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Short-term impact of extreme temperatures, relative humidity and air pollution on emergency hospital admissions due to kidney disease and kidney-related conditions in the Greater Madrid area (Spain).
- Source :
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The Science of the total environment [Sci Total Environ] 2023 Dec 10; Vol. 903, pp. 166646. Date of Electronic Publication: 2023 Aug 29. - Publication Year :
- 2023
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Abstract
- While some studies report a possible association between heat waves and kidney disease and kidney-related conditions, there still is no consistent scientific consensus on the matter or on the role played by other variables, such as air pollution and relative humidity. Ecological retrospective time series study 01-01-2013 to 31-12-2018). Dependent variables: daily emergency hospitalisations due to kidney disease (KD), acute kidney injury (AKI), lithiasis (L), dysnatraemia (DY) and hypovolaemia (HPV). Independent variables: maximum and minimum daily temperature (Tmax, Tmin, °C), and daily relative humidity (RH, %). Other variables were also calculated, such as the daily temperature for risk of kidney disease (Theat, °C) and low daily hazardous relative humidity (HRH%). As variables of air pollution, we used the daily mean concentrations of PM <subscript>10</subscript> , PM <subscript>2.5</subscript> , NO <subscript>2</subscript> and O <subscript>3</subscript> in μg/m3. Based on these, we then calculated their daily excesses over World Health Organisation (WHO) guideline levels ( <subscript>h</subscript> PM <subscript>10</subscript> , <subscript>h</subscript> PM <subscript>2.5</subscript> , <subscript>h</subscript> NO <subscript>2</subscript> and <subscript>h</subscript> O <subscript>3</subscript> respectively). Poisson family generalised linear models (GLMs) (link = log) were used to calculate relative risks (RRs), and attributable risks and attributable admissions. In the models, we controlled for the covariates included: seasonalities, trend, autoregressive component, day of the week, month and year. A statistically significant association was found between Theat and all the dependent variables analysed. The greatest AKI disease burden was attributable to Theat (2.2 % (1.7, 2.6) of attributable hospital admissions), followed by <subscript>h</subscript> NO <subscript>2</subscript> (1.7 % (0.9, 3.4)) and HRH (0.8 (0.6, 1.1)). In the case of hypovolaemia and dysnatraemia, the greatest disease burden again corresponded to Theat, with 6.9 % (6.2, 7.6) and 5.7 (4.8, 6.6) of attributable hospital admissions respectively. Episodes of extreme heat exacerbate daily emergency hospital admissions due to kidney disease and kidney-related conditions; and attributable risks are likewise seen for low relative humidity and high ozone levels.<br />Competing Interests: Declaration of competing interest 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.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1879-1026
- Volume :
- 903
- Database :
- MEDLINE
- Journal :
- The Science of the total environment
- Publication Type :
- Academic Journal
- Accession number :
- 37652385
- Full Text :
- https://doi.org/10.1016/j.scitotenv.2023.166646