Predictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis

This study investigates the prognostic value of immune cell subsets in assessing the risk of death in patients with sepsis. This retrospective study collected 169 patients from March 2020 to February 2021 at our hospital. Baseline data were collected from patients. The absolute values (Abs) and perc...

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Autores principales:	Ying Zhang MM, Jia Wang MM, Le Hu MM, Jingchao Xuan MM, Yifan Qu MM, Yixuan Li MM, Xinghua Ye MM, Long Yang MM, Jun Yang MM, Xiangqun Zhang MM, Junyu Wang MD, Bing Wei MM
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Diseases of the circulatory (Cardiovascular) system RC666-701
Acceso en línea:	https://doaj.org/article/137cd508347749e49a1b11d88aee519c
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spelling	oai:doaj.org-article:137cd508347749e49a1b11d88aee519c2021-11-11T00:33:30ZPredictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis1938-272310.1177/10760296211059498https://doaj.org/article/137cd508347749e49a1b11d88aee519c2021-11-01T00:00:00Zhttps://doi.org/10.1177/10760296211059498https://doaj.org/toc/1938-2723This study investigates the prognostic value of immune cell subsets in assessing the risk of death in patients with sepsis. This retrospective study collected 169 patients from March 2020 to February 2021 at our hospital. Baseline data were collected from patients. The absolute values (Abs) and percentages (%) of immune cell subsets for lymphocytes, T cells, CD4+ cells, CD8+, B cells, NK cells, and NKT cells were measured using flow Cytometry. Among the included patients, 43 patients were in the nonsurvivor group and 126 patients were in the survivor group. The age of patients in the nonsurvivor survivor was higher than that of survivor group patients ( P = .020). SOFA, APACHE II, C-reactive protein, and procalcitonin were higher in the nonsurvivor group than in the survivor group (all P values < .05). Multivariate regression analysis showed that lymphocytes (%) and SOFA were independent risk factors affecting patients’ prognosis. Lymphocytes (%) have the highest area under the receiver operating characteristic (ROC) curve (0.812). The model area under the ROC curve for immune cell subsets was 0.800, with a sensitivity of 72.09%, and specificity of 79.27% ( z = 7.796, P < .001). Analysis of patient prognosis by immune cell subsets diagnostic showed statistically significant differences in the grouping of cut-off values for all 5 indicators (all P < .05). The lymphocytes (%) and SOFA score are independent risk factors affecting the prognosis of patients. A moderate predictive power for mortality in sepsis patients by immune cell subsets model.Ying Zhang MMJia Wang MMLe Hu MMJingchao Xuan MMYifan Qu MMYixuan Li MMXinghua Ye MMLong Yang MMJun Yang MMXiangqun Zhang MMJunyu Wang MDBing Wei MMSAGE PublishingarticleDiseases of the circulatory (Cardiovascular) systemRC666-701ENClinical and Applied Thrombosis/Hemostasis, Vol 27 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Diseases of the circulatory (Cardiovascular) system RC666-701
spellingShingle	Diseases of the circulatory (Cardiovascular) system RC666-701 Ying Zhang MM Jia Wang MM Le Hu MM Jingchao Xuan MM Yifan Qu MM Yixuan Li MM Xinghua Ye MM Long Yang MM Jun Yang MM Xiangqun Zhang MM Junyu Wang MD Bing Wei MM Predictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis
description	This study investigates the prognostic value of immune cell subsets in assessing the risk of death in patients with sepsis. This retrospective study collected 169 patients from March 2020 to February 2021 at our hospital. Baseline data were collected from patients. The absolute values (Abs) and percentages (%) of immune cell subsets for lymphocytes, T cells, CD4+ cells, CD8+, B cells, NK cells, and NKT cells were measured using flow Cytometry. Among the included patients, 43 patients were in the nonsurvivor group and 126 patients were in the survivor group. The age of patients in the nonsurvivor survivor was higher than that of survivor group patients ( P = .020). SOFA, APACHE II, C-reactive protein, and procalcitonin were higher in the nonsurvivor group than in the survivor group (all P values < .05). Multivariate regression analysis showed that lymphocytes (%) and SOFA were independent risk factors affecting patients’ prognosis. Lymphocytes (%) have the highest area under the receiver operating characteristic (ROC) curve (0.812). The model area under the ROC curve for immune cell subsets was 0.800, with a sensitivity of 72.09%, and specificity of 79.27% ( z = 7.796, P < .001). Analysis of patient prognosis by immune cell subsets diagnostic showed statistically significant differences in the grouping of cut-off values for all 5 indicators (all P < .05). The lymphocytes (%) and SOFA score are independent risk factors affecting the prognosis of patients. A moderate predictive power for mortality in sepsis patients by immune cell subsets model.
format	article
author	Ying Zhang MM Jia Wang MM Le Hu MM Jingchao Xuan MM Yifan Qu MM Yixuan Li MM Xinghua Ye MM Long Yang MM Jun Yang MM Xiangqun Zhang MM Junyu Wang MD Bing Wei MM
author_facet	Ying Zhang MM Jia Wang MM Le Hu MM Jingchao Xuan MM Yifan Qu MM Yixuan Li MM Xinghua Ye MM Long Yang MM Jun Yang MM Xiangqun Zhang MM Junyu Wang MD Bing Wei MM
author_sort	Ying Zhang MM
title	Predictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis
title_short	Predictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis
title_full	Predictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis
title_fullStr	Predictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis
title_full_unstemmed	Predictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis
title_sort	predictive value of immune cell subsets for mortality risk in patients with sepsis
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/137cd508347749e49a1b11d88aee519c
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_version_	1718439561669902336

Predictive Value of Immune Cell Subsets for Mortality Risk in Patients With Sepsis

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