Prognostic biomarkers for the development of progressive pulmonary fibrosis in hypersensitivity pneumonitis: a systematic review

医学 过敏性肺炎 肺纤维化 纤维化 特发性肺纤维化 病理 肺炎 免疫学 内科学
作者
Iris A Simons,Daniël A. Korevaar,Nerissa P. Denswil,Anke H. Maitland‐van der Zee,Esther J. Nossent,JanWillem Duitman
出处
期刊:European Respiratory Review [European Respiratory Society]
卷期号:34 (176): 240282-240282
标识
DOI:10.1183/16000617.0282-2024
摘要

Background In fibrotic hypersensitivity pneumonitis (fHP) an ongoing immune response triggers pulmonary inflammation and concurrent fibrotic pathways, leading to irreversible disease progression. Patients with the progressive pulmonary fibrosis (PPF) phenotype have a poor prognosis. Reliable identification of biomarkers to predict PPF could aid clinicians in determining disease prognosis and optimising patient care. We aimed to identify prognostic biomarkers for the PPF phenotype in fHP using existing literature. Methods We performed a systematic review (PROSPERO, CRD42024537599) and searched Medline, Embase and Scopus from inception to 10 April 2024. We included studies that evaluated the ability of biomarkers measured in blood or bronchoalveolar lavage fluid (BALF) to predict disease progression in adult patients with fHP. Study quality was assessed using the Quality Assessment of Prognostic Accuracy Studies tool. Results Of the 3027 articles initially identified, 31 met the inclusion criteria, encompassing a total of 3766 fHP patients. 65 biomarkers were identified; however, most were evaluated in only one (n=49) or two (n=6) studies. The most frequently evaluated biomarkers were BALF cellular composition, serum Krebs von den Lungen-6 and serum surfactant protein D levels. Survival was the most commonly assessed outcome, followed by disease progression and acute exacerbation. None of the biomarkers reliably predicted the prognosis. Conclusions A large number of biomarkers have been evaluated for their prognostic ability in fHP, but none of them appear to be consistently associated with the PPF phenotype. Heterogeneity across studies in terms of methods, disease definitions, outcomes and measurement time points complicates the identification of a marker with strong potential, and this situation should be improved in the clinical field.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
tly驳回了慕青应助
2秒前
辛勤的蝴蝶完成签到,获得积分10
2秒前
re发布了新的文献求助10
2秒前
荔枝吖发布了新的文献求助10
3秒前
忆韵完成签到,获得积分10
5秒前
可爱的函函应助七叶花开采纳,获得10
5秒前
疯狂的月亮完成签到,获得积分10
5秒前
霸气的思柔完成签到,获得积分10
6秒前
桐桐应助科研通管家采纳,获得10
7秒前
7秒前
英俊的铭应助科研通管家采纳,获得30
7秒前
7秒前
8秒前
李健应助科研通管家采纳,获得10
8秒前
许威完成签到,获得积分10
8秒前
9秒前
10秒前
SHY完成签到,获得积分20
12秒前
13秒前
荔枝吖完成签到,获得积分10
13秒前
suozi发布了新的文献求助40
14秒前
wjw发布了新的文献求助10
14秒前
15秒前
re完成签到,获得积分10
15秒前
17秒前
彤彤发布了新的文献求助10
18秒前
科目三应助ran采纳,获得10
21秒前
李爱国应助重要涔雨采纳,获得10
22秒前
Luna发布了新的文献求助10
23秒前
顺利一德发布了新的文献求助10
23秒前
Lemon完成签到 ,获得积分20
25秒前
木子完成签到,获得积分10
25秒前
小美完成签到 ,获得积分10
26秒前
zxf完成签到,获得积分10
28秒前
29秒前
31秒前
shain完成签到,获得积分10
34秒前
kfwxz2022发布了新的文献求助10
36秒前
彭于晏应助顺利一德采纳,获得10
36秒前
37秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
Novel Preparation of Chitin Nanocrystals by H2SO4 and H3PO4 Hydrolysis Followed by High-Pressure Water Jet Treatments 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4003451
求助须知:如何正确求助?哪些是违规求助? 3542853
关于积分的说明 11285536
捐赠科研通 3279982
什么是DOI,文献DOI怎么找? 1808825
邀请新用户注册赠送积分活动 884961
科研通“疑难数据库(出版商)”最低求助积分说明 810568