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Financial and Environmental Costs of Manual versus Automated Control of End-Tidal Gas Concentrations
Abstract
Emerging technologies that reduce the economic and environmental costs of anaesthesia have had limited assessment. We hypothesised that automated control of end-tidal gases, a new feature in anaesthesia machines, will consistently reduce volatile agent consumption cost and greenhouse gas emissions. As part of the planned replacement of anaesthesia machines in a tertiary hospital, we performed a prospective before and after study comparing the cost and greenhouse gas emissions of isoflurane, sevoflurane and desflurane when using manual versus automated control of end-tidal gases. We analysed 3675 general anaesthesia cases with inhalational agents: 1865 using manual control and 1810 using automated control. Volatile agent cost was $18.87/hour using manual control and $13.82/hour using automated control: mean decrease $5.05/hour (95% confidence interval: $0.88–9.22/hour, P=0.0243). The 100-year global warming potential decreased from 23.2 kg/hour of carbon dioxide equivalents to 13.0 kg/hour: mean decrease 10.2 kg/hour (95% confidence interval: 2.7–17.7 kg/hour, P=0.0179). Automated control reduced costs by 27%. Greenhouse gas emissions decreased by 44%, a greater than expected decrease facilitated by a proportional reduction in desflurane use. Automated control of end-tidal gases increases participation in low-flow anaesthesia with economic and environmental benefits.
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Switching from conventional fresh gas mode to an electronically controlled mode is associated with lower consumption of inhalational anesthetics, costs, and GHG emissions.
“Switching from conventional fresh gas mode to an electronically controlled mode such as “auto control” (Zeus IE®, Drägerwerk AG & Co. KGaA, Lübeck, Germany), “end-tidal control” (Aisys CS2®, General Electric Company, Boston, MA, USA), or “automated gas control” (FLOW-i®, Maquet, Solna, Sweden) is associated with lower consumption of inhalational anesthetics, costs, and GHG emissions.49”
From A call for immediate climate action in anesthesiology: routine use of minimal or metabolic fresh gas flow reduces our ecological footprint (2023) · cites this paper as [49]
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Metadata
- Authors
- Tay, S., Weinberg, L., Peyton, P., Story, D., & Briedis, J.
- Affiliations
- Northern Health (AU)
- The University of Melbourne (AU)
- Corresponding author
- Tay, S.
- Venue
- Anaesthesia and Intensive Care
- Publisher
- SAGE Publications
- Published
- 2013-01
- Volume
- 41
- Issue
- 1
- Pages
- 95-101
- ISSN
- 0310-057X (ISSN-L)
- 1448-0271
- OpenAlex
- W158752778
- Cited by
- 73
- References
- 27
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 11 · 2023: 9 · 2022: 5 · 2021: 3 · 2019: 7 · 2017: 3 · 2016: 3 · 2015: 1 · 2014: 7 · 2013: 2
- FWCI
- 5.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Anaesthesia and Intensive Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Sedative Agents
- Health Sciences › Medicine › Physiology (medical) › Biomedical and Chemical Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Surgery
- Keywords
- anesthesia machines, volatile anesthetics, isoflurane, sevoflurane, desflurane, anesthesia costs, greenhouse gas emissions, global warming potential, low-flow anesthesia, environmental impact of anesthesia
- MeSH terms
- Sevoflurane, Desflurane, Adolescent, Adult, Aged, Aged, 80 and over, Anesthesia, General, Automation, Carbon Dioxide, Child, Child, Preschool, Female, Hospitals, University, Humans, Infant, Isoflurane, Male, Methyl Ethers, Middle Aged, Prospective Studies, Drug Costs, Greenhouse Effect, Anesthetics, Inhalation, Young Adult, Global Warming
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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