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Patients with transthyretin amyloid cardiomyopathy may have preserved, mildly reduced, or reduced ejection fraction

2021· article· en· W3213788244 on OpenAlexaff
Pablo García‐Pavía, Nowell M. Fine, Neil J. Weissman, Adam Castaño, Balarama Gundapaneni, Marla B. Sultan, Sanjiv J. Shah

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsUniversity of Calgary
FundersPfizer
KeywordsMedicineEjection fractionTransthyretinCardiologyInternal medicineHeart failureHeart failure with preserved ejection fractionCardiomyopathyRestrictive cardiomyopathy

Abstract

fetched live from OpenAlex

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

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)0.001
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0030.000

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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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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Citations4
Published2021
Admission routes1
Has abstractyes

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