The Predictive Value of Absolute Lymphocyte Count and T Cell Subpopulations for Sepsis Prognosis

绝对淋巴细胞计数和T细胞亚群对脓毒症预后的预测价值

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Abstract

BACKGROUND: Sepsis causes substantial morbidity and mortality and constitutes a major public health problem. In patients with sepsis, immunosuppression is associated with poor prognosis, and immune monitoring during the early stages has prognostic value. This study aims to explore immunologic parameters associated with sepsis prognosis, potentially identifying patients who may benefit from immunotherapy, improving intensive care survival. METHODS: A total of 65 patients with sepsis from the Department of Emergency Medicine were divided based on survival at 28 days (47 in the survival group, 18 in the non-survival group). Peripheral blood was collected to measure absolute lymphocyte count and T lymphocyte subpopulations, including the percentage and absolute count of total T cells, CD4(+) T, CD8(+) T, and NK cells, and the percentages of naïve CD4(+) T, central memory CD4(+) T, effector CD4(+) T, effector memory CD4(+) T, naïve CD8(+) T, central memory CD8(+) T, effector CD8(+) T, effector memory CD8(+) T, CD4(+)HLA-DR(+) T, and CD8(+)HLA-DR(+) T cells, and Tregs. The differences in these parameters between the two groups were compared and a regression model was constructed to identify possible risk factors for death in patients with sepsis. RESULTS: The absolute lymphocyte count, absolute T cell count (CD3(+), CD4(+), and CD8(+)) and naïve CD4(+) T cell percentage were significantly lower in the non-survival group. Conversely, Tregs were higher in patients who did not survive sepsis. In regression analysis, the absolute lymphocyte count and naïve CD4(+) T cell percentage remained statistically significant. The receiver operating characteristic curve showed that a model based on the absolute lymphocyte count (435 cells/µL) and naïve CD4(+) T cell percentage (20.25%) performed best in predicting sepsis prognosis. CONCLUSION: Monitoring of absolute lymphocyte count and analysis of T cell subtypes in the early phase of sepsis is predictive of outcome and may help identify those patients who would benefit from immunotherapy, improving survival.

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