Evidence map›Paper›PMID 33937866›Full record

ArticleCritical care explorations2021

Stratifying Deterioration Risk by Acuity at Admission Offers Triage Insights for Coronavirus Disease 2019 Patients.

Joseph Beals, Jaime J Barnes, Daniel J Durand, Joan M Rimar, Thomas J Donohue, S Mahfuz Hoq, Kathy W Belk, Alpesh N Amin, Michael J Rothman

Abstract read
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Management of COVID-19 Patients in the Emergency Department.Journal of personalized medicine · 2021
    Review
  6. Article
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.

Joseph BealsPeraHealth, Inc., Charlotte, NC.
Jaime J BarnesDepartment of Medicine, Sinai Hospital of Baltimore, Baltimore, MD.
Daniel J DurandDepartment of Innovation and Research, LifeBridge Health, Baltimore, MD.
Joan M RimarYale New Haven Health System, Yale New Haven Hospital, New Haven, CT.
Thomas J DonohueYale New Haven Health System, Yale New Haven Hospital, New Haven, CT.
S Mahfuz HoqYale New Haven Health System, Bridgeport Hospital, Bridgeport, CT.
Kathy W BelkPeraHealth, Inc., Charlotte, NC.
Alpesh N AminIrvine Medical Center, The University of California, Orange, CA.
Michael J RothmanPeraHealth, Inc., Charlotte, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTriaging patients at admission to determine subsequent deterioration risk can be difficult. This is especially true of coronavirus disease 2019 patients, some of whom experience significant physiologic deterioration due to dysregulated immune response following admission. A well-established acuity measure, the Rothman Index, is evaluated for stratification of patients at admission into high or low risk of subsequent deterioration.

designMulticenter retrospective study.

settingOne academic medical center in Connecticut, and three community hospitals in Connecticut and Maryland. PATIENTS: Three thousand four hundred ninety-nine coronavirus disease 2019 and 14,658 noncoronavirus disease 2019 adult patients admitted to a medical service between January 1, 2020, and September 15, 2020.

interventionsNone. MEASUREMENTS AND MAIN

resultsPerformance of the Rothman Index at admission to predict in-hospital mortality or ICU utilization for both general medical and coronavirus disease 2019 populations was evaluated using the area under the curve. Precision and recall for mortality prediction were calculated, high- and low-risk thresholds were determined, and patients meeting threshold criteria were characterized. The Rothman Index at admission has good to excellent discriminatory performance for in-hospital mortality in the coronavirus disease 2019 (area under the curve, 0.81-0.84) and noncoronavirus disease 2019 (area under the curve, 0.90-0.92) populations. We show that for a given admission acuity, the risk of deterioration for coronavirus disease 2019 patients is significantly higher than for noncoronavirus disease 2019 patients. At admission, Rothman Index-based thresholds segregate the majority of patients into either high- or low-risk groups; high-risk groups have mortality rates of 34-45% (coronavirus disease 2019) and 17-25% (noncoronavirus disease 2019), whereas low-risk groups have mortality rates of 2-5% (coronavirus disease 2019) and 0.2-0.4% (noncoronavirus disease 2019). Similarly large differences in ICU utilization are also found.

conclusionsAcuity level at admission may support rapid and effective risk triage. Notably, in-hospital mortality risk associated with a given acuity at admission is significantly higher for coronavirus disease 2019 patients than for noncoronavirus disease 2019 patients. This insight may help physicians more effectively triage coronavirus disease 2019 patients, guiding level of care decisions and resource allocation.

Indexed as

clinical decision rulescoronavirus disease 2019decision support systemshospital mortalitypatient acuityrisk assessment

Identifiers

PMID33937866
PMCPMC8084057

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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.