posterpresentation
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Title: 0813 - Contribution of Salivary Levels of S. mutans for Tooth Surface Level Caries Progression Evaluated by ICDAS

Authors:

Yoshiaki Nomura (Presenter)
Tsurumi University

Yuko Fujita, Kyushu Dental College
Nobuhiro Hanada, Tsurumi University

Abstract:

Objectives: ICADS is a clinical scoring system which can assess non-cavitated early stage of dental caries. One of its properties are surface level evaluation. However, scores used in ICDAS are ordinal scales. In addition, each teeth within one individual is not statistically independent. These properties make the analysis of the data of ICDAS elusive. In this study, by applying mixed effect modeling, we analyzed the effect of salivary levels of streptococcus mutans and Lactobacilli for tooth surface level caries progression for the children with mixed dentition period.

Methods: One hundred patients who had been regularly visited the university 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. The study population consisted of 25 boys and 21girls and their mean ages were 9.3 +/- 2.1. Oral examinations were carried out by one dentist. Dental caries were evaluated according to the standard procedures of ICDAS system. 3-min stimulated saliva was collected by chewing gum base. Salivary levels S. mutans and Lactobacilli were measured by qPCR. Mixed effect modeling with repeated measures was applied for the analysis.

Results: Salivary levels of S. mutans and Lactobacilli were affected on the progression of ICDAS score. Maxillary tooth, molars and buccal and occlusal surface were tended to progress. By the analysis of interaction between cariogenic bacteria and tooth type, tooth kind, and tooth surface, maximally tooth, molar tooth and buccal, approximal, and occlusal surface were tended to be affected by the both cariogenic bacteria. Among them, co-efficient of occlusal surface was highest in both cariogenic bacteria.

Conclusions: By applying mixed effect modeling, highly-detailed surface level analysis can be available.

Disclosure Statement:
The submitter must disclose the names of the organizations with which any author have a relationship, the nature of the relationship, and the clinical or research area involved. The following is submitted: NONE

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