RESUMEN
Objective: To explore the expression of peripheral blood dendritic cells (DCs) CD86, CD80, and Th1/Th2 in patients with sepsis and their value on survival prediction. Methods: 118 patients with sepsis from January 2019 to December 2020 were selected, According to the prognosis, the patients were divided into the death group (n = 46) and survival group (n = 72). The general data and pathogen division of the two groups were collected, and the levels of peripheral blood DCs CD86, CD80, and Th1/Th2; APACHE II score; inflammatory factor (procalcitonin (PCT)); and cell growth chemokine (GRO) were compared between the two groups heparin-binding protein (HBP) and myocardial enzyme indexes (creatine kinase (CK), creatine kinase isozyme (CK-MB), and lactate dehydrogenase (LDH)) to explore the relationship between CD86, CD80, Th1/Th2, and various serological indexes and the evaluation value of prognosis. Results: 124 strains of pathogenic bacteria were isolated from 118 patients, including 78 strains of gram-negative bacteria (62.90%), 31 strains of Gram-positive bacteria (25.00%), and 15 strains of fungi (12.10%). The scores of CD86, CD80, Th1, Th2, Th1/Th2, and APACHE II in the dead group were higher than those in the surviving group, and the difference was statistically significant (P < 0.05). PCT, GRO-α, HBP, LDH, CK-MB, and CK levels of patients in death group were higher than those in survival group, and the difference was statistically significant (P < 0.05). The levels of peripheral blood DCs CD86, CD80, and Th1/Th2 were positively correlated with PCT, GRO-α, HBP, LDH, CK-MB, and CK (P < 0.05). ROC curve analysis showed that the AUC of the combined detection of DCs CD86, CD80, and Th1/Th2 in peripheral blood was 0.951, which was higher than 0.882, 0.883, and 0.734 of single index (P < 0.05). Conclusion: All patients with sepsis have immune imbalance, and the peripheral blood CD86, CD80, and Th1/Th2 of the dead patients are higher than those of the survivors. The combined detection of these three indicators has the highest predictive value for the prognosis of patients.
