Evidence map›Paper›PMID 33624222›Full record

ArticleThe ultrasound journal2021

Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study.

Paolo Persona, Ilaria Valeri, Francesco Zarantonello, Edoardo Forin, Nicolò Sella, Giulio Andreatta, Christelle Correale, Eugenio Serra, Annalisa Boscolo, Giovanni Volpicelli and 1 more

Erratum issuedAbstract read
In one paragraph

Article in The ultrasound journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  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

5 · Who and what money

Authors and funding

11 authors.

Paolo PersonaInstitute of Anesthesia and Critical Care, Padua University Hospital, Via V. Gallucci, 13, 35121, Padova, Italy. ppersona75@gmail.com.ORCID http://orcid.org/0000-0003-1584-5148
Ilaria ValeriAnesthesia and Critical Care, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Francesco ZarantonelloInstitute of Anesthesia and Critical Care, Padua University Hospital, Via V. Gallucci, 13, 35121, Padova, Italy.
Edoardo ForinAnesthesia and Critical Care, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Nicolò SellaAnesthesia and Critical Care, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Giulio AndreattaAnesthesia and Critical Care, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Christelle CorrealeAnesthesia and Critical Care, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Eugenio SerraInstitute of Anesthesia and Critical Care, Padua University Hospital, Via V. Gallucci, 13, 35121, Padova, Italy.
Annalisa BoscoloInstitute of Anesthesia and Critical Care, Padua University Hospital, Via V. Gallucci, 13, 35121, Padova, Italy.
Giovanni VolpicelliDepartment of Emergency Medicine, San Luigi Gonzaga University Hospital, Torino, Italy.
Paolo NavalesiInstitute of Anesthesia and Critical Care, Padua University Hospital, Via V. Gallucci, 13, 35121, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring COVID-19 pandemic, optimization of the diagnostic resources is essential. Lung Ultrasound (LUS) is a rapid, easy-to-perform, low cost tool which allows bedside investigation of patients with COVID-19 pneumonia. We aimed to investigate the typical ultrasound patterns of COVID-19 pneumonia and their evolution at different stages of the disease.

methodsWe performed LUS in twenty-eight consecutive COVID-19 patients at both admission to and discharge from one of the Padua University Hospital Intensive Care Units (ICU). LUS was performed using a low frequency probe on six different areas per each hemithorax. A specific pattern for each area was assigned, depending on the prevalence of A-lines (A), non-coalescent B-lines (B1), coalescent B-lines (B2), consolidations (C). A LUS score (LUSS) was calculated after assigning to each area a defined pattern.

resultsOut of 28 patients, 18 survived, were stabilized and then referred to other units. The prevalence of C pattern was 58.9% on admission and 61.3% at discharge. Type B2 (19.3%) and B1 (6.5%) patterns were found in 25.8% of the videos recorded on admission and 27.1% (17.3% B2; 9.8% B1) on discharge. The A pattern was prevalent in the anterosuperior regions and was present in 15.2% of videos on admission and 11.6% at discharge. The median LUSS on admission was 27.5 [21-32.25], while on discharge was 31 [17.5-32.75] and 30.5 [27-32.75] in respectively survived and non-survived patients. On admission the median LUSS was equally distributed on the right hemithorax (13; 10.75-16) and the left hemithorax (15; 10.75-17).

conclusionsLUS collected in COVID-19 patients with acute respiratory failure at ICU admission and discharge appears to be characterized by predominantly lateral and posterior non-translobar C pattern and B2 pattern. The calculated LUSS remained elevated at discharge without significant difference from admission in both groups of survived and non-survived patients.

Identifiers

PMID33624222
PMCPMC7902088

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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.