Evidence map›Paper›PMID 35312682›Full record

Observational studyPloS one2022

Monitoring respiratory mechanics by oscillometry in COVID-19 patients receiving non-invasive respiratory support.

Chiara Torregiani, Chiara Veneroni, Paola Confalonieri, Gloria Maria Citton, Francesco Salton, Mohamad Jaber, Marco Confalonieri, Raffaele Lorenzo Dellaca'

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

8 authors at 2 institutions in 1 country.

Chiara TorregianiDepartment of Pulmonology, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.ORCID 0000-0001-9110-3029
Chiara VeneroniDepartment of Electronics, Information and Biomedical Engineering (DEIB), TechRes Lab, Politecnico di Milano University, Milan, Italy.ORCID 0000-0002-8607-1728
Paola ConfalonieriDepartment of Pulmonology, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.
Gloria Maria CittonDepartment of Pulmonology, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.
Francesco SaltonDepartment of Pulmonology, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.
Mohamad JaberDepartment of Pulmonology, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.
Marco ConfalonieriDepartment of Pulmonology, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.
Raffaele Lorenzo Dellaca'Department of Electronics, Information and Biomedical Engineering (DEIB), TechRes Lab, Politecnico di Milano University, Milan, Italy.
Azienda Sanitaria Universitaria Integrata di Trieste · ITPolitecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-invasive ventilation (NIV) has been increasingly used in COVID-19 patients. The limited physiological monitoring and the unavailability of respiratory mechanic measures, usually obtainable during invasive ventilation, is a limitation of NIV for ARDS and COVID-19 patients management.

objectivesThis pilot study was aimed to evaluate the feasibility of non-invasively monitoring respiratory mechanics by oscillometry in COVID-19 patients with moderate-severe acute respiratory distress syndrome (ARDS) receiving NIV.

method15 COVID-19 patients affected by moderate-severe ARDS at the RICU (Respiratory Intensive Care Unit) of the University hospital of Cattinara, Trieste, Italy were recruited. Patients underwent oscillometry tests during short periods of spontaneous breathing between NIV sessions.

resultsOscillometry proved to be feasible, reproducible and well-tolerated by patients. At admission, 8 of the 15 patients showed oscillometry parameters within the normal range which further slightly improved before discharge. At discharge, four patients had still abnormal respiratory mechanics, not exclusively linked to pre-existing respiratory comorbidities. Lung mechanics parameters were not correlated with oxygenation.

conclusionsOur results suggest that lung mechanics provide complementary information for improving patients phenotyping and personalisation of treatments during NIV in COVID 19 patients, especially in the presence of respiratory comorbidities where deterioration of lung mechanics may be less coupled with changes in oxygenation and more difficult to identify. Oscillometry may provide a valuable tool for monitoring lung mechanics in COVID 19 patients receiving NIV.

Indexed as

AdultAgedCOVID-19Feasibility StudiesFemaleHumansItalyLungMaleMiddle AgedNoninvasive VentilationOscillometryPilot ProjectsRespiratory Distress SyndromeRespiratory MechanicsRetrospective Studies

Identifiers

PMID35312682
PMCPMC8936489
OpenAlexW4220808349

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.