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Record W4410497234 · doi:10.1016/j.jacc.2025.03.542

Early Increase in Serum Transthyretin by Acoramidis Independently Predicts Improved Survival in TTR Amyloid Cardiomyopathy

2025· article· en· W4410497234 on OpenAlexaff
Mathew S. Maurer, Daniel P. Judge, Julian D. Gillmore, Pablo García‐Pavía, Ahmad Masri, Francesco Cappelli, Kevin Alexander, Nitasha Sarswat, Martha Grogan, Amrut V. Ambardekar, Anique Ducharme, Steen Hvitfeldt Poulsen, Kaitlyn Lam, Laura Obici, Prem Soman, Satish Rao, Jean‐François Tamby, Adam Castaño, Jonathan C. Fox, Brian Adam, Surendhar Reddy Chepyala, Bill Poland, Uma Sinha

Bibliographic record

VenueJournal of the American College of Cardiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsTransthyretinMedicineInternal medicineCardiomyopathyAmyloid (mycology)CardiologyOncologyPathologyHeart failure

Abstract

fetched live from OpenAlex

BACKGROUND: Acoramidis is a novel, high-affinity stabilizer that achieves ≥90% transthyretin (TTR) stabilization. The phase 3 study, ATTRibute-CM (Efficacy and Safety of AG10 in Subjects With Transthyretin Amyloid Cardiomyopathy), met its primary hierarchical efficacy endpoint with mortality, morbidity, and functional components at 30 months. Stabilization of TTR (prealbumin) by acoramidis results in an immediate and sustained rise in serum transthyretin (sTTR) levels, but the association between this pharmacodynamic effect and all-cause mortality (ACM) has not been elucidated. OBJECTIVES: The purpose of this study was to assess the prognostic implication of acoramidis-mediated early change in sTTR and its relationship to ACM. METHODS: We evaluated sTTR levels in 557 participants with ATTR-CM from the ATTRibute-CM study population. For the Kaplan-Meier overall survival assessment, univariate and multivariate modeling were used to evaluate factors associated with ACM. Modeling and simulation analyses described acoramidis population pharmacokinetics. RESULTS: Treatment with acoramidis resulted in a sharp and significant early rise in sTTR levels (mean 9.1 mg/dL) within 28 days which was sustained throughout the 30-month treatment period. Participants with ≥20 mg/dL sTTR at baseline had significantly (P < 0.0001) greater overall survival probability than those with <20 mg/dL. An early increase in sTTR levels on day 28 of dosing (early ΔTTR) was associated with reduced ACM in univariate analysis (HR: 0.96 per 1 mg/dL increase in early ΔTTR; 95% CI: 0.93-0.98; P = 0.002). In the multivariate analysis, after adjusting for TTR variant status, baseline New York Heart Association functional class, baseline National Amyloidosis Centre stage, and baseline sTTR level, early ΔTTR remained independently associated with reduced ACM (P < 0.001). Bootstrap mediation analyses showed that early ΔTTR fully mediates the effect of acoramidis treatment on ACM probability (average causal mediation effect = -0.117; P = 0.002; average direct effect = 0.0366; P = 0.448). Logistic modeling demonstrated that among participants treated with acoramidis, early ΔTTR was associated with reduced ACM, whereas no such association was observed in participants treated with placebo. For every 5 mg/dL increase in sTTR levels, a logistic model predicted a 31.6% relative reduction in odds of ACM. CONCLUSIONS: Acoramidis-mediated early ΔTTR is independently associated with improved survival after adjusting for known predictors. This provides strong evidence for a direct association between a prompt and sustained increase in sTTR upon initiation of treatment with acoramidis and survival. Early changes in sTTR could be used as a marker of the degree of TTR stabilization. (Efficacy and Safety of AG10 in Subjects With Transthyretin Amyloid Cardiomyopathy [ATTRibute-CM]; NCT03860935).

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)0.001
metaresearch head score (Gemma)0.002
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.005
GPT teacher head0.237
Teacher spread0.233 · 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".

Quick stats

Citations34
Published2025
Admission routes1
Has abstractyes

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