Tobacco smoking and risk for idiopathic pulmonary fibrosis: a prospective cohort study in UK Biobank

医学 内科学 特发性肺纤维化 优势比 类风湿性关节炎 人口 前瞻性队列研究 病因学 混合性结缔组织病 队列 皮肤病科 环境卫生
作者
Vanesa Bellou,Lazaros Belbasis,Athanasios Konstantinidis,Εvangelos Εvangelou
标识
DOI:10.1183/1393003.congress-2017.pa4887
摘要

Introduction: Idiopathic pulmonary fibrosis (IPF) is a disease with unknown etiology. Smoking is considered a potential risk factor, but only a limited number of studies is available. Aims and objectives: Our objective was to examine the association between tobacco smoking and IPF in a large prospective cohort study. Methods: We used data from UK Biobank, a large population-based study of more than 500,000 individuals. We defined IPF cases as patients with an ICD10 diagnosis of J84.1. We excluded cases with a diagnosis of connective tissue disease (ie rheumatoid arthritis, systematic lupus erythematosus, polyarteritis nodosa, necrotizing vasculopathies, dermatopolymyositis, scleroderma, Sjogren syndrome and sarcoidosis) and cases with an ICD10 diagnosis of J60 – J70 (ie lung diseases due to external agents). We ran logistic regression models for tobacco smoking (ever versus never smokers) and maternal smoking with risk for IPF. The estimates were adjusted for sex and age. Results: A total of 1,275 cases with an ICD10 code of J84.1 were identified. After exclusion of cases with a connective tissue disease and lung disease due to external agents, 685 cases of IPF and 501,362 controls were identified. The association of ever smoking with risk for IPF presented an odds ratio (OR) of 1.79 (95% confidence interval [CI], 1.50-2.14; P= 4 × 10−10). We also found a novel association between maternal smoking and risk for IPF with an OR of 1.41 (95% CI, 1.19-1.68; P= 1 × 10−4). In a multivariable model combining the two factors, the effect estimates and the level of significance remained unchanged. Conclusions: Tobacco smoking and maternal smoking are strong and independent risk factors for IPF.

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
刚刚
123完成签到,获得积分10
1秒前
热情寒珊完成签到,获得积分20
2秒前
2秒前
gege完成签到,获得积分10
2秒前
3秒前
jhb发布了新的文献求助10
3秒前
科研通AI6.2应助zhaozhenyang采纳,获得10
3秒前
3秒前
张欢欢完成签到,获得积分10
4秒前
dde发布了新的文献求助10
5秒前
6秒前
6秒前
7秒前
潜心如水发布了新的文献求助10
8秒前
8秒前
在水一方应助CC采纳,获得10
9秒前
Altain发布了新的文献求助20
9秒前
Jasper应助小狮子采纳,获得10
9秒前
frankyeah完成签到,获得积分10
10秒前
Yiming发布了新的文献求助10
10秒前
科研通AI6.2应助xxxxxx采纳,获得10
10秒前
mwzz233发布了新的文献求助10
11秒前
小二郎应助Melooo3采纳,获得10
12秒前
一颗梨发布了新的文献求助10
12秒前
lishun发布了新的文献求助10
12秒前
小满完成签到 ,获得积分10
13秒前
14秒前
14秒前
平淡的小璇完成签到,获得积分10
16秒前
16秒前
16秒前
muguang67完成签到,获得积分10
16秒前
今后应助兵王采纳,获得10
16秒前
17秒前
Lihongye发布了新的文献求助30
18秒前
菠菜应助michael采纳,获得10
18秒前
19秒前
蔡小鸡发布了新的文献求助10
19秒前
大鱼完成签到,获得积分10
19秒前
高分求助中
Les chinois de jakarta: temples et vie collective 1000
Autoparametric Resonance in Mechanical Systems 1000
Social Psychology 800
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7648975
求助须知:如何正确求助?哪些是违规求助? 9221538
关于积分的说明 19795546
捐赠科研通 7214823
什么是DOI,文献DOI怎么找? 3278003
关于科研通互助平台的介绍 2438986
邀请新用户注册赠送积分活动 2276375