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Neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage

Our previously studies indicated that inflammatory responses are involved in the hematoma expansion (HE) after intracranial hemorrhage (ICH) ictus. Here, we aim to evaluate the correlations among the ratio of neutrophil to lymphocyte ratio (NLR), HE, and island sign in patients with ICH. Patients wi...

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Autores principales: Zhang, Fan, Qian, Juan, Tao, Chuanyuan, Wang, Yuelong, Lin, Sen, You, Chao, Yang, Mu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221617/
https://www.ncbi.nlm.nih.gov/pubmed/30383680
http://dx.doi.org/10.1097/MD.0000000000013057
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author Zhang, Fan
Qian, Juan
Tao, Chuanyuan
Wang, Yuelong
Lin, Sen
You, Chao
Yang, Mu
author_facet Zhang, Fan
Qian, Juan
Tao, Chuanyuan
Wang, Yuelong
Lin, Sen
You, Chao
Yang, Mu
author_sort Zhang, Fan
collection PubMed
description Our previously studies indicated that inflammatory responses are involved in the hematoma expansion (HE) after intracranial hemorrhage (ICH) ictus. Here, we aim to evaluate the correlations among the ratio of neutrophil to lymphocyte ratio (NLR), HE, and island sign in patients with ICH. Patients with spontaneous ICH were retrospectively included. Clinical characteristics, imaging features, and laboratory parameters were obtained. Multivariable analysis was performed to evaluate the association of NLR with HE or island sign. Receiver-operator analysis was also used to estimate their predictive abilities for HE and its imaging features. A total of 279 patients were enrolled in present study, and 78 patients had early hematoma growth, while 43 of them exhibited island sign. Elevation of both leukocyte (odds ratio [OR] 1.136, 95% confidence interval [CI] 1.037–1.245, P < .01) and neutrophil absolute numbers (OR 1.169, 95% CI 1.065–1.284, P < .01), as well as reduction of lymphocyte counts (OR 0.052, 95% CI 0.016–0.167, P < .01) were strongly associated with the existence of island sign. Moreover, despite the predictive ability of NLR on the existence of island sign (OR 1.063, 95% CI 1.036–1.090, P < .01), it also showed the best predictive accuracy (sensitivity 76.74%, specificity 79.66%, positive predictive value 40.70%, negative predictive value 94.90%, area under the curve 0.817) by comparing with peripheral leukocyte counts. The NLR could be used as an independently marker for reflecting the island sign in patients with ICH. Our findings indicated that systemic inflammatory responses might be involved in the pathologic process of active bleeding in cerebral.
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spelling pubmed-62216172018-12-04 Neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage Zhang, Fan Qian, Juan Tao, Chuanyuan Wang, Yuelong Lin, Sen You, Chao Yang, Mu Medicine (Baltimore) Research Article Our previously studies indicated that inflammatory responses are involved in the hematoma expansion (HE) after intracranial hemorrhage (ICH) ictus. Here, we aim to evaluate the correlations among the ratio of neutrophil to lymphocyte ratio (NLR), HE, and island sign in patients with ICH. Patients with spontaneous ICH were retrospectively included. Clinical characteristics, imaging features, and laboratory parameters were obtained. Multivariable analysis was performed to evaluate the association of NLR with HE or island sign. Receiver-operator analysis was also used to estimate their predictive abilities for HE and its imaging features. A total of 279 patients were enrolled in present study, and 78 patients had early hematoma growth, while 43 of them exhibited island sign. Elevation of both leukocyte (odds ratio [OR] 1.136, 95% confidence interval [CI] 1.037–1.245, P < .01) and neutrophil absolute numbers (OR 1.169, 95% CI 1.065–1.284, P < .01), as well as reduction of lymphocyte counts (OR 0.052, 95% CI 0.016–0.167, P < .01) were strongly associated with the existence of island sign. Moreover, despite the predictive ability of NLR on the existence of island sign (OR 1.063, 95% CI 1.036–1.090, P < .01), it also showed the best predictive accuracy (sensitivity 76.74%, specificity 79.66%, positive predictive value 40.70%, negative predictive value 94.90%, area under the curve 0.817) by comparing with peripheral leukocyte counts. The NLR could be used as an independently marker for reflecting the island sign in patients with ICH. Our findings indicated that systemic inflammatory responses might be involved in the pathologic process of active bleeding in cerebral. Wolters Kluwer Health 2018-11-02 /pmc/articles/PMC6221617/ /pubmed/30383680 http://dx.doi.org/10.1097/MD.0000000000013057 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://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
spellingShingle Research Article
Zhang, Fan
Qian, Juan
Tao, Chuanyuan
Wang, Yuelong
Lin, Sen
You, Chao
Yang, Mu
Neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage
title Neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage
title_full Neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage
title_fullStr Neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage
title_full_unstemmed Neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage
title_short Neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage
title_sort neutrophil to lymphocyte ratio predicts island sign in patients with intracranial hemorrhage
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221617/
https://www.ncbi.nlm.nih.gov/pubmed/30383680
http://dx.doi.org/10.1097/MD.0000000000013057
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