Objective To evaluate the effects and the clinical significances of liquid resuscitation on blood gas analysis， acid-base balance， electrolytes， acute physiology and chronic health evaluationsⅡ（APACHEⅡ） score of patients with septic shock， and then to analyze the relations between serum chlorine （Cl－） level and APACHEⅡscore and the volume of liquid resuscitation. Methods According to the target of resuscitation （centre venous pressure 8-12mm Hg and mean arterial pressure≥65mm Hg）， 21 patients with septic shock received enough fluid for resuscitation during 24h . The results of blood gas analysis， acid-base balance， electrolytes， and APACHE Ⅱ score were compared between pre-resuscitation and 24h post-resuscitation by self-controlled prospective study. The relationships of the level of serum Cl－ and APACHEⅡ score with the volume of liquid used in resuscitation were analyzed . Results The mean resus-citation duration was （18.09±4.57） h， and the volume of liquid during 24 h resuscitation was 5 320-11 028mL with mean volume of （7 775±1 735） mL in 21 patients with septic shock. Serum sodium （Na＋， mmol/L） and Cl－（mmol/L）levels of post-resuscitation were significant higher than those of pre-resuscitation （Na＋：138.71±5.67 versus 135.62±7.23， P=0.024；Cl－：109.10±4.90 versus 101.67±8.59， P=0.000）. Compared with the levels of pre-resuscitation， the blood pH value， hematocrit （Hct，%）， anion gap （AG， mmol/L）， lactic acid （mmol/L）， and APACHE Ⅱscore significantly decreased （pH：7.31±0.05 versus 7.37±0.06， P=0.000；Hct：28.48±2.56 versus 32.76±9.19， P=0.049；AG：8.33±3.45 versus 14.17±8.83， P=0.004；lactic acid：1.66±0.89 versus 2.96±1.23， P=0.001；APACHEⅡ：10.90±3.73 versus 17.24±4.06， P=0.000） after 24h resuscitation. The correlation analysis showed that the level of serum Cl- was positively correlated with the volume of liquid used in resuscitation （r=0.717，P＜0.01）. However， there was no correlation between APACHEⅡscore and the volume of liquid used in resuscitation （P＞0.05）. Conclusions The target of liquid resuscitation in patients with septic shock should be cautiously determined， including control of the volume of crystal liquid for resuscitation， in order to avoid acid-base imbalance or hyperchloraemia. At the same time， the change in internal environment should be monitored. An optimistic fluid resuscitation to decrease APACHE Ⅱ score in patients with septic shock is unrelated to the volume of liquid resuscitation.
This article reports the management of thirty elderly patients of septic shock during anesthesia. Twenty-four of them received continious epidural anesthesia, five of them were under intravenous general anesthesia with endotracheal intubation, and onr patients recerived intravenous ketamine anesthesia. The effects of these patients on enesthesia wer satisfactory. Twenty-four patients recouverd after roperation. Six patients died. The authors atresses the high risk of anesthetic management in these patients. Experiences are introduced in per-anesthetic preparation and medication selection and maintenance of anesthesia, monitoring and treatment during anesthesia and postoperative care of septic shock of the elderly.
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.
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.
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 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.
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 investigate the value of central venous-to-arterial carbon dioxide difference/arterial-to-venous oxygen difference ratio [P(cv-a)CO2/C(a-cv)O2] in predicting oxygen metabolism after fluid resuscitation in patients with septic shock. Methods A prospective observational study was carried out on septic shock patients admitted in the intensive care unit of Nanjng Drum Tower Hospital from November 2013 to April 2014. All patients underwent fluid challenge (300 ml saline for 20 min, rapid intravenous infusion). The patients were divided into a fluid responded group (ΔCI≥10%) and a fluid unresponded group (ΔCI＜10%), according to the change of cardiac output index (ΔCI) after fluid challenge. Then the patients were divided into two subgroups in the fluid responded group, namely a ΔVO2≥10% group and a ΔVO2＜10% group, according to the change of VO2 (ΔVO2). Cardiac output index (CI) were determined by pulse indicator continuous cardiac output (PICCO). Hemoglobin, arterial carbon dioxide (PaCO2), arterial oxygen (PaO2), arterial oxygen saturation (SaO2), arterial blood lactate, central venous carbon dioxide (PcvCO2), central venous oxygen (PcvO2) and central venous oxygen saturation (ScvO2) were measured by blood gas analysis. P(cv-a)CO2/C(a-cv)O2 and oxygen consumption (VO2) were calculated. P(cv-a)CO2/C(a-cv)O2 before and after fluid challenge was compared between two subgroups. Results Fluid challenges were performed in 23 instances in 18 patients, among which 17 instances were defined as the fluid responded group. Compared with the fluid unresponded group, P(cv-a)CO2/C(a-cv)O2, arterial lactate and ScvO2 had no significant difference [P(cv-a)CO2/C(a-cv)O2](mm Hg/ml): 2.05±0.75vs. 1.58±0.67; arterial lactate (mmol/l): 3.78±2.50vs. 3.26±2.42; ScvO2(%): 73.71±9.64vs. 70.30±12.01,P＞0.05] in the fluid responded group before resuscitation. In the fluid responded group, there were 10 instances in the ΔVO2≥10% group and 7 instances in the ΔVO2＜10% group. P(cv-a)CO2/C(a-cv)O2 (mm Hg/ml) was significantly higher in the ΔVO2≥10% group before resuscitation compared with the ΔVO2＜10% group (2.43±0.73vs. 1.51±0.37,P＜0.01). Lactate (mmol/l) was also higher in the ΔVO2≥10% group before resuscitation (4.53±2.52vs. 1.46±0.82,P＜0.01). ScvO2 (%) had no significant difference between two groups (70.79±9.15vs. 72.13±13.42,P＞0.05). The areas under ROC curve (AUCs) of P(cv-a)CO2/C(a-cv)O2, lactate and ScvO2 for predicting ΔVO2≥10% were 0.843, 0.921, and 0.529, respectively. The sensitivity and specificity of P(cv-a)CO2/C(a-cv)O2≥1.885 mm Hg/ml for predicting ΔVO2≥10% after fluid resuscitation were 70% and 86%, respectively. Conclusion For septic shock patients with fluid responsiveness, P(cv-a)CO2/C(a-cv)O2 can predict oxygen metabolism after fluid resuscitation and can be used as a reliable parameter to guide fluid resuscitation.
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 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.