Objective To compare the effect of anesthesia management between enhanced recovery after surgery (ERAS) protocol and traditional protocol on stress level of thyroid surgery.Methods Sixty-two patients receiving thyroid surgery from May 2016 to August 2016, 13 males and 49 females, aged 18-65 years, of ASA physical status Ⅰ or Ⅱ, were randomly divided into group ERAS (n=29) and traditional group (group C, n=33).Each group had its own anesthesia management protocol.Operation method, operation duration, the level of pain during emergence and on the first postoperative day, the occurrence rate of complications and the satisfaction evaluation of pain and nausea and vomiting after the operation day were recorded.C-reactive protein (CRP), serum cortisol, interleukin-6 (IL-6), interleukin-8 (IL-8) and tumor necrosis factor (TNF-α) before and after the operation day were evaluated.Results The visual analogue scale (VAS) pain score in group ERAS was lower than that in group C during emergence [(0.42±0.83) points vs (0.95±1.16) points]and on the first postoperative day [(1.90±1.21) points vs (2.73±1.40) points] (P<0.05).Group ERAS was more satisfied with pain relief at first day after the surgery than that of group C (P<0.05).The level of CRP in group ERAS was lower than that in group C on the operative day and the first postoperative day (P<0.05).In group C, the level of CRP on the operative day and the first postoperative day were much higher than those before the surgery (P<0.05).The occurrence rate of complications between the two groups had no statistical difference.Conclusion The perioperative ERAS anesthesia management of thyroid surgery is safe and effective in pain management, patient satisfaction and accelerated recovery.

Objective To identify the potential differently expressed genes and microRNAs(mi-RNAs)in sepsis survivors and non-survivors through bioinformatics-based research based on gene expression omnibus(GEO).Methods Two gene expression profile microarray datasets of human blood samples(GSE48080 and GSE54514)were downloaded from the GEO database.The differential expression genes(DEGs)between sepsis survivors and non-survivors at two time points(diagnosis of sepsis,course of sep-sis)were screened with the GEO2R online tool.The gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis were used to study the pathophysiological processes and potential signaling pathways involved in sepsis related death DEGs.STRING online tool was used to construct the DEGs protein-protein interaction(PPI).Cytoscape with CytoHubba was used to investigate the potential hub genes.NetworkAnalyst was used to construct targeted miRNAs of the hub genes.Real-time quantitative PCR(RT-qPCR)was established to evaluate the expression of potential hub genes in our sepsis survivors and non-survivors.Results During the course of sepsis,there was heterogeneity in gene expre-ssion between sepsis survivors and non-survivors.Fifteen DEGs were found to be remarkably differentially expressed between sepsis survivors and non-survivors during the course of sepsis.Four KEGG pathways,in-cluding staphylococcus aureus infection,NOD-like receptor signaling pathway,sulfur metabolism and col-lecting duct acid secretion,were significantly enriched.In combination with the results of the PPI network and CytoHubba,ten hub genes(SLC4A1,EPB42,LTF,LCN2,DEFA4,HBM,HBG1,GMPR,CAMP,OLFM4)were selected as potential biomarkers for sepsis-associated mortality.With NetworkAnalyst analysis,ten miRNAs were predicted as potential key miRNAs.RT-qPCR confirmed that the expressions of five of these genes(SLC4A1,EPB42,LCN2,DEFA4,OLFM4)were in accordance with the microarray results.Conclusion Bioinformatics analysis based on GEO database showed DEGs between sepsis suvivors and non-survivors in the course of sepsis,which contributed to identification of potential biomarkers and risk factors for sepsis-associated mortality.