Literature DB >> 21150582

Power and limitations of daily prognostications of death in the medical intensive care unit.

William Meadow1, Anne Pohlman, Laura Frain, Yaya Ren, John Paul Kress, Winnie Teuteberg, Jesse Hall.   

Abstract

OBJECTIVE: We tested the accuracy of predictions of impending death for medical intensive care unit patients, offered daily by their professional medical caretakers.
DESIGN: For 560 medical intensive care unit patients, on each medical intensive care unit day, we asked their attending physicians, fellows, residents, and registered nurses one question: "Do you think this patient will die in the hospital or survive to be discharged?"
RESULTS: We obtained>6,000 predictions on 2018 medical intensive care unit patient days. Seventy-five percent of MICU patients who stayed≥4 days had discordant predictions; that is, at least one caretaker predicted survival, whereas others predicted death before discharge. Only 107 of 206 (52%) patients with a prediction of "death before discharge" actually died in hospital. This number rose to 66% (96 of 145) for patients with 1 day of corroborated (i.e., >1) prediction of "death," and to 84% (79 of 94) with at least 1 unanimous day of predictions of death. However, although positive predictive value rose with increasingly stringent prediction criteria, sensitivity fell so that the area under the receiver-operator characteristic curve did not differ for single, corroborated, or unanimous predictions of death. Subsets of older (>65 yrs) and ventilated medical intensive care unit patients revealed parallel findings.
CONCLUSIONS: 1) Roughly half of all medical intensive care unit patients predicted to die in hospital survived to discharge nonetheless. 2) More highly corroborated predictions had better predictive value; although, approximately 15% of patients survived unexpectedly, even when predicted to die by all medical caretakers.

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Year:  2011        PMID: 21150582     DOI: 10.1097/CCM.0b013e318205df9b

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  27 in total

1.  [Between patient autonomy and the ethics of care : difficult end-of-life decision-making in intensive care].

Authors:  F Erbguth
Journal:  Anaesthesist       Date:  2012-06       Impact factor: 1.041

2.  Estimates of the need for palliative care consultation across united states intensive care units using a trigger-based model.

Authors:  May S Hua; Guohua Li; Craig D Blinderman; Hannah Wunsch
Journal:  Am J Respir Crit Care Med       Date:  2014-02-15       Impact factor: 21.405

3.  Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

Authors:  Gary E Weissman; Rebecca A Hubbard; Lyle H Ungar; Michael O Harhay; Casey S Greene; Blanca E Himes; Scott D Halpern
Journal:  Crit Care Med       Date:  2018-07       Impact factor: 7.598

4.  Six-Month Morbidity and Mortality among Intensive Care Unit Patients Receiving Life-Sustaining Therapy. A Prospective Cohort Study.

Authors:  Michael E Detsky; Michael O Harhay; Dominique F Bayard; Aaron M Delman; Anna E Buehler; Saida A Kent; Isabella V Ciuffetelli; Elizabeth Cooney; Nicole B Gabler; Sarah J Ratcliffe; Mark E Mikkelsen; Scott D Halpern
Journal:  Ann Am Thorac Soc       Date:  2017-10

Review 5.  Aligning use of intensive care with patient values in the USA: past, present, and future.

Authors:  Alison E Turnbull; Gabriel T Bosslet; Erin K Kross
Journal:  Lancet Respir Med       Date:  2019-05-20       Impact factor: 30.700

6.  Time-Limited Trials of Intensive Care for Critically Ill Patients With Cancer: How Long Is Long Enough?

Authors:  Mark G Shrime; Bart S Ferket; Daniel J Scott; Joon Lee; Diana Barragan-Bradford; Tom Pollard; Yaseen M Arabi; Hasan M Al-Dorzi; Rebecca M Baron; M G Myriam Hunink; Leo A Celi; Peggy S Lai
Journal:  JAMA Oncol       Date:  2016-01       Impact factor: 31.777

7.  Surrogate decision makers' interpretation of prognostic information: a mixed-methods study.

Authors:  Lucas S Zier; Peter D Sottile; Seo Yeon Hong; Lisa A Weissfield; Douglas B White
Journal:  Ann Intern Med       Date:  2012-03-06       Impact factor: 25.391

8.  Development and validation of a printed information brochure for families of chronically critically ill patients.

Authors:  Shannon S Carson; Maihan Vu; Marion Danis; Sharon L Camhi; Leslie P Scheunemann; Christopher E Cox; Laura C Hanson; Judith E Nelson
Journal:  Crit Care Med       Date:  2012-01       Impact factor: 7.598

9.  Human Cognitive Limitations. Broad, Consistent, Clinical Application of Physiological Principles Will Require Decision Support.

Authors:  Alan H Morris
Journal:  Ann Am Thorac Soc       Date:  2018-02

10.  Relationship between the prognostic expectations of seriously ill patients undergoing hemodialysis and their nephrologists.

Authors:  Melissa W Wachterman; Edward R Marcantonio; Roger B Davis; Robert A Cohen; Sushrut S Waikar; Russell S Phillips; Ellen P McCarthy
Journal:  JAMA Intern Med       Date:  2013-07-08       Impact factor: 21.873

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