Genotype-Positive Status in Patients With Hypertrophic Cardiomyopathy Is Associated With Higher Rates of Heart Failure Events
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to clarify the relationship between genotype status and major cardiovascular outcomes in a large cohort of patients with hypertrophic cardiomyopathy. METHODS AND RESULTS: Genetic testing was performed in 558 consecutive proband patients with hypertrophic cardiomyopathy. Baseline and follow-up (mean follow-up 6.3 years) clinical and echocardiographic data were obtained. Pathogenic mutations were identified in 198 (35.4%) patients. Genotype-positive patients were more likely to be women (44% versus 30%; P=0.001), younger (39 versus 48 years; P<0.001), and have a family history of hypertrophic cardiomyopathy (53% versus 20%; P<0.001), as well as family history of sudden cardiac death (17% versus 7%; P=0.002). There were no significant differences in the rates of atrial fibrillation, stroke, or septal reduction procedures. Multivariable analysis demonstrated that genotype-positive status was an independent risk factor for the development of combined heart failure end points (decline in left ventricular ejection fraction to <50%, New York Heart Association III or IV in the absence of obstruction, heart failure-related hospital admission, transplantation, and heart failure-related death; hazards ratio, 4.51; confidence interval, 2.09-9.31; P<0.001). No difference was seen in heart failure events between the myosin heavy chain and myosin-binding protein C genotype-positive patients. CONCLUSIONS: The presence of a pathogenic sarcomere mutation in patients with hypertrophic cardiomyopathy was associated with an increase in heart failure events, with no differences in event rates seen between myosin heavy chain and myosin-binding protein C genotype-positive patients. The presence of a disease-causing mutation seems more clinically relevant than the specific mutation itself.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".