Serum Procalcitonin Level and SOFA Score at Discharge from the Intensive Care Unit Predict Post-Intensive Care Unit Mortality: A Prospective Study

Purpose

The final decision for discharge from the intensive care unit (ICU) is uncertain because it is made according to various patient parameters; however, it should be made on an objective evaluation. Previous reports have been inconsistent and unreliable in predicting post-ICU mortality. To identify predictive factors associated with post-ICU mortality, we analyzed physiological and laboratory data at ICU discharge.

Methods

Patients admitted to our ICU between September 2012 and August 2013 and staying for critical care>2 days were included. Sequential Organ Failure Assessment (SOFA) score; systemic inflammatory response syndrome score; white blood cell count; and serum C reactive protein, procalcitonin (PCT), interleukin-6 (IL-6), lactate, albumin, and hemoglobin levels were recorded. The primary end point was 90-day mortality after ICU discharge. Two hundred eighteen patients were enrolled (195 survivors, 23 non-survivors).

Results

Non-survivors presented a higher SOFA score and serum PCT, and IL-6 levels, as well as lower serum albumin and hemoglobin levels. Serum PCT, albumin, and SOFA score were associated with 90-day mortality in multiple logistic regression analysis. Hosmer-Lemeshow test showed chi-square value of 6.96, and P value of 0.54. The area under the curve (95% confidence interval) was 0.830 (0.771–0.890) for PCT, 0.688 (0.566–0.810) for albumin, 0.861 (0.796–0.927) for SOFA score, and increased to 0.913 (0.858–0.969) when these were combined. Serum PCT level at 0.57 ng/mL, serum albumin at 2.5 g/dL and SOFA score at 5.5 predict 90-day mortality, and high PCT, low albumin and high SOFA groups had significantly higher mortality. Serum PCT and SOFA score were significantly associated with survival days after ICU discharge in Cox regression analysis.

Conclusions

Serum PCT level and SOFA score at ICU discharge predict post-ICU mortality and survival days after ICU discharge. The combination of these two and albumin level might enable accurate prediction.     

血清TRAF-6、MCP-1、sTREM-1、IL-33水平与脓毒症严重程度及与合并急性肾损伤关系的临床分析

目的:探讨脓毒症患者血清肿瘤坏死因子受体相关因子(Tumor necrosis factor receptor-related factor,TRAF)-6、单核细胞趋化蛋白(Monocyte chemotactic protein,MCP)-1、可溶性髓样细胞触发受体(Soluble myeloid cell trigger receptor,s TREM)-1、白介素(Interleukin,IL)-33水平的变化及与病情严重程度及合并急性肾损伤(acute kidney injury, AKI)的相关性。方法:选择2014年2月到2018年7月在我医院ICU病房进行诊治的脓毒症患者145例,分析脓毒症相关性急性肾损伤(sepsis-associated AKI,SAKI)的发生情况,比较SAKI和非SAKI患者血清TRAF-6、MCP-1、s TREM-1、IL-33水平,采用Pearson相关分析血清TRAF-6、MCP-1、s TREM-1、IL-33含量与APACHEⅡ评分、SOFA评分的相关性,多因素logistic回归分析脓毒症患者发生SAKI的影响因素。结果:在145例患者中,发生SAKI者69例,发生率为47.6%。SAKI组患者的年龄、性别、原发病、白细胞(white blood cell,WBC)计数、C反应蛋白(C reactive protein,CRP)、降钙素原(procalcitonin,PCT)、体重指数、BUN、Scr与eGFR值与非SAKI组患者对比差异均无统计学意义(P0.05)。SAKI组患者APACHEⅡ评分、SOFA评分血清TRAF-6、MCP-1、s TREM-1、IL-33含水平含量均显著高于非SAKI组患者(P0.05)。Pearson相关性分析显示血清TRAF-6、MCP-1、s TREM-1、IL-33水平与SAKI患者的急性生理和慢性健康Ⅱ(acute physiology and chronic health evaluation II,APACHEⅡ)评分、序贯多器官功能障碍(sequential organ failure assessment,SOFA)评分均呈显著正相关性(P0.05)。logistic回归分析显示血清TRAF-6、MCP-1、s TREM-1、IL-33水平升高均为影响SAKI发生的独立危险因素(P0.05)。结论:血清TRAF-6、MCP-1、s TREM-1、IL-33水平与脓毒症严重程度显著相关,可能作为诊断和治疗SAKI的参考指标及干预靶点。     

脓毒症患者血清炎症因子与SOFA评分的关系研究

目的:探究脓毒症患者血清炎症因子与序贯器官衰竭评估(SOFA)评分的关系,从而有助于评价患者病情严重程度,科学判断预后效果。方法:选择2014年1月至2015年12月期间在本院内接受治疗的脓毒血症患者142例作为研究对象。入院后24 h内患者进行血清炎症因子IL-6、PCT、CRP水平测定,同时进行SOFA评分。按照患者在入院治疗28天内生存结局状况进行分组,分别为死亡组(87例)和存活组(55例),另按照患者合并多器官功能障碍综合症(MODS)与否,分为MODS组(76例)和非MODS组(66例),对比不同组别间IL-6、PCT、CRP及SOFA评分差别;对比不同SOFA评分患者血清IL-6、PCT、CRP水平差异,分析其相关性。结果:IL-6、PCT以及SOFA评分比较,死亡组高于存活组,MODS组高于非MODS组,差异有统计学意义(P0.05);SOFA评分越高,血清IL-6、PCT水平越高,差异有统计学意义(P0.05);SOFA评分升高,患者病死率显著增加,SOFA10分,病死率为78.3%,差异有统计学意义(P0.05);Spearman相关分析结果显示,SOFA评分与血清IL-6水平呈显著正相关关系(r=0.261,P=0.012),与血清PCT水平呈正相关关系(r=0.453,P=0.000),SOFA与CRP水平无相关性(r=0.112,P=0.323)。结论:血清IL-6、PCT水平与SOFA评分具有相关性,可以在脓毒症患者病情严重程度及预后状况判断中作为生物学指标进行常规监测。     

Differential pattern of cell-surface and soluble TREM-1 between sepsis and SIRS

ObjectiveTriggering receptor expressed on myeloid cells-1 (TREM-1) was reported to play a key roll in amplification of production of inflammatory cytokines. TREM-1 is suggested to be a specific biomarker for sepsis for this reason, but the clinical significance of TREM-1 has not been elucidated. We investigated TREM-1 expression on the cell-surface, and plasma levels of soluble TREM-1 (sTREM-1) in patients with non-infectious systemic inflammatory response syndrome (SIRS) and sepsis admitted to the ICU.MethodsThirty-five patients with SIRS and 21 patients with sepsis admitted to ICU were subjected to the study. TREM-1 expressions on the surfaces of monocytes and neutrophils were measured by flow cytometry. Plasma sTREM-1 level and serum interleukin (IL)-6 level were measured.ResultsSeptic patients had decreased TREM-1 expression, clearly on neutrophils or to a lesser extent on monocyte compared to SIRS patients on ICU admission (neutrophils p < 0.001, monocyte p < 0.05). TREM-1 expression on neutrophils had a significant inverse correlation with serum IL-6 level (r = ?0.64, p < 0.0001). Plasma sTREM-1 level in septic patients was significantly higher than that in SIRS patients (p < 0.05). Plasma sTREM-1 level positively correlated with severity score and non-survivors had increased plasma sTREM-1 level compared to survivors in all SIRS/sepsis patients (p < 0.05).ConclusionsPatients with sepsis had increased soluble TREM-1 and decreased TREM-1 expression on neutrophil compared to SIRS patients. sTREM-1 may be useful to evaluate disease severity and outcome of patients with SIRS or sepsis.     

微小RNA调控脓毒症患者外周血免疫因子表达及其机制研究

目的:探讨脓毒血症患者血清外周白细胞中的微小RNA(mi RNA)表达水平的变化及其在脓毒症患者中的表达意义以及免疫调控的关系。方法:采用流式细胞仪检测外周血CD4+CD25+Treg细胞表达,采用实时定量PCR(RT-PCR)方法检测110例脓毒症患者以及100例正常对照外周血白细胞中mi RNA以及Foxp3 m RNA表达量,酶联免疫吸附法测定TNF-α和IL-10浓度,序贯器官衰竭估计(SOFA)评分系统评价脓毒症患者的严重程度。对mi RNA与白细胞总数、TNF-α、IL-10和SOFA评分之间的相关性进行分析。结果:实验组mi RNA表达水平较对照组显著降低(P0.01),WBC、IL-10水平显著升高(P0.01)。实验组mi RNA表达水平以及SOFA评分、血清TNF-α和IL-10之间呈负相关关系(r值分别为-0.512、-0.623、-0.432,P0.05);与WBC无显著相关性(r=0.215,P0.05)。脓毒症患者外周血Treg表达率和Foxp3m RNA均显著高于对照组(P0.01);随病情严重而升高,轻、中、重度实验组间两两比较差异均有统计学意义(P0.01)。死亡均在重度脓毒症患者中,死亡组Treg、Foxp3 m RNA及IL-10均显著高于存活组(P0.01);mi RNA低于存活组(P0.01)。结论:脓毒症患者外周血的mi RNA表达量显著降低,表达水平在一定程度上可以反应机体的炎症反应情况,同时还可以判断疾病的严重度,且mi RNA参与对Treg细胞增殖的调节,在脓毒症免疫失衡机制中发挥一定的作用。     

Biomarkers of Endothelial Activation Are Associated with Poor Outcome in Critical Illness

Background

Endothelial activation plays a role in organ dysfunction in the systemic inflammatory response syndrome (SIRS). Angiopoietin-1 (Ang-1) promotes vascular quiescence while angiopoietin-2 (Ang-2) mediates microvascular leak. Circulating levels of Ang-1 and Ang-2 in patients with SIRS could provide insight on risks for organ dysfunction and death distinct from inflammatory proteins. In this study, we determined if biomarkers of endothelial activation and inflammation exhibit independent associations with poor outcomes in SIRS.

Methods

We studied 943 critically ill patients with SIRS admitted to an Intensive Care Unit (ICU) of an academic medical center. We measured plasma levels of endothelial markers (Ang-1, Ang-2, soluble vascular cell adhesion molecule-1 (sVCAM-1)) and inflammatory markers (interleukin-6 (IL-6), interleukin-8 (IL-8), granulocyte-colony stimulating factor (G-CSF), soluble tumor necrosis factor receptor-1 (sTNFR-1)) within 24 hours of enrollment. We tested for associations between each marker and 28 day mortality, shock, and day 3 sequential organ failure assessment (SOFA) score. For 28 day mortality, we performed sensitivity analysis for those subjects with sepsis and those with sterile inflammation. We used multivariate models to adjust for clinical covariates and determine if associations identified with endothelial activation markers were independent of those observed with inflammatory markers.

Results

Higher levels of all biomarkers were associated with increased 28 day mortality except levels of Ang-1 which were associated with lower mortality. After adjustment for comorbidities and sTNFR-1 concentration, a doubling of Ang-1 concentration was associated with lower 28 day mortality (Odds ratio (OR) = 0.81; p<0.01), shock (OR = 0.82; p<0.001), and SOFA score (β = -0.50; p<0.001), while Ang-2 concentration was associated with increased mortality (OR = 1.55; p<0.001), shock (OR = 1.51; p<0.001), and SOFA score (β = +0.63; p<0.001). sVCAM-1 was not independently associated with SIRS outcomes.

Conclusions

In critically ill patients with SIRS, early measurements of Ang-1 and Ang-2 are associated with death and organ dysfunction independently of simultaneously-measured markers of inflammation.     

High postoperative blood levels of macrophage migration inhibitory factor are associated with less organ dysfunction in patients after cardiac surgery

Macrophage migration inhibitory factor (MIF) is an inflammatory cytokine that exerts protective effects during myocardial ischemia/reperfusion injury. We hypothesized that elevated MIF levels in the early postoperative time course might be inversely associated with postoperative organ dysfunction as assessed by the simplified acute physiology score (SAPS) II and sequential organ failure assessment (SOFA) score in patients after cardiac surgery. A total of 52 cardiac surgical patients (mean age [± SD] 67 ± 10 years; EuroScore: 7) were enrolled in this monocenter, prospective observational study. Serum levels of MIF and clinical data were obtained after induction of anesthesia, at admission to the intensive care unit (ICU), 4 h after admission and at the first and second postoperative day. To characterize the magnitude of MIF release, we compared blood levels of samples from cardiac surgical patients with those obtained from healthy volunteers. We assessed patient outcomes using the SAPS II at postoperative d 1 and SOFA score for the first 3 d of the eventual ICU stay. Compared to healthy volunteers, patients had already exhibited elevated MIF levels prior to surgery (64 ± 50 versus 13 ± 17 ng/mL; p < 0.05). At admission to the ICU, MIF levels reached peak values (107 ± 95 ng/mL; p < 0.01 versus baseline) that decreased throughout the observation period and had already reached preoperative values 4 h later. Postoperative MIF values were inversely correlated with SAPS II and SOFA scores during the early postoperative stay. Moreover, MIF values on postoperative d 1 were related to the calculated cardiac power index (r = 0.420, p < 0.05). Elevated postoperative MIF levels are inversely correlated with organ dysfunction in patients after cardiac surgery.     

降钙素原联合SOFA评分对老年脓毒症患者预后的评估价值

目的:探讨降钙素原(procalcitonin,PCT)联合SOFA评分(sequential organ failure assessment,SOFA)对老年脓毒症患者预后的评估价值。方法:选择首都医科大学宣武医院急诊抢救室收治的105例老年脓毒症患者,入院后给予血常规、血清PCT水平、血气分析及生化全项等检查,并进行急性生理及慢性健康状况评分(acute physiology and chronic health evaluation,APACHEⅡ)和SOFA评分。根据预后将患者分成死亡组27例和存活组78例,比较两组组患者血清PCT水平、白细胞(WBC)、SOFA评分和APACHEⅡ评分,同时比较和分析APACHEⅡ评分、血清PCT水平、SOFA评分、PCT和SOFA评分联合预测患者死亡的受试者工作特征曲线(Receiver operating characteristic curve,ROC)下面积。结果:死亡组患者血清PCT水平、SOFA评分和APACHEⅡ评分均明显高于存活组(P0.05),两组WBC比较无统计学差异(P=0.132);PCT预测患者死亡的ROC曲线下面积为0.694(P=0.001),SOFA预测患者死亡的ROC曲线下面积为0.660(P=0.012),APACHE II评分预测患者死亡的ROC曲线下面积为0.852(P=0.001),大于PCT和SOFA评分(P0.05),PCT和SOFA评分联合预测患者死亡的ROC曲线下面积0.761(P=0.001),与APACHE II评分比较无统计学差异(P=0.139)。结论:血清PCT水平联合SOFA评分预测老年脓毒症患者预后的临床价值与APACHE II评分相当,均明显优于血清PCT水平和SOFA评分单项检测。     

IL-23/IL-17轴在脓毒症中的表达及意义

目的:探讨IL-23/IL-17轴在脓毒症患者中的表达及意义.方法:符合诊断标准的脓毒症患者40例,以28天预后为终点,将患者分为存活组(n=21)和病死组(n=19),分析各组病人的急性生理和慢性健康评分(APACHE)Ⅱ和序贯器官衰竭估计(SOFA)评分,同时在入ICU第1天采取外周静脉血做IL-23和IL-17检测,并对病死率和IL-23、IL-17、APACHEⅡ、SOFA做相关性分析.结果:与存活组比较,病死组患者拥有较高的APACHEⅡ和SOFA评分(P<0.01),且外周血的IL-23和IL-17蛋白含量均明显升高(P<0.05).APACHEⅡ和SOFA评分、IL-17和IL-23含量与28天预后有明显的相关性(P<0.05).结论:脓毒症Th17细胞分泌的IL-23/IL-17增加,加重患者病情,在脓毒症发病机制中可能扮演重要角色.     

IL-27 和PCT 联合检测在不同分型的脓毒症危重患者中的诊断价值

目的：探讨白细胞介素-27（Interleukin 27,IL-27）对成人全身炎症反应综合征（systemic inflammatory response syndrome, SIRS）和脓毒症的诊断价值。方法：214 例SIRS患者按入院诊断结果及感染源不同分为非脓毒症组（n＝80）、肺源性脓毒症组（n＝ 73）和非肺源性脓毒症组（n＝ 61）。采用酶联免疫吸附试验（ELISA）检测各组患者血清IL-27 和降钙素原（PCT）水平;绘制受试者 工作特征曲线（ROC）,判断各指标的诊断价值,分析各生物标志物的性能,判断潜在的预测变量。结果：肺源性脓毒症患者体温符 合SIRS 标准的比例为65.8%,明显高于非脓毒症患者（45.0%）及非肺源性脓毒症患者（45.9%）（P ＜ 0.05）;非肺源性脓毒症患者白 细胞数符合SIRS标准的比例为68.9%,明显高于非脓毒症患者42.5%,（P ＜ 0.05）。确诊脓毒症后的患者血清IL-27 的AUC 为 0.655,PCT的AUC 为0.649。根据不同感染源进一步分析,肺源性和非肺源性脓毒症患者血清IL-27 水平明显高于非脓毒症患 者,肺源性和非肺源性脓毒症患者PCT 水平明显高于非脓毒症患者（P＜0.01）。ROC曲线分析发现,肺源性和非肺源性脓毒症患 者血清IL-27 的AUC分别为0.657 和0.652,肺源性和非肺源性脓毒症患者PCT 的AUC 为0.667 和0.629。分别联合检测三组患 者的血清IL-27 和PCT值,肺源性脓毒症患者的AUC为0.728,非肺源性脓毒症患者的AUC 为0.703。对肺源性脓毒症患者与非 肺源性脓毒症患者诊断的准确性均有所提升。结论：肺源性和非肺源性脓毒症患者较非脓毒症患者更加符合SIRS 标准。IL-27 作 为脓毒症诊断的生物标志物,对病情变化的反应不敏感,而IL-27 和PCT 结合可以使诊断的准确性提高。     

RIFLE标准在高容量血液滤过治疗MODS患者疗效的评价

目的：探讨不同肾功能损害时期行高容量血液滤过（HVHF）治疗对多器官功能障碍综合征（MODS）疗效的影响。方法：采用RIFLE标准,将入选的MODS患者按急性肾损伤（AKI）分为AKIⅠ期（A组）、AKIⅡ期（B组）、AKIⅢ期（C组）,以不同AKl分期作为HYI-IF治疗的时机,对比分析不同时期行HVHF治疗MODS患者的死亡率、平均重症监护病房0CU）住院时间（T1）、平均机械通气时间（T2）、平均连续血液滤过治疗时间（T3）,并将HVHF治疗前和治疗24h后的APACHEⅡ评分、SOFA评分、血浆白介素-6（IL-6）、氧合指数、血浆肌酐（Cr）、平均动脉压-（MAP）等结果进行比较。结果：1、AKIⅢ期患者死亡率显著高于AKIⅠ期和AKIⅡ期患者（P〈0．01）;AKIⅡ期患者T1、T2和T3显著高于AKIⅠ期患者（P〈0．01）;2、与AKIⅠ期和AKIⅡ期患者比较,AKIⅢ期患者HVHF治疗前APACHEⅡ评分、SOFA评分、IL-6和Cr均显著增高（P〈0．05）;AKIⅡ期患者HVHF治疗前血浆IL-6显著高于AKIⅠ期患者（P〈0．01）;3、与HVHF治疗前比较,三组患者HVHF治疗24h后IL-6、氧合指数、cr和MAP均显著改善（P〈0．01）：AKIⅢ期患者治疗后的IL-6仍显著高于AKIⅠ期和AKIⅡ期患者;AKIⅠ期和AKIⅡ期患者HVHF治疗24h后APACHEⅡ评分SOFA评分显著降低（P〈0．01）,AKIⅢ期患者治疗前后APACHEⅡ评分和SOFA评分变化无显著统计学差异。结论：RIFLE标准及IL-6对判断预后有指导意义;AKIⅠ期和Ⅱ期行HVHF可明显改善MODS的预后,而AKIⅠ期行HVHF的疗效更好。     

The Role of Whole Blood Impedance Aggregometry and Its Utilisation in the Diagnosis and Prognosis of Patients with Systemic Inflammatory Response Syndrome and Sepsis in Acute Critical Illness

Objective

To assess the prognostic and diagnostic value of whole blood impedance aggregometry in patients with sepsis and SIRS and to compare with whole blood parameters (platelet count, haemoglobin, haematocrit and white cell count).

Methods

We performed an observational, prospective study in the acute setting. Platelet function was determined using whole blood impedance aggregometry (multiplate) on admission to the Emergency Department or Intensive Care Unit and at 6 and 24 hours post admission. Platelet count, haemoglobin, haematocrit and white cell count were also determined.

Results

106 adult patients that met SIRS and sepsis criteria were included. Platelet aggregation was significantly reduced in patients with severe sepsis/septic shock when compared to SIRS/uncomplicated sepsis (ADP: 90.7±37.6 vs 61.4±40.6; p<0.001, Arachadonic Acid 99.9±48.3 vs 66.3±50.2; p = 0.001, Collagen 102.6±33.0 vs 79.1±38.8; p = 0.001; SD ± mean)). Furthermore platelet aggregation was significantly reduced in the 28 day mortality group when compared with the survival group (Arachadonic Acid 58.8±47.7 vs 91.1±50.9; p<0.05, Collagen 36.6±36.6 vs 98.0±35.1; p = 0.001; SD ± mean)). However haemoglobin, haematocrit and platelet count were more effective at distinguishing between subgroups and were equally effective indicators of prognosis. Significant positive correlations were observed between whole blood impedance aggregometry and platelet count (ADP 0.588 p<0.0001, Arachadonic Acid 0.611 p<0.0001, Collagen 0.599 p<0.0001 (Pearson correlation)).

Conclusions

Reduced platelet aggregometry responses were not only significantly associated with morbidity and mortality in sepsis and SIRS patients, but also correlated with the different pathological groups. Whole blood aggregometry significantly correlated with platelet count, however, when we adjust for the different groups we investigated, the effect of platelet count appears to be non-significant.     

Clinical Performance of a New Soluble CD14-Subtype Immunochromatographic Test for Whole Blood Compared with Chemiluminescent Enzyme Immunoassay: Use of Quantitative Soluble CD14-Subtype Immunochromatographic Tests for the Diagnosis of Sepsis

We previously reported that a soluble CD14-subtype (sCD14-ST) immunochromatographic test (ICT) for plasma is more convenient than chemiluminescent enzyme immunoassay (CLEIA), but plasma separation makes bedside measurements difficult. We developed a new sCD14-ST ICT for whole blood and investigated whether quantitative determinations of sCD14-ST by ICT were useful for diagnosing sepsis and severe sepsis/septic shock. We studied 20 patients who fulfilled two or more systemic inflammatory response syndrome (SIRS) criteria and 32 patients who had been diagnosed with sepsis or severe sepsis/septic shock. Whole blood was collected on day 0 (on admission) and day 7, and the sCD14-ST concentration was quantitatively measured by CLEIA and ICT for whole blood. The patients’ Acute Physiology and Chronic Health Evaluation (APACHE) II, Sequential Organ Failure Assessment (SOFA), and Mortality in Emergency Department Sepsis (MEDS) scores were also calculated. The cut-off values obtained by the quantitative measurements made by ICT were 464.5 pg/mL for sepsis and 762.7 pg/mL for severe sepsis/septic shock (P < 0.0001). A Bland–Altman plot showed that no fixed bias or proportional bias was detected between CLEIA and quantitative ICT for whole blood. sCD14-ST concentrations were significantly correlated with APACHE II, SOFA, and MEDS scores (P < 0.0001). These results suggest that the new sCD14-ST ICT for whole blood may be a useful tool for the convenient, rapid bedside diagnosis and treatment of sepsis.     

C-Reactive Protein and Hemogram Parameters for the Non-Sepsis Systemic Inflammatory Response Syndrome and Sepsis: What Do They Mean?

Objectives

Sepsis is one of the most common reasons of increased mortality and morbidity in the intensive care unit. The changes in CRP levels and hemogram parameters and their combinations may help to distinguish sepsis from non-sepsis SIRS. The aim of this study is to investigate the CRP and hemogram parameters as an indicator of sepsis.

Methods

A total of 2777 patients admitted to the ICU of two centers between 2006–2013 were evaluated retrospectively. The patients were diagnosed as SIRS (-), non-sepsis SIRS and sepsis. The patients who were under 18 years old, re-admitted, diagnosed with hematological disease, on corticosteroid and immunosuppressive therapy, SIRS (-), culture negative, undocumented laboratory values and outcomes were excluded. 1257 patients were divided into 2 groups as non-sepsis SIRS and sepsis. The patients’ demographic data, CRP levels, hemogram parameters, length of ICU stay and mortality were recorded.

Results

1257 patients were categorized as non-sepsis SIRS (816, 64.9%) and sepsis (441, 35.1%). In the multivariate analysis, the likelihood of sepsis was increased 3.2 (2.2–4.6), 1.7 (1.2–2.4), 1.6 (1.2–2.1), 2.3 (1.4–3.8), 1.5 (1.1–2.1) times by the APACHE II≥13, SOFA score≥4, CRP≥4.0, Lym_C<0.45 and PLT_C<150 respectively (p<0.001 p = 0.007 p = 0.004 p<0.001 p = 0.027). The likelihood of sepsis was increased 18.1 (8.4–38.7) times by the combination of CRP≥4.0, lym_C<0.45 and PLT_C<150 (P<0.001).

Conclusions

While WBC_C, Neu_C, Neu%, NLCR and Eo_C are far from being the indicators to distinguish sepsis from non-sepsis SIRS, the combinations of CRP, Lym_C and PLT_C can be used to determine the likelihood of sepsis.     

Prognostic value of cytokines in SIRS general medical patients

We studied 174 patients with SIRS criteria, 45 with sepsis, eight with severe sepsis and 13 with septic shock. Serum TNF-alpha, IL-6, IL-8 and IL-10 levels were raised in SIRS patients, even in those cases in which an infection could not be documented, and more intensely in severe sepsis and in patients who died (11%). The slope of the regression line between IL-10 and TNF-alpha was sharper in patients with severe sepsis and in those who died; an imbalance between pro- and anti-inflammatory cytokines may be related to poor prognosis. Increased IL-6 and IL-10, decreased muscle mass, raised BUN and low body temperature were all independently related to prognosis.     

Severity of oxidative stress and inflammatory activation in end-stage heart failure patients are unaltered after 1 month of left ventricular mechanical assistance

This study investigates the impact of early left ventricular (LV)-mechanical unloading on systemic oxidative stress and inflammation in terminal heart failure patients and their impact both on multi organ failure and on intensive care unit (ICU) stay. Circulating levels of urinary 15-isoprostane-F(2t) (8-epi-PGF2(α)) and pro-inflammatory markers [plasma interleukin (IL)-6, IL-8, and urinary neopterin, a monocyte activation index] were analyzed in 20 healthy subjects, 22 stable end-stage heart failure (ESHF) patients and in 23 LV assist device (LVAD) recipients at pre-implant and during first post-LVAD (PL) month. Multi-organ function was evaluated by total Sequential Organ Failure Assessment (tSOFA) score. In LVAD recipients the levels of oxidative-inflammatory markers and tSOFA score were higher compared to other groups. After device implantation 8-epi-PGF2(α) levels were unchanged, while IL-6, and IL-8 levels increased during first week, and at 1month returned to pre-implant values, while neopterin levels increased progressively during LVAD support. The tSOFA score worsened at 1 PL-week with respect to pre-implant value, but improved at 1 PL-month. The tSOFA score related with IL-6 and IL-8 levels, while length of ICU stay related with pre-implant IL-6 levels. These data suggest that hemodynamic instability in terminal HF is associated to worsening of systemic inflammatory and oxidative milieu that do not improve in the early phase of hemodynamic recovery and LV-unloading by LVAD, affecting multi-organ function and length of ICU stay. This data stimulate to evaluate the impact of inflammatory signals on long-term outcome of mechanical circulatory support.     

Early diagnostic markers of sepsis after oesophagectomy (including thromboelastography)

Background

Early diagnosis of sepsis and its differentiation from the noninfective SIRS is very important in order that treatment can be initiated in a timely and appropriate way. In this study we investigated standard haematological and biochemical parameters and thromboelastography (TEG) in patients who had undergone surgical resection of the oesophagus to find out if changes in any of these parameters could help in early differentiation between SIRS and sepsis development.

Methods

We enrolled 43 patients (aged 41?C74?years) of whom 38 were evaluable. Blood samples were obtained on the morning of surgery and then at 24-hour intervals for the next 6?days. Samples were analysed for procalcitonin (PCT), C-reactive protein (CRP), interleukin-6 (IL- 6), aspartate transaminase (AST), alanine transaminase (ALT) , lactate, white blood count (WBC), D-dimers, antithrombin (AT), international normalised ratio (INR), activated partial thromboplastin time (APTT) and parameters of TEG.

Results

Significant differences between patients who developed sepsis during this period (9 patients) and SIRS were found in ALT on Day 1, in AST on Days 1?C4, in PCT on Days 2?C6; in CRP on Days 3?C6; in IL-6 on Days 2?C5; in leucocytes on Days 2, 3 and 6; and in D-dimers on Days 2 and 4. Significance values ranged from p?Conclusions Sequential measurements of ALT, AST, PCT and IL-6 during the early postoperative period can be used for early differentiation of sepsis and postoperative SIRS after oesophagectomy. Among the coagulation parameters measured, only D-dimer concentrations appeared to be helpful in this process. TEG does not seem to be a useful early predictor of sepsis development; however it can be used to differentiate sepsis and SIRS from Day 5 after surgery.     

Plasma pro- and anti-inflammatory cytokine levels and outcome prediction in unselected critically ill patients

Purpose. To determine the inter-relationships between cytokine levels and physiological scores in predicting outcome in unselected, critically ill patients. Methods. To this end, 127 patients (96 men), having a mean ± SD age of 45 ± 20 years, with a wide range in admission diagnoses (medical, surgical, and multiple trauma patients) were prospectively investigated. Severity of critical illness and organ dysfunction were graded by acute physiology and chronic health evaluation (APACHE II) and sequential organ failure assessment (SOFA) scores, respectively. Blood samples were drawn on admission in the ICU to determine pro- and anti-inflammatory cytokines, including tumor necrosis factor (TNF)-α, interleukin (IL)-6, IL-8, and IL-10. The main outcome measure was 28-day mortality. Results. Overall, 88 patients survived and 39 patients died. Univariate logistic regression analysis showed that SOFA, APACHE II, IL-8, IL-6, and IL-10 on admission in the ICU were related to mortality. Multiple logistic regression analysis in the entire cohort of critically ill patients revealed that SOFA (OR = 1.341, p < 0.001) and IL-6 (OR = 1.075, p = 0.01) constituted independent outcome predictors. receiver operator characteristics curve analysis showed that SOFA, APACHE II, and IL-6 had the highest area under the curve values. IL-6 correlated with APACHE II (r_s = 0.44, p < 0.0001) and SOFA (r_s = 0.40, p < 0.0001) scores. Conclusions. In mixed ICU patients cytokine concentrations on admission in the ICU represent independent outcome predictors in the presence of disease severity scores.     

Prognosis Biomarkers of Severe Sepsis and Septic Shock by 1H NMR Urine Metabolomics in the Intensive Care Unit

Early diagnosis and patient stratification may improve sepsis outcome by a timely start of the proper specific treatment. We aimed to identify metabolomic biomarkers of sepsis in urine by ¹H-NMR spectroscopy to assess the severity and to predict outcomes. Urine samples were collected from 64 patients with severe sepsis or septic shock in the ICU for a ¹H NMR spectra acquisition. A supervised analysis was performed on the processed spectra, and a predictive model for prognosis (30-days mortality/survival) of sepsis was constructed using partial least-squares discriminant analysis (PLS-DA). In addition, we compared the prediction power of metabolomics data respect the Sequential Organ Failure Assessment (SOFA) score. Supervised multivariate analysis afforded a good predictive model to distinguish the patient groups and detect specific metabolic patterns. Negative prognosis patients presented higher values of ethanol, glucose and hippurate, and on the contrary, lower levels of methionine, glutamine, arginine and phenylalanine. These metabolites could be part of a composite biopattern of the human metabolic response to sepsis shock and its mortality in ICU patients. The internal cross-validation showed robustness of the metabolic predictive model obtained and a better predictive ability in comparison with SOFA values. Our results indicate that NMR metabolic profiling might be helpful for determining the metabolomic phenotype of worst-prognosis septic patients in an early stage. A predictive model for the evolution of septic patients using these metabolites was able to classify cases with more sensitivity and specificity than the well-established organ dysfunction score SOFA.     

The Cold-Inducible RNA-Binding Protein (CIRP) Level in Peripheral Blood Predicts Sepsis Outcome

Objectives

Sepsis is a lethal and complex clinical syndrome caused by infection or suspected infection. Cold-inducible RNA-binding protein (CIRP) is a widely distributed cold-shock protein that plays a proinflammatory role in sepsis and that may induce organ damage. However, clinical studies regarding the use of CIRP for the prognostic evaluation of sepsis are lacking. The purpose of this research was to investigate the prognostic significance of peripheral blood concentrations of CIRP in sepsis. Sepsis was assessed using several common measures, including the Acute Physiology and Chronic Health Evaluation II (APACHE II) score; the Sepsis-related Organ Failure Assessment (SOFA) score; the lactate, serum creatinine, and procalcitonin (PCT) levels; the white blood cell (WBC) count; and the neutrophil ratio (N%).

Design

Sixty-nine adult patients with sepsis were enrolled in this study. According to the mortality data from the hospital, 38 patients were survivors, and 31 were nonsurvivors. The plasma levels of the biomarkers were measured and the APACHE II and SOFA scores were calculated within 24 hours of patient enrollment into our study. The CIRP level was measured via ELISA.

Results

The plasma level of CIRP was significantly higher in the nonsurvivors than in the survivors (median (IQR) 4.99 (2.37–30.17) ng/mL and 1.68 (1.41–13.90) ng/mL, respectively; p = 0.013). The correlations of the CIRP level with the APACHE II score (r = 0.248, p = 0.040, n = 69), the SOFA score (r = 0.323, p = 0.007, n = 69), the serum creatinine level (r = 0.316, p = 0.008, n = 69), and the PCT level (r = 0.282, p = 0.019, n = 69) were significant. Receiver operator characteristic (ROC) curve analysis showed that the area under the ROC curve (AUC) for the CIRP level was 0.674 (p = 0.013). According to Cox proportional hazards models, the CIRP level independently predicts sepsis mortality. When the CIRP level in the peripheral blood increased by 10 ng/mL, the mortality risk increased by 1.05-fold (p = 0.012). Thus, the CIRP level reflects the degree of renal injury but does not predict the severity of sepsis or organ damage.

Conclusion

An elevated plasma concentration of CIRP was significantly associated with poor prognosis among patients with sepsis. Therefore, CIRP is a potential predictor of sepsis prognosis.