国际口腔面部疼痛分类算法的开发与验证。

IF 5.5 1区 医学 Q1 ANESTHESIOLOGY
Hamid Shakeri, Charlotte Vueghs, Rafael Benoliel, Arne May, Paulo Conti, Tara Renton, Lene Baad-Hansen, Frederic Van der Cruyssen
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引用次数: 0

摘要

摘要:口腔面部疼痛(OFP)包含了一系列复杂的疾病,这些疾病对诊断提出了重大挑战。国际口腔面部疼痛分类(ICOP)于2020年推出,提供了一个全面的诊断框架,涵盖了近200种不同的OFP病症。然而,其详细的结构可能会阻碍临床设置的实际使用。为了解决这个问题,我们开发了国际口腔面部疼痛分类算法(ICOP- al),这是一个基于流程图的工具,旨在通过有条不紊地指导用户通过ICOP的分层标准来简化诊断过程。国际口腔面部疼痛分类算法整合了完善的诊断标准,包括国际头痛疾病分类第3版和颞下颌疾病诊断标准,以提高临床适用性和诊断精度。该算法的有效性在一项有100名匿名患者病例的研究中得到了评估,并由不同经验水平的临床医生进一步评估。结果表明,ICOP-AL的诊断结果与临床专家的诊断结果基本一致(Cohen’s Kappa κ = 0.688, P < 0.001), ICOP-AL优于非专家评估者,从而强调了其可靠性和在临床环境中标准化诊断结果的潜力。国际口腔面部疼痛分类算法代表了改善OFP诊断的有希望的一步,为将ICOP整合到常规临床实践提供了一个结构化和可访问的方法。虽然早期的结果令人鼓舞,但需要进一步的改进和实际验证,特别是对于更详细的诊断,以确定其作为诊断和教育工具的全部潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and validation of the International Classification for Orofacial Pain Algorithm.

Abstract: Orofacial pain (OFP) encompasses a complex spectrum of conditions that present significant diagnostic challenges. The International Classification of Orofacial Pain (ICOP), introduced in 2020, offers a comprehensive diagnostic framework encompassing nearly 200 distinct OFP conditions. However, its detailed structure can impede practical use in clinical settings. To address this, we developed the International Classification of Orofacial Pain Algorithm (ICOP-AL), a flowchart-based tool designed to simplify the diagnostic process by methodically guiding users through ICOP's hierarchical criteria. International Classification of Orofacial Pain Algorithm integrates well-established diagnostic standards, including those from the International Classification of Headache Disorders, 3rd edition and Diagnostic Criteria for Temporomandibular Disorders, to enhance clinical applicability and diagnostic precision. The algorithm's validity was assessed in a study with 100 anonymized patient cases and further evaluated by clinicians across varied experience levels. The results demonstrated substantial agreement between ICOP-AL-derived diagnoses and expert clinician diagnoses (Cohen's Kappa κ = 0.688, P < 0.001), with ICOP-AL outperforming nonexpert evaluators, thereby underscoring its reliability and potential to standardize diagnostic outcomes across clinical environments. International Classification of Orofacial Pain Algorithm represents a promising step toward improving OFP diagnosis, providing a structured and accessible approach for integrating ICOP into routine clinical practice. Although early results are encouraging, further refinement and real-world validation, particularly for more detailed diagnoses, are necessary to determine its full potential as a diagnostic and educational tool.

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来源期刊
PAIN®
PAIN® 医学-临床神经学
CiteScore
12.50
自引率
8.10%
发文量
242
审稿时长
9 months
期刊介绍: PAIN® is the official publication of the International Association for the Study of Pain and publishes original research on the nature,mechanisms and treatment of pain.PAIN® provides a forum for the dissemination of research in the basic and clinical sciences of multidisciplinary interest.
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