A method for monitoring and improving patient: ventilator interaction
β Scribed by Magdy Younes; Laurent Brochard; Salvatore Grasso; John Kun; Jordi Mancebo; Marco Ranieri; Jean-Christophe Richard; Henry Younes
- Book ID
- 105834959
- Publisher
- Springer
- Year
- 2007
- Tongue
- English
- Weight
- 717 KB
- Volume
- 33
- Category
- Article
- ISSN
- 1432-1238
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β¦ Synopsis
Objective: To evaluate a new approach for monitoring and improving patient-ventilator interaction that utilizes a signal generated by the equation of motion, using improvised values for resistance and elastance obtained noninvasively. Design and setting: Observational study in intensive care units in five European centers. Patients: We studied 21 stable patients instrumented with esophageal/gastric catheters for a previous study and ventilated alternately with pressure support (PSV) and proportional assist (PAV) ventilation with a Tyco 840 ventilator. Measurements and results: Previously recorded digital files were analyzed in real-time by a prototype incorporating the new technology (PVI monitor, YRT, Winnipeg, Canada). Actual onsets (P DI -T ONSET ) and ends (P DI -T END ) of inspiratory efforts, ineffective efforts, and patient respiratory rate were identified visually from transdiaphragmatic or calculated respiratory muscle pressure. Monitor-identified T ONSET occurred 0.107 Β± 0.074 s after P DI -T ONSET , substantially less than trigger delay observed with conventional triggering (0.326 Β± 0.086 s). End of effort was identified 0.097 Β± 0.096 s after P DI -T END , significantly less than actual cycling-off delay during PSV (0.486 Β± 0.307 s) or PAV (0.277 Β± 0.084 s). The monitor detected 80% of ineffective efforts. There was excellent agreement between monitor-estimated respiratory rate and actual patient rate over a wide range (17-59/min) of patient rates (mean ( Β± SD) of difference -0.2 Β± 1.9/min for pressure support and 0.2 Β± 0.9/min for proportional assist) even when large discrepancies existed (> 35/min) between patient and ventilator rates. Conclusions: The proposed approach should make it possible to improve patient-ventilator interaction and to obtain accurate estimates of true patient respiratory rate when there is nonsynchrony.
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