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Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome
BACKGROUND: Early recognition of patients hospitalized for sepsis at higher risk of poor clinical outcome is a mandatory task and many studies suggested that indicators of the immune status may be useful for this purpose. We performed a retrospective, monocentric cohort study to evaluate whether lym...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351421/ https://www.ncbi.nlm.nih.gov/pubmed/34372784 http://dx.doi.org/10.1186/s12879-021-06481-1 |
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author | Polilli, Ennio Esposito, Jessica Elisabetta Frattari, Antonella Trave, Francesca Sozio, Federica Ferrandu, Giovanna Di Iorio, Giancarlo Parruti, Giustino |
author_facet | Polilli, Ennio Esposito, Jessica Elisabetta Frattari, Antonella Trave, Francesca Sozio, Federica Ferrandu, Giovanna Di Iorio, Giancarlo Parruti, Giustino |
author_sort | Polilli, Ennio |
collection | PubMed |
description | BACKGROUND: Early recognition of patients hospitalized for sepsis at higher risk of poor clinical outcome is a mandatory task and many studies suggested that indicators of the immune status may be useful for this purpose. We performed a retrospective, monocentric cohort study to evaluate whether lymphocyte subsets may be useful in predicting in-hospital mortality of septic patients. METHODS: Data of all consecutive patients with a diagnosis of sepsis at discharge and an available peripherical blood lymphocyte subset (CD4, CD8, CD16/CD56 and CD19) analysis at hospital entry were retrospectively collected between January 2015 and August 2018. Clinical characteristics of patients, past medical history and other laboratory parameters were also considered. RESULTS: Two-hundred-seventy-eight septic patients, 171 (61.5%) males, mean age 63.2 ± 19.6 years, were enrolled. Total counts of lymphocytes, CD4 T cells, CD8 T cells and B cells were found significantly lower in deceased than in surviving patients. At univariate analyses, CD4 T cells/µL (OR 0.99 for each incremental unit, 95%CI 0.99–1.10, p < 0.0001), age (OR 1.06, 95%CI 1.04–1.09, p < 0.0001), procalcitonin (OR 1.01, 95%CI 1.01–1.02, p < 0.0001) and female gender (OR 2.81, 95%CI 1.49–5.28, p = 0.001) were associated with in-hospital mortality. When a dichotomic threshold of < 400/µL for CD4 T cells as a dependent variable was considered in multivariate models, age (OR 1.04; 95%CI 1.01–1.09, p = 0.018); female gender (OR 3.18; 95%CI 1.40–7.20, p = 0.006), qSOFA (OR 4.00, 95%CI 1.84–8.67, p < 0.001) and CD4 T cells < 400/µL (OR 5.3; 95%CI 1.65–17.00, p = 0.005) were the independent predictors. CONCLUSIONS: In adjunct to biomarkers routinely determined for the prediction of prognosis in sepsis, CD4 T lymphocytes, measured at hospital entry, may be useful in identifying patients at higher risk of in-hospital death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06481-1. |
format | Online Article Text |
id | pubmed-8351421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83514212021-08-09 Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome Polilli, Ennio Esposito, Jessica Elisabetta Frattari, Antonella Trave, Francesca Sozio, Federica Ferrandu, Giovanna Di Iorio, Giancarlo Parruti, Giustino BMC Infect Dis Research Article BACKGROUND: Early recognition of patients hospitalized for sepsis at higher risk of poor clinical outcome is a mandatory task and many studies suggested that indicators of the immune status may be useful for this purpose. We performed a retrospective, monocentric cohort study to evaluate whether lymphocyte subsets may be useful in predicting in-hospital mortality of septic patients. METHODS: Data of all consecutive patients with a diagnosis of sepsis at discharge and an available peripherical blood lymphocyte subset (CD4, CD8, CD16/CD56 and CD19) analysis at hospital entry were retrospectively collected between January 2015 and August 2018. Clinical characteristics of patients, past medical history and other laboratory parameters were also considered. RESULTS: Two-hundred-seventy-eight septic patients, 171 (61.5%) males, mean age 63.2 ± 19.6 years, were enrolled. Total counts of lymphocytes, CD4 T cells, CD8 T cells and B cells were found significantly lower in deceased than in surviving patients. At univariate analyses, CD4 T cells/µL (OR 0.99 for each incremental unit, 95%CI 0.99–1.10, p < 0.0001), age (OR 1.06, 95%CI 1.04–1.09, p < 0.0001), procalcitonin (OR 1.01, 95%CI 1.01–1.02, p < 0.0001) and female gender (OR 2.81, 95%CI 1.49–5.28, p = 0.001) were associated with in-hospital mortality. When a dichotomic threshold of < 400/µL for CD4 T cells as a dependent variable was considered in multivariate models, age (OR 1.04; 95%CI 1.01–1.09, p = 0.018); female gender (OR 3.18; 95%CI 1.40–7.20, p = 0.006), qSOFA (OR 4.00, 95%CI 1.84–8.67, p < 0.001) and CD4 T cells < 400/µL (OR 5.3; 95%CI 1.65–17.00, p = 0.005) were the independent predictors. CONCLUSIONS: In adjunct to biomarkers routinely determined for the prediction of prognosis in sepsis, CD4 T lymphocytes, measured at hospital entry, may be useful in identifying patients at higher risk of in-hospital death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06481-1. BioMed Central 2021-08-09 /pmc/articles/PMC8351421/ /pubmed/34372784 http://dx.doi.org/10.1186/s12879-021-06481-1 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 Polilli, Ennio Esposito, Jessica Elisabetta Frattari, Antonella Trave, Francesca Sozio, Federica Ferrandu, Giovanna Di Iorio, Giancarlo Parruti, Giustino Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome |
title | Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome |
title_full | Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome |
title_fullStr | Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome |
title_full_unstemmed | Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome |
title_short | Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome |
title_sort | circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351421/ https://www.ncbi.nlm.nih.gov/pubmed/34372784 http://dx.doi.org/10.1186/s12879-021-06481-1 |
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