Evidence map›Paper›PMID 33619667›Full record

Trial reportNeurocritical care2021

Predictors of Surrogate Decision Makers Selecting Life-Sustaining Therapy for Severe Acute Brain Injury Patients: An Analysis of US Population Survey Data.

Anisha Garg, Alexandria L Soto, Andrea K Knies, Stanislav Kolenikov, Marci Schalk, Heather Hammer, Douglas B White, Robert G Holloway, Kevin N Sheth, Liana Fraenkel and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Neurocritical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. End-of-Life Care Decision-Making in Stroke.Frontiers in neurology · 2021
    Review
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Anisha Garg *Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
Alexandria L Soto *Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, PO Box 208018, New Haven, CT, 06520, USA.
Andrea K KniesDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
Stanislav KolenikovAbt Associates, Columbia, MO, USA.
Marci SchalkAbt Associates, Chicago, IL, USA.
Heather HammerBooz Allen Hamilton, Washington, DC, USA.
Douglas B WhiteDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Robert G HollowayDepartment of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
Kevin N ShethDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, PO Box 208018, New Haven, CT, 06520, USA.
Liana FraenkelVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
David Y HwangDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, PO Box 208018, New Haven, CT, 06520, USA. david.hwang@yale.edu.ORCID http://orcid.org/0000-0002-2150-4289

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Improving Decision Making in Patients with Rheumatic DiseaseK24AR060231 · NIAMS · YALE UNIVERSITY · PI FRAENKEL, LIANA · 2011 to 2018
$1.2M
Mentored Patient Oriented Research in Improving Surrogate Decision Making for Patients with Advanced Respiratory FailureK24HL148314 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Douglas B White · 2019 to 2026
$944k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K24 HL148314NIAMS NIH HHS K24 AR060231
6 · The paper itself

Abstract

backgroundPatients with a severe acute brain injury admitted to the intensive care unit often have a poor neurological prognosis. In these situations, a clinician is responsible for conducting a goals-of-care conversation with the patient's surrogate decision makers. The diversity in thought and background of surrogate decision makers can present challenges during these conversations. For this reason, our study aimed to identify predictive characteristics of US surrogate decision makers' favoring life-sustaining treatment (LST) over comfort measures only for patients with severe acute brain injury.

methodsWe analyzed data from a cross-sectional survey study that had recruited 1588 subjects from an online probability-based US population sample. Seven hundred and ninety-two subjects had randomly received a hypothetical scenario regarding a relative intubated with severe acute brain injury with a prognosis of severe disability but with the potential to regain some consciousness. Seven hundred and ninety-six subjects had been randomized to a similar scenario in which the relative was projected to remain vegetative. For each scenario, we conducted univariate analyses and binary logistic regressions to determine predictors of LST selection among available respondent characteristics.

results15.0% of subjects selected LST for the severe disability scenario compared to 11.4% for the vegetative state scenario (p = 0.07), with those selecting LST in both groups expressing less decisional certainty. For the severe disability scenario, independent predictors of LST included having less than a high school education (adjusted OR = 2.87, 95% CI = 1.23-6.76), concern regarding prognostic accuracy (7.64, 3.61-16.15), and concern regarding the cost of care (4.07, 1.80-9.18). For the vegetative scenario, predictors included the youngest age group (30-44 years, 3.33, 1.02-10.86), male gender (3.26, 1.75-6.06), English as a second language (2.94, 1.09-7.89), Evangelical Protestant (3.72, 1.28-10.84) and Catholic (4.01, 1.72-9.36) affiliations, and low income (< $25 K).

conclusionSeveral demographic and decisional characteristics of US surrogate decision makers predict LST selection for patients with severe brain injury with varying degrees of poor prognosis. Surrogates concerned about the cost of medical care may nevertheless be inclined to select LST, albeit with high levels of decisional uncertainty, for patients projected to have severe disabilities.

Indexed as

Brain InjuriesDecision MakingAdultCross-Sectional StudiesFemaleHumansIntensive Care UnitsMaleWithholding TreatmentBrain injuriesChoice behaviorDecision makingFamilyIntensive care unitsPalliative care

Identifiers

PMID33619667
PMCPMC8380750

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.