The design and rationale of the cardiac REHABilitation to improve metabolic health in Hypertrophic CardioMyopathy (REHAB-HCM) Study
Bibliographic record
Abstract
Study objective: Hypertrophic cardiomyopathy (HCM) is the most common genetic myocardial disorder increasingly characterized by concomitant metabolic syndrome. Cardiac rehabilitation (CR) has been shown to improve metabolic parameters in populations with heart failure and myocardial infarction. However, there is a paucity of data on the impact of CR in the HCM population with metabolic syndrome. We designed the REHAB-HCM study to explore the feasibility, safety, and efficacy of CR in HCM patients with metabolic syndrome. Design: Prospective observation cohort study. Setting: A multi-disciplinary HCM clinic and Multidisciplinary Exercise-based Cardiac Rehabilitation program. Participants: Patients aged 18-80 years old diagnosed with HCM and metabolic syndrome, defined by the American Heart Association and American College of Cardiology guidelines, and the National Cholesterol Education Adult Treatment Panel III (NCEP-ATP III) criteria. Intervention: A structured 3-month CR program with 6 months extended follow-up of physical activity levels. Main outcome measures: Feasibility (e.g., attendance), safety (e.g., major adverse events and exercise-related harms), and efficacy pertaining to long term improvements in physical activity levels, metabolic health, cardiorespiratory fitness, quality of life, and systemic and cellular markers of inflammation. Conclusion: This prospective cohort study will address an important knowledge gap by evaluating the effect of an organized CR program in HCM patients and metabolic syndrome. It is anticipated that exercise and CR will be feasible and beneficial for this complex patient population without significant exercise-related harms.
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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 | 0.028 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".