Department of Neurology, Charité - Universitätsmedizin Berlin Charitéplatz 1, 10117, Berlin, Germany.
Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin Charitéplatz 1, 10117, Berlin, Germany ; Institute for Clinical Epidemiology and Applied Biometry Silcherstraße 5, 72076, Tübingen, Germany.
Ann Clin Transl Neurol. 2015 Jan;2(1):22-8. doi: 10.1002/acn3.139. Epub 2014 Dec 16.
The study aimed at elucidating a potential correlation between specific meteorological variables and the prevalence and intensity of migraine attacks as well as exploring a potential individual predictability of a migraine attack based on meteorological variables and their changes.
Attack prevalence and intensity of 100 migraineurs were correlated with atmospheric pressure, relative air humidity, and ambient temperature in 4-h intervals over 12 consecutive months. For each correlation, meteorological parameters at the time of the migraine attack as well as their variation within the preceding 24 h were analyzed. For migraineurs showing a positive correlation, logistic regression analysis was used to assess the predictability of a migraine attack based on meteorological information.
In a subgroup of migraineurs, a significant weather sensitivity could be observed. In contrast, pooled analysis of all patients did not reveal a significant association. An individual prediction of a migraine attack based on meteorological data was not possible, mainly as a result of the small prevalence of attacks.
The results suggest that only a subgroup of migraineurs is sensitive to specific weather conditions. Our findings may provide an explanation as to why previous studies, which commonly rely on a pooled analysis, show inconclusive results. The lack of individual attack predictability indicates that the use of preventive measures based on meteorological conditions is not feasible.
本研究旨在阐明特定气象变量与偏头痛发作的患病率和强度之间可能存在的相关性,并探讨基于气象变量及其变化预测偏头痛发作的个体可能性。
在 12 个月的连续时间内,以 4 小时为间隔,将 100 名偏头痛患者的发作频率和强度与大气压、相对空气湿度和环境温度相关联。对于每种相关性,分析偏头痛发作时的气象参数及其在 24 小时内的变化。对于表现出正相关的偏头痛患者,使用逻辑回归分析评估基于气象信息预测偏头痛发作的可能性。
在偏头痛患者的亚组中,可以观察到明显的天气敏感性。相比之下,对所有患者进行的汇总分析并未显示出显著的相关性。基于气象数据对偏头痛发作进行个体预测是不可能的,主要是因为发作的患病率较小。
结果表明,只有偏头痛患者的亚组对特定的天气条件敏感。我们的研究结果可能解释了为什么之前的研究,通常依赖于汇总分析,得出的结果不一致。缺乏个体发作的可预测性表明,基于气象条件采取预防措施是不可行的。