Evidence map›Paper›PMID 29217332›Full record

ArticleClinical biomechanics (Bristol, Avon)2019

Revisiting high-frequency oscillatory ventilation in vitro and in silico in neonatal conductive airways.

Katrin Bauer, Eliram Nof, Josué Sznitman

Abstract read
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Katrin BauerInstitute of Mechanics and Fluid Dynamics, TU Bergakademie Freiberg, 09599 Freiberg, Germany. Electronic address: Katrin.Bauer@imfd.tu-freiberg.de.
Eliram NofDepartment of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel. Electronic address: eliram@campus.technion.ac.il.
Josué SznitmanDepartment of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel. Electronic address: sznitman@bm.technion.ac.il.
Technion – Israel Institute of Technology · ILTU Bergakademie Freiberg · DE

Funding

European Research Council 677772
6 · The paper itself

Abstract

backgroundHigh frequency oscillatory ventilation is often used for lung support in premature neonates suffering from respiratory distress syndrome. Despite its broad use in neonatal intensive care units, there are to date no accepted protocols for the choice of appropriate ventilation parameter settings. In this context, the underlying mass transport mechanisms are still not fully understood.

methodsWe revisit the question of flow phenomena under conventional mechanical ventilation and high frequency oscillatory ventilation in an anatomically-inspired model of neonatal conductive airways spanning the first few airway generations. We first perform at true scale in vitro particle image velocimetry measurements of respiratory flow patterns. Next, we explore in silico convective mass transport in computational fluid dynamics simulations by implementing Lagrangian tracking of tracer boli, where the ventilatory flow rate is fixed.

findingsParticle image velocimetry measurements at eight representative phase angles of a breathing cycle reveal similar flow patterns at peak velocity and during deceleration phases for conventional mechanical ventilation and high frequency oscillatory ventilation. Characteristic differences occur during the acceleration and flow reversal phases. Net displacements of the tracer particles rapidly reach asymptotic behaviour over cumulative breathing cycles and suggest a linear relation between tidal volume and convective mass transport.

interpretationThe linear relation observed suggests that differences in flow characteristics between conventional mechanical ventilation and high frequency oscillatory ventilation conditions do not substantially influence convective mass transport mechanisms. Lower tidal volumes thus cannot be compensated straightforwardly by selecting higher frequencies to maintain similar ventilation efficiencies.

Indexed as

High-Frequency VentilationComputer-Aided DesignComputer SimulationHumansHydrodynamicsImage Processing, Computer-AssistedInfantIn Vitro TechniquesLungLung InjuryModels, AnatomicOscillometryParticle SizeRespiratory Distress Syndrome, NewbornVentilationComputational fluid dynamicsFlow phenomenaHigh frequency oscillatory ventilationNeonatesParticle image velocimetry

Identifiers

PMID29217332
PMCPMC5860751
OpenAlexW2768435911

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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.