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选定气象因素对中风发病和病程的影响。

The Influence of Selected Meteorological Factors on the Prevalence and Course of Stroke.

机构信息

Medical University of Silesia, 40-055 Katowice, Poland.

Department of Neurology, School of Health Sciences, Medical University of Silesia, 40-055 Katowice, Poland.

出版信息

Medicina (Kaunas). 2021 Nov 8;57(11):1216. doi: 10.3390/medicina57111216.

DOI:10.3390/medicina57111216
PMID:34833434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8619234/
Abstract

: The objective of this study was to evaluate the impact of weather factors on stroke parameters. : This retrospective study analyzed the records of stroke patients concerning the influence of meteorological conditions and moon phases on stroke parameters. : The study group consisted of 402 patients aged between 20 and 102; women constituted 49.8% of the subjects. Ischaemic stroke was diagnosed in 90.5% of patients and hemorrhagic stroke was diagnosed in 9.5% of patients. The highest number of hospitalizations due to stroke was observed in January (48 events); the lowest number was observed in July (23 events). There was no statistically significant correlation between the meteorological parameters on the day of onset and the preceding day of stroke and the neurological status (NIHSS) of patients. Mean air temperature on the day of stroke and the day preceding stroke was significantly lower in the group of patients discharged with a very good functional status (≤2 points in modified Rankin scale (mRS)) compared to the patients with a bad functional status (>2 points in mRS); respectively: 7.98 ± 8.01 vs. 9.63 ± 7.78; = 0.041 and 8.13 ± 7.72 vs. 9.70 ± 7.50; = 0.048). Humidity above 75% on the day of stroke was found to be a factor for excellent functional state (RR 1.61; = 0.016). The total anterior circulation infarcts (in comparison with stroke in the other localization) were more frequent (70%) during a third quarter moon ( = 0.011). The following parameters had a significant influence on the number of stroke cases in relation to autumn having the lowest number of onsets: mean temperature (OR 1.019 95% CI 1.014-1.024, < 0.000), humidity (OR 1.028, CI 1.023-1.034, < 0.0001), wind speed (OR 0.923, 95% CI 0.909-0.937, < 0.0001), insolation (OR 0.885, 95% CI 0.869-0.902, < 0.0001), precipitation (OR 0.914, 95% CI 0.884-0.946, < 0.0001). : Air humidity and air temperature on the day of stroke onset as well as air temperature on the day preceding stroke are important for the functional status of patients in the acute disease period. A combination of the following meteorological parameters: lowered mean temperature and low sunshine, high humidity and high wind speed all increase the risk of stroke during the winter period. High humidity combined with high precipitation, low wind speed and low sunshine in the autumn period are associated with the lowest stroke incidence risk. A possible relationship between phases of the moon and the incidence requires further investigation.

摘要

: 本研究旨在评估天气因素对中风参数的影响。 : 这项回顾性研究分析了中风患者的记录,以评估气象条件和月相对中风参数的影响。 : 研究组包括 402 名年龄在 20 至 102 岁之间的患者;女性占受试者的 49.8%。90.5%的患者被诊断为缺血性中风,9.5%的患者被诊断为出血性中风。因中风住院人数最多的是 1 月(48 例);最少的是 7 月(23 例)。中风发作当天和前一天的气象参数与患者的神经状态(NIHSS)之间无统计学相关性。中风当天和前一天的平均空气温度在功能状态非常好(改良 Rankin 量表(mRS)评分≤2 分)的出院患者中明显低于功能状态较差(mRS 评分>2 分)的患者;分别为:7.98 ± 8.01 vs. 9.63 ± 7.78; = 0.041 和 8.13 ± 7.72 vs. 9.70 ± 7.50; = 0.048)。中风当天湿度高于 75%被认为是功能状态良好的一个因素(RR 1.61; = 0.016)。在前循环梗死(与其他部位的中风相比)中,三分之三月(满月)更常见( = 0.011)。以下参数对与秋季相比具有最低发作数量的中风病例数量有显著影响:平均温度(OR 1.019 95%CI 1.014-1.024, < 0.000)、湿度(OR 1.028,CI 1.023-1.034, < 0.0001)、风速(OR 0.923,95%CI 0.909-0.937, < 0.0001)、光照(OR 0.885,95%CI 0.869-0.902, < 0.0001)、降水(OR 0.914,95%CI 0.884-0.946, < 0.0001)。 : 中风发作当天以及前一天的空气湿度和温度是急性疾病期患者功能状态的重要因素。以下气象参数的组合:平均温度降低和低光照、高湿度和高风速均会增加冬季中风的风险。秋季高湿度结合高降水、低风速和低光照与中风发病率最低有关。月相与中风发病率之间可能存在关联,需要进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/8619234/13dc58c4369c/medicina-57-01216-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/8619234/e672b13c807d/medicina-57-01216-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/8619234/6ee82217161b/medicina-57-01216-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/8619234/13dc58c4369c/medicina-57-01216-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/8619234/e672b13c807d/medicina-57-01216-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/8619234/6ee82217161b/medicina-57-01216-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/8619234/13dc58c4369c/medicina-57-01216-g003.jpg

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