Mortality surrogates in combined pulmonary fibrosis and emphysema

肺气肿 医学 内科学 肺纤维化 心脏病学 肺病 纤维化 重症监护医学
作者
An Zhao,Eyjólfur Gudmundsson,Nesrin Moğulkoç,Coline van Moorsel,Tamera J. Corte,Pardeep Vasudev,Chiara Romei,Robert Chapman,Tim Wallis,Emma Denneny,Tinne Goos,Recep Savaş,Asia Ahmed,Christopher J. Brereton,Hendrik W. van Es,Helen E. Jo,Annalisa De Liperi,Mark Duncan,Katarina Pontoppidan,Laurens J. De Sadeleer,Frouke van Beek,Joseph Barnett,Gary Cross,Alex Procter,Marcel Veltkamp,Peter Hopkins,Yuben Moodley,Alessandro Taliani,Magali N. Taylor,Stijn E. Verleden,Laura Tavanti,Marie Vermant,Arjun Nair,Iain Stewart,Sam M. Janes,Alexandra L. Young,David Barber,Daniel C. Alexander,Joanna C. Porter,Athol U. Wells,Mark G. Jones,Wim Wuyts,Joseph Jacob
出处
期刊:The European respiratory journal [European Respiratory Society]
卷期号:63 (4): 2300127-2300127 被引量:4
标识
DOI:10.1183/13993003.00127-2023
摘要

Background Idiopathic pulmonary fibrosis (IPF) with coexistent emphysema, termed combined pulmonary fibrosis and emphysema (CPFE) may associate with reduced forced vital capacity (FVC) declines compared to non-CPFE IPF patients. We examined associations between mortality and functional measures of disease progression in two IPF cohorts. Methods Visual emphysema presence (>0% emphysema) scored on computed tomography identified CPFE patients (CPFE/non-CPFE: derivation cohort n=317/n=183, replication cohort n=358/n=152), who were subgrouped using 10% or 15% visual emphysema thresholds, and an unsupervised machine-learning model considering emphysema and interstitial lung disease extents. Baseline characteristics, 1-year relative FVC and diffusing capacity of the lung for carbon monoxide ( D LCO ) decline (linear mixed-effects models), and their associations with mortality (multivariable Cox regression models) were compared across non-CPFE and CPFE subgroups. Results In both IPF cohorts, CPFE patients with ≥10% emphysema had a greater smoking history and lower baseline D LCO compared to CPFE patients with <10% emphysema. Using multivariable Cox regression analyses in patients with ≥10% emphysema, 1-year D LCO decline showed stronger mortality associations than 1-year FVC decline. Results were maintained in patients suitable for therapeutic IPF trials and in subjects subgrouped by ≥15% emphysema and using unsupervised machine learning. Importantly, the unsupervised machine-learning approach identified CPFE patients in whom FVC decline did not associate strongly with mortality. In non-CPFE IPF patients, 1-year FVC declines ≥5% and ≥10% showed strong mortality associations. Conclusion When assessing disease progression in IPF, D LCO decline should be considered in patients with ≥10% emphysema and a ≥5% 1-year relative FVC decline threshold considered in non-CPFE IPF patients.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
1秒前
2秒前
2秒前
zzs发布了新的文献求助10
3秒前
3秒前
艾伦发布了新的文献求助10
4秒前
5秒前
银古发布了新的文献求助10
5秒前
7秒前
SciGPT应助风笛采纳,获得10
7秒前
暖落发布了新的文献求助10
7秒前
可爱的函函应助xlli00采纳,获得10
7秒前
orange_hua发布了新的文献求助10
8秒前
科研通AI6.2应助西边的海采纳,获得10
8秒前
FashionBoy应助onion采纳,获得10
8秒前
丘比特应助gaoyang采纳,获得10
8秒前
9秒前
小P发布了新的文献求助10
9秒前
QAQ发布了新的文献求助10
9秒前
10秒前
科研通AI2S应助大白菜采纳,获得10
10秒前
1235完成签到,获得积分10
11秒前
银古完成签到,获得积分10
12秒前
IceT完成签到,获得积分10
12秒前
立即执行家完成签到,获得积分10
12秒前
14秒前
筋筋子发布了新的文献求助10
14秒前
生性不爱说话完成签到,获得积分10
15秒前
16秒前
走四方应助忧郁翠彤采纳,获得10
16秒前
科研通AI6.3应助有意义采纳,获得10
16秒前
白鹭发布了新的文献求助10
16秒前
QAQ完成签到,获得积分10
17秒前
非雨非晴发布了新的文献求助30
17秒前
单薄的画笔完成签到,获得积分10
18秒前
18秒前
椰椰豆沙应助温柔之槐采纳,获得10
18秒前
JHeart完成签到,获得积分10
18秒前
19秒前
深情安青应助科研通管家采纳,获得10
20秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
Matrix Methods in Data Mining and Pattern Recognition 510
Structural Geology: A Quantitative Introduction 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7217323
求助须知:如何正确求助?哪些是违规求助? 8848780
关于积分的说明 18673361
捐赠科研通 6873972
什么是DOI,文献DOI怎么找? 3185378
关于科研通互助平台的介绍 2347663
邀请新用户注册赠送积分活动 2159696