Evidence map›Paper›PMID 37057912›Full record

ArticleJournal of hospital medicine2023

Performance of point-of-care severity scores to predict prognosis in patients admitted through the emergency department with COVID-19.

Priya A Prasad, Jessica Correia, Margaret C Fang, Arielle Fisher, Mick Correll, Sandra Oreper, Andrew Auerbach

Open access · greenAbstract read
In one paragraph

Article in Journal of hospital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. 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

7 authors at 2 institutions in 1 country.

Priya A PrasadDepartment of Medicine, Division of Hospital Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-1384-0960
Jessica CorreiaSarah Cannon, Genospace, HCA Healthcare Research Institute, Nashville, Tennessee, USA.
Margaret C FangDepartment of Medicine, Division of Hospital Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-3362-1543
Arielle FisherSarah Cannon, Genospace, HCA Healthcare Research Institute, Nashville, Tennessee, USA.
Mick CorrellSarah Cannon, Genospace, HCA Healthcare Research Institute, Nashville, Tennessee, USA.
Sandra OreperDepartment of Medicine, Division of Hospital Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-1069-5646
Andrew AuerbachDepartment of Medicine, Division of Hospital Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-8440-0527
San Francisco General Hospital · USSarah Cannon · US

Funding

Utility of Predictive Systems to identify Inpatient Diagnostic Errors: The UPSIDE StudyR01HS027369 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AUERBACH, ANDREW D · 2019 to 2021
$1.5M
Use and outcomes of anticoagulants for the treatment and prevention of thrombosis among hospitalized patientsK24HL141354 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FANG, MARGARET C. · 2018 to 2022
$731k
AHRQ HHS R01 HS027369NHLBI NIH HHS K24 HL141354NHLBI NIH HHS K24HL141354
6 · The paper itself

Abstract

backgroundIdentifying COVID-19 patients at the highest risk of poor outcomes is critical in emergency department (ED) presentation. Sepsis risk stratification scores can be calculated quickly for COVID-19 patients but have not been evaluated in a large cohort.

objectiveTo determine whether well-known risk scores can predict poor outcomes among hospitalized COVID-19 patients. DESIGNS, SETTINGS, AND

participantsA retrospective cohort study of adults presenting with COVID-19 to 156 Hospital Corporation of America (HCA) Healthcare EDs, March 2, 2020, to February 11, 2021.

interventionQuick Sequential Organ Failure Assessment (qSOFA), Shock Index, National Early Warning System-2 (NEWS2), and quick COVID-19 Severity Index (qCSI) at presentation. MAIN OUTCOME AND MEASURES: The primary outcome was in-hospital mortality. Secondary outcomes included intensive care unit (ICU) admission, mechanical ventilation, and vasopressors receipt. Patients scored positive with qSOFA ≥ 2, Shock Index > 0.7, NEWS2 ≥ 5, and qCSI ≥ 4. Test characteristics and area under the receiver operating characteristics curves (AUROCs) were calculated.

resultsWe identified 90,376 patients with community-acquired COVID-19 (mean age 64.3 years, 46.8% female). 17.2% of patients died in-hospital, 28.6% went to the ICU, 13.7% received mechanical ventilation, and 13.6% received vasopressors. There were 3.8% qSOFA-positive, 45.1% Shock Index-positive, 49.8% NEWS2-positive, and 37.6% qCSI-positive at ED-triage. NEWS2 exhibited the highest AUROC for in-hospital mortality (0.593, confidence interval [CI]: 0.588-0.597), ICU admission (0.602, CI: 0.599-0.606), mechanical ventilation (0.614, CI: 0.610-0.619), and vasopressor receipt (0.600, CI: 0.595-0.604).

conclusionsSepsis severity scores at presentation have low discriminative power to predict outcomes in COVID-19 patients and are not reliable for clinical use. Severity scores should be developed using features that accurately predict poor outcomes among COVID-19 patients to develop more effective risk-based triage.

Indexed as

COVID-19SepsisAdultEmergency Service, HospitalFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedOrgan Dysfunction ScoresPoint-of-Care SystemsPrognosisRetrospective StudiesROC Curve

Identifiers

PMID37057912
PMCPMC11344580
OpenAlexW4365479146

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.