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A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage
BACKGROUND AND PURPOSE: Studies showed that patients with hemorrhagic stroke are at a higher risk of developing deep vein thrombosis (DVT) than those with ischemic stroke. We aimed to develop a risk score (intracerebral hemorrhage-associated deep vein thrombosis score, ICH-DVT) for predicting in-hos...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650187/ https://www.ncbi.nlm.nih.gov/pubmed/36388194 http://dx.doi.org/10.3389/fneur.2022.930500 |
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author | Ji, Ruijun Wang, Linlin Liu, Xinyu Liu, Yanfang Wang, Dandan Wang, Wenjuan Zhang, Runhua Jiang, Ruixuan Jia, Jiaokun Feng, Hao Ding, Zeyu Ju, Yi Lu, Jingjing Liu, Gaifen Wang, Yongjun Zhao, Xingquan |
author_facet | Ji, Ruijun Wang, Linlin Liu, Xinyu Liu, Yanfang Wang, Dandan Wang, Wenjuan Zhang, Runhua Jiang, Ruixuan Jia, Jiaokun Feng, Hao Ding, Zeyu Ju, Yi Lu, Jingjing Liu, Gaifen Wang, Yongjun Zhao, Xingquan |
author_sort | Ji, Ruijun |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Studies showed that patients with hemorrhagic stroke are at a higher risk of developing deep vein thrombosis (DVT) than those with ischemic stroke. We aimed to develop a risk score (intracerebral hemorrhage-associated deep vein thrombosis score, ICH-DVT) for predicting in-hospital DVT after ICH. METHODS: The ICH-DVT was developed based on the Beijing Registration of Intracerebral Hemorrhage, in which eligible patients were randomly divided into derivation (60%) and internal validation cohorts (40%). External validation was performed using the iMCAS study (In-hospital Medical Complication after Acute Stroke). Independent predictors of in-hospital DVT after ICH were obtained using multivariable logistic regression, and β-coefficients were used to generate a scoring system of the ICH-DVT. The area under the receiver operating characteristic curve (AUROC) and the Hosmer–Lemeshow goodness-of-fit test were used to assess model discrimination and calibration, respectively. RESULTS: The overall in-hospital DVT after ICH was 6.3%, 6.0%, and 5.7% in the derivation (n = 1,309), internal validation (n = 655), and external validation (n = 314) cohorts, respectively. A 31-point ICH-DVT was developed from the set of independent predictors including age, hematoma volume, subarachnoid extension, pneumonia, gastrointestinal bleeding, and length of hospitalization. The ICH-DVT showed good discrimination (AUROC) in the derivation (0.81; 95%CI = 0.79–0.83), internal validation (0.83, 95%CI = 0.80–0.86), and external validation (0.88; 95%CI = 0.84–0.92) cohorts. The ICH-DVT was well calibrated (Hosmer–Lemeshow test) in the derivation (P = 0.53), internal validation (P = 0.38), and external validation (P = 0.06) cohorts. CONCLUSION: The ICH-DVT is a valid grading scale for predicting in-hospital DVT after ICH. Further studies on the effect of the ICH-DVT on clinical outcomes after ICH are warranted. |
format | Online Article Text |
id | pubmed-9650187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96501872022-11-15 A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage Ji, Ruijun Wang, Linlin Liu, Xinyu Liu, Yanfang Wang, Dandan Wang, Wenjuan Zhang, Runhua Jiang, Ruixuan Jia, Jiaokun Feng, Hao Ding, Zeyu Ju, Yi Lu, Jingjing Liu, Gaifen Wang, Yongjun Zhao, Xingquan Front Neurol Neurology BACKGROUND AND PURPOSE: Studies showed that patients with hemorrhagic stroke are at a higher risk of developing deep vein thrombosis (DVT) than those with ischemic stroke. We aimed to develop a risk score (intracerebral hemorrhage-associated deep vein thrombosis score, ICH-DVT) for predicting in-hospital DVT after ICH. METHODS: The ICH-DVT was developed based on the Beijing Registration of Intracerebral Hemorrhage, in which eligible patients were randomly divided into derivation (60%) and internal validation cohorts (40%). External validation was performed using the iMCAS study (In-hospital Medical Complication after Acute Stroke). Independent predictors of in-hospital DVT after ICH were obtained using multivariable logistic regression, and β-coefficients were used to generate a scoring system of the ICH-DVT. The area under the receiver operating characteristic curve (AUROC) and the Hosmer–Lemeshow goodness-of-fit test were used to assess model discrimination and calibration, respectively. RESULTS: The overall in-hospital DVT after ICH was 6.3%, 6.0%, and 5.7% in the derivation (n = 1,309), internal validation (n = 655), and external validation (n = 314) cohorts, respectively. A 31-point ICH-DVT was developed from the set of independent predictors including age, hematoma volume, subarachnoid extension, pneumonia, gastrointestinal bleeding, and length of hospitalization. The ICH-DVT showed good discrimination (AUROC) in the derivation (0.81; 95%CI = 0.79–0.83), internal validation (0.83, 95%CI = 0.80–0.86), and external validation (0.88; 95%CI = 0.84–0.92) cohorts. The ICH-DVT was well calibrated (Hosmer–Lemeshow test) in the derivation (P = 0.53), internal validation (P = 0.38), and external validation (P = 0.06) cohorts. CONCLUSION: The ICH-DVT is a valid grading scale for predicting in-hospital DVT after ICH. Further studies on the effect of the ICH-DVT on clinical outcomes after ICH are warranted. Frontiers Media S.A. 2022-10-28 /pmc/articles/PMC9650187/ /pubmed/36388194 http://dx.doi.org/10.3389/fneur.2022.930500 Text en Copyright © 2022 Ji, Wang, Liu, Liu, Wang, Wang, Zhang, Jiang, Jia, Feng, Ding, Ju, Lu, Liu, Wang, Zhao and Beijing Registration of Intracerebral Hemorrhage investigators. 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 | Neurology Ji, Ruijun Wang, Linlin Liu, Xinyu Liu, Yanfang Wang, Dandan Wang, Wenjuan Zhang, Runhua Jiang, Ruixuan Jia, Jiaokun Feng, Hao Ding, Zeyu Ju, Yi Lu, Jingjing Liu, Gaifen Wang, Yongjun Zhao, Xingquan A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage |
title | A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage |
title_full | A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage |
title_fullStr | A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage |
title_full_unstemmed | A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage |
title_short | A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage |
title_sort | novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650187/ https://www.ncbi.nlm.nih.gov/pubmed/36388194 http://dx.doi.org/10.3389/fneur.2022.930500 |
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