Cargando…
Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study
BACKGROUND: The dose of anaesthetic and opioid drugs must be continuously adjusted after the induction of general anaesthesia to maintain an adequate depth of anaesthesia. The TI.VA algorithm is a multiple-input/multiple-output algorithm designed to optimise the balance between anaesthetic and opioi...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457467/ https://www.ncbi.nlm.nih.gov/pubmed/37638086 http://dx.doi.org/10.1016/j.bjao.2023.100203 |
_version_ | 1785096931187359744 |
---|---|
author | Tognoli, Emiliano Luigi, Mariani |
author_facet | Tognoli, Emiliano Luigi, Mariani |
author_sort | Tognoli, Emiliano |
collection | PubMed |
description | BACKGROUND: The dose of anaesthetic and opioid drugs must be continuously adjusted after the induction of general anaesthesia to maintain an adequate depth of anaesthesia. The TI.VA algorithm is a multiple-input/multiple-output algorithm designed to optimise the balance between anaesthetic and opioid concentrations during general anaesthesia. It applies vector analysis to a two-dimensional matrix to quantify any inadequacy of the depth of anaesthesia at any given moment and determine any drug dose adjustments required to achieve an adequate depth of anaesthesia. This study aimed to capture preliminary data on the performance and safety of the TI.VA algorithm during total i.v. anaesthesia in patients. METHODS: This prospective study enrolled nine patients with breast cancer scheduled to undergo surgery. General anaesthesia was induced under manual control using propofol and remifentanil. Anaesthesia was guided using the TI.VA algorithm from skin incision until surgical resection was completed. The quality of anaesthesia was assessed through an analysis of performance errors. A bispectral index global score (GS(BIS)) <50 was considered an acceptable target for algorithm performance. RESULTS: All nine procedures were completed without any adverse events and none of the patients recalled any intraoperative event. Overall, we analysed 3417 monitoring points corresponding to 285 min of surgery. All patients presented a GS(BIS) below the cut-off value of 50. CONCLUSIONS: The TI.VA algorithm provides adequate control of clinical anaesthesia. A more sophisticated prototype needs to be developed before the trial is expanded to include larger patient populations. CLINICAL TRIAL REGISTRATION: NCT05199883. |
format | Online Article Text |
id | pubmed-10457467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104574672023-08-27 Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study Tognoli, Emiliano Luigi, Mariani BJA Open Pilot Study BACKGROUND: The dose of anaesthetic and opioid drugs must be continuously adjusted after the induction of general anaesthesia to maintain an adequate depth of anaesthesia. The TI.VA algorithm is a multiple-input/multiple-output algorithm designed to optimise the balance between anaesthetic and opioid concentrations during general anaesthesia. It applies vector analysis to a two-dimensional matrix to quantify any inadequacy of the depth of anaesthesia at any given moment and determine any drug dose adjustments required to achieve an adequate depth of anaesthesia. This study aimed to capture preliminary data on the performance and safety of the TI.VA algorithm during total i.v. anaesthesia in patients. METHODS: This prospective study enrolled nine patients with breast cancer scheduled to undergo surgery. General anaesthesia was induced under manual control using propofol and remifentanil. Anaesthesia was guided using the TI.VA algorithm from skin incision until surgical resection was completed. The quality of anaesthesia was assessed through an analysis of performance errors. A bispectral index global score (GS(BIS)) <50 was considered an acceptable target for algorithm performance. RESULTS: All nine procedures were completed without any adverse events and none of the patients recalled any intraoperative event. Overall, we analysed 3417 monitoring points corresponding to 285 min of surgery. All patients presented a GS(BIS) below the cut-off value of 50. CONCLUSIONS: The TI.VA algorithm provides adequate control of clinical anaesthesia. A more sophisticated prototype needs to be developed before the trial is expanded to include larger patient populations. CLINICAL TRIAL REGISTRATION: NCT05199883. Elsevier 2023-06-16 /pmc/articles/PMC10457467/ /pubmed/37638086 http://dx.doi.org/10.1016/j.bjao.2023.100203 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Pilot Study Tognoli, Emiliano Luigi, Mariani Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study |
title | Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study |
title_full | Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study |
title_fullStr | Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study |
title_full_unstemmed | Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study |
title_short | Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study |
title_sort | using the ti.va algorithm to titrate the depth of general anaesthesia: a first-in-humans study |
topic | Pilot Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457467/ https://www.ncbi.nlm.nih.gov/pubmed/37638086 http://dx.doi.org/10.1016/j.bjao.2023.100203 |
work_keys_str_mv | AT tognoliemiliano usingthetivaalgorithmtotitratethedepthofgeneralanaesthesiaafirstinhumansstudy AT luigimariani usingthetivaalgorithmtotitratethedepthofgeneralanaesthesiaafirstinhumansstudy |