Caries risk assessment in young adults: A 3-year validation of clinical guidelines used in Public Dental Service. (1st November 2013)

• Record Type: Journal Article
• Authors: Hänsel Petersson, Gunnel; Ericson, Ewa; Isberg, Per-Erik; Twetman, Svante
• Is Part Of: Acta odontologica Scandinavica. Volume 71:Number 6(2013)
• Page Start: 1645
• Page End: 1650
• Publication Date: 2013-11-01
• Subjects: risk classification -- guidelines -- risk model; Dentistry -- Periodicals; 617.6005
• DOI: 10.3109/00016357.2013.788734
• Languages: English
• ISSNs: 0001-6357

Abstract

Abstract: Objectives. To validate a risk classification model according to the Public Dental Service (PDS) guidelines with the actual 3-year caries outcome in terms of predictive values. Materials and methods. All 19-year-old patients registered at eight public dental clinics in Skåne, Sweden were invited to participate ( n = 1699). The study group who completed the baseline examination consisted of 1295 subjects, representing 10% of the age group attending the public dental care in the region. A risk classification of each patient in four categories was made by the patient's regular team according to the guidelines. At the follow-up 3 years later, 75.8% were accessible. The final examinations included bitewing radiographs and the actual caries increment for 982 patients was calculated. Results. At baseline, 11.9% were assessed as being at 'high' or 'very high' risk. The dropouts had significantly more caries than the remaining patients ( p < 0.05). The general disease activity was low, but those grouped into the two highest risk groups displayed significantly more new caries than those at lower risk ( p < 0.05). With a cut-off value ΔDFS > 0 vs DFS = 0, the sensitivity was 81% and the specificity 56% for 'low' risk vs any risk. By combining the 'low' and 'some' risk categories, the PDS model generated an improved specificity (94%). Conclusions. The risk assessment scheme used by the Public Dental Service for young adults relied basically on past and current caries activity and 65–70% of the patients were correctly classified. The model was most effective to screen out patients with low caries risk.