Evidence map›Paper›PMID 33852149›Full record

Observational studyAdvances in therapy2021

Can Thoracic Ultrasound on Admission Predict the Outcome of Critically Ill Patients with SARS-CoV-2? A French Multi-Centric Ancillary Retrospective Study.

Gary Duclos, Florian Bazalguette, Bernard Allaouchiche, Neyla Mohammedi, Alexandre Lopez, Mathieu Gazon, Guillaume Besch, Lionel Bouvet, Laurent Muller, Gauthier Mathon and 4 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Advances in therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Lung Ultrasound Score in COVID-19 Patients Correlates with POThe western journal of emergency medicine · 2024
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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

14 authors at 6 institutions in 1 country.

Gary DuclosDepartment of Anesthesiology and Intensive Care Unit, Aix Marseille University, Assistance Publique Hôpitaux de Marseille, Nord Hospital, Marseille, France. gary.duclos@ap-hm.fr.
Florian BazalguetteCHU de Nîmes-Caremeau, Service Réanimation et Surveillance Continue, Pôle ARDU (anesthésie, réanimation, douleur, urgences), 30029, Nîmes cedex, France.
Bernard AllaouchicheHospices Civils de Lyon, Centre Hospitalier Lyon-Sud, Service de Réanimation, 69310, Pierre-Bénite, France.
Neyla MohammediDepartment of Anesthesiology and Intensive Care Unit, Aix Marseille University, Assistance Publique Hôpitaux de Marseille, Nord Hospital, Marseille, France.
Alexandre LopezDepartment of Anesthesiology and Intensive Care Unit, Aix Marseille University, Assistance Publique Hôpitaux de Marseille, Nord Hospital, Marseille, France.
Mathieu GazonDépartement d'Anesthésie et Réanimation and Centre de Recherche Clinique, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France.
Guillaume BeschDepartment of Anesthesiology and Intensive Care Medicine, University Hospital of Besancon, Besancon, France.
Lionel BouvetService d'Anesthésie Réanimation, Groupement Hospitalier Est, Hospices Civils de Lyon, Lyon, France.
Laurent MullerCHU de Nîmes-Caremeau, Service Réanimation et Surveillance Continue, Pôle ARDU (anesthésie, réanimation, douleur, urgences), 30029, Nîmes cedex, France.
Gauthier MathonHospices Civils de Lyon, Centre Hospitalier Lyon-Sud, Service de Réanimation, 69310, Pierre-Bénite, France.
Charlotte ArbelotDepartment of Anesthesiology and Intensive Care Unit, Aix Marseille University, Assistance Publique Hôpitaux de Marseille, Nord Hospital, Marseille, France.
Mohamed BoucekineCentre d'Etudes et de Recherches Sur Les Services de Santé et Qualité, Faculté de Médecine, Aix-Marseille université, Marseille, France.
Marc LeoneDepartment of Anesthesiology and Intensive Care Unit, Aix Marseille University, Assistance Publique Hôpitaux de Marseille, Nord Hospital, Marseille, France.
Laurent ZieleskiewiczDepartment of Anesthesiology and Intensive Care Unit, Aix Marseille University, Assistance Publique Hôpitaux de Marseille, Nord Hospital, Marseille, France.
Aix-Marseille Université · FRCentre Hospitalier Universitaire de Nîmes · FRHospices Civils de Lyon · FRUniversité Claude Bernard Lyon 1 · FRCentre Hospitalier Universitaire de Besançon · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks have led to massive admissions to intensive care units (ICUs). An ultrasound examination of the thorax is widely performed on admission in these patients. The primary objective of our study was to assess the performance of the lung ultrasound score (LUS) on ICU admission to predict the 28-day mortality rate in patients with SARS-CoV-2. The secondary objective was to asses the performance of thoracic ultrasound and biological markers of cardiac injury to predict mortality.

methodsThis multicentre, retrospective, observational study was conducted in six ICUs of four university hospitals in France from 15 March to 3 May 2020. Patients admitted to ICUs because of SARS-CoV-2-related acute respiratory failure and those who received an LUS examination at admission were included. The area under the receiver-operating characteristics (ROC) curve was determined for the LUS score to predict the 28-day mortality rate. The same analysis was performed for the Simplified Acute Physiology Score, left ventricular ejection fraction, cardiac output, brain natriuretic peptide and ultra-sensitive troponin levels at admission.

resultsIn 57 patients, the 28-day mortality rate was 21%. The area under the ROC curve of the LUS score value on ICU admission was 0.68 [95% CI 0.54-0.82; p = 0.05]. In non-intubated patients on ICU admission (n = 40), the area under the ROC curves was 0.84 [95% CI 0.70-0.97; p = 0.005]. The best cut-off of 22 corresponded to 85% specificity and 83% sensitivity.

conclusionsLUS scores on ICU admission for SARS-CoV-2 did not efficiently predict the 28-day mortality rate. Performance was better for non-intubated patients at admission. Performance of biological cardiac markers may be equivalent to the LUS score.

Indexed as

COVID-19SARS-CoV-2Critical IllnessFranceHumansIntensive Care UnitsRetrospective StudiesROC CurveStroke VolumeVentricular Function, LeftCritical careEchocardiographyLung ultrasound scoreSARS-CoV-2

Identifiers

PMID33852149
PMCPMC8045017
OpenAlexW3155036286

What OpenQuestion holds

Textmetadata
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.