Development of a root caries prediction model in a population of dental attenders

Root caries prevalence is increasing as populations age and retain more of their natural dentition. However, there is generally no accepted practice to identify individuals at risk of disease. There is a need for the development of a root caries prediction model to support clinicians to guide targeted prevention strategies. The aim of this study was to develop a prediction model for root caries in a population of regular dental attenders. Clinical and patient-reported predictors were collected at baseline by routine clinical examination and patient questionnaires. Clinical examinations were conducted at the four-year timepoint by trained outcome assessors blind to baseline data to record root caries data at two thresholds - root caries present on any teeth (RC>0), and root caries present on three or more teeth (RC ≥3). Multiple logistic regression analyses were performed with the number of participants with root caries at each outcome threshold utilised as the outcome and baseline predictors as the candidate predictors. An automatic backwards elimination process was conducted to select predictors for the fi nal model at each threshold. The sensitivity, specificity and c-statistic of each model's performance was assessed. A total of 1432 patient participants were included within this prediction model, with 324 (22.6%) presenting with at least one root caries lesion, and 97 (6.8%) with lesions on three o r more teeth. The final prediction model at the RC>0 threshold included ...
Source: Caries Research - Category: Dentistry Source Type: research