title: Determination of breath isoprene allows the identification of the expiratory fraction of the propofol breath signal during real-time propofol breath monitoring.
abstract: Real-time measurement of propofol in the breath may be used for routine clinical monitoring. However, this requires unequivocal identification of the expiratory phase of the respiratory propofol signal as only expiratory propofol reflects propofol blood concentrations. Determination of CO2 breath concentrations is the current gold standard for the identification of expiratory gas but usually requires additional equipment. Human breath also contains isoprene, a volatile organic compound with low inspiratory breath concentration and an expiratory concentration plateau. We investigated whether breath isoprene could be used similarly to CO2 to identify the expiratory fraction of the propofol breath signal. We investigated real-time breath data obtained from 40 study subjects during routine anesthesia. Propofol, isoprene, and CO2 breath concentrations were determined by a combined ion molecule reaction/electron impact mass spectrometry system. The expiratory propofol signal was identified according to breath CO2 and isoprene concentrations and presented as median of intervals of 30 s duration. Bland-Altman analysis was applied to detect differences (bias) in the expiratory propofol signal extracted by the two identification methods. We investigated propofol signals in a total of 3,590 observation intervals of 30 s duration in the 40 study subjects. In 51.4 % of the intervals (1,844/3,590) both methods extracted the same results for expiratory propofol signal. Overall bias between the two data extraction methods was -0.12 ppb. The lower and the upper limits of the 95 % CI were -0.69 and 0.45 ppb. Determination of isoprene breath concentrations allows the identification of the expiratory propofol signal during real-time breath monitoring.
authors.affiliation: Department of Anaesthesiology, Klinikum der Universität München, Marchioninistr. 15, 81377, Munich, Germany, cyrill.hornuss@med.uni-muenchen.de.
authors.forename: Cyrill
authors.initials: C
authors.lastname: Hornuss
authors.forename: Michael E
authors.initials: ME
authors.lastname: Dolch
authors.forename: Silke
authors.initials: S
authors.lastname: Janitza
authors.forename: Kimberly
authors.initials: K
authors.lastname: Souza
authors.forename: Siegfried
authors.initials: S
authors.lastname: Praun
authors.forename: Christian C
authors.initials: CC
authors.lastname: Apfel
authors.forename: Gustav
authors.initials: G
authors.lastname: Schelling
mesh_terms: D000465:Algorithms; D018686:Anesthetics, Intravenous / Q000008:administration & dosage / Q000032:analysis; D001944:Breath Tests / Q000379:methods*; D002070:Butadienes / Q000032:analysis*; D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D016903:Drug Monitoring / Q000379:methods*; D045853:Exhalation; D045782:Hemiterpenes / Q000032:analysis*; D006801:Humans; D007275:Injections, Intravenous; D010420:Pentanes / Q000032:analysis*; D015742:Propofol / Q000008:administration & dosage* / Q000032:analysis*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D018686:Anesthetics, Intravenous; D002070:Butadienes; D045782:Hemiterpenes; D010420:Pentanes; C005059:isoprene; D015742:Propofol