About: On some factors determining the pressure drop across tracheal tubes during high-frequency percussive ventilation: a flow-independent model

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About: On some factors determining the pressure drop across tracheal tubes during high-frequency percussive ventilation: a flow-independent model Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	On some factors determining the pressure drop across tracheal tubes during high-frequency percussive ventilation: a flow-independent model
Creator	Agostino, · Ajčević, Miloš Comuzzi, Lucia Ferluga, Massimo Lena, Enrico Lucangelo, Umberto Zin, Walter
topic	covid:76ebebb49ecb763ddae09519361771250e3e0f91#this
Source	PMC
abstract	To provide an in vitro estimation of the pressure drop across tracheal tubes (ΔP(TT)) in the face of given pulsatile frequencies and peak pressures (P(work)) delivered by a high-frequency percussive ventilator (HFPV) applied to a lung model. Tracheal tubes (TT) 6.5, 7.5 and 8.0 were connected to a test lung simulating the respiratory system resistive (R = 5, 20, 50 cmH(2)O/L/s) and elastic (C = 10, 20, and 50 mL/cmH(2)O) loads. The model was ventilated by HFPV with a pulse inspiratory peak pressure (work pressure P(work)) augmented in 5-cmH(2)O steps from 20 to 45 cmH(2)O, yielding 6 diverse airflows. The percussive frequency (f) was set to 300, 500 and 700 cycles/min, respectively. Pressure (Paw and Ptr) and flow (V’) measurements were performed for all 162 possible combinations of loads, frequencies, and work pressures for each TT size, thus yielding 486 determinations. For each respiratory cycle ΔP(TT) was calculated by subtracting each peak Ptr from its corresponding peak Paw. A non-linear model was constructed to assess the relationships between single parameters. Performance of the produced model was measured in terms of root mean square error (RMSE) and the coefficient of determination (r(2)). ΔP(TT) was predicted by P(work) (exponential Gaussian relationship), resistance (quadratic and linear terms), frequency (quadratic and linear terms) and tube diameter (linear term), but not by compliance. RMSE of the model on the testing dataset was 1.17 cmH(2)O, r(2) was 0.79 and estimation error was lower than 1 cmH(2)O in 68% of cases. As a result, even without a flow value, the physician would be able to evaluate ΔP(TT) pressure. If the present results of our bench study could be clinically confirmed, the use of a nonconventional ventilatory strategy as HFPV, would be safer and easier.
has issue date	2020-06-25(xsd:dateTime)
bibo:doi	10.1007/s10877-020-00548-1
bibo:pmid	32588314
has license	no-cc
sha1sum (hex)	76ebebb49ecb763ddae09519361771250e3e0f91
schema:url	https://doi.org/10.1007/s10877-020-00548-1
resource representing a document's title	On some factors determining the pressure drop across tracheal tubes during high-frequency percussive ventilation: a flow-independent model
has PubMed Central identifier	PMC7316425
has PubMed identifier	32588314
schema:publication	J Clin Monit Comput
resource representing a document's body	covid:76ebebb49ecb763ddae09519361771250e3e0f91#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/76ebebb49ecb763ddae09519361771250e3e0f91
is schema:about of	named entity 'tube' named entity 'test' named entity 'Paw' named entity 'RMSE' named entity 'terms' named entity 'connected' named entity 'study' named entity 'POSSIBLE' named entity 'NON-LINEAR MODEL' named entity 'PRESENT' named entity 'ITS' named entity 'FREQUENCIES' named entity '28P' named entity 'VENTILATED' named entity 'USE OF' named entity 'ventilated' named entity 'term' named entity 'cycles' named entity 'produced' named entity 'The' named entity 'estimation' named entity 'result' named entity 'resistance' named entity 'physician' named entity 'measured' named entity 'root' named entity 'Performance' named entity 'dataset' named entity 'respiratory cycle' named entity 'determination' named entity 'face' named entity 'steps' named entity 'frequencies' named entity 'easier' named entity 'cmH' named entity 'yielding' named entity 'percussive' named entity 'tubes' named entity 'Tracheal tubes' named entity 'RMSE' named entity 'RMSE' named entity 'coefficient of determination' named entity 'tracheal tubes' named entity 'pressure drop' named entity 'model' named entity 'Matlab' named entity 'non-linear least squares' named entity 'pulsatile flow' named entity 'ventilator' named entity 'tracheal tube' named entity 'inertial effects' named entity 'Morristown' named entity 'dashed' named entity 'ventilator' named entity 'airway' named entity 'Lausanne' named entity 'Morgan Hill' named entity 'ventilator' named entity 'Italy' named entity 'High frequency ventilation' named entity 'measuring device' named entity 'Butterworth filter' named entity 'flow measurement' named entity 'mechanical ventilation' named entity 'pressure drop' named entity 'ventilator' named entity 'hemodynamics' named entity 'tracheal tube' named entity 'pulsatile flow' named entity 'tracheal tubes' named entity 'tracheal tube' named entity 'ICU' named entity 'physiological'

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