Here's a question that you might not have considered: how did the dose for #sacubitril/valsartan in #HFrEF get chosen?

Out today is a paper in @JACCJournals led by @RezaMohebiMD that addresses some questions about sac/val dose in HFrEF.

a 🧵

jacc.org/doi/epdf/10.10…
It's a little known fact that prior to the PH3 PARADIGM trial, a PH2 study in HFrEF was not performed--normally PH2 studies provide target doses for the pivotal outcomes trials.

So how was the dose of sacubitril/valsartan chosen??
The target dose of 97/103 mg twice daily was selected to achieve serum concentrations of valsartan = to those in Val-HeFT and VALIANT while simultaneously achieving 90% neprilysin inhibition in normal individuals.
Real world evidence suggests only 14% reach the target dose of 97/103 mg twice daily.

Some have asked--if you can't get to target dose, is sac/val still effective?
In the #PROVE-HF study, 794 study participants with #HFrEF (80% taking ACE/ARB at baseline) were initiated and titrated to the maximally tolerated sac/val dose.

Biomarkers and KCCQ were collected a 9 time points and an echo was performed at baseline, 6 and 12 months.
We categorized patients in the basis of their average daily sac/val dose:

Total dose across all study visits
--------------------------------------
Total days in study

We then divided study participants into three groups: high dose, medium dose, and low dose.
The 3 dose groups were an average of 112 mg daily, 342 mg daily, and 379 mg daily.

Those in low dose reached target least often (8%), while medium (94.5%) and high dose (100%) were more likely to reach or stay at target dose.

Baseline characteristics by achieved dose are shown.
Those able to get to target on sac/val were very PARADIGM-like: younger, previously on ACE/ARB, and had higher BPs.

Those on mod dose were similar to those down-titrated in PARADIGM.

Those reaching low doses were most like those who did not make it through the PARADIGM run in.
What was modestly surprising was the baseline echo data showed little differences between dosing groups.
OK, so what about changes after study initiation?

Biomarkers? Health status? Echo?

What is your expectation? Would higher dose be associated with larger improvement in each?
First, biomarkers. Attached at tables for the stable (#NTproBNP; #hscTnT; #sST2; urinary #cGMP).

Regardless of dose, patterns were very similar for each: for example NT-proBNP fell by 40%, 39% and 42% in low, medium, and high dose.
What about #ANP and #BNP?

We had previously reported that rise in ANP explained much of the reverse remodeling impact of sac/val, so one might expect a larger rise from higher doses...right?

Nope. Relative change was similar across doses.

Same for BNP.
We had reported improvement in health status (KCCQ-23) from rx with sac/val in PROVE HF: jacc.org/doi/10.1016/j.…

Was there a dose-related difference in KCCQ-23 change?

Numerically, yes. Statistically, no.

There was also no difference in a >5, 10, or 20 point rise across doses
OK, so what about the echo? Higher doses must have had larger increases in LVEF, and greater reduction in LV/LA volumes and E/E' right?

Again, reductions across all measurements were strikingly similar, despite the higher risk picture in the lower dose study participants.
These results do not contradict clinical practice guidelines: therapies should be titrated to maximally tolerated doses when possible.
If it is not possible to reach target, it is reassuring to note mechanistic benefits are still seen even at low dose!

#GDMTworks

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More from @JJheart_doc

Oct 2
Presented today as late-breaking data at #HFSA2022 and posted online @CircAHA, new data from PROVE-HF regarding impact of #sacubitril/valsartan on #mitralregurgitation in #HFrEF.

Thanks to @DukeHFDoc for presenting in my absence.

What did we find? A 🧵...
It is well-known that MR severity is an important determinant of symptoms and prognosis in those with HFrEF.

Thanks to work from @LindenfeldJoann and @GreggWStone in the COAPT trial, it is also known that repair of MR may improve outcome in HFrEF.
Based on the COAPT and MITRA-FR results, current recommendations are to "optimize" #GDMT prior to decisions on repair of MR. Why?

Thanks to the reverse remodeling effects of #GDMT, MR severity may be reduced, avoiding need for MV repair.

What is known about sac/val and MR?
Read 19 tweets
Jan 13
What happens to BNP when a person is started on #sacubitrilvalsartan?

#BNP should go up, right?

Thanks to work by @pmyhre in our group, we have some new and interesting data.

A 🧵, read on! 👇
When the #PARADIGM-HF study was published, one of the things immediately noticed was the increase in BNP that occurred after being started on sacubitril/valsartan.

This is because through effect of sacubitril, neprilysin is inhibited. Why might this lead to an increase in BNP?
#Neprilysin is a ubiquitous metalloproteinase that assaults BNP (among other targets including ANP and CNP) and cleaves it in numerous places as shown.

Note that in BNP, there are cleavage sites that involve numerous places where immunoassays for measurement of BNP may bind.
Read 17 tweets
May 18, 2021
In one month, I've diagnosed more cases of ATTR cardiomyopathy than I did in 10 years. If you don't look for it, you won't find it.

A micro-tweetorial...

What should you look for?

@HannaGaggin @frederickruberg
--unexplained mild "LVH"
--PAF that has little explanation
--spinal stenosis
--carpal tunnel
--orthostatic hypotension
--bruising
--lack of EF response to #GDMTworks
--Diuretic sensitivity
--Higher biomarkers "than they should be"
Why are biomarkers higher in amyloid? It has mainly to do with direct myocardial toxicity of the amyloid protein, and NOT congestion/ischemia in most cases.

hs-cTn is almost universally elevated.

Both NPs and hs-cTn are prognostic, regardless of their 'decoupling' from HF/MI.
Read 5 tweets
Nov 9, 2020
A tweetorial.

Here's an intriguing analysis just published in Diabetes Care by the great folks at @AmDiabetesAssn and @ADA_Journals. We examined concentrations of insulin-like growth factor binding protein-7 (IGFBP7) at BL and 1Y in the CANVAS study.

care.diabetesjournals.org/content/early/…

1/
Why IGFBP7? Good question.

Though IGFBP7 "looks like" an IGF binder, it is lousy at this job. But IGFBP7 has other roles: it is a cell cycle arrest biomarker in the 'senescence associated secretory phenotype'.

When cells are exposed to IGFBP7 in excess, fibrosis follows.

2/
We previously found IGFBP7 was associated with cardiac structural and functional abnormalities and outcome in patients with heart failure, but we were interested to see how it would act in patients with #T2D, such as those in CANVAS.

Why?

3/
Read 16 tweets
Jun 8, 2020
I just finished reading another poorly-composed position paper from a major society regarding COVID19 with recommendations based on a handful of sometimes questionable papers and have a few thoughts. 1)
The pandemic has put a terrible strain on everyone. It's been very, very difficult and very frightening. What some institutions went through will leave them scarred for years to come. All of this has left people hungry for high quality science informing treatment decisions. 2)
The desire for rapid data is understandable. But there's a dark side that many of us have observed: authors have rushed papers to publication that on any non-pandemic day would have been desk rejects, but in the current environment have been published in major/top journals. 3)
Read 7 tweets
Jan 11, 2019
Breaking habits in medicine can be hard. Case in point: "trending troponin to peak" in patients with MI. Why is this done? Is it useful? You might be surprised at the answer. 1/ @NinoNJ @CianPMcCarthy @MGHMedicine @MGHHMU @MGHHeartHealth @chapdoc1 @HighSTEACS @troponinpapers
2/Why "trend troponin to peak" anyhow? Most do it to "size" the infarct; specifically, the concept is that the amount of troponin efflux from necrotic tissue is proportional to the size of the infarct.

But is this true? Is it accurate?
3/In a very nice review (karger.com/Article/Fullte…) Hallen makes the important point that infarct size and troponin kinetics ARE modestly correlated (r values of 0.5-0.75), BUT best data are with STEMI. We don't need troponins to diagnose or estimate infarct size in STEMI.
Read 8 tweets

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