High alveolar nitric oxide is associated with steeper lung function decline in foundry workers

呼出气一氧化氮 铸造厂 医学 肺功能 肺活量 内科学 胃肠病学 扩散能力 冶金 材料科学
作者
Kirsi Koskela,Riitta Sauni,Panu Oksa,Jukka Uitti,Eeva Moilanen,Lauri Lehtimäki
出处
期刊:Journal of Breath Research [IOP Publishing]
卷期号:15 (3): 036002-036002 被引量:1
标识
DOI:10.1088/1752-7163/abf272
摘要

Occupational dust exposure induces inflammatory responses that often precede the onset of clinical disease. Inflammation in the peripheral part of the lung can be demonstrated by measuring the alveolar NO concentration (CANO) in exhaled breath. The aim of the study was to assess whether cumulative dust exposure affects the change in CANO during follow-up and whether baseline CANO can predict an impairment in lung function during follow-up in foundry workers. We examined 74 dust-exposed and 42 nonexposed foundry workers and measured CANO and lung function at baseline and after 7 years of follow-up. An increase in CANO during the follow-up period was positively associated with cumulative dust exposure in foundry work (p= 0.035). Furthermore, a higher baseline CANO was associated with an accelerated decline in the forced vital capacity (FVC) during the follow-up period (absolute decrease in FVCp= 0.021, relative decrease in FVCp= 0.017). Higher cumulative dust exposure in foundry work is associated with a greater increase in CANO during follow-up, suggesting ongoing pulmonary inflammation in these subjects. Importantly, a high baseline CANO is associated with an accelerated decline in lung function, suggesting that CANO measurements might serve as a screening tool for high-risk workers.

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
晴天完成签到 ,获得积分10
刚刚
1秒前
1秒前
香蕉觅云应助asilamu采纳,获得10
3秒前
吃西瓜皮完成签到,获得积分10
3秒前
上官若男应助yy采纳,获得10
3秒前
AUMS完成签到,获得积分10
4秒前
自由的奎发布了新的文献求助10
4秒前
5秒前
0x3f完成签到 ,获得积分10
5秒前
5秒前
偶然完成签到,获得积分10
5秒前
丁昆发布了新的文献求助20
6秒前
搜集达人应助这里是阿龙采纳,获得10
7秒前
汉堡包应助LHD201520采纳,获得10
7秒前
8秒前
9秒前
烟花应助Gcheai_6采纳,获得10
9秒前
田园发布了新的文献求助10
10秒前
青年才俊发布了新的文献求助30
10秒前
温暖天川关注了科研通微信公众号
10秒前
665221发布了新的文献求助10
10秒前
10秒前
11秒前
万能图书馆应助你好采纳,获得10
11秒前
田様应助清新的春天采纳,获得10
12秒前
无花果应助ZL采纳,获得10
13秒前
梦梦发布了新的文献求助10
13秒前
665221完成签到,获得积分20
15秒前
小曾科研顺利完成签到 ,获得积分10
16秒前
16秒前
16秒前
糖糖发布了新的文献求助10
16秒前
SciGPT应助蜘蛛侠采纳,获得30
16秒前
徐六硕发布了新的文献求助10
16秒前
yy发布了新的文献求助10
17秒前
17秒前
18秒前
18秒前
Gcheai_6完成签到,获得积分20
19秒前
高分求助中
(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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6024707
求助须知:如何正确求助?哪些是违规求助? 7657935
关于积分的说明 16177086
捐赠科研通 5173098
什么是DOI,文献DOI怎么找? 2767934
邀请新用户注册赠送积分活动 1751347
关于科研通互助平台的介绍 1637555