Literature DB >> 25881777

Effects of Meteorological Conditions on the Risk of Ischemic Stroke Events in Patients Treated with Alteplase--HEWS-tPA.

Yoshimasa Sueda1, Naohisa Hosomi2, Miwako Tsunematsu3, Kazuhiro Takamatsu4, Eiichi Nomura5, Tsuyoshi Torii1, Toshiho Ohtsuki6, Shiro Aoki6, Tomoya Mukai6, Tomohisa Nezu6, Masayuki Kakehashi3, Masayasu Matsumoto6.   

Abstract

BACKGROUND: Predicting a day that presents a high risk for the occurrence of ischemic stroke events may enable health professionals to prepare for emergency stroke therapy more properly. We evaluated the association between meteorological conditions and the frequency of ischemic stroke events in Japanese patients.
METHODS: Ischemic stroke patients (n = 299) who were treated with alteplase at 9 stroke hospitals in 3 restricted areas were examined. The daily rates of ischemic stroke events were compared with the daily mean thermo-hydrological index (THI), the atmospheric pressure, and the daily changes of these variables for the 6 days preceding an ischemic stroke event using Poisson regression analysis.
RESULTS: We trisected onset days based on the THI (low-temperature, intermediate-temperature, and high-temperature), atmospheric pressure (low-pressure, intermediate-pressure, and high-pressure), changes in THI for preceding 6 days from the previous day (cooler, unchanged-temperature, and warmer), and changes in atmospheric pressure (decreased-pressure, unchanged-pressure, and increased-pressure). The frequency of ischemic stroke was significantly higher on low-temperature or high-pressure days (risk ratio, 1.398, P = .022; risk ratio, 1.374, P = .039), on warmer-temperature days, and when atmospheric pressure varied from the day before (P < .05). There were significantly lower risks for ischemic stroke events on cooler-temperature days, and higher risks were associated with a variation in atmospheric pressure 3 days before the onset from 4 days before (P < .05).
CONCLUSIONS: There were higher risks for ischemic stroke events associated with low ambient temperature, high atmospheric pressure, increased temperature, and varied atmospheric pressure. Also, atmospheric pressure variation 3 days before may be associated.
Copyright © 2015 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Meteorological conditions; ischemic stroke; prediction; stroke

Mesh:

Substances:

Year:  2015        PMID: 25881777     DOI: 10.1016/j.jstrokecerebrovasdis.2015.03.013

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  7 in total

1.  Association between El Niño-Southern Oscillation events and stroke: a case-crossover study in Kaunas city, Lithuania, 2000-2015.

Authors:  Vidmantas Vaičiulis; Jonė Venclovienė; Giedrė Kačienė; Abdonas Tamošiūnas; Deividas Kiznys; Dalia Lukšienė; Ričardas Radišauskas
Journal:  Int J Biometeorol       Date:  2022-01-30       Impact factor: 3.787

2.  Anomalous equivalent potential temperature: an atmospheric feature predicting days with higher risk for fatal outcome in acute ischemic stroke-a preliminary study.

Authors:  András Folyovich; Dávid Biczó; Nadim Al-Muhanna; Anna K Béres-Molnár; Ádám Fejős; Ádám Pintér; Dániel Bereczki; Antal Fischer; Károly Vadasdi; Ferenc Pintér
Journal:  Environ Monit Assess       Date:  2015-08-02       Impact factor: 2.513

3.  Various meteorological conditions exhibit both immediate and delayed influences on the risk of stroke events: The HEWS-stroke study.

Authors:  Tomoya Mukai; Naohisa Hosomi; Miwako Tsunematsu; Yoshimasa Sueda; Yutaka Shimoe; Tomohiko Ohshita; Tsuyoshi Torii; Shiro Aoki; Tomohisa Nezu; Hirofumi Maruyama; Masayuki Kakehashi; Masayasu Matsumoto
Journal:  PLoS One       Date:  2017-06-02       Impact factor: 3.240

4.  Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan).

Authors:  Masahito Katsuki; Norio Narita; Naoya Ishida; Ohmi Watanabe; Siqi Cai; Dan Ozaki; Yoshimichi Sato; Yuya Kato; Wenting Jia; Taketo Nishizawa; Ryuzaburo Kochi; Kanako Sato; Teiji Tominaga
Journal:  Surg Neurol Int       Date:  2021-01-28

5.  Prediction Model of Deep Learning for Ambulance Transports in Kesennuma City by Meteorological Data.

Authors:  Ohmi Watanabe; Norio Narita; Masahito Katsuki; Naoya Ishida; Siqi Cai; Hiroshi Otomo; Kenichi Yokota
Journal:  Open Access Emerg Med       Date:  2021-01-28

Review 6.  Short-Term Effect of Ambient Temperature and the Risk of Stroke: A Systematic Review and Meta-Analysis.

Authors:  Hui Lian; Yanping Ruan; Ruijuan Liang; Xiaole Liu; Zhongjie Fan
Journal:  Int J Environ Res Public Health       Date:  2015-07-31       Impact factor: 3.390

7.  Seasonal patterns and associations in the incidence of acute ischemic stroke requiring mechanical thrombectomy.

Authors:  Philipp Bücke; Hans Henkes; Guy Arnold; Birgit Herting; Eric Jüttler; Christof Klötzsch; Alfred Lindner; Uwe Mauz; Ludwig Niehaus; Matthias Reinhard; Stefan Waibel; Thomas Horvath; Hansjörg Bäzner; Marta Aguilar Pérez
Journal:  Eur J Neurol       Date:  2021-05-05       Impact factor: 6.288

  7 in total

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