Literature DB >> 32166250

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

Melissa Basile1, Anne Press2, Alexander C Adia3, Jason J Wang1, Saori Wendy Herman4, Janice Lester5, Nisha Parikh6, Negin Hajizadeh7.   

Abstract

Little is known about the impact of providing calculator/guideline based versus clinical experiential-based prognostic estimates to patients/caregivers in the ICU. We sought to determine whether studies have compared types of prognostic estimation in the ICU and associations with outcomes. DATA SOURCES: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, databases searched were PubMed, Embase, Web of Science, and Cochrane Library. The search was run on January 4, 2016, and April 12, 2017. References for included articles were searched. STUDY SELECTION: Studies meeting the following criteria were included in the analysis: communication of prognostic estimates, a comparator group, and in the adult ICU setting. DATA EXTRACTION: Titles/abstracts were reviewed by two researchers. We identified 10,704 articles of which 10 met inclusion criteria. Seven of the studies included estimates obtained from calculators/guidelines and three were based on subjective estimation wherein clinicians were asked to estimate prognosis based on experience. Only the seven using calculated/guideline based estimation were used for pooled analysis. Of these, one was a randomized trial, and six were nonrandomized before/after studies. All of the studies communicated the calculated/guideline-based estimates to the clinician. Two studies involved the communication of calculated prognostic estimates to the ICU physicians for all ICU patients. Four included identification of high-risk patients based on guidelines or review of historical local data which triggered a palliative care/ethics consultation, and one study included communication to physicians about guideline based likely outcomes for neurologic recovery for patients with out-of-hospital cardiac arrest survivors. The comparator arm in all studies was usual care without protocolized prognostication. DATA SYNTHESIS: Included studies were assessed for risk of bias. The most common outcomes measured were hospital mortality; do-not-resuscitate status; and medical ICU length of stay. In pooled analyses, there was an association between calculated/guideline based prognostic estimation and decreased medical ICU length of stay as well as increased do-not-resuscitate status, but no difference in hospital mortality.
CONCLUSIONS: Protocolized assessment of calculator/guideline based prognosis in ICU patients is associated with decreased medical ICU length of stay and increased do-not-resuscitate status but does not have a significant effect on mortality. Future studies should explore how communicating these estimates to physicians changes behaviors including communication to patients/families and whether calculator/guideline based prognostication is associated with improved patient and family rated outcomes. Copyright (c) 2019 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.

Entities:  

Keywords:  critical care; decision-making; end-of-life; intensive care units; life support; prognostic estimates

Year:  2019        PMID: 32166250      PMCID: PMC7063872          DOI: 10.1097/CCE.0000000000000004

Source DB:  PubMed          Journal:  Crit Care Explor        ISSN: 2639-8028


  45 in total

1.  A randomized trial of two methods to disclose prognosis to surrogate decision makers in intensive care units.

Authors:  Susan J Lee Char; Leah R Evans; Grace L Malvar; Douglas B White
Journal:  Am J Respir Crit Care Med       Date:  2010-06-10       Impact factor: 21.405

2.  A study of proactive ethics consultation for critically and terminally ill patients with extended lengths of stay.

Authors:  M D Dowdy; C Robertson; J A Bander
Journal:  Crit Care Med       Date:  1998-02       Impact factor: 7.598

3.  Palliative medicine consultation impacts DNR designation and length of stay for terminal medical MICU patients.

Authors:  Dana Lustbader; Renee Pekmezaris; Michael Frankenthaler; Rajni Walia; Frederick Smith; Erfan Hussain; Barbara Napolitano; Martin Lesser
Journal:  Palliat Support Care       Date:  2011-12

4.  Clinician predictions of intensive care unit mortality.

Authors:  Graeme Rocker; Deborah Cook; Peter Sjokvist; Bruce Weaver; Simon Finfer; Ellen McDonald; John Marshall; Anne Kirby; Mitchell Levy; Peter Dodek; Daren Heyland; Gordon Guyatt
Journal:  Crit Care Med       Date:  2004-05       Impact factor: 7.598

5.  A proactive approach to improve end-of-life care in a medical intensive care unit for patients with terminal dementia.

Authors:  Margaret L Campbell; Jorge A Guzman
Journal:  Crit Care Med       Date:  2004-09       Impact factor: 7.598

6.  Determinants in Canadian health care workers of the decision to withdraw life support from the critically ill. Canadian Critical Care Trials Group.

Authors:  D J Cook; G H Guyatt; R Jaeschke; J Reeve; A Spanier; D King; D W Molloy; A Willan; D L Streiner
Journal:  JAMA       Date:  1995-03-01       Impact factor: 56.272

Review 7.  Practical guidance for evidence-based ICU family conferences.

Authors:  J Randall Curtis; Douglas B White
Journal:  Chest       Date:  2008-10       Impact factor: 9.410

8.  Surrogate decision makers' responses to physicians' predictions of medical futility.

Authors:  Lucas S Zier; Jeffrey H Burack; Guy Micco; Anne K Chipman; James A Frank; Douglas B White
Journal:  Chest       Date:  2009-03-24       Impact factor: 9.410

9.  Estimating the mean and variance from the median, range, and the size of a sample.

Authors:  Stela Pudar Hozo; Benjamin Djulbegovic; Iztok Hozo
Journal:  BMC Med Res Methodol       Date:  2005-04-20       Impact factor: 4.615

10.  Understanding patients' and doctors' attitudes about shared decision making for advance care planning.

Authors:  Negin Hajizadeh; Lauren M Uhler; Rafael E Pérez Figueroa
Journal:  Health Expect       Date:  2014-10-22       Impact factor: 3.377

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  2 in total

1.  Prognostication in Acute Neurological Emergencies.

Authors:  Kelly L Sloane; Julie J Miller; Amanda Piquet; Brian L Edlow; Eric S Rosenthal; Aneesh B Singhal
Journal:  J Stroke Cerebrovasc Dis       Date:  2022-01-07       Impact factor: 2.136

Review 2.  The Importance of Prognostication: Impact of Prognostic Predictions, Disclosures, Awareness, and Acceptance on Patient Outcomes.

Authors:  David Hui; Li Mo; Carlos Eduardo Paiva
Journal:  Curr Treat Options Oncol       Date:  2021-01-11
  2 in total

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