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Association between long-term PM2.5 exposure and risk of Kawasaki disease in children: A nationwide longitudinal cohort study.

Authors :
Kim, Hanna
Jang, Hyemin
Lee, Whanhee
Oh, Jongmin
Lee, Ji-Young
Kim, Min-ho
Lee, Jung Won
Kim, Hae Soon
Lee, Ji Hyen
Ha, Eun-Hee
Source :
Environmental Research. Mar2024, Vol. 244, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Based on previous studies suggesting air pollution as a potential risk factor for Kawasaki Disease (KD), we examined the association of long-term exposure to childhood fine particulate matter (PM 2.5) with the risk of KD. We used National Health Insurance Service–National Sample Cohort data from 2002 to 2019, which included beneficiaries aged 0 years at enrollment and followed-up until the onset of KD or age 5 years. The onset of KD was defined as the first hospital visit record with a primary diagnostic code of M30.3, based on the 10th revision of the International Classification of Diseases, and with an intravenous immunoglobulin (IVIG) prescription. We assigned PM 2.5 concentrations to 226 districts, based on mean annual predictions from a machine learning-based ensemble prediction model. We performed Cox proportional-hazards modeling with time-varying exposures and confounders. We identified 134,634 individuals aged five or less at enrollment and, of these, 1220 individuals who had a KD onset and an IVIG prescription during study period. The average annual concentration of PM 2.5 exposed to the entire cohort was 28.2 μg/m³ (Standard Deviation 2.9). For each 5 μg/m³ increase in annual PM 2.5 concentration, the hazard ratio of KD was 1.21 (95% CI 1.05–1.39). In this nationwide, population-based, cohort study, long-term childhood exposure to PM 2.5 was associated with an increased incidence of KD in children. The study highlights plausible mechanisms for the association between PM 2.5 and KD, but further studies are needed to confirm our findings. • This study assessed the epidemiologic relationship between long-term exposure to PM 2.5 and the risk of Kawasaki disease (KD). • This study used a machine learning-based air pollution prediction ensemble model for PM 2.5. • Early-life, long-term PM 2.5 exposure was significantly associated with an increased risk of KD. • PM 2.5 affects the risk of KD differently in subgroups, with a more pronounced effect in girls and urban dwellers. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00139351
Volume :
244
Database :
Academic Search Index
Journal :
Environmental Research
Publication Type :
Academic Journal
Accession number :
175455294
Full Text :
https://doi.org/10.1016/j.envres.2023.117823