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Validation of a Proposed Algorithm for Assistance Titration During Proportional Assist Ventilation With Load-Adjustable Gain Factors
- Source :
- Respiratory care. 65(1)
- Publication Year :
- 2019
-
Abstract
- BACKGROUND: The present study aimed to validate a recently proposed algorithm for assistance titration during proportional assist ventilation with load-adjustable gain factors, based on a noninvasive estimation of maximum inspiratory pressure (peak Pmus) and inspiratory effort (pressure-time product [PTP] peak Pmus). METHODS: Retrospective analysis of the recordings obtained from 26 subjects ventilated on proportional assist ventilation with load-adjustable gain factors under different conditions, each considered as an experimental case. The estimated inspiratory output (peak Pmus) and effort (PTP-peak Pmus) were compared with the actual-determined by the measurement of transdiaphragmatic pressure- and the derived PTP. Validation of the algorithm was performed by assessing the accuracy of peak Pmus in predicting the actual inspiratory muscle effort and indicating the appropriate level of assist. RESULTS: In the 63 experimental cases analyzed, a limited agreement was observed between the estimated and the actual inspiratory muscle pressure (−11 to 10 cm H2O) and effort (−82 to 125 cm H2O × s/min). The sensitivity and specificity of peak Pmus to predict the range of the actual inspiratory effort was 81.2% and 58.1%, respectively. In 49% of experimental cases, the level of assist indicated by the algorithm differed from that indicated by the transdiaphragmatic pressure and PTP. CONCLUSIONS: The proposed algorithm had limited accuracy in estimating inspiratory muscle effort and with indicating the appropriate level of assist.
- Subjects :
- Pulmonary and Respiratory Medicine
Maximum inspiratory pressure
business.industry
Transdiaphragmatic pressure
Inspiratory muscle
General Medicine
Critical Care and Intensive Care Medicine
Respiration, Artificial
Respiratory Muscles
03 medical and health sciences
0302 clinical medicine
Proportional Assist Ventilation
030228 respiratory system
Retrospective analysis
Tidal Volume
Medicine
Humans
Sensitivity (control systems)
business
Interactive Ventilatory Support
Respiratory Insufficiency
Algorithm
Algorithms
Retrospective Studies
Subjects
Details
- ISSN :
- 19433654
- Volume :
- 65
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Respiratory care
- Accession number :
- edsair.doi.dedup.....3ae946d2c11b4fe3446ae8d8d65bdebc