Song Jia, Bao Murong, Pan Yaping
Department of Periodontology, School of Stomatology, China Medical University & Liaoning Institute of Dental Research, Shenyang 110002, China.
Department of Periodontology, School of Stomatology, China Medical University & Liaoning Institute of Dental Research, Shenyang 110002, China. Email:
Zhonghua Kou Qiang Yi Xue Za Zhi. 2014 Jan;49(1):27-31.
To investigate the prediction effect of the self-reported periodontal health on moderate and severe chronic periodontitis and its feasibility.
A total of 330 subjects from five districts of Shenyang city attended the survey.Each subject answered questions about self-reported periodontal health and risk factors of periodontitis and was given a periodontal examination. The predictiveness was assessed by logistic regression modeling measuring receiver operator characteristic (ROC) curve and area under curve (AUC), sensitivity and specificity.
Self-reported periodontal health for the prediction of moderate and severe chronic periodontitis was moderately effective, with AUC of 0.837, sensitivity of 74.8%, specificity of 71.3%.Self-reported periodontal health combined with risk factors of periodontitis was highly effective in prediction of moderate and severe chronic periodontitis, with AUC of 0.912, sensitivity of 82.1%, specificity of 85.4%.
Self-reported periodontal health can be used for epidemiological investigation of moderate and severe chronic periodontitis.Self-reported periodontal health combined with risk factors of periodontitis can improve the accuracy of the results of the survey.
探讨自我报告的牙周健康状况对中重度慢性牙周炎的预测作用及其可行性。
来自沈阳市五个区的330名受试者参加了此次调查。每位受试者回答了关于自我报告的牙周健康状况和牙周炎危险因素的问题，并接受了牙周检查。通过逻辑回归模型测量受试者工作特征（ROC）曲线和曲线下面积（AUC）、敏感性和特异性来评估预测性。
自我报告的牙周健康状况对中重度慢性牙周炎的预测具有中等效果，AUC为0.837，敏感性为74.8%，特异性为71.3%。自我报告的牙周健康状况与牙周炎危险因素相结合对中重度慢性牙周炎的预测具有高效性，AUC为0.912，敏感性为82.1%，特异性为85.4%。
自我报告的牙周健康状况可用于中重度慢性牙周炎的流行病学调查。自我报告的牙周健康状况与牙周炎危险因素相结合可提高调查结果的准确性。
