改良学龄前儿童版龋病风险评估工具与Cariostat对龋病风险的预测效果对比

Evaluating the performance of the modified caries-risk assessment tool for preschool children versus the Cariostat test in predicting caries risk

  • 摘要:
    目的 通过对比改良学龄前儿童版龋病风险评估工具(PSC-MCAT)与Cariostat龋易感性检测技术对广西南宁西乡塘区低龄儿童的患龋风险预测效果,验证PSC-MCAT在广西低龄儿童龋病风险预测中的可行性。
    方法 共纳入广西南宁市西乡塘区幼儿园511例3岁儿童,使用PSC-MCAT和Cariostat对其进行患龋风险评估,从基线开始每半年进行1次口腔检查,随访观察1.5年,对比两种方法预测新发龋的效果。
    结果 两种方法评估的患龋风险等级比较,差异均无统计学意义(P>0.05),一致性较差(P<0.05)。1.5年后,PSC-MCAT在3个风险等级之间新增龋比较,差异有统计学意义(P<0.05),Cariostat在低—高风险组、中—高风险组间新增龋比较,差异有统计学意义(P<0.05);在同一患龋风险等级中,低风险、中风险的儿童,两种CRA方法评估的1.5年后的龋病发病率和新增龋比较,差异均无统计学意义(P>0.05);高风险等级儿童龋病发病率及新增龋均比较,差异有统计学意义(P<0.05)。广义线性模型分析显示,两种工具所评估的风险等级与新发龋之间存在正向关联;在低风险、中风险等级中,PSC-MCAT与Cariostat检测结果相比,差异无统计学意义(P>0.05);在高风险等级中,PSC-MCAT与Cari‐ostat检测结果比较,差异有统计学意义(P<0.05),PSC-MCAT与新发龋风险增加相关(P<0.05)。PSC-MCAT的受试者工作特征(ROC)曲线下面积(AUC)为0.634(95%CI:0.593~0.675),灵敏度为92.55%,特异度为32.62%;Cariostat的AUC为0.664(95%CI:0.622~0.701),灵敏度为24.45%,特异度为94.76%。
    结论 PSC-MCAT在龋病风险评估与预测新龋发生方面呈现出较高的潜力,特别在初筛高风险个体上更有优势。

     

    Abstract:
    Objective To compare the performance of the modified caries-risk assessment tool for preschool children (PSC-MCAT) and the Cariostat caries activity test in predicting caries risk among young children in Xixiangtang District, Nanning, Guangxi, and to verify the feasibility of PSC-MCAT in predicting caries risk in young children in Guangxi.
    Methods A prospective cohort study enrolled 511 three-year-old children from kindergartens in Xixiangtang District, Guangxi. At baseline, their caries risk was assessed with both PSC-MCAT and Cariostat. Comprehensive oral examinations were performed every six months for 1.5 years to compare the effectiveness of the two methods in predicting incident caries.
    Results No statistically significant difference was observed in the caries risk levels assessed by the two methods (P > 0.05), and their agreement was poor (P < 0.05). At the 1.5-year follow-up, statistically significant differences in the mean new caries count were found among all three risk levels of the PSC-MCAT (P < 0.05). For the Cariostat, significant differences were only observed between the low-risk and high-risk groups and between the moderate-risk and high-risk groups (P < 0.05); within each baseline caries-risk level, no statistically significant differences in 1.5-year caries incidence or increment were observed between the two CRA methods for low- and moderate-risk children (P > 0.05). In the high-risk group, statistically significant differences were observed in both caries incidence and increment (P < 0.05). Generalized linear model analysis revealed a positive association between the risk levels assessed by both tools and the incidence of new caries. In the low- and moderate-risk levels, PSC-MCAT did not differ significantly from Cariostat (P > 0.05). In the high-risk level, a statistically significant difference was observed between the PSC-MCAT and Cariostat (P < 0.05), and PSC-MCAT was associated with an increased risk of new caries development (P < 0.05). The area under the receiver operating characteristic (ROC) the curve (AUC) for the PSC-MCAT was 0.634 (95% CI: 0.593-0.675), with a sensitivity of 92.55% and a specificity of 32.62%. The Cariostat yielded an AUC of 0.664 (95% CI: 0.622-0.701), with a sensitivity of 24.45%, and a specificity of 94.76%.
    Conclusion The PSC-MCAT demonstrates considerable potential for caries risk assessment and prediction of new caries development, showing particular advantage in the initial screening of high-risk individuals.

     

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