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Background: Little is known about differences in patient characteristics before and after implementation of the new definition of sepsis (Sepsis-3) and whether the new definition is affecting clinical practice in intensive care units., Objective: To examine and compare the clinicoepidemiologic characteristics of patients with sepsis or septic shock before and after implementation of Sepsis-3., Methods: In this population-based cohort study, a nationwide registration database in South Korea was used to identify patients with sepsis or septic shock. Patients admitted to hospitals from 2012 to 2015 constituted the Sepsis-2 group, and patients admitted from 2017 to 2020 constituted the Sepsis-3 group., Results: The study involved 443 217 patients, of whom 170 660 (38.5%) were in the Sepsis-2 group and 272 557 (61.5%) were in the Sepsis-3 group. The mean (SD) age was 73.3 (14.5) years in the Sepsis-2 group and 75.5 (14.5) years in the Sepsis-3 group. The intensive care unit admission rate was higher in the Sepsis-2 group (34.6%, 59 081 of 170 660) than in the Sepsis-3 group (21.3%, 57 997 of 272 557). Multivariable Cox regression analysis showed that 1-year all-cause mortality was 21% lower in the Sepsis-3 group than in the Sepsis-2 group (hazard ratio, 0.79; 95% CI, 0.78-0.79; P < .001)., Conclusions: Implementation of the Sepsis-3 definition was associated with an increased number of patients with sepsis. Other findings suggested that patients in the Sepsis-2 group had more severe illness, with increased 1-year all-cause mortality, compared with those in the Sepsis-3 group., (©2024 American Association of Critical-Care Nurses.)

Background: Sepsis poses a grave threat, especially among children, but treatments are limited owing to heterogeneity among patients. We sought to test the clinical and biological relevance of pediatric septic shock subclasses identified using reproducible approaches., Methods: We performed latent profile analyses using clinical, laboratory, and biomarker data from a prospective multi-center pediatric septic shock observational cohort to derive phenotypes and trained a support vector machine model to assign phenotypes in an internal validation set. We established the clinical relevance of phenotypes and tested for their interaction with common sepsis treatments on patient outcomes. We conducted transcriptomic analyses to delineate phenotype-specific biology and inferred underlying cell subpopulations. Finally, we compared whether latent profile phenotypes overlapped with established gene-expression endotypes and compared survival among patients based on an integrated subclassification scheme., Results: Among 1071 pediatric septic shock patients requiring vasoactive support on day 1 included, we identified two phenotypes which we designated as Phenotype 1 (19.5%) and Phenotype 2 (80.5%). Membership in Phenotype 1 was associated with ~ fourfold adjusted odds of complicated course relative to Phenotype 2. Patients belonging to Phenotype 1 were characterized by relatively higher Angiopoietin-2/Tie-2 ratio, Angiopoietin-2, soluble thrombomodulin (sTM), interleukin 8 (IL-8), and intercellular adhesion molecule 1 (ICAM-1) and lower Tie-2 and Angiopoietin-1 concentrations compared to Phenotype 2. We did not identify significant interactions between phenotypes, common treatments, and clinical outcomes. Transcriptomic analysis revealed overexpression of genes implicated in the innate immune response and driven primarily by developing neutrophils among patients designated as Phenotype 1. There was no statistically significant overlap between established gene-expression endotypes, reflective of the host adaptive response, and the newly derived phenotypes, reflective of the host innate response including microvascular endothelial dysfunction. However, an integrated subclassification scheme demonstrated varying survival probabilities when comparing patient endophenotypes., Conclusions: Our research underscores the reproducibility of latent profile analyses to identify pediatric septic shock phenotypes with high prognostic relevance. Pending validation, an integrated subclassification scheme, reflective of the different facets of the host response, holds promise to inform targeted intervention among those critically ill., (© 2024. The Author(s).)

Background: The Sequential Organ Failure Assessment (SOFA) score is an important tool in diagnosing sepsis and quantifying organ dysfunction. However, despite emerging evidence of differences in sepsis pathophysiology between women and men, sex is currently not being considered in the SOFA score. We aimed to investigate potential sex-specific differences in organ dysfunction, as measured by the SOFA score, in patients with sepsis or septic shock and explore outcome associations., Methods: Retrospective analysis of sex-specific differences in the SOFA score of prospectively enrolled ICU patients with sepsis or septic shock admitted to one of 85 certified Swiss ICUs between 01/2021 and 12/2022., Results: Of 125,782 patients, 5947 (5%) were admitted with a clinical diagnosis of sepsis (2244, 38%) or septic shock (3703, 62%). Of these, 5078 (37% women) were eligible for analysis. A statistically significant difference of the total SOFA score on admission was found between women (mean 7.5 ± SD 3.6 points) and men (7.8 ± 3.6 points, Wilcoxon rank-sum p < 0.001). This was driven by differences in the coagulation (p = 0.008), liver (p < 0.001) and renal (p < 0.001) SOFA components. Differences between sexes were more prominent in younger patients < 52 years of age (women 7.1 ± 4.0 points vs men 8.1 ± 4.2 points, p = 0.004). No sex-specific differences were found in ICU length of stay (women median 2.6 days (IQR 1.3-5.3) vs men 2.7 days (IQR 1.2-6.0), p = 0.13) and ICU mortality (women 14% vs men 15%, p = 0.17)., Conclusion: Sex-specific differences exist in the SOFA score of patients admitted to a Swiss ICU with sepsis or septic shock, particularly in laboratory-based components. Although the clinical meaningfulness of these differences is unclear, a reevaluation of sex-specific thresholds for SOFA score components is warranted in an attempt to make more accurate and individualised classifications., (© 2024. The Author(s).)

Background: Septic shock comprises a heterogeneous population, and individualized resuscitation strategy is of vital importance. The study aimed to identify subclasses of septic shock with non-supervised learning algorithms, so as to tailor resuscitation strategy for each class., Methods: Patients with septic shock in 25 tertiary care teaching hospitals in China from January 2016 to December 2017 were enrolled in the study. Clinical and laboratory variables were collected on days 0, 1, 2, 3 and 7 after ICU admission. Subclasses of septic shock were identified by both finite mixture modeling and K-means clustering. Individualized fluid volume and norepinephrine dose were estimated using dynamic treatment regime (DTR) model to optimize the final mortality outcome. DTR models were validated in the eICU Collaborative Research Database (eICU-CRD) dataset., Results: A total of 1437 patients with a mortality rate of 29% were included for analysis. The finite mixture modeling and K-means clustering robustly identified five classes of septic shock. Class 1 (baseline class) accounted for the majority of patients over all days; class 2 (critical class) had the highest severity of illness; class 3 (renal dysfunction) was characterized by renal dysfunction; class 4 (respiratory failure class) was characterized by respiratory failure; and class 5 (mild class) was characterized by the lowest mortality rate (21%). The optimal fluid infusion followed the resuscitation/de-resuscitation phases with initial large volume infusion and late restricted volume infusion. While class 1 transitioned to de-resuscitation phase on day 3, class 3 transitioned on day 1. Classes 1 and 3 might benefit from early use of norepinephrine, and class 2 can benefit from delayed use of norepinephrine while waiting for adequate fluid infusion., Conclusions: Septic shock comprises a heterogeneous population that can be robustly classified into five phenotypes. These classes can be easily identified with routine clinical variables and can help to tailor resuscitation strategy in the context of precise medicine., (© 2021. The Author(s).)

Sepsis is defined as a dysregulated host response to infection that leads to life-threatening acute organ dysfunction. It afflicts approximately 50 million people worldwide annually and is often deadly, even when evidence-based guidelines are applied promptly. Many randomized trials tested therapies for sepsis over the past 2 decades, but most have not proven beneficial. This may be because sepsis is a heterogeneous syndrome, characterized by a vast set of clinical and biologic features. Combinations of these features, however, may identify previously unrecognized groups, or "subclasses" with different risks of outcome and response to a given treatment. As efforts to identify sepsis subclasses become more common, many unanswered questions and challenges arise. These include: 1) the semantic underpinning of sepsis subclasses, 2) the conceptual goal of subclasses, 3) considerations about study design, data sources, and statistical methods, 4) the role of emerging data types, and 5) how to determine whether subclasses represent "truth." We discuss these challenges and present a framework for the broader study of sepsis subclasses. This framework is intended to aid in the understanding and interpretation of sepsis subclasses, provide a mechanism for explaining subclasses generated by different methodologic approaches, and guide clinicians in how to consider subclasses in bedside care., Competing Interests: Dr. DeMerle’s institution received funding from R35 GM119519-03 and T32HL007820. Dr. Calfee is supported in part by grants from the National Institutes of Health (NIH; HL140026). Dr. Carcillo is supported in part by grants from the National Institutes of Health (R01GM108618). Dr. DeMerle is supported in part by grants from the National Institutes of Health (T32HL007820). Dr. Angus received funding from Ferring Pharmaceuticals, Bristol-Myers Squibb, Bayer AG, and Alung Technologies. Drs. Angus, Brant, Carcillo, Chang, Dickson, Kennedy, Lindsell, Liu, Randolph, Thompson, Tsalik, Wong, and Seymour received support for article research from the NIH. Dr. Baillie received support for article research from Wellcome Trust/Charity Open Access Fund (COAF), and Research Councils UK. Dr. Calfee’s institution received funding from Roche/Genentech and Bayer, and she received funding from Roche/Genentech, Quark, CSL Behring, Bayer, Gen1e Life Sciences, and Vasomune. Drs. Carcillo’s and Seymour’s institutions received funding from the National Institute of General Medical Sciences. Drs. Chang’s, Lindsell’s, Liu’s, Randolph’s, Shapiro’s, and Wong’s institutions received funding from the NIH. Dr. Gordon’s institution received funding from the National Institute for Health Research (NIHR) Research Professorship (RP-2015-06-18), NIHR Imperial Biomedical Research Centre, GlaxoSmithKline, and Bristol Myers Squibb. Dr. Knight received support for article research from Wellcome Trust/COAF. Dr. Lindsell’s institution received funding from the Centers for Disease Control and Prevention (CDC), Department of Defense, Marcus Foundation, Entegrion, Endpoint Health, and bioMerieux, and he disclosed he is a coinventor on patents related to risk stratification in septic shock. Dr. Marshall received funding from AM Pharma, AKPA Pharma, and the Society of Critical Care Medicine (Critical Care Medicine Associate Editor). Dr. Randolph’s institution received funding from the CDC, and she received funding from La Jolla Pharma. Dr. Shapiro’s institution received funding from rapid pathogen screening, Baxter, and Inflammatix, and he received funding from Diagnostic Robotics. Dr. Sweeney received funding from Inflammatix. Dr. Thompson’s institution received funding from the National Heart, Lung, and Blood Institute, and he received funding from Bayer and Thetis. Dr. Tsalik disclosed that he is a founder and holds equity in Predigen; he receives salary support from the Durham VA Healthcare System and Duke University; and he has received salary support and/or grant funding (paid to his university) from the NIH, DARPA, DTRA, Karius, and Sanofi US. Dr. Wong disclosed that he and his institutions hold U.S. patents for sepsis biomarkers. Dr. Yende received funding from serving as consultant for expert testimony and he disclosed government work. Dr. Knight is supported by a Wellcome Trust Investigator Award (204969/Z/16/Z) and the NIHR Oxford Biomedical Research Centre. Dr. Lindsell was supported in part by grants from the National Institutes of Health (R35GM126943, R01HL149422), a research grant to VUMC from Endpoint Health, and is also listed as co-inventor on patents for endotyping and risk-stratification in pediatric septic shock. Dr. Liu is supported in part by grants from the National Institutes of Health (R35GM128672). Dr. Marshall is supported in part by grants from the Canadian Institutes of Health Research. Dr. Randolph is supported in part by grants from the National Institutes of Health (R21HD095228). Dr. Shankar-Hari is supported by the National Institute for Health Research Clinician Scientist Award (CS-2016-16-011). Dr. Wong is supported in part by grants from the National Institutes of Health (R35 GM126943). Dr. Sweeney is an employee of, and shareholder in, Inflammatix. The remaining authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.)

Objectives: Assess the impact of heterogeneity among established sepsis criteria (Sepsis-1, Sepsis-3, Centers for Disease Control and Prevention Adult Sepsis Event, and Centers for Medicare and Medicaid severe sepsis core measure 1) through the comparison of corresponding sepsis cohorts., Design: Retrospective analysis of data extracted from electronic health record., Setting: Single, tertiary-care center in St. Louis, MO., Patients: Adult, nonsurgical inpatients admitted between January 1, 2012, and January 6, 2018., Interventions: None., Measurements and Main Results: In the electronic health record data, 286,759 encounters met inclusion criteria across the study period. Application of established sepsis criteria yielded cohorts varying in prevalence: Centers for Disease Control and Prevention Adult Sepsis Event (4.4%), Centers for Medicare and Medicaid severe sepsis core measure 1 (4.8%), International Classification of Disease code (7.2%), Sepsis-3 (7.5%), and Sepsis-1 (11.3%). Between the two modern established criteria, Sepsis-3 (n = 21,550) and Centers for Disease Control and Prevention Adult Sepsis Event (n = 12,494), the size of the overlap was 7,763. The sepsis cohorts also varied in time from admission to sepsis onset (hr): Sepsis-1 (2.9), Sepsis-3 (4.1), Centers for Disease Control and Prevention Adult Sepsis Event (4.6), and Centers for Medicare and Medicaid severe sepsis core measure 1 (7.6); sepsis discharge International Classification of Disease code rate: Sepsis-1 (37.4%), Sepsis-3 (40.1%), Centers for Medicare and Medicaid severe sepsis core measure 1 (48.5%), and Centers for Disease Control and Prevention Adult Sepsis Event (54.5%); and inhospital mortality rate: Sepsis-1 (13.6%), Sepsis-3 (18.8%), International Classification of Disease code (20.4%), Centers for Medicare and Medicaid severe sepsis core measure 1 (22.5%), and Centers for Disease Control and Prevention Adult Sepsis Event (24.1%)., Conclusions: The application of commonly used sepsis definitions on a single population produced sepsis cohorts with low agreement, significantly different baseline demographics, and clinical outcomes., Competing Interests: Dr. Michelson received funding as a shareholder of Pfizer. Dr. Lai received funding as a shareholder of Altria Group, Apple, Berkshire Hathaway, Barnes Group, Carnival Corp, Citigroup, Johnson & Johnson, Verizon Communications, Walt Disney, Royal Caribbean Cruises, Caterpillar, McDonald’s Corp, Ubiquiti, Westinghouse Air Brake Technologies, and Yum! Brands. The remaining authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.)

Introduction: In 2016, a new definition of sepsis and septic shock was adopted. Some studies based on the general population demonstrated that the Sequential Organ Failure Assessment (SOFA) score is more accurate than the systemic inflammatory response syndrome (SIRS) criteria to predict hospital mortality of infected patients requiring intensive care., Patients and Method: We have analyzed all the records of patients with cancer admitted for a suspected infection between January 1, 2013, and December 31, 2016, in our oncological intensive care unit (ICU). Sequential Organ Failure Assessment score and quick SOFA (qSOFA) score as well as SIRS criteria were calculated. We analyzed the accuracy of each score to predict hospital mortality in the setting of the new and old definitions of septic shock., Results: Our study includes 241 patients with a solid tumor and 112 with a hematological malignancy. The hospital mortality rate is 37% (68% in patients with septic shock according to the new definition and 60% according to old definition) between 2013 and 2016. To predict hospital mortality, the SOFA score has an area under the receiver operating characteristic curve of 0.74 (95% confidence interval [CI], 0.68-0.79), the qSOFA of 0.65 (95% CI, 0.59-0.70), and the SIRS criteria of 0.58 (95% CI, 0.52-0.63). In multivariate analysis, a higher SOFA score or a higher qSOFA score indicates poor prognosis: odds ratio (OR) per 1-point increase by 1.28 (95% CI, 1.18-1.39) and 1.48 (95% CI, 1.04-2.11), respectively. Complete remission is a good prognostic factor for hospital mortality: OR 0.39 (95% CI, 0.22-0.67)., Conclusion: The new definition of sepsis and septic shock is applicable in an ICU oncological population with the same reliability as in the general population. The SOFA score is more accurate than qSOFA and SIRS criteria to predict hospital mortality.

Background: We evaluated the characteristics and outcomes of culture-negative versus culture-positive septic shock., Methods: We performed a retrospective observational study of data from a prospective registry from 2014 to 2018. A total of 2,499 adult patients with septic shock were enrolled. The primary outcome was 90-day mortality, and the secondary outcomes were the length of hospital stay, a requirement for mechanical ventilation or renal replacement therapy, and in-hospital mortality., Results: Of 1,718 patients with septic shock, 1,012 (58.9%) patients were culture-positive (blood 803, urine 302, sputum 102, others 204) and the median pathogen detection time was 9.5 h (aerobic 10.2 h and anaerobic 9.0 h). The most common site of culture-positive infection was the hepatobiliary tract (39.5%), while for the culture-negative it was the lower respiratory tract (38.2%). The culture-negative group had a lower mean body temperature (37.3 vs 37.7 ℃), lactate (2.5 vs. 3.2 mmol/L), C-reactive protein (11.1 vs 11.9 mg/dL), and sequential organ failure assessment score (7.0 vs. 8.0) than that of the culture-positive group. However, 90-day mortality between the groups was not significantly different (32.7 vs 32.2%, p = 0.83), and the other clinical outcomes also did not differ significantly. Moreover, a shorter culture detection time was correlated with a higher sequential organ failure assessment score but not with mortality., Conclusion: Patients with septic shock are frequently culture-negative, especially in cases where the infection focus is in the lower respiratory tract. Although culture-negative was associated with a degree of organ dysfunction, it was not an independent predictor of death.

The complexity of sepsis pathophysiology hinders patient management and therapeutic decisions. In this proof-of-concept study we characterised the underlying host immune response alterations using a standardised immune functional assay (IFA) in order to stratify a sepsis population. In septic shock patients, ex vivo LPS and SEB stimulations modulated, respectively, 5.3% (1/19) and 57.1% (12/21) of the pathways modulated in healthy volunteers (HV), highlighting deeper alterations induced by LPS than by SEB. SEB-based clustering, identified 3 severity-based groups of septic patients significantly different regarding mHLA-DR expression and TNFα level post-LPS, as well as 28-day mortality, and nosocomial infections. Combining the results from two independent cohorts gathering 20 HV and 60 patients, 1 cluster grouped all HV with 12% of patients. The second cluster grouped 42% of patients and contained all non-survivors. The third cluster grouped 46% of patients, including 78% of those with nosocomial infections. The molecular features of these clusters indicated a distinctive contribution of previously described genes defining a "healthy-immune response" and a "sepsis-related host response". The third cluster was characterised by potential immune recovery that underlines the possible added value of SEB-based IFA to capture the sepsis immune response and contribute to personalised management.

Introduction: The evaluation of the functional status of blood vessels, especially the arterial system, plays a very important role in the judgment of the condition of septic shock patients and the guidance of resuscitation programs and the judgment of the therapeutic effect. We aimed to design an observational study protocol to explore the correlation of peripheral arterial pulse/resistance index, organ function and inflammation in patients with septic shock., Methods and Analysis: A total of 60 patients with septic shock in the Affiliated Hospital of Southwest Medical University from June 2020 to September 2020 and 20 healthy volunteers will be enrolled. Total of 60 patients with septic shock will be randomly divided into 20 groups by lot method. Group 1: fluid resuscitation; Group 2: fluid resuscitation + norepinephrine; Group 3: fluid resuscitation + norepinephrine + ulinastatin; Group 4: healthy control group. Fluid resuscitation is an early goal-directed fluid resuscitation in which norepinephrine is adjusted by a senior intensive care unit specialist for clinical presentation and ulinastatin is pumped at 20,000 U/h. Index including vascular ultrasound, inflammatory factors, organ function will be collected and analyzed., Discussion: Existing studies on septic shock focus on hemodynamics of the heart, brain, and kidney, while the differences in blood flow between peripheral blood vessels and protective renal vessels may be consistent, and imaging analysis is still lacking. This study protocol aims to explore the correlation of peripheral arterial pulsation index/resistance index, organ function, and inflammation in patients with septic shock., Trial Registration: Chinese Clinical trial registry: ChiCTR2000031565.

This study aimed to identify septic phenotypes in patients receiving vitamin C, hydrocortisone, and thiamine using temperature and white blood cell count. Data were obtained from septic shock patients who were also treated using a vitamin C protocol in a medical intensive care unit. Patients were divided into groups according to the temperature measurements as well as white blood cell counts within 24 h before starting the vitamin C protocol. In the study, 127 patients included who met the inclusion criteria. In the cohort, four groups were identified: "Temperature ≥37.1 °C, white blood cell count ≥15.0 1000/mm 3 " (group A; n = 27), "≥37.1 °C, <15.0 1000/mm 3 " (group B; n = 30), "<37.1 °C, ≥15.0 1000/mm 3 " (group C; n = 35) and "<37.1 °C, <15.0 1000/mm 3 " (group D; n = 35). The intensive care unit mortality rates were 15% for group A, 33% for group B, 34% for group C, and 49% for group D ( p = 0.051). The temporal improvement in organ dysfunction and vasopressor dose seemed more apparent in group A patients. Our results suggest that different subphenotypes exist among sepsis patients treated using a vitamin C protocol, and clinical outcomes might be better for patients with the hyperinflammatory subphenotype.

Background: An accurate disease severity score that can quickly predict the prognosis of patients with sepsis in the emergency department (ED) can aid clinicians in distributing resources appropriately or making decisions for active resuscitation measures. This study aimed to compare the prognostic performance of quick sequential organ failure assessment (qSOFA) with that of other disease severity scores in patients with septic shock presenting to an ED., Methods: We performed a prospective, observational, registry-based study. The discriminative ability of each disease severity score to predict 28-day mortality was evaluated in the overall cohort (which included patients who fulfilled previously defined criteria for septic shock), the newly defined sepsis subgroup, and the newly defined septic shock subgroup., Results: A total of 991 patients were included. All disease severity scores had poor discriminative ability for 28-day mortality. The sequential organ failure assessment and acute physiology and chronic health evaluation II scores had the highest area under the receiver-operating characteristic curve (AUC) values, which were significantly higher than the AUC values of other disease severity scores in the overall cohort and the sepsis and septic shock subgroups. The discriminative ability of each disease severity score decreased as the mortality rate of each subgroup increased., Conclusions: All disease severity scores, including qSOFA, did not display good discrimination for 28-day mortality in patients with serious infection and refractory hypotension or hypoperfusion; additionally, none of the included scoring tools in this study could consistently predict 28-day mortality in the newly defined sepsis and septic shock subgroups., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Purpose: The newly proposed septic shock definition has provoked a substantial controversy in the emergency and critical care communities. We aim to compare new (SEPSIS-III) versus old (SEPSIS-II) definitions for septic shock in a contemporary cohort of critically ill patients., Material and Methods: Retrospective cohort of consecutive patients, age ≥ 18 years admitted to intensive care units at the Mayo Clinic between January 2009 and October 2015. We compared patients who met old, new, both, or neither definition of sepsis shock. SMR were calculated using APACHE IV predicted mortality., Results: The initial cohort consisted of 16,720 patients who had suspicion of infection, 7463 required vasopressor support. The median (IQR) age was 65(54-75) years and 4167(55.8%) were male. Compared to patients with old definition, the patients with new definition had higher APACHE III score (median IQR); (73 (57-92) vs. 70 (56-89), p < .01); SOFA score; (6 (4-10) vs. 6 (4-9), p < .01), were older (70 (59-79) vs. 64 (54-74) years, p = .03). They also had higher hospital mortality, N (%) 71, (19.7%) vs. 40 (12.6%), p < .01) and a higher SMR (0.66 vs. 0.45, p < .01)., Conclusions: Compared to SEPSIS-II, SEPSIS-III definition of septic shock identifies patients further along disease trajectory with higher likelihood of poor outcome., (Copyright © 2019. Published by Elsevier Inc.)

Innovative single cell technologies such as mass cytometry (CyTOF) widen possibilities to deeply improve characterisation of immune alterations mechanisms in human diseases. So far, CyTOF has not been used in sepsis - a condition characterized by complex immune disorders. Here, we evaluated feasibility of CyTOF analysis in patients with septic shock. We designed a mass cytometry panel of 25 extracellular markers to study mononuclear cells from 5 septic shock patients and 5 healthy donors. We explored single-cell data with global and specific unsupervised approaches such as heatmaps, SPADE and viSNE. We first validated relevance of our CyTOF results by highlighting established immune hallmarks of sepsis, such as decreased monocyte HLA-DR expression and increased expressions of PD1 and PD-L1 on CD4 T cells and monocytes. We then showed that CyTOF analysis reveals novel aspects of sepsis-induced immune alterations, e.g. B cell shift towards plasma cell differentiation and uniform response of several monocyte markers defining an immune signature in septic patients. This proof of concept study demonstrates CyTOF suitability to analyse immune features of septic patients. Mass cytometry could thus represent a powerful tool to identify novel pathophysiological mechanisms and therapeutic targets for immunotherapy in septic shock patients.

Purpose: Septic shock is a highly heterogeneous condition which is part of the challenge in its diagnosis and treatment. In this study we aim to identify clinically relevant subphenotypes of septic shock using a novel statistic al approach., Methods: Baseline patient data from a large global clinical trial of septic shock (n = 1696) was analysed using latent class analysis (LCA). This approach allowed investigators to identify subgroups in a heterogeneous population by estimating a categorical latent variable that detects relatively homogeneous subgroups within a complex phenomenon., Results: LCA identified six different, clinically meaningful subphenotypes of septic shock each with a typical profile: (1) "Uncomplicated Septic Shock, (2) "Pneumonia with adult respiratory distress syndrome (ARDS)", (3) "Postoperative Abdominal", (4) "Severe Septic Shock", (5): "Pneumonia with ARDS and multiple organ dysfunction syndrome (MODS)", (6) "Late Septic Shock". The 6-class solution showed high entropy approaching 1 (i.e., 0.92), indicating there was excellent separation between estimated classes., Conclusions: LCA appears to be an applicable statistical tool in analysing a heterogenous clinical cohort of septic shock. The results may lead to a better understanding of septic shock complexity and form a basis for considering targeted therapies and selecting patients for future clinical trials., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: A reanalysis of the ALBIOS trial suggested that patients with septic shock - defined by vasopressor-dependent hypotension in the presence of severe sepsis (Shock-2) - had a survival benefit when treated with albumin. The new septic shock definition (Shock-3) added the criterion of a lactate threshold of 2 mmol/L. We investigated how the populations defined according to Shock-2 and Shock-3 differed and whether the albumin benefit would be confirmed., Methods: This is a retrospective analysis of the ALBIOS study, a randomized controlled study conducted between 2008 and 2012 in 100 intensive care units in Italy comparing the administration of 20% albumin and crystalloids versus crystalloids alone in patients with severe sepsis or septic shock. We analyzed data from 1741 patients from ALBIOS with serum lactate measurement available at baseline. We compared group size, physiological variables and 90-day mortality between patients defined by Shock-2 and Shock-3 and between the albumin and crystalloid treatment groups., Results: We compared the Shock-2 and the Shock-3 definitions and the albumin and crystalloid treatment groups in terms of group size and physiological, laboratory and outcome variables. The Shock-3 definition reduced the population with shock by 34%. The Shock-3 group had higher lactate (p < 0.001), greater resuscitation-fluid requirement (p = 0.014), higher Simplified Acute Physiology Score II (p < 0.001) and Sepsis-related Organ Failure Assessment scores (p = 0.022), lower platelet count (p = 0.002) and higher 90-day mortality (46.7% vs 51.9%; p = 0.031). Albumin decreased mortality in Shock-2 patients compared to crystalloids (43.5% vs 49.9%; 12.6% relative risk reduction; p = 0.04). In patients defined by Shock-3 a similar benefit was observed for albumin with a 11.3% relative risk reduction (48.7% vs 54.9%; 11.3% relative risk reduction; p = 0.22)., Conclusions: The Sepsis-3 definition reduced the size of the population with shock and showed a similar effect size in the benefits of albumin. The Shock-3 criteria will markedly slow patients' recruitment rates, in view of testing albumin in septic shock., Trial Registration: ClinicalTrials.gov, number NCT00707122 . Registered on 30 June 2008.

Despite timely intervention, there exists a small subgroup of patients with septic shock who develop progressive multi-organ failure. Seemingly refractory to conventional therapy, they exhibit a very high mortality. Such patients are often poorly represented in large clinical trials. Consequently, good evidence for effective treatment strategies is lacking. In this article, we describe a pragmatic, multi-faceted approach to managing patients with refractory septic shock based on our experience of toxin-mediated sepsis in a specialist referral centre. Many components of this strategy are inexpensive and widely accessible, and so may offer an opportunity to improve outcomes in these critically ill patients.

Competing Interests: Competing interests: None declared.

Vasoplegia is the syndrome of pathological low systemic vascular resistance, the dominant clinical feature of which is reduced blood pressure in the presence of a normal or raised cardiac output. The vasoplegic syndrome is encountered in many clinical scenarios, including septic shock, post-cardiac bypass and after surgery, burns and trauma, but despite this, uniform clinical definitions are lacking, which renders translational research in this area challenging. We discuss the role of vasoplegia in these contexts and the criteria that are used to describe it are discussed. Intrinsic processes which may drive vasoplegia, such as nitric oxide, prostanoids, endothelin-1, hydrogen sulphide and reactive oxygen species production, are reviewed and potential for therapeutic intervention explored. Extrinsic drivers, including those mediated by glucocorticoid, catecholamine and vasopressin responsiveness of the blood vessels, are also discussed. The optimum balance between maintaining adequate systemic vascular resistance against the potentially deleterious effects of treatment with catecholamines is as yet unclear, but development of novel vasoactive agents may facilitate greater understanding of the role of the differing pathways in the development of vasoplegia. In turn, this may provide insights into the best way to care for patients with this common, multifactorial condition.

Objectives: In accordance with Rory's Regulations, hospitals across New York State developed and implemented protocols for sepsis recognition and treatment to reduce variations in evidence informed care and preventable mortality. The New York Department of Health sought to develop a risk assessment model for accurate and standardized hospital mortality comparisons of adult septic patients across institutions using case-mix adjustment., Design: Retrospective evaluation of prospectively collected data., Patients: Data from 43,204 severe sepsis and septic shock patients from 179 hospitals across New York State were evaluated., Settings: Prospective data were submitted to a database from January 1, 2015, to December 31, 2015., Interventions: None., Measurement and Main Results: Maximum likelihood logistic regression was used to estimate model coefficients used in the New York State risk model. The mortality probability was estimated using a logistic regression model. Variables to be included in the model were determined as part of the model-building process. Interactions between variables were included if they made clinical sense and if their p values were less than 0.05. Model development used a random sample of 90% of available patients and was validated using the remaining 10%. Hosmer-Lemeshow goodness of fit p values were considerably greater than 0.05, suggesting good calibration. Areas under the receiver operator curve in the developmental and validation subsets were 0.770 (95% CI, 0.765-0.775) and 0.773 (95% CI, 0.758-0.787), respectively, indicating good discrimination. Development and validation datasets had similar distributions of estimated mortality probabilities. Mortality increased with rising age, comorbidities, and lactate., Conclusions: The New York Sepsis Severity Score accurately estimated the probability of hospital mortality in severe sepsis and septic shock patients. It performed well with respect to calibration and discrimination. This sepsis-specific model provides an accurate, comprehensive method for standardized mortality comparison of adult patients with severe sepsis and septic shock.

A working group representing the Swedish Society for Infectious Diseases, the Swedish Society for Anaesthesiology and Intensive Care, the Swedish Society for Emergency Medicine, and the Swedish Intensive Care Registry have reached consensus on how to adopt the new sepsis definition, Sepsis-3, in Sweden. The recommendation is to implement the new definitions and diagnostic criteria for sepsis and septic shock, but not the use of the new screening tool for sepsis, quick-SOFA, as it needs prospective validation and since it is not clear if quick-SOFA is more useful than the currently used general triage and early warning score systems. The group recommends the use of the sfollowing ICD-10 codes: R65.1 for sepsis and R57.2 for septic shock.

Objective: We previously identified septic shock endotypes A and B based on 100 genes reflecting adaptive immunity and glucocorticoid receptor signaling. The endotypes differ with respect to outcome and corticosteroid responsiveness. We determined whether endotypes change during the initial 3 days of illness, and whether changes are associated with outcomes., Design: Observational cohort study including existing and newly enrolled participants., Setting: Multiple PICUs., Patients: Children with septic shock., Interventions: None., Measurements and Main Results: We measured the 100 endotyping genes at day 1 and day 3 of illness in 375 patients. We determined if endotype assignment changes over time, and whether changing endotype is associated with corticosteroid response and outcomes. We used multivariable logistic regression to adjust for illness severity, age, and comorbidity burden. Among the 132 subjects assigned to endotype A on day 1, 56 (42%) transitioned to endotype B by day 3. Among 243 subjects assigned to endotype B on day 1, 77 (32%) transitioned to endotype A by day 3. Assignment to endotype A on day 1 was associated with increased odds of mortality. This risk was modified by the subsequent day 3 endotype assignment. Corticosteroids were associated with increased risk of mortality among subjects who persisted as endotype A., Conclusions: A substantial proportion of children with septic shock transition endotypes during the acute phase of illness. The risk of poor outcome and the response to corticosteroids change with changes in endotype assignment. Patients persisting as endotype A are at highest risk of poor outcomes.

Background: Septic shock can be defined both by the presence of hyperlactatemia and need of vasopressors. Lactate levels should be measured after volume resuscitation (as per the Sepsis-3 definition). However, currently, no studies have evaluated patients who have been excluded by the new criteria for septic shock. The aim of this study was to determine the clinical characteristics and prognosis of these patients, based on their lactate levels after initial fluid resuscitation., Methods: This observational study was performed using a prospective, multi-center registry of septic shock, with the participation of 10 hospitals in the Korean Shock Society, between October 2015 and February 2017. We compared the 28-day mortality between patients who were excluded from the new definition (defined as lactate level <2 mmol/L after volume resuscitation) and those who were not (≥2 mmol/L after volume resuscitation), from among a cohort of patients with refractory hypotension, and requiring the use of vasopressors. Other outcome variables such as in-hospital mortality, intensive care unit (ICU) stay (days), Sequential Organ Failure Assessment (SOFA) scores and Acute Physiology and Chronic Health Evaluation (APACHE) II scores were also analyzed., Results: Of 567 patients with refractory hypotension, requiring the use of vasopressors, 435 had elevated lactate levels, while 83 did not have elevated lactate levels (either initially or after volume resuscitation), and 49 (8.2%) had elevated lactate levels initially, which normalized after fluid resuscitation. Thus, these 49 patients were excluded by the new definition of septic shock. These patients, in whom perfusion was restored, demonstrated significantly lower age, platelet count, and initial and subsequent lactate levels (all p < 0.01). Similarly, significantly lower 28-day mortality was observed in these patients than in those who had not been excluded (8.2% vs 25.5%, p = 0.02). In-hospital mortality and the maximum SOFA score were also significantly lower in the excluded patients group (p = 0.03, both)., Conclusions: It seems reasonable for septic shock to be defined by the lactate levels after volume resuscitation. However, owing to the small number of patients in whom lactate levels were improved, further study is warranted.

Purpose: The definitions of sepsis and septic shock have recently been revised in adults, but contemporary data are needed to inform similar approaches in children., Methods: Multicenter cohort study including children <16 years admitted with sepsis or septic shock to ICUs in Australia and New Zealand in the period 2012-2015. We assessed septic shock criteria at ICU admission to define sepsis severity, using 30-day mortality as outcome. Through multivariable logistic regression, a pediatric sepsis score was derived using variables available within 60 min of ICU admission., Results: Of 42,523 pediatric admissions, 4403 children were admitted with invasive infection, including 1697 diagnosed as having sepsis/septic shock on admission. Mortality was 8.5% (144/1697) and 50.7% of deaths occurred within 48 h of admission. The presence of septic shock as defined by the 2005 consensus was sensitive but not specific in predicting mortality (AUC = 0.69; 95% CI 0.65-0.72). Combinations of hypotension, vasopressor therapy, and lactate >2 mmol/l discriminated poorly (AUC <0.60). Multivariate models showed that oxygenation markers, ventilatory support, hypotension, cardiac arrest, serum lactate, pupil responsiveness, and immunosuppression were the best-performing predictors (0.843; 0.811-0.875). We derived a pediatric sepsis score (0.817; 0.779-0.855), and every one-point increase was associated with a 28.5% (23.8-33.2%) increase in the odds of death. Children with a score ≥6 had 19.8% mortality and accounted for 74.3% of deaths. The sepsis score performed comparably when applied to all children admitted with invasive infection (0.810; 0.781-0.840)., Conclusions: We observed mortality patterns specific to pediatric sepsis that support the need for specialized definitions of sepsis severity in children. We demonstrated the importance of lactate, cardiovascular, and respiratory derangements at ICU admission for the identification of children with substantially higher risk of sepsis mortality.

Background: The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) present clinical criteria for the classification of patients with sepsis. We investigated incidence and long-term outcomes of patients diagnosed with these classifications, which are currently unknown., Methods: We did a retrospective analysis using data from 30 239 participants from the USA who were aged at least 45 years and enrolled in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. Patients were enrolled between Jan 25, 2003, and Oct 30, 2007, and we identified hospital admissions from Feb 5, 2003, to Dec 31, 2012, and applied three classifications: infection and systemic inflammatory response syndrome (SIRS) criteria, elevated sepsis-related organ failure assessment (SOFA) score from Sepsis-3, and elevated quick SOFA (qSOFA) score from Sepsis-3. We estimated incidence during the study period, in-hospital mortality, and 1-year mortality., Findings: Of 2593 first infection events, 1526 met SIRS criteria, 1080 met SOFA criteria, and 378 met qSOFA criteria. Incidence was 8·2 events (95% CI 7·8-8·7) per 1000 person-years for SIRS, 5·8 events (5·4-6·1) per 1000 person-years for SOFA, and 2·0 events (1·8-2·2) per 1000 person-years for qSOFA. In-hospital mortality was higher for patients with an elevated qSOFA score (67 [23%] of 295 patients died) than for those with an elevated SOFA score (125 [13%] of 960 patients died) or who met SIRS criteria (128 [9%] of 1392 patients died). Mortality at 1 year after discharge was also highest for patients with an elevated qSOFA score (29·4 deaths [95% CI 22·3-38·7] per 100 person-years) compared with those with an elevated SOFA score (22·6 deaths [19·2-26·6] per 100 person-years) or those who met SIRS criteria (14·7 deaths [12·5-17·2] per 100 person-years)., Interpretation: SIRS, SOFA, and qSOFA classifications identified different incidences and mortality. Our findings support the use of the SOFA and qSOFA classifications to identify patients with infection who are at elevated risk of poor outcomes. These classifications could be used in future epidemiological assessments and studies of patients with infection., Funding: National Institute for Nursing Research, National Center for Research Resources, and National Institute of Neurological Disorders and Stroke., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

The article discusses new definitions for sepsis and septic shock called Sepsis-3. The definitions are put in the historical and factual context of the 1992 definition and their extended 2003 version. Also mentioned are potential impacts on clinical practice, with it-being clear that the new definition shifts the sepsis issues more to intensive care as it emphasizes organ failure. In prehospital care, emergency departments and general wards of hospitals where patients are triaged, a new scoring system, the so-called quick SOFA, may be used. In this approach, stress is placed on impaired consciousness, a drop in systolic pressure and tachypnea but its role in more precise identification is yet to be verified in common clinical practice.

Importance: Definitions of sepsis and septic shock were last revised in 2001. Considerable advances have since been made into the pathobiology (changes in organ function, morphology, cell biology, biochemistry, immunology, and circulation), management, and epidemiology of sepsis, suggesting the need for reexamination., Objective: To evaluate and, as needed, update definitions for sepsis and septic shock., Process: A task force (n = 19) with expertise in sepsis pathobiology, clinical trials, and epidemiology was convened by the Society of Critical Care Medicine and the European Society of Intensive Care Medicine. Definitions and clinical criteria were generated through meetings, Delphi processes, analysis of electronic health record databases, and voting, followed by circulation to international professional societies, requesting peer review and endorsement (by 31 societies listed in the Acknowledgment)., Key Findings From Evidence Synthesis: Limitations of previous definitions included an excessive focus on inflammation, the misleading model that sepsis follows a continuum through severe sepsis to shock, and inadequate specificity and sensitivity of the systemic inflammatory response syndrome (SIRS) criteria. Multiple definitions and terminologies are currently in use for sepsis, septic shock, and organ dysfunction, leading to discrepancies in reported incidence and observed mortality. The task force concluded the term severe sepsis was redundant., Recommendations: Sepsis should be defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. For clinical operationalization, organ dysfunction can be represented by an increase in the Sequential [Sepsis-related] Organ Failure Assessment (SOFA) score of 2 points or more, which is associated with an in-hospital mortality greater than 10%. Septic shock should be defined as a subset of sepsis in which particularly profound circulatory, cellular, and metabolic abnormalities are associated with a greater risk of mortality than with sepsis alone. Patients with septic shock can be clinically identified by a vasopressor requirement to maintain a mean arterial pressure of 65 mm Hg or greater and serum lactate level greater than 2 mmol/L (>18 mg/dL) in the absence of hypovolemia. This combination is associated with hospital mortality rates greater than 40%. In out-of-hospital, emergency department, or general hospital ward settings, adult patients with suspected infection can be rapidly identified as being more likely to have poor outcomes typical of sepsis if they have at least 2 of the following clinical criteria that together constitute a new bedside clinical score termed quickSOFA (qSOFA): respiratory rate of 22/min or greater, altered mentation, or systolic blood pressure of 100 mm Hg or less., Conclusions and Relevance: These updated definitions and clinical criteria should replace previous definitions, offer greater consistency for epidemiologic studies and clinical trials, and facilitate earlier recognition and more timely management of patients with sepsis or at risk of developing sepsis.

In search of a consensus the authors give current materials on the pathobiology of sepsis, which concerns the definitions, classification, etiology, pathogenesis, and diagnosis of the disease on the basis of their own experience and the data available in the literature. The sepsis problem that is one of the most controversial and complex ones in pathobiology and medical practice has undergone a great very important 25-year stage of development to culminate in the adoption of clinical Sepsis-3 Consensus. International experts have proposed a new definition of sepsis, with an emphasis on the life-threatening condition and the presence of organ dysfunction that can be regarded as an analogous to organ damage. Systemic inflammatory response remains an essential sign of sepsis, but is not strictly specific. Instead of its previous four forms of sepsis, two forms of the disease (sepsis proper and septic shock) have been identified. The Consensus-proposed Sepsis-3 criteria for diagnosing sepsis continue to remain predominantly clinical laboratory ones, confirming the need for further clinicopathological and experimental morphological comparisons in order to achieve a complete understanding of the problem of sepsis between clinicians and pathologists.

Septic shock definitions are being revisited. We assess the feasibility, reliability, and validity characteristics of the current definitions and criteria of septic shock. Septic shock is conceptualised as cardiovascular dysfunction, tissue perfusion and cellular abnormalities caused by infection. Currently, for feasibility, septic shock is identified at the bedside by using either hypotension or a proxy for tissue perfusion/cellular abnormalities (e.g., hyperlactatemia). We propose that concurrent presence of cardiovascular dysfunction and perfusion/cellular abnormalities could improve validity of septic shock diagnosis, as we are more likely to identify a patient population with all elements of the illness concept. This epidemiological refinement should not affect clinical care and may aid study design to identify illness-specific biomarkers and interventions.

Background: Severe sepsis is a common and costly problem. Although consistently defined clinically by consensus conference since 1991, there have been several different implementations of the severe sepsis definition using ICD-9-CM codes for research. We conducted a single center, patient-level validation of 1 common implementation of the severe sepsis definition, the so-called "Angus" implementation., Methods: Administrative claims for all hospitalizations for patients initially admitted to general medical services from an academic medical center in 2009-2010 were reviewed. On the basis of ICD-9-CM codes, hospitalizations were sampled for review by 3 internal medicine-trained hospitalists. Chart reviews were conducted with a structured instrument, and the gold standard was the hospitalists' summary clinical judgment on whether the patient had severe sepsis., Results: Three thousand one hundred forty-six (13.5%) hospitalizations met ICD-9-CM criteria for severe sepsis by the Angus implementation (Angus-positive) and 20,142 (86.5%) were Angus-negative. Chart reviews were performed for 92 randomly selected Angus-positive and 19 randomly-selected Angus-negative hospitalizations. Reviewers had a κ of 0.70. The Angus implementation's positive predictive value was 70.7% [95% confidence interval (CI): 51.2%, 90.5%]. The negative predictive value was 91.5% (95% CI: 79.0%, 100%). The sensitivity was 50.4% (95% CI: 14.8%, 85.7%). Specificity was 96.3% (95% CI: 92.4%, 100%). Two alternative ICD-9-CM implementations had high positive predictive values but sensitivities of <20%., Conclusions: The Angus implementation of the international consensus conference definition of severe sepsis offers a reasonable but imperfect approach to identifying patients with severe sepsis when compared with a gold standard of structured review of the medical chart by trained hospitalists.

Objectives: To evaluate the cardiovascular aberrations using multimodal monitoring in fluid refractory pediatric septic shock and describe the clinical characteristics of septic myocardial dysfunction., Design: Prospective observational study of patients with unresolved septic shock after infusion of 40 mL/kg fluid in the first hour., Setting: Two tertiary care referral Indian PICUs., Patients: Patients aged 1 month to 16 years who had fluid refractory septic shock., Interventions: Changes in therapy were based on findings of clinical assessment, bedside echocardiography, and invasive blood pressure monitoring within 6 hours of recognition of septic shock., Measurements and Main Results: Over a 4-year period, 48 patients remained in septic shock despite at least 40 mL/kg fluid infusion. On clinical examination, 21 patients had cold shock and 27 had warm shock. Forty-one patients (85.5%) had vasodilatory shock on invasive blood pressure; these included 14 patients who initially presented with cold shock. The commonest echocardiography findings were impaired left ± right ventricular function in 19 patients (39.6%) and hypovolemia in 16 patients (33%). Three patients who had normal myocardial function on day 1 developed secondary septic myocardial dysfunction on day 3. Echocardio graphy, along with invasive arterial pressure monitoring, allowed fluid, inotropy, and pressors to be titrated more precisely in 87.5% of patients. Shock resolved in 46 of 48 patients (96%) and 44 patients (91.6%) survived to discharge., Conclusion: Bedside echocardiography provided crucial information leading to the recognition of septic myocardial dysfunction and uncorrected hypovolemia that was not apparent on clinical assessment. With invasive blood pressure monitoring, echocardiography affords a simple noninvasive tool to determine the cause of low cardiac output and the physiological basis for adjustment of therapy in patients who remain in shock despite 40 mL/kg fluid.

Objective: The current definition of severe sepsis and septic shock includes a heterogeneous profile of patients. Although the prognostic value of hyperlactatemia is well established, hyperlactatemia is observed in patients with and without shock. The present study aimed to compare the prognosis of septic patients by stratifying them according to two factors: hyperlactatemia and persistent hypotension., Methods: The present study is a secondary analysis of an observational study conducted in ten hospitals in Brazil (Rede Amil - SP). Septic patients with initial lactate measurements in the first 6 hours of diagnosis were included and divided into 4 groups according to hyperlactatemia (lactate >4mmol/L) and persistent hypotension: (1) severe sepsis (without both criteria); (2) cryptic shock (hyperlactatemia without persistent hypotension); (3) vasoplegic shock (persistent hypotension without hyperlactatemia); and (4) dysoxic shock (both criteria)., Results: In total, 1,948 patients were analyzed, and the sepsis group represented 52% of the patients, followed by 28% with vasoplegic shock, 12% with dysoxic shock and 8% with cryptic shock. Survival at 28 days differed among the groups (p<0.001). Survival was highest among the severe sepsis group (69%, p<0.001 versus others), similar in the cryptic and vasoplegic shock groups (53%, p=0.39), and lowest in the dysoxic shock group (38%, p<0.001 versus others). In the adjusted analysis, the survival at 28 days remained different among the groups (p<0.001) and the dysoxic shock group exhibited the highest hazard ratio (HR=2.99, 95%CI 2.21-4.05)., Conclusion: The definition of sepsis includes four different profiles if we consider the presence of hyperlactatemia. Further studies are needed to better characterize septic patients, to understand the etiology and to design adequate targeted treatments.

Objective: The epidemiology of severe sepsis is derived from administrative databases that rely on International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes to select cases. We compared the sensitivity of two code abstraction methods in identifying severe sepsis cases using a severe sepsis registry., Design: Single-center retrospective cohort study., Setting: Tertiary care, Academic, University Hospital., Patients: One thousand seven hundred thirty-five patients with severe sepsis or septic shock., Interventions: None., Measurements: Proportion identified as severe sepsis using two code abstraction methods: 1) the new specific ICD-9 codes for severe sepsis and septic shock, and 2) a validated method requiring two ICD-9 codes for infection and end-organ dysfunction. Multivariable logistic regression was performed to determine sociodemographics and clinical characteristics associated with documentation and coding accuracy., Main Results: The strategy combining a code for infection and end-organ dysfunction was more sensitive in identifying cases than the method requiring specific ICD-9 codes for severe sepsis or septic shock (47% vs. 21%). Elevated serum lactate level (p<0.001), ICU admission (p<0.001), presence of shock (p<0.001), bacteremia as the source of sepsis (p=0.02), and increased Acute Physiology and Chronic Health Evaluation II score (p<0.001) were independently associated with being appropriately documented and coded. The 28-day mortality was significantly higher in those who were accurately documented/coded (41%, compared with 14% in those who were not, p<0.001), reflective of a more severe presentation on admission., Conclusions: Patients admitted with severe sepsis and septic shock were incompletely documented and under-coded, using either ICD-9 code abstracting method. Documentation of subsequent coding of severe sepsis was more common in more severely ill patients. These findings are important when evaluating current national estimates and when interpreting epidemiologic studies of severe sepsis as cohorts derived from claims-based strategies appear to be biased toward a more severely ill patient population.

Background: To establish the prognostic and discriminative value of the pro-atrial natriuretic peptide (pro-ANP) level in patients with severe sepsis or septic shock., Patients and Methods: An observational and prospective study was conducted on 50 critically ill patients with severe sepsis or septic shock. Measurements of the level of procalcitonin (PCT) and mid-regional pro-ANP were determined in the serum of patients with commercially available immunoluminometric tests., Results: The median pro-ANP level was significantly higher in non-survivors than in survivors (P < 0.05) on all consecutive days. No significant differences in the pro-ANP levels were observed in patients with severe sepsis and septic shock. There was a strong correlation between the PCT and pro-ANP levels on admission in non-survivors and in septic shock patients (r = 0.56, P = 0.007 and r = 0.43, P = 0.02, respectively)., Conclusions: pro-ANP evaluated in severe sepsis and septic shock patients is a valuable prognostic biomarker, but, in contrast to PCT, which is routinely used as a diagnostic marker of severe sepsis and septic shock, it does not possess diagnostic and discriminative value.

Purpose: To quantify the effects of minor variations in the definition and measurement of systemic inflammatory response syndrome (SIRS) criteria and organ failure on the observed incidences of sepsis, severe sepsis and septic shock., Methods: We conducted a prospective, observational study in a tertiary intensive care unit in The Netherlands between January 2009 and October 2010. A total of 1,072 consecutive adults were included. We determined the upper and lower limits of the measured incidence of sepsis by evaluating the influence of the use of an automated versus a manual method of data collection, and variations in the number of SIRS criteria, concurrency of SIRS criteria, and duration of abnormal values required to make a particular diagnosis., Results: The measured incidence of SIRS varied from 49% (most restrictive setting) to 99% (most liberal setting). Subsequently, the incidences of sepsis, severe sepsis and septic shock ranged from 22 to 31%, from 6 to 27% and from 4 to 9% for the most restrictive versus the most liberal measurement settings, respectively. In non-infected patients, 39-98% of patients had SIRS, whereas still 17-6% of patients without SIRS had an infection., Conclusions: The apparent incidence of sepsis heavily depends on minor variations in the definition of SIRS and mode of data recording. As a consequence, the current consensus criteria do not ensure uniform recruitment of patients into sepsis trials.

Objective: Septic shock heterogeneity has important implications for clinical trial implementation and patient management. We previously addressed this heterogeneity by identifying three putative subclasses of children with septic shock based exclusively on a 100-gene expression signature. Here we attempted to prospectively validate the existence of these gene expression-based subclasses in a validation cohort., Design: Prospective observational study involving microarray-based bioinformatics., Setting: Multiple pediatric intensive care units in the United States., Patients: Separate derivation (n = 98) and validation (n = 82) cohorts of children with septic shock., Interventions: None other than standard care., Measurements and Main Results: Gene expression mosaics of the 100 class-defining genes were generated for 82 individual patients in the validation cohort. Using computer-based image analysis, patients were classified into one of three subclasses ("A," "B," or "C") based on color and pattern similarity relative to reference mosaics generated from the original derivation cohort. After subclassification, the clinical database was mined for phenotyping. Subclass A patients had higher illness severity relative to subclasses B and C as measured by maximal organ failure, fewer intensive care unit-free days, and a higher Pediatric Risk of Mortality score. Patients in subclass A were characterized by repression of genes corresponding to adaptive immunity and glucocorticoid receptor signaling. Separate subclass assignments were conducted by 21 individual clinicians using visual inspection. The consensus classification of the clinicians had modest agreement with the computer algorithm., Conclusions: We have validated the existence of subclasses of children with septic shock based on a biologically relevant, 100-gene expression signature. The subclasses have relevant clinical differences.

This paper reports the result of the MEDAN project that analyzes a multicenter septic shock patient data collection. The mortality prognosis based on 4 scores that are often used is compared with the prognosis of a trained neural network. We built an alarm system using the network classification results. Method. We analyzed the data of 382 patients with abdominal septic shock who were admitted to the intensive care unit (ICU) from 1998 to 2002. The analysis includes the calculation of daily sepsis-related organ failure assessment (SOFA), Acute Physiological and Chronic Health Evaluation (APACHE) II, simplified acute physiology score (SAPS) II, multiple-organ dysfunction score (MODS) scores for each patient and the training and testing of an appropriate neural network. Results. For our patients with abdominal septic shock, the analysis shows that it is not possible to predict their individual fate correctly on the day of admission to the ICU on the basis of any current score. However, when the trained network computes a score value below the threshold during the ICU stay, there is a high probability that the patient will die within 3 days. The trained neural network obtains the same outcome prediction performance as the best score, the SOFA score, using narrower confidence intervals and considering three variables only: systolic blood pressure, diastolic blood pressure and the number of thrombocytes. We conclude that the currently best available score for abdominal septic shock may be replaced by the output of a trained neural network with only 3 input variables.

Objective: To develop a clinically feasible stratification strategy for pediatric septic shock, using gene expression mosaics and a 100-gene signature representing the first 24 hrs of admission to the pediatric intensive care unit., Design: Prospective, observational study involving microarray-based bioinformatics., Setting: Multiple pediatric intensive care units in the United States., Patients: Ninety-eight children with septic shock., Interventions: None other than standard care., Measurements and Main Results: Patients were classified into three previously published, genome-wide, expression-based subclasses (subclasses A, B, and C) having clinically relevant phenotypic differences. The class-defining 100-gene signature was depicted for each individual patient, using mosaics generated by the Gene Expression Dynamics Inspector (GEDI). Composite mosaics were generated representing the average expression patterns for each of the three subclasses. Nine individual clinicians served as blinded evaluators. Each evaluator was shown the 98 individual patient mosaics and asked to classify each patient into one of the three subclasses, using the composite mosaics as the reference point. The respective sensitivities, specificities, positive predictive values, and negative predictive values of the subclassification strategy were ≥ 4% across the three subclasses. The classification strategy also generated positive likelihood ratios of ≥ 6.8 and negative likelihood ratios of ≤ .2 across the three subclasses. The κ coefficient across all possible interevaluator comparisons was 0.81., Conclusions: We have provided initial evidence (proof of concept) for a clinically feasible and robust stratification strategy for pediatric septic shock based on a 100-gene signature and gene expression mosaics.

Hypothesis: Selected elements of a simple physical examination algorithm accurately predict categories of shock., Setting: A 350-bed community teaching hospital., Methods: Resident trainees who manage all critically ill and medically unstable patients were instructed to document capillary refill, (palpated) pulse volume, skin temperature, jugular venous pressure (JVP) and lung examination in all patients with prolonged (>30 minutes hypotension <90 mmHg). Treatment was determined by house officers guided by attending physicians of record. All cases were retrospectively reviewed by a senior clinician who applied consensus criteria/definitions to categorize shock as septic, cardiogenic or hypovolemic. Operating characteristics of examination findings for predicting categories of shock were computed., Results: A total of 68 patients, averaging 71 ± 16 years, were studied. A total of 37 patients were diagnosed with septic shock, 18 with cardiogenic shock of and 13 with hypovolemic shock. Capillary refill and skin temperature predicted septic shock with sensitivity of 89%, specificity of 68%, positive predictive value (PPV) of 77%, negative predictive value (NPV) of 84%, and overall accuracy of 79%. Presence of JVP >7 cmH(2)O was more accurate than bilateral pulmonary crackles (>1/3 from bases) in predicting cardiogenic shock for low-output patients with sensitivity of 82%, specificity of 79%, PPV of 75%, NPV of 85%, and overall accuracy of 80%. Using just skin temperature and JVP, the bedside approach correctly diagnosed 52/68 cases (overall accuracy = 76%)., Conclusions: Simple bedside clinical examination findings correctly predict categories of shock in a majority of cases.