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Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition
Joint Authors
Wang, Haichao
Zhang, Quanbin
Zhang, Xiang
Yang, Hua
Dong, Qiong
Zhao, Yanxin
Meng, Longyan
Shu, Zhongwen
Chen, Liuwei
Gong, Li
Source
Oxidative Medicine and Cellular Longevity
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Meng, Longyan& Wang, Haichao& Yang, Hua& Zhang, Xiang& Zhang, Quanbin& Dong, Qiong…[et al.]. 2020. Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition. Oxidative Medicine and Cellular Longevity،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1205734
Modern Language Association (MLA)
Meng, Longyan…[et al.]. Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition. Oxidative Medicine and Cellular Longevity No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1205734
American Medical Association (AMA)
Meng, Longyan& Wang, Haichao& Yang, Hua& Zhang, Xiang& Zhang, Quanbin& Dong, Qiong…[et al.]. Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition. Oxidative Medicine and Cellular Longevity. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1205734
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205734