Literature DB >> 33637879

Tobacco use and age are associated with different morphologic features of anterior communicating artery aneurysms.

Jian Zhang1,2, Pui Man Rosalind Lai1, Anil Can1,3, Srinivasan Mukundan4, Victor M Castro5, Dmitriy Dligach6,7, Sean Finan6, Vivian S Gainer5, Nancy A Shadick8, Guergana Savova6, Shawn N Murphy5,9, Tianxi Cai10, Scott T Weiss11, Rose Du12,13.   

Abstract

We present a cohort of patients with anterior communicating artery (ACoA) aneurysms to investigate morphological characteristics and clinical factors associated with rupture of the aneurysms. 505 patients with ACoA aneurysms were identified at the Brigham and Women's Hospital and Massachusetts General Hospital between 1990 and 2016, with available CT angiography (CTA). Three-dimensional (3D) reconstructions were performed to evaluate aneurysmal morphologic features, including location, projection, irregularity, the presence of daughter dome, height, height/width ratio, and relationships between surrounding vessels. Patient risk factors assessed included patient age, sex, tobacco use, alcohol use, and family history of aneurysms and aneurysmal subarachnoid hemorrhage. Logistic regression was used to build a predictive ACoA score for rupture. Morphologic features associated with ruptured ACoA aneurysms were the presence of a daughter dome (OR 21.4, 95% CI 10.6-43.1), smaller neck diameter (OR 0.55, 95% CI 0.42-0.71), larger aspect ratio (OR 3.57, 95% CI 2.05-6.24), larger flow angle (OR 1.03, 95% CI 1.02-1.05), and smaller ipsilateral A2-ACoA angle (OR 0.98, 95% CI 0.97-1.00). Tobacco use was predominantly associated with morphological factors intrinsic to the aneurysm that were associated with rupture while younger age was also associated with morphologic features extrinsic to the aneurysm that were associated with rupture. The ACoA score had good predictive capacity for rupture with AUC = 0.92 using the 0.632 bootstrap cross-validation for correction of overfitting bias. Ruptured ACoA aneurysms were associated with morphological features that are simple to assess using a simple scoring system. Tobacco use and younger age were predominantly associated with intrinsic and extrinsic morphological features characteristic of rupture, respectively.

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Year:  2021        PMID: 33637879      PMCID: PMC7910488          DOI: 10.1038/s41598-021-84315-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  29 in total

1.  Cigarette smoking, hypertension and the risk of subarachnoid hemorrhage: a population-based case-control study.

Authors:  R Bonita
Journal:  Stroke       Date:  1986 Sep-Oct       Impact factor: 7.914

2.  Morphological Variables Associated With Ruptured Middle Cerebral Artery Aneurysms.

Authors:  Jian Zhang; Anil Can; Srinivasan Mukundan; Michael Steigner; Victor M Castro; Dmitriy Dligach; Sean Finan; Sheng Yu; Vivian Gainer; Nancy A Shadick; Guergana Savova; Shawn Murphy; Tianxi Cai; Zhong Wang; Scott T Weiss; Rose Du
Journal:  Neurosurgery       Date:  2019-07-01       Impact factor: 4.654

3.  The effect of anterior projection of aneurysm dome on the rupture of anterior communicating artery aneurysms compared with posterior projection.

Authors:  Xiaotong Shao; Hao Wang; Yan Wang; Ting Xu; Yingbao Huang; Jincheng Wang; Weijian Chen; Yunjun Yang; Bing Zhao
Journal:  Clin Neurol Neurosurg       Date:  2016-02-18       Impact factor: 1.876

Review 4.  Anterior Communicating Artery Aneurysm Morphology and the Risk of Rupture.

Authors:  Wu Cai; Chunhong Hu; Jianping Gong; Qing Lan
Journal:  World Neurosurg       Date:  2017-09-27       Impact factor: 2.104

5.  Intrinsic, Transitional, and Extrinsic Morphological Factors Associated With Rupture of Intracranial Aneurysms.

Authors:  Allen L Ho; Ning Lin; Kai U Frerichs; Rose Du
Journal:  Neurosurgery       Date:  2015-09       Impact factor: 4.654

6.  Smoking and Intracranial Aneurysm Morphology.

Authors:  Allen L Ho; Ning Lin; Kai U Frerichs; Rose Du
Journal:  Neurosurgery       Date:  2015-07       Impact factor: 4.654

7.  Associations of hemodynamics, morphology, and patient characteristics with aneurysm rupture stratified by aneurysm location.

Authors:  Felicitas J Detmer; Bong Jae Chung; Carlos Jimenez; Farid Hamzei-Sichani; David Kallmes; Christopher Putman; Juan R Cebral
Journal:  Neuroradiology       Date:  2018-11-19       Impact factor: 2.804

8.  Morphological and clinical risk factors for the rupture of anterior communicating artery aneurysms.

Authors:  Hidetoshi Matsukawa; Akihiro Uemura; Motoharu Fujii; Minobu Kamo; Osamu Takahashi; Sosuke Sumiyoshi
Journal:  J Neurosurg       Date:  2012-12-14       Impact factor: 5.115

9.  Association of intracranial aneurysm rupture with smoking duration, intensity, and cessation.

Authors:  Anil Can; Victor M Castro; Yildirim H Ozdemir; Sarajune Dagen; Sheng Yu; Dmitriy Dligach; Sean Finan; Vivian Gainer; Nancy A Shadick; Shawn Murphy; Tianxi Cai; Guergana Savova; Ruben Dammers; Scott T Weiss; Rose Du
Journal:  Neurology       Date:  2017-08-30       Impact factor: 9.910

10.  High throughput tools to access images from clinical archives for research.

Authors:  Shawn N Murphy; Christopher Herrick; Yanbing Wang; Taowei David Wang; Darren Sack; Katherine P Andriole; Jesse Wei; Nathaniel Reynolds; Wendy Plesniak; Bruce R Rosen; Steven Pieper; Randy L Gollub
Journal:  J Digit Imaging       Date:  2015-04       Impact factor: 4.056

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