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Neutrophil‐to‐Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage

BACKGROUND: Gastrointestinal bleeding (GIB) is a potential contributing factor for poor prognosis of spontaneous basal ganglia hemorrhage (BGH). This study aimed to investigate the predictive value of new inflammatory biomarkers including neutrophil to lymphocytes (NLR) on admission and construct a...

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Autores principales: Jiang, Xuewei, Zhou, Liangliang, Chen, Yinuo, Tang, Yuqing, Jiang, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551117/
https://www.ncbi.nlm.nih.gov/pubmed/36045605
http://dx.doi.org/10.1002/jcla.24679
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author Jiang, Xuewei
Zhou, Liangliang
Chen, Yinuo
Tang, Yuqing
Jiang, Xiaodong
author_facet Jiang, Xuewei
Zhou, Liangliang
Chen, Yinuo
Tang, Yuqing
Jiang, Xiaodong
author_sort Jiang, Xuewei
collection PubMed
description BACKGROUND: Gastrointestinal bleeding (GIB) is a potential contributing factor for poor prognosis of spontaneous basal ganglia hemorrhage (BGH). This study aimed to investigate the predictive value of new inflammatory biomarkers including neutrophil to lymphocytes (NLR) on admission and construct a nomogram for rapidly predicting GIB in acute BGH. METHODS: The retrospective study included all patients with acute BGH admitted from the emergency department in Huashan Hospital from July 2017 to January 2019. Multivariate analysis was conducted to evaluate the correlation between factors within 24 h and the occurrence of GIB within 7 days after BGH. The receiver operating characteristic (ROC) curve was performed to estimate the prediction ability of inflammatory biomarkers. A nomogram based on significant predictors was validated by ROC curve and calibration curve. RESULTS: A total of 122 patients were enrolled in this study, and the incidence of GIB was 23.0%. Patients with GIB had larger hematoma volume (≥30 ml), lower Glasgow Coma Scale (GCS) score (≤8) and increased inflammatory biomarkers on admission. ROC curve revealed that NLR had a high predictive value to the complication (area under the curve = 0.87). According to multivariate analysis, NLR, GCS score, and hematoma volume were main factors for nomogram, with good calibration and discrimination. CONCLUSIONS: Neutrophil‐to‐lymphocyte ratio and GCS score within 24 h after the onset of acute BGH are the independent risk factors for GIB. The nomogram developed by these predictors may assist surgeons in rapidly assessing and preventing of GIB for BGH patients in earlier stage.
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spelling pubmed-95511172022-10-14 Neutrophil‐to‐Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage Jiang, Xuewei Zhou, Liangliang Chen, Yinuo Tang, Yuqing Jiang, Xiaodong J Clin Lab Anal Research Articles BACKGROUND: Gastrointestinal bleeding (GIB) is a potential contributing factor for poor prognosis of spontaneous basal ganglia hemorrhage (BGH). This study aimed to investigate the predictive value of new inflammatory biomarkers including neutrophil to lymphocytes (NLR) on admission and construct a nomogram for rapidly predicting GIB in acute BGH. METHODS: The retrospective study included all patients with acute BGH admitted from the emergency department in Huashan Hospital from July 2017 to January 2019. Multivariate analysis was conducted to evaluate the correlation between factors within 24 h and the occurrence of GIB within 7 days after BGH. The receiver operating characteristic (ROC) curve was performed to estimate the prediction ability of inflammatory biomarkers. A nomogram based on significant predictors was validated by ROC curve and calibration curve. RESULTS: A total of 122 patients were enrolled in this study, and the incidence of GIB was 23.0%. Patients with GIB had larger hematoma volume (≥30 ml), lower Glasgow Coma Scale (GCS) score (≤8) and increased inflammatory biomarkers on admission. ROC curve revealed that NLR had a high predictive value to the complication (area under the curve = 0.87). According to multivariate analysis, NLR, GCS score, and hematoma volume were main factors for nomogram, with good calibration and discrimination. CONCLUSIONS: Neutrophil‐to‐lymphocyte ratio and GCS score within 24 h after the onset of acute BGH are the independent risk factors for GIB. The nomogram developed by these predictors may assist surgeons in rapidly assessing and preventing of GIB for BGH patients in earlier stage. John Wiley and Sons Inc. 2022-08-31 /pmc/articles/PMC9551117/ /pubmed/36045605 http://dx.doi.org/10.1002/jcla.24679 Text en © 2022 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Jiang, Xuewei
Zhou, Liangliang
Chen, Yinuo
Tang, Yuqing
Jiang, Xiaodong
Neutrophil‐to‐Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage
title Neutrophil‐to‐Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage
title_full Neutrophil‐to‐Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage
title_fullStr Neutrophil‐to‐Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage
title_full_unstemmed Neutrophil‐to‐Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage
title_short Neutrophil‐to‐Lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage
title_sort neutrophil‐to‐lymphocyte ratio on admission predicts gastrointestinal bleeding in acute basal ganglia hemorrhage
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551117/
https://www.ncbi.nlm.nih.gov/pubmed/36045605
http://dx.doi.org/10.1002/jcla.24679
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