Evidence map›Paper›PMID 36222541›Full record

ArticleCritical care medicine2022

Preparing for the Worst-Case Scenario in a Pandemic: Intensivists Simulate Prioritization and Triage of Scarce ICU Resources.

Kathrin Knochel, Katharina Adaktylos-Surber, Eva-Maria Schmolke, Lukas J Meier, Katja Kuehlmeyer, Kurt Ulm, Alena Buyx, Gerhard Schneider, Markus Heim

Open access · hybridAbstract read
In one paragraph

Article in Critical care medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Kathrin KnochelClinical Ethics, Institute of History and Ethics in Medicine, Technical University of Munich, School of Medicine, Munich, Germany.
Katharina Adaktylos-SurberClinical Ethics, Institute of History and Ethics in Medicine, Technical University of Munich, School of Medicine, Munich, Germany.
Eva-Maria SchmolkeClinical Ethics, Institute of History and Ethics in Medicine, Technical University of Munich, School of Medicine, Munich, Germany.
Lukas J MeierClinical Ethics, Institute of History and Ethics in Medicine, Technical University of Munich, School of Medicine, Munich, Germany.
Katja KuehlmeyerInstitute of Ethics, History and Theory of Medicine, LMU Munich, Munich, Germany.
Kurt UlmInstitute of Medical Informatics, Statistics and Epidemiology, Technical University of Munich, School of Medicine, Munich, Germany.
Alena BuyxClinical Ethics, Institute of History and Ethics in Medicine, Technical University of Munich, School of Medicine, Munich, Germany.
Gerhard SchneiderDepartment of Anesthesiology and Intensive Care Medicine, Technical University of Munich, School of Medicine, Munich, Germany.
Markus HeimDepartment of Anesthesiology and Intensive Care Medicine, Technical University of Munich, School of Medicine, Munich, Germany.
Technical University of Munich · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSimulation and evaluation of a prioritization protocol at a German university hospital using a convergent parallel mixed methods design.

designProspective single-center cohort study with a quantitative analysis of ICU patients and qualitative content analysis of two focus groups with intensivists.

settingFive ICUs of internal medicine and anesthesiology at a German university hospital. PATIENTS: Adult critically ill ICU patients ( n = 53).

interventionsAfter training the attending senior ICU physicians ( n = 13) in rationing, an impending ICU congestion was simulated. All ICU patients were rated according to their likelihood to survive their acute illness (good-moderate-unfavorable). From each ICU, the two patients with the most unfavorable prognosis ( n = 10) were evaluated by five prioritization teams for triage. MEASUREMENTS AND MAIN

resultsPatients nominated for prioritization visit ( n = 10) had higher Sequential Organ Failure Assessment scores and already a longer stay at the hospital and on the ICU compared with the other patients. The order within this worst prognosis group was not congruent between the five teams. However, an in-hospital mortality of 80% confirmed the reasonable match with the lowest predicted probability of survival. Qualitative data highlighted the tremendous burden of triage and the need for a team-based consensus-oriented decision-making approach to ensure best possible care and to support professionals. Transparent communication within the teams, the hospital, and to the public was seen as essential for prioritization implementation.

conclusionsTo mitigate potential bias and to reduce the emotional burden of triage, a consensus-oriented, interdisciplinary, and collaborative approach should be implemented. Prognostic comparative assessment by intensivists is feasible. The combination of long-term ICU stay and consistently high Sequential Organ Failure Assessment scores resulted in a greater risk for triage in patients. It remains challenging to reliably differentiate between patients with very low chances to survive and requires further conceptual and empirical research.

Indexed as

PandemicsTriageAdultCohort StudiesHumansIntensive Care UnitsProspective Studies

Identifiers

PMID36222541
PMCPMC9668365
OpenAlexW4304693577

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.