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四川省 3 至 5 岁儿童高龋风险评分的推导。

Derivation of a Risk Score for High Caries Risk in 3- to 5-year-old Children in Sichuan Province.

出版信息

Oral Health Prev Dent. 2021 Jun 1;19:279-285. doi: 10.3290/j.ohpd.b1452865.

Abstract

PURPOSE

To explore potential caries risk indicators in 3- to 5-year-old children, and develop a simple risk-score model to screen the children at high risk of caries with decayed, filled, and missing teeth (dmft) > 2.

MATERIALS AND METHODS

A cross-sectional study involving 2746 children 3 to 5 years of age was conducted in Sichuan province. Children were examined for dmft index, and sociodemographic and behavioural factors were acquried through a questionnaire completed by their caregivers. A prediction model was developed by backward multivariate logistic regression, and its overfitting degree was examined with 5-fold cross-validation. A simple risk-score model was derived to screen the children with dmft > 2 at high risk of caries with the β regression coefficient obtained from the multivariate regression model.

RESULTS

A child's oral health status was identified as the highest risk indicator with a β regression coefficient of 1.093. The mean area under curve (AUC) from the 5-fold cross-validation was 0.7408 (95% CI: 72.21%, 75.95%), with a bias of only ca 1%. This result allowed us to eliminate substantial overfitting of the prediction model. The AUC of the risk scoring system was 0.7455 (95% CI: 72.70%, 76.40%), which indicated good screenability.

CONCLUSIONS

This risk score model has the advantages of simplicity, low cost and relatively high accuracy, and is suitable for use in developing countries, especially for primary screening for high risk of caries. It shows that certain child behaviours and parental attitude play an important role in dental caries among preschool children.

摘要

目的

探索 3-5 岁儿童潜在的龋齿风险指标,并建立一个简单的风险评分模型,对患龋病(dmft>2)的儿童进行筛查。

材料和方法

在四川省进行了一项横断面研究,共纳入 2746 名 3-5 岁儿童。检查儿童的 dmft 指数,并通过儿童照顾者填写的问卷获取社会人口学和行为因素。采用向后多元逻辑回归建立预测模型,并通过 5 折交叉验证检验其过拟合程度。利用多元回归模型中的β回归系数,建立一个简单的风险评分模型,筛选出 dmft>2 的高患龋风险儿童。

结果

儿童口腔健康状况被确定为最高风险指标,β回归系数为 1.093。5 折交叉验证的平均曲线下面积(AUC)为 0.7408(95%CI:72.21%,75.95%),偏差仅为 1%左右。这一结果表明,可以消除预测模型的过度拟合。风险评分系统的 AUC 为 0.7455(95%CI:72.70%,76.40%),表明具有良好的筛查能力。

结论

该风险评分模型具有简单、成本低、准确性相对较高的优点,适合发展中国家使用,特别是用于高患龋风险的初步筛查。研究表明,某些儿童行为和父母态度在学龄前儿童龋齿中起着重要作用。

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