Guest Academic, Center for TMD & Orofacial Pain, Peking University School & Hospital of Stomatology, Beijing, PR China; Clinical Associate Professor, Department of Dentistry, Ng Teng Fong General Hospital and Faculty of Dentistry, National University Health System, Singapore; Adjunct Associate Professor, National Dental Research Institute Singapore, National Dental Centre Singapore and Duke-NUS Medical School, SingHealth, Singapore.
Research Associate, Center for TMD & Orofacial Pain, Peking University School & Hospital of Stomatology, Beijing, PR China; National Clinical Research Center for Oral Diseases, Beijing, PR China; National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, PR China; Beijing Key Laboratory of Digital Stomatology, Beijing, PR China.
J Prosthet Dent. 2022 Nov;128(5):977-983. doi: 10.1016/j.prosdent.2021.02.016. Epub 2021 Mar 29.
Screening for temporomandibular disorders (TMDs) is important in research and clinical practice. The short-form Fonseca Anamnestic Index (SFAI) was recently introduced but had only been validated for muscle disorders.
The purpose of this clinical study was to determine the diagnostic accuracy of the SFAI and its discrete and pooled items in relation to the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) benchmark.
A total of 866 consecutive participants with TMDs and 57 TMD-free controls (aged ≥18 years) were recruited. The participants (n=923; mean age 32.8 ±13.3 years; women 79.2%) answered the FAI, and TMD diagnoses were derived based on the DC/TMD protocol and algorithms. The 5-item SFAI, which comprised 2 pain-related and 3 function-related TMD questions, was subsequently acquired and assessed with reference to the DC/TMD diagnoses. The receiver operating characteristics (ROC) was used to verify accuracy (area under the curve [AUC]) and the best cutoff points. Sensitivity, specificity, predictive values, and likelihood ratios were also examined.
Pain-related (PT) and intra-articular (IT) TMDs were present in 48.3% (446/923) and 82.7% (763/923) of the participants, respectively. The SFAI demonstrated high accuracy for identifying all TMDs, PT, and IT (AUC of 0.97, 0.99, and 0.97, respectively). The best cutoff points were 12.5 for all TMDs/IT and 17.5 for PT. Sensitivity of the SFAI ranged from 90.7% to 97.5% while specificity varied from 93.0% to 96.5%, with the highest values for PT. As positive predictive values (99.4% to 99.5%) were greater than negative ones (41.7% to 83.3%), the SFAI was better at detecting the presence than the absence of TMDs. With reference to PT, the sensitivity, and specificity of the 2 discrete and pooled pain-related questions (questions 3 and 4), extended from 82.3% to 99.3% and 77.2% to 96.5% respectively. With regard to IT diagnoses, sensitivity and specificity ranged from 56.0% to 98.3% and 86.0% to 98.3% for the 3 discrete and pooled function-related items (questions 1, 2, and 5).
The SFAI presented high degrees of diagnostic accuracy in relation to the DC/TMD and can be used for screening TMDs. SFAI scores between 15 and 50 points should be used to identify the presence of TMDs, with scores ≥20 points specifying possible pain-related TMDs.
筛查颞下颌关节紊乱(TMD)在研究和临床实践中很重要。最近引入了简短形式的 Fonseca 病史索引(SFAI),但仅对肌肉疾病进行了验证。
本临床研究的目的是确定 SFAI 及其离散和组合项目与颞下颌关节紊乱诊断标准(DC/TMD)基准相关的诊断准确性。
共招募了 866 名连续患有 TMD 的参与者和 57 名无 TMD 的对照者(年龄≥18 岁)。参与者(n=923;平均年龄 32.8±13.3 岁;女性 79.2%)回答了 FAI,并且根据 DC/TMD 方案和算法得出了 TMD 诊断。随后获得了由 2 个与疼痛相关和 3 个与功能相关的 TMD 问题组成的 5 项 SFAI,并参考 DC/TMD 诊断进行了评估。使用接收器操作特征(ROC)来验证准确性(曲线下面积 [AUC])和最佳截断点。还检查了敏感性、特异性、预测值和似然比。
48.3%(446/923)和 82.7%(763/923)的参与者分别存在与疼痛相关(PT)和关节内(IT)TMD。SFAI 对识别所有 TMD、PT 和 IT 的准确性很高(AUC 分别为 0.97、0.99 和 0.97)。最佳截断点为所有 TMD/IT 为 12.5,PT 为 17.5。SFAI 的敏感性范围为 90.7%至 97.5%,特异性范围为 93.0%至 96.5%,PT 的特异性最高。由于阳性预测值(99.4%至 99.5%)大于阴性预测值(41.7%至 83.3%),因此 SFAI 更擅长检测 TMD 的存在而不是不存在。对于 PT,2 个离散和组合的与疼痛相关的问题(问题 3 和 4)的敏感性和特异性分别从 82.3%扩展到 99.3%和 77.2%到 96.5%。对于 IT 诊断,3 个离散和组合的与功能相关的项目(问题 1、2 和 5)的敏感性和特异性范围为 56.0%至 98.3%和 86.0%至 98.3%。
SFAI 与 DC/TMD 相关具有高度的诊断准确性,可用于筛查 TMD。SFAI 评分在 15 到 50 分之间应用于识别 TMD 的存在,得分≥20 分表示可能存在与疼痛相关的 TMD。