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JAMA | 2016

The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Mervyn Singer; Clifford S. Deutschman; Christopher W. Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R. Bernard; Jean-Daniel Chiche; Craig M. Coopersmith; Richard S. Hotchkiss; Mitchell M. Levy; John Marshall; Greg S. Martin; Steven M. Opal; Gordon D. Rubenfeld; Tom van der Poll; Jean Louis Vincent; Derek C. Angus

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.


JAMA | 2016

Developing a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Manu Shankar-Hari; Gary Phillips; Mitchell L. Levy; Christopher W. Seymour; Vincent Liu; Clifford S. Deutschman; Derek C. Angus; Gordon D. Rubenfeld; Mervyn Singer

IMPORTANCE Septic shock currently refers to a state of acute circulatory failure associated with infection. Emerging biological insights and reported variation in epidemiology challenge the validity of this definition. OBJECTIVE To develop a new definition and clinical criteria for identifying septic shock in adults. DESIGN, SETTING, AND PARTICIPANTS The Society of Critical Care Medicine and the European Society of Intensive Care Medicine convened a task force (19 participants) to revise current sepsis/septic shock definitions. Three sets of studies were conducted: (1) a systematic review and meta-analysis of observational studies in adults published between January 1, 1992, and December 25, 2015, to determine clinical criteria currently reported to identify septic shock and inform the Delphi process; (2) a Delphi study among the task force comprising 3 surveys and discussions of results from the systematic review, surveys, and cohort studies to achieve consensus on a new septic shock definition and clinical criteria; and (3) cohort studies to test variables identified by the Delphi process using Surviving Sepsis Campaign (SSC) (2005-2010; n = 28,150), University of Pittsburgh Medical Center (UPMC) (2010-2012; n = 1,309,025), and Kaiser Permanente Northern California (KPNC) (2009-2013; n = 1,847,165) electronic health record (EHR) data sets. MAIN OUTCOMES AND MEASURES Evidence for and agreement on septic shock definitions and criteria. RESULTS The systematic review identified 44 studies reporting septic shock outcomes (total of 166,479 patients) from a total of 92 sepsis epidemiology studies reporting different cutoffs and combinations for blood pressure (BP), fluid resuscitation, vasopressors, serum lactate level, and base deficit to identify septic shock. The septic shock-associated crude mortality was 46.5% (95% CI, 42.7%-50.3%), with significant between-study statistical heterogeneity (I2 = 99.5%; τ2 = 182.5; P < .001). The Delphi process identified hypotension, serum lactate level, and vasopressor therapy as variables to test using cohort studies. Based on these 3 variables alone or in combination, 6 patient groups were generated. Examination of the SSC database demonstrated that the patient group requiring vasopressors to maintain mean BP 65 mm Hg or greater and having a serum lactate level greater than 2 mmol/L (18 mg/dL) after fluid resuscitation had a significantly higher mortality (42.3% [95% CI, 41.2%-43.3%]) in risk-adjusted comparisons with the other 5 groups derived using either serum lactate level greater than 2 mmol/L alone or combinations of hypotension, vasopressors, and serum lactate level 2 mmol/L or lower. These findings were validated in the UPMC and KPNC data sets. CONCLUSIONS AND RELEVANCE Based on a consensus process using results from a systematic review, surveys, and cohort studies, septic shock is defined as a subset of sepsis in which underlying circulatory, cellular, and metabolic abnormalities are associated with a greater risk of mortality than sepsis alone. Adult patients with septic shock can be identified using the clinical criteria of hypotension requiring vasopressor therapy to maintain mean BP 65 mm Hg or greater and having a serum lactate level greater than 2 mmol/L after adequate fluid resuscitation.


Critical Care | 2011

Bench-to-bedside review: Immunoglobulin therapy for sepsis - biological plausibility from a critical care perspective

Manu Shankar-Hari; Jo Spencer; William A. Sewell; Kathryn M Rowan; Mervyn Singer

Sepsis represents a dysregulated host response to infection, the extent of which determines the severity of organ dysfunction and subsequent outcome. All trialled immunomodulatory strategies to date have resulted in either outright failure or inconsistent degrees of success. Intravenous immunoglobulin (IVIg) therapy falls into the latter category with opinion still divided as to its utility. This article provides a narrative review of the biological rationale for using IVIg in sepsis. A literature search was conducted using the PubMed database (1966 to February 2011). The strategy included the following text terms and combinations of these: IVIg, intravenous immune globulin, intravenous immunoglobulin, immunoglobulin, immunoglobulin therapy, pentaglobin, sepsis, inflammation, immune modulation, apoptosis. Preclinical and extrapolated clinical data of IVIg therapy in sepsis suggests improved bacterial clearance, inhibitory effects upon upstream mediators of the host response (for example, the nuclear factor kappa B (NF-κB) transcription factor), scavenging of downstream inflammatory mediators (for example, cytokines), direct anti-inflammatory effects mediated via Fcγ receptors, and a potential ability to attenuate lymphocyte apoptosis and thus sepsis-related immunosuppression. Characterizing the trajectory of change in immunoglobulin levels during sepsis, understanding mechanisms contributing to these changes, and undertaking IVIg dose-finding studies should be performed prior to further large-scale interventional trials to enhance the likelihood of a successful outcome.


Critical Care Medicine | 2016

Differences in Impact of Definitional Elements on Mortality Precludes International Comparisons of Sepsis Epidemiology-A Cohort Study Illustrating the Need for Standardized Reporting*

Manu Shankar-Hari; David A Harrison; Kathryn M Rowan

Objectives:Sepsis generates significant global acute illness burden. The international variations in sepsis epidemiology (illness burden) have implications for region specific health policy. We hypothesised that there have been changes over time in the sepsis definitional elements (infection and organ dysfunction), and these may have impacted on hospital mortality. Design:Cohort study. Setting:We evaluated a high quality, nationally representative, clinical ICU database including data from 181 adult ICUs in England. Patients:Nine hundred sixty-seven thousand five hundred thirty-two consecutive adult ICU admissions from January 2000 to December 2012. Interventions:None. Measurements and Main Results:To address the proposed hypothesis, we evaluated a high quality, nationally representative, clinical, ICU database of 967,532 consecutive admissions to 181 adult ICUs in England, from January 2000 to December 2012, to identify sepsis cases in a robust and reproducible way. Multinomial logistic regression was used to report unadjusted trends in sepsis definitional elements and in mortality risk categories based on organ dysfunction combinations. We generated logistic regression models and assessed statistical interactions with acute hospital mortality as outcome and cohort characteristics, sepsis definitional elements, and mortality risk categories as covariates. Finally, we calculated postestimation statistics to illustrate the magnitude of clinically meaningful improvements in sepsis outcomes over the study period. Over the study period, there were 248,864 sepsis admissions (25.7%). Sepsis mortality varied by infection sources (19.1% for genitourinary to 43.0% for respiratory; p < 0.001), by number of organ dysfunctions (18.5% for 1 to 69.9% for 5; p < 0.001), and organ dysfunction combinations (18.5% for risk category 1 to 58.0% for risk category 4). The rate of improvement in adjusted hospital mortality was significant (odds ratio, 0.939 [0.934–0.945] per year; p < 0.001), but showed different secular trends in improvement between infection sources. Conclusions:Within a sepsis cohort, we illustrate case-mix heterogeneity using definitional elements (infection source and organ dysfunction). In the context of improving outcomes, we illustrate differential secular trends in impact of these variables on adjusted mortality and propose this as a valid reason for international variations in sepsis epidemiology. Our article highlights the need to determine standardized reporting elements for optimal comparisons of international sepsis epidemiology.


Current Infectious Disease Reports | 2016

Understanding Long-Term Outcomes Following Sepsis: Implications and Challenges

Manu Shankar-Hari; Gordon D. Rubenfeld

Sepsis is life-threating organ dysfunction due to infection. Incidence of sepsis is increasing and the short-term mortality is improving, generating more sepsis survivors. These sepsis survivors suffer from additional morbidities such as higher risk of readmissions, cardiovascular disease, cognitive impairment and of death, for years following index sepsis episode. In the first year following index sepsis episode, approximately 60 % of sepsis survivors have at least one rehospitalisation episode, which is most often due to infection and one in six sepsis survivors die. Sepsis survivors also have a higher risk of cognitive impairment and cardiovascular disease contributing to the reduced life expectancy seen in this population, when assessed with life table comparisons. For optimal design of interventional trials to reduce these bad outcomes in sepsis survivors, in-depth understanding of major risk factors for these morbid events, their modifiability and a causal relationship to the pathobiology of sepsis is essential. This review highlights the recent advances, clinical and methodological challenges in our understanding of these morbid events in sepsis survivors.


Intensive Care Medicine | 2017

The intensive care medicine research agenda on septic shock.

Anders Perner; Anthony C. Gordon; Derek C. Angus; Francois Lamontagne; Flávia Ribeiro Machado; James A. Russell; Jean-François Timsit; John Marshall; John Myburgh; Manu Shankar-Hari; Mervyn Singer

Septic shock remains a global health challenge with millions of cases every year, high rates of mortality and morbidity, impaired quality of life among survivors and relatives, and high resource use both in developed and developing nations. Care and outcomes are improving through organisational initiatives and updated clinical practice guidelines based on clinical research mainly carried out by large collaborative networks. This progress is likely to continue through the collaborative work of the established and merging trials groups in many parts of the world and through refined trial methodology and translational work. In this review, international experts summarize the current position of clinical research in septic shock and propose a research agenda to advance this field.


Anaesthesia | 2017

The use of enrichment to reduce statistically indeterminate or negative trials in critical care

Manu Shankar-Hari; Gordon D. Rubenfeld

and TASK-3 (KCNK9) subunits. Journal of Neuroscience 2004; 24: 6693–702. 26. Suzuki T, Koyama H, Sugimoto M, Uchida I, Mashimo T. The diverse actions of volatile and gaseous anesthetics on human-cloned 5-hydroxytryptamine3 receptors expressed in Xenopus oocytes. Anesthesiology 2002; 96: 699–704. 27. English TA, Gristwood RW, Owen DA, Wallwork J. Impromidine is a partial histamine H2-receptor agonist on human ventricular myocardium. British Journal of Pharmacology 1986; 89: 335–40. 28. Jenkinson DH. Classical approaches to the study of drug-receptor interaction (Chapter 1). In: Foreman JC, Joansen T, Gibb AJ, eds. Textbook of Receptor Pharmacology, 3rd edn. Boca Raton, FL: CRC Press. 2011; 3–78. 29. Liu Y, Dilger JP. Decamethonium is a partial agonist at the nicotinic acetylcholine receptor. Synapse 1993; 13: 57–62. 30. Eckenhoff RG, Johansson JS. On the relevance of clinically relevant concentrations of inhaled anesthetics in in vitro experiments. Anesthesiology 1999; 91: 856–60. 31. Eger EI 2nd, Fisher DM, Dilger JP. Relevant concentrations of inhaled anesthetics for in vitro studies of anesthetic mechanisms. Anesthesiology 2001; 94: 915–21. 32. Sincoff R, Tanguy J, Hamilton B, Carter D, Brunner EA, Yeh JZ. Halothane acts as a partial agonist of the a6b2c2S GABA(A) receptor. FASEB Journal 1996; 10: 1539–45. 33. Styer AM, Mirshahi UL, Wang C, et al. G protein bc gating confers volatile anesthetic inhibition to Kir3 channels. Journal of Biological Chemistry 2010; 285: 41290–9. 34. Jonsson Fagerlund M, Sj€ odin J, Krupp J, Dabrowski MA. Reduced effect of propofol at human a1b2(N289M)c2 and a2b3(N290M)c2 mutant GABA(A) receptors. British Journal of Anaesthesia 2010; 104: 472–81. 35. Gillman MA. Analgesic (sub anesthetic) nitrous oxide interacts with the endogenous opioid system: a review of the evidence. Life Sciences 1986; 39: 1209–21. 36. Bojak I, Day HC, Liley DT. Ketamine, propofol, and the EEG: a neural field analysis of HCN1-mediated interactions. Frontiers in Computational Neuroscience 2013; 7: 22.


Critical Care Medicine | 2017

Activation-Associated Accelerated Apoptosis of Memory B Cells in Critically Ill Patients With Sepsis

Manu Shankar-Hari; David J. Fear; Paul Lavender; Tracey Mare; Richard Beale; Chad M. Swanson; Mervyn Singer; Jo Spencer

Objective: Sepsis is life-threatening organ dysfunction due to dysregulated host responses to infection. Current knowledge of human B-cell alterations in sepsis is sparse. We tested the hypothesis that B-cell loss in sepsis involves distinct subpopulations of B cells and investigated mechanisms of B-cell depletion. Design: Prospective cohort study. Setting: Critical care units. Patients: Adult sepsis patients without any documented immune comorbidity. Interventions: None. Measurements and Main Results: B-cell subsets were quantified by flow cytometry; annexin-V status identified apoptotic cells and phosphorylation of intracellular kinases identified activation status of B-cell subsets. B cell–specific survival ligand concentrations were measured. Gene expression in purified B cells was measured by microarray. Differences in messenger RNA abundance between sepsis and healthy controls were compared. Lymphopenia present in 74.2% of patients on admission day was associated with lower absolute B-cell counts (median [interquartile range], 0.133 [0.093–0.277] 109 cells/L) and selective depletion of memory B cells despite normal B cell survival ligand concentrations. Greater apoptotic depletion of class-switched and IgM memory cells was associated with phosphorylation of extracellular signal-regulated kinases, implying externally driven lymphocyte stress and activation-associated cell death. This inference is supported by gene expression profiles highlighting mitochondrial dysfunction and cell death pathways, with enriched intrinsic and extrinsic pathway apoptosis genes. Conclusions: Depletion of the memory B-cell compartment contributes to the immunosuppression induced by sepsis. Therapies targeted at reversing this immune memory depletion warrant further investigation.


BJA: British Journal of Anaesthesia | 2017

Epidemiology of sepsis and septic shock in critical care units: comparison between Sepsis-2 and Sepsis-3 populations using a national critical care database

Manu Shankar-Hari; David A Harrison; Gordon D. Rubenfeld; Kathryn M Rowan

Background New sepsis and septic shock definitions could change the epidemiology of sepsis because of differences in criteria. We therefore compared the sepsis populations identified by the old and new definitions. Methods We used a high-quality, national, intensive care unit (ICU) database of 654 918 consecutive admissions to 189 adult ICUs in England, from January 2011 to December 2015. Primary outcome was acute hospital mortality. We compared old (Sepsis-2) and new (Sepsis-3) incidence, outcomes, trends in outcomes, and predictive validity of sepsis and septic shock populations. Results From among 197 724 Sepsis-2 severe sepsis and 197 142 Sepsis-3 sepsis cases, we identified 153 257 Sepsis-2 septic shock and 39 262 Sepsis-3 septic shock cases. The extrapolated population incidence of Sepsis-3 sepsis and Sepsis-3 septic shock was 101.8 and 19.3 per 100 000 person-years, respectively, in 2015. Sepsis-2 severe sepsis and Sepsis-3 sepsis had similar incidence, similar mortality and showed significant risk-adjusted improvements in mortality over time. Sepsis-3 septic shock had a much higher Acute Physiology And Chronic Health Evaluation II (APACHE II) score, greater mortality and no risk-adjusted trends in mortality improvement compared with Sepsis-2 septic shock. ICU admissions identified either as Sepsis-3 sepsis or septic shock and as Sepsis-2 severe sepsis or septic shock had significantly greater risk-adjusted odds of death compared with non-sepsis admissions (P<0.001). The predictive validity was greatest for Sepsis-3 septic shock. Conclusions In an ICU database, compared with Sepsis-2, Sepsis-3 identifies a similar sepsis population with 92% overlap and much smaller septic shock population with improved predictive validity.


Medical Decision Making | 2015

Accounting for Heterogeneity in Relative Treatment Effects for Use in Cost-Effectiveness Models and Value-of-Information Analyses

Nicky J Welton; Marta Soares; Stephen Palmer; Ae Ades; David G Harrison; Manu Shankar-Hari; Kathryn M Rowan

Cost-effectiveness analysis (CEA) models are routinely used to inform health care policy. Key model inputs include relative effectiveness of competing treatments, typically informed by meta-analysis. Heterogeneity is ubiquitous in meta-analysis, and random effects models are usually used when there is variability in effects across studies. In the absence of observed treatment effect modifiers, various summaries from the random effects distribution (random effects mean, predictive distribution, random effects distribution, or study-specific estimate [shrunken or independent of other studies]) can be used depending on the relationship between the setting for the decision (population characteristics, treatment definitions, and other contextual factors) and the included studies. If covariates have been measured that could potentially explain the heterogeneity, then these can be included in a meta-regression model. We describe how covariates can be included in a network meta-analysis model and how the output from such an analysis can be used in a CEA model. We outline a model selection procedure to help choose between competing models and stress the importance of clinical input. We illustrate the approach with a health technology assessment of intravenous immunoglobulin for the management of adult patients with severe sepsis in an intensive care setting, which exemplifies how risk of bias information can be incorporated into CEA models. We show that the results of the CEA and value-of-information analyses are sensitive to the model and highlight the importance of sensitivity analyses when conducting CEA in the presence of heterogeneity. The methods presented extend naturally to heterogeneity in other model inputs, such as baseline risk.

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Mervyn Singer

University College London

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Gordon D. Rubenfeld

Sunnybrook Health Sciences Centre

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Marius Terblanche

Guy's and St Thomas' NHS Foundation Trust

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Nicholas Barrett

Guy's and St Thomas' NHS Foundation Trust

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Duncan Wyncoll

Guy's and St Thomas' NHS Foundation Trust

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Guy Glover

Guy's and St Thomas' NHS Foundation Trust

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Luigi Camporota

Guy's and St Thomas' NHS Foundation Trust

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