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.
