Literature DB >> 28296682

Causes and Characteristics of Death in Intensive Care Units: A Prospective Multicenter Study.

Jean-Christophe Orban1, Yannick Walrave, Nicolas Mongardon, Bernard Allaouchiche, Laurent Argaud, Frédéric Aubrun, Geneviève Barjon, Jean-Michel Constantin, Gilles Dhonneur, Jacques Durand-Gasselin, Hervé Dupont, Michèle Genestal, Chloé Goguey, Philippe Goutorbe, Bertrand Guidet, Hervé Hyvernat, Samir Jaber, Jean-Yves Lefrant, Yannick Mallédant, Jerôme Morel, Alexandre Ouattara, Nicolas Pichon, Anne-Marie Guérin Robardey, Michel Sirodot, Alexandre Theissen, Sandrine Wiramus, Laurent Zieleskiewicz, Marc Leone, Carole Ichai.   

Abstract

BACKGROUND: Different modes of death are described in selected populations, but few data report the characteristics of death in a general intensive care unit population. This study analyzed the causes and characteristics of death of critically ill patients and compared anticipated death patients to unexpected death counterparts.
METHODS: An observational multicenter cohort study was performed in 96 intensive care units. During 1 yr, each intensive care unit was randomized to participate during a 1-month period. Demographic data, characteristics of organ failures (Sequential Organ Failure Assessment subscore greater than or equal to 3), and organ supports were collected on all patients who died in the intensive care unit. Modes of death were defined as anticipated (after withdrawal or withholding of treatment or brain death) or unexpected (despite engagement of full-level care or sudden refractory cardiac arrest).
RESULTS: A total of 698 patients were included during the study period. At the time of death, 84% had one or more organ failures (mainly hemodynamic) and 89% required at least one organ support (mainly mechanical ventilation). Deaths were considered unexpected and anticipated in 225 and 473 cases, respectively. Compared to its anticipated counterpart, unexpected death occurred earlier (1 day vs. 5 days; P< 0.001) and had fewer organ failures (1 [1 to 2] vs. 1 [1 to 3]; P< 0.01) and more organ supports (2 [2 to 3] vs. 1 [1 to 2]; P< 0.01). Withdrawal or withholding of treatments accounted for half of the deaths.
CONCLUSIONS: In a general intensive care unit population, the majority of patients present with at least one organ failure at the time of death. Anticipated and unexpected deaths represent two different modes of dying and exhibit profiles reflecting the different pathophysiologic underlying mechanisms.

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Year:  2017        PMID: 28296682     DOI: 10.1097/ALN.0000000000001612

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  16 in total

1.  Angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker use prior to medical intensive care unit admission and in-hospital mortality: propensity score-matched cohort study.

Authors:  Daiki Kobayashi; Nagato Kuriyama; Fumitaka Yanase; Osamu Takahashi; Kazuhiro Aoki; Yasuhiro Komatsu
Journal:  J Nephrol       Date:  2019-04-01       Impact factor: 3.902

2.  Reply to Tremlett and Kanthimathinathan and to Koopman and Kneyber.

Authors:  Robinder G Khemani; Kaushik Parvathaneni; Nadir Yehya; Anoopindar K Bhalla; Neal J Thomas; Christopher J L Newth
Journal:  Am J Respir Crit Care Med       Date:  2018-09-15       Impact factor: 21.405

3.  Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study.

Authors:  Fernanda G de M Soares Pinheiro; Eduesley Santana Santos; Íkaro Daniel de C Barreto; Carleara Weiss; Andreia C Vaez; Jussiely C Oliveira; Matheus S Melo; Francilene A Silva
Journal:  Crit Care Res Pract       Date:  2020-08-01

4.  Withholding or withdrawing of life-sustaining therapy in older adults (≥ 80 years) admitted to the intensive care unit.

Authors:  Bertrand Guidet; Hans Flaatten; Ariane Boumendil; Alessandro Morandi; Finn H Andersen; Antonio Artigas; Guido Bertolini; Maurizio Cecconi; Steffen Christensen; Loredana Faraldi; Jesper Fjølner; Christian Jung; Brian Marsh; Rui Moreno; Sandra Oeyen; Christina Agwald Öhman; Bernardo Bollen Pinto; Ivo W Soliman; Wojciech Szczeklik; Andreas Valentin; Ximena Watson; Tilemachos Zafeiridis; Dylan W De Lange
Journal:  Intensive Care Med       Date:  2018-05-17       Impact factor: 17.440

5.  Accelerated Aging and Clearance of Host Anti-inflammatory Enzymes by Discrete Pathogens Fuels Sepsis.

Authors:  Won Ho Yang; Douglas M Heithoff; Peter V Aziz; Benjamin Haslund-Gourley; Julia S Westman; Sonoko Narisawa; Anthony B Pinkerton; José Luis Millán; Victor Nizet; Michael J Mahan; Jamey D Marth
Journal:  Cell Host Microbe       Date:  2018-10-10       Impact factor: 21.023

6.  Bereavement interventions to support informal caregivers in the intensive care unit: a systematic review.

Authors:  Amanda Roze des Ordons; Kirsten M Fiest; Stephana J Moss; Krista Wollny; Therese G Poulin; Deborah J Cook; Henry T Stelfox
Journal:  BMC Palliat Care       Date:  2021-05-12       Impact factor: 3.234

7.  Semi-quantitative visual assessment of chest radiography is associated with clinical outcomes in critically ill patients.

Authors:  Stefanie E Mason; Paul B Dieffenbach; Joshua A Englert; Angela A Rogers; Anthony F Massaro; Laura E Fredenburgh; Angelica Higuera; Mayra Pinilla-Vera; Marta Vilas; Raul San Jose Estepar; George R Washko; Rebecca M Baron; Samuel Y Ash
Journal:  Respir Res       Date:  2019-10-12

8.  Self-Care for Health Professionals During Coronavirus Disease 2019 Crisis.

Authors:  Judith Haefner
Journal:  J Nurse Pract       Date:  2021-01-05       Impact factor: 0.767

9.  Risk factors for death in septic shock: A retrospective cohort study comparing trauma and non-trauma patients.

Authors:  Sophie Medam; Laurent Zieleskiewicz; Gary Duclos; Karine Baumstarck; Anderson Loundou; Julie Alingrin; Emmanuelle Hammad; Coralie Vigne; François Antonini; Marc Leone
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

10.  Non-invasive ventilation as a strategy for weaning from invasive mechanical ventilation: a systematic review and Bayesian meta-analysis.

Authors:  Joyce Yeung; Keith Couper; Elizabeth G Ryan; Simon Gates; Nick Hart; Gavin D Perkins
Journal:  Intensive Care Med       Date:  2018-10-31       Impact factor: 17.440

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