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LVH-BM ACC '21
ES
by
Elliot Stein
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Updated Apr 27, 2021
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Chapters
00:00
Chapter 1
00:06
Chapter 2
00:31
Chapter 3
01:02
Chapter 4
01:57
Chapter 5
01:59
Chapter 6
02:53
Chapter 7
03:02
Chapter 8
04:08
Chapter 9
05:07
Chapter 10
05:49
Chapter 11
05:57
Chapter 12
06:51
Chapter 13
Audio Transcript
Auto-generated
00:00 - 00:02
Hi and thank you so much for joining me today
00:02 - 00:05
for a short audio tour of our project entitled left
00:05 - 00:09
ventricular hypertrophy and biomarkers of cardiac damage and stress and
00:09 - 00:09
aortic stenosis.
00:10 - 00:12
My name is Elliot Stein and I am a second
00:12 - 00:14
year internal medicine resident at Vanderbilt.
00:14 - 00:17
I'm really excited to apply for fellowship in cardiology This
00:17 - 00:19
coming summer I've had the distinct honor of working with
00:19 - 00:20
my P.
00:20 - 00:22
I. Dr brian lemon and the rest of this fabulous
00:22 - 00:24
cadre of co authors on this project.
00:25 - 00:27
We studied the relationship between left and curricular hypertrophy, cardiac
00:28 - 00:30
damage and stress and the probability of survival at five
00:30 - 00:31
years after Tavern.
00:32 - 00:33
So we'll start with a little background.
00:34 - 00:37
Left ventricular hypertrophy often develops in response to pressure overload
00:37 - 00:40
from aortic stenosis and it is already well known that
00:40 - 00:43
there is an adverse association between greater LVE me left
00:44 - 00:47
ventricular mass index and worse clinical outcomes among patients with
00:47 - 00:49
severe as treated with Tavern.
00:49 - 00:52
But what is not yet known is whether preoperative biomarkers
00:52 - 00:55
of cardiac damage and stress namely plasma troponin and anti
00:55 - 00:59
pro BMP can further risk stratify those with severe A.
00:59 - 01:00
S. And left ventricular hypertrophy.
01:01 - 01:02
Going on to receive Tavern.
01:03 - 01:06
We used a multi center prospective registry of patients with
01:06 - 01:06
severe A.
01:06 - 01:10
S. Undergoing Taber which yielded 674 subjects with a mean
01:11 - 01:13
age of 82 years and was approximately 44%.
01:14 - 01:16
Female Patients had a mean sts score of 5.3.
01:18 - 01:20
We use core lab measured LV mass index.
01:20 - 01:24
In addition to other standard echocardiogram thick dimensions, We also
01:24 - 01:28
obtained preoperative plasma troponin Anti Pro Bmp on bank specimens
01:28 - 01:31
which were all quantitative ana rocha say we then used
01:32 - 01:35
adjusted cox proportional hazard models and restricted cube explains to
01:35 - 01:37
evaluate associations between L.
01:37 - 01:37
V. H.
01:37 - 01:39
And biomarkers and all cause death.
01:40 - 01:44
We made adjustments for age sex Bme sts, core hemoglobin,
01:45 - 01:49
creating clearance Taber approach left ventricular ejection fraction, presence of
01:50 - 01:54
oxygen dependent lung disease, mitral regurgitation severity, presence of a
01:54 - 01:56
fib or flutter and presence of active cancer.
01:57 - 01:59
So now let's take a look at figure one.
02:00 - 02:03
This figure shows the proportion of biomarker elevation among females,
02:03 - 02:04
males and both.
02:04 - 02:07
And it also stratified biomarker levels by L.
02:07 - 02:07
V. H.
02:07 - 02:11
Severity. Looking for some troponin, which is represented by the
02:11 - 02:11
blue graphs.
02:12 - 02:14
You can see that in females, males in both sexes
02:14 - 02:17
together, there is a statistically significant up trend in the
02:18 - 02:20
proportion of patients with elevated troponin.
02:20 - 02:24
Moreover, absolute troponin concentration increases as L.
02:24 - 02:26
V. H severity increases, which is represented in the box
02:26 - 02:29
and whisker plots now moving over to anti pro Bmp,
02:30 - 02:31
represented by the green group graphs.
02:32 - 02:34
We can observe the same findings hold true as with
02:34 - 02:34
your opponent.
02:35 - 02:39
Finally, when combining troponin and anti pro Bmp as expected,
02:39 - 02:40
increasing L.
02:40 - 02:40
V. H.
02:40 - 02:43
Results in a statistically significant increase in the fraction of
02:43 - 02:46
patients who had elevations in both biomarkers.
02:46 - 02:49
So we can conclude from this figure that elevations in
02:49 - 02:52
these biomarkers are both common and they are also correlated
02:53 - 02:53
with worsening L.
02:53 - 02:54
V. H.
02:55 - 02:57
Now I'd like to return our attention to the table.
02:58 - 03:00
This table describes each of the four adjusted cox proportional
03:01 - 03:03
hazard models that we studied in the first model.
03:04 - 03:07
We compared moderate severe LDH to know and mild L.
03:07 - 03:07
V. H.
03:08 - 03:10
We found that the five year mortality rate for moderate
03:10 - 03:13
severe LDH trended higher than with no mild L.
03:13 - 03:13
V. H.
03:14 - 03:15
With a P value of 0.059.
03:16 - 03:19
However, this effect was attenuated after adjustment as you can
03:19 - 03:21
see in model one of the table for context.
03:22 - 03:25
Partner trial data showed an independent association between increased LDH
03:25 - 03:28
and five year mortality with a similar point estimate as
03:28 - 03:28
our study.
03:29 - 03:31
But the partner trial had higher power with a sample
03:31 - 03:35
size around 4000 patients moving to model to.
03:35 - 03:36
We compared moderate severe LV.
03:37 - 03:39
H. As sub classified by biomarker elevations to know mild
03:40 - 03:40
and LDH.
03:41 - 03:41
Which serves as the reference.
03:42 - 03:44
You can see here that only when patients had both
03:45 - 03:48
moderate severe LV H and have an elevation in troponin
03:48 - 03:52
or anti pro BNP, is there a statistically significant hazard
03:52 - 03:53
of all cause death at five years?
03:54 - 03:57
1.4 fold for troponin and 1.3 fold for anti pro
03:57 - 04:01
Bmp. Since we observed a high percentage of patients with
04:01 - 04:02
no mild L.
04:02 - 04:02
V. H.
04:02 - 04:03
Having elevated biomarkers.
04:04 - 04:07
As I showed in figure one, we also asked whether
04:07 - 04:10
biomarkers could risk stratify patients with no mild LDH, which
04:11 - 04:11
is shown in Model three.
04:12 - 04:15
Here we separate the no mild and moderate severe LV.
04:15 - 04:18
H groups into those with elevated biomarkers versus those with
04:18 - 04:18
normal biomarkers.
04:19 - 04:21
And then compare them to the reference of no mild
04:21 - 04:21
L. V.
04:21 - 04:22
H. Without biomarker elevation.
04:23 - 04:26
Here we observed that even among those without significant L.
04:27 - 04:27
V. H.
04:27 - 04:29
There is an excess hazard of death on the order
04:29 - 04:33
of 1.78 fold for troponin And 1.37 fold for anti
04:33 - 04:33
pro bmp.
04:34 - 04:37
Expectedly this result holds true and the relationship is even
04:37 - 04:40
stronger among those who have both moderate severe LV.
04:40 - 04:42
H. And biomarker elevation.
04:42 - 04:45
You can see that the elevated hazard that the hazard
04:45 - 04:48
of all cause death is 2.2 for troponin elevation and
04:48 - 04:53
1.7 for anti pro BMP elevation, importantly, the deleterious effect
04:53 - 04:53
of L.
04:54 - 04:56
V. H was completely attenuated when comparing those who had
04:57 - 04:57
modern severe LV.
04:58 - 05:01
H. Without a biomarker elevation to the reference, suggesting that
05:02 - 05:03
the excess risk is captured by biomarkers.
05:05 - 05:08
Finally, model for Model four looks at the hazard of
05:09 - 05:11
all cause death among those with and without biomarker elevations.
05:12 - 05:13
When controlling for L.
05:13 - 05:13
V. H.
05:14 - 05:16
We observe that the hazard of all cause death as
05:16 - 05:21
1.94 and 1.45 for for cardiac troponin, anti pro BMP
05:22 - 05:22
elevation respectively.
05:24 - 05:27
Furthermore, there is no interaction between troponin and anti pro
05:27 - 05:31
BMP, suggesting that biomarker elevations are associated with all cause
05:31 - 05:32
death independent of L.
05:32 - 05:33
V. H.
05:33 - 05:34
And independent of each other.
05:35 - 05:37
To conclude this point, the bottom of the table says,
05:37 - 05:38
is the interaction between L.
05:38 - 05:38
V. H.
05:38 - 05:42
Severity and biomarker concentration, finding that there is no interaction
05:42 - 05:45
between these variables, suggesting again that the excess risk seen
05:46 - 05:49
in those with biomarker elevations is independent of LDH severity.
05:50 - 05:52
As you can see, there are several more figures.
05:52 - 05:53
But in the interest of time, I will not go
05:53 - 05:54
over them.
05:54 - 05:56
During this brief tour, I'm of course happy to answer
05:56 - 05:57
any questions about them during the chat.
05:59 - 06:01
So to summarize the bottom line is this, we used
06:01 - 06:05
a multi center prospective registry yielding 670 for patients with
06:05 - 06:05
severe A.
06:06 - 06:07
S. Who received Tavern.
06:07 - 06:09
We showed several key things.
06:09 - 06:11
First, the majority of subjects with severe A.
06:11 - 06:14
S. And her cohort had elevations in plasma levels of
06:14 - 06:16
cardiac troponin and anti pro BMP.
06:17 - 06:19
These elevations became more common as the amount of left
06:19 - 06:20
ventricular hypertrophy increased.
06:21 - 06:25
Second, the biomarkers cardiac troponin and anti pro Bmp were
06:25 - 06:28
able to robustly risk stratify patients with moderate severe LV.
06:29 - 06:32
H. Undergoing tavern, but also risk stratified patients with known
06:32 - 06:32
mild LVMH.
06:33 - 06:35
In other words, the presence of L.
06:35 - 06:35
V. H.
06:35 - 06:38
Did not alter the increased hazard of death conferred by
06:38 - 06:40
elevated cardiac troponin and anti pro BMP.
06:42 - 06:46
When examined together, troponin and anti pro BMP reached independently
06:46 - 06:48
associated with mortality after tavern.
06:49 - 06:49
Whereas L.
06:49 - 06:50
V. H.
06:50 - 06:52
Was not, I'll finish with a few points of discussion
06:53 - 06:56
First, the limitations one our sample size was likely too
06:57 - 06:57
small to show that L.
06:58 - 06:58
V. H.
06:58 - 07:00
Severity is related to all cause death to.
07:00 - 07:03
We did not have follow up echocardiogram phycor biomarker data
07:04 - 07:07
to assess for regression Three, we could not report rehospitalization
07:08 - 07:10
rates among each group because that data was not available
07:11 - 07:14
for our cohort was unfortunately highly biased towards white individuals
07:15 - 07:18
and five all patients in the study had symptomatic s.
07:19 - 07:22
Nevertheless, to our knowledge, this is the largest study incorporating
07:22 - 07:26
core lab red echo and centrally measured biomarker concentrations.
07:26 - 07:30
To date to conclude the increased hazard of mortality associated
07:31 - 07:33
with greater LDH observed in prior studies appears to be
07:33 - 07:35
due at least in part two more frequent and severe
07:36 - 07:39
cardiac damage and stress, rather than increased LV mass per
07:40 - 07:43
se. These findings may have important implications for risk stratification
07:44 - 07:45
and treatment of patients with S.
07:45 - 07:47
Thank you so much for joining me.
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