Literature DB >> 18198259

Effect of decisions to withhold life support on prolonged survival.

Yen-Yuan Chen1, Alfred F Connors2, Allan Garland3.   

Abstract

BACKGROUND: The effect on long-term mortality of decisions made to withhold life-supporting therapies (LST) for critically ill patients is unclear. We hypothesized that mortality 60 days after ICU admission is not influenced by a decision to withhold use of LST in the context of otherwise providing all indicated care.
METHODS: We studied 2,211 consecutive, initial admissions to the adult, medical ICU of a university-affiliated teaching hospital. To achieve balanced groups for comparing outcomes, we created a multivariable regression model for the probability (propensity score [PS]) of having an order initiated in the ICU to withhold LST. Each of the 201 patients with such an order was matched to the patient without such an order having the closest PS; mortality rates were compared between the matched pairs. Cox survival analysis was performed to extend the main analysis.
RESULTS: The matched pairs were well balanced with respect to all of the potentially confounding variables. Sixty days after ICU admission, 50.5% of patients who had an order initiated in the ICU to withhold life support had died, compared to 25.8% of those lacking such orders (risk ratio, 2.0; 95% confidence interval, 1.5 to 2.6). Survival analysis indicated that the difference in mortality between the two groups continued to increase for approximately 1 year.
CONCLUSION: Contrary to our hypothesis, decisions made in the ICU to withhold LST were associated with increased mortality rate to at least 60 days after ICU admission.

Entities:  

Mesh:

Year:  2008        PMID: 18198259     DOI: 10.1378/chest.07-1500

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  16 in total

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2.  High burden of palliative needs among older intensive care unit survivors transferred to post-acute care facilities. a single-center study.

Authors:  Matthew R Baldwin; Hannah Wunsch; Paul A Reyfman; Wazim R Narain; Craig D Blinderman; Neil W Schluger; M Cary Reid; Mathew S Maurer; Nathan Goldstein; David J Lederer; Peter Bach
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3.  The self-fulfilling prophecy in intensive care.

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Journal:  Theor Med Bioeth       Date:  2009

4.  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.

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Journal:  Intensive Care Med       Date:  2015-07-07       Impact factor: 17.440

5.  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

6.  Association between Do Not Resuscitate/Do Not Intubate Status and Resident Physician Decision-making. A National Survey.

Authors:  Elizabeth K Stevenson; Hashim M Mehter; Allan J Walkey; Renda Soylemez Wiener
Journal:  Ann Am Thorac Soc       Date:  2017-04

7.  Association between hospital rates of early Do-Not-Resuscitate orders and favorable neurological survival among survivors of inhospital cardiac arrest.

Authors:  Timothy J Fendler; John A Spertus; Kevin F Kennedy; Paul S Chan
Journal:  Am Heart J       Date:  2017-08-07       Impact factor: 4.749

8.  Why do patients agree to a "Do not resuscitate" or "Full code" order? Perspectives of medical inpatients.

Authors:  James Downar; Tracy Luk; Robert W Sibbald; Tatiana Santini; Joseph Mikhael; Hershl Berman; Laura Hawryluck
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Review 9.  Limitation of Life-Sustaining Care in the Critically Ill: A Systematic Review of the Literature.

Authors:  Katie McPherson; W Graham Carlos; Thomas W Emmett; James E Slaven; Alexia M Torke
Journal:  J Hosp Med       Date:  2019-05       Impact factor: 2.960

10.  Results from the national sepsis practice survey: predictions about mortality and morbidity and recommendations for limitation of care orders.

Authors:  James M O'Brien; Scott K Aberegg; Naeem A Ali; Gregory B Diette; Stanley Lemeshow
Journal:  Crit Care       Date:  2009-06-23       Impact factor: 9.097

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