Evidence map›Paper›PMID 26862018›Full record

ArticleIntensive care medicine2016

Effect of ICU strain on timing of limitations in life-sustaining therapy and on death.

May Hua, Scott D Halpern, Nicole B Gabler, Hannah Wunsch

Abstract read
In one paragraph

Article in Intensive care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Care of the Seriously Ill Patient with SARS-CoV-2.The Medical clinics of North America · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Hospital Capacity Strain as a Window into the Value of ICU Admission: Some Answers, More Questions.American journal of respiratory and critical care medicine · 2022
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

May HuaDepartment of Anesthesiology, Columbia University College of Physicians and Surgeons, 622 West 168th Street PH5, Room 527D, New York, NY, 10032, USA. mh2633@cumc.columbia.edu.
Scott D HalpernDivision of Pulmonary, Allergy and Critical Care Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.
Nicole B GablerCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.
Hannah WunschDepartment of Critical Care Medicine, Sunnybrook Health Sciences Center, Toronto, Canada.

Funding

Determinants of Critical Care Intensity for Hospitalized Older Adults: the Effect of Hospital-based Palliative Care ServicesK08AG051184 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HUA, MAY · 2015 to 2019
$863k
Use of intensive care services for elderly patients undergoing high risk surgicalK08AG038477 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WUNSCH, HANNAH · 2010 to 2014
$628k
NIA NIH HHS K08 AG038477NIA NIH HHS K08 AG051184
6 · The paper itself

Abstract

purposeThe effect of capacity strain in an ICU on the timing of end-of-life decision-making is unknown. We sought to determine how changes in strain impact timing of new do-not-resuscitate (DNR) orders and of death.

methodsRetrospective cohort study of 9891 patients dying in the hospital following an ICU stay ≥72 h in Project IMPACT, 2001-2008. We examined the effect of ICU capacity strain (measured by standardized census, proportion of new admissions, and average patient acuity) on time to initiation of DNR orders and time to death for all ICU decedents using fixed-effects linear regression.

resultsIncreases in strain were associated with shorter time to DNR for patients with limitations in therapy (predicted time to DNR 6.11 days for highest versus 7.70 days for lowest quintile of acuity, p = 0.02; 6.50 days for highest versus 7.77 days for lowest quintile of admissions, p < 0.001), and shorter time to death (predicted time to death 7.64 days for highest versus 9.05 days for lowest quintile of admissions, p < 0.001; 8.28 days for highest versus 9.06 days for lowest quintile of census, only in closed ICUs, p = 0.006). Time to DNR order significantly mediated relationships between acuity and admissions and time to death, explaining the entire effect of acuity, and 65 % of the effect of admissions. There was no association between strain and time to death for decedents without a limitation in therapy.

conclusionsStrains in ICU capacity are associated with end-of-life decision-making, with shorter times to placement of DNR orders and death for patients admitted during high-strain days.

Indexed as

Decision MakingHospital MortalityIntensive Care UnitsResuscitation OrdersTerminal CareAdultAgedAged, 80 and overCritical IllnessDatabases, FactualFemaleHumansLength of StayLinear ModelsMaleMiddle AgedVasoconstrictor AgentsCritical careDecision-makingEnd-of-life carePalliative care

Identifiers

PMID26862018
PMCPMC4846491

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.