Evidence map›Paper›PMID 34154635›Full record

ArticleCritical care (London, England)2021

Lung distribution of gas and blood volume in critically ill COVID-19 patients: a quantitative dual-energy computed tomography study.

Lorenzo Ball, Chiara Robba, Jacob Herrmann, Sarah E Gerard, Yi Xin, Maura Mandelli, Denise Battaglini, Iole Brunetti, Giuseppe Minetti, Sara Seitun and 11 more

Abstract read
In one paragraph

Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Intrapulmonary Bronchopulmonary Anastomoses in Severe COVID-19-related Acute Respiratory Failure.American journal of respiratory and critical care medicine · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Lorenzo BallDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy. lorenzo.ball@unige.it.ORCID http://orcid.org/0000-0002-3876-4730
Chiara RobbaDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy.
Jacob HerrmannDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Sarah E GerardDepartment of Radiology, University of Iowa, Iowa City, IA, USA.
Yi XinDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Maura MandelliAnesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Denise BattagliniAnesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Iole BrunettiAnesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Giuseppe MinettiOncology and Interventional Radiology Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Sara SeitunOncology and Interventional Radiology Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Giulio BovioOncology and Interventional Radiology Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Antonio VenaInfectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Daniele Roberto GiacobbeInfectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Matteo BassettiInfectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Patricia R M RoccoLaboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Maurizio CeredaDepartment of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Rahim R RiziDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Lucio CastellanRadiology Department, Ospedale Policlinico San Martino, IRCCS per l'Oncologia e le Neuroscienze, Genoa, Italy.
Nicolò PatronitiDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy.
Paolo PelosiDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy.
Collaborators of the GECOVID Group

Funding

Iowa Lung Imaging Training ProgramT32HL144461 · NHLBI · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED, REINHARDT, JOSEPH M · 2019 to 2023
$1.6M
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 421067/2016-0Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.181/2020NHLBI NIH HHS T32 HL144461
6 · The paper itself

Abstract

backgroundCritically ill COVID-19 patients have pathophysiological lung features characterized by perfusion abnormalities. However, to date no study has evaluated whether the changes in the distribution of pulmonary gas and blood volume are associated with the severity of gas-exchange impairment and the type of respiratory support (non-invasive versus invasive) in patients with severe COVID-19 pneumonia.

methodsThis was a single-center, retrospective cohort study conducted in a tertiary care hospital in Northern Italy during the first pandemic wave. Pulmonary gas and blood distribution was assessed using a technique for quantitative analysis of dual-energy computed tomography. Lung aeration loss (reflected by percentage of normally aerated lung tissue) and the extent of gas:blood volume mismatch (percentage of non-aerated, perfused lung tissue-shunt; aerated, non-perfused dead space; and non-aerated/non-perfused regions) were evaluated in critically ill COVID-19 patients with different clinical severity as reflected by the need for non-invasive or invasive respiratory support.

resultsThirty-five patients admitted to the intensive care unit between February 29th and May 30th, 2020 were included. Patients requiring invasive versus non-invasive mechanical ventilation had both a lower percentage of normally aerated lung tissue (median [interquartile range] 33% [24-49%] vs. 63% [44-68%], p < 0.001); and a larger extent of gas:blood volume mismatch (43% [30-49%] vs. 25% [14-28%], p = 0.001), due to higher shunt (23% [15-32%] vs. 5% [2-16%], p = 0.001) and non-aerated/non perfused regions (5% [3-10%] vs. 1% [0-2%], p = 0.001). The PaO

conclusionsIn critically ill patients with severe COVID-19 pneumonia, the need for invasive mechanical ventilation and oxygenation impairment were associated with loss of aeration and the extent of gas:blood volume mismatch.

Indexed as

AgedBlood Gas AnalysisBlood VolumeCohort StudiesCOVID-19Critical IllnessFemaleHumansItalyLungMaleMiddle AgedPulmonary Gas ExchangeRespiration, ArtificialRetrospective StudiesTomography, X-Ray ComputedARDSCOVID-19Dual energy computed tomographyLung imaging

Identifiers

PMID34154635
PMCPMC8215486

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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.