Abstract 4364886: The Association Between Tricuspid Regurgitation And Clinical Outcomes In Patients With Cardiac Amyloidosis
Bibliographic record
Abstract
Background: Cardiac amyloidosis (CA) is a progressive infiltrative cardiomyopathy associated with poor prognosis. CA is commonly due to transthyretin (ATTR) or light chain (AL) amyloid deposition. Tricuspid regurgitation (TR) is a common echocardiographic finding in CA; however, its prognostic relevance remains unclear. We aimed to evaluate the association between TR severity and clinical outcomes in patients with CA. Methods: We conducted a retrospective cohort study of adults with CA referred to a specialized Cardiac Amyloidosis Clinic between January 2014-April 2024. TR severity was assessed by transthoracic echocardiography completed within 6 months of CA diagnosis and categorized as less-than-moderate versus moderate or greater. Multivariable Cox proportional hazards models were used to evaluate the association between TR severity and survival, adjusting for baseline characteristics including age, New York Heart Association (NYHA) class, estimated glomerular filtration rate (eGFR), natriuretic peptide levels (BNP or NT-proBNP), and disease stage. Results: Among 416 patients (mean age 64.8 years, 27% AL subtype), ≥moderateTR was present in 69 (16.6%). Compared to those In adjusted Cox models, TR remained independently associated with mortality in the overall cohort (hazard ratio (HR) 1.84, P<0.0001), ATTR subgroup (HR 1.77, P = 0.0023), and AL subgroup (HR 2.18, P <0.0001). Conclusion: ≥moderateTR is independently associated with worse survival in patients with CA, regardless of amyloid subtype. These findings support routine TR severity assessment for risk stratification and to identify individuals who may benefit from closer follow-up or tailored interventions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".