Fluctuating risk of acute kidney injury-related mortality for four weeks after exposure to air pollution: A multi-country time-series study in 6 countries.

Acute kidney injury Air pollution Lag structure Mortality

Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
02 Dec 2023
Historique:
received: 29 10 2023
accepted: 01 12 2023
medline: 8 12 2023
pubmed: 8 12 2023
entrez: 7 12 2023
Statut: aheadofprint

Résumé

Recent studies have reported that air pollution is related to kidney diseases. However, the global evidence on the risk of death from acute kidney injury (AKI) owing to air pollution is limited. Therefore, we investigated the association between short-term exposure to air pollution-particulate matter ≤ 2.5 μm (PM This study included 41,379 AKI-related deaths in 136 locations in six countries during 1987-2018. A novel case time-series design was applied to each air pollutant during 0-28 lag days to estimate the association between air pollution and AKI-related deaths. Moreover, we calculated AKI deaths attributable to non-compliance with the World Health Organization (WHO) air quality guidelines. The relative risks (95% confidence interval) of AKI-related deaths are 1.052 (1.003, 1.103), 1.022 (0.994, 1.050), and 1.022 (0.982, 1.063) for 5, 10, and 10 µg/m This study provides evidence that public health policies to reduce air pollution may alleviate the burden of death from AKI and suggests the need to investigate the several pathways between air pollution and AKI death.

Sections du résumé

BACKGROUND BACKGROUND
Recent studies have reported that air pollution is related to kidney diseases. However, the global evidence on the risk of death from acute kidney injury (AKI) owing to air pollution is limited. Therefore, we investigated the association between short-term exposure to air pollution-particulate matter ≤ 2.5 μm (PM
METHODS METHODS
This study included 41,379 AKI-related deaths in 136 locations in six countries during 1987-2018. A novel case time-series design was applied to each air pollutant during 0-28 lag days to estimate the association between air pollution and AKI-related deaths. Moreover, we calculated AKI deaths attributable to non-compliance with the World Health Organization (WHO) air quality guidelines.
RESULTS RESULTS
The relative risks (95% confidence interval) of AKI-related deaths are 1.052 (1.003, 1.103), 1.022 (0.994, 1.050), and 1.022 (0.982, 1.063) for 5, 10, and 10 µg/m
CONCLUSIONS CONCLUSIONS
This study provides evidence that public health policies to reduce air pollution may alleviate the burden of death from AKI and suggests the need to investigate the several pathways between air pollution and AKI death.

Identifiants

pubmed: 38061245
pii: S0160-4120(23)00640-2
doi: 10.1016/j.envint.2023.108367
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108367

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: [Youngrin Kwag reports administrative support was provided by Korea Ministry of Science and ICT. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper].

Auteurs

Jieun Min (J)

Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea; Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.

Duk-Hee Kang (DH)

Division of Nephrology, Department of Internal Medicine, Ewha Womans University School of Medicine, Ewha Medical Research Center, Seoul, Republic of Korea.

Cinoo Kang (C)

Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.

Michelle L Bell (ML)

Yale School of the Environment, Yale University, New Haven, CT, USA.

Ho Kim (H)

Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.

Juyeon Yang (J)

Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea.

Antonio Gasparrini (A)

Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Eric Lavigne (E)

School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.

Masahiro Hashizume (M)

Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Yoonhee Kim (Y)

Department of Global Environmental Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.

Chris Fook Sheng Ng (C)

School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.

Yasushi Honda (Y)

Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan.

Susana das Neves Pereira da Silva (S)

Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal.

Joana Madureira (J)

Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal; EPIUnit-Institute of Public Health, University of Porto, Porto, Portugal; Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal.

Yue Leon Guo (Y)

Environmental and Occupational Medicine, National Taiwan University (NTU) College of Medicine and NTU Hospital, Taipei, Taiwan.

Shih-Chun Pan (SC)

National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan.

Ben Armstrong (B)

Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Francesco Sera (F)

Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence, Florence, Italy.

Pierre Masselot (P)

Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Joel Schwartz (J)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Ana Maria Vicedo-Cabrera (A)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Oeschger Center for Climate Change Research, University of Bern, Switzerland.

Jung Pyo Lee (J)

Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

Ziyad Al-Aly (Z)

Research and Development Service, VA Saint Louis Health Care System, Saint Louis, MO, USA.

Jung Won Lee (J)

Department of Pediatrics, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.

Youngrin Kwag (Y)

Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.

Eunhee Ha (E)

Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea; Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea; Institute of Ewha-SCL for Environmental Health (IESEH), Ewha Womans University College of Medicine, Seoul, Republic of Korea; Department of Medical Science, Ewha Womans University School of Medicine and Ewha Medical Research Institute, Seoul, Republic of Korea. Electronic address: eunheeha@ewha.ac.kr.

Whanhee Lee (W)

School of Biomedical Convergence Engineering, College of Information and Biomedical Engineering, Pusan National University, Yangsan, Republic of Korea. Electronic address: whanhee.lee@pusan.ac.kr.

Classifications MeSH