Patients with transthyretin amyloid cardiomyopathy may have preserved, mildly reduced, or reduced ejection fraction
Bibliographic record
Abstract
Abstract Background Transthyretin amyloid cardiomyopathy (ATTR-CM) is an often-overlooked form of heart failure with preserved ejection fraction (HFpEF). Previous studies have demonstrated that relatively high proportions of older patients with HFpEF have underlying ATTR-CM. However, while ATTR-CM should not be overlooked as a cause of HFpEF, it also should not be assumed that all patients with ATTR-CM present with HFpEF. Purpose To categorise patients with ATTR-CM from a large clinical trial by left ventricular ejection fraction (LVEF) at enrolment in order to describe the prevalence of HFpEF, HF with mildly reduced EF (HFmrEF), and HF with reduced EF (HFrEF). Methods The Tafamidis in Transthyretin Cardiomyopathy Clinical Trial (ATTR-ACT) enrolled 441 patients with ATTR-CM, including both hereditary (ATTRv) and wild-type (ATTRwt) patients. In ATTR-ACT, all patients underwent echocardiography at enrolment using a standardised protocol, and all images were reviewed and analysed at an independent central laboratory. In this analysis of patient data at enrolment, all patients in ATTR-ACT were categorised by LVEF as: HFpEF (LVEF ≥50%), HFmrEF (LVEF 41–49%), or HFrEF (LVEF ≤40%). The proportions of patients in these LVEF categories in the sub-groups of race, sex, genotype, and disease severity (by NYHA class) were assessed, together with myocardial contraction fraction (MCF) in each category. Results In ATTR-ACT, there were 220 (50.5%) patients with HFpEF, 119 (27.3%) with HFmrEF, and 97 (22.3%) with HFrEF (Table). Five subjects with missing LVEF at enrolment were not categorized. Asian patients had the highest proportion with HFpEF, followed by White, then Black patients. The ATTRwt group had a higher proportion of patients with HFpEF than the ATTRv group. There were significant differences (as assessed by Chi-square test; P=0.0001) in the proportion of patients in each EF category between NYHA class I or II and NYHA class III patients. Median MCF was higher in NYHA class I/II (16.6%) than NYHA class III (14.8%) patients, and higher in patients with HFpEF compared with HFmrEF and HFrEF. Conclusions Not all patients with ATTR-CM have HFpEF. In this analysis of patients at enrolment in ATTR-ACT half had mildly reduced or reduced LVEF, with even higher proportions of reduced EF observed in Black patients, ATTRv patients, and patients with worse functional class (NYHA class III). These data demonstrate that ATTR-CM should be considered as a possible diagnosis in all patients with HF regardless of EF. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Pfizer Table 1
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".