUND

Estimating prognosis of periodontally affected teeth at the beginning of supportive periodontal care (SPC) is an important component for further treatment planning. This study aimed to evaluate tooth loss (TL) during 10 years of SPC in periodontally compromised patients and to identify tooth-related factors affecting TL.

METHODS

Patients were re-examined 120 ± 12 months after accomplishment of active periodontal therapy. TL was defined as primary outcome variable and tooth-related factors (abutment status, furcation involvement [FI], tooth mobility, mean periodontal probing depth [PD], and clinical attachment level [CAL] at beginning of SPC, and initial bone loss [BL]) were estimated based on an adjusted regression analyses model.

RESULTS

Ninety-seven patients (51 females and 46 males; mean age, 65.3 ± 11 years) lost 119 of 2,323 teeth (overall TL [OTL]: 0.12 teeth/patient/y) during 10 years of SPC. Forty of these teeth (33.6%) were lost for periodontal reasons (TLP; 0.04 teeth/patient/y). Significantly more teeth were lost due to other reasons (P <0.0001). TLP (OTL) only occurred in 5.9% (14.7%) of all teeth, when BL was at least 80%. Use as abutment tooth, FI degree III, tooth mobility degrees I and II, mean PD, and CAL positively correlated with OTL (P <0.05). For TLP, FI and tooth mobility degree III as well as mean CAL were identified as tooth-related prognostic factors (P <0.05).

CONCLUSIONS

During 10 years of SPC, most of the teeth (93.4%) of periodontally compromised patients were retained, showing the positive effect of a well-established treatment concept. Well-known tooth-related prognostic factors were confirmed.

The influence of the interaction between staging, grading and extent on tooth loss due to periodontitis

AIM

To assess the ability of two-way interactions between baseline stage, grade and extent to predict tooth loss due to periodontitis (TLP) over a long-term follow-up period.

MATERIALS AND METHODS

Patients treated for periodontal disease with a complete medical history, baseline periodontal chart, full mouth radiographs and a minimum of ≥10 years follow-up were recruited. Supportive periodontal therapy (SPT) visits were recorded during the entire follow-up period. Patients were categorized according to their stage, grade and extent. The absolute survival at 10-, 20-, and 30-year follow-up was calculated for TLP. Kaplan-Meier survival curves were plotted at the tooth-level and multilevel Cox regression frailty models were constructed in order to assess the association among predictive variables and TLP by taking into account the hierarchical patient-teeth structure.

RESULTS

442 patients (11,125 teeth) with a mean follow-up of 23 years met the inclusion criteria and were included in this study. The most prevalent diagnosis at baseline was stage III grade B (30.3%), followed by stage II grade B (23.5%). Among the parameters analysed, stage and grade were found to be the best predictors of TLP. Statistically significant differences were observed for extent only in patients with severe disease (stage IV or grade C). The multilevel Cox regression analysis demonstrated that patients with higher concomitant baseline staging and grading developed greater TLP over the follow-up period.

CONCLUSIONS

Higher concomitant staging and grading corresponded to greater risk for TLP and generalized extent only became a significant predictor in patients with stage IV or grade C disease.

Endpoints of active periodontal therapy

Aim

Position paper on endpoints of active periodontal therapy for designing treatment guidelines. The question was as follows: How are, for an individual patient, commonly applied periodontal probing measures—recorded after active periodontal therapy—related to (a) stability of clinical attachment level, (b) tooth survival, (c) need for re‐treatment or (d) oral health‐related quality of life.

Methods

A literature search was conducted in Ovid MEDLINE(R) and Epub Ahead of Print, In‐Process & Other Non‐Indexed Citations and Daily <1946 to 07 June 2019>.

Results

A total of 94 papers were retrieved. From the literature search, it was found that periodontitis patients with a low proportion of deep residual pockets after active periodontal therapy are more likely to have stability of clinical attachment level over a follow‐up time of ≥1 year. Other supporting literature confirms this finding and additionally reports, at the patient level, that probing pocket depths ≥6 mm and bleeding on probing scores ≥30% are risks for tooth loss. There is lack of evidence that periodontal probing measures after completion of active periodontal treatment are tangible to the patient.

Conclusions

Based on literature and biological plausibility, it is reasonable to state that periodontitis patients with a low proportion of residual periodontal pockets and little inflammation are more likely to have stability of clinical attachment levels and less tooth loss over time. Guidelines for periodontal therapy should take into consideration (a) long‐term tangible patient outcomes, (b) that shallow pockets (≤4 mm) without bleeding on probing in patients with <30% bleeding sites are the best guarantee for the patient for stability of his/her periodontal attachment, (c) patient heterogeneity and patient changes in immune response over time, and (d) that treatment strategies include lifestyle changes of the patient. Long‐term large population‐based and practice‐based studies on the efficacy of periodontal therapies including both clinical and patient‐reported outcomes (PROs) need to be initiated, which include the understanding that periodontitis is a complex disease with variation of inflammatory responses due to environment, (epi)genetics, lifestyle and ageing. Involving people living with periodontitis as co‐researchers in the design of these studies would also help to improve their relevance.

Association of probable bruxism with periodontal status: A cross-sectional study in patients seeking periodontal care

OBJECTIVE

The goals of this study were to investigate the prevalence of probable bruxism in a group of patients seeking a periodontal care and the association between probable bruxism and periodontal status.

BACKGROUND

The results of previous studies evaluating the relationship between bruxism and periodontitis are contradictory. In addition, the relationship between probable bruxism and periodontitis in adults has not been evaluated, yet. Therefore, new studies are required in this field to clarify the relationship between bruxism and periodontitis.

METHODS

Patients seeking periodontal care at a university periodontology unit were considered in this study. Their periodontal diagnosis, number of missing teeth, presence of probable bruxism, and sociodemographic characteristics were recorded. The periodontal status of each study participant was defined according to the latest consensus of the American Association of Periodontology/European Federation of Periodontology, and the 2018 consensus report on the assessment of bruxism was used to evaluate probable bruxism. A multiple logistic regression analysis was performed to determine the effects of bruxism on periodontitis.

RESULTS

A total of 541 patients (289 females and 252 males, mean age 42.1 ± 15.9 years) were enrolled in the present study. The prevalence of probable bruxism was 36.6%. Additionally, 40.9% of the study population was diagnosed with periodontitis. The probable bruxers were older (P < 0.001), had a higher number of missing teeth (P < 0.001), and had poor periodontal status (P < 0.001). The multivariate logistic regression analysis suggested that probable bruxism was associated with periodontitis, after adjusting relevant factors (odds ratio: 2.243, 95% CI: 1.465-3.434, P < 0.001).

CONCLUSIONS

It was observed that the prevalence of probable bruxism was 36.6% and probable bruxers showed higher odds of periodontitis. Future studies with prospective randomized design should be conducted to confirm these results among a larger study population.

The combined use of salivary biomarkers and clinical parameters to predict the outcome of scaling and root planing: A cohort study

AIM

To explore the application of the combined use of baseline salivary biomarkers and clinical parameters in predicting the outcome of scaling and root planing (SRP).

MATERIALS AND METHODS

Forty patients with advanced periodontitis were included. Baseline saliva samples were analysed for interleukin-1β (IL-1β), matrix metalloproteinase-8 and the loads of Porphyromonas gingivalis, Prevotella intermedia, Aggregatibacter actinomycetemcomitans and Tannerella forsythia. After SRP, pocket closure and further attachment loss at 6 months post-treatment were chosen as outcome variables. Models to predict the outcomes were established by generalized estimating equations.

RESULTS

The combined use of baseline clinical attachment level (CAL), site location and IL-1β (area under the curve [AUC] = 0.764) better predicted pocket closure than probing depth (AUC = 0.672), CAL (AUC = 0.679), site location (AUC = 0.654) or IL-1β (AUC = 0.579) alone. The combination of site location, tooth loss, percentage of deep pockets, detection of A. actinomycetemcomitans and T. forsythia load (AUC = 0.842) better predicted further clinical attachment loss than site location (AUC = 0.715), tooth loss (AUC = 0.530), percentage of deep pockets (AUC = 0.659) or T. forsythia load (AUC = 0.647) alone.

CONCLUSION

The combination of baseline salivary biomarkers and clinical parameters better predicted SRP outcomes than each alone. The current study indicates the possible usefulness of salivary biomarkers in addition to tooth-related parameters in predicting SRP outcomes.

Influence of psychological stress on non-surgical periodontal treatment outcomes in patients with severe chronic periodontitis

BACKGROUND

The aim of this study was to evaluate the influence of psychological stress on non-surgical periodontal treatment (SRP) outcomes in patients with severe chronic periodontitis (stage 3/4 generalized periodontitis) at 6 months in the French population.

METHODS

Patients diagnosed with severe generalized chronic periodontitis (periodontitis stage 3/4) were included in this study. At baseline, psychological status was evaluated by self-administered questionnaire (Depression Anxiety Stress Scale 42 [DASS-42] and Toulouse coping scale [TCS]). Plasma levels of cortisol and chromogranin-A were determined. Patients were then managed by oral hygiene instructions, scaling and root planing of sites with PD >3 mm and followed at 3 and 6 months. Quantitative and qualitative variables were described and interactions were determined by linear and logistic regressions.

RESULTS

Seventy-one patients were included in this study and 54 were followed up to 6 months. An average probing depth (PD) reduction of 0.73 ± 0.11 mm and decrease of diseased sites (PD >3 mm) were measured at 6 months illustrating SRP efficacy. Multivariable analysis showed that increased DASS-stress score was associated to worsened SRP outcomes in terms of bleeding on probing (BOP) (OR = 1.02, P <0.05) and mean PD (P <0.05) reduction. An increase of DASS-depression score negatively influenced PD >5 mm (OR = 1.06, P <0.05), PD >7 mm (OR = 1.17, P <0.01), CAL >5 mm (OR = 1.03, P <0.05), and CAL >7 mm (OR = 1.07, P <0.05) reduction. Negative coping strategies were also associated with worsened SRP outcomes.

CONCLUSIONS

Patients with increased stress, anxiety, and depression scores as well as those exhibiting negative coping strategies demonstrate worsened SRP outcomes. DASS-42 and TCS were useful to determine psychological status and their use could be incorporated to assess treatment prognosis.

Disequilibrium of Plasma Protease/Anti-Protease Due to Severe Periodontal Disease Contributes to Human Subarachnoid Hemorrhage

BACKGROUND

The pathophysiology of subarachnoid hemorrhages (SAHs) due to ruptured intracranial aneurysms (IAs) remains unclear. Although a relationship between SAHs and periodontal disease (PD) has been suggested, the mechanism requires clarification.

OBJECTIVE

To evaluate the relationship between PD and SAHs and to identify periodontal pathogens associated with SAHs.

METHODS

This prospective study included consecutive patients with ruptured (n = 11) and unruptured (n = 14) IAs and healthy controls (n = 8). The plasma and plaque subgingival bacterial deoxyribonucleic acid (DNA) levels in PD were evaluated by a dentist using the Community Periodontal Index of Treatment Needs (CPITN). Plasma levels of matrix metalloproteinase (MMP-9), tissue inhibitors of matrix metalloproteinase (TIMP2), and procollagen I were analyzed.

RESULTS

Patients with ruptured IAs, had significantly higher CPITN scores than the controls, suggesting that ruptured IAs were associated with severe PD. Although no rupture-specific bacteria were identified, the positive rate of plaque subgingival bacterial DNA was significantly higher in patients with severe PD than in those without severe PD. Multivariate logistic regression analysis indicated that bleeding on probing (BOP) was associated with ruptured IAs (odds ratio, 1.10; 95% confidence interval 1.04–1.20; P = .0001). BOP was positively associated with plasma MMP-9 levels and a disequilibrium in the MMP-9/TIMP2 ratio. BOP was negatively correlated with plasma procollagen I levels (P &lt; .05, for each). This suggested that local inflammation with severe PD might have systemic effects and lead to ruptured IAs.

CONCLUSION

Disequilibrium of plasma protease/anti-protease associated with a high BOP rate in severe PD may be attributable to IA rupture.

Tooth loss in Periodontitis: how valuable are the predictors?

Data sources Three electronic databases including Medline, Embase and Cochrane Central were searched for finding the relevant literature. Cross-referencing, reviews and editorials were also used to identify original studies. Unpublished studies/ Grey literature were excluded. Study selection Both observational and interventional studies were included for the review and only the studies with a minimum of 3 year follow-up period and which have reported the association between the predictor and tooth loss via odds/risk ratio or their derivatives were selected. Data extraction and synthesis Data like study characteristics, assessed predictors (risk factors or indicators), tooth loss per year as well as the association estimated (as OR, RR or any derivative) were extracted from the included studies. Meta-analysis and meta-regression analysis was carried to find the impact of predictors on the tooth loss.Results After screening, 20 studies were finally included in the study with a total of 15,422 participants. The mean age of the patient was 44.5 (range: 31-54 years) while the mean follow-up period was 12 years (range: 4-20 years). Predictors were pooled as patient level and tooth level predictors. Strong association was found for most of the patient level (age, compliance, diabetes, IL-1 polymorphism, diabetes and smoking) as well as tooth level predictors (Bone loss, pocket depth, tooth type, furcation involvement and mobility) except for sex (patient level predictor) and endodontic involvement (tooth level predictor).Conclusions The meta-analysis depicted in the review exhibited strong association for most of the predictors which can be used by the dentists for treatment planning. Overall tooth level factors have stronger associations than patient level factors.

Risk factors for recurrence of periodontal disease in patients in maintenance care in a private practice

AIM

To assess periodontal and dental conditions in individuals in maintenance care after periodontal therapy in private practice, and to identify risk factors for recurrence of disease and tooth loss.

MATERIALS AND METHODS

One hundred patients attending a routine recall visit were included. All had been treated for periodontal disease and were in maintenance since ≥ 2 years.

RESULTS

Examinations took place 18.0 (±8.71) years after the start of periodontal therapy. A total of 40.1 ± 22.5 recall visits were registered during this time. 91% of the participants had an initial diagnosis of chronic, 9% of aggressive periodontitis. The average participant was 46 years old and had 26 teeth. 283 of 2,549 initially present teeth were lost, half of them being molars. Periodontal and endo-periodontal complications accounted for only 16 lost teeth. The prevalence of all probing depth (PD) categories decreased significantly. The longer the time, the more frequent the recall visits, and the more was spent during the maintenance phase, the greater was the reduction. Multivariate analysis rendered BMI and smoking as factors influencing number of sites with PD ≥ 4 mm and bleeding on probing.

CONCLUSION

Tooth loss and periodontal tissue damage can be contained over prolonged periods if periodontal disease is treated and patients attend regular maintenance care.

In the Dental Implant Era, Why Do We Still Bother Saving Teeth?

Teeth are vital sensory organs that contribute to our daily activities of living. Unfortunately, teeth can be lost for several reasons including trauma, caries, and periodontal disease. Although dental trauma injuries and caries are more frequently encountered in a younger population, tooth loss because of periodontal disease occurs in the older population. In the dental implant era, the trend sometimes seems to be to extract compromised teeth and replace them with dental implants. However, the long-term prognosis of teeth might not be comparable with the prognosis of dental implants. Complications, failures, and diseases such as peri-implantitis are not uncommon, and, despite popular belief, implants are not 99% successful. Other treatment options that aim to save compromised or diseased teeth such as endodontic treatment, periodontal treatment, intentional replantation, and autotransplantation should be considered on an individual basis. These treatments have competing success rates to dental implants but, more importantly, retain the natural tooth in the dentition for a longer period of time. These options are important to discuss in detail during treatment planning with patients in order to clarify any misconceptions about teeth and dental implants. In the event a tooth does have to be extracted, procedures such as decoronation and orthodontic extrusion might be useful to preserve hard and soft tissues for future dental implant placement. Regardless of the treatment modality, it is critical that strict maintenance and follow-up protocols are implemented and that treatment planning is ethically responsible and evidence based.

Fine-tuning multilevel modeling of risk factors associated with nonsurgical periodontal treatment outcome

This retrospective study evaluated the influence of known risk factors on nonsurgical periodontal treatment (NSPT) response using a pocket depth fine-tuning multilevel linear model (MLM). Overall, 37 patients (24 males and 13 females) with moderate-to-severe chronic periodontitis underwent NSPT. Follow-up visits at 3, 6, and 12 months included measurements of several clinical periodontal parameters. Data were sourced from a previously reported database. In a total of 1416 initially affected sites (baseline PD ≥ 4 mm) on 536 teeth, probing depth (PD) and clinical attachment loss (CAL) reductions after NSPT were evaluated against known risk factors at 3 hierarchical levels (patient, tooth, and site). For each post-treatment follow-up, the variance component models fitted to evaluate the 3-level variance of PD and CAL decrease revealed that all levels contributed significantly to the overall variance (p < 0.001). Patients who underwent NSPT and were continually monitored had curative results. All 3 hierarchical levels included risk factors influencing the degree of PD and CAL reduction. Specifically, the type of tooth, surfaces involved, and tooth mobility site-level risk factors had the strongest impact on these reductions and were highly relevant for the success of NSPT.

Evaluating Modeling and Validation Strategies for Tooth Loss

Prediction models learn patterns from available data (training) and are then validated on new data (testing). Prediction modeling is increasingly common in dental research. We aimed to evaluate how different model development and validation steps affect the predictive performance of tooth loss prediction models of patients with periodontitis. Two independent cohorts (627 patients, 11,651 teeth) were followed over a mean ± SD 18.2 ± 5.6 y (Kiel cohort) and 6.6 ± 2.9 y (Greifswald cohort). Tooth loss and 10 patient- and tooth-level predictors were recorded. The impact of different model development and validation steps was evaluated: 1) model complexity (logistic regression, recursive partitioning, random forest, extreme gradient boosting), 2) sample size (full data set or 10%, 25%, or 75% of cases dropped at random), 3) prediction periods (maximum 10, 15, or 20 y or uncensored), and 4) validation schemes (internal or external by centers/time). Tooth loss was generally a rare event (880 teeth were lost). All models showed limited sensitivity but high specificity. Patients' age and tooth loss at baseline as well as probing pocket depths showed high variable importance. More complex models (random forest, extreme gradient boosting) had no consistent advantages over simpler ones (logistic regression, recursive partitioning). Internal validation (in sample) overestimated the predictive power (area under the curve up to 0.90), while external validation (out of sample) found lower areas under the curve (range 0.62 to 0.82). Reducing the sample size decreased the predictive power, particularly for more complex models. Censoring the prediction period had only limited impact. When the model was trained in one period and tested in another, model outcomes were similar to the base case, indicating temporal validation as a valid option. No model showed higher accuracy than the no-information rate. In conclusion, none of the developed models would be useful in a clinical setting, despite high accuracy. During modeling, rigorous development and external validation should be applied and reported accordingly.

Predictors for tooth loss in periodontitis patients: Systematic review and meta-analysis

AIM

A range of predictors for tooth loss in periodontitis patients have been reported. We performed a systematic review and meta-analysis to assess the consistency and magnitude of any association between a total of 12 predictors and tooth loss.

MATERIALS AND METHODS

Medline/Embase/Central were searched for longitudinal studies investigating the association between predictors and tooth loss in periodontitis patients. Random-effects meta-analysis was performed, and study quality assessed.

RESULTS

Twenty studies (15,422 patients, mean follow-up: 12 years) were included. The mean annual tooth loss/patient was 0.12 (min./max: 0.01/0.36). Older patients (n = 8 studies; OR: 1.05, 95% CI: 1.03-1.08/year), non-compliant ones (n = 11; 1.51, 1.06-2.16), diabetics (n = 7; 1.80, 1.26-2.57), those with IL-1-polymorphism (n = 3; 1.80; 1.29-2.52) and smokers (n = 15; 1.98, 1.58-2.48) had a significantly higher risk of tooth loss. Teeth with bone loss (n = 3; 1.04, 1.03-1.05/%), high probing pocket depth (n = 6; 3.19, 1.70-5.98), mobility (n = 4; 3.71, 1.65-8.38) and molars (n = 4; 4.22, 2.12-8.39), especially with furcation involvement (n = 5; 2.68, 1.75-4.08) also showed higher risks. Gender (n = 16; 0.95, 0.86-1.05) and endodontic affection (n = 3; 3.62, 0.99-13.2) were not significantly associated with tooth loss.

CONCLUSIONS

Older, non-compliant, smoking or diabetic patients, and teeth with bone loss, high probing pocket depth, mobility, or molars, especially with furcation involvement showed higher risks of tooth loss.

Tooth Loss-associated Cognitive Impairment in the Elderly: A Community-based Study in Japan

Objective Dementia is a major cause of disruption for a healthy life expectancy in Japan. It has been suggested that the number of teeth is a modifiable risk factor for cognitive impairment and dementia. We therefore examined the possible association between the cognitive function and the number of natural and artificial teeth in community-dwelling Japanese elderly individuals. Methods Among the participants in our prospective, community-based study, 210 elderly individuals (103 men and 107 women; 78.1±4.9 years; mean age±standard deviation) underwent both dental examinations and a Mini-Mental State Examination (MMSE), as well as various medical checkups, in 2016 and 2017. Results The number of natural teeth was significantly associated with an individual's MMSE score. The percentage of cognitively normal subjects (MMSE scores: 27-30) decreased significantly with a decrease in the number of natural teeth. Among the MMSE items, the calculation ability was significantly and independently associated with the number of natural teeth. Regression was calculated as the predicted score of MMSE =21+0.3× (years of schooling) +0.1× (number of natural teeth). Among individuals with 19 or fewer natural teeth, those who had a total of 20 teeth or more, including both natural and artificial teeth, had significantly higher MMSE scores than those who had 19 or fewer natural and artificial teeth combined. Conclusion The number of natural teeth was significantly associated with the cognitive function, especially the calculation ability, and the use of artificial teeth was associated with the preservation of the cognitive function in community-dwelling elderly individuals.

Detection of Salivary miRNAs Reflecting Chronic Periodontitis: A Pilot Study

The purpose of this cross-sectional pilot study was to find salivary microRNAs (miRNAs) reflecting periodontal condition in chronic periodontitis. One hundred and twenty chronic periodontitis patients (mean age, 68.4 years) participated in the study, from whom unstimulated whole saliva was collected. A multiphase study was conducted to explore salivary miRNAs as biomarkers of periodontitis. At first, a polymerase chain reaction (PCR) array was performed to compare salivary miRNAs profiles in no and mild (no/mild) and severe periodontitis patients. Next, the relative expression of salivary miRNAs on individual samples was assessed by real-time reverse transcription-PCR. The numbers (%) of patients were 26 (21.6%, no/mild), 58 (48.3%, moderate) and 36 (30.0%, severe), respectively. Among 84 miRNAs, only the relative expression of hsa-miR-381-3p in the severe periodontitis group was significantly higher than that of the no/mild periodontitis group (p < 0.05). Among the 120 patients, there was also a significant correlation between the relative expression of hsa-miR-381-3p and the mean probing pocket depth (PPD) (r = 0.181, p < 0.05). Salivary hsa-miR-381-3p was correlated with periodontitis condition in chronic periodontitis patients.

The burden of Diabetes, Its Oral Complications and Their Prevention and Management

BACKGROUND

Diabetes mellitus (DM), chronic disease, is a public health problem that affects 8.5% adult population worldwide. The number of adults with DM has risen sharply from 108 million in 1980 to 422 million in 2014. In 2012, 1.5 million individuals died because of DM and an additional 2.2 million deaths occurred because of high blood glucose level resulting in cardiovascular and other systemic diseases. DM brings huge economic loss to patients, their families, and healthcare systems. Globally, the cost of DM was US$1•31 trillion in 2015.

AIM

This review article utilised the prevalence data of diabetes mellitus from the World Health Organization and International Diabetes Federation to provide a comprehensive picture of the disease in different parts of the world.

METHODS

Electronic databases such as Google Scholar, Medline via PubMed, Scopus, and Web of Science were used to search the literature. The library resources of Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia were used to retrieve studies on the topics of the present review.

RESULTS

Systemic complications of DM include heart attack, kidney disease, limb loss, blindness, and peripheral nerve damage. More than 90% of diabetic patients were found to have oral manifestations. It is known that DM severely damages oral tissues causing periodontal disease, tooth loss, xerostomia, caries, burning mouth disorder, taste and salivary gland dysfunction, delayed wound healing, lichen planus, geographic tongue, and candidiasis. The evidence is mounting about a strong bidirectional relationship between DM and periodontal disease. Unfortunately, many diabetic patients are unaware of the association between DM and oral health, and only a small percentage of them visit the dentist for routine dental check-ups. Changes in lifestyles (control of blood glucose levels and self-care practices), regular dental check-ups with emphasis on periodontal assessment, and reinforcement of oral health instructions can effectively prevent oral complications of DM. Scaling and root planning are effective in improving glycemic control among diabetic patients.

CONCLUSION

Dental professionals should be part of the multidisciplinary team that helps individuals with diabetes.

Evaluation of the association between the number of natural teeth and anemia among Korean adults using nationally representative data

BACKGROUND

Anemia as a chronic disease is defined as anemia occurring in chronic infections with inflammatory conditions. The purpose of this study is to assess the association between the number of natural teeth and anemia using nationally representative data.

METHODS

This study involved a cross-sectional analysis using data from the Korean National Health and Nutrition Examination Survey from 2010 to 2012. A total of 16,875 respondents aged > 19 years without missing values were included in this study. The association between the number of natural teeth and anemia was evaluated by multivariable logistic regression analyses after adjusting for age, sex, body mass index, smoking habits, drinking habits, exercise levels, income levels, education levels, vitamin D levels, diabetes, toothbrushing frequency, energy intake, and percentage of fat in total energy intake among Korean adults.

RESULTS

There was a significant decrease in prevalence of anemia and a significant increase in hemoglobin levels in participants with more natural teeth (P < 0.05). Adjusted odds ratios and their 95% confidence intervals for anemia in participants with numbers of natural teeth of < 15, 15 to 19, 20 to 24, or 24 to 28 were 1 (reference), 0.856(0.591 to 1.24), 0.659(0.5 to 0.868), and 0.607(0.463 to 0.797), respectively, with adjustment for confounding factors (P < 0.05).

CONCLUSION

The number of natural teeth is negatively associated with anemia in Korean adults, and the number of natural teeth may be considered an independent risk indicator of anemia.

Introduction of a prediction model to assigning periodontal prognosis based on survival time

AIMS

To develop a prediction model for tooth loss due to periodontal disease (TLPD) in patients following periodontal maintenance (PM), and assess its performance using a multicentre approach.

MATERIAL AND METHODS

A multilevel analysis of eleven predictors of TLPD in 500 patients following PM was carried out to calculate the probability of TLPD. This algorithm was applied to three different TLPD samples (369 teeth) gathered retrospectively by nine periodontist, associating several intervals of probability with the corresponding survival time, based on significant differences in the mean survival time. The reproducibility of these associations was assessed in each sample (One-way ANOVA and pairwise comparison with Bonferroni corrections).

RESULTS

The model presented high specificity and moderate sensitivity, with optimal calibration and discrimination measurements. Seven intervals of probability were associated with seven survival time and these associations contained close to 80% of the cases: the probability predicted the survival time at this percentage. The model performed well in the three samples, as the mean survival time of each association were significantly different within each sample, while no significant differences between the samples were found in pairwise comparisons of means.

CONCLUSIONS

This model might be useful for predicting survival time in different TLPD samples.

A comprehensive approach to assigning periodontal prognosis

AIM

The purpose of this retrospective case series study was to evaluate the usefulness and performance of a comprehensive approach to assigning periodontal prognosis by assessing the risk of tooth loss due to periodontal disease (TLPD) and estimate the survival time (ST) of periodontally compromised teeth (PCT).

MATERIAL AND METHODS

The Long-Term Outcome (LTO) index was utilized to assess the risk of TLPD, at baseline, in 100 patients following periodontal maintenance for a mean 24.7 year (±2.4). A TLPD prediction model was utilized to assign ST to PCT. The performance of the TLPD prediction based on both parameters was assessed.

RESULTS

The mean TLPD rate increased as the LTO index increased (Kruskal-Wallis p < .001). The percentage of TLPD increased as the ST decreased, with significantly differences between the LTO categories <4 and ≥4 for all ST intervals (Mann-Whitney p < .001 to p .021). Only 21% of PCT were lost. This percentage was 58% for teeth assigned the shortest ST and increased to 71% and 88% for these teeth in LTO ≥4 patients.

CONCLUSIONS

This approach might be useful to predict TLPD in patients with an initial higher risk of TLPD while it was not useful in patients with lower risk of TLPD.

Predictors of long-term outcomes in patients undergoing periodontal maintenance

AIM

This retrospective study aimed to characterize the baseline status of patients following periodontal maintenance, analysing the association between the long-term outcome of these patients, smoking, bruxism, and the main clinical and radiographic variables.

MATERIAL AND METHODS

A sample of 174 patients with moderate to severe periodontitis was refined into homogeneous subsamples according to smoking and bruxism and the rate of tooth loss due to periodontal disease (TLPD): 0, 1-2, and >2 teeth. The association and the distribution (χ² test) of the variables within the subsamples were analysed.

RESULTS

Smoking and bruxism were significantly associated with higher TLPD rates. Vertical and circumferential bone defects (p < .0001), and abfractions (p < .0001) were associated with bruxism and particularly with bruxism and TLPD >2. Furcation defects (p = .0002), fewer radio-opaque subgingival calculus (χ² p < .0001), a lower mean Gingival index (χ² p = .027), and increased mean recessions >1.5 mm (χ² p = .0026) were associated with smoking and higher TLPD rates. The mean baseline mobility, abfractions, and recessions characterized two basic types of TLPD.

CONCLUSIONS

Smoking, bruxism, and routine clinical and radiological parameters can be used to characterize the baseline status of patients with worse outcomes.

Association between tooth loss and cognitive decline: A 13-year longitudinal study of Chinese older adults

OBJECTIVES

To examine the association between the number of teeth remaining and cognitive decline among Chinese older adults over a 13-year period.

DESIGN

A large national longitudinal survey of Chinese older adults.

SETTING

The Chinese Longitudinal Healthy Longevity Survey (CLHLS) (1998-2011).

PARTICIPANTS

A total of 8,153 eligible participants aged 60+ interviewed in up to six waves.

MEASUREMENTS

Cognitive function and teeth number were measured at each interview. Cognitive function was measured by the Mini-Mental Status Examination (MMSE). Number of natural teeth was self-reported. Individuals with severe cognitive impairment were excluded. Covariates included demographic characteristics, adult socioeconomic status characteristics, childhood socioeconomic status, health conditions, and health behaviors. Linear mixed models were applied in the analysis.

RESULTS

The mean teeth number at baseline was 17.5(SD = 0.1), and the mean of baseline cognitive function was 27.3(SD = 0.0). Cognitive function declined over time (β = -0.19, P < .001) after controlling covariates. But, regardless of time, more teeth were associated with better cognitive function (β = 0.01, P < .001). The interaction of teeth number and time was significant (β = 0.01, P < .001), suggesting that the participants who had more teeth showed a slower pace of cognitive decline over time than those with fewer teeth after controlling for other covariates.

CONCLUSION

This study showed that tooth loss was associated with cognitive decline among Chinese older adults. Further studies are needed to examine the linkages between cognitive decline and oral health status using clinical examination data.