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用于准确评估10至18岁参与者龋齿风险的简化预测模型

Simplified Prediction Model for Accurate Assessment of Dental Caries Risk among Participants Aged 10-18 Years.

作者信息

Kim Jung-Min, Choi Jun-Seon, Choi Yoon-Hyeong, Kim Hee-Eun

机构信息

Gachon University Graduate School of Public Health.

Department of Dental Hygiene, Gachon University College of Health Science.

出版信息

Tohoku J Exp Med. 2018 Oct;246(2):81-86. doi: 10.1620/tjem.246.81.

Abstract

Dental caries assessment needs to be targeted at specific age groups, as many risk factors are related to patient age. Pre-teen and teenage patients, who are still at risk of occurrence of new carious lesions, need more individualized caries management strategies. Therefore, this study aimed to identify caries-related risk factors and develop a simplified risk prediction model for dental caries. Risk factors for caries were assessed in 171 participants aged 10-18 years, based on a questionnaire survey, previous history of caries, oral hygiene, microorganism colonization, saliva secretion, saliva buffer capacity examinations, and the acidogenicity of dental biofilms. These risk factors were entered into a computer-based risk assessment program (the Cariogram), and correlations between these factors and Cariogram scores were investigated. Significant risk predictors were used to develop a simplified risk prediction model. The performance of this model in predicting dental caries incidence was evaluated using receiver operating characteristic analysis, to determine its applicability to the management of caries. Our simplified prediction model included three predictors that were significantly associated with caries incidence: use of fluoride-containing toothpaste, the acidogenicity of dental biofilms, and saliva secretion (p < 0.001). The resulting model had a sensitivity and specificity of 60.5 and 85.0%, respectively, with a cut-off value of 69.41 as the threshold. The area under the curve of this model was 0.782 (95% confidence interval = 0.681-0.884, p < 0.001). Our new caries risk prediction model is expected to allow clinicians to accurately and easily predict patients' risk of occurrence of new caries.

摘要

由于许多风险因素与患者年龄相关,龋齿评估需要针对特定年龄组。仍有发生新龋损风险的儿童期和青少年患者需要更个性化的龋齿管理策略。因此,本研究旨在确定与龋齿相关的风险因素,并开发一种简化的龋齿风险预测模型。基于问卷调查、既往龋齿病史、口腔卫生、微生物定植、唾液分泌、唾液缓冲能力检查以及牙菌斑的产酸性,对171名年龄在10 - 18岁的参与者进行了龋齿风险因素评估。将这些风险因素输入基于计算机的风险评估程序(龋病预测软件),并研究这些因素与龋病预测软件得分之间的相关性。使用显著的风险预测指标开发了一种简化的风险预测模型。使用受试者工作特征分析评估该模型在预测龋齿发病率方面的性能,以确定其在龋齿管理中的适用性。我们的简化预测模型包括三个与龋齿发病率显著相关的预测指标:含氟牙膏的使用、牙菌斑的产酸性和唾液分泌(p < 0.001)。所得模型的敏感性和特异性分别为60.5%和85.0%,截断值为69.41作为阈值。该模型的曲线下面积为0.782(95%置信区间 = 0.681 - 0.884,p < 0.001)。我们新的龋齿风险预测模型有望使临床医生能够准确且轻松地预测患者发生新龋齿的风险。

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