Arnaud Pavon1, Christine Binquet, Fady Kara, Olivier Martinet, Frederique Ganster, Jean-Christophe Navellou, Vincent Castelain, Damien Barraud, Joel Cousson, Guillaume Louis, Pierre Perez, Khaldoun Kuteifan, Alain Noirot, Julio Badie, Chaouki Mezher, Henry Lessire, Catherine Quantin, Michal Abrahamowicz, Jean-Pierre Quenot. 1. 1Service de réanimation médicale, Centre Hospitalier Universitaire, Dijon, France. 2CHU de Dijon, Centre d'Investigation Clinique-Epidémiologie Clinique/Essais Cliniques, Dijon, France. 3Service de réanimation polyvalente, Centre Hospitalier, Haguenau, France. 4Service de réanimation Médicale, Centre Hospitalier Universitaire Hôpital Civil, Strasbourg, France. 5Service de réanimation médicale, Centre Hospitalier Universitaire, Besançon, France. 6Service de réanimation médicale, Centre Hospitalier Universitaire Hautepierre, Strasbourg, France. 7Service de réanimation médicale, Centre Hospitalier Universitaire Hôpital Central, Nancy, France. 8Service de réanimation médicale, Centre Hospitalier Universitaire, Reims, France. 9Service de réanimation polyvalente, Centre Hospitalier, Metz, France. 10Service de réanimation médicale, Centre Hospitalier Universitaire Brabois, Nancy, France. 11Service de réanimation médicale, Centre Hospitalier, Mulhouse, France. 12Service de réanimation médicale, Centre Hospitalier, Vesoul, France. 13Service de réanimation polyvalente, Centre Hospitalier, Belfort, France. 14Service de réanimation polyvalente, Centre Hospitalier, Montbéliard, France. 15Service de réanimation polyvalente, Centre Hospitalier, Colmar, France. 16Institut National de la Santé et de la Recherche Médicale, U866, Dijon, France. 17Service de Biostatistique et d'Informatique Médicale (DIM), Centre Hospitalier Universitaire, Dijon, France. 18Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada. 19Université de l'Océan Indien, St. Denis, Ile de la Réunion, France.
Abstract
OBJECTIVES: To investigate mortality of ICU patients over a 3-month period after an initial episode of septic shock and to identify factors associated with mortality. DESIGN: Prospective multicenter observational cohort study. SETTING: Fourteen ICUs from 10 French nonacademic and university teaching hospitals. PATIENTS: All consecutive adult patients with septic shock admitted between October 2009 and September 2011 were eligible. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Multivariable analyses were performed using a Cox proportional hazard model and a flexible extension of the Cox model. In total, 1,495 of 10,941 patients (13.7%) had septic shock and 1,488 patients (99.5%) were included. Median age was 68 years (range, 58-78 yr). The majority of admissions (84%) were medical. Median (interquartile range) Simplified Acute Physiological Score II and Sequential Organ Failure Assessment were, respectively, 56 (45-70) and 11 (9-14). ICU and hospital mortality were, respectively, 39.4% and 48.6%. At 3 months, 776 patients (52.2%) had died. Factors significantly associated with increased risk of death in the multivariable Cox model were older age, male sex, comorbidities (immune deficiency, cirrhosis), Knaus C/D score, and high Sequential Organ Failure Assessment score. Flexible analyses indicated that the impact of Sequential Organ Failure Assessment score was greatest early after septic shock, while the onset of the effect of age, nosocomial infection, and cirrhosis was later. CONCLUSIONS: This is the most recent large-scale epidemiological study to investigate medium-term mortality in nonselected patients hospitalized in the ICU for septic shock. Advances in early management have improved survival at the initial phase, but risk of death persists in the medium term. Flexible modeling techniques yield insights into the profile of the risk of death in the first 3 months.
OBJECTIVES: To investigate mortality of ICU patients over a 3-month period after an initial episode of septic shock and to identify factors associated with mortality. DESIGN: Prospective multicenter observational cohort study. SETTING: Fourteen ICUs from 10 French nonacademic and university teaching hospitals. PATIENTS: All consecutive adult patients with septic shock admitted between October 2009 and September 2011 were eligible. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Multivariable analyses were performed using a Cox proportional hazard model and a flexible extension of the Cox model. In total, 1,495 of 10,941 patients (13.7%) had septic shock and 1,488 patients (99.5%) were included. Median age was 68 years (range, 58-78 yr). The majority of admissions (84%) were medical. Median (interquartile range) Simplified Acute Physiological Score II and Sequential Organ Failure Assessment were, respectively, 56 (45-70) and 11 (9-14). ICU and hospital mortality were, respectively, 39.4% and 48.6%. At 3 months, 776 patients (52.2%) had died. Factors significantly associated with increased risk of death in the multivariable Cox model were older age, male sex, comorbidities (immune deficiency, cirrhosis), Knaus C/D score, and high Sequential Organ Failure Assessment score. Flexible analyses indicated that the impact of Sequential Organ Failure Assessment score was greatest early after septic shock, while the onset of the effect of age, nosocomial infection, and cirrhosis was later. CONCLUSIONS: This is the most recent large-scale epidemiological study to investigate medium-term mortality in nonselected patients hospitalized in the ICU for septic shock. Advances in early management have improved survival at the initial phase, but risk of death persists in the medium term. Flexible modeling techniques yield insights into the profile of the risk of death in the first 3 months.
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