Table 3 Clinical characteristics of probable migraine and migraine according to the presence of cutaneous allodynia.

From: Prevalence and characteristics of cutaneous allodynia in probable migraine

 

PM

Migraine

PM with CA, N = 42

PM without CA, N = 247

p-value

Migraine with CA, N = 20

Migraine without CA, N = 105

p-value

Headache frequency per month

3.3 ± 4.3

1.8 ± 3.6

0.017

5.6 ± 8.4

2.1 ± 3.5

0.857

Headache intensity (Visual Analogue Scale)

6.0 (4.0–7.0)*

5.0 (3.0–6.0)*

0.002

7.0 (6.0–7.0)*

6.0 (5.0–7.0)*

0.033

Attack duration (hours)

2.2 ± 0.9

1.5 ± 1.1

 < 0.001

9.1 ± 7.8

7.6 ± 6.6

 

Unilateral pain

19 (45.2)

145 (58.6)

0.097

14 (70.0)

73 (69.5)

0.937

Aggravation by movement

27 (64.3)

86 (34.8)

 < 0.001

11 (55.0)

48 (45.7)

0.501

Pulsating quality

31 (73.8)

197 (86.4)

0.337

15 (75.0)

87 (82.8)

0.547

Nausea

38 (90.5)

230 (93.1)

0.467

19 (95.0)

93 (88.6)

0.448

Vomiting

19 (45.2)

117 (47.4)

0.828

12 (60.0)

44 (41.9)

0.168

Photophobia

25 (59.5)

67 (27.1)

0.017

8 (40.0)

37 (35.2)

0.755

Phonophobia

29 (69.0)

112 (45.3)

0.007

11 (55.0)

55 (52.4)

0.917

Osmophobia

21 (50.0)

95 (38.5)

0.202

7 (35.0)

41 (39.0)

0.624

Depression (PHQ-9 score) ≥ 10

22 (52.4)

40 (16.2)

 < 0.001

7 (35.0)

17 (16.2)

0.047

PHQ-9 score

11.1 ± 5.5

7.8 ± 3.5

0.150

8.6 ± 4.9

7.9 ± 3.7

0.520

Anxiety (GAD-7 score) ≥ 7

14 (33.3)

13 (5.3)

 < 0.001

9 (45.0)

11 (10.5)

 < 0.001

GAD-7 score

4.7 ± 5.0

2.0 ± 2.6

0.312

6.6 ± 5.4

2.2 ± 2.8

 < 0.001

HIT-6 score

56.3 ± 7.2

48.3 ± 8.0

 < 0.001

61.5 ± 9.2

51.4 ± 7.9

 < 0.001

MIDAS score

1.0 (0.0–10.0)*

0.0 (0.0–1.0)*

0.029

5.0 (2.0–13.8)*

0.0 (0.0–2.0)*

 < 0.001

Body mass index

23.1 ± 2.4

23.0 ± 2.6

0.625

22.7 ± 2.5

22.8 ± 2.5

0.116

  1. PM: probable migraine, CA: cutaneous allodynia, MIDAS: migraine disability assessment, HIT-6: Headache Impact Test-6, PHQ-9: Patient Health Questionnaire-9, GAD-7: Generalized Anxiety Disorder-7.
  2. *Median and interquartile range.
  3. Compared using linear regression analyses with age and sex (year, continuous) adjustment.