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      The epidemiology of septic shock in French intensive care units: the prospective multicenter cohort EPISS study

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          Abstract

          Introduction

          To provide up-to-date information on the prognostic factors associated with 28-day mortality in a cohort of septic shock patients in intensive care units (ICUs).

          Methods

          Prospective, multicenter, observational cohort study in ICUs from 14 French general (non-academic) and university teaching hospitals. All consecutive patients with septic shock admitted between November 2009 and March 2011 were eligible for inclusion. We prospectively recorded data regarding patient characteristics, infection, severity of illness, life support therapy, and discharge.

          Results

          Among 10,941 patients admitted to participating ICUs between October 2009 and September 2011, 1,495 (13.7%) patients presented inclusion criteria for septic shock and were included. Invasive mechanical ventilation was needed in 83.9% ( n = 1248), inotropes in 27.7% ( n = 412), continuous renal replacement therapy in 32.5% ( n = 484), and hemodialysis in 19.6% ( n = 291). Mortality at 28 days was 42% ( n = 625). Variables associated with time to mortality, right-censored at day 28: age (for each additional 10 years) (hazard ratio (HR) = 1.29; 95% confidence interval (CI): 1.20-1.38), immunosuppression (HR = 1.63; 95%CI: 1.37-1.96), Knaus class C/D score versus class A/B score (HR = 1.36; 95%CI:1.14-1.62) and Sepsis-related Organ Failure Assessment (SOFA) score (HR = 1.24 for each additional point; 95%CI: 1.21-1.27). Patients with septic shock and renal/urinary tract infection had a significantly longer time to mortality (HR = 0.56; 95%CI: 0.42-0.75).

          Conclusion

          Our observational data of consecutive patients from real-life practice confirm that septic shock is common and carries high mortality in general ICU populations. Our results are in contrast with the clinical trial setting, and could be useful for healthcare planning and clinical study design.

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          Most cited references25

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          A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.

          To develop and validate a new Simplified Acute Physiology Score, the SAPS II, from a large sample of surgical and medical patients, and to provide a method to convert the score to a probability of hospital mortality. The SAPS II and the probability of hospital mortality were developed and validated using data from consecutive admissions to 137 adult medical and/or surgical intensive care units in 12 countries. The 13,152 patients were randomly divided into developmental (65%) and validation (35%) samples. Patients younger than 18 years, burn patients, coronary care patients, and cardiac surgery patients were excluded. Vital status at hospital discharge. The SAPS II includes only 17 variables: 12 physiology variables, age, type of admission (scheduled surgical, unscheduled surgical, or medical), and three underlying disease variables (acquired immunodeficiency syndrome, metastatic cancer, and hematologic malignancy). Goodness-of-fit tests indicated that the model performed well in the developmental sample and validated well in an independent sample of patients (P = .883 and P = .104 in the developmental and validation samples, respectively). The area under the receiver operating characteristic curve was 0.88 in the developmental sample and 0.86 in the validation sample. The SAPS II, based on a large international sample of patients, provides an estimate of the risk of death without having to specify a primary diagnosis. This is a starting point for future evaluation of the efficiency of intensive care units.
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            American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference: definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis.

            (1992)
            To define the terms "sepsis" and "organ failure" in a precise manner. Review of the medical literature and the use of expert testimony at a consensus conference. American College of Chest Physicians (ACCP) headquarters in Northbrook, IL. Leadership members of ACCP/Society of Critical Care Medicine (SCCM). An ACCP/SCCM Consensus Conference was held in August of 1991 with the goal of agreeing on a set of definitions that could be applied to patients with sepsis and its sequelae. New definitions were offered for some terms, while others were discarded. Broad definitions of sepsis and the systemic inflammatory response syndrome were proposed, along with detailed physiologic variables by which a patient could be categorized. Definitions for severe sepsis, septic shock, hypotension, and multiple organ dysfunction syndrome were also offered. The use of severity scoring methods were recommended when dealing with septic patients as an adjunctive tool to assess mortality. Appropriate methods and applications for the use and testing of new therapies were recommended. The use of these terms and techniques should assist clinicians and researchers who deal with sepsis and its sequelae.
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              Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome.

              To develop an objective scale to measure the severity of the multiple organ dysfunction syndrome as an outcome in critical illness. Systematic literature review; prospective cohort study. Surgical intensive care unit (ICU) of a tertiary-level teaching hospital. All patients (n = 692) admitted for > 24 hrs between May 1988 and March 1990. None. Computerized database review of MEDLINE identified clinical studies of multiple organ failure that were published between 1969 and 1993. Variables from these studies were evaluated for construct and content validity to identify optimal descriptors of organ dysfunction. Clinical and laboratory data were collected daily to evaluate the performance of these variables individually and in aggregate as an organ dysfunction score. Seven systems defined the multiple organ dysfunction syndrome in more than half of the 30 published reports reviewed. Descriptors meeting criteria for construct and content validity could be identified for five of these seven systems: a) the respiratory system (Po2/FIO2 ratio); b) the renal system (serum creatinine concentration); c) the hepatic system (serum bilirubin concentration); d) the hematologic system (platelet count); and e) the central nervous system (Glasgow Coma Scale). In the absence of an adequate descriptor of cardiovascular dysfunction, we developed a new variable, the pressure-adjusted heart rate, which is calculated as the product of the heart rate and the ratio of central venous pressure to mean arterial pressure. These candidate descriptors of organ dysfunction were then evaluated for criterion validity (ICU mortality rate) using the clinical database. From the first half of the database (the development set), intervals for the most abnormal value of each variable were constructed on a scale from 0 to 4 so that a value of 0 represented essentially normal function and was associated with an ICU mortality rate of or = 50%. These intervals were then tested on the second half of the data set (the validation set). Maximal scores for each variable were summed to yield a Multiple Organ Dysfunction Score (maximum of 24). This score correlated in a graded fashion with the ICU mortality rate, both when applied on the first day of ICU admission as a prognostic indicator and when calculated over the ICU stay as an outcome measure. For the latter, ICU mortality was approximately 25% at 9 to 12 points, 50% at 13 to 16 points, 75% at 17 to 20 points, and 100% at levels of > 20 points. The score showed excellent discrimination, as reflected in areas under the receiver operating characteristic curve of 0.936 in the development set and 0.928 in the validation set. The incremental increase in scores over the course of the ICU stay (calculated as the difference between maximal scores and those scores obtained on the first day [i.e., the delta Multiple Organ Dysfunction Score]) also demonstrated a strong correlation with the ICU mortality rate. In a logistic regression model, this incremental increase in scores accounted for more of the explanatory power than admission severity indices. This multiple organ dysfunction score, constructed using simple physiologic measures of dysfunction in six organ systems, mirrors organ dysfunction as the intensivist sees it and correlates strongly with the ultimate risk of ICU mortality and hospital mortality. The variable, delta Multiple Organ Dysfunction Score, reflects organ dysfunction developing during the ICU stay, which therefore is potentially amenable to therapeutic manipulation. (ABSTRACT TRUNCATED)
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                Author and article information

                Contributors
                Journal
                Crit Care
                Crit Care
                Critical Care
                BioMed Central
                1364-8535
                1466-609X
                2013
                25 April 2013
                : 17
                : 2
                : R65
                Affiliations
                [1 ]Service de réanimation médicale, Centre Hospitalier Universitaire Dijon, 14 rue Paul Gaffarel, 21970 Dijon, France
                [2 ]Centre d'investigation clinique (INSERM CIE 1), 7 Boulevard Jeanne d'Arc, 21079 Dijon, France
                [3 ]Service de réanimation polyvalente, Centre Hospitalier, 64 avenue du Professeur Leriche, 67504 Haguenau, France
                [4 ]Service de réanimation Médicale, Centre Hospitalier Universitaire-Nouvel Hôpital Civil, 1 Place de l'Hopital, 67000 Strasbourg, France
                [5 ]Service de réanimation médicale, Centre Hospitalier Universitaire Jean-Minjoz, 8 Boulevard Fleming, 25000 Besançon, France
                [6 ]Service de réanimation médicale, Centre Hospitalier Universitaire- Hôpital Hautepierre, 1 Avenue Moliere, 67098 Strasbourg, France
                [7 ]Service de réanimation médicale, Centre Hospitalier Universitaire- Hôpital Central, 29 Avenue du Maréchal de Lattre de Tassigny, 54000 Nancy, France
                [8 ]Service de réanimation médicale, Centre Hospitalier Universitaire, 45 Rue Cognacq Jay, 51092 Reims, France
                [9 ]Service de réanimation polyvalente, Centre Hospitalier, 1 Place Sainte-Croix, 57000 Metz, France
                [10 ]Service de réanimation médicale, Centre Hospitalier Universitaire- Hôpital Brabois, 5 Rue du Morvan, 54500 Vandœuvre-lès-Nancy, France
                [11 ]Service de réanimation médicale, Centre Hospitalier, 2A Rue Jura, 68100 Mulhouse, France
                [12 ]Service de réanimation médicale, Centre Hospitalier, 2 Rue René Heymes, 70000 Vesoul, France
                [13 ]Service de réanimation polyvalente, Centre Hospitalier, 14, rue de Mulhouse, 90016 Belfort, France
                [14 ]Service de réanimation polyvalente, Centre Hospitalier, 2 rue du Docteur Flamand, 25200 Montbéliard, France
                [15 ]Service de réanimation polyvalente, Centre Hospitalier, 39 Avenue de la Liberté, 68000 Colmar, France Presented in part the at the 31st International Symposium on Intensive Care and Emergency Medicine
                Article
                cc12598
                10.1186/cc12598
                4056892
                23561510
                18d7cccd-bb12-4a23-9af0-5715588d8fba
                Copyright © 2013 Quenot et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 October 2012
                : 15 January 2013
                : 5 April 2013
                Categories
                Research

                Emergency medicine & Trauma
                Emergency medicine & Trauma

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