Clinical Phenotype and Prognosis of Real-World Patients with Wild-Type Transthyretin Amyloid Cardiomyopathy Treated with Tafamidis
Bibliographic record
Abstract
AIMS: Tafamidis reshaped the treatment paradigm in transthyretin amyloid cardiomyopathy (ATTR-CM) based on a phase-3 randomized controlled trial, but real-world data on its use remain limited. This study aimed to assess in a large, contemporary, real-world cohort of patients with wild-type ATTR-CM (ATTRwt-CM) (i) the clinical phenotype of patients receiving tafamidis, and (ii) the association of tafamidis with survival using propensity-matched observational data. METHODS AND RESULTS: Data of patients diagnosed with ATTRwt-CM (January 2017 to June 2023) from 19 Italian centres were analysed. A propensity score (PS) reflecting the likelihood of being treated with tafamidis for each patient was determined using four variables that were significantly different among the two groups: age, New York Heart Association (NYHA) class, National Amyloidosis Centre (NAC) stage and mineralocorticoid receptor antagonists (MRAs). The primary outcome was all-cause mortality. The study comprised 1556 ATTRwt-CM patients: 965 (62%) patients initiated on tafamidis by June 2023 and 591 (38%) patients never treated with disease-modifying therapy. Tafamidis-treated patients were older, exhibited a lower NYHA class and NAC stage, and were more often treated with MRAs compared to untreated patients. The PS-matched cohort comprised 426 patients treated with tafamidis and 426 PS-matched untreated patients (mean age 78.9 ± 5.0 years, 88.3% men, 12.9% in NYHA class III). Adequacy of matching was verified (standardized differences: <0.20 between groups). Over 25 months (interquartile range: 15-40), treatment with tafamidis was associated with lower rates of all-cause mortality (hazard ratio 0.55, 95% confidence interval 0.39-0.77, p = 0.001) across the spectrum of NAC disease stages (p-interaction = 0.94). CONCLUSIONS: In this large, contemporary, real-world cohort of patients with ATTRwt-CM, predominantly in NYHA class I or II, treatment with tafamidis was consistently associated with a significantly lower risk of all-cause mortality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".