Study on the relationship among typhoon, weather change and acute ischemic stroke in southern Zhejiang Province of China.

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY BMC Neurology Pub Date : 2025-01-08 DOI:10.1186/s12883-024-04012-4
Yao Tong, Yating Chen, Yulong Yu, Faxing Wang, Lina Lin, Gangjian He, Lingyang Chen, Xiuxiu Zhuang, Wenwen Du, Yunchang Mo
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Abstract

Objective: This study aimed to investigate the relationship between the unique weather change and acute ischemic stroke (AIS) in the southern Zhejiang Province of China and to provide evidence for better predicting and preventing stroke.

Methods: We retrospectively collected 14,996 ischemic stroke patients data and weather data from January 2019 to December 2021 in the southern Zhejiang Province of China. The correlation and risk between meteorological factors and the number of AIS daily cases were calculated. Wilcoxon rank sum test was used to calculate the difference in the number of cases between typhoon-affected and non-affected periods. A prediction model obeying Poisson regression was established, and the accuracy of the correlation factors in predicting the number of cases was verified.

Results: In southern Zhejiang Province, the number of AIS was the highest in summer and the lowest in spring. Stroke onset is associated with temperature, water vapor pressure and typhoons (P < 0.05). The presence of typhoon (RR 0.882; 95% CI 0.834 to 0.933, P < 0.001) was a protective factor, while maximum temperature (RR 1.021; 95% CI 1.008 to 1.033, P = 0.043) and the water vapor pressure (RR 1.036; 95% CI 1.006 to 1.067, P = 0.036) were risk factors. The occurrence under the influence of typhoons was lower than that without the influence of typhoons (P < 0.05). The prediction model can predict the occurrence of stroke.

Conclusion: An association was observed between the occurrence of AIS, temperature, water vapor pressure and typhoon in the southern Zhejiang Province of China. Typhoon occurrence was associated with fewer cases. The predictive model may help high-risk populations prevent diseases early and assist hospitals in allocating resources promptly.

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浙江南部台风、天气变化与急性缺血性脑卒中的关系研究。
目的:探讨浙南地区独特的天气变化与急性缺血性脑卒中(AIS)的关系,为更好地预测和预防脑卒中提供依据。方法:我们回顾性收集了2019年1月至2021年12月中国浙江省南部14996例缺血性脑卒中患者的数据和天气数据。计算气象因子与AIS日发病数的相关性和风险。采用Wilcoxon秩和检验计算台风影响期与非台风影响期病例数之差。建立了服从泊松回归的预测模型,验证了相关因子预测病例数的准确性。结果:浙南地区AIS数量以夏季最多,春季最少;结论:浙江省南部地区AIS的发生与气温、水汽压和台风有关。发生台风的病例较少。该预测模型可以帮助高危人群早期预防疾病,帮助医院及时配置资源。
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来源期刊
BMC Neurology
BMC Neurology 医学-临床神经学
CiteScore
4.20
自引率
0.00%
发文量
428
审稿时长
3-8 weeks
期刊介绍: BMC Neurology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of neurological disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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