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Open AccessArticle

Risk Score to Predict Dental Caries in Adult Patients for Use in the Clinical Setting

1
Research and Development Department, Maló Clinic, 1600-042 Lisbon, Portugal
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Dentistry Department, Maló Clinic, 4100-130 Porto, Portugal
3
Dentistry Department, Maló Clinic, 1600-042 Lisbon, Portugal
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Clinic, Maló Clinic, 1600-042 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2019, 8(2), 203; https://doi.org/10.3390/jcm8020203
Received: 23 January 2019 / Revised: 30 January 2019 / Accepted: 4 February 2019 / Published: 7 February 2019
(This article belongs to the Special Issue Advanced Analytical Methods in Clinical Diagnosis and Therapy)
Background: There is a need for risk prediction tools in caries research. This investigation aimed to estimate and evaluate a risk score for prediction of dental caries. Materials and Methods: This case-cohort study included a random sample of 177 cases (with dental caries) and 220 controls (randomly sampled from the study population at baseline), followed for 3 years. The risk ratio (RR) for each potential predictor was estimated using a logistic regression model. The level of significance was 5%. Results: The risk model for dental caries included the predictors: “presence of bacterial plaque/calculus” (RR = 4.1), “restorations with more than 5 years” (RR = 2.3), “>8 teeth restored” (RR = 2.0), “history/active periodontitis” (RR = 1.7) and “presence of systemic condition” (RR = 1.4). The risk model discrimination (95% confidence interval) was 0.78 (0.73; 0.82) (p < 0.001, C-statistic). Patients were distributed into three risk groups based on the pre-analysis risk (54%): low risk (<half the pre-analysis risk; caries incidence = 6.8%), moderate risk (half-to-less than the pre-analysis risk; caries incidence = 20.4%) and high risk (≥the pre-analysis risk; caries incidence = 27%). Conclusions: The present study estimated a simple risk score for prediction of dental caries retrieved from a risk algorithm with good discrimination. View Full-Text
Keywords: tooth; caries; risk; epidemiology tooth; caries; risk; epidemiology
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de Araújo Nobre, M.; Sezinando, A.; Fernandes, I.; Maló, P. Risk Score to Predict Dental Caries in Adult Patients for Use in the Clinical Setting. J. Clin. Med. 2019, 8, 203.

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  • Externally hosted supplementary file 1
    Link: https://osf.io/mn2c7/
    Description: Database used to retrieve the risk score for caries prediction
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