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S
TIVA and TCI
Dr Jim Hoyle FRCA FFICM Consultant in Neuroanaesthesia and Neuro Critical Care
1A02
Objectives
1. Benefits and priniciples of TIVA 1A02
2. Pharmacokinetics
3. Manual vs. TCI TIVA
4. Schnider vs. Marsh
5. Weight
6. Future improvements
S
Why TIVA
Benefits of TIVA
S Rapid recovery of consciousness and psychomotor function
S Earlier recovery and discharge from PACU
S Use with neurophysiological monitoring
S Anti-emetic benefits
S No adverse effects on theatre personnel or the environment
S No Malignant Hyperthermia
S Preserves Hypoxic Pulmonary Vasoconstriction
S
TIVA principles
TIVA anaesthesia requirements:
S Rapidly achieve an appropriate blood and brain concentration
of Propofol
S Maintain that concentration of Propofol
S Adjust the level as required
S Can use manual or automated infusions
S How achieved requires some knowledge of Propofol
pharmacokinetics
S
Pharmacokinetics
S
3 Compartment Model
• Drug injected into Central compartment V1
• Initial volume of distribution
• Comparable to ‘plasma’
• Redistribution into second compartment (V2)
• “vessel-rich” or “fast”
• Redistribution into third compartment (V3)
• “vessel-poor” or “slow”
• Governed by rate constant / concentration gradient
• Exponential process
• Elimination
• Fixed rate
Achieving a constant plasma
level
S Initial bolus quite easy to calculate
= Concentration x Volume of distribution (V1)
S Maintenance infusion rate more difficult
S Has to match rate of decline of plasma Propofol level
S Initially high rate due to rapid redistribution
S Reduces over time as V2 & V3 fill up
S Ultimately just matches elimination
Manual infusions
S Fixed rate infusions take 5 half-lives to reach steady state -
up to 24 hours for Propofol
Bristol regime
3 mcg/ml
But:
S Changes to infusion rate will not lead to changes in blood
concentration for some time
S Manual boluses have to be given to rapidly change depth
S Size of bolus has to be ‘guestimated’
S May result in excessive side effects or awareness
S TCI systems automate the whole process
TCI
S Target Controlled Infusions
S Multi-compartment pharmacokinetic models used to
calculate infusion rate required to achieve the target
concentration.
S “open-loop” systems
S Comprised of a user interface, a microprocessor and an
infusion device
Alaris Asena® PK (Alaris Medical Systems)
Base Primea (Fresenius)
How does it work?
S Models have sizes and rate constants for the various
compartments programmed in
S Allows pump to calculate rate of Propofol redistribution and
elimination at a given time
S Initial bolus to achieve rapid rise in plasma level
S 3 superimposed infusion rates to match the rate at which drug is
being removed from the central compartment
How does it work?
S If user wishes to increase the plasma level then pump will
calculate and give a bolus
S If user wishes to decrease the level then the pump will stop
and allow the level to fall before restarting
S
Plasma vs Effect site
Targeting
S The clinical effect of Propofol is related to brain
concentration = effect site
S With plasma targeting there is a lag between achieving the
plasma level and the brain level catching up
S Therefore lag in induction and lag in changing depth of
anaesthesia
Equilibrium between blood and effect-site depends on several factors:
• Rate of drug delivery to effect-site
• Pharmacological properties of the drug
• Mathematically described by Keo time constant
• Concentration gradient
Only factor we can control is concentration gradient
Time to peak effect (TTPE)
S After a bolus, maximum effect-site concentration occurs at
the point where the blood and effect-site concentration
curves cross
Time to peak effect (TTPE)
S After a bolus, maximum effect-site concentration occurs at
the point where the blood and effect-site concentration
curves cross.
S Time delay between bolus and this point is known as the
“time to peak effect” TTPE
S Independent of size of bolus
S Propofol TTPE is 1.6 minutes
Time to peak effect (TTPE)
S By knowing the Keo and TTPE it is possible to ‘target’ the effect-
site concentration
Nomenclature of TCI:
Ce = Effect site concentration
Cp = Plasma concentration
t suffix = ‘Target’ Cet / Cpt
Effect Site Targeting
S System manipulates the blood concentration to achieve the
effect-site target as quickly as possible
S “over-pressures” blood concentration to produce gradient
that results in fastest rise in effect-site level yet preventing
any overshoot
S Faster induction; faster changes in depth of anaesthesia
Which to use ?
S No evidence that one method better than the other
S I would suggest that effect-site TCI is easier to use and closer to
drug physiology
S When using plasma targeting, be aware of the lag and
‘overpressure’ as required
S With effect-site targeting, bigger bolus given per dose increase
which may effect haemodynamics
S
Manual or TCI?
Evidence for Manual vs. TCI
Cochrane review in 2008
S Looked at results of 20 poor quality trials
S 1759 patients
S No significant difference in quality of anaesthesia or
adverse outcomes
S Couldn’t recommend one over the other
S
Propofol TCI Models Marsh vs. Schnider
2 available models for Propofol TCI in adults:
S Marsh
S Schnider
Marsh Model
S Published in 1991
S Model employed in the original Diprifusor®
S Based on study of 3 groups of 6 patients
S Detailed demographics never published
S Weight is only variable
S Effects size of V1, V2 & V3
S Age entered but has no effect on model
S Unless < 16 in which case pump wont run
Marsh Model
S A ‘modified’ Marsh model was published by Struys et al in
2000
S This uses a faster Keo
S Results in less overshoot and undershoot when using Marsh
effect-site targeting
S Model used in modern TCI systems
S But PK pumps only allow plasma targeting
Schnider Model
S Published in 1998
S Based on 24 volunteers (11 women, 13 men)
S Uses age, height, weight, age and gender
S V1 fixed - 4.27 L
S V3 fixed - 238 L
S V2 variable of age
S Elimination uses weight, height & LBM
S Uses a TTPE of 1.6 minutes and calculates a Keo for each individual patient
70 kg man Marsh Schnider
V1 15.9 L 4.27 L (f)
V2 32.4 L 24.0 L
V3 202 L 238 L (f)
K10 0.119 (f) 0.384
K12 0.112 (f) 0.375
K13 0.042 (f) 0.196
K21 0.055 (f) 0.067
K31 0.0033 (f) 0.0035
Keo 0.26 (f) 0.456 (f)
TTPE (min) 4.5 (f) 1.69 (f)
S
Main differences
1. Time To Peak Effect
S Schnider model has faster TTPE (1.6 vs 4.5 min)
S Less ‘overshoot’ and ‘undershoot’ with Schnider effect-site targeting than with Marsh
S Net effect is less Propofol administered with Schnider vs. Marsh in effect-site targeting
S Probably safer in elderly and compromised patients
But: PK pumps do not allow Marsh effect-site targeting!!
2. Size of central compartment
S Schnider has fixed V1 (4.27 L)
S Marsh is a function of weight (15.9 L for 70kg)
S Striking differences in estimated plasma and effect-site
concentrations in first 10 minutes after the bolus
2. Size of central compartment
One minute after bolus:
S Marsh Cp = 4 mcg/ml Ce = 0.9 mcg/ml
S Schnider Cp= 8.2 mcg/ml Ce = 3.6 mcg/ml
S Differences less significant after 10 minutes
S After 30 minutes both estimate the same levels
S Net effect is Schnider administers less Propofol
3. Age
S Well described age related changes in Propofol PK and PD
S Volume of central compartment reduces with increasing age
S EC50 decreases by 50% from 25 to 75 years
S Marsh model doesn’t account for age
S Schnider does
Weight
Marsh model
S Uses total body weight (TBW)
S Will tend to overdose in obesity
S Ideal Body Weight (IBW) best for induction
But….
S Maintenance infusion rate is TBW variable
Servin formula:
IBW + 0.4 (TBW-IBW)
Schnider model
S Uses lean body mass (LBM)
S User enters TBW and pump calculates LBM
LBM = 1.1 x weight - 128 x (weight/height)2
S Accurate up to BMI of 42 in men and 37 in women - then get
paradoxical decrease in LBM
Schnider model
S Schnider model will only allow entry of TBW up to BMI of 42 in
men and 37 in women
S Janmahasatian formula has been suggested as a better calculator of
LBM
Janmahasatian Formula
Male = [9270 x weight (kg)] / [6680+216 x BMI]
Female = [9270 x weight (kg)] / [8780+244 x BMI]
S
Remifentanil
Minto model
S Minto model 1997
S 3 compartment model
S Weight, height, gender and age
S Uses LBM calculated from TBW
S Keo adjusted for age
S Plasma vs Effect site is less of an issue due to rapid equilibrium between plasma and brain
S Takes less than 5 minutes
S
Reducing the risk of
awareness
Preventing awareness
Awareness arises because:
S Failure to deliver the correct amount of the correct drug to the correct patient at the correct time
S Can be human or equipment failure - or both!
S Certain steps can be taken to minimise the risks
S SALG October 2009:
“Guaranteeing Drug Delivery in Total Intravenous Anaesthesia”
Preventing awareness
1. Infusion pumps
S Maintained
S Appropriate alarms
S Deliver the drug how you want to deliver it
S You are competent and trained in their use
2. Drugs
S Correct drug in correct concentration in correct pump
S Appropriate model and dosing selected
Preventing awareness
3. Anti-syphon valve on every drug line
4. One way valve on any fluid line administered with TIVA
Preventing awareness
3. Anti-syphon valve on every drug line
4. One way valve on any fluid line administered with TIVA
5. IV cannula site visible throughout the case and checked at
regular intervals
6. Avoid muscle paralysis when possible
7. Use depth of anaesthesia monitoring!
S
The Future….
Improving TCI
1. Closed loop systems
S Depth of anaesthesia monitoring
S End tidal Propofol
S Clinical sensitivity to Propofol
2. Multi-drug models
Summary
1. TIVA rocks
2. Effect-site targeting rocks
3. Use Schnider for effect-site targeting
4. Use Marsh for plasma targeting
5. IBW + ‘a bit’ for Marsh model
6. TBW for Schnider and Minto models
7. Use BIS……