T
ot
al In
tr
a
v
enous Anes
thesia:
Theor
etic
al F
ounda
tion and
Pr
actica
l
Consider
a
tions
T
almag
e
D
. Eg
an,
M.D
.
Univer
s
ity
of Utah School of
Medicine
© T
almag
e
D
.
Eg
an
Oct
ober 21
st
, 2022
Disclo
sur
es
In the las
t 2 y
ear
s, Dr
. Eg
an
has the f
ollow
ing indust
r
y
r
elationships to d
isclose:
•
F
ounder and
equity partner:
Medvis
•
R
esear
ch support: Medtr
onic
•
Scien
tific Advisory Boar
d
Member:
Acacia Pharma
(Brie
f introduct
ion t
o TIV
A
theory a
nd pra
ctice…
)
Ov
er
a
ll Goal
Es
t
ablis
h
the scien
tific and
pr
act
ic
al f
ounda
tion upon which
t
o base a TIV
A pr
actice.
TIV
A
v
s
Inha
led D
r
ug D
eliv
er
y
Gaini
ng acces
s t
o the ci
r
cula
ti
on
via
the l
ung af
f
or
ds funda
men
t
a
l
adv
an
t
ag
es tha
t ha
v
e se
t a s
t
andar
d
f
or
inno
v
ation in TIV
A pr
act
ice si
nce
the mid 1990s.
K
ey
P
o
i
nt
E
g
a
n
(
J
C
l
i
n
A
n
est
h
1996)
(Cir
ca 1990s)
.
Egan (
J
Clin Anesth
1996)
(Cir
ca 1990s)
.
An
e
s
t
h
e
s
ia P
os
ology
Anes
t
hesia posology (t
he s
tudy
of drug dosing) is fundame
n
t
ally
dif
f
er
en
t than ot
her specialt
ies
of medic
ine.
K
ey
P
o
i
nt
Kuck & Egan (
Br
J Anaesth
2017)
A last try a
t popular
izing
the t
erm “posology….
”
“Combining
the
Greek words
‘poso
s’ (how much) and ‘logos’
(scien
ce), p
osology
can
be thou
ght
of mor
e
simply a
s
‘
dosolog
y
’
.
”
Egan (
Anest
h Analg
2018)
Gener
al Appr
oac
h t
o Anes
thes
ia P
osology
Kuck &
Egan (
Br
J Anaesth
2017)
Kuck &
Egan (
Br
J Anaesth
2017)
An
e
s
t
h
e
s
ia P
os
ology
A
surfing analogy is
help
ful in
under
s
t
anding t
he
modern
appr
oach t
o
anes
thesia posology
.
K
ey
P
o
i
nt
Egan & Shafer (Anest
hesiology
2003)
Egan & Shafer (Anest
hesiology
2003)
Egan & Shafer (Anest
hesiology
2003)
Egan & Shafer (Anest
hesiology
2003)
Egan & Shafer (Anest
hesiology
2003)
T
I
V
A Pr
act
ice
Dom
ain
s
Ther
e ar
e t
hr
ee TIV
A pr
actic
e
domains
(i.e., dose, c
oncen
tr
a
tion,
& e
f
f
ect
).
The e
f
f
ect dom
ain is
opt
imal.
K
ey
P
o
i
nt
Egan (
Anest
h Analg
2018)
Thr
ee
TIV
A Prac
tice Domains
Egan (
Anest
h Analg
2018)
The Dose Domain
Simple t
o
use
Familia
r to
all
Ignores t
emporal
changes
Slow to steady
-
state
Ignores int
ersubject
variab
ility
Egan (
Anest
h Analg
2018)
The Concentration
Domain
Automates dosage
calculati
ons
Accounts for
temporal
changes
Quick to steady
-
state
Accounts for
co
-
variate ef
fects (PK)
Ignores int
ersubject
variab
ility
Less
familiar (U
SA)
Egan (
Anest
h Analg
2018)
The Effect Domain
Automates dosage
calculati
ons
Accounts for
temporal
changes
Quick to steady
-
state
Accounts for
co
-
variate ef
fects (PKPD)
Accounts for
inter
sub
-
ject va
riability
Complicat
ed control
system (aut
omated)
Suboptimal
sensors
Less famil
iar
Unintended conse
-
quences?
(or Op
en
Loop)
Usually Bes
t!
Most
importan
t!
Egan (
Anest
h Analg
2018)
?
C
r
uc
ia
l D
r
ug B
eha
v
io
r
s
a
nd
TIV
A
Cert
a
in pharma
c
okinetic
at
tribut
es
in
f
orm TIV
A posolo
gy f
or bolus and
in
fus
ions c
ondi
tions.
These
a
t
tr
ibut
es
ar
e bes
t under
s
t
ood
t
hr
ough PK
-
PD
simulation.
K
ey
P
o
i
nt
Obara & Egan
(in Hemmings
& Egan, Elsevier 2019)
Simula
tio
ns
Normalized t
o
peak Ce!
Any a
nesthetic drug…
F
ast, medium,
&
slow drugs…
Surp
risingly
long f
or
most anesthetic drugs…
S
teady S
tate
What amount of
decrease
is required?
How long will
it tak
e?
A given decrement
almost
alway
s takes longer
with longer infusions…
Longer
and lon
ger
…
C
r
uc
ia
l D
r
ug B
eha
v
io
r
s
a
nd
TIV
A
Cert
a
in
phar
mac
odyn
amic c
o
ncepts
in
f
orm T
IV
A
posology
. Chie
f
among
these ar
e pr
opof
ol
-
opioid
pharm
ac
odyna
mic int
er
action
s.
K
ey
P
o
i
nt
Ogura
& Egan (in Hemmings
& Egan, Elsevi
er
2019)
Ogura
& Egan (in Hemmings
& Egan, Elsevi
er
2019)
Ogura
& Egan (in Hemmings
& Egan, Elsevi
er
2019)
Ogura
& Egan (in Hemmings
& Egan, Elsevi
er
2019)
Ogura
& Egan (in Hemmings
& Egan, Elsevi
er
2019)
Ogura
& Egan (in Hemmings
& Egan, Elsevi
er
2019)
Ogura
& Egan (in Hemmings
& Egan, Elsevi
er
2019)
Ogura
& Egan (in Hemmings
& Egan, Elsevi
er
2019)
2
nd
most i
mp
ort
ant f
eatur
e?
Pr
o
po
f
o
l
C
linic
a
l Pha
r
m
a
c
o
lo
gy &
TIV
A
Simu
la
tio
n of p
r
opof
ol’
s
pharm
ac
okinetic beha
vio
r helps
in
f
orm pos
olog
ic
al
decisi
ons in
TI
V
A
.
K
ey
P
o
i
nt
Rapid
onset, moder
a
tely
r
apid o
ffset (depends
on do
se)…
50
-
yea
r
-
old, 75 k
g
, 17
5 cm male
Conc
entr
ations r
ise througho
ut the
course of a typical length ca
se…
Induction bo
lus produces
“
s
upr
a
-
ther
ape
utic”
conce
ntr
ations for a
time,
then
gr
adua
l rise
begins
…
T
arget Contr
olled Infusion!
Back-
end behavior c
hanges
as the
infusion goes
on…
S
tandard Infusi
on!
Back-
end behavior s
lightly
diff
e
ren
t for s
tandard infusions
(i.e.,
not at st
ea
dy
-
state
)…
Obara & Egan
(in Hem
mings &
Egan, Els
evier
2019)
Con
te
xt sensitiv
e
half
-
time
assum
es TCI administr
ation…
Op
i
o
i
d
C
l
i
n
i
c
al
Ph
ar
ma
c
o
l
o
g
y
&
T
IV
A
Simu
la
tio
n of r
emif
en
t
a
nil a
nd
f
ent
an
yl
pharm
ac
okin
e
ti
c beha
vior
helps in
f
orm posolo
gic
al
decisi
ons in
TIV
A.
K
ey
P
o
i
nt
F
ent
an
yl
slower peak,
much sl
ower off
set…
Normalized t
o
peak Ce!
R
emif
ent
anil r
eaches st
eady
-
st
at
e r
apidly; f
ent
an
yl does
not reac
h st
ea
dy
-
state
…
R
e
mif
e
nt
anil levels
r
apidly
decline
...
Egan
et
al
(
Anesthesiology
1993)
R
e
mif
e
nt
anil is the o
nly TIV
A
drug with
a time
indepe
ndent
cont
ext sensitive
half
-
time…
The clinic
al st
at
e
chang
es
quite a
bit w
ith these
f
e
nt
an
yl
fluctuations…
T
i
p
s
an
d
T
r
i
c
k
s
o
f
t
h
e
T
IV
A
T
r
ad
e
Cert
a
in pr
actic
al tips ar
e help
fu
l f
or
successful TI
V
A p
r
actice.
K
ey
P
o
i
nt
Obara & Egan
(in Hem
mings &
Egan, Els
evier
2019)
Obara & Egan
(in Hem
mings &
Egan, Els
evier
2019)
Supplemen
t
ary M
a
t
erial
Egan (
Anest
hesiology
2003)
Egan
et
al
(
Br
J Anaesth
2020)
T
arget Controlle
d In
fusion
Practice
Low
High
G
AI
N
T
CI is the most
sophistic
at
ed titr
ation…