Effects of Cariogenic Bacteria and Sealant Evaluated by International Caries Detection Assessment System
Effects of Cariogenic Bacteria and Sealant Evaluated by International Caries Detection Assessment System
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DOI：
10.2174/1874210601913010512
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发表时间：
2019-01-01
影响因子：
1.3
通讯作者：
Hanada, Nobuhiro
中科院分区：
文献类型：
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作者：
Nomura, Yoshiaki;Fujita, Yuko;Hanada, Nobuhiro
目的：评价致龋菌和封闭剂对牙面水平的影响。背景：国际龋病检测评价系统（ICADS）是一种通过表面水平评价非龋蚀早期龋损的临床评分系统。ICDAS评分一般，个体内每颗牙的龋均无统计学独立性。目的：采用混合效应模型，分析致龋菌和窝沟封闭剂对牙面龋进展的影响。其中，基线时、1年和2年后访视的患者纳入分析。52名患者退出。研究人群包括25名男孩和21名女孩，他们的平均年龄为9.3 ± 2.1岁。通过ciPCR测量唾液中致龋细菌的水平。采用重复测量的混合效应模型进行分析。变形杆菌和乳酸杆菌受到ICDAS评分进展的影响。上颌牙、磨牙、颊面和咬合面有进展的趋势。上颌牙、磨牙、颊面、邻面和咬合面均易受两种致龋菌的影响。结论：应用混合效应模型，可以进行高细节的表面水平分析。
Aim:Evaluation of tooth surface level effect of cariogenic bacteria and sealant.Background:International Caries Detection Assessment System (ICADS) is a clinical scoring system that can assess the non-cavitated early stage of dental caries by surface level. Scores used in ICDAS are ordinary and each tooth within one individual is not statistically independent.Objective:In this study, by applying mixed effect modeling, the effect of cariogenic bacteria and fissure sealant for tooth surface-level caries progression was analyzed.Methods:Ninety-eight patients who had been regularly visited the dental hospital for the regular check-ups were enrolled in this study. Among them, patients who visited at baseline, after one and two years, were included for the analysis. Fifty-two patients were dropped out. The study population consisted of 25 boys and 21girls and their mean ages were 9.3 +/- 2.1. Salivary levels of cariogenic bacteria were measured by ciPCR. Mixed effect modeling with repeated measures was applied for the analysis.Results:Salivary levels of S. mutans and Lactobacilli were affected by the progression of the ICDAS score. Maxillary teeth, molars and buccal and occlusal surfaces were tended to progress. Maxillary tooth, molar tooth and buccal, approximal, and occlusal surface were tended to be affected by both cariogenic bacteria.Conclusion:By applying mixed effect modeling, highly-detailed surface-level analysis can be available.