Literature DB >> 2196410

Do objective estimates of chances for survival influence decisions to withhold or withdraw treatment? The French Multicentric Group of ICU Research.

W A Knaus1, A Rauss, A Alperovitch, J R Le Gall, P Loirat, E Patois, S E Marcus.   

Abstract

The authors studied the impact on clinical decision making of providing feedback of objective prognostic information describing the probability of survival for ICU patients with multiple organ system failure (OSF). The prognostic estimates, derived from a control period (1), were to be provided on a daily basis to physicians providing treatment in 25 French ICUs during a subsequent experimental period (2). The types of, frequencies of, and reasons for decisions to limit or stop treatment in the two periods were compared. In the experimental period 2, 17 ICUs participated in the feedback study. Within these 17 units, there was a small but significant (p less than 0.05) increase in decisions to stop active treatment and provide comfort care that was limited to patients with three or more OSFs. There was no change in decision making in the eight units that did not participate in the feedback study. Although these results suggest a direct causal relationship between the provision of objective prognostic data and changes in physician decision making, the small increase in comfort care decisions (n = 14) between period 1 and period 2 and the fact that only 17 of the 25 original units participated in the feedback study make it difficult to eliminate other influences. There was no indication in this study, however, that explicit provision of prognostic data led to a sense of therapeutic futility.

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Year:  1990        PMID: 2196410     DOI: 10.1177/0272989X9001000303

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  8 in total

1.  Impact of an intensive communication strategy on end-of-life practices in the intensive care unit.

Authors:  J P Quenot; J P Rigaud; S Prin; S Barbar; A Pavon; M Hamet; N Jacquiot; B Blettery; C Hervé; P E Charles; G Moutel
Journal:  Intensive Care Med       Date:  2011-11-30       Impact factor: 17.440

Review 2.  Global variability in withholding and withdrawal of life-sustaining treatment in the intensive care unit: a systematic review.

Authors:  N M Mark; S G Rayner; N J Lee; J R Curtis
Journal:  Intensive Care Med       Date:  2015-04-23       Impact factor: 17.440

3.  Predicting outcome from mechanical ventilation.

Authors:  W A Knaus
Journal:  West J Med       Date:  1993-12

4.  Predicting outcome in very low birthweight infants using an objective measure of illness severity and cranial ultrasound scanning.

Authors:  P W Fowlie; W O Tarnow-Mordi; C R Gould; D Strang
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  1998-05       Impact factor: 5.747

Review 5.  Challenges in end-of-life care in the ICU. Statement of the 5th International Consensus Conference in Critical Care: Brussels, Belgium, April 2003.

Authors:  Jean Carlet; Lambertus G Thijs; Massimo Antonelli; Joan Cassell; Peter Cox; Nicholas Hill; Charles Hinds; Jorge Manuel Pimentel; Konrad Reinhart; Boyd Taylor Thompson
Journal:  Intensive Care Med       Date:  2004-04-20       Impact factor: 17.440

6.  Limitations of the pediatric risk of mortality score in assessing children with acute renal failure.

Authors:  C A Fargason; C B Langman
Journal:  Pediatr Nephrol       Date:  1993-12       Impact factor: 3.714

Review 7.  Does Calculated Prognostic Estimation Lead to Different Outcomes Compared With Experience-Based Prognostication in the ICU? A Systematic Review.

Authors:  Melissa Basile; Anne Press; Alexander C Adia; Jason J Wang; Saori Wendy Herman; Janice Lester; Nisha Parikh; Negin Hajizadeh
Journal:  Crit Care Explor       Date:  2019-02-01

Review 8.  Communication tools for end-of-life decision-making in the intensive care unit: a systematic review and meta-analysis.

Authors:  Simon J W Oczkowski; Han-Oh Chung; Louise Hanvey; Lawrence Mbuagbaw; John J You
Journal:  Crit Care       Date:  2016-04-09       Impact factor: 9.097

  8 in total

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