Evaluation of a combination "lymphocyte apoptosis model" to predict survival of sepsis patients in an intensive care unit

BMC Anesthesiology
Wenqiang JiangHongke Zeng

Abstract

A major challenge in sepsis intervention is unclear risk stratification. We postulated that a panel of biomarkers of lymphocyte apoptosis and immune function, termed the "lymphocyte apoptosis model," would be an effective tool for predicting 28-day survival for sepsis patients. A total of 52 consecutive sepsis patients were enrolled. Peripheral blood samples were collected on day 1 of admission for quantification of biomarkers of lymphocyte apoptosis and immune function, including lymphocyte count, lymphocyte apoptotic percentage, expression on monocyte HLA-DR, CD4+/CD8+ T cell ratio, T helper type 1 to type 2 ratio (Th1/Th2), cytochrome c levels, and various proinflammatory cytokine levels. Sepsis severity was classified using Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA) scores. Survival was assessed at 28 days. Compared with survivors, non-survivors had significantly higher lymphocyte apoptotic percentages and plasma cytochrome c levels and significantly lower lymphocyte counts, Th1/Th2 ratios, and HLA-DR expression on day 1 of admission. Multivariate analysis identified cytochrome c levels (odds ratio [OR]1.829, p = 0.025), lymphocyte apoptotic percentage (OR 1....Continue Reading

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Citations

Jan 15, 2021·Scientific Reports·Marianna MiliarakiGeorge Briassoulis
Oct 20, 2020·The Journal of Trauma and Acute Care Surgery·Pieter de JagerGuy A Richards
Jan 26, 2021·International Journal of Clinical Practice·Concepción Beneyto-RipollMaría de Los Ángeles Carbonell-Torregrosa
Oct 15, 2020·Scientific Reports·Davide Chicco, Giuseppe Jurman

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Methods Mentioned

BETA
enzyme-linked immunosorbent assay
blood collection
FACS
flow
ELISA
nuclear magnetic resonance

Software Mentioned

SPSS
R
SPSS®

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