Abstract 17587: Implications of Angina Pectoris on Quality of Life, Functional Capacity and Clinical Outcomes in Chronic Heart Failure Patients: Insights From HF-ACTION
Bibliographic record
Abstract
Background: Angina pectoris (AP) is associated with worse outcomes in heart failure (HF) patients, but less is known about implications on health related quality of life (HRQoL) and functional capacity. Methods: We assessed HRQoL, functional capacity and outcomes in chronic HF patients with reduced EF in the HF-ACTION trial of usual care +/- exercise training based on whether patients had AP. AP was patient-reported based on recent symptoms or development during exercise testing. We assessed all-cause mortality/hospitalization in patients with AP vs. no AP using multivariable Cox proportional hazards regression. We assessed for an interaction between AP status and exercise training with respect to outcomes and the change in quality of life and functional capacity from baseline to 3 months. Results: In HF-ACTION, 406 (17%) patients had AP at baseline with 44% of these reporting ≥ class II symptoms. Patients with AP more often had ischemic etiology, but had similar EF, NT-proBNP and beta-blocker use. Baseline 6-minute walk distance and peak VO 2 were similar in both groups, but patients with AP had worse depressive symptoms and HRQoL. After risk adjustment, AP was associated with a 22% greater risk of all-cause mortality/hospitalization (Figure). There was evidence of an interaction between baseline AP and exercise training on change in peak VO 2 (P=0.019), but not for HRQoL or clinical outcomes. The median change in peak VO 2 with exercise training was 0.8 mL/kg/min with AP vs. 0.6 mL/kg/min without AP. Conclusion: AP was associated with worse HRQoL and more depressive symptoms. Despite a greater improvement in peak VO 2 with exercise training, patients with AP experienced more adverse events. Clinicians should consider routine assessment and management of AP in HF patients as well as the associated symptoms related to depression and implications on quality of life.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".