Association between comorbidities and the effects of exercise training among patients with heart failure with preserved ejection fraction
Bibliographic record
Abstract
Abstract Background Patients with heart failure with preserved ejection fraction (HFpEF) often have multiple cardiac and/or non-cardiac comorbidities that may contribute to exercise intolerance, the hallmark symptom in HFpEF. Exercise training is one of the most effective treatments to improve exercise tolerance but it is unclear whether individual comorbidities or the comorbidity burden are associated with altered exercise training effects in HFpEF. Purpose To evaluate the association between baseline comorbidities and the change in peak oxygen consumption (VO2) in patients with HFpEF. Methods This is a pooled analysis of the two largest randomized controlled exercise training trials performed in HFpEF to date. In the OptimEx-Clin trial, 180 patients were randomized (1:1:1) to 12 months of high-intensity interval training (3× per week), moderate continuous training (5× per week) or usual care (UC). In the Ex-DHF trial, 322 patients were randomized (1:1) to 12 months of endurance and resistance training (3× per week) or UC. For the present analysis, all exercise training groups and both UC groups were combined into one exercise and one UC group. Peak V̇O2 was defined as the highest 30-sec average during symptom-limited incremental cardiopulmonary exercise testing. Comorbidity burden was evaluated by a simple score assigning 1 point to each assessed comorbidity (arterial hypertension, hyperlipidaemia, obesity, coronary heart disease, atrial fibrillation, diabetes mellitus, chronic kidney disease, cancer, anaemia, sleep apnoea, cerebrovascular disease, depression, chronic obstructive pulmonary disease, primary valve disease, peripheral vascular disease, congenital heart disease). The associations between baseline comorbidities and change in peak VO2 after 12 months were analysed using linear regression analyses adjusted for sex, age at inclusion and baseline peak VO2. All analyses were performed using R Statistical Software with significant levels of α=0.05. Results A total of 400 patients with available peak VO2 measurements at baseline and 12 months (60.7% women; mean age: 70 years; median no. of comorbidities: 4 [range: 0-10; IQR: 2-5]) were included in this analysis. Change in peak VO2 at 12 months was significantly higher following exercise training vs. UC (mean difference, 1.22 mL/kg/min [95% CI, 0.58-1.86], P<0.001). There was no significant interaction between any of the investigated comorbidities and treatment group for the change in peak VO2 (Figure 1). Comorbidity burden was also not significantly associated with the change in peak VO2 (P-interaction = 0.99) with mean between-group differences of 1.26 mL/kg/min (95%CI, -0.25-2.77) for ≤2 comorbidities, 1.37 mL/kg/min (95%CI, 0.44-2.31) for 3-4 comorbidities and 1.27 mL/kg/min (95%CI, 0.19-2.36) for ≥5 comorbidities. Conclusions In patients with HFpEF, exercise training significantly improved peak VO2 over 12 months, regardless of individual comorbidities and overall comorbidity burden.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".