Cargando…

A nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage

Early hematoma expansion of hypertensive cerebral hemorrhage is affected by various factors. This study aimed to clarify the risk factors and develop a nomogram to predict early hematoma expansion. A retrospective analysis was carried out in patients with hypertensive cerebral hemorrhage admitted to...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Si, Sheng, WenGuo, Hu, Yi, Ma, Qiang, Li, Bin, Han, RuiZhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899817/
https://www.ncbi.nlm.nih.gov/pubmed/33607818
http://dx.doi.org/10.1097/MD.0000000000024737
_version_ 1783654086704365568
author Hu, Si
Sheng, WenGuo
Hu, Yi
Ma, Qiang
Li, Bin
Han, RuiZhang
author_facet Hu, Si
Sheng, WenGuo
Hu, Yi
Ma, Qiang
Li, Bin
Han, RuiZhang
author_sort Hu, Si
collection PubMed
description Early hematoma expansion of hypertensive cerebral hemorrhage is affected by various factors. This study aimed to clarify the risk factors and develop a nomogram to predict early hematoma expansion. A retrospective analysis was carried out in patients with hypertensive cerebral hemorrhage admitted to our institution between January 1, 2012 and December 31, 2018; the patients were divided into 2 groups according to the presence of early hematoma expansion. Univariate and multivariate analyses were performed to analyze the risk factors of hematoma expansion. The nomogram was developed based on a multivariate logistic regression model, and the discriminative ability of the model was analyzed. A total of 477 patients with hypertensive cerebral hemorrhage and with a baseline hematoma volume <30 ml were included in our retrospective analysis. The hematoma expansion rate was 34.2% (163/477). After multivariate logistic regression, 9 variables (alcohol history, Glasgow coma scale score, total serum calcium, blood glucose, international normalized ratio, hematoma shape, hematoma density, volume of hematoma on initial computed tomography scan, and presence of intraventricular hemorrhage) identified as independent predictors of hematoma expansion were used to generate the nomogram. The area under the receiver operating characteristic curve of the nomogram was 0.883 (95% confidence interval 0.851–0.914), and the cutoff score was −0.19 with sensitivity of 75.5% and specificity of 87.3%. The nomogram can accurately predict the risk of early hematoma expansion.
format Online
Article
Text
id pubmed-7899817
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-78998172021-02-24 A nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage Hu, Si Sheng, WenGuo Hu, Yi Ma, Qiang Li, Bin Han, RuiZhang Medicine (Baltimore) 5300 Early hematoma expansion of hypertensive cerebral hemorrhage is affected by various factors. This study aimed to clarify the risk factors and develop a nomogram to predict early hematoma expansion. A retrospective analysis was carried out in patients with hypertensive cerebral hemorrhage admitted to our institution between January 1, 2012 and December 31, 2018; the patients were divided into 2 groups according to the presence of early hematoma expansion. Univariate and multivariate analyses were performed to analyze the risk factors of hematoma expansion. The nomogram was developed based on a multivariate logistic regression model, and the discriminative ability of the model was analyzed. A total of 477 patients with hypertensive cerebral hemorrhage and with a baseline hematoma volume <30 ml were included in our retrospective analysis. The hematoma expansion rate was 34.2% (163/477). After multivariate logistic regression, 9 variables (alcohol history, Glasgow coma scale score, total serum calcium, blood glucose, international normalized ratio, hematoma shape, hematoma density, volume of hematoma on initial computed tomography scan, and presence of intraventricular hemorrhage) identified as independent predictors of hematoma expansion were used to generate the nomogram. The area under the receiver operating characteristic curve of the nomogram was 0.883 (95% confidence interval 0.851–0.914), and the cutoff score was −0.19 with sensitivity of 75.5% and specificity of 87.3%. The nomogram can accurately predict the risk of early hematoma expansion. Lippincott Williams & Wilkins 2021-02-19 /pmc/articles/PMC7899817/ /pubmed/33607818 http://dx.doi.org/10.1097/MD.0000000000024737 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 5300
Hu, Si
Sheng, WenGuo
Hu, Yi
Ma, Qiang
Li, Bin
Han, RuiZhang
A nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage
title A nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage
title_full A nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage
title_fullStr A nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage
title_full_unstemmed A nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage
title_short A nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage
title_sort nomogram to predict early hematoma expansion of hypertensive cerebral hemorrhage
topic 5300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899817/
https://www.ncbi.nlm.nih.gov/pubmed/33607818
http://dx.doi.org/10.1097/MD.0000000000024737
work_keys_str_mv AT husi anomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT shengwenguo anomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT huyi anomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT maqiang anomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT libin anomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT hanruizhang anomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT husi nomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT shengwenguo nomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT huyi nomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT maqiang nomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT libin nomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage
AT hanruizhang nomogramtopredictearlyhematomaexpansionofhypertensivecerebralhemorrhage