Short-term associations between ambient PM₁, PM_2.5, and PM₁₀ and hospital admissions, length of hospital stays, and hospital expenses for patients with cardiovascular diseases in rural areas of Fuyang, East China

ABSTRACT

Evidence on the impacts of PM1, PM2.5, and PM10 on the hospital admissions, length of hospital stays (LOS), and hospital expenses among patients with cardiovascular disease (CVD) is still limited in China, especially in rural areas. This study was performed in eight counties of Fuyang from 1 January 2015 to 30 June 2017. We use a three-stage time-series analysis to explore the effects of short-term exposure to PM1, PM2.5, and PM10 on hospital admissions, LOS, and hospital expenses for CVDs. An increment of 10 ug/m3 in PM1, PM2.5, and PM10 corresponded to an increment of 1.82% (95% CI: 1.34, 2.30), 0.96% (95% CI: 0.44, 1.48), and 0.79% (95% CI: 0.63%, 0.95%) in CVD hospital admissions, respectively. We observed that daily concentrations of PMs were associated with an increase in hospital admissions, LOS, and expenses for CVDs. Sustained endeavors are required to reduce air pollution so as to attenuate disease burdens from CVDs.

KEYWORDS:

• Particulate matter
• hospital admissions
• length of hospital stay
• hospital expenses
• cardiovascular disease

Acknowledgements

We appreciate the efforts of all the researchers whose articles were included in this study.

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Authors contributions

Teng-fei Dong: Writing-original draft, Formal analysis, Methodology, Validation. Wan-qi Sun: Writing-original draft, Formal analysis, Validation. Jing Wei: Writing-original draft, Formal analysis, Validation, Resources. Xing-yang Li: Data curation, Formal analysis, Validation. Liang Sun: Data curation, Validation, Resources. Huai‑biao Li: Data curation, Validation, Resources. Ling-li Liu: Data curation, Validation. Yuan-Wang: Methodology, Software. Hong-li Wang: Data curation, Validation. Lin-sheng Yang: Conceptualization, Data curation, Methodology, Writing – review & editing, Validation. Zhen-qiu Zha: Data curation, Writing – review & editing, Methodology, Validation, Funding acquisition.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/09603123.2024.2380353.

Additional information

Funding

This work was supported by the Health Research Program of Anhui [AHWJ2022a022], [AHWJ2023A10004], and Specialized in Translational Medicine Research of Anhui Province [202204295107020058].