Dataset Information

Metabolic Syndrome and Periodontal Disease Progression in Men.

ABSTRACT: Metabolic syndrome, a cluster of 3 or more risk factors for cardiovascular disease, is associated with periodontal disease, but few studies have been prospective in design. This study's aim was to determine whether metabolic syndrome predicts tooth loss and worsening of periodontal disease in a cohort of 760 men in the Department of Veterans Affairs Dental Longitudinal Study and Normative Aging Study who were followed up to 33 y from 1981 to 2013. Systolic and diastolic blood pressures were measured with a standard mercury sphygmomanometer. Waist circumference was measured in units of 0.1 cm following a normal expiration. Fasting blood samples were measured in duplicate for glucose, triglyceride, and high-density lipoprotein. Calibrated periodontists served as dental examiners. Periodontal outcome events on each tooth were defined as progression to predefined threshold levels of probing pocket depth (?5 mm), clinical attachment loss (?5 mm), mobility (?0.5 mm), and alveolar bone loss (?40% of the distance from the cementoenamel junction to the root apex, on radiographs). Hazards ratios (95% confidence intervals) of tooth loss or a periodontitis event were estimated from tooth-level extended Cox proportional hazards regression models that accounted for clustering of teeth within individuals and used time-dependent status of metabolic syndrome. Covariates included age, education, smoking status, plaque level, and initial level of the appropriate periodontal disease measure. Metabolic syndrome as defined by the International Diabetes Federation increased the hazards of tooth loss (1.39; 1.08 to 1.79), pocket depth ?5 mm (1.37; 1.14 to 1.65), clinical attachment loss ?5 mm (1.19; 1.00 to 1.41), alveolar bone loss ?40% (1.25; 1.00 to 1.56), and tooth mobility ?0.5 mm (1.43; 1.07 to 1.89). The number of positive metabolic syndrome conditions was also associated with each of these outcomes. These findings suggest that the metabolic disturbances that comprise the metabolic syndrome may play a role in the development or worsening of periodontitis.

SUBMITTER: Kaye EK

PROVIDER: S-EPMC4914866 | biostudies-other | 2016 Jul

REPOSITORIES: biostudies-other

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Metabolic Syndrome and Periodontal Disease Progression in Men.

Kaye E K EK Chen N N Cabral H J HJ Vokonas P P Garcia R I RI

Journal of dental research 20160329 7

Metabolic syndrome, a cluster of 3 or more risk factors for cardiovascular disease, is associated with periodontal disease, but few studies have been prospective in design. This study's aim was to determine whether metabolic syndrome predicts tooth loss and worsening of periodontal disease in a cohort of 760 men in the Department of Veterans Affairs Dental Longitudinal Study and Normative Aging Study who were followed up to 33 y from 1981 to 2013. Systolic and diastolic blood pressures were meas ...[more]

PMID: 27025874

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Project description:BackgroundMetabolic syndrome (MetS) is a conglomerate of several physical conditions/diseases that, as a group, increases the risk of mortality resulting from development of T2DM and cardiovascular diseases (CVD). These conditions/diseases include glucose intolerance/insulin resistance, hypertension, obesity, and dyslipidemia. The results from epidemiological studies suggest that there is an association between metabolic syndrome (MetS) and periodontitis, it is therefore important to understand the current status of the association and a possible contribution of periodontitis to MetS.ObjectiveThis review will qualitatively analyze published papers on the association of MetS and periodontitis/periodontal disease to clarify the current status of the association and suggest future directions for studies which may unravel the causal relationship between them.ResultsOf 309 papers related to MetS and periodontitis, 26 are original research papers that investigated the relationship/association between periodontal disease and MetS. Criteria used to assess periodontitis and MetS as well as overall study designs and patient recruitment criteria varied greatly among these studies.ConclusionAll these studies demonstrated a positive association between periodontal disease and MetS. However, due to the heterogeneity of criteria to assess periodontitis and MetS and also paucity of longitudinal studies, it is difficult to determine the relative contribution of periodontitis to MetS. Age and the number of positive components of MetS appear to strengthen the relationship, however, incidence of each disease entity increases with ageing. Thus, mechanistic studies are also necessary to unravel the inter-relationship between periodontitis and MetS. In this regard, a use of animal models will be helpful as they are more uniform in regards to genetic background and have minimum confounding factors. Finally, development of accurate, quantitative assessment of gingival inflammation are necessary in order to determine the influence of periodontal disease on the development of MetS and its components.

Project description:BACKGROUND:Current periodontal disease taxonomies have limited utility for predicting disease progression and tooth loss; in fact, tooth loss itself can undermine precise person-level periodontal disease classifications. To overcome this limitation, the current group recently introduced a novel patient stratification system using latent class analyses of clinical parameters, including patterns of missing teeth. This investigation sought to determine the clinical utility of the Periodontal Profile Classes and Tooth Profile Classes (PPC/TPC) taxonomy for risk assessment, specifically for predicting periodontal disease progression and incident tooth loss. METHODS:The analytic sample comprised 4,682 adult participants of two prospective cohort studies (Dental Atherosclerosis Risk in Communities Study and Piedmont Dental Study) with information on periodontal disease progression and incident tooth loss. The PPC/TPC taxonomy includes seven distinct PPCs (person-level disease pattern and severity) and seven TPCs (tooth-level disease). Logistic regression modeling was used to estimate relative risks (RR) and 95% confidence intervals (CI) for the association of these latent classes with disease progression and incident tooth loss, adjusting for examination center, race, sex, age, diabetes, and smoking. To obtain personalized outcome propensities, risk estimates associated with each participant's PPC and TPC were combined into person-level composite risk scores (Index of Periodontal Risk [IPR]). RESULTS:Individuals in two PPCs (PPC-G: Severe Disease and PPC-D: Tooth Loss) had the highest tooth loss risk (RR = 3.6; 95% CI = 2.6 to 5.0 and RR = 3.8; 95% CI = 2.9 to 5.1, respectively). PPC-G also had the highest risk for periodontitis progression (RR = 5.7; 95% CI = 2.2 to 14.7). Personalized IPR scores were positively associated with both periodontitis progression and tooth loss. CONCLUSIONS:These findings, upon additional validation, suggest that the periodontal/tooth profile classes and the derived personalized propensity scores provide clinical periodontal definitions that reflect disease patterns in the population and offer a useful system for patient stratification that is predictive for disease progression and tooth loss.

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Metabolic Syndrome and Periodontal Disease Progression in Men.

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Metabolic Syndrome and Periodontal Disease Progression in Men.

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