Modelling changes in clinical attachment loss to classify periodontal disease progression. (6th April 2016)

• Record Type: Journal Article
• Authors: Teles, Ricardo; Benecha, Habtamu K.; Preisser, John S.; Moss, Kevin; Starr, Jacqueline R.; Corby, Patricia; Genco, Robert; Garcia, Nathalia; Giannobile, William V.; Jared, Heather; Torresyap, Gay; Salazar, Elida; Moya, Julie; Howard, Cynthia; Schifferle, Robert; Falkner, Karen L.; Gillespie, Jane; Dixon, Debra; Cugini, MaryAnn
• Is Part Of: Journal of clinical periodontology. Volume 43:Number 5(2016:May)
• Page Start: 426
• Page End: 434
• Publication Date: 2016-04-06
• Subjects: clinical attachment loss -- disease progression -- linear mixed models -- periodontal disease; Periodontics -- Periodicals; 617.6
• DOI: 10.1111/jcpe.12539
• Languages: English
• ISSNs: 0303-6979

Abstract

Abstract: Aim: The goal of this study was to identify progressing periodontal sites by applying linear mixed models (LMM) to longitudinal measurements of clinical attachment loss (CAL). Methods: Ninety‐three periodontally healthy and 236 periodontitis subjects had their CAL measured bi‐monthly for 12 months. The proportions of sites demonstrating increases in CAL from baseline above specified thresholds were calculated for each visit. The proportions of sites reversing from the progressing state were also computed. LMM were fitted for each tooth site and the predicted CAL levels used to categorize sites regarding progression or regression. The threshold for progression was established based on the model‐estimated error in predictions. Results: Over 12 months, 21.2%, 2.8% and 0.3% of sites progressed, according to thresholds of 1, 2 and 3 mm of CAL increase. However, on average, 42.0%, 64.4% and 77.7% of progressing sites for the different thresholds reversed in subsequent visits. Conversely, 97.1%, 76.9% and 23.1% of sites classified as progressing using LMM had observed CAL increases above 1, 2 and 3 mm after 12 months, whereas mean rates of reversal were 10.6%, 30.2% and 53.0% respectively. Conclusion: LMM accounted for several sources of error in longitudinal CAL measurement, providing an improved method for classifying progressing sites.