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Development and validation of a model to calculate anesthetic agent consumption from inspired and end-expired concentrations, minute ventilation, fresh gas flow and dead space ventilation.
Cuveele, Louise; Hendrickx, Jan F A; De Wolf, Andre M; De Cooman, Sofie; Chesebro, Brian B; Feldman, Jeffrey; Sherman, Jodi.
Affiliation
  • Cuveele L; Resident, Department of Anesthesiology, OLV Hospital, Aalst, Belgium.
  • Hendrickx JFA; Department of Anesthesiology, UZ Leuven, Louvain, Belgium.
  • De Wolf AM; Department of Cardiovascular Sciences, KULeuven, Louvain, Belgium.
  • De Cooman S; Staff Anesthesiologist, Department of Anesthesiology, OLV Hospital, Aalst, Belgium. jcnwahendrickx@yahoo.com.
  • Chesebro BB; Department of Anesthesiology, UZ Leuven, Louvain, Belgium. jcnwahendrickx@yahoo.com.
  • Feldman J; Department of Cardiovascular Sciences, KULeuven, Louvain, Belgium. jcnwahendrickx@yahoo.com.
  • Sherman J; Professor of Anesthesiology and Perioperative Medicine, Department of Basic and Applied Medical Sciences, Ghent University, Ghent, Belgium. jcnwahendrickx@yahoo.com.
J Clin Monit Comput ; 37(1): 227-235, 2023 02.
Article in En | MEDLINE | ID: mdl-35708832
Anesthetic agent consumption is often calculated as the product of fresh gas flow (FGF) and vaporizer dial setting (FVAP). Because FVAP of conventional vaporizers is not registered in automated anesthesia records, retrospective agent consumption studies are hampered. The current study examines how FVAP can be retrospectively calculated from the agent's inspired (FIN) and end-expired concentration (FET), FGF, and minute ventilation (MV). Theoretical analysis of agent mass balances in the circle breathing reveals FVAP = [FIN - (dead space fraction * FIN + (1 - dead space fraction) * FET) * (1 - FGF/MV)]/(1-(1 - FGF/MV)). FIN, FET, FGF and MV are routinely monitored, but dead space fraction is unknown. Dead space fraction for sevoflurane, desflurane, and isoflurane was therefore determined empirically from an unpublished data set of 161 patient containing FVAP, FIN, FET, MV and FGF ranging from 0.25 to 8 L/min delivered via an ADU® (GE, Madison, WI, USA). Dead space fraction for each agent was determined empirically by having Excel's solver function calculate the value of dead space fraction that minimized the sum of the squared differences between dialed FVAP and predicted FVAP. With dead space fraction known, the model was then prospectively tested for sevoflurane in O2/air using data collected over the course of two weeks with one FLOW-i (Getinge, Solna, Sweden) and one Zeus workstation (Dräger, Lübeck, Germany). Because both workstations use an electronically controlled vaporizer/injector, the dialed FVAP were available to allow the calculation of median performance error (MDPE) and median absolute performance error (MDAPE). MDPE and MDAP are reported as median and interquartiles. The empirical dead space fraction for isoflurane, sevoflurane, and desflurane were 0.59, 0.49, and 0.66, respectively. For prospective testing, a total of 149.4 h of useful data were collected from 78 patient with the Zeus and Flow-i combined, with FGF ranging from 0.18 to 8 L/min. The model predicted dialed FVAP well, with a MDPE of -1 (-11, 6) % and MDAPE of 8 (4, 17) %. FVAP can be retrospectively calculated from FIN, FET, FGF, and MV plus an agent specific dead space fraction factor with a degree of error that we believe suffices for retrospective sevoflurane consumption analyses. Performance with other agents and N2O awaits further validation.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Anesthetics, Inhalation / Isoflurane / Methyl Ethers Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Clin Monit Comput Journal subject: INFORMATICA MEDICA / MEDICINA Year: 2023 Document type: Article Affiliation country: Belgium Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Anesthetics, Inhalation / Isoflurane / Methyl Ethers Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Clin Monit Comput Journal subject: INFORMATICA MEDICA / MEDICINA Year: 2023 Document type: Article Affiliation country: Belgium Country of publication: Netherlands