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Neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients

BACKGROUND AND AIMS: Severe cases of respiratory syncytial virus (RSV) infection are relatively rare but may lead to serious clinical outcomes, including respiratory failure and death. These infections were shown to be accompanied by immune dysregulation. We aimed to test whether the admission neutr...

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Autores principales: Shusterman, Eden, Prozan, Lior, Ablin, Jacob Nadav, Weiss-Meilik, Ahuva, Adler, Amos, Choshen, Guy, Kehat, Orli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220360/
https://www.ncbi.nlm.nih.gov/pubmed/37251466
http://dx.doi.org/10.1016/j.heliyon.2023.e16482
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author Shusterman, Eden
Prozan, Lior
Ablin, Jacob Nadav
Weiss-Meilik, Ahuva
Adler, Amos
Choshen, Guy
Kehat, Orli
author_facet Shusterman, Eden
Prozan, Lior
Ablin, Jacob Nadav
Weiss-Meilik, Ahuva
Adler, Amos
Choshen, Guy
Kehat, Orli
author_sort Shusterman, Eden
collection PubMed
description BACKGROUND AND AIMS: Severe cases of respiratory syncytial virus (RSV) infection are relatively rare but may lead to serious clinical outcomes, including respiratory failure and death. These infections were shown to be accompanied by immune dysregulation. We aimed to test whether the admission neutrophil-to-leukocyte ratio, a marker of an aberrant immune response, can predict adverse outcome. METHODS: We retrospectively analyzed a cohort of RSV patients admitted to the Tel Aviv Medical Center from January 2010 to October 2020d. Laboratory, demographic and clinical parameters were collected. Two-way analysis of variance was used to test the association between neutrophil-lymphocyte ratio (NLR) values and poor outcomes. Receiver operating characteristic (ROC) curve analysis was applied to test the discrimination ability of NLR. RESULTS: In total, 482 RSV patients (median age 79 years, 248 [51%] females) were enrolled. There was a significant interaction between a poor clinical outcome and a sequential rise in NLR levels (positive delta NLR). The ROC curve analysis revealed an area under curve (AUC) of poor outcomes for delta NLR of (0.58). Using a cut-off of delta = 0 (the second NLR is equal to the first NLR value), multivariate logistic regression identified a rise in NLR (delta NLR>0) as being a prognostic factor for poor clinical outcome, after adjusting for age, sex and Charlson comorbidity score, with an odds ratio of 1.914 (P = 0.014) and a total AUC of 0.63. CONCLUSIONS: A rise in NLR levels within the first 48 h of hospital admission can serve as a prognostic marker for adverse outcome.
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spelling pubmed-102203602023-05-28 Neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients Shusterman, Eden Prozan, Lior Ablin, Jacob Nadav Weiss-Meilik, Ahuva Adler, Amos Choshen, Guy Kehat, Orli Heliyon Research Article BACKGROUND AND AIMS: Severe cases of respiratory syncytial virus (RSV) infection are relatively rare but may lead to serious clinical outcomes, including respiratory failure and death. These infections were shown to be accompanied by immune dysregulation. We aimed to test whether the admission neutrophil-to-leukocyte ratio, a marker of an aberrant immune response, can predict adverse outcome. METHODS: We retrospectively analyzed a cohort of RSV patients admitted to the Tel Aviv Medical Center from January 2010 to October 2020d. Laboratory, demographic and clinical parameters were collected. Two-way analysis of variance was used to test the association between neutrophil-lymphocyte ratio (NLR) values and poor outcomes. Receiver operating characteristic (ROC) curve analysis was applied to test the discrimination ability of NLR. RESULTS: In total, 482 RSV patients (median age 79 years, 248 [51%] females) were enrolled. There was a significant interaction between a poor clinical outcome and a sequential rise in NLR levels (positive delta NLR). The ROC curve analysis revealed an area under curve (AUC) of poor outcomes for delta NLR of (0.58). Using a cut-off of delta = 0 (the second NLR is equal to the first NLR value), multivariate logistic regression identified a rise in NLR (delta NLR>0) as being a prognostic factor for poor clinical outcome, after adjusting for age, sex and Charlson comorbidity score, with an odds ratio of 1.914 (P = 0.014) and a total AUC of 0.63. CONCLUSIONS: A rise in NLR levels within the first 48 h of hospital admission can serve as a prognostic marker for adverse outcome. Elsevier 2023-05-19 /pmc/articles/PMC10220360/ /pubmed/37251466 http://dx.doi.org/10.1016/j.heliyon.2023.e16482 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Shusterman, Eden
Prozan, Lior
Ablin, Jacob Nadav
Weiss-Meilik, Ahuva
Adler, Amos
Choshen, Guy
Kehat, Orli
Neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients
title Neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients
title_full Neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients
title_fullStr Neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients
title_full_unstemmed Neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients
title_short Neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients
title_sort neutrophil-to-lymphocyte ratio trend at admission predicts adverse outcome in hospitalized respiratory syncytial virus patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220360/
https://www.ncbi.nlm.nih.gov/pubmed/37251466
http://dx.doi.org/10.1016/j.heliyon.2023.e16482
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