Literature DB >> 15465090

Variation in ischemic stroke frequency in Japan by season and by other variables.

Toshiyasu Ogata1, Kazumi Kimura, Kazuo Minematsu, Seiji Kazui, Takenori Yamaguchi.   

Abstract

BACKGROUND AND
PURPOSE: It is unclear whether acute ischemic stroke exhibits a seasonal pattern in Japan. The aim of the present study was to elucidate seasonal differences in acute ischemic stroke.
METHODS: Our study enrolled 12,660 patients with ischemic stroke (7943 men, 4717 women; mean age, 70.1 years, S.D. 11.5; median 70; range 18-107). We divided the year into four parts: spring (March-May); summer (June-August); fall (September-November); and winter (December-February). Time of stroke onset was divided into three subgroups: daytime (08:00-16:00), evening (16:00-24:00), and night (24:00-08:00). We examined the association between clinical characteristics, season, and time of stroke onset.
RESULTS: Stroke occurred least frequently in spring (22.9%), followed by winter (25.3%), fall (25.8%), and summer (26.0%) (P<0.001). No differences in age, National Institutes of Health Stroke Scale (NIHSS) score, modified Rankin Scale (m-RS) score, history of stroke/transient ischemic attack (TIA), or risk factors for stroke were observed among the four seasons. Stroke in men (63.8% vs. 62.4%; P<0.01), lacunar stroke (LS) (41.2% vs. 39.4%, P<0.01), atherothrombotic stroke (ATS) (34.0% vs. 32.3%; P<0.01), and nighttime stroke (26.5% vs. 24.8%; P<0.05) were observed more frequently in summer compared to other seasons. This contrasts with the findings for stroke in women (39.0% vs. 36.7%; P<0.05), cardioembolic stroke (CES) (23.4% vs. 20.6%; P<0.05), and daytime stroke (47.4% vs. 45.0%; P<0.05), which were more frequent in winter.
CONCLUSIONS: Acute ischemic stroke displays seasonal characteristics according to gender, stroke subtype, and time of stroke onset. These results may have important clinical implications in ischemic stroke prevention.

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Year:  2004        PMID: 15465090     DOI: 10.1016/j.jns.2004.07.002

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  6 in total

1.  Seasonal variation in the occurrence of ischemic stroke: A meta-analysis.

Authors:  Yanbo Li; Zhiwei Zhou; Ning Chen; Li He; Muke Zhou
Journal:  Environ Geochem Health       Date:  2019-03-08       Impact factor: 4.609

2.  Effects of Temperature and Pressure on Acute Stroke Incidence Assessed Using a Korean Nationwide Insurance Database.

Authors:  Jae-Sung Lim; Hyung-Min Kwon; Seong-Eun Kim; Juneyoung Lee; Young-Seok Lee; Byung-Woo Yoon
Journal:  J Stroke       Date:  2017-09-29       Impact factor: 6.967

3.  Disease Specific Seasonal Influence- Geography and Economy Maters.

Authors:  Jayantee Kalita; Usha K Misra
Journal:  Ann Indian Acad Neurol       Date:  2020-01-21       Impact factor: 1.383

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

6.  Winter cardiovascular diseases phenomenon.

Authors:  Auda Fares
Journal:  N Am J Med Sci       Date:  2013-04
  6 in total

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