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A nomogram for predicting the in-hospital mortality after large hemispheric infarction
BACKGROUND: Large hemispheric infarction (LHI) is a severe form of stroke with high mortality and disability rates. The purpose of this study was to explore predictive indicators of the in-hospital mortality of LHI patients treated conservatively without decompressive hemicraniectomy. METHOD: We per...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935484/ https://www.ncbi.nlm.nih.gov/pubmed/31884967 http://dx.doi.org/10.1186/s12883-019-1571-4 |
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author | Sun, Wenzhe Li, Guo Liu, Ziqiang Miao, Jinfeng Yang, Zhaoxia Zhou, Qiao Liu, Run Zhu, Suiqiang Zhu, Zhou |
author_facet | Sun, Wenzhe Li, Guo Liu, Ziqiang Miao, Jinfeng Yang, Zhaoxia Zhou, Qiao Liu, Run Zhu, Suiqiang Zhu, Zhou |
author_sort | Sun, Wenzhe |
collection | PubMed |
description | BACKGROUND: Large hemispheric infarction (LHI) is a severe form of stroke with high mortality and disability rates. The purpose of this study was to explore predictive indicators of the in-hospital mortality of LHI patients treated conservatively without decompressive hemicraniectomy. METHOD: We performed a retrospective study of 187 consecutive patients with LHI between January 1, 2016 to May 31, 2019. The receiver operating curves were preformed to evaluate predictive performance of demographics factors, biomarkers and radiologic characteristics. Significant prognostic factors were combined to build a nomogram to predict the risk of in-hospital death of individual patients. RESULT: One hundred fifty-eight patients with LHI were finally enrolled, 58 of which died. Through multivariate logistic regression analysis, we identified that independent prognostic factors for in-hospital death were age (adjusted odds ratio [aOR] = 1.066; 95% confidence interval [CI], 1.025–1.108; P = 0.001), midline shift (MLS, aOR = 1.330, 95% CI, 1.177–1.503; P < 0.001), and neutrophil-to-lymphocyte ratio (NLR, aOR = 3.319, 95% CI, 1.542–7.144; P = 0.002). NLR may serve as a better predictor than white blood count (WBC) and neutrophil counts. Lastly, we used all of the clinical characteristics to establish a nomogram for predicting the prognosis, area under the curve (AUC) of this nomogram was 0.858 (95% CI, 0.794–0.908). CONCLUSION: This study shows that age, MLS, and admission NLR value are independent predictors of in-hospital mortality in patients with LHI. Moreover, nomogram, serve as a precise and convenient tool for the prognosis of LHI patients. |
format | Online Article Text |
id | pubmed-6935484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69354842019-12-30 A nomogram for predicting the in-hospital mortality after large hemispheric infarction Sun, Wenzhe Li, Guo Liu, Ziqiang Miao, Jinfeng Yang, Zhaoxia Zhou, Qiao Liu, Run Zhu, Suiqiang Zhu, Zhou BMC Neurol Research Article BACKGROUND: Large hemispheric infarction (LHI) is a severe form of stroke with high mortality and disability rates. The purpose of this study was to explore predictive indicators of the in-hospital mortality of LHI patients treated conservatively without decompressive hemicraniectomy. METHOD: We performed a retrospective study of 187 consecutive patients with LHI between January 1, 2016 to May 31, 2019. The receiver operating curves were preformed to evaluate predictive performance of demographics factors, biomarkers and radiologic characteristics. Significant prognostic factors were combined to build a nomogram to predict the risk of in-hospital death of individual patients. RESULT: One hundred fifty-eight patients with LHI were finally enrolled, 58 of which died. Through multivariate logistic regression analysis, we identified that independent prognostic factors for in-hospital death were age (adjusted odds ratio [aOR] = 1.066; 95% confidence interval [CI], 1.025–1.108; P = 0.001), midline shift (MLS, aOR = 1.330, 95% CI, 1.177–1.503; P < 0.001), and neutrophil-to-lymphocyte ratio (NLR, aOR = 3.319, 95% CI, 1.542–7.144; P = 0.002). NLR may serve as a better predictor than white blood count (WBC) and neutrophil counts. Lastly, we used all of the clinical characteristics to establish a nomogram for predicting the prognosis, area under the curve (AUC) of this nomogram was 0.858 (95% CI, 0.794–0.908). CONCLUSION: This study shows that age, MLS, and admission NLR value are independent predictors of in-hospital mortality in patients with LHI. Moreover, nomogram, serve as a precise and convenient tool for the prognosis of LHI patients. BioMed Central 2019-12-29 /pmc/articles/PMC6935484/ /pubmed/31884967 http://dx.doi.org/10.1186/s12883-019-1571-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Sun, Wenzhe Li, Guo Liu, Ziqiang Miao, Jinfeng Yang, Zhaoxia Zhou, Qiao Liu, Run Zhu, Suiqiang Zhu, Zhou A nomogram for predicting the in-hospital mortality after large hemispheric infarction |
title | A nomogram for predicting the in-hospital mortality after large hemispheric infarction |
title_full | A nomogram for predicting the in-hospital mortality after large hemispheric infarction |
title_fullStr | A nomogram for predicting the in-hospital mortality after large hemispheric infarction |
title_full_unstemmed | A nomogram for predicting the in-hospital mortality after large hemispheric infarction |
title_short | A nomogram for predicting the in-hospital mortality after large hemispheric infarction |
title_sort | nomogram for predicting the in-hospital mortality after large hemispheric infarction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935484/ https://www.ncbi.nlm.nih.gov/pubmed/31884967 http://dx.doi.org/10.1186/s12883-019-1571-4 |
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