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中国浙江省南部台风、天气变化与急性缺血性脑卒中之间的关系研究

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

作者信息

Tong Yao, Chen Yating, Yu Yulong, Wang Faxing, Lin Lina, He Gangjian, Chen Lingyang, Zhuang Xiuxiu, Du Wenwen, Mo Yunchang

机构信息

Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, Zhejiang, China.

Department of Anesthesiology, Taizhou Hospital of Zhejiang Province, 150 Ximen Street, Gucheng Street, Linhai, Zhejiang, China.

出版信息

BMC Neurol. 2025 Jan 8;25(1):14. doi: 10.1186/s12883-024-04012-4.

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.

摘要

目的

本研究旨在探讨中国浙江省南部独特的天气变化与急性缺血性卒中(AIS)之间的关系,为更好地预测和预防卒中提供依据。

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例缺血性卒中患者的数据和天气数据。计算气象因素与AIS每日病例数之间的相关性和风险。采用Wilcoxon秩和检验计算台风影响期和非影响期病例数的差异。建立服从泊松回归的预测模型,并验证相关因素在预测病例数方面的准确性。

结果

在浙江省南部,AIS病例数夏季最高,春季最低。卒中发病与温度、水汽压和台风有关(P<0.05)。台风的存在(RR 0.882;95%CI 0.834至0.933,P<0.001)是一个保护因素,而最高温度(RR 1.021;95%CI 1.008至1.033,P=0.043)和水汽压(RR 1.036;95%CI 1.006至1.067,P=0.036)是危险因素。台风影响下的发病情况低于无台风影响时(P<0.05)。该预测模型可以预测卒中的发生。

结论

在中国浙江省南部,观察到AIS的发生与温度、水汽压和台风之间存在关联。台风发生时病例数较少。该预测模型可能有助于高危人群早期预防疾病,并协助医院及时分配资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b3/11707993/d3e055ad9476/12883_2024_4012_Fig1_HTML.jpg

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