Evidence map›Paper›PMID 36002181›Full record

ArticleBMJ open respiratory research2022

Comparison of prognostic scores for inpatients with COVID-19: a retrospective monocentric cohort study.

Jeremy Martin, Christophe Gaudet-Blavignac, Christian Lovis, Jérôme Stirnemann, Olivier Grosgurin, Antonio Leidi, Angèle Gayet-Ageron, Anne Iten, Sebastian Carballo, Jean-Luc Reny and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 15 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

13 authors at 1 institution in 1 country.

Jeremy MartinFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Christophe Gaudet-BlavignacDepartment of Medical Imaging and Medical Information Sciences, Geneva University Hospitals, Geneve, Switzerland.
Christian LovisFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Jérôme StirnemannFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Olivier GrosgurinFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Antonio LeidiDepartment of Medicine, Geneva University Hospitals, Geneve, Switzerland.
Angèle Gayet-AgeronFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Anne ItenFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Sebastian CarballoFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Jean-Luc RenyFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Pauline Darbellay-FahroumandFaculty of Medicine, University of Geneva, Geneve, Switzerland.
Amandine BernerDepartment of Medicine, Geneva University Hospitals, Geneve, Switzerland.
Christophe MartiFaculty of Medicine, University of Geneva, Geneve, Switzerland christophe.marti@hcuge.ch.
University of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe SARS-CoV-2 pandemic led to a steep increase in hospital and intensive care unit (ICU) admissions for acute respiratory failure worldwide. Early identification of patients at risk of clinical deterioration is crucial in terms of appropriate care delivery and resource allocation. We aimed to evaluate and compare the prognostic performance of Sequential Organ Failure Assessment (SOFA), Quick Sequential Organ Failure Assessment (qSOFA), Confusion, Uraemia, Respiratory Rate, Blood Pressure and Age ≥65 (CURB-65), Respiratory Rate and Oxygenation (ROX) index and Coronavirus Clinical Characterisation Consortium (4C) score to predict death and ICU admission among patients admitted to the hospital for acute COVID-19 infection. METHODS AND ANALYSIS: Consecutive adult patients admitted to the Geneva University Hospitals during two successive COVID-19 flares in spring and autumn 2020 were included. Discriminative performance of these prediction rules, obtained during the first 24 hours of hospital admission, were computed to predict death or ICU admission. We further exluded patients with therapeutic limitations and reported areas under the curve (AUCs) for 30-day mortality and ICU admission in sensitivity analyses.

resultsA total of 2122 patients were included. 216 patients (10.2%) required ICU admission and 303 (14.3%) died within 30 days post admission. 4C score had the best discriminatory performance to predict 30-day mortality (AUC 0.82, 95% CI 0.80 to 0.85), compared with SOFA (AUC 0.75, 95% CI 0.72 to 0.78), qSOFA (AUC 0.59, 95% CI 0.56 to 0.62), CURB-65 (AUC 0.75, 95% CI 0.72 to 0.78) and ROX index (AUC 0.68, 95% CI 0.65 to 0.72). ROX index had the greatest discriminatory performance (AUC 0.79, 95% CI 0.76 to 0.83) to predict ICU admission compared with 4C score (AUC 0.62, 95% CI 0.59 to 0.66), CURB-65 (AUC 0.60, 95% CI 0.56 to 0.64), SOFA (AUC 0.74, 95% CI 0.71 to 0.77) and qSOFA (AUC 0.59, 95% CI 0.55 to 0.62).

conclusionScores including age and/or comorbidities (4C and CURB-65) have the best discriminatory performance to predict mortality among inpatients with COVID-19, while scores including quantitative assessment of hypoxaemia (SOFA and ROX index) perform best to predict ICU admission. Exclusion of patients with therapeutic limitations improved the discriminatory performance of prognostic scores relying on age and/or comorbidities to predict ICU admission.

Indexed as

COVID-19Organ Dysfunction ScoresAdultCohort StudiesHumansInpatientsPrognosisRetrospective StudiesROC CurveSARS-CoV-2COVID-19

Identifiers

PMID36002181
PMCPMC9412043
OpenAlexW4292939167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.