Effects of ambient temperature on hospital admissions for obstructive nephropathy in Wuhan, China: A time-series analysis.

Ambient temperature Distributed lag non-linear model Obstructive nephropathy Time-series analysis

Journal

Ecotoxicology and environmental safety
ISSN: 1090-2414
Titre abrégé: Ecotoxicol Environ Saf
Pays: Netherlands
ID NLM: 7805381

Informations de publication

Date de publication:
01 Sep 2022
Historique:
received: 23 03 2022
revised: 08 07 2022
accepted: 09 07 2022
pubmed: 17 7 2022
medline: 24 8 2022
entrez: 16 7 2022
Statut: ppublish

Résumé

Under the background of global warming, it has been confirmed that heat exposure has a huge impact on human health. The current study aimed to evaluate the effects of daily mean ambient temperature on hospital admissions for obstructive nephropathy (ON) at the population level. A total of 19,494 hospitalization cases for ON in Wuhan, China from January 1, 2015 to December 31, 2018 were extracted from a nationwide inpatient database in tertiary hospitals according to the International Classification of Diseases (ICD)- 10 codes. Daily ambient meteorological and pollution data during the same period were also collected. A quasi-Poisson Generalized Linear Model (GLM) combined with a distributed lag non-linear model (DLNM) was applied to analyze the lag-exposure-response relationship between daily mean temperature and daily hospital admissions for ON. Results showed that there were significantly positive associations between the daily mean temperature and ON hospital admissions. Relative to the minimum-risk temperature (-3.4 ℃), the risk of hospital admissions for ON at moderate hot temperature (25 ℃, 75th percentile) occurred from lag day 4 and stayed to lag day 12 (cumulative relative risk [RR] was 1.846, 95 % confidence interval [CI]: 1.135-3.005, over lag 0-12 days). Moreover, the risk of extreme hot temperature (32 ℃, 99th percentile) appeared immediately and lasted for 8 days (RR = 2.019, 95 % CI: 1.308-3.118, over lag 0-8 days). Subgroup analyses indicated that the middle-aged and elderly (≥45 years) patients might be more susceptible to the negative effects of high temperature, especially at moderate hot conditions. Our findings suggest that temperature may have a significant impact on the acute progression and onset of ON. Higher temperature is associated with increased risks of hospital admissions for ON, which indicates that early interventions should be taken in geographical settings with relatively high temperatures, particularly for the middle-aged and elderly.

Identifiants

pubmed: 35841652
pii: S0147-6513(22)00716-3
doi: 10.1016/j.ecoenv.2022.113876
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113876

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Fulin Wang (F)

Peking University First Hospital, Beijing, China; Institute of Medical Technology, Peking University Health Science Center, Beijing, China.

Wanzhou Wang (W)

Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.

Suyuan Peng (S)

National Institute of Health Data Science at Peking University, Beijing, China.

Huai-Yu Wang (HY)

National Institute of Health Data Science at Peking University, Beijing, China.

Rui Chen (R)

Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China.

Jinwei Wang (J)

Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China.

Chao Yang (C)

Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China. Electronic address: yangchao@bjmu.edu.cn.

Pengfei Li (P)

Advanced Institute of Information Technology, Peking University, Hangzhou, China.

Yang Wang (Y)

National Climate Center, China Meteorological Administration, Beijing, China.

Luxia Zhang (L)

National Institute of Health Data Science at Peking University, Beijing, China; Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China. Electronic address: zhanglx@bjmu.edu.cn.

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