Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Examining the Relationships Between Air Pollutants and the Incidence of Acute Aortic Dissection with Electronic Medical Data in a Moderately Polluted Area of Northwest China

Bibliographic Data

ID13774831
AuthorsQingnan Wang (0000-0002-4373-8000, Xi’an Jiaotong University, Xi’an, China), Wei Huang (0000-0002-5095-3972, Xi’an Jiaotong University, Xi’an, China), Bo Kou (0000-0002-5727-9124, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, corresponding author)
Year2021
Volume58
Pages469580211065691-469580211065691
Publication date2021-01-01
Open AccessYes
TypeARTICLE
VenueINQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL)
Journal identifiersISSN: 0046-9580 • E-ISSN: 1945-7243
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/00469580211065691
PMID34961361
OpenAlexW4200490644
LanguageEN
Citations received1
References cited24

This paper explored whether air pollutants influenced acute aortic dissection (AAD) incidence in a moderately polluted area. A total of 494 AAD patients' data from 2013 to 2016 were analyzed. The results showed that AAD had the strongest associations with P M 10 , S O 2 , N O 2 , C O , and O 3 on the day before an AAD incident (lag1) and with P M 2.5 two days before an incident (lag2) in single-pollutant model. In the three-pollutant model, P M 10 was associated with the highest risk of adverse effects (RR = 1.37, 95% CI: 1.22, 1.53), whereas P M 2.5 was associated with the lowest risk (RR = .83, 95% CI: .79, .88). Both P M 2.5 and P M 10 were affected by season, and S O 2 was significantly different between heating and non-heating seasons as well. This study revealed significant associations between short-term P M 2.5 , P M 10 , and S O 2 exposure and daily AAD incidence, showing that P M 10 and S O 2 were strong predictors of AAD incidence in a moderately polluted area

Air pollutants · Air pollution · Aorta · Aortic dissection · China · Combinatorics · Geography · Geometry · Incidence (geometry · Pollutant · Sociology · Statistics · Air Quality and Health Impacts · Chemistry · Climate Change and Health Impacts · Demography · Global Health Care Issues · Internal Medicine · Mathematics · Medicine

  • Risk assessment and disease burden of extreme precipitation on hospitalizations for acute aortic dissection in a subtropical coastal Chinese city

    Open Access•Yanhu Ji, Jianping Xiong et al.•Frontiers in Public Health•2023

  • Depression and cardiovascular disease in elderly

    Open Access•Yaxin Zhang, Yujing Chen et al.•Journal of Clinical Neuroscience•2018

  • Modeling exposure–lag–response associations with distributed lag non‐linear models

    Open Access•Antonio Gasparrini•Statistics in Medicine•2014

  • Association between Airborne Fine Particulate Matter and Residents’ Cardiovascular Diseases, Ischemic Heart Disease and Cerebral Vascular Disease Mortality in Areas with Lighter Air Pollution in China

    Open Access•Junfang Cai, Shuyuan Yu et al.•International Journal of…•2018

Citations per year0.33
Citation span2023 - 2023 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae