Abstract
In the present study, we propose a novel diagnostic approach, using 3 different salivary markers, representing periodontal pathogen burden, inflammation, and tissue degradation, for detecting periodontitis. The salivary concentrations of Porphyromonas gingivalis, interleukin-1β, and matrix metalloproteinase-8, available from salivary specimens of 165 subjects (84 subjects with advanced periodontitis and 81 controls), were calculated together to obtain a cumulative risk score (CRS). In the calculation of CRS, the concentrations of each marker were divided into tertiles, and cumulative sub-score per each subject were calculated by the multiplication of the tertile values. Three CRS groups, indicating the lowest, medium, or highest risk, were formed with the cumulative sub-scores. Logistic regression analysis and ROC curves were performed to study the association of CRS with periodontitis. The results indicate that CRS, calculated from the 3 salivary biomarkers, is associated with advanced periodontitis more strongly than any of the markers individually. CRS offers a novel, non-invasive model for advanced periodontitis risk categorization that is especially useful in large population surveys where a periodontal examination is not feasible.