Maeng You-Jin, Kim Bo-Ra, Jung Hoi-In, Jung Ui-Won, Kim Hee Eun, Kim Baek-Il
Department of Preventive Dentistry & Public Oral Health, Yonsei University College of Dentistry, Seoul, Korea .
Department of Preventive Dentistry & Public Oral Health, Yonsei University College of Dentistry, Seoul, Korea.; BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Korea.
J Periodontal Implant Sci. 2016 Feb;46(1):10-21. doi: 10.5051/jpis.2016.46.1.10. Epub 2016 Feb 15.
This study evaluated the predictive performance of a combination of self-report questionnaires, salivary hemoglobin levels, and age as a non-invasive screening method for periodontitis.
The periodontitis status of 202 adults was examined using salivary hemoglobin levels, responses to 10 questions on a self-report questionnaire, and the Community Periodontal Index (CPI). The ability of those two variables and the combination thereof with age to predict the presence of CPI scores of 3-4 and 4 was assessed using logistic regression and receiver operating characteristic (ROC) curve analysis.
CPI scores of 3-4 and 4 were present among 79.7% and 46.5% of the sample, respectively. The area under the ROC curves (AUROCs) of salivary hemoglobin levels for predicting prevalence of CPI scores of 3-4 and 4 were 0.63 and 0.67, respectively (with sensitivity values of 71% and 60% and specificity values of 56% and 72%, respectively). Two distinct sets of five questions were associated with CPI scores of 3-4 and 4, with AUROCs of 0.73 and 0.71, sensitivity values of 76% and 66%, and specificity values of 63% and 69%. The combined model incorporating both variables and age showed the best predictive performance, with AUROCs of 0.78 and 0.76, sensitivity values of 71% and 65%, and specificity values of 68% and 77% for CPI scores of 3-4 and 4, respectively.
The combination of salivary hemoglobin levels and self-report questionnaires was shown to be a valuable screening method for detecting periodontitis.
本研究评估了自我报告问卷、唾液血红蛋白水平和年龄相结合作为牙周炎非侵入性筛查方法的预测性能。
使用唾液血红蛋白水平、对一份自我报告问卷上10个问题的回答以及社区牙周指数(CPI)对202名成年人的牙周炎状况进行了检查。使用逻辑回归和受试者工作特征(ROC)曲线分析评估了这两个变量及其与年龄的组合预测CPI评分为3 - 4和4的存在情况的能力。
样本中分别有79.7%和46.5%的人CPI评分为3 - 4和4。唾液血红蛋白水平预测CPI评分为3 - 4和4的患病率的ROC曲线下面积(AUROC)分别为0.63和0.67(敏感性值分别为71%和60%,特异性值分别为56%和72%)。两组不同的五个问题集与CPI评分为3 - 4和4相关,AUROC分别为0.73和0.71,敏感性值分别为76%和66%,特异性值分别为63%和69%。包含这两个变量和年龄的组合模型显示出最佳预测性能,对于CPI评分为3 - 4和4,AUROC分别为0.78和0.76,敏感性值分别为71%和65%,特异性值分别为68%和77%。
唾液血红蛋白水平和自我报告问卷的组合被证明是检测牙周炎的一种有价值的筛查方法。