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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9305953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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