Evidence map›Paper›PMID 33293566›Full record

Trial reportScientific reports2020

Non-invasive pulmonary artery pressure estimation by electrical impedance tomography in a controlled hypoxemia study in healthy subjects.

Martin Proença, Fabian Braun, Mathieu Lemay, Josep Solà, Andy Adler, Thomas Riedel, Franz H Messerli, Jean-Philippe Thiran, Stefano F Rimoldi, Emrush Rexhaj

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. [Research progress on electrical impedance tomography in pulmonary perfusion].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
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 4 institutions in 2 countries.

Martin ProençaSystems Division, Swiss Center for Electronics and Microtechnology (CSEM), Neuchâtel, Switzerland. martin.proenca@csem.ch.
Fabian BraunSystems Division, Swiss Center for Electronics and Microtechnology (CSEM), Neuchâtel, Switzerland.
Mathieu LemaySystems Division, Swiss Center for Electronics and Microtechnology (CSEM), Neuchâtel, Switzerland.
Josep SolàSystems Division, Swiss Center for Electronics and Microtechnology (CSEM), Neuchâtel, Switzerland.
Andy AdlerSystems and Computer Engineering, Carleton University, Ottawa, Canada.
Thomas RiedelDepartment of Paediatrics, Cantonal Hospital Graubuenden, Chur, Switzerland.
Franz H MesserliDepartment of Cardiology and Clinical Research, Inselspital Bern, University Hospital, Bern, Switzerland.
Jean-Philippe ThiranSignal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Stefano F RimoldiDepartment of Cardiology and Clinical Research, Inselspital Bern, University Hospital, Bern, Switzerland.
Emrush RexhajDepartment of Cardiology and Clinical Research, Inselspital Bern, University Hospital, Bern, Switzerland.
Swiss Center for Electronics and Microtechnology (Switzerland) · CHUniversity Hospital of Bern · CHCarleton University · CAUniversity of Lausanne · CH

Funding

Swiss National Science Foundation 205321-153364Swiss National Science Foundation Nano-Tera project OBESENSE (no. 20NA21-1430801)
6 · The paper itself

Abstract

Pulmonary hypertension is a hemodynamic disorder defined by an abnormal elevation of pulmonary artery pressure (PAP). Current options for measuring PAP are limited in clinical practice. The aim of this study was to evaluate if electrical impedance tomography (EIT), a radiation-free and non-invasive monitoring technique, can be used for the continuous, unsupervised and safe monitoring of PAP. In 30 healthy volunteers we induced gradual increases in systolic PAP (SPAP) by exposure to normobaric hypoxemia. At various stages of the protocol, the SPAP of the subjects was estimated by transthoracic echocardiography. In parallel, in the pulmonary vasculature, pulse wave velocity was estimated by EIT and calibrated to pressure units. Within-cohort agreement between both methods on SPAP estimation was assessed through Bland-Altman analysis and at subject level, with Pearson's correlation coefficient. There was good agreement between the two methods (inter-method difference not significant (P > 0.05), bias ± standard deviation of - 0.1 ± 4.5 mmHg) independently of the degree of PAP, from baseline oxygen saturation levels to profound hypoxemia. At subject level, the median per-subject agreement was 0.7 ± 3.8 mmHg and Pearson's correlation coefficient 0.87 (P < 0.05). Our results demonstrate the feasibility of accurately assessing changes in SPAP by EIT in healthy volunteers. If confirmed in a patient population, the non-invasive and unsupervised day-to-day monitoring of SPAP could facilitate the clinical management of patients with pulmonary hypertension.

Indexed as

Arterial PressureAdultElectric ImpedanceFemaleHealthy VolunteersHumansHypertension, PulmonaryHypoxiaMalePulmonary ArteryTomography

Identifiers

PMID33293566
PMCPMC7722929
OpenAlexW3111576608

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.