AAPT Diagnostic Criteria for Chronic Painful Temporomandibular Disorders

被引:30
|
作者
Ohrbach, Richard [1 ]
Dworkin, Samuel F. [2 ,3 ,4 ,5 ]
机构
[1] SUNY Buffalo, Dept Oral Diagnost Sci, Buffalo, NY USA
[2] Univ Washington, Sch Med, Dept Psychiat & Behav Sci, Seattle, WA 98195 USA
[3] Univ Washington, Sch Med, Dept Oral Med, Seattle, WA USA
[4] Univ Washington, Dept Psychiat & Behav Sci, Sch Dent, Seattle, WA 98195 USA
[5] Univ Washington, Dept Oral Med, Sch Dent, Seattle, WA 98195 USA
来源
JOURNAL OF PAIN | 2019年 / 20卷 / 11期
关键词
Pain; TMD; taxonomy; biopsychosocial; EMPIRICALLY IDENTIFIED DOMAINS; TMD DESCRIPTIVE DATA; AXIS I; OROFACIAL PAIN; RISK-FACTORS; EXAMINER RELIABILITY; MUSCULOSKELETAL PAIN; VALIDITY; RDC/TMD; HEADACHE;
D O I
10.1016/j.jpain.2019.04.003
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
The classification of temporomandibular disorders (TMD) has progressed substantially over the past 25 years owing to the strategic implementation of an initial classification system based on core taxonomic principles. In this article, we describe the development of the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) and its translation into the multidimensional Analgesic, Anesthetic, and Addiction Clinical Trial Translations Innovations Opportunities and Networks AAPT for chronic pain disorders. The initial scientific classification system (Research Diagnostic Criteria for Temporomandibular Disorders) relied on a boot-strapping process that did not attempt to solve all known clinical problems but, rather, focused on problems that could be solved at that time. The core design principles included using epidemiologic data, operationalized concepts, reliable methods, and the incorporation of the biopsychosocial model into a dual axis system. This system led to sufficient data collection internationally that the system itself could be revised, first by critical evaluation of all aspects, second by review from invited experts, and third by the construction of a revised taxonomy (DC/TMD) that maintained the core design principles of the Research Diagnostic Criteria for Temporomandibular Disorders. The resultant disorders with pain as a dominant feature exhibit substantial sensitivity and specificity, and they have been translated into the AAPT framework. The AAPT TMD criteria are part of an evidence-based classification system providing a systematic structure that includes 5 dimensions: diagnostic criteria, common features, comorbidities, consequences, and putative mechanisms. Future research will attempt to extend this AAPT domain from solely TMDs to include other orofacial pain conditions. Perspective: The painful TMDs have well-established sensitivity and specificity, as based on the DC/TMD; their translation to the AAPT framework for chronic pain conditions provides a structure for consistent clinical application within the broader health care settings and for future research on the TMDs. (C) 2019 by the American Pain Society
引用
收藏
页码:1276 / 1292
页数:17
相关论文
共 50 条
  • [41] Oral and Maxillofacial Surgery and Chronic Painful Temporomandibular Disorders-A Systematic Review
    Lindenmeyer, Antje
    Sutcliffe, Paul
    Eghtessad, Mehri
    Goulden, Roger
    Speculand, Bernard
    Harris, Malcolm
    JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY, 2010, 68 (11) : 2755 - 2764
  • [42] Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders—a comprehensive review
    Mayank Shrivastava
    Liang Ye
    International Journal of Oral Science, 15
  • [43] Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders——a comprehensive review
    Mayank Shrivastava
    Liang Ye
    International Journal of Oral Science, 2023, (04) : 575 - 587
  • [44] Masticatory muscle disorders diagnostic criteria: the American Academy of Orofacial Pain versus the research diagnostic criteria/temporomandibular disorders (RDC/TMD)
    Reiter, S.
    Goldsmith, C.
    Emodi-Perlman, A.
    Friedman-Rubin, P.
    Winocur, E.
    JOURNAL OF ORAL REHABILITATION, 2012, 39 (12) : 941 - 947
  • [45] Prevalence of temporomandibular disorders in children and adolescents evaluated with Diagnostic Criteria for Temporomandibular Disorders: A systematic review with meta-analysis
    Minervini, Giuseppe
    Franco, Rocco
    Marrapodi, Maria Maddalena
    Fiorillo, Luca
    Cervino, Gabriele
    Cicciu, Marco
    JOURNAL OF ORAL REHABILITATION, 2023, 50 (06) : 522 - 530
  • [46] Prevalence of temporomandibular disorders discovered incidentally during routine dental examination using the Research Diagnostic Criteria for Temporomandibular Disorders
    Talaat, Wael M.
    Adel, Omar I.
    Al Bayatti, Saad
    ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY, 2018, 125 (03): : 250 - 259
  • [47] Longitudinal outcome of temporomandibular disorders: A 5-year epidemiologic study of muscle disorders defined by Research Diagnostic Criteria for Temporomandibular Disorders
    Rammelsberg, P
    LeResche, L
    Dworkin, S
    Mancl, L
    JOURNAL OF OROFACIAL PAIN, 2003, 17 (01): : 9 - 20
  • [48] Diagnostic accuracy of the Diagnostic Criteria for Temporomandibular Disorders for children aged 8-12 years
    Katsikogianni, Eleni
    Schweigert-Gabler, Susette
    Krisam, Johannes
    Orhan, Gul
    Bissar, Abdul
    Lux, Christopher J.
    Schmitter, Marc
    Giannakopoulos, Nikolaos Nikitas
    JOURNAL OF ORAL REHABILITATION, 2021, 48 (01) : 18 - 27
  • [49] The correlation of research diagnostic criteria for temporomandibular disorders and magnetic resonance imaging: a study of diagnostic accuracy
    Mantelli Galhardo, Alessandra Pucci
    Leite, Claudia da Costa
    Mello Santiago Gebrim, Eloisa Maria
    Elia Gomes, Regina Lucia
    Mukai, Marcio Katsuyoshi
    Yamaguchi, Claudio Akira
    Bernardo, Wanderley Marques
    Soares, Jose Maria, Jr.
    Baracat, Edmund Chada
    Gil, Carlos
    ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY, 2013, 115 (02): : 277 - 284
  • [50] Effect of photobiomodulation therapy on painful temporomandibular disorders
    Adila Aisaiti
    Yanli Zhou
    Yue Wen
    Weina Zhou
    Chen Wang
    Jing Zhao
    Linfeng Yu
    Jinglu Zhang
    Kelun Wang
    Peter Svensson
    Scientific Reports, 11