Evidence map›Paper›PMID 35596817›Full record

ArticleAnnals of intensive care2022

Usefulness of lung ultrasound for early detection of hospital-acquired pneumonia in cardiac critically ill patients on venoarterial extracorporeal membrane oxygenation.

Jean Pasqueron, Pauline Dureau, Gauthier Arcile, Baptiste Duceau, Geoffroy Hariri, Victoria Lepère, Guillaume Lebreton, Jean-Jacques Rouby, Adrien Bouglé

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 19 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

9 authors at 1 institution in 1 country.

Jean Pasqueron *Sorbonne Université, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Institute of Cardiology, Pitié-Salpêtrière Hospital, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Pauline Dureau *Sorbonne Université, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Institute of Cardiology, Pitié-Salpêtrière Hospital, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Gauthier ArcileSorbonne Université, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Institute of Cardiology, Pitié-Salpêtrière Hospital, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Baptiste DuceauSorbonne Université, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Institute of Cardiology, Pitié-Salpêtrière Hospital, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Geoffroy HaririSorbonne Université, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Institute of Cardiology, Pitié-Salpêtrière Hospital, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Victoria LepèreSorbonne Université, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Institute of Cardiology, Pitié-Salpêtrière Hospital, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Guillaume LebretonSorbonne Université, Department of Cardiac Surgery, Institute of Cardiology, Pitié-Salpêtrière Hospital, Paris, France.
Jean-Jacques RoubySorbonne Université, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Multidisciplinary Intensive Care Unit, Pitié-Salpêtrière Hospital, Paris, France.
Adrien BougléSorbonne Université, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Institute of Cardiology, Pitié-Salpêtrière Hospital, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France. adrien.bougle@aphp.fr.ORCID http://orcid.org/0000-0002-8990-4705
Sorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital-acquired pneumonia (HAP) is the most common and severe complication in patients treated with venoarterial extracorporeal membrane oxygenation (VA ECMO) and its diagnosis remains challenging. Nothing is known about the usefulness of lung ultrasound (LUS) in early detection of HAP in patients treated with VA ECMO. Also, LUS and chest radiography were performed when HAP was suspected in cardiac critically ill adult VA ECMO presenting with acute respiratory failure. The sonographic features of HAP in VA ECMO patients were determined and we assessed the performance of the lung ultrasound simplified clinical pulmonary score (LUS-sCPIS), the sCPIS and bioclinical parameters or chest radiography alone for early diagnosis of HAP.

resultsWe included 70 patients, of which 44 (63%) were independently diagnosed with HAP. LUS examination revealed that color Doppler intrapulmonary flow (P = 0.0000043) and dynamic air bronchogram (P = 0.00024) were the most frequent HAP-related signs. The LUS-sCPIS (area under the curve = 0.77) yielded significantly better results than the sCPIS (area under the curve = 0.65; P = 0.004), while leukocyte count, temperature and chest radiography were not discriminating for HAP diagnosis. DISCUSSION: Diagnosis of HAP is a daily challenge for the clinician managing patients on venoarterial ECMO. Lung ultrasound can be a valuable tool as the initial imaging modality for the diagnosis of pneumonia. Color Doppler intrapulmonary flow and dynamic air bronchogram appear to be particularly insightful for the diagnosis of HAP.

Indexed as

Color Doppler intrapulmonary flowDoppler color lung ultrasoundDynamic air bronchogramHospital-acquired pneumoniaIntensive care unitLung ultrasoundVenoarterial extracorporeal membrane oxygenation

Identifiers

PMID35596817
PMCPMC9124275
OpenAlexW4281255333

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.