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Objective Circulatory shock is a life-threatening syndrome resulting in multiorgan failure and a high mortality rate. The aim of this consensus is to provide support to the bedside clinician regarding the diagnosis, management and monitoring of shock. Methods The European Society of Intensive Care Medicine invited 12 experts to form a Task Force to update a previous consensus (Antonelli et al.: Intensive Care Med 33:575–590, 2007). The same five questions addressed in the earlier consensus were used as the outline for the literature search and review, with the aim of the Task Force to produce statements based on the available literature and evidence. These questions were: (1) What are the epidemiologic and pathophysiologic features of shock in the intensive care unit? (2) Should we monitor preload and fluid responsiveness in shock? (3) How and when should we monitor stroke volume or cardiac output in shock? (4) What markers of the regional and microcirculation can be monitored, and how can cellular function be assessed in shock? (5) What is the evidence for using hemodynamic monitoring to direct therapy in shock? Four types of statements were used: definition, recommendation, best practice and statement of fact. Results Forty-four statements were made. The main new statements include: (1) statements on individualizing blood pressure targets; (2) statements on the assessment and prediction of fluid responsiveness; (3) statements on the use of echocardiography and hemodynamic monitoring. Conclusions This consensus provides 44 statements that can be used at the bedside to diagnose, treat and monitor patients with shock.

Mortality from severe sepsis and septic shock differs across continents, countries, and regions. We aimed to use data from the Surviving Sepsis Campaign (SSC) to compare models of care and outcomes for patients with severe sepsis and septic shock in the USA and Europe. The SSC was introduced into more than 200 sites in Europe and the USA. All patients identified with severe sepsis and septic shock in emergency departments or hospital wards and admitted to intensive care units (ICUs), and those with sepsis in ICUs were entered into the SSC database. Patients entered into the database from its launch in January, 2005, through January, 2010, in units with at least 20 patients and 3 months of enrolment of patients were included in this analysis. Patients included in the cohort were limited to those entered in the first 4 years at every site. We used random-effects logistic regression to estimate the hospital mortality odds ratio (OR) for Europe relative to the USA. We used random-effects linear regression to find the relation between lengths of stay in hospital and ICU and geographic region. 25 375 patients were included in the cohort. The USA included 107 sites with 18 766 (74%) patients, and Europe included 79 hospital sites with 6609 (26%) patients. In the USA, 12 218 (65·1%) were admitted to the ICU from the emergency department whereas in Europe, 3405 (51·5%) were admitted from the wards. The median stay on the hospital wards before ICU admission was longer in Europe than in the USA (1·0 vs 0·1 days, difference 0·9, 95% CI 0·8–0·9). Raw hospital mortality was higher in Europe than in the USA (41·1% vs 28·3%, difference 12·8, 95% CI 11·5–14·7). The median length of stay in ICU (7·8 vs 4·2 days, 3·6, 3·3–3·7) and hospital (22·8 vs 10·5 days, 12·3, 11·9–12·8) was longer in Europe than in the USA. Adjusted mortality in Europe was not significantly higher than that in the USA (32·3% vs 31·3%, 1·0, −1·7 to 3·7, p=0·468). Complete compliance with all applicable elements of the sepsis resuscitation bundle was higher in the USA than in Europe (21·6% vs 18·4%, 3·2, 2·2–4·4). The significant difference in unadjusted mortality and the fact that this difference disappears with severity adjustment raise important questions about the effect of the approach to critical care in Europe compared with that in the USA. The effect of ICU bed availability on outcomes in patients with severe sepsis and septic shock requires further investigation. Eli Lilly Co, Baxter Lifesciences, Philips Medical Systems, the Society of Critical Care Medicine, and the European Society of Intensive Care Medicine.

In this study comparing the delivery of early nutritional support through the parenteral route with delivery through the enteral route in critically ill adults, there was no significant difference in 30-day mortality between the groups. Nutritional support is standard for critically ill patients and requires a complex calculus of timing, route of delivery, and the amount and type of nutrients that are administered — all of which may affect patient outcomes. The interpretation of published meta-analyses of trials comparing nutritional support through the parenteral route versus the enteral route in critically ill patients 1 – 3 is complicated by small sample sizes, variable quality, selection bias, lack of standardized definitions, and interventions that combine multiple elements of nutritional support (e.g., timing and route). Currently, the enteral route is the mainstay, largely on the grounds of physiological rationale . . .

Introduction Despite evidence demonstrating the value of performance initiatives, marked differences remain between hospitals in the delivery of care for patients with sepsis. The aims of this study were to improve our understanding of how compliance with the 3-h and 6-h Surviving Sepsis Campaign (SSC) bundles are used in different geographic areas, and how this relates to outcome. Methods This was a global, prospective, observational, quality improvement study of compliance with the SSC bundles in patients with either severe sepsis or septic shock. Results A total of 1794 patients from 62 countries were enrolled in the study with either severe sepsis or septic shock. Overall compliance with all the 3-h bundle metrics was 19 %. This was associated with lower hospital mortality than non-compliance (20 vs. 31 %, p  < 0.001). Overall compliance with all the 6-h bundle metrics was 36 %. This was associated with lower hospital mortality than non-compliance (22 vs. 32 %, p  < 0.001). After adjusting the crude mortality differences for ICU admission, sepsis status (severe sepsis or septic shock), location of diagnosis, APACHE II score and country, compliance remained independently associated with improvements in hospital mortality for both the 3-h bundle (OR = 0.64 (95 % CI 0.47−0.87), p  = 0.004)) and 6-h bundle (OR = 0.71 (95 % CI 0.56−0.90), p  = 0.005)). Discussion Compliance with all of the evidence-based bundle metrics was not high. Patients whose care included compliance with all of these metrics had a 40 % reduction in the odds of dying in hospital with the 3-h bundle and 36 % for the 6-h bundle.

Purpose Our objective was to revise the definition of acute respiratory distress syndrome (ARDS) using a conceptual model incorporating reliability and validity, and a novel iterative approach with formal evaluation of the definition. Methods The European Society of Intensive Care Medicine identified three chairs with broad expertise in ARDS who selected the participants and created the agenda. After 2 days of consensus discussions a draft definition was developed, which then underwent empiric evaluation followed by consensus revision. Results The Berlin Definition of ARDS maintains a link to prior definitions with diagnostic criteria of timing, chest imaging, origin of edema, and hypoxemia. Patients may have ARDS if the onset is within 1 week of a known clinical insult or new/worsening respiratory symptoms. For the bilateral opacities on chest radiograph criterion, a reference set of chest radiographs has been developed to enhance inter-observer reliability. The pulmonary artery wedge pressure criterion for hydrostatic edema was removed, and illustrative vignettes were created to guide judgments about the primary cause of respiratory failure. If no risk factor for ARDS is apparent, however, objective evaluation (e.g., echocardiography) is required to help rule out hydrostatic edema. A minimum level of positive end-expiratory pressure and mutually exclusive PaO 2 /FiO 2 thresholds were chosen for the different levels of ARDS severity (mild, moderate, severe) to better categorize patients with different outcomes and potential responses to therapy. Conclusions This panel addressed some of the limitations of the prior ARDS definition by incorporating current data, physiologic concepts, and clinical trials results to develop the Berlin definition, which should facilitate case recognition and better match treatment options to severity in both research trials and clinical practice.

Purpose To determine the association between compliance with the Surviving Sepsis Campaign (SSC) performance bundles and mortality. Design Compliance with the SSC performance bundles, which are based on the 2004 SSC guidelines, was measured in 29,470 subjects entered into the SSC database from January 1, 2005 through June 30, 2012. Compliance was defined as evidence that all bundle elements were achieved. Setting Two hundred eighteen community, academic, and tertiary care hospitals in the United States, South America, and Europe. Patients Patients from the emergency department, medical and surgical wards, and ICU who met diagnosis criteria for severe sepsis and septic shock. Methods A multifaceted, collaborative change intervention aimed at facilitating adoption of the SSC resuscitation and management bundles was introduced. Compliance with the SSC bundles and associated mortality rate was the primary outcome variable. Results Overall lower mortality was observed in high (29.0 %) versus low (38.6 %) resuscitation bundle compliance sites ( p  < 0.001) and between high (33.4 %) and low (32.3 %) management bundle compliance sites ( p  = 0.039). Hospital mortality rates dropped 0.7 % per site for every 3 months (quarter) of participation ( p  < 0.001). Hospital and intensive care unit length of stay decreased 4 % (95 % CI 1–7 %; p  = 0.012) for every 10 % increase in site compliance with the resuscitation bundle. Conclusions This analysis demonstrates that increased compliance with sepsis performance bundles was associated with a 25 % relative risk reduction in mortality rate. Every 10 % increase in compliance and additional quarter of participation in the SSC initiative was associated with a significant decrease in the odds ratio for hospital mortality. These results demonstrate that performance metrics can drive change in clinical behavior, improve quality of care, and may decrease mortality in patients with severe sepsis and septic shock.

Serious infections such as endocarditis due to extremely drug-resistance gram-negative bacteria are an increasing challenge. Here, we present successful adjunctive use of cefiderocol for a patient with persistently bacteremic healthcare-associated native aortic valve endocarditis due to an extended-spectrum beta-lactamase–positive Pseudomonas aeruginosa susceptible in vitro only to colistin, following failure of conventional therapeutic options.

Prognostication is an essential tool for risk adjustment and decision making in the intensive care unit (ICU). Research into prognostication in ICU has so far been limited to data from admission or the first 24 hours. Most ICU admissions last longer than this, decisions are made throughout an admission, and some admissions are explicitly intended as time-limited prognostic trials. Despite this, temporal changes in prognostic ability during ICU admission has received little attention to date. Current predictive models, in the form of prognostic clinical tools, are typically derived from linear models and do not explicitly handle incremental information from trends. Machine learning (ML) allows predictive models to be developed which use non-linear predictors and complex interactions between variables, thus allowing incorporation of trends in measured variables over time; this has made it possible to investigate prognosis throughout an admission. This study uses ML to assess the predictability of ICU mortality as a function of time. Logistic regression against physiological data alone outperformed APACHE-II and demonstrated several important interactions including between lactate & noradrenaline dose, between lactate & MAP, and between age & MAP consistent with the current sepsis definitions. ML models consistently outperformed logistic regression with Deep Learning giving the best results. Predictive power was maximal on the second day and was further improved by incorporating trend data. Using a limited range of physiological and demographic variables, the best machine learning model on the first day showed an area under the receiver-operator characteristic curve (AUC) of 0.883 (σ = 0.008), compared to 0.846 (σ = 0.010) for a logistic regression from the same predictors and 0.836 (σ = 0.007) for a logistic regression based on the APACHE-II score. Adding information gathered on the second day of admission improved the maximum AUC to 0.895 (σ = 0.008). Beyond the second day, predictive ability declined. This has implications for decision making in intensive care and provides a justification for time-limited trials of ICU therapy; the assessment of prognosis over more than one day may be a valuable strategy as new information on the second day helps to differentiate outcomes. New ML models based on trend data beyond the first day could greatly improve upon current risk stratification tools.

Objective The Surviving Sepsis Campaign (SSC or “the Campaign”) developed guidelines for management of severe sepsis and septic shock. A performance improvement initiative targeted changing clinical behavior (process improvement) via bundles based on key SSC guideline recommendations on process improvement and patient outcomes. Design and setting A multifaceted intervention to facilitate compliance with selected guideline recommendations in the ICU, ED, and wards of individual hospitals and regional hospital networks was implemented voluntarily in the US, Europe, and South America. Elements of the guidelines were “bundled” into two sets of targets to be completed within 6 h and within 24 h. An analysis was conducted on data submitted from January 2005 through March 2008. Main results Data from 15,022 subjects at 165 sites were analyzed to determine the compliance with bundle targets and association with hospital mortality. Compliance with the entire resuscitation bundle increased linearly from 10.9% in the first site quarter to 31.3% by the end of 2 years ( P  < 0.0001). Compliance with the entire management bundle started at 18.4% in the first quarter and increased to 36.1% by the end of 2 years ( P  = 0.008). Compliance with all bundle elements increased significantly, except for inspiratory plateau pressure, which was high at baseline. Unadjusted hospital mortality decreased from 37 to 30.8% over 2 years ( P  = 0.001). The adjusted odds ratio for mortality improved the longer a site was in the Campaign, resulting in an adjusted absolute drop of 0.8% per quarter and 5.4% over 2 years (95% CI, 2.5–8.4%). Conclusions The Campaign was associated with sustained, continuous quality improvement in sepsis care. Although not necessarily cause and effect, a reduction in reported hospital mortality rates was associated with participation. The implications of this study may serve as an impetus for similar improvement efforts.