Suppr超能文献

系统性硬化症中间质性肺疾病的识别与管理:基于证据的欧洲共识声明

The identification and management of interstitial lung disease in systemic sclerosis: evidence-based European consensus statements.

作者信息

Hoffmann-Vold Anna-Maria, Maher Toby M, Philpot Edward E, Ashrafzadeh Ali, Barake Rafic, Barsotti Simone, Bruni Cosimo, Carducci Paolo, Carreira Patricia E, Castellví Ivan, Del Galdo Francesco, Distler Jörg H W, Foeldvari Ivan, Fraticelli Paolo, George Peter M, Griffiths Bridget, Guillén-Del-Castillo Alfredo, Hamid Abdul Monem, Horváth Rudolf, Hughes Michael, Kreuter Michael, Moazedi-Fuerst Florentine, Olas Jacek, Paul Suman, Rotondo Cinzia, Rubio-Rivas Manuel, Seferian Andrei, Tomčík Michal, Uzunhan Yurdagül, Walker Ulrich A, Więsik-Szewczyk Ewa, Distler Oliver

机构信息

Department of Rheumatology, Oslo University Hospital, Oslo, Norway.

National Heart and Lung Institute, Imperial College London, London, UK; Interstitial Lung Disease Unit, Royal Brompton Hospital, London, UK.

出版信息

Lancet Rheumatol. 2020 Feb;2(2):e71-e83. doi: 10.1016/S2665-9913(19)30144-4. Epub 2020 Jan 14.

Abstract

BACKGROUND

Systemic sclerosis-associated interstitial lung disease (ILD) carries a high mortality risk; expert guidance is required to aid early recognition and treatment. We aimed to develop the first expert consensus and define an algorithm for the identification and management of the condition through application of well established methods.

METHODS

Evidence-based consensus statements for systemic sclerosis-associated ILD management were established for six domains (ie, risk factors, screening, diagnosis and severity assessment, treatment initiation and options, disease progression, and treatment escalation) using a modified Delphi process based on a systematic literature analysis. A panel of 27 Europe-based pulmonologists, rheumatologists, and internists with expertise in systemic sclerosis-associated ILD participated in three rounds of online surveys, a face-to-face discussion, and a WebEx meeting, followed by two supplemental Delphi rounds, to establish consensus and define a management algorithm. Consensus was considered achieved if at least 80% of panellists indicated agreement or disagreement.

FINDINGS

Between July 1, 2018, and Aug 27, 2019, consensus agreement was reached for 52 primary statements and six supplemental statements across six domains of management, and an algorithm was defined for clinical practice use. The agreed statements most important for clinical use included: all patients with systemic sclerosis should be screened for systemic sclerosis-associated ILD using high-resolution CT; high-resolution CT is the primary tool for diagnosing ILD in systemic sclerosis; pulmonary function tests support screening and diagnosis; systemic sclerosis-associated ILD severity should be measured with more than one indicator; it is appropriate to treat all severe cases; no pharmacological treatment is an option for some patients; follow-up assessments enable identification of disease progression; progression pace, alongside disease severity, drives decisions to escalate treatment.

INTERPRETATION

Through a robust modified Delphi process developed by a diverse panel of experts, the first evidence-based consensus statements were established on guidance for the identification and medical management of systemic sclerosis-associated ILD.

FUNDING

An unrestricted grant from Boehringer Ingelheim International.

摘要

背景

系统性硬化症相关间质性肺疾病(ILD)具有较高的死亡风险;需要专家指导以帮助早期识别和治疗。我们旨在制定首个专家共识,并通过应用成熟方法定义一种用于识别和管理该疾病的算法。

方法

基于系统文献分析,采用改良德尔菲法,针对六个领域(即危险因素、筛查、诊断与严重程度评估、治疗启动与选择、疾病进展以及治疗升级)制定了系统性硬化症相关ILD管理的循证共识声明。由27名来自欧洲、在系统性硬化症相关ILD方面具有专业知识的肺病学家、风湿病学家和内科医生组成的小组参与了三轮在线调查、一次面对面讨论和一次网络会议,随后又进行了两轮补充德尔菲调查,以达成共识并定义一种管理算法。如果至少80%的小组成员表示同意或不同意,则认为达成了共识。

结果

在2018年7月1日至2019年8月27日期间,就管理的六个领域中的52条主要声明和6条补充声明达成了共识,并定义了一种用于临床实践的算法。对临床应用最重要的已达成共识的声明包括:所有系统性硬化症患者均应使用高分辨率CT筛查系统性硬化症相关ILD;高分辨率CT是诊断系统性硬化症中ILD的主要工具;肺功能测试有助于筛查和诊断;系统性硬化症相关ILD的严重程度应以多种指标进行衡量;治疗所有重症病例是合适的;对于某些患者,不进行药物治疗也是一种选择;随访评估有助于识别疾病进展;进展速度与疾病严重程度共同驱动治疗升级的决策。

解读

通过由不同专家小组制定的强有力的改良德尔菲法,就系统性硬化症相关ILD的识别和医学管理指南建立了首个循证共识声明。

资金来源

勃林格殷格翰国际公司的无限制赠款。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验