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Risk assessment models to predict caries recurrence after oral rehabilitation under general anaesthesia: a pilot study.
Lin, Yai-Tin; Kalhan, Ashish Chetan; Lin, Yng-Tzer Joseph; Kalhan, Tosha Ashish; Chou, Chein-Chin; Gao, Xiao Li; Hsu, Chin-Ying Stephen.
Afiliação
  • Lin YT; Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
  • Kalhan AC; Faculty of Dentistry, National University of Singapore, Singapore, Singapore.
  • Lin YJ; Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
  • Kalhan TA; Faculty of Dentistry, National University of Singapore, Singapore, Singapore.
  • Chou CC; Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
  • Gao XL; Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
  • Hsu CS; Faculty of Dentistry, National University of Singapore, Singapore, Singapore.
Int Dent J ; 68(6): 378-385, 2018 Dec.
Article em En | MEDLINE | ID: mdl-29740814
OBJECTIVES: Oral rehabilitation under general anaesthesia (GA), commonly employed to treat high caries-risk children, has been associated with high economic and individual/family burden, besides high post-GA caries recurrence rates. As there is no caries prediction model available for paediatric GA patients, this study was performed to build caries risk assessment/prediction models using pre-GA data and to explore mid-term prognostic factors for early identification of high-risk children prone to caries relapse post-GA oral rehabilitation. METHODS: Ninety-two children were identified and recruited with parental consent before oral rehabilitation under GA. Biopsychosocial data collection at baseline and the 6-month follow-up were conducted using questionnaire (Q), microbiological assessment (M) and clinical examination (C). RESULTS: The prediction models constructed using data collected from Q, Q + M and Q + M + C demonstrated an accuracy of 72%, 78% and 82%, respectively. Furthermore, of the 83 (90.2%) patients recalled 6 months after GA intervention, recurrent caries was identified in 54.2%, together with reduced bacterial counts, lower plaque index and increased percentage of children toothbrushing for themselves (all P < 0.05). Additionally, meal-time and toothbrushing duration were shown, through bivariate analyses, to be significant prognostic determinants for caries recurrence (both P < 0.05). CONCLUSIONS: Risk assessment/prediction models built using pre-GA data may be promising in identifying high-risk children prone to post-GA caries recurrence, although future internal and external validation of predictive models is warranted.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conhecimentos, Atitudes e Prática em Saúde / Medição de Risco / Cárie Dentária / Anestesia Geral Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conhecimentos, Atitudes e Prática em Saúde / Medição de Risco / Cárie Dentária / Anestesia Geral Idioma: En Ano de publicação: 2018 Tipo de documento: Article