Zukanović Amila
Department of Preventive and Pediatric Dentistry, Faculty of Dentistry, University of Sarajevo, Bolnička 4a, 71000 Sarajevo, Bosnia and Herzegovina.
Acta Med Acad. 2013 Nov;42(2):198-208. doi: 10.5644/ama2006-124.87.
The aim of this research was to assess the efficiency of different multifactor models in caries prediction.
Data from the questionnaire and objective examination of 109 examinees was entered into the Cariogram, Previser and Caries-Risk Assessment Tool (CAT) multifactor risk assessment models. Caries risk was assessed with the help of all three models for each patient, classifying them as low, medium or high-risk patients. The development of new caries lesions over a period of three years [Decay Missing Filled Tooth (DMFT) increment = difference between Decay Missing Filled Tooth Surface (DMFTS) index at baseline and follow up], provided for examination of the predictive capacity concerning different multifactor models.
The data gathered showed that different multifactor risk assessment models give significantly different results (Friedman test: Chi square = 100.073, p=0.000). Cariogram is the model which identified the majority of examinees as medium risk patients (70%). The other two models were more radical in risk assessment, giving more unfavorable risk -profiles for patients. In only 12% of the patients did the three multifactor models assess the risk in the same way. Previser and CAT gave the same results in 63% of cases - the Wilcoxon test showed that there is no statistically significant difference in caries risk assessment between these two models (Z = -1.805, p=0.071).
Evaluation of three different multifactor caries risk assessment models (Cariogram, PreViser and CAT) showed that only the Cariogram can successfully predict new caries development in 12-year-old Bosnian children.
本研究旨在评估不同多因素模型在龋齿预测中的效率。
将109名受试者的问卷数据和客观检查数据输入到Cariogram、Previser和龋齿风险评估工具(CAT)多因素风险评估模型中。借助这三种模型对每位患者的龋齿风险进行评估,将他们分为低、中或高风险患者。在三年时间内新龋齿病变的发展情况[龋失补牙数(DMFT)增量=基线时和随访时龋失补牙面数(DMFTS)指数之差],用于检验不同多因素模型的预测能力。
收集的数据表明,不同的多因素风险评估模型给出的结果有显著差异(Friedman检验:卡方=100.073,p = 0.000)。Cariogram模型将大多数受试者识别为中度风险患者(70%)。其他两种模型在风险评估方面更为激进,为患者给出了更不利的风险概况。只有12%的患者,这三种多因素模型对风险的评估方式相同。Previser和CAT在63%的病例中给出了相同的结果——Wilcoxon检验表明,这两种模型在龋齿风险评估方面没有统计学上的显著差异(Z = -1.805,p = 0.071)。
对三种不同的多因素龋齿风险评估模型(Cariogram、PreViser和CAT)的评估表明,只有Cariogram能够成功预测波斯尼亚12岁儿童新龋齿的发展情况。