Frailty and Effects of Semaglutide in Obesity-Related HFpEF
Bibliographic record
Abstract
BACKGROUND: Frailty is common in heart failure with preserved ejection fraction (HFpEF). In the STEP-HFpEF (Research Study to Investigate How Well Semaglutide Works in People Living With Heart Failure and Obesity) program, semaglutide improved heart failure (HF) symptoms and physical limitations and reduced body weight (BW) in participants with obesity-related HFpEF. Whether the efficacy and safety of semaglutide vary by frailty and the effects of semaglutide on frailty are unknown. OBJECTIVES: This study sought to evaluate the efficacy of semaglutide in participants with obesity-related HFpEF according to frailty status at baseline. METHODS: The authors performed a prespecified, pooled, participant-level analysis of the STEP-HFpEF program that included participants with obesity-related HFpEF. Participants were randomized to once-weekly semaglutide, 2.4 mg, or placebo for 52 weeks. Dual primary endpoints were changes in Kansas City Cardiomyopathy Questionnaire-Clinical Summary Score (KCCQ-CSS) and BW. Frailty was estimated using a cumulative deficit-derived frailty index comprising 34 variables across multiple domains at baseline and follow-up. Efficacy and safety of semaglutide were evaluated in participants across 3 baseline frailty strata. Effects of semaglutide on frailty burden were also assessed. RESULTS: < 0.001). Semaglutide reduced the burden of frailty during follow-up (OR for being nonfrail at 52 weeks: 3.16 [95% CI: 2.44-4.09]; P < 0.0001). CONCLUSIONS: Semaglutide resulted in a similar reduction in BW across frailty subgroups but greater improvements in HF-related symptoms. Moreover, semaglutide reduced frailty burden after 52 weeks of treatment. (Research Study to Investigate How Well Semaglutide Works in People Living With Heart Failure and Obesity [STEP-HFpEF]; NCT04788511) (Research Study to Look at How Well Semaglutide Works in People Living With Heart Failure, Obesity and Type 2 Diabetes [STEP-HFpEF DM]; NCT04916470).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".