Alteration of Time Intervals in Patients With Hypertrophic Cardiomyopathy During an Exercise Echocardiography
Bibliographic record
Abstract
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is often associated with diastolic dysfunction. Theoretically, a more marked alteration of diastolic function is revealed during exercise. METHODS AND RESULTS: We studied 84 persons: 1) 25 patients with HCM, 2) 25 patients with essential arterial hypertension (AH) and 3) 34 healthy controls. Each person performed a treadmill echocardiography. Before and after work, the following parameters were measured: the time interval between the QRS complex and the onset of mitral early diastolic filling velocity (TE), the interval between the QRS complex and the onset of peak early tissue mitral annular velocity (Te'), the isovolumetric relaxation time over the difference of TE and Te' ratio (IVRT/(TE-Te')), and changes of the time parameters during the stress test. In comparison with hypertensive and control groups, HCM patients at rest showed a significantly longer TE (448 ± 55 vs. 423 ± 33 vs. 417 ± 24 ms, P < 0.04) and Te' (446 ± 48 vs. 403 ± 44 vs. 416 ± 38 ms, P < 0.003). After stress the HCM group had a longer Te' (355 ± 59 vs. 299 ± 40 vs. 292 ± 30 ms, P < 0.000004) and a higher IVRT/(TE-Te') ratio (3.1 ± 1.5 vs. 0.9 ± 2.4 vs. 1.7 ± 1.2, P < 0.002). CONCLUSIONS: HCM patients show an alteration in the time parameters not only compared to healthy persons but to hypertensive patients as well.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".