Validity of caries risk assessment programmes in preschool children
Validity of caries risk assessment programmes in preschool children
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DOI：
10.1016/j.jdent.2013.06.005
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发表时间：
2013-09-01
影响因子：
4.4
通讯作者：
Wong, May Chun Mei
中科院分区：
文献类型：
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作者：
Gao, Xiaoli;Di Wu, Ivy;Wong, May Chun Mei
目标：已经制定了各种龋齿风险评估（CRA）计划。然而，缺乏证明其有效性的科学证据。本研究旨在比较 4 个 CRA 程序（CAT、CAMBRA、Cariogram 和 NUS-CRA）在预测儿童早期龋齿方面的有效性。方法：对 544 名 3 岁儿童进行口腔检查和生物测试（唾液流量、唾液缓冲能力以及致龋菌变异链球菌和乳杆菌丰度）。他们的父母填写了一份调查问卷。使用无生物测试（筛查模式）和有生物测试（综合模式）的4个研究项目来预测儿童的龋齿风险。 12 个月后，记录了 485 名 (89%) 儿童的龋齿增量，并与基线风险预测进行比较。结果：基于推理的程序（CAT 和 CAMBRA 筛查）具有高敏感性 (>= 93.8%)，但特异性低 (= 160%)，而其筛查模型接近该目标。 结论：我们的结果支持基于算法的龋齿风险建模方法以及 NUS-CRA 在识别易患龋齿儿童方面的有用性临床意义：这项前瞻性研究为从业者选择评估儿童龋齿风险的工具提供了依据，从而可以制定预防措施并优化治疗方案。 (C) 2013 Elsevier Ltd. 保留所有权利。
Objectives: Various programmes have been developed for caries risk assessment (CRA). Nevertheless, scientific evidence on their validity is lacking. This study aimed to compare the validity of 4 CRA programmes (CAT, CAMBRA, Cariogram, and NUS-CRA) in predicting early childhood caries.Methods: A total of 544 children aged 3 years underwent oral examination and biological tests (saliva flow rate, salivary buffering capacity and abundance of cariogenic bacteria mutans Streptococci and Lactobacilli). Their parents completed a questionnaire. Children's caries risk was predicted using the 4 study programmes without biological tests (screening mode) and with biological tests (comprehensive mode). After 12 months, caries increment in 485 (89%) children was recorded and compared with the baseline risk predictions.Results: Reasoning-based programmes (CAT and CAMBRA screening) had high sensitivity (>= 93.8%) but low specificity (= 160%), while its screening model approached that target.Conclusions: Our results supported algorithm-based approach of caries risk modelling and the usefulness of NUS-CRA in identifying children susceptible to caries.Clinical significance: This prospective study provided evidence for practitioners to select tools for assessing children's caries risk, so that prevention measures can be tailored and treatment plan can be optimised. (C) 2013 Elsevier Ltd. All rights reserved.