Evidence map›Paper›PMID 33491147›Full record

ArticleIntensive care medicine experimental2021

Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study.

Micah L A Heldeweg, Jorge E Lopez Matta, Mark E Haaksma, Jasper M Smit, Carlos V Elzo Kraemer, Harm-Jan de Grooth, Evert de Jonge, Lilian J Meijboom, Leo M A Heunks, David J van Westerloo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 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

11 authors at 2 institutions in 1 country.

Micah L A HeldewegDepartment of Intensive Care Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands. m.heldeweg@amsterdamumc.nl.ORCID http://orcid.org/0000-0001-7420-8486
Jorge E Lopez MattaDepartment of Intensive Care Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Mark E HaaksmaDepartment of Intensive Care Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands.
Jasper M SmitDepartment of Intensive Care Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands.
Carlos V Elzo KraemerDepartment of Intensive Care Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Harm-Jan de GroothDepartment of Intensive Care Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands.
Evert de JongeDepartment of Intensive Care Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Lilian J MeijboomDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands.
Leo M A HeunksDepartment of Intensive Care Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands.
David J van WesterlooDepartment of Intensive Care Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Pieter R TuinmanDepartment of Intensive Care Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung ultrasound can adequately monitor disease severity in pneumonia and acute respiratory distress syndrome. We hypothesize lung ultrasound can adequately monitor COVID-19 pneumonia in critically ill patients.

methodsAdult patients with COVID-19 pneumonia admitted to the intensive care unit of two academic hospitals who underwent a 12-zone lung ultrasound and a chest CT examination were included. Baseline characteristics, and outcomes including composite endpoint death or ICU stay > 30 days were recorded. Lung ultrasound and CT images were quantified as a lung ultrasound score involvement index (LUSI) and CT severity involvement index (CTSI). Primary outcome was the correlation, agreement, and concordance between LUSI and CTSI. Secondary outcome was the association of LUSI and CTSI with the composite endpoints.

resultsWe included 55 ultrasound examinations in 34 patients, which were 88% were male, with a mean age of 63 years and mean P/F ratio of 151. The correlation between LUSI and CTSI was strong (r = 0.795), with an overall 15% bias, and limits of agreement ranging - 40 to 9.7. Concordance between changes in sequentially measured LUSI and CTSI was 81%. In the univariate model, high involvement on LUSI and CTSI were associated with a composite endpoint. In the multivariate model, LUSI was the only remaining independent predictor.

conclusionsLung ultrasound can be used as an alternative for chest CT in monitoring COVID-19 pneumonia in critically ill patients as it can quantify pulmonary involvement, register changes over the course of the disease, and predict death or ICU stay > 30 days.

trial registrationNTR, NL8584. Registered 01 May 2020-retrospectively registered, https://www.trialregister.nl/trial/8584.

Indexed as

AdultCOVID-19Critical illnessLungPneumoniaRespiratory distress syndromeUltrasonography

Identifiers

PMID33491147
PMCPMC7829056
OpenAlexW3122439497

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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.