Dataset Information

The influence of type 1 and type 2 diabetes on periodontal disease progression: prospective results from the Study of Health in Pomerania (SHIP).

ABSTRACT: To explore associations between diabetes etiology (type 1 diabetes mellitus [T1DM] vs. T2DM) and glycemic control in the prediction of 5-year periodontal status change.The Study of Health in Pomerania (SHIP) is a population-based stratified sample of German men and women. Healthy participants and those determined to have T2DM arose from the SHIP cohort, and T1DM participants were recruited from diabetes clinics in the catchment area that gave rise to SHIP. Dentate participants (n = 2,626; 53% women; 20-81 years of age) were included. Diabetes was determined via physician diagnosis and/or HbA(1c) ?6.5% (uncontrolled diabetes >7.0%). Examiners blinded to diabetes status performed random half-mouth periodontal examinations, assessing probing depth (PD) and attachment loss (AL) (four sites/tooth) at baseline and follow-up. Participants were categorized into six groups as follows: 1) diabetes free (n = 2,280), 2) incident T2DM (n = 79), 3) controlled T2DM (n = 80), 4) uncontrolled T2DM (n = 72), 5) controlled T1DM (n = 43), and 6) uncontrolled T1DM (n = 72). In multivariable regressions, mean PD change (?MPD), mean AL change (?MAL), or incident tooth-loss values were regressed across the aforementioned diabetes categories.Mean (SD) ?MPD and ?MAL values among all participants were -0.08 ± 0.5 mm and 0.08 ± 1.03 mm, respectively, and 34% lost one or more teeth. Relative to diabetes-free participants, those with uncontrolled T2DM experienced greater ?MPD ± SE (P < 0.05), whereas participants with either uncontrolled T1DM or uncontrolled T2DM realized greater ?MAL (P < 0.05). Uncontrolled T1DM and T2DM were both associated with an increased risk of future tooth loss (P < 0.05).Diabetes control, but not etiology, was associated with future tooth loss and accelerated AL progression.

SUBMITTER: Demmer RT

PROVIDER: S-EPMC3447825 | biostudies-other | 2012 Oct

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

The influence of type 1 and type 2 diabetes on periodontal disease progression: prospective results from the Study of Health in Pomerania (SHIP).

Demmer Ryan T RT Holtfreter Birte B Desvarieux Moïse M Jacobs David R DR Kerner Wolfgang W Nauck Matthias M Völzke Henry H Kocher Thomas T

Diabetes care 20120801 10

<h4>Objective</h4>To explore associations between diabetes etiology (type 1 diabetes mellitus [T1DM] vs. T2DM) and glycemic control in the prediction of 5-year periodontal status change.<h4>Research design and methods</h4>The Study of Health in Pomerania (SHIP) is a population-based stratified sample of German men and women. Healthy participants and those determined to have T2DM arose from the SHIP cohort, and T1DM participants were recruited from diabetes clinics in the catchment area that gave ...[more]

PMID: 22855731

Similar Datasets

Project description:ObjectivesAssess periodontal disease progression among GullahAfrican Americans with type 2 diabetes mellitus (T2DM) according to health insurance coverage.MethodsFrom an ongoing clinical trial among T2DM Gullah, we extracted a cohort that was previously enrolled in a cross-sectional study (N=93). Comparing prior exam to trial initiation, total tooth sites/person with periodontal disease progression events [evaluated separately: 2+ mm of clinical attachment loss (CAL), 2+ mm increased periodontal probing depths (PPD), bleeding on probing (BOP) emergence] were evaluated according to health insurance coverage using regression techniques appropriate for data with different counts of potential events per subject (varying tooth sites available). We used negative binomial regression techniques to account for overdispersion and fit multivariable models that also included baseline glycemic control (poor: glycated hemoglobin > OR =7 percent, well: glycated hemoglobin <7 percent), history of established periodontitis, age, gender, body mass index, annual income, and oral hygiene behaviors. Final models included health insurance status, other significant predictors, and any observed confounders.ResultsPrivately insured were most prevalent (41.94 percent), followed by uninsured (23.66 percent), Medicare (19.35 percent), and Medicaid (15.05 percent). Those with poor glycemic control (65.59 percent) were more prevalent than well-controlled (34.41 percent). CAL events ranged from 0 to 58.8 percent tooth sites/ person (11.83 +/- 12.44 percent), while PPD events ranged from 0 to 44.2 percent (8.66 +/- 10.97 percent) and BOP events ranged from 0 to 95.8 percent (23.65 +/- 17.21 percent). Rates of CAL events were increased among those who were uninsured [rate ratio (RR) = 1.75, P = 0.02], Medicare-insured (RR = 1.90, P = 0.03), and Medicaid-insured (RR = 1.89, P = 0.06).ConclusionsIncreased access to health care, including dental services, may achieve reduction in chronic periodontal disease progression (as determined by CAL) for this study population. These results are very timely given the March 2010 passing of the US healthcare reform bills.

Project description:The objective of the present study was to establish if individuals with Diabetes Mellitus (DM2) and periodontal diseases (gingivitis or periodontitis) presented an increase in the concentration of modified LDL (moLDL) and what is the influence of periodontal treatment on the decrease of moLDL particles with consequent improvement in the parameters of DM2. Twenty-four diabetic patients with periodontitis (Group 1) and twenty-four diabetic patients with gingivitis (Group 2) were followed up for a period of 12 months. Group 1 was treated with periodontal debridement, and Group 2 received supra-gingival scaling and prophylaxis. In both groups, periodontal clinical parameters: probing depth (PD), clinical attachment level (CAL), gingival resection (GR), bleeding on probing index (BOP) and plaque index; inflammatory serum markers (glycemia, A1c, total cholesterol, HDL-cholesterol (HDL-c), LDL-cholesterol (LDL-c), triglycerides and hs-CRP) and oxidized LDL (oxLDL) were measured at baseline, t = 6 and t = 12 months after treatment. Solutions of LDL were analyzed using the nonlinear optical Z-Scan and optical absorption techniques. The periodontal clinical parameters showed significant improvement (p < 0.05) in both Group after 12 months. For both groups, total cholesterol, HDL-c, LDL-c, triglycerides and A1c levels did not show significant reductions after periodontal therapy. hs-CRP levels in Group 1 presented a significant reduction after 12 months. The glycemic rate and the oxLDL concentrations did not show significant differences as a function of time. The optical measurements of LDL solutions revealed an improvement of the LDL-c quality in both groups. Periodontal debridement was able to improve periodontal parameters and the quality of LDL-c in diabetic patients but without changes in the oxLDL concentration in both groups. Considering the clinical relevance, the reduction of infectious and inflammatory sites present in the oral cavity through periodontal therapy may help with the control and prevention of hyperglycemia and precursors of cardiovascular diseases.

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.

Project description: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.

Dataset Information

The influence of type 1 and type 2 diabetes on periodontal disease progression: prospective results from the Study of Health in Pomerania (SHIP).

Publications

The influence of type 1 and type 2 diabetes on periodontal disease progression: prospective results from the Study of Health in Pomerania (SHIP).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets