Ambient temperature and hospital admissions for acute kidney injury: A time-series analysis

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Standard

Ambient temperature and hospital admissions for acute kidney injury : A time-series analysis. / Lim, Youn-Hee; So, Rina; Lee, Choongho; Hong, Yun-Chul; Park, Minseon; Kim, Logyoung; Yoon, Hyung-Jin.

I: The Science of the Total Environment, Bind 616-617, 2018, s. 1134-1138.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Lim, Y-H, So, R, Lee, C, Hong, Y-C, Park, M, Kim, L & Yoon, H-J 2018, 'Ambient temperature and hospital admissions for acute kidney injury: A time-series analysis', The Science of the Total Environment, bind 616-617, s. 1134-1138. https://doi.org/10.1016/j.scitotenv.2017.10.207

APA

Lim, Y-H., So, R., Lee, C., Hong, Y-C., Park, M., Kim, L., & Yoon, H-J. (2018). Ambient temperature and hospital admissions for acute kidney injury: A time-series analysis. The Science of the Total Environment, 616-617, 1134-1138. https://doi.org/10.1016/j.scitotenv.2017.10.207

Vancouver

Lim Y-H, So R, Lee C, Hong Y-C, Park M, Kim L o.a. Ambient temperature and hospital admissions for acute kidney injury: A time-series analysis. The Science of the Total Environment. 2018;616-617:1134-1138. https://doi.org/10.1016/j.scitotenv.2017.10.207

Author

Lim, Youn-Hee ; So, Rina ; Lee, Choongho ; Hong, Yun-Chul ; Park, Minseon ; Kim, Logyoung ; Yoon, Hyung-Jin. / Ambient temperature and hospital admissions for acute kidney injury : A time-series analysis. I: The Science of the Total Environment. 2018 ; Bind 616-617. s. 1134-1138.

Bibtex

@article{fccf484348dc49148c02edfaf53a3c3e,
title = "Ambient temperature and hospital admissions for acute kidney injury: A time-series analysis",
abstract = "Some studies have suggested that high ambient temperatures are a risk factor for kidney-related diseases. However, none have examined the association between ambient temperature and acute kidney injury (AKI). This study aimed to examine the association between daily mean temperature and AKI and identify high-risk subgroups in this association. We obtained health insurance claim data from the Health Insurance Review and Assessment Service (HIRA) for 24,800 admitted cases of AKI during the period 2007-2014 in Seoul, Korea. Using a time-series design and piecewise linear regression models, we estimated the percentage change in AKI admissions associated with daily mean temperature after controlling for relevant covariates. Daily mean temperature and AKI admissions displayed an inverse association in the cold season and a nonlinear relationship with a flexion point around 28.8°C in the warm season. AKI admissions increased by 23.3{\%} (95{\%} confidence interval [CI]: 14.3, 33.0) per 1°C increase in mean temperature above the 28.8°C flexion point in the warm season. The estimates were greatest among men with hypertension (55.1{\%}; 95{\%} CI: 25.1, 92.2). However, we did not observe significant increases in AKI admissions associated with ambient temperature in the cold season (0.4{\%} [95{\%} CI: -0.1, 0.9] per 1°C decrease in mean temperature). Our results suggest that hospital admissions for AKI increase in association with high temperature, particularly among men with hypertension in the warm season. Thus, early detection of AKI during heat wave periods is crucial. Our findings also provide evidence for the local government to target populations vulnerable to high ambient temperatures.",
keywords = "Acute Kidney Injury/epidemiology, Cold Temperature, Environmental Exposure/statistics & numerical data, Hot Temperature, Humans, Patient Admission, Risk Factors, Seoul/epidemiology, Temperature",
author = "Youn-Hee Lim and Rina So and Choongho Lee and Yun-Chul Hong and Minseon Park and Logyoung Kim and Hyung-Jin Yoon",
note = "Copyright {\circledC} 2017 Elsevier B.V. All rights reserved.",
year = "2018",
doi = "10.1016/j.scitotenv.2017.10.207",
language = "English",
volume = "616-617",
pages = "1134--1138",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Ambient temperature and hospital admissions for acute kidney injury

T2 - A time-series analysis

AU - Lim, Youn-Hee

AU - So, Rina

AU - Lee, Choongho

AU - Hong, Yun-Chul

AU - Park, Minseon

AU - Kim, Logyoung

AU - Yoon, Hyung-Jin

N1 - Copyright © 2017 Elsevier B.V. All rights reserved.

PY - 2018

Y1 - 2018

N2 - Some studies have suggested that high ambient temperatures are a risk factor for kidney-related diseases. However, none have examined the association between ambient temperature and acute kidney injury (AKI). This study aimed to examine the association between daily mean temperature and AKI and identify high-risk subgroups in this association. We obtained health insurance claim data from the Health Insurance Review and Assessment Service (HIRA) for 24,800 admitted cases of AKI during the period 2007-2014 in Seoul, Korea. Using a time-series design and piecewise linear regression models, we estimated the percentage change in AKI admissions associated with daily mean temperature after controlling for relevant covariates. Daily mean temperature and AKI admissions displayed an inverse association in the cold season and a nonlinear relationship with a flexion point around 28.8°C in the warm season. AKI admissions increased by 23.3% (95% confidence interval [CI]: 14.3, 33.0) per 1°C increase in mean temperature above the 28.8°C flexion point in the warm season. The estimates were greatest among men with hypertension (55.1%; 95% CI: 25.1, 92.2). However, we did not observe significant increases in AKI admissions associated with ambient temperature in the cold season (0.4% [95% CI: -0.1, 0.9] per 1°C decrease in mean temperature). Our results suggest that hospital admissions for AKI increase in association with high temperature, particularly among men with hypertension in the warm season. Thus, early detection of AKI during heat wave periods is crucial. Our findings also provide evidence for the local government to target populations vulnerable to high ambient temperatures.

AB - Some studies have suggested that high ambient temperatures are a risk factor for kidney-related diseases. However, none have examined the association between ambient temperature and acute kidney injury (AKI). This study aimed to examine the association between daily mean temperature and AKI and identify high-risk subgroups in this association. We obtained health insurance claim data from the Health Insurance Review and Assessment Service (HIRA) for 24,800 admitted cases of AKI during the period 2007-2014 in Seoul, Korea. Using a time-series design and piecewise linear regression models, we estimated the percentage change in AKI admissions associated with daily mean temperature after controlling for relevant covariates. Daily mean temperature and AKI admissions displayed an inverse association in the cold season and a nonlinear relationship with a flexion point around 28.8°C in the warm season. AKI admissions increased by 23.3% (95% confidence interval [CI]: 14.3, 33.0) per 1°C increase in mean temperature above the 28.8°C flexion point in the warm season. The estimates were greatest among men with hypertension (55.1%; 95% CI: 25.1, 92.2). However, we did not observe significant increases in AKI admissions associated with ambient temperature in the cold season (0.4% [95% CI: -0.1, 0.9] per 1°C decrease in mean temperature). Our results suggest that hospital admissions for AKI increase in association with high temperature, particularly among men with hypertension in the warm season. Thus, early detection of AKI during heat wave periods is crucial. Our findings also provide evidence for the local government to target populations vulnerable to high ambient temperatures.

KW - Acute Kidney Injury/epidemiology

KW - Cold Temperature

KW - Environmental Exposure/statistics & numerical data

KW - Hot Temperature

KW - Humans

KW - Patient Admission

KW - Risk Factors

KW - Seoul/epidemiology

KW - Temperature

U2 - 10.1016/j.scitotenv.2017.10.207

DO - 10.1016/j.scitotenv.2017.10.207

M3 - Journal article

C2 - 29089137

VL - 616-617

SP - 1134

EP - 1138

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -

ID: 230068565