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Online exhaled propofol monitoring in normal‐weight and obese surgical patients

BACKGROUND: Ion mobility spectrometry (IMS) allows for online quantification of exhaled propofol concentrations. We aimed to validate a bedside online IMS device, the Edmon(®), for predicting plasma concentrations of propofol in normal‐weight and obese patients. METHODS: Patients with body mass inde...

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Autores principales: Braathen, Martin R., Rimstad, Ivan, Dybvik, Terje, Nygård, Ståle, Ræder, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305953/
https://www.ncbi.nlm.nih.gov/pubmed/35138633
http://dx.doi.org/10.1111/aas.14043
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author Braathen, Martin R.
Rimstad, Ivan
Dybvik, Terje
Nygård, Ståle
Ræder, Johan
author_facet Braathen, Martin R.
Rimstad, Ivan
Dybvik, Terje
Nygård, Ståle
Ræder, Johan
author_sort Braathen, Martin R.
collection PubMed
description BACKGROUND: Ion mobility spectrometry (IMS) allows for online quantification of exhaled propofol concentrations. We aimed to validate a bedside online IMS device, the Edmon(®), for predicting plasma concentrations of propofol in normal‐weight and obese patients. METHODS: Patients with body mass index (BMI) >20 kg/m(2) scheduled for laparoscopic cholecystectomy or bariatric surgery were recruited. Exhaled propofol concentrations (C(A)), arterial plasma propofol concentrations (C(P)) and bispectral index (BIS) values were collected during target‐controlled infusion (TCI) anaesthesia. Generalised estimation equation (GEE) was applied to all samples and stable‐phase samples at different delays for best fit between C(P) and C(A). BMI was evaluated as covariate. BIS and exhaled propofol correlations were also assessed with GEE. RESULTS: A total of 29 patients (BMI 20.3–53.7) were included. A maximal R (2) of 0.58 was found during stable concentrations with 5 min delay of C(A) to C(P); the intercept a = −0.69 (95% CI −1.7, 0.3) and slope b = 0.87 (95% CI 0.7, 1.1). BMI was found to be a non‐significant covariate. The median absolute performance error predicting plasma propofol concentrations was 13.4%. At a C(A) of 5 ppb, the model predicts a C(P) of 3.6 μg/ml (95% CI ±1.4). There was a maximal negative correlation of R (2) = 0.44 at 2‐min delay from C(A) to BIS. CONCLUSIONS: Online monitoring of exhaled propofol concentrations is clinically feasible in normal‐weight and obese patients. With a 5‐min delay, our model outperforms the Marsh plasma TCI model in a post hoc analysis. Modest correlation with plasma concentrations makes the clinical usefulness questionable.
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spelling pubmed-93059532022-07-28 Online exhaled propofol monitoring in normal‐weight and obese surgical patients Braathen, Martin R. Rimstad, Ivan Dybvik, Terje Nygård, Ståle Ræder, Johan Acta Anaesthesiol Scand General Anaesthesia BACKGROUND: Ion mobility spectrometry (IMS) allows for online quantification of exhaled propofol concentrations. We aimed to validate a bedside online IMS device, the Edmon(®), for predicting plasma concentrations of propofol in normal‐weight and obese patients. METHODS: Patients with body mass index (BMI) >20 kg/m(2) scheduled for laparoscopic cholecystectomy or bariatric surgery were recruited. Exhaled propofol concentrations (C(A)), arterial plasma propofol concentrations (C(P)) and bispectral index (BIS) values were collected during target‐controlled infusion (TCI) anaesthesia. Generalised estimation equation (GEE) was applied to all samples and stable‐phase samples at different delays for best fit between C(P) and C(A). BMI was evaluated as covariate. BIS and exhaled propofol correlations were also assessed with GEE. RESULTS: A total of 29 patients (BMI 20.3–53.7) were included. A maximal R (2) of 0.58 was found during stable concentrations with 5 min delay of C(A) to C(P); the intercept a = −0.69 (95% CI −1.7, 0.3) and slope b = 0.87 (95% CI 0.7, 1.1). BMI was found to be a non‐significant covariate. The median absolute performance error predicting plasma propofol concentrations was 13.4%. At a C(A) of 5 ppb, the model predicts a C(P) of 3.6 μg/ml (95% CI ±1.4). There was a maximal negative correlation of R (2) = 0.44 at 2‐min delay from C(A) to BIS. CONCLUSIONS: Online monitoring of exhaled propofol concentrations is clinically feasible in normal‐weight and obese patients. With a 5‐min delay, our model outperforms the Marsh plasma TCI model in a post hoc analysis. Modest correlation with plasma concentrations makes the clinical usefulness questionable. John Wiley and Sons Inc. 2022-02-19 2022-05 /pmc/articles/PMC9305953/ /pubmed/35138633 http://dx.doi.org/10.1111/aas.14043 Text en © 2022 The Authors. Acta Anaesthesiologica Scandinavica published by John Wiley & Sons Ltd on behalf of Acta Anaesthesiologica Scandinavica Foundation. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle General Anaesthesia
Braathen, Martin R.
Rimstad, Ivan
Dybvik, Terje
Nygård, Ståle
Ræder, Johan
Online exhaled propofol monitoring in normal‐weight and obese surgical patients
title Online exhaled propofol monitoring in normal‐weight and obese surgical patients
title_full Online exhaled propofol monitoring in normal‐weight and obese surgical patients
title_fullStr Online exhaled propofol monitoring in normal‐weight and obese surgical patients
title_full_unstemmed Online exhaled propofol monitoring in normal‐weight and obese surgical patients
title_short Online exhaled propofol monitoring in normal‐weight and obese surgical patients
title_sort online exhaled propofol monitoring in normal‐weight and obese surgical patients
topic General Anaesthesia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305953/
https://www.ncbi.nlm.nih.gov/pubmed/35138633
http://dx.doi.org/10.1111/aas.14043
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