Literature DB >> 26072157

Automated gas control with the Maquet FLOW-i.

Rik Carette1, Andre M De Wolf2, Jan F A Hendrickx3.   

Abstract

The FLOW-i anesthesia machine (Maquet, Solna, Sweden) can be equipped with automated gas control (AGC), an automated low flow tool with target control of the inspired oxygen concentration (FIO2) and end-expired concentration (FA) of a potent inhaled anesthetic. We examined the performance and quantitative aspects of the AGC. After IRB approval and individual informed consent, anesthesia in 24 ASA I-II patients undergoing abdominal or gynecological surgery was maintained with sevoflurane in O2/air with a target FIO2 of 40 % and a target sevoflurane FA (FAsevo) of 2.0 %. The AGC tool also allows the user to select 1 out of 9 different speeds with which the target FAsevo can be reached (with 9 being the fastest speed). Eight patients each were randomly assigned to speed 2, 4, and 6 (= group 2, group 4, and group 6, respectively); these three speeds were chosen arbitrarily. AGC was activated immediately after securing the airway, which defined the start of the study, and the study ended 60 min later. The following parameters were compared among the three groups: age, height, weight, FIO2, FAsevo, BIS values, heart rate, mean arterial blood pressure, fresh gas flow, and sevoflurane usage. Agent usage as reported by the FLOW-i was compared among the three groups. Patient demographics and maintenance FGF did not differ among groups. A very short-lived very high FGF (≈20 L min(-1) for 8-12 s) ensured that the target FIO2 was attained within 1-2 min in all patients. FAsevo was 1.8 % after 15, 10, and 6 min, and 1.9 % after 30, 20 and 15 min in groups 2, 4, and 6, respectively. Blood pressure, heart rate, and BIS values did not differ among the three groups. BIS values remained acceptable in all patients, even with the slowest speed. Cumulative agent usage differed among all three groups between 2 and 30 min (lower with the lower speed), and between group 2 and 6 between 35 and 60 min. AGC combines an exponentially decreasing FGF pattern with a choice of ramp functions for the end-expired target concentration of the inhaled anesthetic. Consequently, both FGF and the choice of speed become factors that influence agent usage. After 15 min, a 300 mL min(-1) maintenance FGF reduces agent usage to near closed-circuit conditions. This new addition to our automated low flow armamentarium helps to reduce anesthetic waste, cost, and pollution, while minimizing the ergonomic burden of low flow anesthesia.

Entities:  

Keywords:  Anesthesia machine; Automated low flow; Closed loop; Equipment; Target control

Mesh:

Substances:

Year:  2015        PMID: 26072157     DOI: 10.1007/s10877-015-9723-6

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  9 in total

1.  Individualized feedback of volatile agent use reduces fresh gas flow rate, but fails to favorably affect agent choice.

Authors:  S C Body; J Fanikos; D DePeiro; J H Philip; B S Segal
Journal:  Anesthesiology       Date:  1999-04       Impact factor: 7.892

2.  Continuous measurement of gas uptake and elimination in anesthetized patients using an extractable marker gas.

Authors:  Gavin J B Robinson; Philip J Peyton; David Terry; Shiva Malekzadeh; Bruce Thompson
Journal:  J Appl Physiol (1985)       Date:  2004-09

3.  Prevention of intraoperative awareness in a high-risk surgical population.

Authors:  Michael S Avidan; Eric Jacobsohn; David Glick; Beth A Burnside; Lini Zhang; Alex Villafranca; Leah Karl; Saima Kamal; Brian Torres; Michael O'Connor; Alex S Evers; Stephen Gradwohl; Nan Lin; Ben J Palanca; George A Mashour
Journal:  N Engl J Med       Date:  2011-08-18       Impact factor: 91.245

4.  O2, anybody?

Authors:  Jan F A Hendrickx; Andre M De Wolf; Stefan De Hert
Journal:  Eur J Anaesthesiol       Date:  2015-06       Impact factor: 4.330

5.  Automated control of end-tidal inhalation anaesthetic concentration using the GE Aisys Carestation™.

Authors:  S Singaravelu; P Barclay
Journal:  Br J Anaesth       Date:  2013-01-04       Impact factor: 9.166

6.  A response surface model approach for continuous measures of hypnotic and analgesic effect during sevoflurane-remifentanil interaction: quantifying the pharmacodynamic shift evoked by stimulation.

Authors:  Bjorn Heyse; Johannes H Proost; Laura N Hannivoort; Douglas J Eleveld; Martin Luginbühl; Michel M R F Struys; Hugo E M Vereecke
Journal:  Anesthesiology       Date:  2014-06       Impact factor: 7.892

7.  A ten-year audit of fresh gas flows in a New Zealand hospital: the influence of the introduction of automated agent delivery and comparisons with other hospitals.

Authors:  R R Kennedy; R A French
Journal:  Anaesth Intensive Care       Date:  2014-01       Impact factor: 1.669

8.  Interaction between nitrous oxide, sevoflurane, and opioids: a response surface approach.

Authors:  Hugo E M Vereecke; Johannes H Proost; Bjorn Heyse; Douglas J Eleveld; Takasumi Katoh; Martin Luginbühl; Michel M R F Struys
Journal:  Anesthesiology       Date:  2013-04       Impact factor: 7.892

9.  Desflurane Consumption During Automated Closed-circuit Delivery is Higher Than When a Conventional Anesthesia Machine is Used With a Simple Vaporizer-O₂-N₂O Fresh Gas Flow Sequence.

Authors:  Sofie De Cooman; Nathalie De Mey; Bram Bc Dewulf; Rik Carette; Thierry Deloof; Maurice Sosnowski; Andre M De Wolf; Jan Fa Hendrickx
Journal:  BMC Anesthesiol       Date:  2008-07-17       Impact factor: 2.217

  9 in total
  6 in total

Review 1.  Journal of clinical monitoring and computing 2016 end of year summary: anesthesia.

Authors:  Jan F A Hendrickx; Andre M De Wolf
Journal:  J Clin Monit Comput       Date:  2017-01-07       Impact factor: 2.502

2.  FLOW-i ventilator performance in the presence of a circle system leak.

Authors:  Umberto Lucangelo; Miloš Ajčević; Agostino Accardo; Massimo Borelli; Alberto Peratoner; Lucia Comuzzi; Walter A Zin
Journal:  J Clin Monit Comput       Date:  2016-04-09       Impact factor: 2.502

3.  Desflurane usage during anesthesia with and without N2O using FLOW-i Automatic Gas Control with three different wash-in speeds.

Authors:  Robrecht De Medts; Rik Carette; Andre M De Wolf; Jan F A Hendrickx
Journal:  J Clin Monit Comput       Date:  2017-06-09       Impact factor: 2.502

4.  Context-sensitive decrement times for inhaled anesthetics in obese patients explored with Gas Man®.

Authors:  Jonas Weber; Johannes Schmidt; Steffen Wirth; Stefan Schumann; James H Philip; Leopold H J Eberhart
Journal:  J Clin Monit Comput       Date:  2020-02-17       Impact factor: 2.502

5.  Wash-in and wash-out of sevoflurane in a test-lung model: A comparison between Aisys and FLOW-i.

Authors:  Petter Jakobsson; Madleine Lindgren; Jan G Jakobsson
Journal:  F1000Res       Date:  2017-03-29

6.  Feasibility, safety, and economic consequences of using minimal flow anaesthesia by Maquet FLOW-i equipped with automated gas control.

Authors:  Yusuf Z Colak; Hüseyin I Toprak
Journal:  Sci Rep       Date:  2021-10-08       Impact factor: 4.379

  6 in total

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