Assessing Cardiovascular Health in Paediatric Hypertrophic Cardiomyopathy Using the CANHEART Health Index
Bibliographic record
Abstract
Background Paediatric hypertrophic cardiomyopathy (HCM) is associated with sudden cardiac death, often resulting in restriction of strenuous physical activity. High levels of inactivity and a rise in youth obesity may increase risk of poor cardiovascular (CV) health in these patients. We aim to compare the CV disease risk profile of paediatric patients with HCM to Canadian youth. Methods Patients with HCM (10-19 years) were recruited from 10 paediatric cardiac centres in Canada. The CV disease risk profile was determined using the Healthy Hearts School Program questionnaire and Cardiovascular Health in Ambulatory Care Research Team (CANHEART) health index. Poisson regressions were used to assess associations between the CV disease risk profile of paediatric patients with HCM and the overall CANHEART health score. Results A total of 56 subjects were enrolled (71% male, median age: 15.5 years [interquartile range: 13.8-16.8], median body mass index: 23.3 [interquartile range: 19.5-27.7]). Results of the CANHEART health index revealed that 89% of participants with HCM never tried smoking, 52% had a healthy body mass index, 39% consumed ≥5 fruits/vegetables per day, and 50% engaged in ≥60 minutes of walking or 20 minutes of running/jogging per day. When CANHEART intermediate and poor health index scores were combined, similar proportions were obtained for each group (HCM 82.1% vs Canadian youth 83.4%; P = 0.724). Conclusions Many paediatric patients with HCM in Canada have intermediate or poor CV health as determined by the CANHEART health score, with high rates of obesity and low physical activity levels driving these trends. Interventions should be developed to promote positive CV health behaviours among patients with HCM.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".