title: Validation of an algorithm for chronic periodontitis risk assessment and prognostication: risk predictors, explanatory values, measures of quality, and clinical use.
abstract: BACKGROUND
  The American Academy of Periodontology has recently stated that, "[risk assessment will become] increasingly important in periodontal treatment planning and should be part of every comprehensive dental and periodontal evaluation." (J Periodontol 2006;77:1608). Unaided risk assessment and prognostication show significant variability because chronic periodontitis is a multifactorial disease. This report summarizes the clinical validation of an algorithm for chronic periodontitis risk assessment and prognostication. The algorithm is a Web-based analytic tool that integrates some 20 risk predictors and calculates scores indicating levels of risk for chronic periodontitis for the dentition (Level I) and, if an elevated risk is found, prognosticates disease progression tooth by tooth (Level II).
  
  
  METHODS
  An independent clinical validation sample was generated in an open, prospective clinical trial and analyzed in a predetermined validation plan.
  
  
  RESULTS
  The analyses identified two threshold scores above which significant progression of periodontitis was found. Based on these scores, sufficiently high explanatory values with significant and increasing parameter estimates for increasing risk were established in Level I, justifying detailed analysis tooth by tooth in Level II. Subsequent prognostication of chronic periodontitis in Level II was found to be accompanied by clinically relevant measures of quality in relation to rates of disease progression. Three score intervals representing increasing levels of periodontitis progression were identified corresponding to increasing levels of significant annual marginal bone loss.
  
  
  CONCLUSIONS
  The predictors included in the algorithm reflect a relevant selection for periodontitis risk assessment. Risk assessment and prognostication with the algorithm provides the clinician with a validated, reliable, consistent, and objective tool supporting treatment planning.
authors.affiliation: DentoSystem Scandinavia AB, Stockholm, Sweden.
authors.forename: Sven
authors.initials: S
authors.lastname: Lindskog
authors.forename: Johan
authors.initials: J
authors.lastname: Blomlöf
authors.forename: Inger
authors.initials: I
authors.lastname: Persson
authors.forename: Anders
authors.initials: A
authors.lastname: Niklason
authors.forename: Anders
authors.initials: A
authors.lastname: Hedin
authors.forename: Leif
authors.initials: L
authors.lastname: Ericsson
authors.forename: Mats
authors.initials: M
authors.lastname: Ericsson
authors.forename: Bo
authors.initials: B
authors.lastname: Järncrantz
authors.forename: Ulf
authors.initials: U
authors.lastname: Palo
authors.forename: Georg
authors.initials: G
authors.lastname: Tellefsen
authors.forename: Olle
authors.initials: O
authors.lastname: Zetterström
authors.forename: Leif
authors.initials: L
authors.lastname: Blomlöf
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D016301:Alveolar Bone Loss / Q000000981:diagnostic imaging; D055113:Chronic Periodontitis / Q000473:pathology*; D018450:Disease Progression; D005260:Female; D017823:Furcation Defects / Q000000981:diagnostic imaging; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D011379:Prognosis; D011859:Radiography; D018570:Risk Assessment; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D018709:Statistics, Nonparametric