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Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis

BACKGROUND AND PURPOSE: The prediction of neurological outcomes in ischemic stroke patients is very useful in treatment choices, as well as in post-stroke management. This study is to develop a convenient nomogram for the bedside evaluation of stroke patients with intravenous thrombolysis. MATERIALS...

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Autores principales: Ping, Zheng, Min, Li, Qiuyun, Lu, Xu, Chen, Qingke, Bai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627298/
https://www.ncbi.nlm.nih.gov/pubmed/36340757
http://dx.doi.org/10.3389/fnins.2022.1017883
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author Ping, Zheng
Min, Li
Qiuyun, Lu
Xu, Chen
Qingke, Bai
author_facet Ping, Zheng
Min, Li
Qiuyun, Lu
Xu, Chen
Qingke, Bai
author_sort Ping, Zheng
collection PubMed
description BACKGROUND AND PURPOSE: The prediction of neurological outcomes in ischemic stroke patients is very useful in treatment choices, as well as in post-stroke management. This study is to develop a convenient nomogram for the bedside evaluation of stroke patients with intravenous thrombolysis. MATERIALS AND METHODS: We reviewed all enrolled stroke patients with intravenous thrombolysis retrospectively. Favorable outcome was defined as modified Rankin Score (mRs) less than 2 at 90 days post thrombolysis. We compared the clinical characteristics between patients with favorable outcome and poor outcome. Then, we applied logistic regression models and compared their predictability. RESULTS: A total of 918 patients were enrolled in this study, 448 patients from one hospital were included to develop a nomogram, whereas 470 patients from the other hospital were used for the external validation. Associated risk factors were identified by multivariate logistic regression. The nomogram was validated by the area under the receiver operating characteristic curve (AUC). A nomogram was developed with baseline NIHSS, blood sugar, blood cholesterol level, part-and full anterior circulation infarction (OCSP type). The AUC was 0.767 (95% CI 0.653–0.772) and 0.836 (95% CI 0.697–0.847) in the derivation and external validation cohorts, respectively. The calibration plot for the probability of severe neurological outcome showed an optimal agreement between the prediction by nomogram and actual observation in both derivation and validation cohorts. CONCLUSION: A convenient outcome evaluation nomogram for patients with intravenous thrombolysis was developed, which could be used by physicians in making clinical decisions and predicting patients’ prognosis.
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spelling pubmed-96272982022-11-03 Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis Ping, Zheng Min, Li Qiuyun, Lu Xu, Chen Qingke, Bai Front Neurosci Neuroscience BACKGROUND AND PURPOSE: The prediction of neurological outcomes in ischemic stroke patients is very useful in treatment choices, as well as in post-stroke management. This study is to develop a convenient nomogram for the bedside evaluation of stroke patients with intravenous thrombolysis. MATERIALS AND METHODS: We reviewed all enrolled stroke patients with intravenous thrombolysis retrospectively. Favorable outcome was defined as modified Rankin Score (mRs) less than 2 at 90 days post thrombolysis. We compared the clinical characteristics between patients with favorable outcome and poor outcome. Then, we applied logistic regression models and compared their predictability. RESULTS: A total of 918 patients were enrolled in this study, 448 patients from one hospital were included to develop a nomogram, whereas 470 patients from the other hospital were used for the external validation. Associated risk factors were identified by multivariate logistic regression. The nomogram was validated by the area under the receiver operating characteristic curve (AUC). A nomogram was developed with baseline NIHSS, blood sugar, blood cholesterol level, part-and full anterior circulation infarction (OCSP type). The AUC was 0.767 (95% CI 0.653–0.772) and 0.836 (95% CI 0.697–0.847) in the derivation and external validation cohorts, respectively. The calibration plot for the probability of severe neurological outcome showed an optimal agreement between the prediction by nomogram and actual observation in both derivation and validation cohorts. CONCLUSION: A convenient outcome evaluation nomogram for patients with intravenous thrombolysis was developed, which could be used by physicians in making clinical decisions and predicting patients’ prognosis. Frontiers Media S.A. 2022-10-19 /pmc/articles/PMC9627298/ /pubmed/36340757 http://dx.doi.org/10.3389/fnins.2022.1017883 Text en Copyright © 2022 Ping, Min, Qiuyun, Xu and Qingke. 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 Neuroscience
Ping, Zheng
Min, Li
Qiuyun, Lu
Xu, Chen
Qingke, Bai
Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis
title Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis
title_full Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis
title_fullStr Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis
title_full_unstemmed Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis
title_short Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis
title_sort prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627298/
https://www.ncbi.nlm.nih.gov/pubmed/36340757
http://dx.doi.org/10.3389/fnins.2022.1017883
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