Department of Paediatric Dentistry, Dental School, National and Kapodistrian University of Athens, Athens, Greece.
Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Int J Paediatr Dent. 2022 Jan;32(1):82-89. doi: 10.1111/ipd.12794. Epub 2021 May 9.
Caries risk assessment in preschool children is poorly validated in prospective studies.
To validate the Bangkok checklist (BCL) in predicting caries development in a cohort of preschool children from low and moderate socioeconomic areas and compare it with two established risk assessment tools.
We followed 146 preschool children, aged 2-5 years for 2 years. At baseline, the caries risk category (low, moderate, high) was determined with three checklists: (a) BCL, (b) American Academy of Pediatric Dentistry form (CRAF), and (c) Caries Management By Risk Assessment (CAMBRA). Data were collected from questionnaires and clinical examinations. Caries increment was recorded by counting the number of surfaces that changed from sound to decayed. We used Kendall's tau, Poisson regression models and ROC analysis to assess the predictive ability of the different checklists.
Over 50% of the children developed new caries on a yearly basis. The BCL assigned the majority of the children (87%) into the high-risk category. Sensitivity was 88% but specificity was low (16%). Accuracy of BCL was similar to CRAF but inferior to CAMBRA.
Bangkok checklist had a very limited performance in accurately predicting future early childhood caries in this population.
在前瞻性研究中，对学龄前儿童的龋齿风险评估验证效果不佳。
验证曼谷检查表（BCL）在预测来自低和中 socioeconomic 地区的学龄前儿童龋齿发展方面的效果，并将其与两种已确立的风险评估工具进行比较。
我们随访了 146 名 2-5 岁的学龄前儿童，随访时间为 2 年。在基线时，使用三种检查表（a）BCL、（b）美国儿科学会形式（CRAF）和（c）风险评估龋齿管理（CAMBRA）确定龋齿风险类别（低、中、高）。数据来自问卷调查和临床检查。通过计数从健康到腐烂的表面数量来记录龋齿增量。我们使用 Kendall's tau、泊松回归模型和 ROC 分析来评估不同检查表的预测能力。
超过 50%的儿童每年都会出现新的龋齿。BCL 将大多数儿童（87%）归入高风险类别。敏感性为 88%，但特异性较低（16%）。BCL 的准确性与 CRAF 相似，但不如 CAMBRA。
在预测该人群未来儿童早期龋齿方面，曼谷检查表的表现非常有限。
