A Novel Scoring System Predicting Aneurysm Incomplete Occlusion after Flow Diversion: A 10-year experience.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
31 Jul 2024
Historique:
received: 08 05 2024
revised: 23 07 2024
accepted: 24 07 2024
medline: 3 8 2024
pubmed: 3 8 2024
entrez: 2 8 2024
Statut: aheadofprint

Résumé

Factors impacting the rate of aneurysm occlusion after FD have been well described in the literature. In this paper, we sought to evaluate those variables to develop and validate a scoring system predicting aneurysm incomplete occlusion after FD. Retrospective review of patients with intracranial aneurysms treated with FD at a single institution between March 2013 and March 2023. Multivariable logistic regression model was developed using factors associated with aneurysm incomplete occlusion. The ABC scoring system consisted of: Age (< 60 years old: 0, 60-69 years: 1, 70-79: 2, and ≥80: 3), Branch coming out of the aneurysm dome/neck (yes: 2, no:0), and Cigarette smoking history (never-smoker:1, current or past smoker: 0). The scoring system performance was evaluated with receiver operating characteristic curve and calculating the area under the curve (AUC). A total of 449 patients with 563 aneurysms treated in 482 procedures were evaluated. Most cases were females (81.7%) with a median age of 59 years-old. At a median follow-up of 13.2 months, 84.0% of aneurysms were completely or near-complete occluded. The scoring system had an AUC of 0.71. A value ≥2, reached a sensitivity of 74.4%, specificity of 60.9%, an LR+ of 1.90, and proved to be reliable in predicting the risk of incomplete occlusion (OR=4.53; 95% confidence interval, 2.73-7.54; P < 0.001). The proposed ABC scoring system can be used to evaluate the risk of aneurysm incomplete occlusion after treatment with FD, identifying patients who would benefit from adjunctive coiling or alternate treatment modalities.

Sections du résumé

BACKGROUND BACKGROUND
Factors impacting the rate of aneurysm occlusion after FD have been well described in the literature. In this paper, we sought to evaluate those variables to develop and validate a scoring system predicting aneurysm incomplete occlusion after FD.
METHODS METHODS
Retrospective review of patients with intracranial aneurysms treated with FD at a single institution between March 2013 and March 2023. Multivariable logistic regression model was developed using factors associated with aneurysm incomplete occlusion. The ABC scoring system consisted of: Age (< 60 years old: 0, 60-69 years: 1, 70-79: 2, and ≥80: 3), Branch coming out of the aneurysm dome/neck (yes: 2, no:0), and Cigarette smoking history (never-smoker:1, current or past smoker: 0). The scoring system performance was evaluated with receiver operating characteristic curve and calculating the area under the curve (AUC).
RESULTS RESULTS
A total of 449 patients with 563 aneurysms treated in 482 procedures were evaluated. Most cases were females (81.7%) with a median age of 59 years-old. At a median follow-up of 13.2 months, 84.0% of aneurysms were completely or near-complete occluded. The scoring system had an AUC of 0.71. A value ≥2, reached a sensitivity of 74.4%, specificity of 60.9%, an LR+ of 1.90, and proved to be reliable in predicting the risk of incomplete occlusion (OR=4.53; 95% confidence interval, 2.73-7.54; P < 0.001).
CONCLUSION CONCLUSIONS
The proposed ABC scoring system can be used to evaluate the risk of aneurysm incomplete occlusion after treatment with FD, identifying patients who would benefit from adjunctive coiling or alternate treatment modalities.

Identifiants

pubmed: 39094933
pii: S1878-8750(24)01323-8
doi: 10.1016/j.wneu.2024.07.183
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Felipe Ramirez-Velandia (F)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Alejandro Enriquez-Marulanda (A)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Jean Filo (J)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Thomas B Fodor (TB)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Daniel Sconzo (D)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States.

Emmanuel Mensah (E)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Michael Young (M)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Sandeep Muram (S)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Justin H Granstein (JH)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Max Shutran (M)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Philipp Taussky (P)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States.

Christopher S Ogilvy (CS)

Neurosurgical Service, Beth Israel Deaconess Medical Center. Boston, MA, United States; Harvard Medical School. Boston, MA, United States. Electronic address: cogilvy@bidmc.harvard.edu.

Classifications MeSH