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Judith: Welcome to Berry's In the
Interim podcast, where we explore the

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cutting edge of innovative clinical
trial design for the pharmaceutical and

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medical industries, and so much more.

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Let's dive in.

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Scott: All right.

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Welcome everybody back to In the Interim.

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Today, we are going to talk
about, uh, a really cool trial.

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Uh, and, and I, uh...

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By the way, I'm your host,
Scott Berry, and I have a guest

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today, and I'll introduce the
guest as I introduce the topic.

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The topic today is the ICECAP trial,
and ICECAP is, you know, if I, if

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I put together of, of doing this
for 25 years, sort of my, my five

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favorite, three favorite, 10 favorite,
whatever, ICECAP is on there.

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This is a, a very, very cool trial.

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It's a...

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I, I think the trial design,
the scenario, very cool.

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And we're gonna talk
about that trial design.

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And, uh, joining me to talk about that
trial de- de- design is Will Moyer.

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Will is a professor of emergency
medicine and professor of neurology

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at the University of Michigan.

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He's also a medical and scienti-
uh, statistical scientist

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here at Berry Consultants.

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So Will, welcome to In the Interim.

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Will Meurer: Yeah, I'm
so, uh, happy to be here.

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Scott: And, uh, uh, sometimes I ask
my guests, "Are you a Bayesian?"

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And if, if you have video access to this,
there are some people that have only

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audio access to this, I don't need to
ask that question as, as Will is wearing

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a T-shirt with Bayes' theorem on it.

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So he is declaring his
allegiances just from the start.

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And ICECAP is a Bayesian trial.

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Uh, the final analysis is Bayesian.

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The trial is Bayesian.

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But let's, let's get to the ICECAP trial.

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The, the story of the design of this
trial is as fun as the design itself.

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So let's talk about, uh, uh, we'll, we'll
talk about the development of the trial.

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But to give people a sense,
what, what is the ICECAP trial?

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What is the, the syndrome?

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The, what are we treating in ICECAP?

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Will Meurer: Yeah.

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So, you know, when we take like
high school or middle school health

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class, we know that, you know, if
your brain stops getting oxygen,

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um, bad things happen to it.

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Somet-- You know, people are lear--
you know, maybe learn, gosh, in,

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in three, four minutes, your brain
is gonna be damaged irreversibly."

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Um, so when people have problems with
their heart such that their heart suddenly

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stops beating, like they're having a
heart attack, there's a blocked artery,

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or for whatever reason, the electrical
information in the heart just goes

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haywire, um, all of a sudden there's no
blood flowing up to the, up to the brain.

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You know, the body goes down um,
hopefully there's somebody nearby

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if that happens to you so that they
can start CPR and potentially get

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An automa-- you know, an automated
external defibrillator and restart

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the heart as, as quickly as possible.

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Um, when I was a medical student
at the Cincinnati VA, I was just

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by the ER one night, um, and, and
literally a guy, um, went into cardiac

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arrest just as we were walking by.

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And somebody got the, the old school
paddles, went up to the guy and,

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and zapped him, and he just...

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He woke up, screamed, like, like...

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And he, he, he, he-- We got to him
before he developed any brain damage.

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But in, in lots of cases, um, we
don't get the heart restarted that

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quickly, and because of that loss of
blood flow, the brain is, is damaged.

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And, we don't know, though, at the moment
that people get the heart restarted

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how damaged that brain is gonna be.

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All the cells that are inside
the brain, you know, we think of

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neurons, there's blood vessel cells,
there's connective cells there.

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These are all hurt by this,
this lack of oxygen, but they're

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not all necessarily gonna die.

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the idea of treating cardiac
arrest, you know, first you

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have to deal with the heart.

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If you don't get the heart restarted, you,
you know, it, it's very hard to, to live.

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It's, it's really sort of game over.

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But if you get the heart, heart
restarted, then the most common

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way people die is because of brain
injury, so that they don't wake up.

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So one of the things that we know is
that when the brain is injured, um,

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temperatures like fevers really harmful.

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So the, you know, the way I think
about this is there's a bunch of

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these neurons and other, you know,
other cells inside the brain.

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They've been hurt.

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They're still functioning, but they're,
they're, they're maybe not happy about it.

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They haven't decided, like, should
I, should I turn myself off?

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Should I go to the-- you know, hit
the self-destruct button because

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the situation is bad and I'm,
I'm not gonna be able to recover?

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Or should I give this a little more time?"

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Um, one way of thinking of this, it's,
you know, it's an oversimplification

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of biology, is that when the
temperature goes up, more of those

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cells decide, you know, they're
done, that they can't survive this.

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And we see this not just in, in the
brain injury from cardiac arrest,

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um, but we also see this after
stroke, traumatic brain injury.

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Anytime there's a serious hit to the
brain, is, um, you know, this really

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common situation that fever is bad.

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And these are sick patients
in the intensive care unit.

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They're on mechanical ventilators, so
there's plastic and, you know, coming

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out of all sorts of body orifices.

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So the- they're very-- people are very
prone to infection in this fragile state,

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so these, these fevers can be quite bad.

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so in the early two thousands, um,
well, even before that, like way back...

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Scott: let's back up a little.

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So these are patients
suffer A cardiac arrest.

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There are other, there are other reasons
why somebody has lack of blood flow, and

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so the whole therapy that we're gonna
investigate might be interesting in there.

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But in this trial, we're looking
at they suffer cardiac arrest.

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For some period of time,
there wasn't blood flow.

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It gets restored, so these are
patients that have been restored.

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They come into the
emergency room where Dr.

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Moyer is, uh, in that.

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And, and then the question
is, what do you do?

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Uh, do we have therapies for them?

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Is that right?

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Did I get that right?

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Will Meurer: Yeah.

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No,

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Scott: Okay.

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Will Meurer: that's right.

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Scott: Okay.

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Will Meurer: and this is like a, a...

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This is damage to the whole brain.

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So if you've-- You know, a lot
of people are familiar with

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stroke and stroke research.

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In there, i-in stroke, you
have damage to one part of the

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Scott: Yeah.

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Will Meurer: that case, people
usually are awake, and you can measure

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how big a stroke they have by how,
you know, how weak their arm is.

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You know, this is part of, you know,
what I do in my, in my daily work, or

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at least, you know, a few times a, a
month when I work on the stroke team.

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So stroke, you can kinda quantify
the severity with this, you know,

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with like an NIH Stroke Scale exam.

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You can do a special type of imaging
test, which, which, which you, you've

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all worked on, a CT perfusion that
can say, "Look, this, this is the

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volume of the brain that's at risk."

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Whereas in cardiac arrest, we
don't have a m- we don't have a

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real true marker of the severity.

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It's like the person looks comatose.

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They're not responding.

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Maybe they're looking around a little bit,
but they're not able to follow commands.

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But we don't have a sense as to
how big a hit their brain took and

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whether or not they can, can recover.

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Um, so that's why we wanna try to
implement therapies that, that protect

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the brain or, or can, you know, limit
the damage, um, you know, that would be

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what can help, help improve the outcomes.

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So that's, you know,
that's sort of the stage.

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You know, the patient has
been resuscitated by usually

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the paramedics in the field.

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Um, sometimes a bystander brings
it, like an AED, and they g-

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they get the heart restarted.

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And then they're- they've come
to the emergency department.

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And unlike that guy at the Cincinnati
VA who woke up screaming that his

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chest hurt, these folks are, you
know, on a mechanical ventilator, you

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know, and really, you know, not, not
able to speak or, or follow commands.

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And that would be, be the
coma after cardiac arrest

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that is, is the brain injury.

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Scott: Okay.

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And, and the heat you described that could
accelerate neuron death and it considered

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to be a negative, that's the human body
creates this response of a fever, high

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temperatures, and hence the therapy.

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What therapy are we investigating in
this trial is potentially beneficial for

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those patients that come in to see you?

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Will Meurer: Yeah.

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And, and it can go even a little further.

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I mean, we've heard those stories of
people who fall through ice on a lake

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and are are under the water in the lake
for a half hour, to some degree, that's,

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that, that coldness of that lake is,
is much colder than we would do-- w-

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than we did in, in the IceCap trial.

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But that, that slows down all the body's
circulatory processes, can slow down

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those cell death processes, which is
why we sometimes see people who have

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these, these miraculous recoveries a-
even after being under water for you

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know, mind-boggling amounts of time.

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addition, for some types of cardiac
surgery they, they need to put...

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where they need to stop the heart
to do work on, say, the aortic arch

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and, you know, to, to, to fix things,
they put people on a bypass machine.

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in certain cases there, they, they
know that if they cool the body down

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quite a bit before that, You know,
they-- The fact that they have them

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on a bypass machine helps keep blood
flowing through the brain, but there

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still is a chance that you could injure
the brain in those types of procedures.

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So there are some where they will
do, um, a hypothermic treatment

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during these planned surgeries.

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We We also know that in, in really,
really little kids who've just been born,

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who maybe have a umbilical cord wrapped
around their neck or something, and they

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don't get enough oxygen during the birth
process, they have some brain damage.

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And those kids, you know, if you,
if you cool those kids also down to

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about 33Â°F on a cooling blanket, you
can limit the amount of damage they

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have and, you know, increase the
chances that they live a normal life

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without any developmental problems.

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So there's, there's these other sort
of human cases where we've we, we've,

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seen hypothermia be protective.

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A lot of people have done animal
research that is more mirrors

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this cardiac arrest situation that
has shown that, that you can...

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This is really one of the best
ways to protect the brain.

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And part of that, we think, is because
when, you know, we talk about these

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cells deciding to die, there's a
lot of ways they can decide to die.

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And you could think, "Oh, I can get a
drug that blocks one of those ways."

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But then the, then the, you know,
the cell just goes around, you know,

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basically goes around the corner and
takes a different pathway to dying.

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Um, dissimilar from cancer, where it
may be like- Right this is the specific

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thing, and if I block that or, you
know, a, a sort of monogenetic, you

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know, neurologic disease where you're
like, "If I can stop the body from,

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from making that one bad protein, I
can, I can stop the disease here."

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But there's lots of ways
that the brain dies.

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So the th- th- the thought is
that hypothermia maybe slows

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down multiple mechanisms.

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And, you know, that's, that's
borne out in the animal data, but

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to some degree, we don't really
know how to implement it people.

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Like, who are the people we should cool?

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You don't wanna cool people who aren't
very injured because then you're

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exposing them to more time in the ICU
and on sedatives and all this stuff.

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on the other hand, don't wanna...

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If you can protect somebody, you
wanna cool them long enough so that

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You're giving that brain a chance to,
to get as much recovery as it can.

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so they, they did some studies back
in two thousand that were, were

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relatively small studies called the
Haka study and the Bernard study,

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but they did have pretty eye-popping
results of improving mortality.

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Um, they didn't use modern devices.

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They more or less used ice packs
and, and cooling, cooling, cooling

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blankets, fans, things like that.

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But they also, in their control groups,
didn't do much to control fever.

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So that was one of the criticisms of those
studies in that the effect they saw from

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hypothermia more this protection from
being low, was it the fact that being a

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little low was a good way to not go high?

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So that, that left-- even though the
guidelines, um, that came to be after,

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after two thousand and two when those
studies came out were favorable and

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saying that we should cool people for
roughly twelve to twenty-four hours,

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there, there were these unanswered
questions as to would this really work

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in, in a, you know, bigger population
th- and also a population where the

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ICU was, was more diligently treating
fever in a, in a control group.

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Scott: Yeah.

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Okay.

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So, so walking into this, the
design of this trial and, and the,

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the design process of this trial
was, it was extended, getting

00:13:13.220 --> 00:13:14.400
funding and various things.

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Uh, it's thought that hypothermic cooling
of patients that come in after cardiac

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arrest, restoration of, of, uh, of the
heart, of, of blood flow, they come

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in, does cooling them, it-- uh, it's
thought that cooling is beneficial.

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There still remains a number of questions.

00:13:34.490 --> 00:13:38.340
Conclusive evidence of
benefit is also not there.

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So going into this trial, it is somewhat
standard of care at your University

00:13:44.160 --> 00:13:48.420
of Michigan Hospital that if somebody
suffers from this, they will be cooled.

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So what is it that ICECAP
decides to explore?

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I imagine it could be temperature.

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I could imagine how fast you get
them there, whether you cool them

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at all, whether you just prevent
this, how long you cool them.

00:14:02.970 --> 00:14:05.520
What is it that ICECAP
is going to explore?

00:14:06.638 --> 00:14:07.008
Will Meurer: Yeah.

00:14:07.108 --> 00:14:09.008
I think one other thing that, that maybe I

00:14:09.010 --> 00:14:09.270
Scott: Hmm.

00:14:09.468 --> 00:14:14.068
Will Meurer: out about those early studies
is one thing that they did was they

00:14:14.068 --> 00:14:19.558
focused on sort of the patients who they
thought had the best chance of recovery,

00:14:19.788 --> 00:14:25.108
and these were people they thought had
a cardiac arrest from cardiac causes.

00:14:25.548 --> 00:14:29.738
And that meant when, when EMS shows up,
they're in this ventricular fibrillation

00:14:29.738 --> 00:14:33.808
or v-ventricular tachycardia-type
rhythm, like my guy at the VA.

00:14:34.288 --> 00:14:38.168
Um, they get shocked, and their,
their heart gets restored.

00:14:38.498 --> 00:14:42.108
So that's sort of one mechanism
why the, why the heart starts or

00:14:42.138 --> 00:14:46.503
h- why the heart stops And that's
thought to be favorable because you

00:14:46.503 --> 00:14:48.573
basically you're like a normal person.

00:14:48.573 --> 00:14:50.583
You don't know you have
any medical problems.

00:14:50.883 --> 00:14:53.083
And all of a sudden, a clot
flicks off to a big vessel in

00:14:53.083 --> 00:14:55.193
your coronary and bam, you drop.

00:14:55.513 --> 00:14:58.763
So your body isn't very sick from
other diseases, maybe a little bit

00:14:58.763 --> 00:14:59.953
of hypertension here and there.

00:15:00.363 --> 00:15:04.883
But, you know, getting that person,
you know, back and going is one thing.

00:15:05.313 --> 00:15:09.483
The other type of cardiac arrest
where somebody's heart stops is

00:15:09.483 --> 00:15:10.943
what we call non-shockable arrest.

00:15:11.003 --> 00:15:15.293
And that comes from else
going on with the patient.

00:15:15.363 --> 00:15:20.433
Like they have a bad respiratory problem
and they get less and less oxygen.

00:15:20.433 --> 00:15:23.163
And all of a sudden, there's not
enough oxygen in their bloodstream

00:15:23.483 --> 00:15:28.483
to keep the heart moving or they
have a blood clot heaven forbid.

00:15:28.483 --> 00:15:31.993
And this is something that we will find
came up more commonly than we thought.

00:15:32.483 --> 00:15:34.823
They take an overdose
and they stop breathing.

00:15:34.853 --> 00:15:40.323
And when they stop breathing, the body
is more slowly being deprived of oxygen.

00:15:40.363 --> 00:15:45.853
Whereas in that initial case of the sudden
drop, you have a normal oxygen level.

00:15:45.853 --> 00:15:51.613
So even though your heart has stopped,
there was a fair bit of oxygen and

00:15:51.613 --> 00:15:53.123
stuff that was pushed up to the brain.

00:15:53.433 --> 00:15:57.493
Whereas if you're not breathing for
a while and a while and a while,

00:15:57.863 --> 00:15:59.803
there's even more sort of pre-injury.

00:16:00.043 --> 00:16:02.423
So when I said we don't really
know much about severity,

00:16:02.773 --> 00:16:04.263
we did know that one thing.

00:16:04.553 --> 00:16:09.323
And the one limitation of the
trials was those 2002 trials, they

00:16:09.323 --> 00:16:12.053
didn't think those people with the
latter type, the non-shockable,

00:16:12.323 --> 00:16:14.333
had a lot of prospect for recovery.

00:16:14.583 --> 00:16:17.373
So they really only studied
those who had shockable rhythms.

00:16:17.583 --> 00:16:21.363
So another thing that another big
question we had is the guidelines

00:16:21.363 --> 00:16:24.153
were vague the non-shockable people.

00:16:24.183 --> 00:16:29.563
They said, please cool the people who had
shockable rhythms, but the people with

00:16:29.563 --> 00:16:32.233
non-shockable rhythms, we're not sure.

00:16:32.653 --> 00:16:36.473
There's no reason to think that
the brain wouldn't potentially be

00:16:36.473 --> 00:16:40.343
protected from hypothermia based
on these two different mechanisms.

00:16:40.663 --> 00:16:45.073
But there was a worry that maybe these
people had such a bad prognosis that if

00:16:45.073 --> 00:16:48.213
you include too many people like that
in your trials, you're not going to have

00:16:48.213 --> 00:16:50.033
enough good outcomes to see a difference.

00:16:51.115 --> 00:16:55.895
Scott: Okay, so the, the, the reason
for the cardiac arrest, shock, um,

00:16:55.895 --> 00:16:57.955
shockable and non-shockable is a question.

00:16:58.585 --> 00:17:02.445
Um, and then largely hypothermia.

00:17:02.715 --> 00:17:06.855
This trial-- By the way, I, I,
I'm not sure we, we laid this out.

00:17:07.355 --> 00:17:11.935
When you and I are speaking right
now, this trial is over, um,

00:17:11.935 --> 00:17:13.355
that we, we know the results.

00:17:13.355 --> 00:17:15.095
We are not gonna talk about the results.

00:17:15.095 --> 00:17:16.455
The results are coming out.

00:17:16.825 --> 00:17:21.835
Uh, believe they've been accepted
into JAMA, but, um, that we're

00:17:21.835 --> 00:17:25.415
going to have another podcast of
the results, and we're gonna talk

00:17:25.415 --> 00:17:26.805
about the results and what they mean.

00:17:27.245 --> 00:17:30.775
We wanna talk about the design, so we're
setting up the design part of this.

00:17:31.215 --> 00:17:35.865
So what is it y- So you, you are going
to look at two different kinds of

00:17:35.865 --> 00:17:37.995
patients, shockable and non-shockable.

00:17:38.475 --> 00:17:42.845
What is it-- What are the interventions
you're assigning to a patient?

00:17:44.508 --> 00:17:49.388
Will Meurer: I think one of the
things is, we arrived at this after

00:17:49.388 --> 00:17:52.968
having these meetings as part of
this interesting and, and really cool

00:17:52.968 --> 00:17:56.948
regulatory science initiative that
was sponsored by the US Food and Drug

00:17:56.948 --> 00:18:03.228
Administration and the, the US, uh, and
the Office of the Director at the NIH.

00:18:03.708 --> 00:18:06.428
Um, we did this project called
ADAPTT, which is, which is where we

00:18:06.428 --> 00:18:07.978
s- we, we started to work together.

00:18:08.408 --> 00:18:15.478
And, um, in the, the process, the,
the sort of straw man design for

00:18:15.478 --> 00:18:19.028
something like ICECAP was to look
at a, a, a few different cooling

00:18:19.028 --> 00:18:24.698
durations like twelve, twenty-four, and
forty-eight in shockable rhythms only.

00:18:25.518 --> 00:18:29.558
we had more feedback from a variety
of stakeholders who were at these

00:18:29.558 --> 00:18:33.508
meetings, it became clear that,
that that was probably too narrow.

00:18:33.508 --> 00:18:37.258
There was so much uncertainty in
the non-shockable people, but a,

00:18:37.328 --> 00:18:41.858
a great unmet need that we should
work to try to study both of those

00:18:41.858 --> 00:18:43.478
populations at the same time.

00:18:44.338 --> 00:18:48.838
But as we emerged in terms of, you
know, how we were planning the trial

00:18:48.838 --> 00:18:55.218
and what decisions we're making, we, um,
to make sure that if there was a signal

00:18:56.108 --> 00:19:01.098
the shockable rhythms, that we could
sort of find that even if things were

00:19:01.458 --> 00:19:03.188
different in the non-shockable rhythms.

00:19:03.488 --> 00:19:07.428
Or similarly, if because the
non-shockables typically have

00:19:07.428 --> 00:19:10.128
more brain damage, maybe they
need to be cooled longer.

00:19:10.448 --> 00:19:13.678
So th-those were, those were some of
the things that, that came through.

00:19:14.358 --> 00:19:17.858
We really wanted-- We didn't wanna
study how cold you made them.

00:19:17.858 --> 00:19:21.978
We, we focused on thirty-three degrees
or roughly ninety Fahrenheit from the

00:19:21.978 --> 00:19:26.038
animal models, that was, that was sort of
the best-- that was a sort of sweet spot.

00:19:26.328 --> 00:19:29.738
Some people have looked at other, you
know, like thirty-four or thirty-six.

00:19:30.148 --> 00:19:34.368
And we, we, we based on our read of
the, the human and animal literature,

00:19:34.678 --> 00:19:36.678
looking at depth wasn't so interesting.

00:19:37.698 --> 00:19:42.223
duration we felt was most
interesting like I said, in the

00:19:42.223 --> 00:19:44.533
neonates, it was about 72 hours.

00:19:44.813 --> 00:19:48.413
There was a very encouraging study in
pediatrics, which didn't quite achieve

00:19:48.443 --> 00:19:53.493
statistical significance called BABKA,
but 48 hours of cooling in, you know,

00:19:53.493 --> 00:19:58.633
kids who are 18 and under, most of whom
were actually two and under, 48 hours

00:19:58.633 --> 00:20:02.213
of cooling was, was quite promising
in terms of improving survival.

00:20:03.143 --> 00:20:05.063
So there were those sorts of numbers.

00:20:05.333 --> 00:20:08.243
But then in that one of those
first Australian studies, they got

00:20:08.243 --> 00:20:11.123
people cooled really quick, and
they only cooled them for 12 hours,

00:20:11.163 --> 00:20:12.683
and they also saw great results.

00:20:12.943 --> 00:20:15.523
So we had this sort of
range of uncertainty.

00:20:17.263 --> 00:20:19.643
So duration was important.

00:20:20.123 --> 00:20:22.683
But another thing that was
crucially important to us

00:20:22.993 --> 00:20:24.443
was the therapeutic window.

00:20:25.663 --> 00:20:29.153
we really felt that based on the
preclinical data, that it was

00:20:29.153 --> 00:20:31.733
important to get people cooled quickly.

00:20:32.583 --> 00:20:36.553
Some people come in cold, you know,
obviously, you've spent a lot of

00:20:36.553 --> 00:20:40.573
your life up in Minnesota, easier
to be-- easier for a patient to get

00:20:40.573 --> 00:20:44.633
cold up in Minnesota in the winter
than it is in Austin in the summer.

00:20:45.073 --> 00:20:48.613
So there is some of that, but a
lot of it is really, if the body's

00:20:48.713 --> 00:20:53.743
brain is injured, it, turns off your
temperature center to some degree.

00:20:53.983 --> 00:20:57.303
So your body is sort of even in
a relatively warm environment,

00:20:57.943 --> 00:20:59.433
body is going to get cold.

00:20:59.433 --> 00:21:05.663
So people cold early something we
looked at as very important to reduce

00:21:05.663 --> 00:21:07.313
variability in the trial, right?

00:21:07.313 --> 00:21:10.053
Because if we're like, we're
testing these different durations,

00:21:10.053 --> 00:21:13.323
but some people are getting cooled
starting 12 hours after injury.

00:21:13.663 --> 00:21:17.403
Some people it's two hours after injury,
some people it's six hours after injury.

00:21:17.783 --> 00:21:20.263
We felt that that could--
that heterogeneity could,

00:21:20.683 --> 00:21:22.133
could really sink our trial.

00:21:22.493 --> 00:21:26.873
So we did have a focus on with the
hopes that, that sites would get

00:21:26.873 --> 00:21:33.233
really engaged and get devices on
people quickly to have, um, cooled

00:21:33.233 --> 00:21:35.173
quickly as a condition of the trial.

00:21:35.913 --> 00:21:39.153
Because of that, and because the
guidelines at the time it were-- was

00:21:39.153 --> 00:21:46.223
designed were cool everyone, we couldn't
have what one would consider a classic

00:21:46.273 --> 00:21:50.493
control group, um, in terms of let's
just turn-- let's just put a device

00:21:50.493 --> 00:21:54.443
on and set it to 37 degrees, you know,
ninety-eight point six, and just make

00:21:54.443 --> 00:21:56.483
sure they don't get fever, you know.

00:21:56.483 --> 00:21:59.833
So that-- we couldn't do that because
we requi-- we wanted people to be

00:21:59.833 --> 00:22:04.323
cooled before they were even to be
eligible for the trial so that, that

00:22:04.323 --> 00:22:07.273
sites-- since sites were cooling
everybody as a condition of being in

00:22:07.273 --> 00:22:11.373
the study, at least anybody with a
coma or that had to be their usual

00:22:11.373 --> 00:22:17.183
practice to get into the study, that
meant we could require patients to be

00:22:17.183 --> 00:22:20.873
cooled to a certain amount before they
could be randomized to a duration.

00:22:22.335 --> 00:22:22.565
Scott: Okay.

00:22:22.805 --> 00:22:27.965
So we are in the ICECAP trial, we're
gonna randomize people to a duration,

00:22:28.025 --> 00:22:33.555
and a critical part of all of this is
that we can't do no duration, no cooling.

00:22:33.935 --> 00:22:38.365
Uh, you would slow down people that are
gonna be cooled by trying to get consent

00:22:38.365 --> 00:22:40.255
or a waiver of consent or all of that.

00:22:40.475 --> 00:22:42.075
Standard of care is to cool them.

00:22:42.075 --> 00:22:46.605
So everybody is cooled in the
trial, but you're going to vary

00:22:46.605 --> 00:22:51.445
the length of time they're cooled
in the trial, um, uh, within this.

00:22:51.775 --> 00:22:57.145
And initially, uh, a- and, and going
back to this-- By the way, the ADAPT-IT

00:22:57.145 --> 00:23:01.275
project that you mentioned was, was a
fabulous project, and I think we had six

00:23:01.275 --> 00:23:07.405
different trials, and the goal of that
project was to explore innovative designs

00:23:07.405 --> 00:23:13.715
being brought to clinical trials in
the emergency room setting and to study

00:23:13.715 --> 00:23:16.495
barriers to bringing in innovative design.

00:23:17.165 --> 00:23:21.825
And, uh, interestingly, I think the number
one barrier was statisticians, but that,

00:23:21.945 --> 00:23:24.055
that's a, a topic for a different day.

00:23:24.315 --> 00:23:29.315
Um, uh, and this-- there, there was,
there was research, and we, we had,

00:23:29.315 --> 00:23:34.265
uh, IRB approval to study the people
building the designs as to, to what

00:23:34.265 --> 00:23:38.700
were barriers and what were going
on So I remember the initial design

00:23:38.700 --> 00:23:45.100
that I simulated for this trial was
randomizing patients to twelve hours,

00:23:45.100 --> 00:23:47.350
twenty-four hours, and forty-eight hours.

00:23:47.590 --> 00:23:50.120
And initially, it wasn't the
two populations, so we'll

00:23:50.120 --> 00:23:51.510
kind of ignore that part.

00:23:52.000 --> 00:23:57.970
And, uh, we had a dichotomous outcome
of their ninety-day MRS status, and we

00:23:57.970 --> 00:24:03.240
simulated those trials and showed a number
of those results, and a lot of times

00:24:03.240 --> 00:24:04.970
it didn't really answer the questions.

00:24:04.970 --> 00:24:08.110
There was a great deal of, "Wow,
boy, I wish we had more on the

00:24:08.110 --> 00:24:09.660
smaller ones in this case."

00:24:09.660 --> 00:24:15.290
Is even somewhat of an optimal curve
that it kind of goes up at twenty-four

00:24:15.290 --> 00:24:19.940
and kind of comes down, left huge
uncertainty whether this was flat,

00:24:19.940 --> 00:24:22.660
whether what the shape of this curve was.

00:24:22.660 --> 00:24:30.210
So there was a desire to have more
durations, focusing patients where the

00:24:30.210 --> 00:24:33.360
best benefit was being, being seen.

00:24:33.700 --> 00:24:38.740
And so as you described, the next
generation of this trial was, first

00:24:38.740 --> 00:24:42.770
of all, changing the endpoint to
analyzing the whole scale, and

00:24:42.770 --> 00:24:44.220
we'll get to how we did that.

00:24:44.830 --> 00:24:50.670
But we opened up six hours, twelve
hours, eighteen hours, twenty-four hours,

00:24:50.940 --> 00:24:55.660
all the way up, I think, originally
to eighty-four and ninety-six hours.

00:24:56.120 --> 00:25:00.290
There were twelve different durations
that a patient could be randomized

00:25:00.530 --> 00:25:05.780
in version number two of this
trial that we started to simulate.

00:25:08.988 --> 00:25:12.328
Will Meurer: And yeah, and then I think
this was one of the really great things

00:25:12.328 --> 00:25:18.598
about the Adaptive project was that by
sort of illustrating design first, you

00:25:18.598 --> 00:25:22.318
could show people like Oh, I don't know.

00:25:22.318 --> 00:25:25.938
At the end of that trial, I'm gonna
be sad or have this anticipated

00:25:25.938 --> 00:25:27.428
regret as we, we talk about it.

00:25:27.458 --> 00:25:29.288
Or, or doing the pre-mortem, right?

00:25:29.318 --> 00:25:32.898
If we do that twelve, twenty-four,
forty-eight trial and it's, it's, it's

00:25:32.898 --> 00:25:37.888
sort of like, "Oh, we should have gone
out to seventy-two," or, "Oh, maybe,

00:25:37.888 --> 00:25:39.308
maybe six would've been better."

00:25:39.338 --> 00:25:43.088
Or so, so, so that-- You know, I
think that's an important concept.

00:25:43.118 --> 00:25:50.558
I think the thing that also is, you know,
I think really fascinating is that, you

00:25:50.558 --> 00:25:55.098
know, by seeing the way the trial could
come out, then you get people together

00:25:55.098 --> 00:25:58.678
and they're like, "Gosh, we need to, we
need to do something a little different."

00:25:59.358 --> 00:26:02.148
And the other thing, though, is
you do have to put this-- And, and

00:26:02.148 --> 00:26:05.468
sometimes I think, again, when you
say like statisticians are the, are

00:26:05.468 --> 00:26:10.328
the barrier, you, you're also working
with, hey, the guidelines say cool

00:26:10.328 --> 00:26:11.978
everybody for twenty-four hours.

00:26:12.298 --> 00:26:16.378
So to some degree you could say, yeah,
let's look from ninety-six to zero.

00:26:17.398 --> 00:26:21.438
from a statistical perspective, you know,
the most efficient way to, to do that

00:26:21.438 --> 00:26:24.468
is you're gonna start putting people
on both ends to sort of see like, oh,

00:26:24.468 --> 00:26:28.378
is this, i-is this possibly flat or, or
maybe there's gonna be an upslope in the

00:26:28.378 --> 00:26:32.628
middle, but, but, but, you know, kind
of go into the ends and, and fill in.

00:26:32.948 --> 00:26:36.158
But since those are far from, you
know, both those are far from what was

00:26:36.158 --> 00:26:40.528
guideline recommended at the time, the
human constraint on the model was like,

00:26:40.988 --> 00:26:44.918
we do have to do it this way because
it, it's not ethical to all of a sudden

00:26:45.558 --> 00:26:47.138
cool people for ninety-six hours.

00:26:47.168 --> 00:26:50.788
Um, you know, people who are in
ICUs, you're gonna-- You know, if

00:26:50.788 --> 00:26:53.358
they start to wake up, you're gonna
want them to let, let them wake up.

00:26:53.418 --> 00:26:54.118
So, so the, the...

00:26:54.118 --> 00:26:58.238
You know, if it's only six hours of
cooling, the guidelines say twenty-four.

00:26:58.238 --> 00:27:00.268
Patients are gonna be like,
"Why are you putting my family

00:27:00.268 --> 00:27:01.678
member on such a small duration?"

00:27:01.978 --> 00:27:06.068
So, so we did have this constraint
because there was, you know, real

00:27:06.318 --> 00:27:09.208
recommendations for practice that we...

00:27:09.358 --> 00:27:11.528
You know, I think in retrospect
sometimes people say, "Well,

00:27:11.528 --> 00:27:15.578
like, why didn't you just evenly
distribute them across ten arms?"

00:27:15.948 --> 00:27:17.438
And it's like, wasn't...

00:27:17.438 --> 00:27:20.448
You know, based on what we knew about the
science at the time we were coming up with

00:27:20.448 --> 00:27:24.188
the design and starting the trial, you
know, that wouldn't have been ethical.

00:27:24.248 --> 00:27:27.278
So that, so that's I think, you
know, important, and I think

00:27:27.278 --> 00:27:28.228
that was one of the things.

00:27:28.828 --> 00:27:30.978
You know, you would show us a d-

00:27:31.135 --> 00:27:35.135
Scott: Yep.

00:27:35.138 --> 00:27:37.928
Will Meurer: a little too,
too long on this neutral case.

00:27:37.928 --> 00:27:39.828
Like, why is it, why is it
putting people over there?"

00:27:39.828 --> 00:27:44.678
And then you'd say, because it
wants to know, and that's how it's

00:27:44.678 --> 00:27:46.208
gonna find that slope of that line."

00:27:46.208 --> 00:27:49.578
And say, "Well, like, let's, let's,
let's, let's see if we can, you know,

00:27:49.688 --> 00:27:51.398
nudge that backwards so that it's...

00:27:51.768 --> 00:27:56.308
It needs to have stronger evidence that
there's an upslope, you know, between, you

00:27:56.308 --> 00:27:59.458
know, durations that we've used before,
twelve to forty-eight, before it starts

00:27:59.458 --> 00:28:01.068
looking at those longer durations."

00:28:01.068 --> 00:28:03.978
So I think that was so
crucially important.

00:28:03.978 --> 00:28:06.518
It took a lot of, you know,
time and energy to go back

00:28:06.518 --> 00:28:07.768
and, and think of those things.

00:28:08.238 --> 00:28:11.898
But, you know, it's one of those
things, though, when people look

00:28:11.898 --> 00:28:15.998
back at the design, sometimes they're
like, "Hey, why did they do that?"

00:28:16.108 --> 00:28:19.738
But once you know the results- Like,
the reason we were doing the trial

00:28:19.738 --> 00:28:20.888
was we didn't know the results.

00:28:20.888 --> 00:28:22.318
We didn't know what this
was gonna look like.

00:28:23.048 --> 00:28:28.298
Um, so we wanted it to be flexible to a
variety of different truths and be able

00:28:28.298 --> 00:28:33.158
to get us, uh, an answer that could be
very useful to us under a variety of these

00:28:33.158 --> 00:28:40.998
scenarios, whether it was like up sloping
late, up sloping early, flat, going down.

00:28:40.998 --> 00:28:43.908
And I think that was something that,
that when people say, "Well, what--

00:28:44.278 --> 00:28:46.228
why'd you do all this complicated stuff?"

00:28:46.688 --> 00:28:49.028
You know, this is something that's
come up in adaptive designs.

00:28:49.028 --> 00:28:52.658
I think like the ASTON trial of the
neutrophil inhibitor for stroke,

00:28:53.108 --> 00:28:54.558
I think is, is sometimes cited.

00:28:54.598 --> 00:28:56.388
It was a really innovative design.

00:28:56.438 --> 00:29:00.738
They, they went through so many different
dose tiers in their design, and I

00:29:00.738 --> 00:29:02.368
thought it was like an amazing trial.

00:29:02.368 --> 00:29:07.128
But then critics later are like, they
could have learned that with three doses

00:29:07.128 --> 00:29:08.758
and, you know, a third of the patients."

00:29:09.208 --> 00:29:11.868
But didn't know that in advance, right?

00:29:11.868 --> 00:29:15.498
Like, if they had done three
doses, maybe they would have tested

00:29:15.498 --> 00:29:18.418
five-- you know, three different
ones after that initial trial.

00:29:18.708 --> 00:29:22.968
As opposed to they got to a very
convincing answer that in, in

00:29:22.968 --> 00:29:27.088
the population they were testing,
their agent, you know, didn't,

00:29:27.118 --> 00:29:28.818
didn't help those stroke patients.

00:29:28.818 --> 00:29:32.888
So, so I think sometimes when we
have adaptive designs that, that

00:29:33.038 --> 00:29:37.128
kind of go more into that, neutral
space, people are, people are like...

00:29:37.228 --> 00:29:41.098
Or even adaptive designs that show
something positive, people are like, "Oh,

00:29:41.428 --> 00:29:45.598
well, it would've been much easier to just
assign them to those two groups," right?

00:29:45.598 --> 00:29:46.078
But it's like,

00:29:46.825 --> 00:29:47.045
Scott: Right, right,

00:29:47.148 --> 00:29:48.098
Will Meurer: that when we started.

00:29:48.505 --> 00:29:48.595
Scott: right.

00:29:48.595 --> 00:29:48.725
Right.

00:29:49.155 --> 00:29:49.375
Right, right.

00:29:49.785 --> 00:29:50.115
Okay.

00:29:50.315 --> 00:29:54.835
So i- through the simulations, a- as
you describe this, quickly, by the

00:29:54.835 --> 00:29:59.605
way, 84 and 96 hours dropped out,
largely for operational things, that

00:29:59.605 --> 00:30:03.275
people are in the, for five days in
the, the, the emergency room, and

00:30:03.275 --> 00:30:06.565
it would've been awkward to do the
trial where they go to the ICU as...

00:30:06.845 --> 00:30:11.825
So we dropped those off, and we-- I,
I remember showing a simulation where

00:30:11.825 --> 00:30:18.495
initially we simulate to those same
three arms, 12, 24, and 48, and then

00:30:18.495 --> 00:30:21.105
we do response adaptive randomization.

00:30:21.485 --> 00:30:26.805
We allocate patients where they're most
likely to be benefit across that curve.

00:30:26.855 --> 00:30:31.615
If the low doses are doing the best, we
put more there, refining that later ones.

00:30:31.965 --> 00:30:36.265
And I showed an example, a single
trial where the curve went up, it

00:30:36.265 --> 00:30:39.595
was flat, it went down a little bit,
but then it started to go back up.

00:30:39.625 --> 00:30:43.705
I was using a smoothing spline
across the, the 12 durations.

00:30:44.325 --> 00:30:47.555
And it started to assign
patients at 72 hours.

00:30:48.205 --> 00:30:54.475
And the clinicians all said, "Nope, we
would never do that," that that, that

00:30:54.475 --> 00:30:57.035
dose response curve is not believable.

00:30:57.395 --> 00:31:03.455
There's the-- It's, it's not conceivable
that the curve across durations would

00:31:03.455 --> 00:31:07.665
start to decline, that patients do
worse as you cool them more, and all

00:31:07.665 --> 00:31:09.595
of a sudden it starts to go up again.

00:31:10.265 --> 00:31:14.615
And that was a, that was a,
a, a really important insight.

00:31:14.955 --> 00:31:21.995
Also, uh, on the, on the other side,
largely it was that this curve is gonna be

00:31:21.995 --> 00:31:28.215
an inverted U, that if this is beneficial,
or if it's not beneficial, it fits on

00:31:28.215 --> 00:31:32.315
this curve, that there's gonna be a
point where cooling more is beneficial.

00:31:32.685 --> 00:31:36.875
It may then be flat for some length
of time, and then it's gonna go down.

00:31:36.875 --> 00:31:39.065
And we know at the extremes
those would be the cases.

00:31:39.065 --> 00:31:43.225
If you cool somebody for 30 days,
they're not going to do well, and,

00:31:43.225 --> 00:31:44.755
and we know that it's gonna get worse.

00:31:45.255 --> 00:31:49.605
Now, so that became the analysis
model of this trial, that it's

00:31:49.605 --> 00:31:51.825
an inverted U dose response.

00:31:51.825 --> 00:31:53.555
It has a-- it can have a flat area.

00:31:53.925 --> 00:31:59.585
The important part is all of the, the,
the 10 doses could be on the upslope.

00:32:00.555 --> 00:32:04.565
So we modeled it so the doses
are somewhere on that inverted U.

00:32:04.565 --> 00:32:07.935
They could all be on the upslope,
and 72 hours is the best.

00:32:08.455 --> 00:32:11.445
They could all be on the
downslope, and cooling is bad.

00:32:11.735 --> 00:32:13.575
The more you cool them,
the worse they get.

00:32:13.575 --> 00:32:17.525
They could all be flat, that from six
to 72, it doesn't matter, it's flat.

00:32:17.555 --> 00:32:21.005
Or it could go up and be flat,
it could be flat and go down.

00:32:21.495 --> 00:32:26.370
That's the model that drives the trial
And what's really nice about that,

00:32:26.370 --> 00:32:30.880
so there's a Bayesian model of this
inverted U th- that allows the doses

00:32:30.880 --> 00:32:33.180
to be ordered somewhere on that scale.

00:32:33.890 --> 00:32:39.260
And what we're looking for is the smallest
dose that achieves the highest level,

00:32:39.780 --> 00:32:45.150
and that's defined by this, the, as this
optimal dose that's defined by the curve.

00:32:45.510 --> 00:32:50.390
Because we know if it's getting flat,
there's-- you don't wanna go bigger.

00:32:50.470 --> 00:32:51.860
There's no reason to go bigger.

00:32:51.860 --> 00:32:53.770
It's not gonna go flat and then up.

00:32:53.840 --> 00:32:54.990
It can't in this shape.

00:32:56.000 --> 00:33:01.020
So we use that in response-adaptive
randomization to allocate patients,

00:33:01.550 --> 00:33:03.740
and that was the next version of this.

00:33:03.740 --> 00:33:08.180
And we added in, you, you addressed
these gu- guardrails that we didn't

00:33:08.180 --> 00:33:12.000
wanna start with people on six
hours, and we didn't wanna start

00:33:12.000 --> 00:33:15.440
with people on 60 hours or 72 hours.

00:33:15.940 --> 00:33:21.440
If the evidence was building that the
dose response was continually increasing

00:33:21.440 --> 00:33:27.340
through up to 60, and the algorithm
thought it was likely that was the best,

00:33:27.340 --> 00:33:33.930
we would open that arm with guardrails,
and we would open six with guardrails if

00:33:33.980 --> 00:33:39.780
it appeared that six might be the most
effective dose or this optimal dose.

00:33:39.780 --> 00:33:44.820
Like, if it looks really flat, we
could open six, only with adaptive

00:33:44.820 --> 00:33:49.270
conditions in the trial, is how
we started to migrate the design.

00:33:51.500 --> 00:33:52.180
Then...

00:33:52.210 --> 00:33:53.140
Yeah, yeah, go ahead.

00:33:53.208 --> 00:33:53.338
Will Meurer: no.

00:33:53.338 --> 00:33:54.358
No, no, you can, you keep

00:33:54.490 --> 00:34:00.550
Scott: I was gonna say, then it became
we want to investigate both non-shockable

00:34:00.550 --> 00:34:05.890
and shockable, and the concern is
that this optimal place is different

00:34:05.890 --> 00:34:07.910
for shockable and non-shockable.

00:34:07.910 --> 00:34:12.550
As you set up, it might be, depending
on the etiology for why the person

00:34:12.550 --> 00:34:16.530
went down, you might wanna cool
longer or shorter within that.

00:34:16.880 --> 00:34:22.670
So we ended up moving the design to
having the same duration response

00:34:22.670 --> 00:34:27.170
model modeled separately in the two
populations and having different

00:34:27.170 --> 00:34:32.380
response adaptive randomization
probabilities by rhythm type.

00:34:35.858 --> 00:34:38.018
Will Meurer: Yeah, the thing
I was gonna say is, you know,

00:34:38.338 --> 00:34:39.408
that's another thing, right?

00:34:39.448 --> 00:34:42.168
People, you know, would say,
"We don't think this duration

00:34:42.168 --> 00:34:43.888
response can go up and down."

00:34:44.638 --> 00:34:48.658
But somebody later might, like, do
some animal research and say, "Oh,

00:34:48.658 --> 00:34:54.078
gosh, biologically, you need to cool
during this reperfusion period, and

00:34:54.078 --> 00:34:57.998
then maybe you need to cool later
during this, you know, period where

00:34:57.998 --> 00:34:59.598
the brain is getting swollen."

00:35:00.598 --> 00:35:03.958
But again, that's not one of the arms
we had, where it's like cool from

00:35:03.988 --> 00:35:08.418
six to twelve, pause, and then if you
haven't woken up, cool again from,

00:35:08.418 --> 00:35:09.908
you know, seventy-two to ninety-six.

00:35:10.858 --> 00:35:14.338
One of the things that, that I sort of
brought up, I think, back when we were

00:35:14.338 --> 00:35:18.778
having these planning meetings is, gosh,
wouldn't it be nice if there was some

00:35:18.778 --> 00:35:20.698
way that we could tailor the treatment?

00:35:21.108 --> 00:35:24.038
You know, this is, this sort of
Goldilocks approach to cooling.

00:35:24.388 --> 00:35:28.668
Like, if we had some way to measure
the brain and, and, oh gosh, it's, it's

00:35:28.668 --> 00:35:30.598
crying out to us as we rewarm somebody.

00:35:30.638 --> 00:35:33.708
Let's, oh, oh, let's, let's
like, then make them cool longer.

00:35:34.078 --> 00:35:40.008
And again, that was a lovely idea, but
we as a scientific community at the time

00:35:40.238 --> 00:35:45.098
said, "Hey, Will, that's cute, but we
don't know enough about how this works

00:35:45.098 --> 00:35:48.588
to do something that complicated that,
that might take a billion patients."

00:35:48.918 --> 00:35:53.808
Um, but we have earnest uncertainty in
these, you know, in these durations that

00:35:53.808 --> 00:35:57.828
we're testing and whether there's, know,
I think, you know, as, as we'll get

00:35:57.828 --> 00:36:03.018
to next, while we don't have a control
group, if everything's on the upslope,

00:36:03.698 --> 00:36:08.218
and it's a pretty good upslope, that's
a, it's a pretty good way to connect the

00:36:08.218 --> 00:36:09.958
dots with a, with a no cooling group.

00:36:10.418 --> 00:36:13.578
Um, so, so I think have to make...

00:36:13.578 --> 00:36:18.178
You know, we did th-think that there
could be individual designs that, that

00:36:18.208 --> 00:36:23.258
maybe could be better for patients,
but we didn't have any of them off the

00:36:23.258 --> 00:36:28.228
shelf, and didn't have a good way to,
to sort of think about how we could

00:36:28.228 --> 00:36:32.138
implement something like that, that
sort of let me cool them until their

00:36:32.138 --> 00:36:34.328
brain tells me It's ready to wake

00:36:34.375 --> 00:36:35.305
Scott: We weren't ready.

00:36:35.645 --> 00:36:35.965
Yeah

00:36:36.068 --> 00:36:39.828
Will Meurer: we, you know, one of the
other constraints that we all have in,

00:36:39.868 --> 00:36:44.388
in this space that is also something
that's sort of really interesting is

00:36:45.288 --> 00:36:51.208
there is a lot of pressure in, in the US
healthcare system in particular kind of

00:36:52.518 --> 00:36:57.108
get bored with providing critical care
to somebody who might not wake up say,

00:36:57.788 --> 00:37:03.018
"Yeah, you know, Uncle Joe's lived a good
life, but sure if he's gonna wake up."

00:37:03.018 --> 00:37:06.068
And then having people wanna do
care limitations and remove people

00:37:06.068 --> 00:37:10.068
from technologic support which,
which, which commonly happens.

00:37:10.438 --> 00:37:13.658
But in a trial like ICECAP,
that's a huge problem, right?

00:37:13.658 --> 00:37:16.228
Because these people aren't being
given an opportunity to wake up.

00:37:17.088 --> 00:37:18.478
of the potential mechanisms...

00:37:18.538 --> 00:37:21.908
You know, I talk about
biological mechanisms of cooling.

00:37:23.158 --> 00:37:25.848
One of the potential mechanisms of
cooling, at least in the clinical

00:37:25.848 --> 00:37:32.618
trial s-sense of potentially improving
outcomes, is the longer you cool--

00:37:32.618 --> 00:37:35.628
You can't, you can't pull the plug
on somebody while they're cold.

00:37:35.628 --> 00:37:36.228
You have to, you know...

00:37:36.228 --> 00:37:40.578
So, so if you have a longer time
period, you're basically, you know,

00:37:40.578 --> 00:37:45.128
sort of creating this sort of reverse
shot clock of, you gotta wait at

00:37:45.128 --> 00:37:49.488
least this long before you, you take
a shot at letting this person wake up.

00:37:49.968 --> 00:37:54.108
And in some of the trials that
have been done, have been waking

00:37:54.108 --> 00:37:57.088
up, you know, twenty-two to
thirty days after the injury.

00:37:57.558 --> 00:38:01.028
Now, that's not to say that every single
patient who has a cardiac arrest should

00:38:01.028 --> 00:38:04.908
be given twenty-two to thirty days to
wake up, but, but many of them aren't,

00:38:04.968 --> 00:38:07.178
aren't giving, being given more than two.

00:38:07.658 --> 00:38:12.338
And that's, again, that, that, you
know, certain European countries,

00:38:12.338 --> 00:38:15.628
people are much more willing to
give it a, give it a week or two.

00:38:16.048 --> 00:38:19.788
Um, again, not trying to make this a,
a sort of value judgment on different

00:38:19.788 --> 00:38:23.388
societies, but it's an observation
that, that people do handle these

00:38:23.388 --> 00:38:25.088
things a little differently in places.

00:38:25.568 --> 00:38:28.718
Um, and, and there's also a
lot of clinicians who are like,

00:38:29.718 --> 00:38:31.048
"I'm sure they won't wake up."

00:38:31.998 --> 00:38:35.848
But if you tell that to everybody at day
two, and sometimes it takes people five

00:38:35.848 --> 00:38:40.138
to twenty days to wake up, you're gonna
be right, none of your patients wake up.

00:38:41.248 --> 00:38:43.498
But some of them would have
if you had given them longer.

00:38:43.498 --> 00:38:44.348
So, so we also have

00:38:44.500 --> 00:38:44.640
Scott: And

00:38:44.688 --> 00:38:50.118
Will Meurer: of, you know, social
element of the trial and, and working

00:38:50.118 --> 00:38:51.978
to do, you know, another intervention.

00:38:51.978 --> 00:38:55.128
You say, "Well, why did you,
you, you pick duration?"

00:38:55.398 --> 00:38:56.728
'Cause that was most interesting.

00:38:57.008 --> 00:38:59.618
We tried to limit variability
on this care limitation by

00:38:59.618 --> 00:39:01.048
having clinical standardization.

00:39:01.048 --> 00:39:04.298
Say, you know, "Please talk
to us if you're doing this."

00:39:04.298 --> 00:39:08.758
You have to have a defined protocol to
prognosticate whether you're doing an EEG,

00:39:08.758 --> 00:39:12.638
you're doing brain imaging, you're doing
blood tests to make sure that if you, if

00:39:12.638 --> 00:39:16.138
you wanna tell a family that this person
isn't gonna wake up, you do have some

00:39:16.138 --> 00:39:19.758
additional evidence that sort of backs
that up, that it's, it's, A, it's pretty

00:39:19.758 --> 00:39:21.038
unlikely that they're gonna wake up.

00:39:21.038 --> 00:39:23.098
So that was another aspect of the trial.

00:39:23.098 --> 00:39:26.558
It was a feature of some concurrent
European trials that, that went

00:39:26.558 --> 00:39:29.188
on, that they did, they did
that in a standardized way.

00:39:29.528 --> 00:39:34.693
So that's another thing, but from a study
design perspective people don't complete

00:39:34.693 --> 00:39:39.063
their duration of cooling because of
early care limitations, it introduces,

00:39:39.103 --> 00:39:42.733
um, you know, noise into our trial.

00:39:42.733 --> 00:39:45.823
You know, our trial has less ability to
pick up a treatment effect when those

00:39:45.823 --> 00:39:50.073
observations aren't contributing really
to the, the treatment effect estimate.

00:39:51.540 --> 00:39:55.710
Scott: we, we, for, for
especially the statisticians out

00:39:55.710 --> 00:39:57.420
there, we do intend to treat.

00:39:57.510 --> 00:40:02.580
So if a patient is, is g- is assigned
forty-eight hours and dies at twelve

00:40:02.580 --> 00:40:05.710
hours, they're in the forty-eight-hour
arm, and their outcome is that.

00:40:05.710 --> 00:40:08.840
If they somehow come off
of it at twenty-four hours,

00:40:08.840 --> 00:40:09.800
they're forty-eight hours.

00:40:09.800 --> 00:40:12.600
So it's intent to treat,
uh, from the arms of that.

00:40:12.600 --> 00:40:18.580
Um, I, I, yeah, I think it's an or-- in a
really important part in the interactions

00:40:18.580 --> 00:40:25.200
of this, I remember we, we went to
the NIH presenting to get this funded.

00:40:25.570 --> 00:40:28.430
I think there was discussion about...

00:40:28.530 --> 00:40:32.700
Sorry, at that time, we went
with members of the FDA.

00:40:32.700 --> 00:40:37.230
The FDA really wanted this trial to run.

00:40:37.290 --> 00:40:41.440
Uh, Bram Zuckerman, in particular,
really wanted this trial to run.

00:40:41.800 --> 00:40:47.160
Now, medical devices out there have
been approved that they cool a patient.

00:40:48.390 --> 00:40:50.500
That's not tied to clinical benefit.

00:40:50.500 --> 00:40:54.260
It doesn't say it's good to cool people,
but you've demonstrated you can cool

00:40:54.260 --> 00:40:59.135
somebody to thirty-three degrees And
these are being used, and so there's

00:40:59.135 --> 00:41:03.395
not a great incentive for devices to
run this trial, to fund this trial,

00:41:03.395 --> 00:41:05.055
so they're not gonna fund this trial.

00:41:05.275 --> 00:41:08.435
There might even be a disincentive
to, to, to fund this trial.

00:41:09.025 --> 00:41:14.445
Um, the FDA wants this trial to run,
and so we went to the NIH, and the

00:41:14.445 --> 00:41:19.025
FDA went, uh, on behalf of the design
that we'd really like to see this

00:41:19.025 --> 00:41:24.415
trial run, which was sort of a unique
experience, uh, uh, in, in the whole

00:41:24.415 --> 00:41:26.665
interactions of getting this trial run.

00:41:26.905 --> 00:41:31.235
And eventually this trial
was, uh, funded by the NIH.

00:41:32.793 --> 00:41:33.253
Will Meurer: Yeah.

00:41:33.303 --> 00:41:39.803
I, I think the FDA even a little
more excited so to, so to speak

00:41:39.803 --> 00:41:40.723
about it, because really the

00:41:40.755 --> 00:41:44.755
Scott: Yep.

00:41:46.093 --> 00:41:49.543
Will Meurer: So the use of them to--
You, you can set a different target,

00:41:49.883 --> 00:41:53.553
but really the idea was that they were
to keep people at normal temperatures

00:41:53.843 --> 00:41:57.573
or pay-- or potentially warm people
up who have environmental hypothermia.

00:41:57.933 --> 00:42:01.133
So to some degree-- Well, and, you know,
every time I've given a presentation

00:42:01.133 --> 00:42:04.863
about ICECAP, I, I put in that
disclosure, "I will discuss off-label

00:42:04.863 --> 00:42:09.113
uses of these devices," because, you
know, the, the way that their label was.

00:42:09.283 --> 00:42:12.563
So the FDA felt that it was, uh,
important from a regulatory science

00:42:12.563 --> 00:42:16.013
perspective to learn more about
the safety of these devices when

00:42:16.013 --> 00:42:18.383
being used outside of their label.

00:42:18.713 --> 00:42:24.123
Um, so, so that was-- That, that gave
them additional enthusiasm for our design.

00:42:24.123 --> 00:42:29.573
And you're right, it was really
unique, I think, to have FDA I think

00:42:29.573 --> 00:42:31.003
FDA does a lot of great things.

00:42:31.053 --> 00:42:33.763
I think they can be great scientific
partners, and I think in this case,

00:42:34.073 --> 00:42:35.433
this is a great example of that.

00:42:35.753 --> 00:42:39.163
Like, in that they were interested in
doing what's right for patients, but,

00:42:39.503 --> 00:42:43.983
but learning in an unbiased way through
a clinical trial where all the adverse

00:42:43.983 --> 00:42:47.523
events are being adjudicated, people
are-- the outcome assessors are blinded

00:42:47.523 --> 00:42:51.663
to the duration of this cooling device
that they were subjected to and so forth.

00:42:52.103 --> 00:42:54.643
So, so a lot of real positives.

00:42:54.643 --> 00:42:57.733
I mean, it was, it was, it, a
delight working with them on it.

00:42:57.803 --> 00:43:00.833
And, you know, I, I was the
sponsor of the IDE, so I've had,

00:43:01.173 --> 00:43:02.483
had great interactions with them.

00:43:02.483 --> 00:43:04.483
They're really, really
thoughtful scientists there.

00:43:06.004 --> 00:43:11.464
Scott: Okay, so let's, let's summarize
the design because, uh, uh, uh, our

00:43:11.464 --> 00:43:15.664
listeners are gonna tune into this, and
then they're gonna tune into the results,

00:43:15.664 --> 00:43:17.464
and we'll do a podcast of the results.

00:43:17.464 --> 00:43:22.474
So this is a design of eighteen
hundred patients combined across

00:43:22.474 --> 00:43:26.694
rhythm types, where initially the
allocation is twelve, twenty-four, and

00:43:26.694 --> 00:43:29.214
forty-eight hours, equal randomization.

00:43:29.754 --> 00:43:33.354
After two hundred patients,
an interim analysis is done.

00:43:34.124 --> 00:43:37.694
The Bayesian model is fit
for both ris-- rhythm types.

00:43:38.064 --> 00:43:44.094
We do multiple imputation of patients
with thirty days MRS status projecting

00:43:44.094 --> 00:43:50.480
to their ninety-day status We have 90-day
MRS as the primary endpoint, and we use

00:43:50.480 --> 00:43:57.730
a weighted scale of the MRS for, for
analyzing that, not a dichotomization

00:43:57.730 --> 00:43:59.450
of that, so a weighted scale.

00:44:00.300 --> 00:44:04.830
At the interim analysis,
updated randomizations are made

00:44:04.830 --> 00:44:06.370
to the different durations.

00:44:07.570 --> 00:44:14.110
That is done every fifty patients in the
trial that these-- the RAR is updated

00:44:14.540 --> 00:44:16.400
throughout the course of the trial.

00:44:17.050 --> 00:44:22.270
There's a possibility of opening up,
uh, them on the right or the left.

00:44:22.270 --> 00:44:28.110
So the, the ones at the beginning,
twelve to forty-eight are open and

00:44:28.110 --> 00:44:31.800
can be, and it can be allocated
to right away, and anything in

00:44:31.800 --> 00:44:33.790
between that by every six hours.

00:44:34.230 --> 00:44:37.400
And certain conditions
could open up six hours.

00:44:37.630 --> 00:44:41.800
We, of course, we talked about opening
up zero, but that was not a possibility.

00:44:42.030 --> 00:44:43.970
So it could open up six.

00:44:43.970 --> 00:44:45.690
We talked about that in the design stage.

00:44:46.000 --> 00:44:49.160
And then it could open up sixty
or seventy-two on the other end

00:44:49.160 --> 00:44:54.560
if this appears to be a continual
increasing, um, uh, duration response.

00:44:55.410 --> 00:44:57.530
There is no early success.

00:44:57.580 --> 00:45:00.860
There's no stopping because we've
determined the right answer.

00:45:01.140 --> 00:45:06.040
There is futility if there's, uh,
comes to be at least a fifty percent

00:45:06.040 --> 00:45:10.850
probability that six hours is the best
thing to do, we'll stop a rhythm type.

00:45:10.850 --> 00:45:12.230
And we, we call it futility.

00:45:12.230 --> 00:45:17.100
It's largely that there's reasonable
evidence that there isn't an

00:45:17.100 --> 00:45:19.170
increasing duration response curve.

00:45:20.790 --> 00:45:27.500
The two primary analyses are this, are
what is the optimal duration to cool that

00:45:27.500 --> 00:45:33.950
comes from the Bayesian model, and is
there an increasing duration response?

00:45:34.060 --> 00:45:38.890
If there's an increasing duration
response, if twelve is better than

00:45:38.890 --> 00:45:44.240
six and eighteen is better than
twelve, it gives evidence without a

00:45:44.240 --> 00:45:47.180
zero arm that cooling is beneficial.

00:45:47.710 --> 00:45:53.400
And the FDA understood the non-non-zero
arm, and they understood this as a,

00:45:53.480 --> 00:45:58.730
as a signal that cooling is beneficial
to patients if there's an increasing

00:45:58.730 --> 00:46:00.530
relationship with length of cooling.

00:46:01.690 --> 00:46:05.770
Within that is part of the
primary analysis, uh, in the

00:46:05.770 --> 00:46:08.080
trial and the two rhythm types.

00:46:08.420 --> 00:46:13.880
Have, have I, have I summarized
the design appropriately?

00:46:14.513 --> 00:46:17.773
Will Meurer: Yeah, no, but we, we
maybe take a brief little tangent

00:46:17.773 --> 00:46:19.633
into the, uh, weighted mRS.

00:46:19.663 --> 00:46:23.413
And I think, you know, others, you
know, other, others have probably

00:46:23.413 --> 00:46:25.163
seen this in, in the stroke world.

00:46:25.590 --> 00:46:25.780
Scott: Yep.

00:46:26.333 --> 00:46:30.523
Will Meurer: for stroke, uh, we developed
this weighting scale for, for ICECAP,

00:46:31.033 --> 00:46:34.973
um, a little earlier than the strokes--
the stroke one, m- m-- you know, emerged.

00:46:34.973 --> 00:46:39.183
In the stroke one, they, they talked to
clinicians and, and patients and families

00:46:39.493 --> 00:46:42.853
to develop a series of we-- a series
of weights for the, the mRS states.

00:46:43.323 --> 00:46:49.933
And, um, in, in, in pedia or in
adult ICECAP, we, we set these sort

00:46:49.933 --> 00:46:54.083
of based on, on cl-- on what the
clinicians thought with the goal of

00:46:54.182 --> 00:47:00.193
accomplishing two things Can we
find people who more or less wake

00:47:00.193 --> 00:47:04.233
up, you know, their mRS is, is, is,
you know, sort of better than four?

00:47:04.713 --> 00:47:08.133
And amongst those who wake up, can
we distinguish amongst the people

00:47:08.133 --> 00:47:09.763
who have really excellent outcomes?

00:47:10.123 --> 00:47:16.112
I think when we commonly dichotomize,
it's like you get full credit at a 0 full

00:47:16.152 --> 00:47:20.113
credit at a 1 full credit at a 2 and all
of a sudden at a 3 you get no credit.

00:47:20.113 --> 00:47:21.483
It's the same as being dead.

00:47:21.973 --> 00:47:26.743
And that, in this disease, we
felt was, was the possibility of

00:47:26.743 --> 00:47:28.123
showing important improvements.

00:47:28.433 --> 00:47:32.733
Because someone with an mRS of three,
if they had a really severe stroke

00:47:32.783 --> 00:47:38.563
or severe stroke, had a ve- really
severe cardiac arrest, at n- at, at

00:47:38.563 --> 00:47:41.033
three months, that might be a very good
outcome, and they actually may have

00:47:41.033 --> 00:47:42.853
a, a potential for future trajectory.

00:47:43.153 --> 00:47:46.253
And we're doing a study called
POST-ICECAP um, that we designed

00:47:46.253 --> 00:47:47.953
to actually live after ICECAP.

00:47:49.123 --> 00:47:52.583
initially, it was following patients
after their three-month follow-up, but

00:47:52.583 --> 00:47:56.393
now it's following people at three,
six, nine, and twelve months to look at

00:47:56.393 --> 00:47:58.023
that trajectory of recovery over time.

00:47:58.023 --> 00:48:02.163
And, and there are certainly patients
for whom an mRS of three is, is, is

00:48:02.163 --> 00:48:06.693
a r- is a really, is a win in terms
of their severity of, of, of injury.

00:48:06.693 --> 00:48:08.693
So, so we did design this weighted scale.

00:48:09.033 --> 00:48:12.403
It's very similar to the utility-weighted
scale that is used, that was used in

00:48:12.403 --> 00:48:14.943
DAWN and DEFUSE and other stroke trials.

00:48:15.183 --> 00:48:19.153
Um, it's subtly different, but it,
it, it's-- the, the concept is the

00:48:19.153 --> 00:48:22.733
same, even though we arrived at it
for a scientific reason as opposed

00:48:22.733 --> 00:48:27.438
to inducing it from sort of Clinician
and patient's, uh, preferences.

00:48:29.030 --> 00:48:32.170
Scott: just for disclosure of what
it is, the MRS of zero, which is

00:48:32.170 --> 00:48:34.000
the best outcome, you get 10 points.

00:48:34.660 --> 00:48:36.340
A one, you get nine points.

00:48:36.390 --> 00:48:37.960
A two, you get eight points.

00:48:38.250 --> 00:48:40.110
A three, you get six points.

00:48:40.110 --> 00:48:43.070
So the two to three difference
was considered greater.

00:48:43.400 --> 00:48:47.790
And then below three for four, five,
and six, you get zero points, was,

00:48:47.790 --> 00:48:53.010
was, is the, the, the scale used, the
weighting of that used in the trial.

00:48:55.090 --> 00:49:00.270
Okay, and, and we should, uh,
highlight that MUSC and Sharon

00:49:00.270 --> 00:49:02.920
Yates did, uh, ran this trial.

00:49:03.220 --> 00:49:06.950
Uh, she's the-- they're the data
coordinating center, did a tremendous

00:49:06.950 --> 00:49:10.520
job o-on this, um, in the trial.

00:49:10.550 --> 00:49:15.100
So a complex mult-- many interim analyses
done during the trial, and they did a

00:49:15.100 --> 00:49:18.280
fantastic job, um, uh, running the trial.

00:49:18.800 --> 00:49:19.730
But we can't...

00:49:19.928 --> 00:49:22.528
Will Meurer: thing, like sometimes
people are like, "Oh gosh, turning

00:49:22.528 --> 00:49:24.118
around an interim analysis to change your

00:49:24.330 --> 00:49:28.200
Scott: And...

00:49:28.238 --> 00:49:28.998
Will Meurer: a data freeze."

00:49:28.998 --> 00:49:32.118
And, and you know, they were-- they, they
would, they would turn it around in a day

00:49:32.760 --> 00:49:32.970
Scott: Yeah.

00:49:33.078 --> 00:49:33.408
Will Meurer: you know, a

00:49:33.420 --> 00:49:33.710
Scott: Yep.

00:49:34.058 --> 00:49:34.468
Will Meurer: really.

00:49:34.518 --> 00:49:37.668
And it was-- They, they know it
was coming, but, you know, it's

00:49:37.700 --> 00:49:37.930
Scott: Yep.

00:49:37.968 --> 00:49:41.808
Will Meurer: protocol choice we made
to say we are gonna do this every

00:49:42.100 --> 00:49:42.270
Scott: Yep.

00:49:43.408 --> 00:49:47.518
Will Meurer: Um, know, we did, we did
also design a pediatric trial that has

00:49:47.568 --> 00:49:51.248
many features that are similar to adult
ICECAP, but some that are different.

00:49:51.358 --> 00:49:55.728
Um, and one of them is that because
there was more equipoise in that

00:49:55.728 --> 00:49:57.388
trial, it does have a no cooling group.

00:49:57.418 --> 00:49:58.938
It has a zero-hour duration.

00:49:59.318 --> 00:50:01.418
Goes all the way out to ninety-six
'cause of that data from

00:50:01.418 --> 00:50:03.908
neonates where seventy-two to
ninety-six worked well in them.

00:50:04.288 --> 00:50:06.758
But one thing is we did say that
the interim analysis would be

00:50:06.758 --> 00:50:10.208
every, approximately every ten
weeks to just make it a little bit

00:50:10.208 --> 00:50:12.458
more predictable, um, and nice.

00:50:12.488 --> 00:50:13.448
But, but, but Dr.

00:50:13.448 --> 00:50:18.758
Yates and the team at MUSC,
were phenomenal and, um, we were

00:50:18.758 --> 00:50:20.168
always keeping our eye on that.

00:50:20.778 --> 00:50:24.858
And but, but yeah, but it would, it
would change, you know, as an emergency

00:50:24.858 --> 00:50:27.778
physician and somebody who works in
the ICU, and I take stroke call, I'm

00:50:27.778 --> 00:50:30.878
like, "Oh, I gotta do something in
the middle of the night on a Tuesday."

00:50:30.878 --> 00:50:31.668
I'm used to that.

00:50:32.068 --> 00:50:35.508
Generally, and again, this is not a slight
on academic biostatisticians, that's

00:50:35.508 --> 00:50:37.188
not typically part of their workflow.

00:50:37.348 --> 00:50:41.448
Um, but, but they, they, they
got everything going so well, and

00:50:41.448 --> 00:50:42.608
it was, it was just a delight.

00:50:43.274 --> 00:50:43.334
Scott: Yeah.

00:50:43.334 --> 00:50:43.374
Yeah.

00:50:43.374 --> 00:50:43.494
Yep.

00:50:43.974 --> 00:50:44.254
Yep.

00:50:44.574 --> 00:50:45.044
Okay.

00:50:45.044 --> 00:50:48.954
We, we need to stop now because
we'd start telling results.

00:50:49.334 --> 00:50:55.704
So look for ICE CAP results, uh,
coming when we do another interim

00:50:55.704 --> 00:50:57.704
analysis, which we love to do here.

00:50:57.704 --> 00:51:02.444
So thank you, Will, and I look
to, to see you very shortly.

00:51:02.754 --> 00:51:07.524
Uh, and thanks everybody, and,
uh, thanks for joining us.

00:51:07.574 --> 00:51:10.944
Until next time, we are
here in the interim.