医学
银屑病性关节炎
德尔菲法
系统回顾
算法
德尔菲
临床实习
痹症科
梅德林
医学物理学
循证医学
物理疗法
重症监护医学
关节炎
替代医学
内科学
病理
人工智能
计算机科学
操作系统
法学
政治学
作者
Hélène Gouze,Marina Backhaus,Péter Bálint,Andrea Di Matteo,Walter Grassi,Annamaria Iagnocco,Esperanza Naredo,Richard J. Wakefield,Mikkel Østergaard,Paul Emery,Maria Antonietta D’Agostino
标识
DOI:10.3899/jrheum.2023-0091
摘要
Objective In 2015, the European Alliance of Associations for Rheumatology (EULAR) published recommendations for the use of imaging for the diagnosis and management of spondyloarthritis (SpA) in clinical practice. These recommendations included the use of ultrasound (US) in patients with psoriatic arthritis (PsA), but the management was not clearly distinguished from that of SpA. We aimed to systematically review the literature on the role of US for the management of PsA, and to propose pragmatic algorithms for its use in clinical practice. Methods A group of 10 rheumatologists, experienced in imaging and musculoskeletal US, met with the objectives of formulating key questions for a systematic literature review (SLR), appraising the available evidence, and then proposing algorithms on the application of US in suspected or established PsA, based on both the literature and experts’ opinions following a Delphi process. Results The SLR included 120 articles, most of which focused on the diagnostic process. The elevated number of articles retrieved suggests the interest of rheumatologists in using US in the management of PsA. After a consensual discussion on literature data and expert opinion, the following 3 algorithms were developed to be used in practical situations: suspicion of PsA, management of PsA with good clinical response, and management of PsA with insufficient clinical response. Conclusion The SLR showed interest by rheumatologists in using US to objectively evaluate PsA for diagnosis and management. We propose 3 practical algorithms to guide its use in the clinical management of patients, from diagnosis to the assessment of treatment response. Further studies are needed to define remission and to assess the ability of US to predict disease severity.
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