Evidence map›Paper›PMID 25247021›Full record

ArticleJournal of clinical medicine research2014

Triage of Patients Consulted for ICU Admission During Times of ICU-Bed Shortage.

Jose Orsini, Christa Blaak, Angela Yeh, Xavier Fonseca, Tanya Helm, Ashvin Butala, Joaquin Morante

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Journal of clinical medicine research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02663505 (I See You Risk Your ICU Capacity - Development Of An ICU Risk Score), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 7% 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.

NCT02663505 completednot on this mapstarted 2016, after this paper: background citation

I See You Risk Your ICU Capacity - Development Of An ICU Risk Score

TypeobservationalSponsorUniversity Hospital Schleswig-HolsteinRan2016 to 2017Enrolled6,918ConditionsDevelopment of a Risk Score for ICU AdmissionArmsPatients receiving the surgery planned for them
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  13. Decision-making in intensive care medicine - A review.Journal of the Intensive Care Society · 2018
    Review
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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

7 authors at 1 institution in 1 country.

Jose OrsiniDepartment of Medicine, New York University School of Medicine, Woodhull Medical and Mental Health Center, 760 Broadway, Brooklyn, NY 11206, USA.
Christa BlaakDepartment of Medicine, New York University School of Medicine, Woodhull Medical and Mental Health Center, 760 Broadway, Brooklyn, NY 11206, USA.
Angela YehDepartment of Medicine, New York University School of Medicine, Woodhull Medical and Mental Health Center, 760 Broadway, Brooklyn, NY 11206, USA.
Xavier FonsecaDepartment of Medicine, New York University School of Medicine, Woodhull Medical and Mental Health Center, 760 Broadway, Brooklyn, NY 11206, USA.
Tanya HelmDepartment of Medicine, New York University School of Medicine, Woodhull Medical and Mental Health Center, 760 Broadway, Brooklyn, NY 11206, USA.
Ashvin ButalaDepartment of Medicine, New York University School of Medicine, Woodhull Medical and Mental Health Center, 760 Broadway, Brooklyn, NY 11206, USA.
Joaquin MoranteDepartment of Medicine, New York University School of Medicine, Woodhull Medical and Mental Health Center, 760 Broadway, Brooklyn, NY 11206, USA.
Woodhull Medical and Mental Health Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe demand for specialized medical services such as critical care often exceeds availability, thus rationing of intensive care unit (ICU) beds commonly leads to difficult triage decisions. Many factors can play a role in the decision to admit a patient to the ICU, including severity of illness and the need for specific treatments limited to these units. Although triage decisions would be based solely on patient and institutional level factors, it is likely that intensivists make different decisions when there are fewer ICU beds available. The objective of this study is to evaluate the characteristics of patients referred for ICU admission during times of limited beds availability.

methodsA single center, prospective, observational study was conducted among consecutive patients in whom an evaluation for ICU admission was requested during times of ICU overcrowding, which comprised the months of April and May 2014.

resultsA total of 95 patients were evaluated for possible ICU admission during the study period. Their mean APACHE-II score was 16.8 (median 16, range 3 - 36). Sixty-four patients (67.4%) were accepted to ICU, 18 patients (18.9%) were triaged to SDU, and 13 patients (13.7%) were admitted to hospital wards. ICU had no beds available 24 times (39.3%) during the study period, and in 39 opportunities (63.9%) only one bed was available. Twenty-four patients (25.3%) were evaluated when there were no available beds, and eight of those patients (33%) were admitted to ICU. A total of 17 patients (17.9%) died in the hospital, and 15 (23.4%) expired in ICU.

conclusionICU beds are a scarce resource for which demand periodically exceeds supply, raising concerns about mechanisms for resource allocation during times of limited beds availability. At our institution, triage decisions were not related to the number of available beds in ICU, age, or gender. A linear correlation was observed between severity of illness, expressed by APACHE-II scores, and the likelihood of being admitted to ICU. Alternative locations outside the ICU in which care for critically ill patients could be delivered should be considered during times of extreme ICU-bed shortage.

Indexed as

Acute physiology and chronic health evaluationEmergency departmentICU bedsIntensive care unitStep-down unitTriage

Identifiers

PMID25247021
PMCPMC4169089
OpenAlexW2014838895

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Registered trials

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.