Evidence map›Paper›PMID 33197604›Full record

Observational studyRespiratory physiology & neurobiology2021

Diaphragmatic thickening fraction as a potential predictor of response to continuous positive airway pressure ventilation in Covid-19 pneumonia: A single-center pilot study.

Francesco Corradi, Luigi Vetrugno, Daniele Orso, Tiziana Bove, Annia Schreiber, Enrico Boero, Gregorio Santori, Alessandro Isirdi, Greta Barbieri, Francesco Forfori

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Respiratory physiology & neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 64 citations in OpenAlex.

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  12. Lung ultrasound score and diaphragm ultrasound in weaning from mechanical ventilation: are they different in patients with and without COVID-19?Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024
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  17. Sarcopenia and COVID-19 Outcomes.Clinical interventions in aging · 2023
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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

10 authors at 5 institutions in 2 countries.

Francesco CorradiDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Italy; Department of Anesthesiology. Ente Ospedaliero Ospedali Galliera, Genova, Italy. Electronic address: francesco.corradi@unipi.it.
Luigi VetrugnoDepartment of Medicine, University of Udine, Udine, Italy; Department of Anesthesia and Intensive Care, ASUFC Santa Maria Della Misericordia University Hospital of Udine, Udine, Italy.
Daniele OrsoDepartment of Medicine, University of Udine, Udine, Italy; Department of Anesthesia and Intensive Care, ASUFC Santa Maria Della Misericordia University Hospital of Udine, Udine, Italy.
Tiziana BoveDepartment of Medicine, University of Udine, Udine, Italy; Department of Anesthesia and Intensive Care, ASUFC Santa Maria Della Misericordia University Hospital of Udine, Udine, Italy.
Annia SchreiberInterdepartmental Division of Critical Care, University of Toronto, Unity Health Toronto (St Michael's Hospital) and the Li Ka Shing Knowledge Institute, Toronto, Canada.
Enrico BoeroDipartimento di Scienze Chirurgiche, Università Degli Studi di Torino, Turin, Italy.
Gregorio SantoriDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Alessandro IsirdiDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Italy.
Greta BarbieriDepartment of Clinical and Experimental Medicine, University of Pisa, Italy.
Francesco ForforiDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Italy.
University of Pisa · ITUniversity of Udine · ITSt. Michael's Hospital · CAUniversity of Genoa · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a variable number of Covid-19 patients with acute respiratory failure, non-invasive breathing support strategies cannot provide adequate oxygenation, thus making invasive mechanical ventilation necessary. Factors predicting this unfavorable outcome are unknown, but we hypothesized that diaphragmatic weakness may contribute.

methodsWe prospectively analyzed the data of 27 consecutive patients admitted to the general Intensive Care Unit (ICU) from March 19, 2020, to April 20, 2020 and submitted to continuous positive airway pressure (CPAP) before considering invasive ventilation. Diaphragmatic thickening fraction (DTF) inferred by ultrasound was determined before applying CPAP.

resultsEighteen patients recovered with CPAP, whereas nine required invasive mechanical ventilation with longer stay in ICU (p < 0.001) and hospital (p = 0.003). At univariate logistic regression analysis, CPAP failure was significantly associated with low DTF [β: -0.396; OR: 0.673; p < 0.001] and high respiratory rate [β: 0.452; OR: 1.572; p < 0.001] but only DTF reached statistical significance at multivariate analysis [β: -0.384; OR: 0.681; p < 0.001]. The DTF best threshold predicting CPAP failure was 21.4 % (AUC: 0.944; sensitivity: 94.4 %, specificity: 88.9 %).

conclusionsIn critically ill patients with Covid-19 respiratory failure admitted to ICU, a reduced DTF could be a potential predictor of CPAP failure and requirement of invasive ventilation.

Indexed as

Continuous Positive Airway PressureTreatment OutcomeAgedCOVID-19DiaphragmFemaleHumansMaleMiddle AgedPilot ProjectsRespiratory InsufficiencySARS-CoV-2UltrasonographyCovid-19Diaphragmatic thickening fractionICUNon-invasive ventilationPredictionRespiratory failure

Identifiers

PMID33197604
PMCPMC7664482
OpenAlexW3104975108

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.