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. 2024 Feb 7;47(1):76. doi: 10.1007/s10143-024-02310-6

Table 3.

Comparison of epidemiological data and pre-existing conditions, rupture status, and aneurysm multiplicity across the entire cohort and the matched sub-cohort, including tests for significant differences between cohorts

Whole cohort (n = 186) Matched cohort (n = 64)
AcomA (n = 154) BA (n = 32) Statistical analysis AcomA (n = 32) BA (n = 32) Statistical analysis
Gender M = 69; F = 85 M = 7; F = 25 p = 0.008* M = 7; F = 25 M = 7; F = 25 p = 1*
Age 53.9 years 56.8 years p = 0.149** 55.2 years 56.8 years p = 0.248**
Hypertension 108 (70.1%) 23 (71.9%) p = 0.724* 25 (78%) 23 (71.9%) p = 0.714*
Diabetes mellitus 13 (8.4%) 4 (12.4%) p = 0.503*** 2 (6.2%) 4 (12.4%) p = 0.485***
Hyperlipidemia 21 (13.6%) 7 (21.9%) p = 0.083*** 6 (18.8%) 7 (21.9%) p = 0.873***
Peripheral arterial disease 3 (2%) 2 (6.2%) p = 0.187*** 0 (0%) 2 (6.2%) p = 0.238***
Heart disease 24 (15.6%) 4 (12.4%) p = 0.531*** 2 (6.2%) 4 (12.4%) p = 0.361***
Ischaemic stroke 9 (5.8%) 1 (3.1%) p = 0.489*** 0 (0%) 1 (3.1%) p = 0.492***
Thrombosis 6 (4%) 0 (0%) p = 0.350*** 1 (3.1%) 0 (0%) p = 0.738***
Malignant tumor disease 5 (3.3%) 3 (9.4%) p = 0.711*** 1 (3.1%) 3 (9.4%) p = 0.488***
Autoimmune disease 17 (11%) 0 (0%) p = 0.042*** 9 (28.1%) 0 (0%) p = 0.508***
Obesity 50 (32.5%) 12 (37.5%) p = 0.762* 1 (3.1%) 12 (37.5%) p = 0.59*
Nicotine abuse 79 (51.3%) 16 (50%) p = 0.689* 18 (56.3%) 16 (50%) p = 0.748*
Alcohol abuse 21 (13.6%) 5 (15.6%) p = 0.517* 1 (3.1%) 5 (15.6%) p = 0.142***
Hormonal medication 0 (0%) 2 (6.3%) p = 0.027*** 0 (0%) 2 (6.3%) p = 0.229***
Ruptured aneurysms 114 (74%) 15 (46.9%) p = 0.005* 21 (65.6%) 15 (46.9%) p = 0.206*
Multiple aneurysms 44 (28.6%) 16 (50%) p = 0.012* 9 (28.1%) 16 (50%) p = 0.127*
Aneurysm size (mean in cm) 5.7 5.7 0.928** 5.5 5.7 p = 0.397****

Significant results are highlighted in bold

AcomA anterior communicating artery aneurysm, BA basilar tip aneurysm

*chi-square test, **Mann–Whitney U test, ***Fisher exact test, ****t-test