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A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms

OBJECTIVES: To identify hemodynamic risk factors for intracranial aneurysm rupture and establish a predictive model to aid evaluation. METHODS: We analyzed the hemodynamic parameters of 91 pairs of ruptured mirror aneurysms. A conditional univariate analysis was used for the continuous variables. A...

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Autores principales: Hu, Sheng-qi, Chen, Ru-dong, Xu, Wei-dong, Li, Hua, Yu, Jia-sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502008/
https://www.ncbi.nlm.nih.gov/pubmed/36158942
http://dx.doi.org/10.3389/fneur.2022.998557
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author Hu, Sheng-qi
Chen, Ru-dong
Xu, Wei-dong
Li, Hua
Yu, Jia-sheng
author_facet Hu, Sheng-qi
Chen, Ru-dong
Xu, Wei-dong
Li, Hua
Yu, Jia-sheng
author_sort Hu, Sheng-qi
collection PubMed
description OBJECTIVES: To identify hemodynamic risk factors for intracranial aneurysm rupture and establish a predictive model to aid evaluation. METHODS: We analyzed the hemodynamic parameters of 91 pairs of ruptured mirror aneurysms. A conditional univariate analysis was used for the continuous variables. A conditional multivariate logistic regression analysis was performed to identify the independent risk factors. Differences where p < 0.05 were statistically significant. A predictive model was established based on independent risk factors. Odds ratios (ORs) were used to score points. The validation cohort consisted of 189 aneurysms. Receiver operating characteristic curves were generated to determine the cutoff values and area under the curves (AUCs) of the predictive model and independent risk factors. RESULTS: The conditional multivariate logistic analysis showed that the low shear area (LSA) (OR = 70.322, p = 0.044, CI = 1.112–4,445.256), mean combined hemodynamic parameter (CHP) (>0.087) (OR = 3.171, p = 0.034, CI = 1.089–9.236), and wall shear stress gradient (WSSG) ratio (>893.180) (OR = 5.740, p = 0.003, CI = 1.950–16.898) were independent risk factors. A prediction model was established: 23(*)LSA + 1(*)CHP mean (>0.087: yes = 1, no = 0) + 2 (*) WSSG ratio (>893.180: yes = 1, no = 0). The AUC values of the predictive model, LSA, mean CHP (>0.087), and WSSG ratio (>893.180) were 0.748, 0.700, 0.654, and 0.703, respectively. The predictive model and LSA cutoff values were 1.283 and 0.016, respectively. In the validation cohort, the predictive model, LSA, CHP (>0.087), and WSSG ratio (>893.180) were 0.736, 0.702, 0.689, and 0.706, respectively. CONCLUSIONS: LSA, CHP (>0.087), and WSSG ratio (>893.180) were independent risk factors for aneurysm rupture. Our predictive model could aid practical evaluation.
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spelling pubmed-95020082022-09-24 A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms Hu, Sheng-qi Chen, Ru-dong Xu, Wei-dong Li, Hua Yu, Jia-sheng Front Neurol Neurology OBJECTIVES: To identify hemodynamic risk factors for intracranial aneurysm rupture and establish a predictive model to aid evaluation. METHODS: We analyzed the hemodynamic parameters of 91 pairs of ruptured mirror aneurysms. A conditional univariate analysis was used for the continuous variables. A conditional multivariate logistic regression analysis was performed to identify the independent risk factors. Differences where p < 0.05 were statistically significant. A predictive model was established based on independent risk factors. Odds ratios (ORs) were used to score points. The validation cohort consisted of 189 aneurysms. Receiver operating characteristic curves were generated to determine the cutoff values and area under the curves (AUCs) of the predictive model and independent risk factors. RESULTS: The conditional multivariate logistic analysis showed that the low shear area (LSA) (OR = 70.322, p = 0.044, CI = 1.112–4,445.256), mean combined hemodynamic parameter (CHP) (>0.087) (OR = 3.171, p = 0.034, CI = 1.089–9.236), and wall shear stress gradient (WSSG) ratio (>893.180) (OR = 5.740, p = 0.003, CI = 1.950–16.898) were independent risk factors. A prediction model was established: 23(*)LSA + 1(*)CHP mean (>0.087: yes = 1, no = 0) + 2 (*) WSSG ratio (>893.180: yes = 1, no = 0). The AUC values of the predictive model, LSA, mean CHP (>0.087), and WSSG ratio (>893.180) were 0.748, 0.700, 0.654, and 0.703, respectively. The predictive model and LSA cutoff values were 1.283 and 0.016, respectively. In the validation cohort, the predictive model, LSA, CHP (>0.087), and WSSG ratio (>893.180) were 0.736, 0.702, 0.689, and 0.706, respectively. CONCLUSIONS: LSA, CHP (>0.087), and WSSG ratio (>893.180) were independent risk factors for aneurysm rupture. Our predictive model could aid practical evaluation. Frontiers Media S.A. 2022-09-09 /pmc/articles/PMC9502008/ /pubmed/36158942 http://dx.doi.org/10.3389/fneur.2022.998557 Text en Copyright © 2022 Hu, Chen, Xu, Li and Yu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Hu, Sheng-qi
Chen, Ru-dong
Xu, Wei-dong
Li, Hua
Yu, Jia-sheng
A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms
title A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms
title_full A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms
title_fullStr A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms
title_full_unstemmed A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms
title_short A predictive hemodynamic model based on risk factors for ruptured mirror aneurysms
title_sort predictive hemodynamic model based on risk factors for ruptured mirror aneurysms
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502008/
https://www.ncbi.nlm.nih.gov/pubmed/36158942
http://dx.doi.org/10.3389/fneur.2022.998557
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