Prognostic value of CD64,PCT and SChE in patients with septic shock
Objective To investigate the prognostic value of serum CD64,procalcitonin(PCT)and cholinesterase(SChE)in patients with septic shock.Methods A total of 118 patients with septic shock were selected as the study subjects from January 2020 to December 2022 at the second Department of Critical Care Medicine in North Anhui Coal and Power Group General Hospital.The patients were divided into two groups:the survival group(n=98)and the death group(n=20)based on their 28-day prognosis.General data for both groups of patients were collected,and serum PCT and SChE levels were detected using a fully auto-matic biochemical analyzer.Serum CD64 levels were detected using flow cytometry.The levels of Serum CD64,PCT and SChE were compared between the two groups,and ROC curves were drawn to evaluate the prognostic value of single and combined detection of the above indicators in patients with septic shock.Results The levels of CD64,PCT,APACHEⅡscore,serum lactate,white blood cell count,and C-reactive protein in the death group were significantly higher than those in the survival group(t=3.942,7.723,5.246,11.530,6.533,4.426,P<0.05).The serum SChE level in the survival group was significantly higher than that in the death group(t=6.288,P<0.05).Multivariate logistic regression analysis showed that CD64(β=1.251,OR=3.494),PCT(β=0.562,OR=1.754),and SChE(β=0.961,OR=2.614)were independent influencing factors for poor prognosis in septic shock patients(P<0.05).The ROC curve showed that when CD64,PCT and SChE were combined,the AUC for predicting death in septic shock patients was 0.960,and the sensitivity and specificity were 90.0%and 94.9%,respectively,which was better than that of single detection(P<0.05).Conclusion Serum CD64 and PCT levels were significantly increased,while SChE levels were significantly decreased in patients with septic shock.The combined assessment of CD64 and PCT levels could service as a valuable prognostic indicator for septic shock patients.
NETL
NSTL
万方数据
维普
