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Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke

BACKGROUND AND PURPOSE: The low-grade inflammation (LGI) score, a novel indicator of chronic LGI, combines C-reactive protein (CRP), leukocyte counts, the neutrophil/lymphocyte ratio (NLR), and the platelet (PLT) count to predict outcomes of patients with various conditions, such as cardiovascular d...

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Autores principales: Zhou, Yang, Luo, Yufan, Liang, Huazheng, Zhong, Ping, Wu, Danhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483771/
https://www.ncbi.nlm.nih.gov/pubmed/37679730
http://dx.doi.org/10.1186/s12883-023-03365-6
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author Zhou, Yang
Luo, Yufan
Liang, Huazheng
Zhong, Ping
Wu, Danhong
author_facet Zhou, Yang
Luo, Yufan
Liang, Huazheng
Zhong, Ping
Wu, Danhong
author_sort Zhou, Yang
collection PubMed
description BACKGROUND AND PURPOSE: The low-grade inflammation (LGI) score, a novel indicator of chronic LGI, combines C-reactive protein (CRP), leukocyte counts, the neutrophil/lymphocyte ratio (NLR), and the platelet (PLT) count to predict outcomes of patients with various conditions, such as cardiovascular diseases, cancers, and neurodegenerative diseases. However, few studies have examined the role of the LGI score in predicting functional outcomes of patients with ischemic stroke. The present study aimed to evaluate the association between the LGI score and functional outcomes of patients with ischemic stroke. METHODS: A total of 1,215 patients were screened in the present study, and 876 patients were finally included in this retrospective observational study based on the inclusion and exclusion criteria. Blood tests were conducted within 24 h of admission. Severity of ischemic stroke was assessed using the NIHSS score with severe stroke denoted by NIHSS > 5. Early neurological deterioration (END) was defined as an increment in the total NIHSS score of ≥ 2 points within 7 days after admission. Patient outcomes were assessed on day 90 after stroke onset using the modified Rankin Scale (mRS). RESULTS: The LGI score was positively correlated with baseline and the day 7 NIHSS scores (R2 = 0.119, p < 0.001;R2 = 0.123, p < 0.001). Multivariate regression analysis showed that the LGI score was an independent predictor of stroke severity and END. In the crude model, the LGI score in the fourth quartile was associated with a higher risk of poor outcomes on day 90 compared with the LGI score in the first quartile (OR = 5.02, 95% CI: 3.09–8.14, p for trend < 0.001). After adjusting for potential confounders, the LGI score in the fourth quartile was independently associated with poor outcomes on day 90 (OR = 2.65, 95% CI: 1.47–4.76, p for trend = 0.001). Finally, the ROC curve analysis showed an AUC of 0.682 for poor outcomes on day 90 after stroke onset. CONCLUSION: The LGI score is strongly correlated with the severity of acute ischemic stroke and that the LGI score might be a good predictor for poor outcomes on day 90 in patients with acute ischemic stroke. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-023-03365-6.
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spelling pubmed-104837712023-09-08 Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke Zhou, Yang Luo, Yufan Liang, Huazheng Zhong, Ping Wu, Danhong BMC Neurol Research BACKGROUND AND PURPOSE: The low-grade inflammation (LGI) score, a novel indicator of chronic LGI, combines C-reactive protein (CRP), leukocyte counts, the neutrophil/lymphocyte ratio (NLR), and the platelet (PLT) count to predict outcomes of patients with various conditions, such as cardiovascular diseases, cancers, and neurodegenerative diseases. However, few studies have examined the role of the LGI score in predicting functional outcomes of patients with ischemic stroke. The present study aimed to evaluate the association between the LGI score and functional outcomes of patients with ischemic stroke. METHODS: A total of 1,215 patients were screened in the present study, and 876 patients were finally included in this retrospective observational study based on the inclusion and exclusion criteria. Blood tests were conducted within 24 h of admission. Severity of ischemic stroke was assessed using the NIHSS score with severe stroke denoted by NIHSS > 5. Early neurological deterioration (END) was defined as an increment in the total NIHSS score of ≥ 2 points within 7 days after admission. Patient outcomes were assessed on day 90 after stroke onset using the modified Rankin Scale (mRS). RESULTS: The LGI score was positively correlated with baseline and the day 7 NIHSS scores (R2 = 0.119, p < 0.001;R2 = 0.123, p < 0.001). Multivariate regression analysis showed that the LGI score was an independent predictor of stroke severity and END. In the crude model, the LGI score in the fourth quartile was associated with a higher risk of poor outcomes on day 90 compared with the LGI score in the first quartile (OR = 5.02, 95% CI: 3.09–8.14, p for trend < 0.001). After adjusting for potential confounders, the LGI score in the fourth quartile was independently associated with poor outcomes on day 90 (OR = 2.65, 95% CI: 1.47–4.76, p for trend = 0.001). Finally, the ROC curve analysis showed an AUC of 0.682 for poor outcomes on day 90 after stroke onset. CONCLUSION: The LGI score is strongly correlated with the severity of acute ischemic stroke and that the LGI score might be a good predictor for poor outcomes on day 90 in patients with acute ischemic stroke. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-023-03365-6. BioMed Central 2023-09-07 /pmc/articles/PMC10483771/ /pubmed/37679730 http://dx.doi.org/10.1186/s12883-023-03365-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhou, Yang
Luo, Yufan
Liang, Huazheng
Zhong, Ping
Wu, Danhong
Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke
title Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke
title_full Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke
title_fullStr Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke
title_full_unstemmed Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke
title_short Applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke
title_sort applicability of the low-grade inflammation score in predicting 90-day functional outcomes after acute ischemic stroke
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483771/
https://www.ncbi.nlm.nih.gov/pubmed/37679730
http://dx.doi.org/10.1186/s12883-023-03365-6
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