ObjectiveTo investigate the clinical value of quick sequential organ failure assessment (qSOFA) score in predicting the outcome of patients with septic shock. MethodsWe collected the clinical data of 170 patients with septic shock treated in the Emergency Intensive Care Unit between January 2013 and January 2014. According to the 28-day outcomes of the patients, they were recorded as survival group and non-survival group. We calculated the qSOFA score, acute physiology and chronic health evaluation (APACHE)Ⅱ score on patients' admission. Using receiver operating characteristic (ROC) curve, we analyzed the qSOFA score, the effect of APACHE Ⅱ score in predicting the 28-day prognosis for patients with septic shock. The correlation between qSOFA score and APACHEⅡ score was also assessed. ResultsThe qSOFA and APACHEⅡ scores in non-survivors were higher than those in the survivors. According to ROC curve analysis, the area under the curve for qSOFA score and APACHE Ⅱ score was 0.666 and 0.791, respectively. For qSOFA score with 2 cut-off points to evaluate the prognosis of septic shock, the sensitivity was 62.7%, specificity was 61.1%, positive predictive value was 56.0%, negative predictive value was 67.4%, positive likelihood ratio was 1.61, and negative likelihood ratio was 0.61. For the APACHEⅡ score with 24 cut-off points to evaluate the prognosis of septic shock, the sensitivity was 70.7%, specificity was 80%, positive predictive value was 73.6%, negative predictive value was 67.3%, positive likelihood ratio was 3.54, and negative likelihood ratio was 0.37. The correlation coefficient of qSOFA score and APACHE Ⅱ score was 0.499. ConclusionThe qSOFA score is useful to evaluate the prognosis of the patients with septic shock early in Emergency Department.
Objective To systemically review the efficacy and safety of dopamine versus norepinephrine in patients with septic shock. Methods Database searches of MEDLINE, EMbase, Cochrane Controlled Trials Register, VIP, CNKI, and CBM (from the date of database establishment to June 2011) were conducted. Additional studies for collecting relevant data were retrieved via both references of articles and direct contact with authors. Prospectively, randomized controlled trials (RCTs) of dopamine compared with norepinephrine therapy in septic shock patients were selected. The quality of included trials was assessed and relevant data were extracted. Then statistical analysis was performed using RevMan 5.1. Results Nine trials with 3 179 participants were included. The results of meta-analysis showed: compared with norepinephrine, dopamine was associated with a significant 12% elevation in the risk ratio of in-hospital death events of septic shock patients (RR=1.12, 95%CI 1.04 to 1.21, P=0.002). The risk of arrhythmias in dopamine group was 2.63-fold than that in norepinephrine group (RR=2.63, 95%CI 1.51 to 4.55, P=0.000 6). The cardiac index of septic patients in dopamine group was higher than that in norepinephrine group (MD=0.42, 95%CI 0.21 to 0.63, Plt;0.000 1). No significant difference could be found in the heart rate (MD=17.05, 95%CI –0.71 to 34.81, P=0.06) and mean arterial pressure (MD= –0.87, 95%CI –24.97 to 7.62, P=0.30). Conclusion Findings from this meta-analysis suggest that compared with dopamine, norepinephrine significantly reduces both 28-day mortality of septic shock patients and incidence rate of arrhythmias. Norepinephrine is better than dopamine in aspects of efficacy and safety.
ObjectiveTo explore the value of inferior vena cava inspiratory collapsibility (ΔIVC) in guiding septic shock resuscitation with early goal-directed therapy (EGDT).MethodsA single center, randomized controlled trial was conducted at an 812-bed hospital in Mianyang, Sichuan. Adult patients with early septic shock in the intensive care unit were assessed and treated at defined intervals over 6 h using an ΔIVC-guided resuscitation protocol or an EGDT protocol. Feasibility outcomes were fluid balance and norepinephrine administration. The primary clinical outcomes were in-hospital mortality rate, 90-day survival rate. Secondary outcomes included incidence of acute kidney injury and consumption of health resources.ResultsSixty-eight patients with septic shock were enrolled in this study. Baseline characteristics were similar between the two groups. The ΔIVC-guided septic shock resuscitation group was lower than the EGDT group in the ICU 24 h fluid replacement (L): 3.8 (4.0, 5.3) vs. 4.7 (4.0, 6.6), 72 h liquid positive balance (L): 0.2 (–0.65, 1.2) vs. 2.5 (0.0, 4.1), intensive care unit length of stay (d): 7.5 (5.0, 14.0) vs. 15.0 (7.0, 21.5), mechanical ventilation cumulative time (d): 3.0 (0.0, 7.0) vs. 7.5 (2.2, 12.0), ICU costs (ten thousand yuan): 3.4 (2.1, 5.9) vs. 8.6 (4.2, 16.5), bedside blood purification treatment costs (ten thousand yuan): 2.3 (1.1, 3.3) vs. 6.8 (2.1, 10.0) (P<0.05). No difference was observed in the incidence of acute kidney injury (P > 0.05), in-hospital mortality and 90-day survival between the two groups (log-rank χ2=0.35, P>0.05).ConclusionsAmong patients with septic shock, a ΔIVC-guided septic shock resuscitation, compared with EGDT, did not reduce in-hospital mortality. It might prevent the risk of over resuscitation, shorten the duration of mechanical ventilation, and lead to a better utilization of intensive care unit resources.
ObjectiveTo systematically review the efficacy of pulse indicating continuous cardiac output (PICCO) monitoring for guiding the treatment of patients with septic shock.MethodsDatabases including PubMed, The Cochrane Library, EMbase, Web of Science, CBM, WanFang Data, VIP and CNKI were electronically searched from inception to February 2017 to collect randomized controlled trials (RCTs) about PICCO monitoring on treatment guidance of patients with septic shock. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then meta-analysis was performed using Stata 12.0 software.ResultsA total of 20 RCTs involving 1 253 patients were included. The results of meta-analysis showed: compared with central venous pressure (CVP) measurements, the treatment of sepsis bundles informed by PICCO could significantly shorten the length of intensive care unit (ICU) stay (MD=–2.74, 95%CI –3.40 to –2.09, P<0.001), reduce the ICU mortality (RR=0.49, 95%CI 0.36 to 0.67, P<0.001) and 28-day mortality (RR=0.61, 95%CI 0.43 to 0.87, P=0.006).ConclusionCurrent evidence shows the PICCO monitoring can significantly improve the prognosis of septic shock. Due to limited and quantity quality of the included studies, more high-quality studies are needed to verify above conclusion.
ObjectiveTo investigate the influence of norepinephrine on pulmonary vessel pressure in animal model of septic shock. MethodsTwelve health mongrel dogs were randomly divided into a control group (n=5, intravenously injected with normal saline 1 mL/kg) and an endotoxin group(n=7, intravenously injected with lipopolysaccharide 1 mg/kg). When the systemic blood pressure decreased by more than 40% of baseline before administration, the dogs in two groups were intravenously injected with NE 0.5, 1.0, 2.0, 5.0μg·kg-1·min-1. The interval of each dose was more than 10 minutes. The changes of the pulmonary arterial pressure (PAP), pulmonary venous pressure (PVP), and systemic arterial rressure (SAP) were recorded and compared between two groups. ResultsIn the control group, PAP didn't change significantly after administration (P < 0.05), however, PVP increased obviously after NE administration in dose of 2.0 and 5.0μg·kg-1·min-1 (P < 0.05), and SAP increased obviously after NE administration in dose of 1.0, 2.0 and 5.0μg·kg-1·min-1 (P < 0.01). In the endotoxin group, PAP increased obviously after NE administration in dose of 2.0 and 5.0μg·kg-1·min-1 (P < 0.05), while PVP didn't change significantly (P > 0.05), and SAP increased obviously after NE administration in dose of 1.0, 2.0 and 5.0μg·kg-1·min-1 (P < 0.05). There were significant differences in SAP (P < 0.05), not in PAP and PVP (P > 0.05), between two groups after NE administration at dose of 1.0, 2.0 and 5.0μg·kg-1·min-1. The PVP/SAP and PAP/SAP values didn't change significantly after administration in the control group (P > 0.05). In the endotoxin group, the PVP/SAP and PAP/SAP values increased significantly after LPS administration, and decreased slightly after NE administration in dose of 2.0 and 5.0μg·kg-1·min-1 (P < 0.05). ConclusionsNE administration in septic shock can not increase the angiotasis of the pulmonary vein. NE administration in dose of 2.0 and 5.0μg·kg-1·min-1 can cause the increase of PAP and SAP, but the increase of PAP is lower than the increase of SAP.
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 evaluate the value of stroke volume variation (SVV) and intrathoracic blood volume index (ITBVI) to predict fluid responsiveness in mechanically ventilated septic shock patients with spontaneous breathing. MethodsA prospective observational study was conducted in the Department of Critical Care Medicine of the First Affiliated Hospital of Guangzhou Medical University. Fluid resuscitation data was collected in septic shock patients who received PiCCO monitoring from June 2013 to June 2014. Transpulmonary thermodilution data were collected before and after fluid resuscitation, including cardiac index (CI), SVV, ITBVI, and central venous pressure (CVP). Seventeen patients were defined as responders by an observed increase of≥15% in the cardiac index (CI) after fluid resuscitation, 12 patients were defined as non-responders. Pearson correlation between changes of CI (ΔCI) and SVV, ITBVI, CVP was established. Area under the receiver operating characteristic (ROC) curve of SVV, ITBVI and CVP was calculated for predicting fluid responsiveness. ResultsBaseline CI and ITBVI were significantly lower in the responders (P < 0.05).There was no significant difference in baseline SVV between the responders and the non-responders (P > 0.05). A significant correlation was found between baseline ITBVI andΔCI (r=-0.593, P < 0.001), but no significant correlation between SVV andΔCI (r=0.037, P=0.847) or CVP andΔCI (r=0.198, P=0.302). The area under ROC curve of SVV, ITBVI and SVV for predicting fluid responsiveness was 0.640 (P=0.207), 0.865 (P=0.001), and 0.463 (P=0.565), respectively. The cut-off value of ITBVI for predicting fluid responsiveness was 784 mL/m2 with a sensitivity of 100.0% and a specificity of 70.6%. ConclusionIn mechanically ventilated septic shock patients with spontaneous breathing, ITBVI may be a valuable indicator in predicting fluid responsiveness compared with SVV.
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 investigate the value of pulse indicator continuous cardiac output ( PiCCO) monitoring in the treatment of septic shock.Methods Patients with septic shock were selected in intensive care unit ( ICU) . After initial empirical resuscitating and using vasoactive drugs, the patients with circulation instability were connected with the PiCCO temperature probe to monitor hemodynamics and to resuscitate in the target of intrathoracic blood volume index ( ITBVI) , cardiac index ( CI) , extravascular lung water index ( EVLWI) . Hemodynamic parameters, oxygen metabolic variability and 24h-fluid management after 0h ( before) , 8h, 24h, the rate of implementing resuscitation goals, oxygen metabolic variability and fluid resuscitation at different times in the guidance of PiCCO parameters were compared. The data of age, APACHEⅡ score, central venous pressure ( CVP) , CI, ITBVI, mean arterial pressure ( MAP) , systemic vascular resistance index ( SVRI) and EVLWI after 0h and 24h were substituted into the regression equation by the multiple linear regression, to determine the indexes which would affect the 28-day prognosis. Results A total of 80 patients with septic shock were recruited in the study. Comparing fluid resuscitation at different times in the guidance of PiCCO,MAP( 73.6 ±13.4 and 75.1 ±10.2 mm Hg) , ITBVI ( 843.5 ±168.9 and 891.5 ±232.9 mL/m2 ) and CI ( 3.2 ±1.1 and 3.9 ±0. 4 L· min-1 · m-2 ) on 8h and 24h were significantly higher than that at 0h ( 69.1 ±21.4 mm Hg, 781.2±146.7 mL/m2 and 2.7 ±1.5 L·min-1·m-2 ) , and Lac( 2.0 ±1.4 and 1.1 ±1.0 mmol /L) and SVRI ( 1 624. 2 ±301. 7 and 1 543.6 ±435.4 d·s·m2·cm-5 ) were declined than that at 0h( 3.1 ±2.4 mmol /L and 1 796.2 ±399.1 d·s·m2 ·cm-5 ) ( Plt;0.05) . The rate of implementing resuscitation goals at 8h ( 64.7% ) and 24h ( 66.9% ) were significantly higher than that at 0h ( 55.7% ) ( Plt;0.05) , but there was no significant difference between 8h and 24h ( Pgt;0.05) . All of the patients were divided into a survival group ( n=54) and a death group ( n=26) . The rate of implementing resuscitation goals at 0h and 24h in the survival group ( 57.1% and 71.3% ) were significantly higher than that of the death group( 28.6% and 39.3% ) . By the prognosis on 28-day as the dependent variability in the multiple linear regression, multiple linear regression equation were established, and there was significantly difference ( F=55.03, Plt;0.05) . By the layer-wise screening, equation was fitted, both the CI ( R=0.431) and ITBVI ( R=0.627) at beginning and EVLWI ( R= 0.305) at 24h were determined to influence the 28-day prognosis. Conclusions The fluid resuscitation under the guidance of PiCCO can achieve the goal better and improve the prognosis. CI, ITBVI and EVLWI were useful goaldirectors for the prognosis evaluation in critical ill patients.
ObjectiveTo explore the effects of metoprolol on hemodynamics of early septic shock patients with myocardial injury. MethodsWe prospectively recruited 22 septic shock patients with myocardial injury, who were admitted to the ICU of Xiaolan Hospital during March 2014 and February 2015.The metoprolol was injected through central venous catheter to reduce heart rate by 20% from baseline and maintain for 6h.Hemodynamic and oxygen metabolic parameters were collected to establish database. ResultsHeart rate decreased significantly to (98±18), (95±16) and (92±18) beat/min respectively at 1h, 3h and 6h post-dosing, compared with (125±28) beat/min at pre-dosing (P < 0.05).Cardiac index decreased significantly to (3.2±1.5), (3.3±1.9) and (3.3±1.6) L·min-1·m-2 respectively at 1h, 3h and 6h post-dosing, compared with (3.9±2.5) L·min-1·m-2 at pre-dosing (P < 0.05).The mean blood pressure, central venous pressure, pulmonary artery wedge pressure, pulmonary vascular resistance index, systemic vascular resistance index and stroke volume index showed no significant changes between pre-dosing and post-dosing (all P > 0.05). Lactate concentration decreased significantly to (9.8±4.1) and (8.1±3.6)mmol/L respectively at 3h and 6h post-dosing, compared with (13.4±5.2)mmol/L at pre-dosing (all P < 0.05), but mixed venous oxygen saturation showed no significant changes (P > 0.05). ConclusionMetoprolol may reduce heart rate and cardiac output in septic shock patients with myocardial injury, without obvious adverse effects on circulatory function and systemic perfusion.