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...
| Publicado en: | Respiratory Care Vol. 58; no. 5; pp. 770 - 778 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
May2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=108010613&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 108010613 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00201324 4GG jtl: Respiratory Care issn: 00201324 maglogo: N pubinfo: dt: May2013 vid: 58 iid: 5 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 108010613 87386384 10.4187/respcare.02010 NLM23051878 108010613 ppf: 770 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Effect of Leak and Breathing Pattern on the Accuracy of Tidal Volume Estimation by Commercial Home Ventilators: A Bench Study. aug: au: Luján, Manel Sogo, Ana Pomares, Xavier Monsó, Eduard Sales, Bernat Blanch, lluís affil: Department of Pneumology, Corporació Sanitaria Pare Tauli, Institut Universitari Pare Tauli, Universität Autónoma de Barcelona, Sabadell, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias. sug: subj: Home Oxygen Therapy Standards Tidal Volume Evaluation Respiration Evaluation Respiration, Artificial Equipment and Supplies Noninvasive Procedures Airway Pressure Education, Continuing (Credit) Funding Source Simulations Descriptive Statistics Analysis of Variance Post Hoc Analysis Linear Regression Confidence Intervals Data Analysis Software Algorithms Utilization ab: 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 pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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