Oral Condition and Incident Coronary Heart Disease: A Clustering Analysis.

Poor oral health has been linked to coronary heart disease (CHD). Clustering clinical oral conditions routinely recorded in adults may identify their CHD risk profile. Participants from the Paris Prospective Study 3 received, between 2008 and 2012, a baseline routine full-mouth clinical examination and an extensive physical examination and were thereafter followed up every 2 y until September 2020. Three axes defined oral health conditions: 1) healthy, missing, filled, and decayed teeth; 2) masticatory capacity denoted by functional masticatory units; and 3) gingival inflammation and dental plaque. Hierarchical cluster analysis was performed with multivariate Cox proportional hazards regression models and adjusted for age, sex, smoking, body mass index, education, deprivation (EPICES score; Evaluation of Deprivation and Inequalities in Health Examination Centres), hypertension, type 2 diabetes, LDL and HDL serum cholesterol (low- and high-density lipoprotein), triglycerides, lipid-lowering medications, NT-proBNP and IL-6 serum level. A sample of 5,294 participants (age, 50 to 75 y; 37.10% women) were included in the study. Cluster analysis identified 3,688 (69.66%) participants with optimal oral health and preserved masticatory capacity (cluster 1), 1,356 (25.61%) with moderate oral health and moderately impaired masticatory capacity (cluster 2), and 250 (4.72%) with poor oral health and severely impaired masticatory capacity (cluster 3). After a median follow-up of 8.32 y (interquartile range, 8.00 to 10.05), 128 nonfatal incident CHD events occurred. As compared with cluster 1, the risk of CHD progressively increased from cluster 2 (hazard ratio, 1.45; 95% CI, 0.98 to 2.15) to cluster 3 (hazard ratio, 2.47; 95% CI, 1.34 to 4.57; P < 0.05 for trend). To conclude, middle-aged individuals with poor oral health and severely impaired masticatory capacity have more than twice the risk of incident CHD than those with optimal oral health and preserved masticatory capacity (ClinicalTrials.gov NCT00741728).

Periodontopathogens antibodies and major adverse events following an acute myocardial infarction: results from the French Registry of Acute ST-Elevation and Non-ST-Elevation Myocardial Infarction (FAST-MI).

BACKGROUND: Periodontopathogens antibodies have been shown to be associated with primary myocardial events, but little is known regarding their impact on major adverse events after a prior acute myocardial infarction (AMI). The present prospective study evaluates the association between antibody levels of 4 periodontopathogens and the risk of all-cause death or non-fatal myocardial infarction (MI) at 1 year in 975 patients admitted for acute ST segment or non-ST segment elevation MI in French Registry of Acute ST-Elevation and Non-ST-Elevation Myocardial Infarction (FAST-MI), a nationwide French survey. METHODS: Multiserotype ELISAs were performed to assess levels of IgG and IgA against Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, Prevotella intermedia and Tannerella forsythia. RESULTS: Adjusted HRs indicate the lack of association between IgG-anti-Po. gingivalis levels (0.96 (0.78 to 1.18)), IgA-anti-Po. gingivalis levels (1.13 (0.90 to 1.42)) and the risk of all-cause death or non-fatal MI at 1 year. Additionally, no significant association was found between the occurence of an event at 1 year and immunoglobulins levels against the others periodontopathogens. CONCLUSIONS: The present data indicate that circulating levels of periodontopathogens antibodies are not associated with an increased risk of major adverse events in patients with a prior AMI. Studies dealing with bacterial and clinical data are needed to assess the role of oral health in comprehensive cardiac rehabilitation programmes.

The Eigenfactor™ Score in highly specific medical fields: the dental model.

We sought to compare the Eigenfactor Score™ journal rank with the journal Impact Factor over five years, and to identify variables that may influence the ranking differences between the two metrics. Datasets were retrieved from the Thomson Reuters(®) and Eigenfactor Score™ Web sites. Dentistry was identified as the most specific medical specialty. Variables were retrieved from the selected journals to be included in a regression linear model. Among the 46 dental journals included in the analysis, striking variations in ranks were observed according to the metric used. The Bland-Altman plot showed a poor agreement between the metrics. The multivariate analysis indicates that the number of original research articles, the number of reviews, the self-citations, and the citing time may explain the differences between ranks. The Eigenfactor Score™ seems to better capture the prestige of a journal than the Impact Factor. In medicine, the bibliometric indicators should focus not only on the overall medical field but also on specialized disciplinary fields. Distinct measures are needed to better describe the scientific impact of specialized medical publications.