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A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures

BACKGROUND: Because femoral pseudoaneurysm (FPA) is a dangerous complication of interventional procedures with a risk of life-threatening bleeding, our aim was to develop a predictive nomogram for FPA after neurointervention, and to suggest the best method for early identification of FPA. METHODS: W...

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Autores principales: Yang, Liangliang, Zhao, Puyuan, Liu, Bin, Gao, Yang, Zhou, Hao, Li, Qiuping, Jiang, Yingchuan, Yang, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848365/
https://www.ncbi.nlm.nih.gov/pubmed/35282105
http://dx.doi.org/10.21037/atm-21-6508
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author Yang, Liangliang
Zhao, Puyuan
Liu, Bin
Gao, Yang
Zhou, Hao
Li, Qiuping
Jiang, Yingchuan
Yang, Zhigang
author_facet Yang, Liangliang
Zhao, Puyuan
Liu, Bin
Gao, Yang
Zhou, Hao
Li, Qiuping
Jiang, Yingchuan
Yang, Zhigang
author_sort Yang, Liangliang
collection PubMed
description BACKGROUND: Because femoral pseudoaneurysm (FPA) is a dangerous complication of interventional procedures with a risk of life-threatening bleeding, our aim was to develop a predictive nomogram for FPA after neurointervention, and to suggest the best method for early identification of FPA. METHODS: We searched the PubMed database for literature addressing FPA after interventional procedures to analyze the risk factors, and we also reviewed the clinical data of patients from the Department of Neurosurgery who underwent neurointerventional procedures. Selected parameters were analyzed by univariate and multivariate logistic regression analysis. A nomogram was constructed using the independent risk factors by a multivariate regression model, and was validated by bootstrap resampling method, as well as receiver operating characteristic (ROC) curve, decision curve analysis (DCA) and calibration curve. The influence on the detection rate of FPA with Doppler ultrasound was also analyzed with Fisher’s exact test. RESULTS: According to existing studies, female sex, diabetes and hypertension are major risk factors of FPA. Among 1,098 clinical patients, hypertension (P=0.044), higher body mass index (BMI) (P=0.020), larger sheath size (P=0.049), puncture site hematoma (P=0.011) and closure failure (P=0.003) were identified as independent risk factors. The nomogram including these factors showed robust discrimination [C-index, 0.916; 95% confidence interval (CI): 0.810–1.022] with an area under the curve of 0.916. DCA indicated clinical utility, and the calibration curves showed an acceptable consistency. A significant improvement in the detection rate occurred when Doppler ultrasound was utilized (P=0.031). CONCLUSIONS: The presented nomogram showed favorable predictive accuracy for FPA after neurointervention. We recommend ultrasound examination for patients at high risk of FPA evaluated by the nomogram.
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spelling pubmed-88483652022-03-10 A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures Yang, Liangliang Zhao, Puyuan Liu, Bin Gao, Yang Zhou, Hao Li, Qiuping Jiang, Yingchuan Yang, Zhigang Ann Transl Med Original Article BACKGROUND: Because femoral pseudoaneurysm (FPA) is a dangerous complication of interventional procedures with a risk of life-threatening bleeding, our aim was to develop a predictive nomogram for FPA after neurointervention, and to suggest the best method for early identification of FPA. METHODS: We searched the PubMed database for literature addressing FPA after interventional procedures to analyze the risk factors, and we also reviewed the clinical data of patients from the Department of Neurosurgery who underwent neurointerventional procedures. Selected parameters were analyzed by univariate and multivariate logistic regression analysis. A nomogram was constructed using the independent risk factors by a multivariate regression model, and was validated by bootstrap resampling method, as well as receiver operating characteristic (ROC) curve, decision curve analysis (DCA) and calibration curve. The influence on the detection rate of FPA with Doppler ultrasound was also analyzed with Fisher’s exact test. RESULTS: According to existing studies, female sex, diabetes and hypertension are major risk factors of FPA. Among 1,098 clinical patients, hypertension (P=0.044), higher body mass index (BMI) (P=0.020), larger sheath size (P=0.049), puncture site hematoma (P=0.011) and closure failure (P=0.003) were identified as independent risk factors. The nomogram including these factors showed robust discrimination [C-index, 0.916; 95% confidence interval (CI): 0.810–1.022] with an area under the curve of 0.916. DCA indicated clinical utility, and the calibration curves showed an acceptable consistency. A significant improvement in the detection rate occurred when Doppler ultrasound was utilized (P=0.031). CONCLUSIONS: The presented nomogram showed favorable predictive accuracy for FPA after neurointervention. We recommend ultrasound examination for patients at high risk of FPA evaluated by the nomogram. AME Publishing Company 2022-01 /pmc/articles/PMC8848365/ /pubmed/35282105 http://dx.doi.org/10.21037/atm-21-6508 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Yang, Liangliang
Zhao, Puyuan
Liu, Bin
Gao, Yang
Zhou, Hao
Li, Qiuping
Jiang, Yingchuan
Yang, Zhigang
A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures
title A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures
title_full A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures
title_fullStr A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures
title_full_unstemmed A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures
title_short A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures
title_sort nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848365/
https://www.ncbi.nlm.nih.gov/pubmed/35282105
http://dx.doi.org/10.21037/atm-21-6508
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