Evidence map›Paper›PMID 42809073›Full record

ArticleIntensive care medicine experimental2026

Continuous monitoring of endotracheal tube obstructions using naturally occurring pressure and flow oscillations.

Ben Fabry, Christian Kuster, Roland C E Francis

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Article in Intensive care medicine experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ben FabryDepartment of Physics, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany. ben.fabry@fau.de.ORCID http://orcid.org/0000-0003-1737-0465
Christian KusterDepartment of Physics, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Roland C E FrancisDepartment of Anesthesiology, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe endotracheal tube resistance dominates the total airway resistance in most intubated patients. Mucus deposition and biofilm formation can rapidly increase tube resistance and thereby contribute to serious ventilatory impairments, including dynamic hyperinflation, intrinsic PEEP build-up, added work of breathing, and patient-ventilator asynchrony. During controlled mechanical ventilation, an increased tube resistance can be inferred from the difference between peak and plateau pressure, but this approach fails during pressure-supported spontaneous breathing.

methodsWe present a method that estimates the linear and nonlinear components of tube resistance from naturally occurring airway pressure and flow fluctuations at the airway opening, without a tracheal pressure sensor and without imposed forced oscillations. This is achieved by solving the equation of motion using band-pass filtered airway pressure and flow signals. Band-pass filtering isolates the relevant resistive and inertive pressure losses across the tube by removing slow contributions from muscle pressure and lung elastance as well as high-frequency noise.

resultsAcross different ventilation modes, ventilator settings, tube diameters, filters, and breathing patterns, the method recovers both linear and nonlinear tube resistance parameters with < 10% error and < 2% bias. The method can also track progressive tube obstruction on a breath-by-breath basis.

conclusionsContinuous estimation of the endotracheal tube resistance from naturally occurring, ventilator-induced airway pressure and flow fluctuations enables breath-by-breath detection of tube obstruction and provides the parameters required for automatic tube resistance compensation during spontaneous breathing. This approach may improve patient safety, reduce patient-ventilator asynchrony, and facilitate weaning.

Identifiers

PMID42809073
PMCPMC13624231

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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.