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Resuscitation
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w w w . e l s e v i e r . c o m / l o c a t e / r e s u s c i t a t i o n
Clinical
paper
Factors
complicating
interpretation
of
capnography
during
advanced
life
support
in
cardiac
arrest—A
clinical
retrospective
study
in
575
patients
夽
Bård
E.
Heradstveit
,
Kjetil
Sunde
,
Geir-Arne
Sunde
,
Tore
Wentzel-Larsen
,
Jon-Kenneth
Heltne
a
Department
of
Anaesthesia
and
Intensive
Care,
Haukeland
University
Hospital,
Bergen,
Norway
b
Surgical
Intensive
Care
Unit
Ullevål,
Department
of
Anaesthesiology,
Division
of
Critical
Care,
Oslo
University
Hospital,
Oslo,
Norway
c
Centre
for
Clinical
Research,
Haukeland
University
Hospital,
Bergen,
Norway
d
Centre
for
Child
and
Adolescent
Mental
Health,
Eastern
and
Southern
Norway,
Oslo,
Norway
e
Norwegian
Centre
for
Violence
and
Traumatic
Stress
Studies,
Oslo,
Norway
f
Department
of
Medical
Sciences,
University
of
Bergen,
Bergen,
Norway
a
r
t
i
c
l
e
i
n
f
o
Article
history:
Received
21
November
2011
Received
in
revised
form
7
February
2012
Accepted
15
February
2012
Keywords:
Cardiac
arrest
Outcome
Capnography
Capnometry
Advanced
life
support
Pulmonary
embolism
Prognostics
a
b
s
t
r
a
c
t
Background:
End
tidal
carbon
dioxide
(ETCO
2
)
monitoring
during
advanced
life
support
(ALS)
using
capnography,
is
recommended
in
the
latest
international
guidelines.
However,
several
factors
might
com-
plicate
capnography
interpretation
during
ALS.
How
the
cause
of
cardiac
arrest,
initial
rhythm,
bystander
cardiopulmonary
resuscitation
(CPR)
and
time
impact
on
the
ETCO
2
values
are
not
completely
clear.
Thus,
we
wanted
to
explore
this
in
out-of-hospital
cardiac
arrested
(OHCA)
patients.
Methods:
The
study
was
carried
out
by
the
Emergency
Medical
Service
of
Haukeland
University
Hospital,
Bergen,
Norway.
All
non-traumatic
OHCAs
treated
by
our
service
between
January
2004
and
December
2009
were
included.
Capnography
was
routinely
used
in
the
study,
and
these
data
were
retrospectively
reviewed
together
with
Utstein
data
and
other
clinical
information.
Results:
Our
service
treated
918
OHCA
patients,
and
capnography
data
were
present
in
575
patients.
Capnography
distinguished
well
between
patients
with
or
without
return
of
spontaneous
circulation
(ROSC)
for
any
initial
rhythm
and
cause
of
the
arrest
(p
<
0.001).
Cardiac
arrests
with
a
respiratory
cause
had
significantly
higher
levels
of
ETCO
2
compared
to
primary
cardiac
causes
(p
<
0.001).
Bystander
CPR
affected
ETCO
2
-recordings,
and
the
ETCO
2
levels
declined
with
time.
Conclusions:
Capnography
is
a
useful
tool
to
optimise
and
individualise
ALS
in
cardiac
arrested
patients.
Confounding
factors
including
cause
of
cardiac
arrest,
initial
rhythm,
bystander
CPR
and
time
from
cardiac
arrest
until
quantitative
capnography
had
an
impact
on
the
ETCO
2
values,
thereby
complicating
and
limiting
prognostic
interpretation
of
capnography
during
ALS.
© 2012 Elsevier Ireland Ltd. All rights reserved.
1.
Introduction
The
partial
pressure
of
end
tidal
carbon
dioxide
(ETCO
2
)
esti-
mates
alveolar
carbon
dioxide
(CO
2
)
tension,
and
reflects
its
production,
transport
to,
and
elimination
from
the
lungs;
hence
it
generally
reflects
cardiac
in
one
of
these
fac-
tors
will
affect
the
measurement.
The
technique
was
first
described
during
anaesthesia
in
the
order
to
verify
correct
tube
夽 A
Spanish
translated
version
of
the
summary
of
this
article
appears
as
Appendix
in
the
final
online
version
at
doi:10.1016/j.resuscitation.2012.02.021
.
∗ Corresponding
author.
Tel.:
+47
55976850;
fax:
+47
55974955.
addresses:
baard.heradstveit@helse-bergen.no
(B.E.
Heradstveit),
(K.
Sunde),
geir.arne.sunde@helse-bergen.no
(G.-A.
Sunde),
(T.
Wentzel-Larsen),
jon-kenneth.heltne@helse-bergen.no
(J.-K.
Heltne).
placement.
Monitoring
of
ETCO
2
during
cardiopulmonary
resusci-
tation
(CPR)
was
first
described
by
Kalenda,
who
used
ETCO
2
as
a
guide
to
the
efficacy
of
CPR.
A
drop
in
ETCO
2
was
an
indicator
for
when
to
change
the
person
providing
chest
compressions,
due
to
inadequate
compression
efficacy.
was
later
followed
by
studies
reporting
its
use
during
CPR
in
experimental
positive
correlation
between
ETCO
2
and
outcome
of
cardiac
arrest
in
patients
has
been
well
described
in
several
studies,
a
significant
increase
in
ETCO
2
during
CPR
has
been
associated
with
return
of
spontaneous
circulation
(ROSC).
2010
guidelines
from
European
Resuscitation
Council
(ERC)
now
encourage
the
use
of
capnography
to
guide
CPR
during
Advanced
Life
Support
(ALS).
Interpretation
of
ETCO
2
during
resuscitation
from
cardiac
arrest
is
still
challenging
and
has
several
pitfalls.
Especially
the
cause
of
the
arrest
seems
to
have
impact
on
the
ETCO
2
,
and
recent
studies
have
described
higher
ETCO
2
in
asphyxial
arrests
compared
with
arrests
of
cardiac
the
influence
of
bystander
0300-9572/$
–
see
front
matter ©
2012 Elsevier Ireland Ltd. All rights reserved.
doi:
814
B.E.
Heradstveit
et
al.
/
Resuscitation
83 (2012) 813–
818
CPR
may
impact
on
ETCO
2
as
well
as
variations
over
time,
but
this
has
not
been
documented
in
clinical
studies.
Thus,
the
aims
of
the
study
were
to
document
levels
of
ETCO
2
in
patients
with
out-of-hospital
cardiac
arrest
(OHCA).
We
hypothe-
sised
that
although
capnography
will
give
valuable
feedback
to
the
ALS
providers,
initial
heart
rhythm,
cause
of
the
arrest,
presence
of
bystander
CPR
and
time
dependency
will
limit
and
complicate
its
interpretation.
2.
Material
and
methods
2.1.
Ethics
This
retrospective
study
was
carried
out
at
the
Emergency
Med-
ical
Service
(EMS),
Haukeland
University
Hospital,
Norway.
The
Privacy
Protection
Supervisor
approved
the
study
and
the
Regional
Committees
for
Medical
Research
Ethics
had
no
objections.
The
need
of
an
informed
consent
from
the
patients
or
the
families
was
waived.
2.2.
Organisation
Our
region
has
a
population
of
approximately
470,000
peo-
ple
(15,000
km
2
).
Since
1988,
the
Helicopter
Emergency
Medical
Service
(HEMS)
at
Haukeland
University
Hospital
has
assisted
the
decentralised
ambulances
treating
cardiac
arrests.
The
paramedics
are
trained
in
ALS
and
are
yearly
certified.
The
HEMS
is
served
by
an
anaesthesiologist
by
helicopter
or
rapid
response
car.
Regarding
cardiac
arrest,
the
emergency
dispatch
centre
provides
telephone
guided
CPR
to
lay
people
if
the
patient
is
unconscious
with
abnor-
mal
breathing.
In
parallel,
both
the
nearest
ambulance
and
the
HEMS
are
immediately
despatched
for
initiation
of
ALS.
Local
first-responders
providing
basic
life
support
with
defibrillation
(fire-fighters)
are
also
despatched,
who
may
arrive
at
the
patient
before
the
ambulance/HEMS.
2.3.
ALS
treatment
All
patients
in
the
present
study
were
treated
accord-
ing
to
the
current
international
guidelines
with
our
national
adjustments.
Both
the
ambulances
and
the
HEMS
were
equipped
with
Lifepak
®
12
Defibrillator
(Physio-Control
Inc.,
Red-
mond,
WA,
USA),
while
the
first
responders
used
the
fully
automatic
Lifepak
CR
®
(Physio-Control).
To
permit
continuous
chest
com-
pressions,
the
patients
had
airways
secured
with
a
supraglottic
laryngeal
tube
(LTS-D,
VBM
Medizintechnik
GmbH,
Germany)
by
the
paramedics,
or
endotracheal
tube
by
the
anaesthesiologists.
The
first
responders
used
mouth-to-mouth
ventilation
with
a
mask.
All
patients
were
manually
ventilated
according
to
the
cur-
rent
drugs
were
used
according
to
national
no
bicarbonate
buffer
was
administered
dur-
ing
the
study
period.
If
ROSC
did
not
occur
and
the
resuscitation
attempt
was
deemed
to
be
futile
by
the
attending
doctor,
ALS
was
terminated
on
the
scene.
In
the
presence
of
profound
hypothermia,
or
in
other
special
circumstances,
patients
were
transported
with
ongoing
CPR
to
Haukeland
University
Hospital.
2.4.
Capnography
use
The
HEMS
has
routinely
used
waveform
capnography
in
all
intu-
bated
patients
since
1999.
Initially,
the
purpose
of
capnography
was
to
verify
correct
tracheal
tube
placement.
However,
in
cardiac
arrest
patients,
we
also
used
it
as
a
surrogate
marker
of
ETCO
2
-monitoring
was
performed
using
a
mainstream
sensor,
using
single
beam,
non-dispersive
infrared
absorption,
ratio-
metric
measurements
(Tidal
Wave
®
,
Philips
Respironics,
The
Netherlands).
Recording
of
ETCO
2
-values
were
initiated
upon
the
arrival
of
the
HEMS,
and
after
placement
of
a
secured
airway,
and
were
continuously
observed
by
the
treating
anaesthesiologist.
2.5.
Study
design
and
data
collection
All
patients
with
ALS
initiated
non-traumatic
cardiac
arrest
treated
at
our
HEMS
between
January
2004
and
December
2009
were
included
in
the
study.
Pre-hospital
data
were
recorded
accord-
ing
to
the
Utstein
records
from
the
dispatch
centre
supplemented
ambulance
records
regarding
response
times.
In
cases
where
the
exact
time
of
cardiac
arrest
was
unknown,
the
time
was
estimated
based
on
the
current
information
available.
In
patients
with
unknown
arrest
time
of
over
60
min,
all
response
times
were
increased
by
60
min.
In
patients
with
ROSC
admitted
to
hospital,
the
cause
of
arrest
was
determined
based
on
hospital
records
and
all
available
information.
Patients
were
classified
in
four
categories;
cardiac,
respiratory,
pulmonary
embolism
(PE)
and
unknown.
Based
on
the
initial
heart
rhythm,
patients
were
classified
in
three
groups;
ventricular
fibrillation/pulseless
ventricular
tachycardia
(VF/VT),
asystole
(AS)
or
pulseless
electric
activity
(PEA).
For
those
pro-
nounced
dead
at
the
scene,
the
anaesthesiologist
stated
the
assumed
cause
of
the
arrest
according
to
the
Utstein-criteria.
This
assumption
was
based
on
previous
medical
history,
comparative
information
from
family,
witnesses
and
bystanders
and
all
avail-
able
clinical
or
environmental
data
or
signs.
example,
a
PE
was
decided
as
the
cause
of
the
arrest
if
a
clinical
suspicion
of
a
deep
vein
thrombosis
(presumably
with
initial
AS
or
PEA)
was
present.
Those
patients
with
an
unclear
cause
of
the
arrest
were
grouped
as
“unknown”
in
order
to
have
as
clean
groups
as
possible.
Patients
who
gained
ROSC
before
arrival
of
HEMS,
patients
transported
to
the
hospital
with
ongoing
resuscitation
(hypother-
mic
patients
or
other
special
circumstances),
and
patients
with
unknown
initial
heart
rhythm
were
excluded
from
the
study.
ETCO
2
were
recorded
after
the
HEMS
crew
arrived
at
the
patient
as
previously
described.
After
one
minute
of
normal
ventilation,
the
average,
minimal
and
maximal
values
in
the
following
15
min
of
ALS
(or
until
ROSC
if
it
occurred
before
15
min)
were
recorded
manually
by
the
anaesthesiologist.
The
Tidal
Wave
®
capnograph
has
no
automatic
recording
of
data,
and
the
average
value
dur-
ing
these
15
min
was
not
an
average
in
a
strict
sense,
but
was
based
on
the
anaesthesiologist’s
judgement.
ETCO
2
measurements
were
then
analysed
based
upon
the
initial
heart
rhythm,
cause
of
the
arrest
and
presence
of
bystander
CPR,
and
further
classified
depending
on
ROSC
or
no
ROSC.
Association
of
ETCO
2
related
to
bystander
CPR,
time
of
measurement,
initial
rhythms
and
cause
of
the
arrest
were
also
classified.
Other
factors
that
may
influence
ETCO
2
like
epinephrine,
quality
of
CPR
and
ventilation
data
were
not
available.
2.6.
Statistics
All
numbers
are
presented
as
mean
±
SD.
Continuous
data
were
compared
using
independent
samples
t-tests.
Linear
regression
analysis
was
used
to
determine
the
relationship
of
average
mea-
surement
on
ETCO
2
with
bystander
CPR,
time
of
measurement,
rhythm
and
cause
of
the
arrest.
Regression
analysis
used
all
obser-
vations
where
average
ETCO
2
was
known.
Since
some
covariates
from
different
patients
were
missing,
the
regression
analysis
was
run
using
multiple
imputation,
a
well
described
general
procedure
to
use
as
much
information
as
possible.
this
procedure,
several
completed
data
sets
(200
in
our
case)
are
constructed
and
analyses
from
these
completed
data
sets
are
combined.
Some
continuous
covariates
were
entered
nonlinearly,
when
deviations
from
a
linear
relationship
was
suspected.
A
p-value
<0.05
was
considered
B.E.
Heradstveit
et
al.
/
Resuscitation
83 (2012) 813–
818
815
significant.
The
R
(The
R
Foundation
for
Statistical
Computing,
Vienna,
Austria)
packages
rms
and
Hmisc
were
used
for
regression
analysis,
imputation
and
assessment
of
which
covariates
that
should
be
entered
nonlinearly.
SPSS
version
17-18
(IBM
SPSS,
Somers,
NY,
USA)
was
used
for
presentation
of
the
data
and
for
other
statistical
analyses.
3.
Results
A
total
of
918
patients
received
ALS
after
OHCA
during
the
study
period.
Patient
flow
chart
with
included
and
excluded
patients
is
shown
in
Of
724
eligible
patients,
ETCO
2
recordings
were
present
in
575
(82%)
patients
who
were
included
in
the
final
study.
Patients
with
ETCO
2
measurements
did
not
differ
from
the
miss-
ing/excluded
group
regarding
gender,
age,
initial
heart
rhythm,
response
times
or
outcome.
All
baseline
characteristics
are
pre-
sented
in
Data
only
relates
to
patients
in
whom
a
clear
airway
and
controlled
ventilation
were
established
and
confirmed
by
capnography
before
data
collection
started.
Additionally
all
tube
placements
were
confirmed
by
signs
of
effective
ventilation.
Among
the
575
included,
232
patients
(40%)
gained
ROSC
and
were
transported
to
the
hospital.
For
all
initial
heart
rhythms
and
dif-
918
98 ROSC
before
HEMS arrival
ALS after
OCHA
194
HEMS arrival
38 Transport
with ALS
194
Excluded
19 Traumatic
arrests
724
Eligible patients
11 Special
circumstances
149
ETCO
2
not record
ed
575
Include
d patie
nts
Fig.
1.
Included
and
excluded
patients
– flow
chart.
Table
1
Baseline
characteristics
in
study
population
(n
=
575).
Variable
Mean
±
SD
Age
(year)
60.7
±
17.8
Female/male
145/430
Witnessed
414
(72%)
Bystander
CPR
438
(76%)
Arrest-CPR
(min)
8.6
±
15.4
Arrest-ACLS
(min)
14.7
±
16.9
Arrest-CO
2
recording
(min)
22.5
±
17.5
Admitted
hospital
with
ROSC
232
(40%)
Any
ROSC
(%)
286
(50%)
Termination
of
resuscitation
(min)
43.3
±
22.3
Cause
of
the
arrest
Cardiac
336
(58%)
Respiratory
117
(20%)
Pulmonary
embolism
12
(2%)
Unknown/other
110
(19%)
Initial
rhythm
Ventricular
fibrillation
195
(34%)
Ventricular
tachycardia
3
(1%)
Asystole
266
(46%)
Pulseless
electrical
activity
111
(19%)
CPR,
cardio
pulmonary
resuscitation;
ACLS,
advanced
cardiac
life
support.
a
Time
between
arrest
and
termination
of
resuscitation.
Table
2
Average
ETCO
2
(kPa)
during
CPR
in
patients
with
or
without
ROSC,
regarding
the
cause
of
the
arrest.
Cause
Overall
ETCO
2
,
mean
±
SD
ROSC,
mean
±
SD
No-ROSC,
mean
±
SD
Cardiac
2.8
±
1.3
3.4
±
1.2
2.4
±
1.2
<0.001
Respiratory
3.5
±
2.2
4.5
±
2.2
2.3
±
1.5
<0.001
Pulmonary
embolism
1.7
±
1.1
2.2
±
1.0
0.9
±
0.5
0.023
Unknown/Other
2.0
±
1.2
2.7
±
1.0
1.3
±
1.1
<0.001
a
Contrast
between
ROSC
and
no-ROSC
using
independent
samples
t-test.
Table
3
ETCO
2
(kPa)
in
patients
presenting
asystole
with
respiratory
and
cardiac
causes
to
the
arrest.
ETCO
2
Cardiac
cause,
mean
±
SD
Respiratory
cause,
mean
±
SD
Average
2.3
±
1.4
3.5
±
2.3
<0.001
Min.
1.5
±
1.0
2.4
±
2.0
<0.001
Max.
3.4
±
2.3
5.1
±
3.5
<0.001
a
Contrast
between
cardiac
and
respiratory
causes
using
independent
samples
t-test.
ferent
causes,
ETCO
2
were
significantly
higher
in
those
achieving
ROSC
compared
to
those
not
achieving
ROSC
3.1.
ETCO
2
and
different
causes
There
were
significant
differences
in
ETCO
2
depending
on
the
cause
of
the
arrest
(p
<
0.001)
(
with
respiratory
arrests
hav-
ing
increased
levels
compared
to
primary
cardiac
caused
arrests.
Furthermore,
a
significantly
lower
level
of
ETCO
2
was
present
in
patients
with
PE
compared
to
patients
with
respiratory
and
car-
diac
causes,
regardless
of
ROSC
or
not
Patients
with
ROSC
and
PE,
had
similar
values
as
patients
without
ROSC
and
all
other
causes
(and
actually
tended
to
be
even
lower)
(
In
patients
with
initial
asystole,
the
minimum,
maximum
and
average
ETCO
2
were
characteristically
higher
among
those
patients
with
respira-
tory
compared
to
cardiac
causes
(p
<
0.001)
More
patients
gained
ROSC
in
the
respiratory
compared
to
the
cardiac
group,
49%
vs.
15%.
3.2.
ETCO
2
and
different
initial
rhythms
Initial
VF/VT
was
present
in
198
patients
(34%),
AS
in
266
patients
(46%),
and
PEA
in
111
(19%)
patients
(
Regression
analysis
did
reveal
differences
in
the
ETCO
2
with
respect
to
initial
rhythms
(p
=
0.004).
Within
each
rhythm,
there
were
significant
contrasts
between
patients
with
and
without
ROSC
(
In
the
presence
of
ROSC,
patients
with
initial
asystole
had
the
highest
ETCO
2
,
and
PEA
the
lowest,
whereas
in
absence
of
ROSC,
patients
with
initial
VF/VT
had
the
highest
levels
(
Table
4
Average
ETCO
2
(kPa)
during
CPR
in
patients
with
or
without
ROSC,
regarding
the
initial
heart
rhythm.
Initial
heart
rhythm
ETCO
2
ROSC,
mean
±
SD
No-ROSC,
mean
±
SD
VF/VT
(n
=
198)
Average
3.4
±
1.1
2.8
±
1.2
<0.001
Min.
2.6
±
1.0
1.8
±
0.9
<0.001
Max.
5.1
±
2.2
4.3
±
1.9
0.009
AS
(n
=
266)
Average
4.1
±
2.1
2.0
±
1.3
<0.001
Min.
2.9
±
1.8
1.4
±
1.0
<0.001
Max.
5.9
±
3.3
3.0
±
2.1
<0.001
PEA
(n
=
111)
Average
3.1
±
1.5
2.2
±
1.3
0.001
Min.
2.2
±
1.4
1.3
±
1.0
<0.001
Max.
4.4
±
2.5
3.1
±
1.9
0.003
a
Contrast
between
ROSC
and
No-ROSC
using
independent
samples
t-test.
816
B.E.
Heradstveit
et
al.
/
Resuscitation
83 (2012) 813–
818
Time of onset CPR (min)
(a)
(b)
A
v
er
age endt
idal
C
O
2 (
k
P
a
)
2.0
2.5
3.0
3.5
4.0
4.5
60
50
40
30
20
10
0
Time of measurement (min)
Average endtidal CO2 (kPa)
0
1
2
3
4
80
60
40
20
0
Fig.
2.
(a)
End
tidal
CO
2
and
time
of
onset
bystander
CPR
after
the
arrest,
adjusted
for
time
of
measurement,
initial
rhythms
and
cause
of
the
arrest
(estimated
values
with
95%
CI).
(b)
Measurement
of
end
tidal
CO
2
at
different
times
after
the
arrest,
adjusted
for
bystander
CPR,
initial
rhythms
and
cause
of
the
arrest
(estimated
values
with
95%
CI).
3.3.
ETCO
2
and
bystander
CPR
The
impact
of
bystander
CPR
affected
the
ETCO
2
significantly
(p
=
0.003).
Initiation
of
bystander
CPR
within
four
minutes
after
the
cardiac
arrest
resulted
in
higher
values
of
ETCO
2
while
CPR
started
later
resulted
in
lower
values
Over
time,
the
trend
was
decreasing
values
of
ETCO
2
.
3.4.
ETCO
2
and
time
of
measurement
The
average
ETCO
2
was
significantly
affected
by
the
time
of
recording
after
the
arrest
(p
=
0.037),
and
the
values
declined
with
delayed
measurement
(
4.
Discussion
In
the
present
study
we
have
documented
that
several
factors
complicate
the
interpretation
of
ETCO
2
during
ALS.
Although
ETCO
2
differs
well
between
patients
with
and
without
ROSC,
there
is
no
clear
generalised
cut-off
value
determining
whether
ROSC
will
be
achieved
or
not.
Several
confounding
factors
such
as
cause
of
the
arrest,
initial
rhythm,
bystander
CPR
and
changes
over
time
from
arrest
until
ETCO
2
recordings
seem
to
influence
this.
Patients
with
respiratory
causes
and
initial
AS
had
in
general
higher
levels
of
ETCO
2
than
those
with
a
primary
cardiac
cause.
Similarly,
Grmec
et
al.
have
previously
reported
higher
ETCO
2
immediately
after
intubation
in
patients
with
asphyxial
compared
to
primary
cardiac
et
al.
from
the
same
group
demon-
strated
that
this
difference
normalised
within
three
to
five
minutes
after
initiation
of
ALS.
also
reported
that
the
initial
ETCO
2
could
not
be
used
as
a
prognostic
factor
due
to
these
aetiology
differences.
speculate
that
capnography
for
CPR
guidance
during
ALS
is
easier
to
interpret
in
patients
with
cardiac
causes
than
in
patients
with
asphyxial
arrests.
The
higher
ETCO
2
in
patients
with
asphyxial
arrests
are
presum-
ably
not
due
to
better
cardiac
output,
but
due
to
CO
2
accumulation
in
the
tissue
and
venous
blood
due
to
asphyxia
and
absence
of
ventilation.
assumption
introduces
the
possibility
for
con-
founding
in
the
presence
of
bystander
CPR,
which
affected
the
ETCO
2
.
First,
we
found
increased
ETCO
2
with
onset
of
CPR
within
the
first
four
minutes
after
the
cardiac
arrest.
Thereafter,
the
ETCO
2
seemed
to
decrease
with
delayed
onset
of
CPR
beyond
four
minutes.
Survival
after
cardiac
arrest
depends
on
time
from
arrest
until
CPR
and
successful
thereby
reduces
with
later
onset
of
bystander
the
hypoxic
component,
this
can
also
be
related
to
development
of
stone
heart
with
thickening
of
the
myocardium
and
decrease
in
left
ventricular
volume.
This
has
been
demonstrated
in
untreated
cardiac
arrest
in
data
confirm
that
delayed
initiation
of
CPR
leads
to
lower
ETCO
2
.
This
might
be
explained
by
less
effective
chest
compressions
due
to
development
of
stone
heart.
The
reported
delay
between
time
of
arrest
and
ETCO
2
-recording
may
seem
long,
but
can
partly
be
explained
by
the
fact
that
also
unwitnessed
arrests
were
included.
An
interesting
result
in
our
study
was
the
low
levels
of
ETCO
2
in
patients
with
PE.
ETCO
2
in
PE
patients
are
characteristically
lower
because
of
diminished
pulmonary
perfusion
and
increased
alveolar
dead
space,
and
consequently
decreased
CO
2
elimination
capability.
ETCO
2
and
clinical
suspicion
of
PE,
might
there-
fore
be
an
indication
for
trombolysis
during
ongoing
ALS,
since
individually
adjusted
treatment
with
fibrinolytics
for
these
patients
previously
can
be
12/575
patients
in
the
present
study
had
a
PE
confirmed
as
the
cause
of
their
arrest.
This
is
far
less
than
previously
emphasizes
the
fact
that
PE
is
difficult
to
diagnose
in
cardiac
arrest.
Low
ETCO
2
combined
with
a
non-shockable
rhythm
can
be
suspectible
of
PE.
In
clinical
studies,
ETCO
2
>
2.4
kPa
after
20
min
has
been
shown
to
predict
ROSC,
and
values
<1.3
kPa
have
been
associated
with
no
data
demonstrates
that
such
cut-off
values
must
be
used
with
caution.
Too
many
confounding
factors
impact
on
the
actual
ETCO
2
.
Importantly,
cut-off
values
from
observational
studies
are
only
based
on
the
actual
dataset,
and
cannot
be
gen-
eralised
to
other
systems.
Strict
use
of
cut-off
values
in
patient
treatment
will
lead
to
treatment
withdrawal
based
on
self-fulfilling
prophecy.
Furthermore,
the
compression
site
on
sternum
might
presumably
affect
haemodynamics
and
thereby
cardiac
output
and
ETCO
2
,
as
recently
shown
in
a
clinical
fits
well
with
our
impression
that
levels
of
ETCO
2
in
each
patient
varied
depend-
ing
on
the
rescuer
performing
chest
compressions.
Thus,
since
B.E.
Heradstveit
et
al.
/
Resuscitation
83 (2012) 813–
818
817
both
compression
site
and
quality
of
chest
compressions
impact
on
the
ETCO
2
,
this
should
be
acknowledged
by
ALS-providers
during
interpretation
of
capnography.
With
ETCO
2
-guided
resusci-
tation
it
is
thereby
possible
to
encourage
the
rescuers
to
maximise
quality
of
CPR
and
to
change
the
person
providing
compres-
sions
when
the
ETCO
2
drops,
thereby
optimising
CPR
for
each
patient.
The
major
limitation
in
the
present
study
is
the
method
used
for
ETCO
2
recordings.
The
anaesthesiologist
on
scene
observed
the
ETCO
2
continuously
during
the
first
15
min
after
arrival
on
scene,
and
registered
manually
the
values
without
any
further
validation
of
these
data.
Since
the
Tidal
Wave
®
capnograph
had
no
auto-
matic
recording,
the
registered
minimum,
maximum
and
average
ETCO
2
from
each
patient
were
based
on
the
anaesthesiologists’
judgement.
Such
observation
might
lead
to
recording
errors
and
bias,
but
since
this
was
a
non-interventional
study,
the
registered
data
should
only
have
been
prone
to
recording
error.
Due
to
the
interesting
finding
of
the
time
variation
and
difference
between
causes
and
initial
rhythms,
future
studies
should
link
every
ETCO
2
to
time
during
the
resuscitation
procedure.
The
method
used
for
ETCO
2
recordings
should
be
improved
and
optimised
for
better
data
management
and
scientific
and
valid
interpretation.
Further,
the
patients
were
manually
ventilated,
and
although
this
was
done
or
observed
by
an
experienced
anaesthesiologist
we
have
no
data
on
quality
of
ventilations.
However,
the
impact
of
ventilation
may
be
of
minor
importance
in
a
low
flow
state
like
cardiac
arrest.
Pulmonary
flow,
generated
from
cardiac
output
achieved
through
chest
compressions,
is
more
important
in
this
situation.
Another
limitation
is
how
cause
of
death
was
determined
in
the
field
in
patients
without
ROSC.
We
have
no
autopsy
data,
and
the
uncer-
tainty
involved
in
these
causes
may
also
hide
undiagnosed
PE.
Consequently,
the
number
of
unknown
causes
is
high.
Finally,
epinephrine
impacts
on
cardiac
output
and
ETCO
2
during
ALS,
but
unfortunately
we
have
no
data
on
epinephrine
use
in
the
present
study.
Our
patients
received
epinephrine
following
guide-
line
5.
Conclusion
Capnography
is
a
useful
tool
to
optimise
and
individualise
ALS
in
cardiac
arrested
patients.
However,
confounding
factors
including
cause
of
arrest,
initial
rhythm,
bystander
CPR
and
time
from
cardiac
arrest
until
quantitative
capnography
had
an
impact
on
ETCO
2
val-
ues,
thereby
complicating
and
limiting
prognostic
interpretation
of
capnography
during
ALS.
Role
of
the
funding
source
Bård
E.
Heradstveit
is
a
fellow
research
of
The
Regional
Centre
for
Emergency
Medical
Research
and
Development
(RAKOS,
Sta-
vanger/Norway).
The
RAKOS
had
no
influence
on
the
topic,
study
design
or
interpretation
of
the
data.
Conflict
of
interest
statement
There
are
no
conflicts
of
interest.
Acknowledgements
The
study
was
supported
by
a
research
grant
from
the
Regional
Centre
for
Emergency
Medical
Research
and
Development
(RAKOS,
Stavanger/Norway).
MD
Ivar
Austlid
provided
supportive
infor-
mation
to
the
registration,
and
MD
Brian
Burns
made
valuable
comments
to
the
manuscript.
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