4946The effects of climate and air pollutants on heart failure hospitalizations and mortality (CLIMATE-HF Study)

Abstract Background The data on the effects of air pollution on acute heart failure (HF) in tropical countries is limited. Particulate matter air pollution in Thailand is comparably higher than in other countries in Southeast Asia. The existence of climate and air pollution seasonal variation in our...

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Veröffentlicht in:European heart journal 2019-10, Vol.40 (Supplement_1)
Hauptverfasser: Ngampongpan, W, Yingchonchareon, T, Aekplakorn, W, Boonhat, H, Pattanaprateep, O, Sritara, P, Yamwong, S, Vathesatogkit, P, Janwanishstaporn, S
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Sprache:eng
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Zusammenfassung:Abstract Background The data on the effects of air pollution on acute heart failure (HF) in tropical countries is limited. Particulate matter air pollution in Thailand is comparably higher than in other countries in Southeast Asia. The existence of climate and air pollution seasonal variation in our country has never been studied before. Purposes We sought to explore the effects of air pollution on HF hospitalizations and in-hospital mortality, including the effects of seasonal variation on HF negative outcomes and the association between air pollutants and hospitalizations of acute heart failure across geographical areas. Methods We undertook a retrospective analysis of longitudinal collected clinical data. The Data from 258,539 patients with primary HF admissions and daily pollutant parameters between 2011 and 2015 were collected. Data in daily pollutant parameters including respirable suspended particulates with diameter ≤10 μm (PM10), total suspended particles, ozone, carbon monoxide, nitric oxide, sulfur dioxide, air quality index were obtained. Generalized additive regression models and non-linear distributed lag functions were performed. Results 440,988 hospital admissions occurred with strong seasonal variation and peaked in winter. Particulate matter ≤10 μm (PM10) 2 days prior to admission date was associated with relative risk (RR) (95% confidence interval (CI)) of 1.02 (1.00–1.04, p-value
ISSN:0195-668X
1522-9645
DOI:10.1093/eurheartj/ehz746.0016