The TI.VA Algorithm: A First-in-Humans Test.
TIVAly
The TI.VA Algorithm: Vector Analysis Applied to a Decision-Making Matrix to Model the Reactive Control Strategy During General Anesthesia: a First-in-Humans Test.
1 other identifier
interventional
5
1 country
1
Brief Summary
The TI.VA algorithm is a new method to titrate the anesthetic drug concentrations whenever the planned level of anesthesia results to be not appropriate to blunt the patient's reaction to surgical stimulation. TI.VA is a multiple inputs/multiple outputs algorithm. The control variables are the bispectral index (BIS) and the mean arterial pressure (MAP) combined in a decision-making matrix. The optimal range for the two control variables (BIS: 540-60 and MAP: 65-75 mmHg) identified the Optimal Anesthesia Zone (OAZ) at the center of the matrix. Any time one or both control variables escape from the PAZ, the algorithm proposes an intervention on the hypnotic and/or opioid levels (algorithm outputs). A First-in-Humans study was designed to capture preliminary data on the safety and performance of the TI.VA algorithm.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Dec 2020
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2021
CompletedFirst Submitted
Initial submission to the registry
October 21, 2021
CompletedFirst Posted
Study publicly available on registry
January 20, 2022
CompletedFebruary 3, 2022
January 1, 2022
2 months
October 21, 2021
January 19, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Adverse Events
An adverse event is defined as any untoward medical occurrence in the study period. Intra-operative adverse events were reported using the institutional incident reporting system. Data was collected in the time between skin incision and the completion of surgical resection.
during the surgical procedure intervention
Secondary Outcomes (2)
Stability of the Control Variables
during the surgical procedure intervention
Performance Error analysis
during the surgical procedure intervention
Study Arms (1)
TI.VA group
EXPERIMENTALThe titration of Propofol and Remifentanil levels will be guided by TI.VA algorithm in the time between skin incision and completion of surgical resection.
Interventions
TI.VA algorithm uses BIS and MAP values as control variables to suggest the intervention on propofol and remifentanil levels.
Eligibility Criteria
You may qualify if:
- age 18-65 years at the time of recruitment.
- candidates for curative surgery for breast cancer.
- American Society of Anaesthesiologists (ASA) status I/II.
You may not qualify if:
- ASA status \> II.
- counter-indications for use of the drugs employed in this protocol.
- pregnancy or lactation.
- incapacity to understand the study explanation and sign the informed consent form.
- These criteria were selected according to the risk mitigation strategy described in the protocol.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fondazione IRCCS Istituto Nazionale dei Tumori
Milan, 20133, Italy
Related Publications (5)
Brown EN, Lydic R, Schiff ND. General anesthesia, sleep, and coma. N Engl J Med. 2010 Dec 30;363(27):2638-50. doi: 10.1056/NEJMra0808281. No abstract available.
PMID: 21190458BACKGROUNDA.R. Absalom, MMRF Struys. Overview on Target Controlled Infusion and Total Intravenous Anaesthesia. 2Ed. Gent, Academia Press 2019.
BACKGROUNDAbsalom AR, De Keyser R, Struys MM. Closed loop anesthesia: are we getting close to finding the holy grail? Anesth Analg. 2011 Mar;112(3):516-8. doi: 10.1213/ANE.0b013e318203f5ad. No abstract available.
PMID: 21350226BACKGROUNDVarvel JR, Donoho DL, Shafer SL. Measuring the predictive performance of computer-controlled infusion pumps. J Pharmacokinet Biopharm. 1992 Feb;20(1):63-94. doi: 10.1007/BF01143186.
PMID: 1588504BACKGROUNDTognoli E, Luigi M. Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study. BJA Open. 2023 Jun 16;7:100203. doi: 10.1016/j.bjao.2023.100203. eCollection 2023 Sep.
PMID: 37638086DERIVED
Study Officials
- PRINCIPAL INVESTIGATOR
Emiliano Tognoli, MD
Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
October 21, 2021
First Posted
January 20, 2022
Study Start
December 1, 2020
Primary Completion
January 31, 2021
Study Completion
January 31, 2021
Last Updated
February 3, 2022
Record last verified: 2022-01
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- CSR
- Time Frame
- Nov 2021
- Access Criteria
- free
all IPD that underlie results in a publication