Skip to main content

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

Publication ,  Journal Article
Cai, M; Zhang, S; Lin, X; Qian, Z; McMillin, SE; Yang, Y; Zhang, Z; Pan, J; Lin, H
Published in: Neurology
June 2022

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.

Duke Scholars

Published In

Neurology

DOI

EISSN

1526-632X

ISSN

0028-3878

Publication Date

June 2022

Volume

98

Issue

24

Start / End Page

e2474 / e2486

Related Subject Headings

  • Neurology & Neurosurgery
  • 3209 Neurosciences
  • 3202 Clinical sciences
  • 1702 Cognitive Sciences
  • 1109 Neurosciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cai, M., Zhang, S., Lin, X., Qian, Z., McMillin, S. E., Yang, Y., … Lin, H. (2022). Association of Ambient Particulate Matter Pollution of Different Sizes With In-Hospital Case Fatality Among Stroke Patients in China. Neurology, 98(24), e2474–e2486. https://doi.org/10.1212/wnl.0000000000200546
Cai, Miao, Shiyu Zhang, Xiaojun Lin, Zhengmin Qian, Stephen Edward McMillin, Yin Yang, Zilong Zhang, Jay Pan, and Hualiang Lin. “Association of Ambient Particulate Matter Pollution of Different Sizes With In-Hospital Case Fatality Among Stroke Patients in China.Neurology 98, no. 24 (June 2022): e2474–86. https://doi.org/10.1212/wnl.0000000000200546.
Cai M, Zhang S, Lin X, Qian Z, McMillin SE, Yang Y, et al. Association of Ambient Particulate Matter Pollution of Different Sizes With In-Hospital Case Fatality Among Stroke Patients in China. Neurology. 2022 Jun;98(24):e2474–86.
Cai, Miao, et al. “Association of Ambient Particulate Matter Pollution of Different Sizes With In-Hospital Case Fatality Among Stroke Patients in China.Neurology, vol. 98, no. 24, June 2022, pp. e2474–86. Epmc, doi:10.1212/wnl.0000000000200546.
Cai M, Zhang S, Lin X, Qian Z, McMillin SE, Yang Y, Zhang Z, Pan J, Lin H. Association of Ambient Particulate Matter Pollution of Different Sizes With In-Hospital Case Fatality Among Stroke Patients in China. Neurology. 2022 Jun;98(24):e2474–e2486.

Published In

Neurology

DOI

EISSN

1526-632X

ISSN

0028-3878

Publication Date

June 2022

Volume

98

Issue

24

Start / End Page

e2474 / e2486

Related Subject Headings

  • Neurology & Neurosurgery
  • 3209 Neurosciences
  • 3202 Clinical sciences
  • 1702 Cognitive Sciences
  • 1109 Neurosciences
  • 1103 Clinical Sciences