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Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study
BACKGROUNDS: Delirium is a common neuropsychiatric syndrome in older hospitalized patients. Previous studies have suggested that inflammation and oxidative stress contribute to the pathophysiology of delirium. However, it remains unclear whether neutrophil-lymphocyte ratio (NLR), an indicator of sys...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147036/ https://www.ncbi.nlm.nih.gov/pubmed/34034650 http://dx.doi.org/10.1186/s12877-021-02284-w |
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author | Zhao, Yanli Yue, Jirong Lei, Peng Lin, Taiping Peng, Xuchao Xie, Dongmei Gao, Langli Shu, Xiaoyu Wu, Chenkai |
author_facet | Zhao, Yanli Yue, Jirong Lei, Peng Lin, Taiping Peng, Xuchao Xie, Dongmei Gao, Langli Shu, Xiaoyu Wu, Chenkai |
author_sort | Zhao, Yanli |
collection | PubMed |
description | BACKGROUNDS: Delirium is a common neuropsychiatric syndrome in older hospitalized patients. Previous studies have suggested that inflammation and oxidative stress contribute to the pathophysiology of delirium. However, it remains unclear whether neutrophil-lymphocyte ratio (NLR), an indicator of systematic inflammation, is associated with delirium. This study aimed to investigate the value of NLR as an independent risk factor for delirium among older hospitalized patients. METHODS: We conducted a prospective study of 740 hospitalized patients aged ≥ 70 years in the geriatric ward of West China Hospital of Sichuan University. Neutrophil and lymphocyte counts were collected within 24 h after hospital admission. Delirium was assessed on admission and every 48 h thereafter. We used the receiver operating characteristic analysis to assess the ability of the NLR for predicting delirium. The optimal cut-point value of the NLR was determined based on the highest Youden index (sensitivity + specificity − 1). Patients were categorized according to the cut-point value and quartiles of NLR, respectively. We then used logistic regression to identify the unadjusted and adjusted associations between NLR as a categorical variable and delirium. RESULTS: The optimal cut-point value of NLR for predicting delirium was 3.626 (sensitivity: 75.2 %; specificity: 63.4 %; Youden index: 0.386). The incidence of delirium was significantly higher in patients with NLR > 3.626 than NLR ≤ 3.626 (24.5 % vs. 5.8 %; P < 0.001). Significantly fewer patients in the first quartile of NLR experienced delirium than in the third (4.3 % vs. 20.0 %; P < 0.001) and fourth quartiles of NLR (4.3 % vs. 24.9 %; P < 0.001). Results from the multivariable logistic regression models showed that NLR was independently associated with delirium. CONCLUSIONS: NLR is a simple and practical marker that can predict the development of delirium in older internal medicine patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02284-w. |
format | Online Article Text |
id | pubmed-8147036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81470362021-05-25 Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study Zhao, Yanli Yue, Jirong Lei, Peng Lin, Taiping Peng, Xuchao Xie, Dongmei Gao, Langli Shu, Xiaoyu Wu, Chenkai BMC Geriatr Research Article BACKGROUNDS: Delirium is a common neuropsychiatric syndrome in older hospitalized patients. Previous studies have suggested that inflammation and oxidative stress contribute to the pathophysiology of delirium. However, it remains unclear whether neutrophil-lymphocyte ratio (NLR), an indicator of systematic inflammation, is associated with delirium. This study aimed to investigate the value of NLR as an independent risk factor for delirium among older hospitalized patients. METHODS: We conducted a prospective study of 740 hospitalized patients aged ≥ 70 years in the geriatric ward of West China Hospital of Sichuan University. Neutrophil and lymphocyte counts were collected within 24 h after hospital admission. Delirium was assessed on admission and every 48 h thereafter. We used the receiver operating characteristic analysis to assess the ability of the NLR for predicting delirium. The optimal cut-point value of the NLR was determined based on the highest Youden index (sensitivity + specificity − 1). Patients were categorized according to the cut-point value and quartiles of NLR, respectively. We then used logistic regression to identify the unadjusted and adjusted associations between NLR as a categorical variable and delirium. RESULTS: The optimal cut-point value of NLR for predicting delirium was 3.626 (sensitivity: 75.2 %; specificity: 63.4 %; Youden index: 0.386). The incidence of delirium was significantly higher in patients with NLR > 3.626 than NLR ≤ 3.626 (24.5 % vs. 5.8 %; P < 0.001). Significantly fewer patients in the first quartile of NLR experienced delirium than in the third (4.3 % vs. 20.0 %; P < 0.001) and fourth quartiles of NLR (4.3 % vs. 24.9 %; P < 0.001). Results from the multivariable logistic regression models showed that NLR was independently associated with delirium. CONCLUSIONS: NLR is a simple and practical marker that can predict the development of delirium in older internal medicine patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02284-w. BioMed Central 2021-05-25 /pmc/articles/PMC8147036/ /pubmed/34034650 http://dx.doi.org/10.1186/s12877-021-02284-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article Zhao, Yanli Yue, Jirong Lei, Peng Lin, Taiping Peng, Xuchao Xie, Dongmei Gao, Langli Shu, Xiaoyu Wu, Chenkai Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study |
title | Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study |
title_full | Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study |
title_fullStr | Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study |
title_full_unstemmed | Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study |
title_short | Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study |
title_sort | neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147036/ https://www.ncbi.nlm.nih.gov/pubmed/34034650 http://dx.doi.org/10.1186/s12877-021-02284-w |
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