Objective To evaluate the predicting effect of quick Sequential Organ Failure Assessment (qSOFA) on septic shock, and investigate the probability of improving the predicting effect. Methods Patients with sepsis diagnosed in Emergency Department from July 2015 to June 2016 were enrolled. They were divided into shock group and non-shock group based on whether or not they had septic shock during 72 hours after admission. The multivariate logistic regression analysis was used to find out the independent risk factors affecting the incidence of septic shock. Receiver operating characteristic (ROC) curve was used to analyze those risk factors. Modified Early Warning Score (MEWS), Mortality in Emergency Department Sepsis Score (MEDS), Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic HealthEvaluation (APACHE)Ⅱ and qSOFA were also compared with ROC curve analysis. The possibility of improvement of qSOFA predicting effect was discussed. Results A total of 821 patients were enrolled, with 108 in septic shock group and 713 in non-septic shock. The result of multivariate logistic regression analysis indicated that respiratory rate, systolic blood pressure, pH value, oxygenation index, lactate, albumin, Glasgow Coma Score and procalcitonin were the independent risk factors (P<0.05). The result of ROC analysis showed that the area under curve (AUC) of pH value, lactate and procalcitonin was 0.695, 0.678 and 0.694, respectively. Lactate had the highest value of specificity (0.868), positive predictive value (0.356) and positive likelihood ratio (3.644), while the sensitivity (0.889) and negative predictive value (0.961) of procalcitonin were the highest. MEWS, MEDS, SOFA, APACHEⅡ and qSOFA were compared with ROC. SOFA had the best predicting effect with the statistical results of AUC (0.833), sensitivity (0.835), specificity (0.435), positive predictive value (0.971), negative predictive value (0.971), and positive likelihood ratio (5.048); and MEWS had the highest negative likelihood ratio (0.581). qSOFA did not show a best predicting value. Conclusion qSOFA is not the best choice to predict the possibility of septic shock, but its predicting value might be improved when combined with pH value, lactate and procalcitonin.
ObjectiveTo investigate the effect of polymyxin B hemoperfusion on the prognosis of patients with sepsis and septic shock by meta-analysis.MethodsSupplemented by manual search and document traceability, the US National Library of Medicine Pubmed, the Dutch Medical Abstracts Embase database, and the Cochrane clinical trial database were searched. Randomized controlled trials (RCTs) were collected from January 1998 to October 2018 for the treatment of sepsis and septic shock with polymyxin B hemoperfusion, only limited to English publications. The collected RCTs were evaluated and the prognosis of patients with sepsis and septic shock was analyzed by the Cochrane Collaboration.ResultsFinally six RCTs were included, and a total of 926 patients were analyzed, with 471 patients in the polymyxin B hemoperfusion group and 455 patients in the control group. The mortality rate was 36.3% (171/471) in the polymyxin B hemoperfusion group and 39.1% (178/455) in the control group. Hemoperfusion with polymyxin B could not reduce the patient mortality (RR=0.80, 95% CI 0.56 to 1.15, P=0.233). A subgroup analysis was taken on the patients with moderate to severe septic shock. Four RCTs were included in total and 418 patients were analyzed, with 207 patients in the polymyxin B hemoperfusion group and 211 in the control group. The mortality rate was 38.65% (80/207) in the polymyxin B hemoperfusion group and 50.71% (107/211) in the control group were. The hemoperfusion of polymyxin B could significantly reduce the mortality of patients with moderate to severe septic shock (RR=0.70, 95% CI 0.52 to 0.96, P=0.025).ConclusionsOlymyxin B hemoperfusion can not improve the prognosis of patients with sepsis and septic shock. However, compared with conventional treatment, polymyxin B hemoperfusion can improve the 28-day mortality rate of patients of severe septic shock. Due to the limit number of randomized controlled trials, more high-quality trials are needed to a further confirmation.
Objective To identify potential hub genes and key pathways in the early period of septic shock via bioinformatics analysis. MethodsThe gene expression profile GSE110487 dataset was downloaded from the Gene Expression Omnibus database. Differentially expressed genes were identified by using DESeq2 package of R project. Then Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses were constructed to investigated pathways and biological processes using clusterProfiler package. Subsequently, protein-protein interaction (PPI) network was mapped using ggnetwork package and the molecular complex detection (MCODE) analysis was implemented to further investigate the interactions of differentially expressed genes using Cytoscape software. Results A total of 468 differentially expressed genes were identified in septic shock patients with different responses who accepted early supportive hemodynamic therapy, including 255 upregulated genes and 213 downregulated genes. The results of GO and the KEGG pathway enrichment analysis indicated that these up-regulated genes were highly associated with the immune-related biological processes, and the down-regulated genes are involved in biological processes related to organonitrogen compound, multicellular organismal process, ion transport. Finally, a total of 23 hub genes were identified based on PPI and the subcluster analysis through MCODE software plugin in Cytoscape, which included 19 upregulated hub genes, such as CD28, CD3D, CD8B, CD8A, CD160, CXCR6, CCR3, CCR8, CCR9, TLR3, EOMES, GZMB, PTGDR2, CXCL8, GZMA, FASLG, GPR18, PRF1, IDO1, and additional 4 downregulated hub genes, such as CNR1, GPER1, TMIGD3, GRM2. KEGG pathway enrichment analysis and GO functional annotation showed that differentially expressed genes were primarily associated with the items related to cytokine-cytokine receptor interaction, natural killer cell mediated cytotoxicity, hematopoietic cell lineage, T cell receptor signaling pathway, phospholipase D signaling pathway, cell adhesion molecules, viral protein interaction with cytokine and cytokine receptor, primary immunodeficiency, graft-versus-host disease, type 1 diabetes mellitus. Conclusions Some lymphocytes such as T cells and natural killer cells, cytokines and chemokines participate in the immune process, which plays an important role in the early treatment of septic shock, and CD160, CNR1, GPER1, and GRM2 may be considered as new biomarkers.
Objective To systematically evaluate the effect of vitamin C supplementation on the mortality of patients with sepsis and septic shock. Methods The Cochrane Library, PubMed, EMbase, Wanfang Data Knowledge Service Platform, China National Knowledge Infrastructure Database and Chinese Science and Technology Periodical Database were searched by computer for randomized controlled trials (RCTs) on the effect of vitamin C on the mortality of patients with sepsis. The retrieval time of each database was from the establishment of the database to January 20, 2022. Two researchers independently screened the literature, extracted data, and evaluated the quality, and then used STATA 16.0 software for meta-analysis. Results A total of 15 RCTs were included, with a total of 2077 patients, including 1041 in the experimental group and 1036 in the control group. The results of literature quality showed that 7 studieswere grade A and 8 studies were grade B, indicating that the overall quality of the included literature was good. The results of meta-analysis showed that compared with the control group, the mortality of patients with sepsis and septic shock in the experimental group were effectively reduced [odds ratio (OR)=0.81, 95% confidential interval (CI) 0.67 - 0.98, P=0.027]. The results of subgroup analysis showed that vitamin C supplementation therapy for more than 4 days could significantly reduce the mortality of the patients with sepsis (OR=0.67, 95%CI 0.49 - 0.90, P=0.008); single treatment could significantly reduce the mortality rate of patients with sepsis (OR=0.50, 95%CI 0.34 - 0.74, P=0.001); vitamin C supplementation can effectively reduce the short-term (≤30 days) mortality of patients with sepsis (OR=0.77, 95%CI 0.63 - 0.96, P=0.017). The funnel plot showed that the included literature was basically symmetrical, and publication bias could not be considered. Conclusions Vitamin C supplementation can effectively reduce the mortality rate of patients with sepsis and septic shock. Vitamin C supplementation treatment course of 4 days or less and single treatment can reduce the mortality rate of patients with sepsis and septic shock, but cannot reduce the long-term (90 days) mortality rate of patients.