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A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression
INTRODUCTION: Acute traumatic intraparenchymal hematoma (tICH) expansion is a major cause of clinical deterioration after brain contusion. Here, an accurate prediction tool for acute tICH expansion is proposed. METHODS: A multicenter hospital-based study for multivariable prediction model was conduc...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857351/ https://www.ncbi.nlm.nih.gov/pubmed/34855160 http://dx.doi.org/10.1007/s40120-021-00306-8 |
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author | Sheng, Jiangtao Chen, Weiqiang Zhuang, Dongzhou Li, Tian Yang, Jinhua Cai, Shirong Chen, Xiaoxuan Liu, Xueer Tian, Fei Huang, Mindong Li, Lianjie Li, Kangsheng |
author_facet | Sheng, Jiangtao Chen, Weiqiang Zhuang, Dongzhou Li, Tian Yang, Jinhua Cai, Shirong Chen, Xiaoxuan Liu, Xueer Tian, Fei Huang, Mindong Li, Lianjie Li, Kangsheng |
author_sort | Sheng, Jiangtao |
collection | PubMed |
description | INTRODUCTION: Acute traumatic intraparenchymal hematoma (tICH) expansion is a major cause of clinical deterioration after brain contusion. Here, an accurate prediction tool for acute tICH expansion is proposed. METHODS: A multicenter hospital-based study for multivariable prediction model was conducted among patients (889 patients in a development dataset and 264 individuals in an external validation dataset) with initial and follow-up computed tomography (CT) imaging for tICH volume evaluation. Semi-automated software was employed to assess tICH expansion. Two multivariate predictive models for acute tICH expansion were developed and externally validated. RESULTS: A total of 198 (22.27%) individuals had remarkable acute tICH expansion. The novel Traumatic Parenchymatous Hematoma Expansion Aid (TPHEA) model retained several variables, including age, coagulopathy, baseline tICH volume, time to baseline CT time, subdural hemorrhage, a novel imaging marker of multihematoma fuzzy sign, and an inflammatory index of monocyte-to-lymphocyte ratio. Compared with multihematoma fuzzy sign, monocyte-to-lymphocyte ratio, and the basic model, the TPHEA model exhibited optimal discrimination, calibration, and clinical net benefits for patients with acute tICH expansion. A TPHEA nomogram was subsequently introduced from this model to facilitate clinical application. In an external dataset, this device showed good predicting performance for acute tICH expansion. CONCLUSIONS: The main predictive factors in the TPHEA nomogram are the monocyte-to-lymphocyte ratio, baseline tICH volume, and multihematoma fuzzy sign. This user-friendly tool can estimate acute tICH expansion and optimize personalized treatments for individuals with brain contusion. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40120-021-00306-8. |
format | Online Article Text |
id | pubmed-8857351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-88573512022-02-23 A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression Sheng, Jiangtao Chen, Weiqiang Zhuang, Dongzhou Li, Tian Yang, Jinhua Cai, Shirong Chen, Xiaoxuan Liu, Xueer Tian, Fei Huang, Mindong Li, Lianjie Li, Kangsheng Neurol Ther Original Research INTRODUCTION: Acute traumatic intraparenchymal hematoma (tICH) expansion is a major cause of clinical deterioration after brain contusion. Here, an accurate prediction tool for acute tICH expansion is proposed. METHODS: A multicenter hospital-based study for multivariable prediction model was conducted among patients (889 patients in a development dataset and 264 individuals in an external validation dataset) with initial and follow-up computed tomography (CT) imaging for tICH volume evaluation. Semi-automated software was employed to assess tICH expansion. Two multivariate predictive models for acute tICH expansion were developed and externally validated. RESULTS: A total of 198 (22.27%) individuals had remarkable acute tICH expansion. The novel Traumatic Parenchymatous Hematoma Expansion Aid (TPHEA) model retained several variables, including age, coagulopathy, baseline tICH volume, time to baseline CT time, subdural hemorrhage, a novel imaging marker of multihematoma fuzzy sign, and an inflammatory index of monocyte-to-lymphocyte ratio. Compared with multihematoma fuzzy sign, monocyte-to-lymphocyte ratio, and the basic model, the TPHEA model exhibited optimal discrimination, calibration, and clinical net benefits for patients with acute tICH expansion. A TPHEA nomogram was subsequently introduced from this model to facilitate clinical application. In an external dataset, this device showed good predicting performance for acute tICH expansion. CONCLUSIONS: The main predictive factors in the TPHEA nomogram are the monocyte-to-lymphocyte ratio, baseline tICH volume, and multihematoma fuzzy sign. This user-friendly tool can estimate acute tICH expansion and optimize personalized treatments for individuals with brain contusion. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40120-021-00306-8. Springer Healthcare 2021-12-02 /pmc/articles/PMC8857351/ /pubmed/34855160 http://dx.doi.org/10.1007/s40120-021-00306-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Sheng, Jiangtao Chen, Weiqiang Zhuang, Dongzhou Li, Tian Yang, Jinhua Cai, Shirong Chen, Xiaoxuan Liu, Xueer Tian, Fei Huang, Mindong Li, Lianjie Li, Kangsheng A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression |
title | A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression |
title_full | A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression |
title_fullStr | A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression |
title_full_unstemmed | A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression |
title_short | A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression |
title_sort | clinical predictive nomogram for traumatic brain parenchyma hematoma progression |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857351/ https://www.ncbi.nlm.nih.gov/pubmed/34855160 http://dx.doi.org/10.1007/s40120-021-00306-8 |
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