Abstract 13403: Age-Related Echocardiographic Characteristics in Patients With Heart Failure With Preserved Ejection Fraction in PARAGON-HF
Bibliographic record
Abstract
Introduction: Heart failure with preserved ejection fraction (HFpEF) may have different characteristics by age groups. Aim Compare clinical and echocardiographic characteristics in patients with HFpEF enrolled in the PARAGON-HF echocardiography substudy by age groups. Methods: Echocardiography was performed in 1097 patients in PARAGON-HF (Prospective Comparison of ARNI with ARB Global Outcomes in HF with Preserved Ejection Fraction), where patients with left ventricular ejection fraction (LVEF) >=45% were enrolled. Clinical and echocardiographic characteristics were compared in patients who were <65, 65-74, and >75 years of age. Results: Younger patients were more likely to be male, obese, have prior myocardial infarction (MI) and diabetes, but less likely to have atrial fibrillation (AF, Table 1). Older patients had smaller left ventricular (LV) dimension indices, more likely to have concentric hypertrophy or remodeling, higher LVEF and better global longitudinal strain, and more likely to have left atrial enlargement and echocardiographic evidence of higher LV filling pressure (Table 1). Echocardiographic measures of pulmonary pressure and right ventricular function were similar across age groups. After adjusting for sex, race, region, history of MI, diabetes, AF, and body mass index, every 10 years of increase in age was associated with 5.1 mL/m 2 decrease in LV end-diastolic volume index (95% confidence interval [CI] 3.9 - 6.5, p < 0.001), 0.4% increase in absolute global longitudinal strain (95% CI 0.1% - 0.7%, p = 0.017), and 1.07 increase in E/e’ septal ratio (95% CI 0.42 - 1.73, p = 0.001). Conclusions: Compared with younger patients, older patients with HFpEF were more likely to be female with AF, have better systolic function and higher LV filling pressure. These findings demonstrated the heterogeneity in cardiac structure and function in HFpEF by age and may have implications for treatment and future clinical trial recruitment.
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".