Literature DB >> 14530857

Decisions to forgo life-sustaining therapy in ICU patients independently predict hospital death.

Elie Azoulay1, Frédéric Pochard, Maité Garrouste-Orgeas, Delphine Moreau, Laurent Montesino, Christophe Adrie, Arnaud de Lassence, Yves Cohen, Jean-François Timsit.   

Abstract

OBJECTIVE: More than one-half the deaths of patients admitted to intensive care units (ICUs) occur after a decision to forgo life-sustaining therapy (DFLST). Although DFLSTs typically occur in patients with severe comorbidities and intractable acute medical disorders, other factors may influence the likelihood of DFLSTs. The objectives of this study were to describe the factors and mortality associated with DFLSTs and to evaluate the potential independent impact of DFLSTs on hospital mortality. DESIGN AND
SETTING: Prospective multicenter 2-year study in six ICUs in France. PATIENTS: The 1,698 patients admitted to the participating ICUs during the study period, including 295 (17.4%) with DFLSTs. MEASUREMENTS AND
RESULTS: The impact of DFLSTs on hospital mortality was evaluated using a model that incorporates changes in daily logistic organ dysfunction scores during the first ICU week. Univariate predictors of death included demographic factors (age, gender), comorbidities, reasons for ICU admission, severity scores at ICU admission, and DFLSTs. In a stepwise Cox model five variables independently predicted mortality: good chronic health status (hazard ratio, 0.479), SAPS II score higher than 39 (2.05), chronic liver disease (1.463), daily logistic organ dysfunction score (1.357 per point), and DFLSTs (1.887).
CONCLUSIONS: DFLSTs remain independently associated with death after adjusting on comorbidities and severity at ICU admission and within the first ICU week. This highlights the need for further clarifying the many determinants of DFLSTs and for routinely collecting DFLSTs in studies with survival as the outcome variable of interest.

Entities:  

Keywords:  Death and Euthanasia; Empirical Approach

Mesh:

Year:  2003        PMID: 14530857     DOI: 10.1007/s00134-003-1989-3

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  42 in total

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  26 in total

Review 1.  Year in review in intensive care medicine-2003. Part 3: intensive care unit organization, scoring, quality of life, ethics, neonatal and pediatrics, and experimental.

Authors:  Edward Abraham; Peter Andrews; Massimo Antonelli; Laurent Brochard; Christian Brun-Buisson; Geoffrey Dobb; Jean-Yves Fagon; Johan Groeneveld; Jordi Mancebo; Philipp Metnitz; Stefano Nava; Michael Pinsky; Peter Radermacher; Marco Ranieri; Christian Richard; Robert Tasker; Benoit Vallet
Journal:  Intensive Care Med       Date:  2004-06-26       Impact factor: 17.440

2.  Comparison of APACHE III, APACHE IV, SAPS 3, and MPM0III and influence of resuscitation status on model performance.

Authors:  Mark T Keegan; Ognjen Gajic; Bekele Afessa
Journal:  Chest       Date:  2012-10       Impact factor: 9.410

3.  Pattern of end-of-life decisions in two Tunisian intensive care units: the role of culture and intensivists' training.

Authors:  Islem Ouanes; Néji Stambouli; Fahmi Dachraoui; Lamia Ouanes-Besbes; Samir Toumi; Faouzi Ben Salem; Mourad Gahbiche; Fekri Abroug
Journal:  Intensive Care Med       Date:  2012-02-11       Impact factor: 17.440

4.  [Chronic critical disease--what does the long-term patient imply for intensive medicine].

Authors:  Jürgen Graf; Uwe Janssens
Journal:  Wien Klin Wochenschr       Date:  2006-07       Impact factor: 1.704

5.  Decision-making process, outcome, and 1-year quality of life of octogenarians referred for intensive care unit admission.

Authors:  Maité Garrouste-Orgeas; Jean-François Timsit; Luc Montuclard; Alain Colvez; Olivier Gattolliat; François Philippart; Guillaume Rigal; Benoit Misset; Jean Carlet
Journal:  Intensive Care Med       Date:  2006-05-09       Impact factor: 17.440

6.  Respective impact of no escalation of treatment, withholding and withdrawal of life-sustaining treatment on ICU patients' prognosis: a multicenter study of the Outcomerea Research Group.

Authors:  Alexandre Lautrette; Maïté Garrouste-Orgeas; Pierre-Marie Bertrand; Dany Goldgran-Toledano; Samir Jamali; Virginie Laurent; Laurent Argaud; Carole Schwebel; Bruno Mourvillier; Michaël Darmon; Stéphane Ruckly; Anne-Sylvie Dumenil; Virginie Lemiale; Bertrand Souweine; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2015-07-07       Impact factor: 17.440

7.  Factors that contribute to physician variability in decisions to limit life support in the ICU: a qualitative study.

Authors:  Michael E Wilson; Lori M Rhudy; Beth A Ballinger; Ann N Tescher; Brian W Pickering; Ognjen Gajic
Journal:  Intensive Care Med       Date:  2013-04-05       Impact factor: 17.440

8.  Reasons, considerations, difficulties and documentation of end-of-life decisions in European intensive care units: the ETHICUS Study.

Authors:  Charles L Sprung; Thomas Woodcock; Peter Sjokvist; Bara Ricou; Hans-Henrik Bulow; Anne Lippert; Paulo Maia; Simon Cohen; Mario Baras; Seppo Hovilehto; Didier Ledoux; Dermot Phelan; Elisabet Wennberg; Wolfgang Schobersberger
Journal:  Intensive Care Med       Date:  2007-11-09       Impact factor: 17.440

9.  Withholding and withdrawal of life-sustaining treatment in a Lebanese intensive care unit: a prospective observational study.

Authors:  Alexandre Yazigi; Moussa Riachi; Georges Dabbar
Journal:  Intensive Care Med       Date:  2005-03-05       Impact factor: 17.440

10.  Model for predicting short-term mortality of severe sepsis.

Authors:  Christophe Adrie; Adrien Francais; Antonio Alvarez-Gonzalez; Roman Mounier; Elie Azoulay; Jean-Ralph Zahar; Christophe Clec'h; Dany Goldgran-Toledano; Laure Hammer; Adrien Descorps-Declere; Samir Jamali; Jean-Francois Timsit
Journal:  Crit Care       Date:  2009-05-19       Impact factor: 9.097

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