Page 91 - Migraine, the heart and the brain

Statistical analyses
Descriptive statistics were used to describe demographic and migraine characteristics. Comparisons between groups were analysed by a Student’s t-test for continuous variables and the chi-square test for nominal variables. Multinomial logistic regression analysis was used to determine risk factors for migraine. Migraine with aura, migraine without aura and no migraine were used as dependent, no migraine was set as reference. As independent variables MFS, AR and gender were used, adjusting for age. P-values <0.05 were considered statistically signi cant. All analyses were performed using SPSS 16.0 (SPSS Inc., Chicago, IL).
results
Table 1. Demographic characteristics
Age, mean (SD)
Male gender (%)
Aortic root replacement (%) Mean age at AR (SD)
MFS
N = 123
42 (14)
53 (43)
52 (42)
30 (12), n = 52
Healthy controls N = 82
43 (15)
31 (38) 0 (0) Na
Non-MFS with AR 5 N = 51
53 (15)a
39 (77)a 51 (100) 51 (15)a
Table 2. Lifetime migraine prevalence for different diagnostic groups
Marfan syndrome and migraine
AR: aortic root replacement; MFS: Marfan syndrome; Non-MFS with AR: non-Marfan syndrome with aortic root replacement; na: not applicable. Comparisons: Marfan syndrome vs. healthy controls and non MFS with AR vs. controls. Mean age at AR comparison Marfan syndrome vs. non MFS with AR.
a p < 0.001.
MFS
Healthy controls
Non-MFS with AR
Migraine (%)
Migraine without aura (%)
Migraine with aura (%)
Male
N = 53
14 (26) 4 (8)
10 (19)a
Female
N = 70
36 (51)a 15 (21)
21 (30)a
Male
N = 31
6 (19) 5 (16)
1 (3)
Female
N = 51
15 (29) 8 (16)
7 (14)
Male
N = 39
7 (18) 4 (10)
4 (10)
Female
N = 12
6 (50) 2 (17)
4 (33)
MFS: Marfan syndrome; non-MFS with AR: non-Marfan syndrome with aortic root replacement. Comparisons: Marfan syndrome males vs. healthy male controls. Same comparisons for females separately. Comparison non- MFS with AR to controls, also strati ed for gender.
Chi-square. a p < 0.05.
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