IDENTIFICATION OF RISK FACTORS FOR CEREBRAL ANEURYSM RUPTURE THROUGH STATISTICAL ANALYSIS

Year 2025, Volume: 11 Issue: 2, 306 - 320, 30.12.2025

Meltem Yavuz Çelikdemir , Ayhan Akbal

https://doi.org/10.51477/mejs.1658742

Abstract

This study examines the relationship between clinical, morphological, and hemodynamic factors and the risk of rupture in individuals with cerebral aneurysms. A logistic regression model was developed to identify variables influencing aneurysm rupture. The results indicate that age (p=0.0074) and comorbidities (p=0.0157) have a statistically significant effect on rupture probability. Variance Inflation Factor (VIF) analysis revealed multicollinearity between the length and width variables (VIF=3.96), while no such relationship was detected for other variables. Chi-square and Mann-Whitney U tests confirmed that age, aneurysm type, and comorbidities differ significantly between patients with and without rupture (p<0.05). Post-hoc analysis further supported statistically significant differences between groups concerning age (p=0.0001), aneurysm type (p=0.0004), and comorbidities (p=0.0039). Fisher’s exact test demonstrated a significant association between rupture risk and variables such as diabetes, ischemic cerebrovascular disease, a history of ischemic stroke, and coronary artery predisposition (p<0.05). This comprehensive analysis highlights the critical role of age, aneurysm type, and specific comorbidities in determining the risk of cerebral aneurysm rupture.

Keywords

Statistical analysis , cerebral aneurysm , rupture risk

Ethical Statement

The author declares that this study required ethics committee approval. The Fırat University Non-Interventional Studies Ethics Committee approved the use of the data in this study with the board decision numbered 2020/12-04, dated September 17, 2020.

Thanks

The authors would like to thank Sait Öztürk for his contributions to the information provided regarding patients with cerebral aneurysms.

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