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Caries Risk Prediction Models in a Medical Health Care Setting.
Kalhan, T A; Un Lam, C; Karunakaran, B; Chay, P L; Chng, C K; Nair, R; Lee, Y S; Fong, M C F; Chong, Y S; Kwek, K; Saw, S M; Shek, L; Yap, F; Tan, K H; Godfrey, K M; Huang, J; Hsu, C-Y S.
Afiliación
  • Kalhan TA; Faculty of Dentistry, National University of Singapore, Singapore.
  • Un Lam C; Chief Dental Officer's Office, Ministry of Health, College of Medicine Building, Singapore.
  • Karunakaran B; Faculty of Dentistry, National University of Singapore, Singapore.
  • Chay PL; Dental Service, KK Women's and Children's Hospital, Singapore.
  • Chng CK; Dental Service, KK Women's and Children's Hospital, Singapore.
  • Nair R; Radboud University Medical Centre, Radboud Institute for Health Sciences, Department of Dentistry-Quality and Safety of Oral Healthcare, Nijmegen, the Netherlands.
  • Lee YS; Dr. D. Y. Patil Dental College & Hospital, Pune, Maharashtra, India.
  • Fong MCF; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Chong YS; Division of Paediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore.
  • Kwek K; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Saw SM; Chief Dental Officer's Office, Ministry of Health, College of Medicine Building, Singapore.
  • Shek L; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Yap F; Dental Service, KK Women's and Children's Hospital, Singapore.
  • Tan KH; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Godfrey KM; Division of Paediatric Allergy, Immunology & Rheumatology, National University Hospital, Singapore.
  • Huang J; Department of Paediatrics, KK Women's and Children's Hospital, Singapore.
  • Hsu CS; Department of Paediatrics, Duke-National University of Singapore Graduate Medical School, Singapore.
J Dent Res ; 99(7): 787-796, 2020 07.
Article en En | MEDLINE | ID: mdl-32311276
Despite development of new technologies for caries control, tooth decay in primary teeth remains a major global health problem. Caries risk assessment (CRA) models for toddlers and preschoolers are rare. Among them, almost all models use dental factors (e.g., past caries experience) to predict future caries risk, with limited clinical/community applicability owing to relatively uncommon dental visits compared to frequent medical visits during the first year of life. The objective of this study was to construct and evaluate risk prediction models using information easily accessible to medical practitioners to forecast caries at 2 and 3 y of age. Data were obtained from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) mother-offspring cohort. Caries was diagnosed using modified International Caries Detection and Assessment System criteria. Risk prediction models were constructed using multivariable logistic regression coupled with receiver operating characteristic analyses. Imputation was performed using multiple imputation by chained equations to assess effect of missing data. Caries rates at ages 2 y (n = 535) and 3 y (n = 721) were 17.8% and 42.9%, respectively. Risk prediction models predicting overall caries risk at 2 and 3 y demonstrated area under the curve (AUC) (95% confidence interval) of 0.81 (0.75-0.87) and 0.79 (0.74-0.84), respectively, while those predicting moderate to extensive lesions showed 0.91 (0.85-0.97) and 0.79 (0.73-0.85), respectively. Postimputation results showed reduced AUC of 0.75 (0.74-0.81) and 0.71 (0.67-0.75) at years 2 and 3, respectively, for overall caries risk, while AUC was 0.84 (0.76-0.92) and 0.75 (0.70-0.80), respectively, for moderate to extensive caries. Addition of anterior caries significantly increased AUC in all year 3 models with or without imputation (all P < 0.05). Significant predictors/protectors were identified, including ethnicity, prenatal tobacco smoke exposure, history of allergies before 12 mo, history of chronic maternal illness, maternal brushing frequency, childbearing age, and so on. Integrating oral-general health care using medical CRA models may be promising in screening caries-susceptible infants/toddlers, especially when medical professionals are trained to "lift the lip" to identify anterior caries lesions.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Atención a la Salud / Caries Dental Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Dent Res Año: 2020 Tipo del documento: Article País de afiliación: Singapur

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Atención a la Salud / Caries Dental Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Dent Res Año: 2020 Tipo del documento: Article País de afiliación: Singapur