Meteorological factors and risk of ischemic stroke, intracranial hemorrhage, and subarachnoid hemorrhage: a time stratified case-crossover study.

24-hour change Air pressure Apparent temperature Epidemiology Humidity Ischaemic stroke Stroke subtypes Subarachnoid hemorrhage ambient temperature

Journal

International journal of stroke : official journal of the International Stroke Society
ISSN: 1747-4949
Titre abrégé: Int J Stroke
Pays: United States
ID NLM: 101274068

Informations de publication

Date de publication:
29 Jul 2024
Historique:
medline: 30 7 2024
pubmed: 30 7 2024
entrez: 30 7 2024
Statut: aheadofprint

Résumé

Stroke risks associated with rapid climate change remain controversial due to a paucity of evidence. To examine the risk of subarachnoid hemorrhage (SAH), intracranial hemorrhage (ICH), and ischemic stroke (IS) associated with meteorological parameters. In this time-stratified case-crossover study, adult patients hospitalized for their first stroke between 2011 and 2020 from the insurance claims data in Taiwan were identified. The hospitalization day was designated as the case period, and three or four control periods were matched by the same day of the week and month of each case period. Daily mean and 24-hour variations in ambient temperature, relative humidity, air pressure, and apparent temperature were measured. Conditional logistic regression models were applied to assess the risk of stroke associated with exposure to weather variables, using the third quintile as a reference, controlling for air pollutant levels. There were 7161 patients with SAH, 40,426 patients with ICH, and 107,550 patients with IS. There was an inverse linear relationship between mean daily temperature and apparent temperature with ICH. Elevated mean daily atmospheric pressure was associated with an increased risk of ICH. A greater decrease in apparent temperature over a 24-hour period was associated with increased risk of ICH but decreased risk of IS (odds ratio [95% confidence interval] for the first vs. third quintile of changes in apparent temperature, 1.141 [1.053-1.237] and 0.946 [0.899-0.996], respectively). There were considerable differences in short-term associations between meteorological parameters and three main pathological types of strokes.Data access statement: The authors have no permission to share the data.

Sections du résumé

BACKGROUND BACKGROUND
Stroke risks associated with rapid climate change remain controversial due to a paucity of evidence.
AIMS OBJECTIVE
To examine the risk of subarachnoid hemorrhage (SAH), intracranial hemorrhage (ICH), and ischemic stroke (IS) associated with meteorological parameters.
METHODS METHODS
In this time-stratified case-crossover study, adult patients hospitalized for their first stroke between 2011 and 2020 from the insurance claims data in Taiwan were identified. The hospitalization day was designated as the case period, and three or four control periods were matched by the same day of the week and month of each case period. Daily mean and 24-hour variations in ambient temperature, relative humidity, air pressure, and apparent temperature were measured. Conditional logistic regression models were applied to assess the risk of stroke associated with exposure to weather variables, using the third quintile as a reference, controlling for air pollutant levels.
RESULTS RESULTS
There were 7161 patients with SAH, 40,426 patients with ICH, and 107,550 patients with IS. There was an inverse linear relationship between mean daily temperature and apparent temperature with ICH. Elevated mean daily atmospheric pressure was associated with an increased risk of ICH. A greater decrease in apparent temperature over a 24-hour period was associated with increased risk of ICH but decreased risk of IS (odds ratio [95% confidence interval] for the first vs. third quintile of changes in apparent temperature, 1.141 [1.053-1.237] and 0.946 [0.899-0.996], respectively).
CONCLUSIONS CONCLUSIONS
There were considerable differences in short-term associations between meteorological parameters and three main pathological types of strokes.Data access statement: The authors have no permission to share the data.

Identifiants

pubmed: 39075752
doi: 10.1177/17474930241270483
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17474930241270483

Auteurs

Sheng Jen Chen (SJ)

Department of Education, China Medical University Hospital, Taichung 404, Taiwan.
Department of Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei 112, Taiwan.

Meng Lee (M)

Department of Neurology, Chang Gung Memorial Hospital at Chiayi, Chang-Gung University College of Medicine, Chiayi 613, Taiwan.

Bing-Chen Wu (BC)

Department of Public Health, China Medical University, Taichung 406, Taiwan.

Chih-Hsin Muo (CH)

Department of Public Health, China Medical University, Taichung 406, Taiwan.

Fung-Chang Sung (FC)

Department of Health Services Administration, China Medical University, Taichung 406, Taiwan.
Department of Food Nutrition and Health Biotechnology, Asia University, Taichung 413, Taiwan.

Pei Chun Chen (PC)

National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli 350, Taiwan.
Big Data Center, China Medical University Hospital, Taichung, 404, Taiwan.

Classifications MeSH