title: Validation of periodontitis screening model using sociodemographic, systemic, and molecular information in a Korean population.
abstract: BACKGROUND
  This study aims to evaluate and validate a periodontitis screening model that includes sociodemographic, metabolic syndrome (MetS), and molecular information, including gingival crevicular fluid (GCF), matrix metalloproteinase (MMP), and blood cytokines.
  
  
  METHODS
  The authors selected 506 participants from the Shiwha-Banwol cohort: 322 participants from the 2005 cohort for deriving the screening model and 184 participants from the 2007 cohort for its validation. Periodontitis was assessed by dentists using the community periodontal index. Interleukin (IL)-6, IL-8, and tumor necrosis factor-α in blood and MMP-8, -9, and -13 in GCF were assayed using enzyme-linked immunosorbent assay. MetS was assessed by physicians using physical examination and blood laboratory data. Information about age, sex, income, smoking, and drinking was obtained by interview. Logistic regression analysis was applied to finalize the best-fitting model and validate the model using sensitivity, specificity, and c-statistics.
  
  
  RESULTS
  The derived model for periodontitis screening had a sensitivity of 0.73, specificity of 0.85, and c-statistic of 0.86 (P <0.001); those of the validated model were 0.64, 0.91, and 0.83 (P <0.001), respectively.
  
  
  CONCLUSIONS
  The model that included age, sex, income, smoking, drinking, and blood and GCF biomarkers could be useful in screening for periodontitis. A future prospective study is indicated for evaluating this model's ability to predict the occurrence of periodontitis.
authors: Department of Preventive and Social Dentistry, School of Dentistry, Seoul National University, Seoul, Korea.
authors: Hyun-Duck
authors: HD
authors: Kim
authors: Munkhzaya
authors: M
authors: Sukhbaatar
authors: Myungseop
authors: M
authors: Shin
authors: Yoo-Been
authors: YB
authors: Ahn
authors: Wook-Sung
authors: WS
authors: Yoo
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000428:Alcohol Drinking; D015415:Biomarkers / Q000032:analysis / Q000097:blood; D015331:Cohort Studies; D042241:Early Diagnosis; D005260:Female; D005883:Gingival Crevicular Fluid / Q000737:chemistry / Q000201:enzymology; D006801:Humans; D007182:Income; D015850:Interleukin-6 / Q000097:blood; D016209:Interleukin-8 / Q000097:blood; D008297:Male; D008403:Mass Screening / Q000706:statistics & numerical data*; D053509:Matrix Metalloproteinase 13 / Q000032:analysis; D020784:Matrix Metalloproteinase 8 / Q000032:analysis; D020780:Matrix Metalloproteinase 9 / Q000032:analysis; D024821:Metabolic Syndrome / Q000175:diagnosis; D008875:Middle Aged; D010512:Periodontal Index; D010518:Periodontitis / Q000175:diagnosis*; D056910:Republic of Korea; D012680:Sensitivity and Specificity; D012907:Smoking; D014409:Tumor Necrosis Factor-alpha / Q000097:blood; D055815:Young Adult
chemical_list: D015415:Biomarkers; C508606:CXCL8 protein, human; C508600:IL6 protein, human; D015850:Interleukin-6; D016209:Interleukin-8; D014409:Tumor Necrosis Factor-alpha; C507079:MMP13 protein, human; D053509:Matrix Metalloproteinase 13; C488762:MMP8 protein, human; D020784:Matrix Metalloproteinase 8; C579270:MMP9 protein, human; D020780:Matrix Metalloproteinase 9
keywords: Biological markers; mass screening; matrix metalloproteinase; periodontitis