Association of Ambient Particulate Matter Pollution of Different Sizes With In-Hospital Case Fatality Among Stroke Patients in China

医学 优势比 气动直径 病死率 冲程(发动机) 逻辑回归 微粒 人口学 环境卫生 内科学 人口 生态学 机械工程 生物 工程类 社会学
作者
Miao Cai,Shiyu Zhang,Xiaojun Lin,Zhengmin Qian,Stephen Edward McMillin,Yin Yang,Zilong Zhang,Jay Pan,Hualiang Lin
出处
期刊:Neurology [Ovid Technologies (Wolters Kluwer)]
卷期号:98 (24) 被引量:44
标识
DOI:10.1212/wnl.0000000000200546
摘要

To characterize the association of ambient particulate matter (PM) pollution of different sizes (PM ≤1 µm in aerodynamic diameter [PM1], PM2.5, and PM10) with in-hospital case fatality among patients with stroke in China.We collected hospitalizations due to stroke in 4 provinces in China from 2013 to 2019. Seven-day and annual averages of PM prior to hospitalization were estimated using bilinear interpolation and residential addresses. Associations with in-hospital case fatality were estimated using random-effects logistic regression models. Potential reducible fraction and the number of fatalities attributed to PM were estimated using a counterfactual approach.Among 3,109,634 stroke hospitalizations (mean age 67.23 years [SD 12.22]; 1,765,644 [56.78%] male), we identified 32,140 in-hospital stroke fatalities (case fatality rate 1.03%). Each 10 µg/m3 increase in 7-day average (short-term) exposure to PM was associated with increased in-hospital case fatality: odds ratios (ORs) were 1.058 (95% CI 1.047-1.068) for PM1, 1.037 (95% CI 1.031-1.043) for PM2.5, and 1.025 (95% CI 1.021-1.029) for PM10. Similar but larger ORs were observed for annual averages (long-term): 1.240 (95% CI 1.217-1.265) for PM1, 1.105 (95% CI 1.094-1.116) for PM2.5, and 1.090 (95% CI 1.082-1.099) for PM10. In counterfactual analyses, PM10 was associated with the largest potential reducible fraction in in-hospital case fatality (10% [95% CI 8.3-11.7] for short-term exposure and 21.1% [19.1%-23%] for long-term exposure), followed by PM1 and PM2.5.PM pollution is a risk factor for in-hospital stroke-related deaths. Strategies that target reducing PM pollution may improve the health outcomes of patients with stroke.
最长约 10秒,即可获得该文献文件

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
邬傥完成签到,获得积分10
2秒前
tomato应助执着采纳,获得20
3秒前
大方嵩发布了新的文献求助10
3秒前
梓ccc完成签到,获得积分10
3秒前
3秒前
求助发布了新的文献求助10
4秒前
风雨1210发布了新的文献求助10
4秒前
4秒前
5秒前
小梁要加油完成签到,获得积分20
5秒前
Alpha发布了新的文献求助10
6秒前
刘鹏宇发布了新的文献求助10
7秒前
zhangscience完成签到,获得积分10
7秒前
可爱的函函应助若狂采纳,获得10
8秒前
小蘑菇应助阿美采纳,获得30
8秒前
科研通AI2S应助机智小虾米采纳,获得10
9秒前
充电宝应助Xx.采纳,获得10
10秒前
zhangscience发布了新的文献求助10
11秒前
深情安青应助大方嵩采纳,获得10
12秒前
英俊的铭应助大方嵩采纳,获得10
12秒前
李还好完成签到,获得积分10
13秒前
满意的柏柳完成签到,获得积分10
14秒前
15秒前
16秒前
16秒前
buno应助88采纳,获得10
16秒前
17秒前
三千世界完成签到,获得积分10
17秒前
17秒前
愉快的访旋完成签到,获得积分10
18秒前
Alpha完成签到,获得积分10
19秒前
大大发布了新的文献求助30
19秒前
翠翠发布了新的文献求助10
20秒前
半山发布了新的文献求助10
21秒前
21秒前
天天快乐应助CO2采纳,获得10
21秒前
隐形曼青应助junzilan采纳,获得10
22秒前
Dksido发布了新的文献求助10
22秒前
23秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808