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Table 1 Characteristics of patients in the three clusters

From: Rupture discrimination of multiple small (< 7 mm) intracranial aneurysms based on machine learning-based cluster analysis

Patient-level Characteristics

Cluster A

Cluster B

Cluster C

P-value

No. (%)

45 (6.8)

110 (16.7)

505 (76.5)

-

Presented with SAH (%)

34 (75.6)

42 (38.2)

89 (17.6)

 < 0.001

Baseline information

 Age (mean ± SD)

58.5 ± 9.6

56.0 ± 10.8

57.6 ± 10.5

0.264

 Female sex (%)

34 (75.6)

28 (25.5)

378 (74.9)

 < 0.001

 History of SAH (%)

0

32 (29.1)

1 (0.2)

 < 0.001

 Family history of IAs (%)

45 (100.0)

1 (0.9)

0

 < 0.001

 Number of IAs (mean ± SD)

2.2 ± 0.4

2.4 ± 0.6

2.4 ± 0.5

0.124

Vascular risk factors

 Hypertension (%)

26 (57.8)

79 (71.8)

285 (56.4)

0.012

 Diabetes mellitus (%)

9 (20.0)

13 (11.8)

79 (15.6)

0.398

 Hyperlipidemia (%)

7 (15.6)

29 (26.4)

96 (19.0)

0.161

 Cardiovascular diseases (%)

1 (2.2)

9 (8.2)

60 (11.9)

0.087

 History of stroke (%)

8 (17.8)

25 (21.8)

66 (13.1)

0.055

 Intracranial atherosclerotic stenosis ≥ 50% (%)

9 (20.0)

38 (35.5)

146 (28.9)

0.185

 Current smoking (%)

5 (11.1)

48 (43.6)

86 (17.0)

 < 0.001

 Former smoking (%)

0

13 (11.8)

12 (2.4)

 < 0.001

 Alcohol consumption (%)

3 (6.7)

86 (78.2)

8 (1.6)

 < 0.001

Number of vascular risk factors (%)

   

 < 0.001

  < 3

37 (82.1)

41 (32.0)

416 (82.4)

 

  ≥ 3

8 (17.9)

69 (68.0)

89 (17.6)

 
  1. SAH Subarachnoid hemorrhage, IA Intracranial aneurysm