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Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition

An easy scoring system to predict the risk of poor outcome after mechanical thrombectomy among the elderly is currently not available. Therefore, we aimed to develop a nomogram for predicting the probability of negative prognosis in aged patients with acute ischemic stroke undergoing thrombectomy. I...

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Autores principales: Meng, Longyan, Wang, Haichao, Yang, Hua, Zhang, Xiang, Zhang, Quanbin, Dong, Qiong, Shu, Zhongwen, Chen, Liuwei, Gong, Li, Zhao, Yanxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765717/
https://www.ncbi.nlm.nih.gov/pubmed/33381271
http://dx.doi.org/10.1155/2020/8823283
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author Meng, Longyan
Wang, Haichao
Yang, Hua
Zhang, Xiang
Zhang, Quanbin
Dong, Qiong
Shu, Zhongwen
Chen, Liuwei
Gong, Li
Zhao, Yanxin
author_facet Meng, Longyan
Wang, Haichao
Yang, Hua
Zhang, Xiang
Zhang, Quanbin
Dong, Qiong
Shu, Zhongwen
Chen, Liuwei
Gong, Li
Zhao, Yanxin
author_sort Meng, Longyan
collection PubMed
description An easy scoring system to predict the risk of poor outcome after mechanical thrombectomy among the elderly is currently not available. Therefore, we aimed to develop a nomogram for predicting the probability of negative prognosis in aged patients with acute ischemic stroke undergoing thrombectomy. In addition, we sought to investigate the association between histological thrombus composition and stroke characteristics. To this end, we prospectively studied a developed cohort using data collected from a stroke center from November 2015 to December 2019. The main outcome was functional independence, defined as a modified Rankin Scale score ≤ 2 at 90 days following a mechanical thrombectomy. A nomogram model based on multivariate logistic models was generated. The retrieved thrombi were stained with hematoxylin and eosin and assessed according to histological composition. Our results demonstrated that age ≥ 72 years was independently associated with poor outcome. A total of 304 participants completed the follow-up data to generate the nomogram model. After multivariate logistic regression, five variables remained independent predictors of outcome, including older age, hemorrhagic transformation, thrombolysis in cerebral infarction score, National Institute of Health Stroke score, and neutrophil-to-lymphocyte ratio, and were used to generate the nomogram. The area under the receiver-operating characteristic curve of the model was 0.803. The clots from elderly subjects with large-artery atherosclerosis, anterior circulation, and successful recanalization groups had a higher percentage of fibrin compared to those of younger patients. This is the first nomogram to be developed and validated in a stroke center cohort for individualized prediction of poor outcome in elderly patients after mechanical thrombectomy. Clot composition provides valuable information on the underlying pathogenesis of oxidation in older patients.
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spelling pubmed-77657172020-12-29 Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition Meng, Longyan Wang, Haichao Yang, Hua Zhang, Xiang Zhang, Quanbin Dong, Qiong Shu, Zhongwen Chen, Liuwei Gong, Li Zhao, Yanxin Oxid Med Cell Longev Research Article An easy scoring system to predict the risk of poor outcome after mechanical thrombectomy among the elderly is currently not available. Therefore, we aimed to develop a nomogram for predicting the probability of negative prognosis in aged patients with acute ischemic stroke undergoing thrombectomy. In addition, we sought to investigate the association between histological thrombus composition and stroke characteristics. To this end, we prospectively studied a developed cohort using data collected from a stroke center from November 2015 to December 2019. The main outcome was functional independence, defined as a modified Rankin Scale score ≤ 2 at 90 days following a mechanical thrombectomy. A nomogram model based on multivariate logistic models was generated. The retrieved thrombi were stained with hematoxylin and eosin and assessed according to histological composition. Our results demonstrated that age ≥ 72 years was independently associated with poor outcome. A total of 304 participants completed the follow-up data to generate the nomogram model. After multivariate logistic regression, five variables remained independent predictors of outcome, including older age, hemorrhagic transformation, thrombolysis in cerebral infarction score, National Institute of Health Stroke score, and neutrophil-to-lymphocyte ratio, and were used to generate the nomogram. The area under the receiver-operating characteristic curve of the model was 0.803. The clots from elderly subjects with large-artery atherosclerosis, anterior circulation, and successful recanalization groups had a higher percentage of fibrin compared to those of younger patients. This is the first nomogram to be developed and validated in a stroke center cohort for individualized prediction of poor outcome in elderly patients after mechanical thrombectomy. Clot composition provides valuable information on the underlying pathogenesis of oxidation in older patients. Hindawi 2020-12-17 /pmc/articles/PMC7765717/ /pubmed/33381271 http://dx.doi.org/10.1155/2020/8823283 Text en Copyright © 2020 Longyan Meng et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Meng, Longyan
Wang, Haichao
Yang, Hua
Zhang, Xiang
Zhang, Quanbin
Dong, Qiong
Shu, Zhongwen
Chen, Liuwei
Gong, Li
Zhao, Yanxin
Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition
title Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition
title_full Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition
title_fullStr Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition
title_full_unstemmed Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition
title_short Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition
title_sort nomogram to predict poor outcome after mechanical thrombectomy at older age and histological analysis of thrombus composition
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765717/
https://www.ncbi.nlm.nih.gov/pubmed/33381271
http://dx.doi.org/10.1155/2020/8823283
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