Effect of Leak and Breathing Pattern on the Accuracy of Tidal Volume Estimation by Commercial Home Ventilators: A Bench Study.

BACKGROUND: New home ventilators are able to provide clinicians data of interest through built-in software. Monitoring of tidal volume (VT) is a key point in the assessment of the efficacy of home mechanical ventilation. OBJECTIVE: To assess the reliability of the VT). A direct relationship between...

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Detalles Bibliográficos
Publicado en:Respiratory Care Vol. 58; no. 5; pp. 770 - 778
Autores principales: Luján, Manel, Sogo, Ana, Pomares, Xavier, Monsó, Eduard, Sales, Bernat, Blanch, lluís
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Mary Ann Liebert, Inc. May2013
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:BACKGROUND: New home ventilators are able to provide clinicians data of interest through built-in software. Monitoring of tidal volume (VT) is a key point in the assessment of the efficacy of home mechanical ventilation. OBJECTIVE: To assess the reliability of the VT). A direct relationship between leak and underestimation was found in 4 ventilators, with higher underesti- mation provided by 5 ventilators in a bench test. METHODS: Five commercial ventilators from 4 different manufacturers were tested in pressure support mode with the help of a breathing simulator under different conditions of mechanical respiratory pattern, inflation pressure, and intentional leakage. Values provided by the built-in software of each ventilator were compared breath to breath with the VT monitored through an external pneumotachograph. Ten breaths for each condition were compared for every tested situation. RESULTS: All tested ventilators underestimated VT). A direct relationship between leak and underestimation was found in 4 ventilators, with higher underesti- mation (ranges of -21.7 mL to -83.5 mL, which corresponded to -3.6% to -14.7% of the externally measured VT). A direct relationship between leak and underestimation was found in 4 ventilators, with higher underesti- mations of the VT). A direct relationship between leak and underestimation was found in 4 ventilators, with higher underesti- mation when the leakage increased, ranging between -2.27% and -5.42% for each 10 L/min increase in the leakage. A ventilator that included an algorithm that computes the pressure loss through the tube as a function of the flow exiting the ventilator had the minimal effect of leaks on the estimation of VT). A direct relationship between leak and underestimation was found in 4 ventilators, with higher underesti- mation (0.3%). In 3 ventilators the underestimation was also influenced by mechanical pattern (lower underestimation with restrictive, and higher with obstructive). CONCLUSIONS: The inclusion of algorithms that calculate the pressure loss as a function of the flow exiting the ventilator in commercial models may increase the reliability of VT). A direct relationship between leak and underestimation was found in 4 ventilators, with higher underesti- mation estimation