The Association Between Meteorological Factors And The Rupture Of Intracranial Aneurysm

Purpose:Both meteorological factors and morphological factors are important factors to predict intracranial aneurysm rupture.However,the association of meteorological factors with morphological differences in aneurysms has not been evaluated.This study investigated the relationship between meteorological factors and aSAH.Additionally,the morphological differences between ruptured and unruptured aneurysms under these high-risk meteorological conditions were also assessed.Methods:The records of 1,751 aSAH patients with 2,124 intracranial aneurysms were retrospectively analyzed.The chi-square test for goodness of fit was used to evaluate demographic characteristics and Spearman rank-correlation analysis was used to assess the risks of incident aSAH based on daily meteorological data.Morphological parameters were analyzed using one-way analysis of variance(ANOVA)tests and significant parameters(P<0.05)were further examined using a multivariable logistic regression analysis.Additionally,receiver operating characteristic(ROC)curve analysis was performed for each parameter.Results:Seasonal trends in the incidence of ruptured aneurysms revealed a peak in winter(P<0.001),with the peak monthly incidence occurring in January and February(P=0.001),the peak incidence was in the morning(04:00-07:59,P<0.001).Daily aSAH incidence had significant negative correlations with daily mean,maximum and minimum temperature(P<0.001),and a significant positive correlation with daily mean atmospheric pressure(P<0.001).Additionally,58 patients with multiple aneurysms were assessed to determine morphological differences.There were significant differences in the mean values for aneurysm size,neck width,length,height,width,parent artery diameter,shape of the aneurysm,aspect ratio(AR),size ratio(SR)and bottleneck factor(BF)(P<0.05).The multivariable logistic regression analysis showed that AR(b=1.277,OR=3.585,95%CI: 1.588-8.090;P=0.002)was an independent risk factor for aneurysm rupture.Conclusions:Lower daily mean,maximum,and minimum temperatures and a higher daily mean atmospheric pressure were associated with an increased rate of hospital admissions for aSAH.Additionally,under these meteorological conditions,the aneurysm size and aspect ratio thresholds for predicting rupture of an aneurysm may be lower.