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Effect of mavacamten on left ventricular myocardial volume, strain and tissue characteristics in patients with hypertrophic cardiomyopathy

2025· article· en· W7127924402 on OpenAlexaff
J J Tse, Sahar Sajjad, K Aspinall, Steven Dykstra, F Hasanzadeh, Jacqueline Flewitt, T A Beckie, Stéphanie Corriveau, G Peters, A G Howarth, C P Lydell, R J H Miller, L Kolman, Dina Labib, J A White

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsBristol-Myers Squibb (Canada)Libin Cardiovascular Institute of Alberta
Fundersnot available
KeywordsHypertrophic cardiomyopathyMagnetic resonance imagingVentricular outflow tractEjection fractionCardiac magnetic resonance imagingStroke volumeCardiomyopathyExtracellular matrixVentricular remodeling

Abstract

fetched live from OpenAlex

Abstract Background Cardiac myosin inhibition therapy delivers pharmacologically-mediated reductions in left ventricular (LV) outflow tract obstruction that can improve clinical symptoms in patients with obstructive hypertrophic cardiomyopathy (HCM). While clinical trials of these novel therapeutics have suggested favourable cardiac remodeling [1,2], phenotypic alterations are yet to be studied in real world populations. Purpose We aimed to explore serial changes in cardiac magnetic resonance (CMR) imaging parameters of LV remodelling in patients with obstructive HCM (oHCM) completing 1-year of therapy using mavacamten. Methods 15 consecutive patients with oHCM initiated on mavacamten were recruited. All patients had CMR imaging performed prior to mavacamten initiation and completed repeat imaging at 1-year. CMR imaging was inclusive of cine, late gadolinium enhancement (LGE), and T1 mapping. Image analysis was performed using commercial software. Extracellular volume (ECV) fraction from T1 mapping was used to derive the cellular and matrix volume components of the LV myocardial mass using the equations: body surface area (BSA)-indexed cell volume = BSA-indexed LV mass * (1-ECV); BSA-indexed matrix volume = BSA-indexed LV mass * ECV. Left ventricular outflow tract (LVOT) gradients were measured by echocardiography and reported as the maximum resting or provoked gradient measured in each study. Results The study cohort had a mean age of 63.6±14.2 years (7 male, 8 female). Changes in imaging parameters from baseline CMR (median 2.4 years prior to initiation) to 1-year follow up are shown in Figure 1. LVOT gradients dropped by a mean of 74 mmHg, accompanied by reductions in both the LV ejection fraction [LVEF; absolute reduction 7.4% (p<0.001)], and right ventricular EF [RVEF; absolute reduction 8.7% (p<0.001)]. The indexed LV mass dropped by a mean of 21% (relative reduction; p=0.007), this dominantly related to regression of the intra-cellular component (mean relative reduction 16%; p=0.009). No significant changes in the matrix mass component (p=0.13) or ECV (p=0.052) were observed. Peak LV strain amplitudes were stable between the two timepoints (p=ns). CMR imaging changes for a representative patient are shown in Figure 2. Conclusions To date, this is the first real world clinical study demonstrating the effect of cardiac myosin inhibition therapy on cellular and matrix components of the hypertrophied myocardium in patients with HCM. Significant regression of LV hypertrophy was attributed to a reduction of the cellular mass component with stable markers of matrix volume. These findings offer real world evidence for reverse remodelling in HCM from myosin inhibition therapy through the regression of cellular hypertrophy. Larger scale real world cohort studies are warranted to validate these findings.Figure 1 Figure 2

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.241
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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