Evidence map›Paper›PMID 41568251›Full record

ArticleJournal of the colleges of medicine of South Africa2025

Sevoflurane usage and fresh gas flows in Maquet anaesthetic machines at an academic hospital.

Aobakwe R Setlhare, Kylesh D Pegu, Mathabe Sehlapelo

Abstract read
In one paragraph

Article in Journal of the colleges of medicine of South Africa, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Aobakwe R SetlhareDepartment of Anaesthesiology, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0009-0002-6418-3275
Kylesh D PeguAnaesthesiologist in Private Practice, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-3977-3030
Mathabe SehlapeloDepartment of Anaesthesiology, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0009-0001-5351-5396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low-flow anaesthesia (LFA) is crucial in combating rising healthcare costs and the global threat of climate change. This study analysed the conduct of inhalational anaesthesia at a Johannesburg Academic Hospital to determine fresh gas flows (FGF) and liquid agent consumption (LAC) at various stages of anaesthesia. Methods: A prospective, contextual research design was followed. Purposive sampling method was used in 10 theatres equipped with Maquet Flow-i® anaesthetic machines. Calculated LAC values were compared to those measured by the anaesthetic machines. Results: The average FGF during induction, maintenance and time-weighted case average were 7.07 L/min, 1.41 L/min and 1.73 L/min, respectively. The average end-tidal sevoflurane concentration during maintenance was 2.40%. The calculated average LAC for induction, maintenance and total case were 7.74 mL, 28.01 mL and 36.84 mL, respectively, while the hourly LAC was 16.71 mL/h. The calculated case average LAC overestimated the measured values by 4.14 ± 4.86 mL (12.98%), with 98.5% of values being within ± 1.96 standard deviation (s.d.). Despite its brevity, the induction phase accounted for 21% of the calculated LAC. The calculated liquid agent expenditure over time was ZAR54.32 ± 23.55/h. Case average FGF had a very high positive correlation with the calculated cost of sevoflurane, Conclusion: This study demonstrated that the prevailing use of medium-flow anaesthesia among anaesthetists at our institution resulted in significant sevoflurane wastage, increased expenditure and environmental pollution. Contribution: The study provides insight into anaesthesia practices at an academic hospital. It highlights the need to implement policies to standardise LFA as a cost-saving and environmentally friendly strategy.

Indexed as

costcost-containmentenvironmentlow-flow anaesthesiaMaquet Flow-i®sevofluraneSouth Africa

Identifiers

PMID41568251
PMCPMC12817318

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.