Periodontitis and incidence of cerebrovascular disease in men.

OBJECTIVE: To identify associations between periodontitis and incidence of cerebrovascular disease. METHODS: We analyzed data of 1,137 dentate men in the Veterans Affairs Normative Aging and Dental Longitudinal Study who were followed with triennial medical/dental exams for up to 34 years (mean, 24 years). We evaluated incidence of cerebrovascular events consistent with stroke or transient ischemic attack in relation to mean radiographic alveolar bone loss (a measure of periodontitis history) and cumulative periodontal probing depth (a measure of current periodontal inflammation). Cox proportional hazards models were fit controlling for age, baseline socioeconomic status, and time-varying effects of established cardiovascular risk factors. RESULTS: Eighty incident cases of cerebrovascular disease occurred from 27,506 person-years. Periodontal bone loss was significantly associated with an increased hazard rate (HR) of cerebrovascular disease (HR, 3.52; 95% confidence interval [CI], 1.59-7.81 comparing highest to lowest bone loss category; p for trend, <0.001). There was a stronger effect among men aged <65 years (HR, 5.81; 95% CI, 1.63-20.7) as compared with men aged > or =65 years (HR, 2.39; 95% CI, 0.91-6.25). Periodontal probing depth was not associated with a significantly increased rate of cerebrovascular disease in the combined or age-stratified analyses. INTERPRETATION: These results support an association between history of periodontitis-but not current periodontal inflammation-and incidence of cerebrovascular disease in men, independent of established cardiovascular risk factors, particularly among men aged <65 years.

Three-dimensional reconstruction of fracture callus morphogenesis.

Rat and mouse femur and tibia fracture calluses were collected over various time increments of healing. Serial sections were produced at spatial segments across the fracture callus. Standard histological methods and in situ hybridization to col1a1 and col2a1 mRNAs were used to define areas of cartilage and bone formation as well as tissue areas undergoing remodeling. Computer-assisted reconstructions of histological sections were used to generate three-dimensional images of the spatial morphogenesis of the fracture calluses. Endochondral bone formation occurred in an asymmetrical manner in both the femur and tibia, with cartilage tissues seen primarily proximal or distal to the fractures in the respective calluses of these bones. Remodeling of the calcified cartilage proceeded from the edges of the callus inward toward the fracture producing an inner-supporting trabecular structure over which a thin outer cortical shell forms. These data suggest that the specific developmental mechanisms that control the asymmetrical pattern of endochondral bone formation in fracture healing recapitulated the original asymmetry of development of a given bone because femur and tibia grow predominantly from their respective distal and proximal physis. These data further show that remodeling of the calcified cartilage produces a trabecular bone structure unique to fracture healing that provides the rapid regain in weight-bearing capacity to the injured bone.

Risk of tooth loss after cigarette smoking cessation.

INTRODUCTION: Little is known about the effect of cigarette smoking cessation on risk of tooth loss. We examined how risk of tooth loss changed with longer periods of smoking abstinence in a prospective study of oral health in men. METHODS: Research subjects were 789 men who participated in the Veterans Administration Dental Longitudinal Study from 1968 to 2004. Tooth status and smoking status were determined at examinations performed every 3 years, for a maximum follow-up time of 35 years. Risk of tooth loss subsequent to smoking cessation was assessed sequentially at 1-year intervals with multivariate proportional hazards regression models. Men who never smoked cigarettes, cigars, or pipes formed the reference group. Hazard ratios were adjusted for age, education, total pack-years of cigarette exposure, frequency of brushing, and use of floss. RESULTS: The hazard ratio for tooth loss was 2.1 (95% confidence interval [CI], 1.5-3.1) among men who smoked cigarettes during all or part of follow-up. Risk of tooth loss among men who quit smoking declined as time after smoking cessation increased, from 2.0 (95% CI, 1.4-2.9) after 1 year of abstinence to 1.0 (95% CI, 0.5-2.2) after 15 years of abstinence. The risk remained significantly elevated for the first 9 years of abstinence but eventually dropped to the level of men who never smoked after 13 or more years. CONCLUSION: These results indicate that smoking cessation is beneficial for tooth retention, but long-term abstinence is required to reduce the risk to the level of people who have never smoked.

Osteoporosis and the risk of tooth loss.

Osteoporosis and osteopenia may influence periodontal disease and tooth loss. Although many studies suggest that in elderly men and women, maintenance of normal bone mineral density is associated with improved tooth retention, the evidence is still inconclusive. Hormone replacement therapy and calcium and vitamin D supplements that are used to prevent or treat osteoporosis appear to have beneficial effects on tooth retention as well. Future prospective studies, including randomized clinical trials, are needed to confirm these findings.

Vitamin D receptor alleles, periodontal disease progression, and tooth loss in the VA dental longitudinal study.

BACKGROUND: The relationship between the vitamin D receptor (VDR) genotype and periodontal disease is not known. This study compared periodontal disease progression among polymorphisms of 2 VDR genes in men in the VA Dental Longitudinal Study. METHODS: Subjects were 125 medically healthy, middle-aged men who had serial oral examinations over a mean 23-year period. Probing depth, gingival bleeding on probing, clinical attachment loss (CAL), and alveolar bone loss (ABL) from radiographs were measured at each examination. Progression of periodontal disease was defined as the percentage of teeth per decade that increased ABL by > or = 40%, and the percentage of teeth per decade that developed CAL > or = 5 mm. ApaI and TaqI polymorphisms were determined from buffy coat cells following polymerase chain reaction (PCR) amplification. Mean changes in oral status were adjusted for baseline values of smoking status, number of teeth present, and periodontal status by analysis of covariance. RESULTS: Genotype distributions were 41 AA, 58 Aa, 26 aa; and 53 TT, 46 Tt, 26 tt. The AA genotype showed the highest rates of progression of ABL (5 +/- 1% versus 1 +/- 1% and 2 +/- 1% teeth in Aa and aa, respectively; P = 0.03), CAL (37 +/- 4% versus 17 +/- 4% and 27 +/- 6% teeth; P = 0.004), and tooth loss (2 +/- 0.3 versus 1 +/- 0.3 and 1 +/- 0.4 teeth; P = 0.04). When genotype combinations were examined, progression of ABL, CAL, and tooth loss was highest in the AATT and AATt genotypes. CONCLUSIONS: The ApaI polymorphism of the VDR gene is associated with oral bone loss, clinical attachment loss, and tooth loss in older men. Analysis of the VDR alleles may prove useful for predicting periodontal disease.

Predictors of tooth loss in two US adult populations.

OBJECTIVES: This study determines tooth loss rate over a 10-year period and identifies predictors of tooth loss in two separate US adult longitudinal study populations. METHODS: Subjects from the Baltimore Longitudinal Study of Aging (BLSA), consisting of 47 men and 47 women, ages ranging from 30 to 69 years, were compared to subjects from the VA Dental Longitudinal Study (VADLS) in Boston, MA, consisting of 481 men in the same age range. Baseline and follow-up examinations were performed on each cohort over a 10-year period. Using multivariate regression models, significant predictors of tooth loss were identified. RESULTS: A mean rate of tooth loss of 1.5 teeth lost per 10 years was noted in the VADLS cohort compared to 0.6 teeth lost per 10 years in the BLSA (P < .001). Combining subjects from both populations, significant predictors of tooth loss were baseline values of: percent of teeth with restorations, mean probing pocket depth score, age, tobacco use, alcohol consumption, number of teeth present, and male sex. However, the set of significant predictor variables differed between the two populations and sexes. In BLSA men, number of teeth present, percent of teeth with restorations, mean probing pocket depth score, and alcohol consumption, but not age, were significant, while in BLSA women, only age was a significant predictor. CONCLUSIONS: Over a 10-year period, the incidence of tooth loss, the rates of tooth loss, and the predictors of tooth loss were found to vary by population and by sex. These results illustrate the limits of generalizing tooth loss findings across different study cohorts and indicate that there may exist important differences in risk factors for tooth loss among US adult populations.

Validity and accuracy of a risk calculator in predicting periodontal disease.

BACKGROUND: Research on the pathobiology of periodontal diseases has increased our knowledge of these diseases and is fostering a transition from the repair model to the medical or wellness model of periodontal care. Successful application of the wellness model depends on an accurate and valid assessment of disease risk, as well as institution of risk reduction as an integral part of prevention and treatment. A computer-based risk assessment tool has been developed. METHODS: The authors reviewed clinical records and radiographs of 523 subjects enrolled in the Veterans Affairs Dental Longitudinal Study to evaluate the validity of risk prediction using the computer-based tool. Data from baseline examinations was entered into the risk calculator, and a risk score on a scale from 1 (lowest risk) to 5 (highest risk) was calculated for each subject to predict periodontal deterioration. Actual periodontal status in terms of alveolar bone loss (determined from digitized radiographs) and tooth loss (determined from clinical records) was assessed at years 3, 9 and 15. The authors determined the statistical strength of the association between risk prediction and actual outcome. RESULTS: The risk scores were strong predictors of periodontal status, as measured by alveolar bone loss and loss of periodontally affected teeth. Risk scores consistently ranked risk score groups from least to most bone loss and tooth loss. Compared with a risk score of 2, the relative risk of tooth loss was 3.2 for a risk score of 3, 4.5 for a risk score of 4 and 10.6 for a risk score of 5. CONCLUSIONS AND PRACTICE IMPLICATIONS: Use of the risk assessment tool over time may result in more uniform and accurate periodontal clinical decision-making, improved oral health, reduction in the need for complex therapy, reduction in health care costs and a hastening of the transition from a repair model to a wellness model of care.

Smoking relapse after 2 years of abstinence: findings from the VA Normative Aging Study.

Little is known about the risk of cigarette smoking relapse after 2 or more years of abstinence. The rates and predictors of late smoking relapse were estimated in 483 men who participated in a prospective study for up to 35 years. Subjects are participants in the VA Normative Aging Study, a prospective observational study of aging in men that began in 1963. Subjects are evaluated approximately every 3 years with physical examinations and questionnaires. Smoking, alcohol use, caffeine consumption, and socioeconomic variables were obtained by questionnaire, and weight and height were measured at clinical examinations every 3 years since 1963. Predictors of smoking relapse were identified using proportional hazards regression models. The rate of smoking relapse in the 2nd-6th years of abstinence fluctuated between 2 and 4% per year, and fell to less than 1% only after 10 years of abstinence. In multivariate regression models, coffee and alcohol consumption, and use of cigars or pipes significantly increased the risk of smoking relapse. A small risk of smoking relapse remains for at least 10 years after smoking cessation. Use of other tobacco products, coffee and alcohol increased the risk of late relapse. These findings may be useful in identifying those at highest risk for late relapse and for motivating former smokers to continue long-term abstinence.

Longitudinal validation of a risk calculator for periodontal disease.

BACKGROUND: Risk assessment and utilization of the results are important components of prevention, diagnosis and treatment of periodontal diseases. Risk assessment is relatively new to dentistry. Currently risk is assessed by subjective evaluation and results vary widely among clinicians. We have developed a computer-based risk assessment tool, the Periodontal Risk Calculator (PRC), for objective, quantitative assessment of risk. The purpose of the study reported here was to evaluate the accuracy and validity of this tool. METHODS: Clinical records and radiographs of 523 subjects enrolled in the VA Dental Longitudinal Study of Oral Health and Disease, covering a period of 15 years, were used. Information from baseline examinations was entered into the risk calculator and a risk score on a scale of l-5 for periodontal deterioration was calculated for each subject. Actual periodontal status in terms of alveolar bone loss determined using digitized radiographs, and tooth loss determined from the clinical records, was assessed at years 3, 9 and 15. The strength of the association between risk prediction and actual outcome was determined statistically. RESULTS: The risk scores were strong predictors of future periodontal status measured as worsening severity and extent of alveolar bone loss and tooth loss, especially loss of periodontally affected teeth. Over the entire 15-year period, risk scores consistently ranked groups from least to most bone loss and tooth loss. Risk groups differed greatly from one another. By year 3, the incidence rate of bone loss of group 5 was 3.7-fold greater than for group 2, and by year 15, the loss of periodontally affected teeth was 22.7-fold greater than for group 2 (p<0.001). By year 15, 83.7% of subjects in risk group 5 had lost one or more periodontally affected teeth compared to 20.2% of subjects in group 2. CONCLUSIONS: Risk scores calculated using the PRC and information gathered during a standard periodontal examination predict future periodontal status with a high level of accuracy and validity. Use of the risk assessment tool over time may be expected to result in more uniform and accurate periodontal clinical decision-making, improved oral health, reduction in the need for complex therapy and reduction in health-care cost.