Machado Vanessa, Lyra Patrícia, Santos Catarina, Proença Luís, Mendes José João, Botelho João
Clinical Research Unit, Centro de Investigação Interdisciplinar Egas Moniz (CiiEM), Egas Moniz-Cooperativa de Ensino Superior, 2829-511 Almada, Portugal.
Evidence-Based Hub, CiiEM, Egas Moniz-Cooperativa de Ensino Superior, 2829-511 Almada, Portugal.
J Pers Med. 2022 Aug 14;12(8):1315. doi: 10.3390/jpm12081315.
Self-reported questionnaires have been developed and validated in multiple populations as useful tools to estimate the prevalence of periodontitis in epidemiological settings. This study aimed to explore the accuracy of self-reporting for predicting the prevalence of periodontitis in a Portuguese population. The questionnaires were given to patients at a university clinic. Thirteen self-reported questions on periodontal health were gathered in a patient-reported questionnaire. Then, self-reporting responses were validated using full-mouth periodontal examination as a comparison. Multivariable logistic regression was used to analyze sensitivity, specificity, accuracy, precision, and area under the curve-receiver operator characteristic (AUC-ROC). Self-reported answers from 103 participants (58 females and 45 males) were included. Self-reported gum health, loose teeth, tooth appearance, and use of dental floss were associated with different definitions of severe periodontitis. The self-reported questions on "having gum disease," combined with "having gum treatment" and "having lost bone" were the items with higher performance for the 2018 case definition and the 2012 case definition, as well as for each respective severity staging. Categorization of tooth loss was only valuable for the prediction of periodontitis cases according to the 2012 case definition and its severe stage. Multiple self-reporting set-ups showed elevated performance levels for predicting periodontitis in Portuguese patients. These results may pave the way for future epidemiological surveillance programs using self-reporting approaches.
自我报告问卷已在多人群中开发并验证,是在流行病学环境中估计牙周炎患病率的有用工具。本研究旨在探讨自我报告在预测葡萄牙人群牙周炎患病率方面的准确性。问卷分发给大学诊所的患者。在一份患者报告问卷中收集了13个关于牙周健康的自我报告问题。然后,以全口牙周检查作为对照来验证自我报告的回答。采用多变量逻辑回归分析敏感性、特异性、准确性、精确性和曲线下面积-受试者工作特征曲线(AUC-ROC)。纳入了103名参与者(58名女性和45名男性)的自我报告答案。自我报告的牙龈健康、牙齿松动、牙齿外观和牙线使用情况与重度牙周炎的不同定义相关。关于“患牙龈疾病”,结合“接受牙龈治疗”和“骨质流失”的自我报告问题,在2018年病例定义和2012年病例定义以及各自的严重程度分期方面表现更佳。牙齿脱落的分类仅对根据2012年病例定义及其严重阶段预测牙周炎病例有价值。多种自我报告设置在预测葡萄牙患者牙周炎方面显示出较高的性能水平。这些结果可能为未来使用自我报告方法的流行病学监测计划铺平道路。