Cargando…
A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients
BACKGROUND: A reliable scoring tool to detect the risk of intracerebral hemorrhage (ICH) after intravenous thrombolysis for ischemic stroke is warranted. The present study was designed to develop and validate a new nomogram for individualized prediction of the probability of hemorrhagic transformati...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685652/ https://www.ncbi.nlm.nih.gov/pubmed/33234113 http://dx.doi.org/10.1186/s12883-020-02002-w |
_version_ | 1783613218986393600 |
---|---|
author | Wu, Yaya Chen, Hui Liu, Xueyun Cai, Xiuying Kong, Yan Wang, Hui Zhou, Yun Zhu, Juehua Zhang, Lulu Fang, Qi Li, Tan |
author_facet | Wu, Yaya Chen, Hui Liu, Xueyun Cai, Xiuying Kong, Yan Wang, Hui Zhou, Yun Zhu, Juehua Zhang, Lulu Fang, Qi Li, Tan |
author_sort | Wu, Yaya |
collection | PubMed |
description | BACKGROUND: A reliable scoring tool to detect the risk of intracerebral hemorrhage (ICH) after intravenous thrombolysis for ischemic stroke is warranted. The present study was designed to develop and validate a new nomogram for individualized prediction of the probability of hemorrhagic transformation (HT) in patients treated with intravenous (IV) recombinant tissue plasminogen activator (rt-PA). METHODS: We enrolled patients who suffered from acute ischemic stroke (AIS) with IV rt-PA treatment in our emergency green channel between August 2016 and July 2018. The main outcome was defined as any type of intracerebral hemorrhage according to the European Cooperative Acute Stroke Study II (ECASS II). All patients were randomly divided into two cohorts: the primary cohort and the validation cohort. On the basis of multivariate logistic model, the predictive nomogram was generated. The performance of the nomogram was evaluated by Harrell’s concordance index (C-index) and calibration plot. RESULTS: A total of 194 patients with complete data were enrolled, of whom 131 comprised the primary cohort and 63 comprised the validation cohort, with HT rate 12.2, 9.5% respectively. The score of chronic disease scale (CDS), the global burden of cerebral small vascular disease (CSVD), National Institutes of Health Stroke Scale (NIHSS) score ≥ 13, and onset-to-treatment time (OTT) ≥ 180 were detected important determinants of ICH and included to construct the nomogram. The nomogram derived from the primary cohort for HT had C- Statistics of 0.9562 and the calibration plot revealed generally fit in predicting the risk of HT. Furthermore, we made a comparison between our new nomogram and several other risk-assessed scales for HT with receiver operating characteristic (ROC) curve analysis, and the results showed the nomogram model gave an area under curve of 0.9562 (95%CI, 0.9221–0.9904, P < 0.01) greater than HAT (Hemorrhage After Thrombolysis), SEDAN (blood Sugar, Early infarct and hyper Dense cerebral artery sign on non-contrast computed tomography, Age, and NIHSS) and SPAN-100 (Stroke Prognostication using Age and NIHSS) scores. CONCLUSIONS: This proposed nomogram based on the score of CDS, the global burden of CSVD, NIHSS score ≥ 13, and OTT ≥ 180 gives rise to a more accurate and more comprehensive prediction for HT in patients with ischemic stroke receiving IV rt-PA treatment. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12883-020-02002-w. |
format | Online Article Text |
id | pubmed-7685652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76856522020-11-25 A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients Wu, Yaya Chen, Hui Liu, Xueyun Cai, Xiuying Kong, Yan Wang, Hui Zhou, Yun Zhu, Juehua Zhang, Lulu Fang, Qi Li, Tan BMC Neurol Research Article BACKGROUND: A reliable scoring tool to detect the risk of intracerebral hemorrhage (ICH) after intravenous thrombolysis for ischemic stroke is warranted. The present study was designed to develop and validate a new nomogram for individualized prediction of the probability of hemorrhagic transformation (HT) in patients treated with intravenous (IV) recombinant tissue plasminogen activator (rt-PA). METHODS: We enrolled patients who suffered from acute ischemic stroke (AIS) with IV rt-PA treatment in our emergency green channel between August 2016 and July 2018. The main outcome was defined as any type of intracerebral hemorrhage according to the European Cooperative Acute Stroke Study II (ECASS II). All patients were randomly divided into two cohorts: the primary cohort and the validation cohort. On the basis of multivariate logistic model, the predictive nomogram was generated. The performance of the nomogram was evaluated by Harrell’s concordance index (C-index) and calibration plot. RESULTS: A total of 194 patients with complete data were enrolled, of whom 131 comprised the primary cohort and 63 comprised the validation cohort, with HT rate 12.2, 9.5% respectively. The score of chronic disease scale (CDS), the global burden of cerebral small vascular disease (CSVD), National Institutes of Health Stroke Scale (NIHSS) score ≥ 13, and onset-to-treatment time (OTT) ≥ 180 were detected important determinants of ICH and included to construct the nomogram. The nomogram derived from the primary cohort for HT had C- Statistics of 0.9562 and the calibration plot revealed generally fit in predicting the risk of HT. Furthermore, we made a comparison between our new nomogram and several other risk-assessed scales for HT with receiver operating characteristic (ROC) curve analysis, and the results showed the nomogram model gave an area under curve of 0.9562 (95%CI, 0.9221–0.9904, P < 0.01) greater than HAT (Hemorrhage After Thrombolysis), SEDAN (blood Sugar, Early infarct and hyper Dense cerebral artery sign on non-contrast computed tomography, Age, and NIHSS) and SPAN-100 (Stroke Prognostication using Age and NIHSS) scores. CONCLUSIONS: This proposed nomogram based on the score of CDS, the global burden of CSVD, NIHSS score ≥ 13, and OTT ≥ 180 gives rise to a more accurate and more comprehensive prediction for HT in patients with ischemic stroke receiving IV rt-PA treatment. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12883-020-02002-w. BioMed Central 2020-11-24 /pmc/articles/PMC7685652/ /pubmed/33234113 http://dx.doi.org/10.1186/s12883-020-02002-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Wu, Yaya Chen, Hui Liu, Xueyun Cai, Xiuying Kong, Yan Wang, Hui Zhou, Yun Zhu, Juehua Zhang, Lulu Fang, Qi Li, Tan A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients |
title | A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients |
title_full | A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients |
title_fullStr | A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients |
title_full_unstemmed | A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients |
title_short | A new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients |
title_sort | new nomogram for individualized prediction of the probability of hemorrhagic transformation after intravenous thrombolysis for ischemic stroke patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685652/ https://www.ncbi.nlm.nih.gov/pubmed/33234113 http://dx.doi.org/10.1186/s12883-020-02002-w |
work_keys_str_mv | AT wuyaya anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT chenhui anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT liuxueyun anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT caixiuying anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT kongyan anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT wanghui anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT zhouyun anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT zhujuehua anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT zhanglulu anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT fangqi anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT litan anewnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT wuyaya newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT chenhui newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT liuxueyun newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT caixiuying newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT kongyan newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT wanghui newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT zhouyun newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT zhujuehua newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT zhanglulu newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT fangqi newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients AT litan newnomogramforindividualizedpredictionoftheprobabilityofhemorrhagictransformationafterintravenousthrombolysisforischemicstrokepatients |