Cargando…

Intracranial Cerebrospinal Fluid Volume as a Predictor of Malignant Middle Cerebral Artery Infarction

BACKGROUND AND PURPOSE—: Predicting malignant middle cerebral artery (MCA) infarction can help to identify patients who may benefit from preventive decompressive surgery. We aimed to investigate the association between the ratio of intracranial cerebrospinal fluid (CSF) volume to intracranial volume...

Descripción completa

Detalles Bibliográficos
Autores principales: Kauw, Frans, Bennink, Edwin, de Jong, Hugo W.A.M., Kappelle, L. Jaap, Horsch, Alexander D., Velthuis, Birgitta K., Dankbaar, Jan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553515/
https://www.ncbi.nlm.nih.gov/pubmed/31092157
http://dx.doi.org/10.1161/STROKEAHA.119.024882
_version_ 1783424827991785472
author Kauw, Frans
Bennink, Edwin
de Jong, Hugo W.A.M.
Kappelle, L. Jaap
Horsch, Alexander D.
Velthuis, Birgitta K.
Dankbaar, Jan W.
author_facet Kauw, Frans
Bennink, Edwin
de Jong, Hugo W.A.M.
Kappelle, L. Jaap
Horsch, Alexander D.
Velthuis, Birgitta K.
Dankbaar, Jan W.
author_sort Kauw, Frans
collection PubMed
description BACKGROUND AND PURPOSE—: Predicting malignant middle cerebral artery (MCA) infarction can help to identify patients who may benefit from preventive decompressive surgery. We aimed to investigate the association between the ratio of intracranial cerebrospinal fluid (CSF) volume to intracranial volume (ICV) and malignant MCA infarction. METHODS—: Patients with an occlusion proximal to the M3 segment of the MCA were selected from the DUST (Dutch Acute Stroke Study). Admission imaging included noncontrast computed tomography (CT), CT perfusion, and CT angiography. Patient characteristics and CT findings were collected. The ratio of intracranial CSF volume to ICV (CSF/ICV) was quantified on admission thin-slice noncontrast CT. Malignant MCA infarction was defined as a midline shift of >5 mm on follow-up noncontrast CT, which was performed 3 days after the stroke or in case of clinical deterioration. To test the association between CSF/ICV and malignant MCA infarction, odds ratios and 95% CIs were calculated for 3 multivariable models by using binary logistic regression. Model performances were compared by using the likelihood ratio test. RESULTS—: Of the 286 included patients, 35 (12%) developed malignant MCA infarction. CSF/ICV was independently associated with malignant MCA infarction in 3 multivariable models: (1) with age and admission National Institutes of Health Stroke Scale (odds ratio, 3.3; 95% CI, 1.1–11.1), (2) with admission National Institutes of Health Stroke Scale and poor collateral score (odds ratio, 7.0; 95% CI, 2.6–21.3), and (3) with terminal internal carotid artery or proximal M1 occlusion and poor collateral score (odds ratio, 7.7; 95% CI, 2.8–23.9). The performance of model 1 (areas under the receiver operating characteristic curves, 0.795 versus 0.824; P=0.033), model 2 (areas under the receiver operating characteristic curves, 0.813 versus 0.850; P<0.001), and model 3 (areas under the receiver operating characteristic curves, 0.811 versus 0.856; P<0.001) improved significantly after adding CSF/ICV. CONCLUSIONS—: The CSF/ICV ratio is associated with malignant MCA infarction and has added value to clinical and imaging prediction models in limited numbers of patients.
format Online
Article
Text
id pubmed-6553515
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-65535152019-07-22 Intracranial Cerebrospinal Fluid Volume as a Predictor of Malignant Middle Cerebral Artery Infarction Kauw, Frans Bennink, Edwin de Jong, Hugo W.A.M. Kappelle, L. Jaap Horsch, Alexander D. Velthuis, Birgitta K. Dankbaar, Jan W. Stroke Original Contributions BACKGROUND AND PURPOSE—: Predicting malignant middle cerebral artery (MCA) infarction can help to identify patients who may benefit from preventive decompressive surgery. We aimed to investigate the association between the ratio of intracranial cerebrospinal fluid (CSF) volume to intracranial volume (ICV) and malignant MCA infarction. METHODS—: Patients with an occlusion proximal to the M3 segment of the MCA were selected from the DUST (Dutch Acute Stroke Study). Admission imaging included noncontrast computed tomography (CT), CT perfusion, and CT angiography. Patient characteristics and CT findings were collected. The ratio of intracranial CSF volume to ICV (CSF/ICV) was quantified on admission thin-slice noncontrast CT. Malignant MCA infarction was defined as a midline shift of >5 mm on follow-up noncontrast CT, which was performed 3 days after the stroke or in case of clinical deterioration. To test the association between CSF/ICV and malignant MCA infarction, odds ratios and 95% CIs were calculated for 3 multivariable models by using binary logistic regression. Model performances were compared by using the likelihood ratio test. RESULTS—: Of the 286 included patients, 35 (12%) developed malignant MCA infarction. CSF/ICV was independently associated with malignant MCA infarction in 3 multivariable models: (1) with age and admission National Institutes of Health Stroke Scale (odds ratio, 3.3; 95% CI, 1.1–11.1), (2) with admission National Institutes of Health Stroke Scale and poor collateral score (odds ratio, 7.0; 95% CI, 2.6–21.3), and (3) with terminal internal carotid artery or proximal M1 occlusion and poor collateral score (odds ratio, 7.7; 95% CI, 2.8–23.9). The performance of model 1 (areas under the receiver operating characteristic curves, 0.795 versus 0.824; P=0.033), model 2 (areas under the receiver operating characteristic curves, 0.813 versus 0.850; P<0.001), and model 3 (areas under the receiver operating characteristic curves, 0.811 versus 0.856; P<0.001) improved significantly after adding CSF/ICV. CONCLUSIONS—: The CSF/ICV ratio is associated with malignant MCA infarction and has added value to clinical and imaging prediction models in limited numbers of patients. Lippincott Williams & Wilkins 2019-06 2019-05-16 /pmc/articles/PMC6553515/ /pubmed/31092157 http://dx.doi.org/10.1161/STROKEAHA.119.024882 Text en © 2019 The Authors. Stroke is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made.
spellingShingle Original Contributions
Kauw, Frans
Bennink, Edwin
de Jong, Hugo W.A.M.
Kappelle, L. Jaap
Horsch, Alexander D.
Velthuis, Birgitta K.
Dankbaar, Jan W.
Intracranial Cerebrospinal Fluid Volume as a Predictor of Malignant Middle Cerebral Artery Infarction
title Intracranial Cerebrospinal Fluid Volume as a Predictor of Malignant Middle Cerebral Artery Infarction
title_full Intracranial Cerebrospinal Fluid Volume as a Predictor of Malignant Middle Cerebral Artery Infarction
title_fullStr Intracranial Cerebrospinal Fluid Volume as a Predictor of Malignant Middle Cerebral Artery Infarction
title_full_unstemmed Intracranial Cerebrospinal Fluid Volume as a Predictor of Malignant Middle Cerebral Artery Infarction
title_short Intracranial Cerebrospinal Fluid Volume as a Predictor of Malignant Middle Cerebral Artery Infarction
title_sort intracranial cerebrospinal fluid volume as a predictor of malignant middle cerebral artery infarction
topic Original Contributions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553515/
https://www.ncbi.nlm.nih.gov/pubmed/31092157
http://dx.doi.org/10.1161/STROKEAHA.119.024882
work_keys_str_mv AT kauwfrans intracranialcerebrospinalfluidvolumeasapredictorofmalignantmiddlecerebralarteryinfarction
AT benninkedwin intracranialcerebrospinalfluidvolumeasapredictorofmalignantmiddlecerebralarteryinfarction
AT dejonghugowam intracranialcerebrospinalfluidvolumeasapredictorofmalignantmiddlecerebralarteryinfarction
AT kappelleljaap intracranialcerebrospinalfluidvolumeasapredictorofmalignantmiddlecerebralarteryinfarction
AT horschalexanderd intracranialcerebrospinalfluidvolumeasapredictorofmalignantmiddlecerebralarteryinfarction
AT velthuisbirgittak intracranialcerebrospinalfluidvolumeasapredictorofmalignantmiddlecerebralarteryinfarction
AT dankbaarjanw intracranialcerebrospinalfluidvolumeasapredictorofmalignantmiddlecerebralarteryinfarction