Celik Esra Uzer, Gokay Necmi, Ates Mustafa
Department of Restorative Dentistry, Faculty of Dentistry, Izmir Katip Celebi University, Izmir, TURKIYE.
Eur J Dent. 2012 Jul;6(3):270-9.
THE AIMS OF THIS STUDY WERE TO: (1) evaluate the caries risk in young adults using Cariogram and (2) compare the efficiency of Cariogram with the regression risk models created using the same variables in Cariogram by examining the actual caries progression over a 2-year period.
This study included 100 subjects that were either twenty or twenty-one years-old. Data on general health, diet, oral hygiene and use of fluoride were obtained. Saliva analyses were performed, including mutans streptococci and lactobacilli counts, secretion rate and buffer capacity. DMFT and DMFS values were calculated by clinical examinations and radiographs. The participants were divided into 5 groups according to their Cariogram caries risk scores at baseline. Re-examination for caries was done after 2-years. The data were analyzed using Kruskall Wallis, Mann Whitney-U, and logistic regression analyses.
Diet frequency, plaque amount and secretion rate were significantly associated with caries increment (P<.05). Cariogram and the regression risk models explained the caries formation at a higher rate than single-variables. However, the regression risk model developed by diet frequency, plaque amount and secretion rate explained the caries formation similar to Cariogram, while the other regression model developed by all variables used in Cariogram explained the caries formation at a higher rate than this computer program.
Cariogram is effective and can be used for caries risk assessment instead of single variables; however, it is possible to develop simplier models with regression analyses to determine caries risk.
本研究旨在:(1)使用龋病预测软件(Cariogram)评估年轻成年人的龋病风险;(2)通过观察两年内的实际龋病进展情况,比较Cariogram与使用Cariogram中相同变量创建的回归风险模型的效率。
本研究纳入了100名年龄在20或21岁的受试者。收集了关于一般健康状况、饮食、口腔卫生和氟化物使用的数据。进行了唾液分析,包括变形链球菌和乳酸杆菌计数、分泌率和缓冲能力。通过临床检查和X线片计算DMFT和DMFS值。根据基线时的Cariogram龋病风险评分将参与者分为5组。2年后进行龋病复查。使用Kruskal Wallis、Mann Whitney - U和逻辑回归分析对数据进行分析。
饮食频率、菌斑量和分泌率与龋病增量显著相关(P <.05)。Cariogram和回归风险模型比单一变量能更好地解释龋病形成。然而,由饮食频率、菌斑量和分泌率建立的回归风险模型对龋病形成的解释与Cariogram相似,而由Cariogram中所有变量建立的另一个回归模型对龋病形成的解释率高于该计算机程序。
Cariogram是有效的,可用于龋病风险评估而非单一变量;然而,通过回归分析有可能开发出更简单的模型来确定龋病风险。