Treadmill exercise in apparently asymptomatic patients with moderate or severe aortic stenosis: relationship between cardiac index and revealed symptoms
Bibliographic record
Abstract
OBJECTIVES: To test whether symptoms revealed on exercise testing in patients with moderate or severe aortic stenosis are associated with changes in left ventricular systolic function and to investigate the ability of resting measures to predict peak cardiac index. METHODS: In a prospective study of asymptomatic aortic stenosis, 38 patients with a median age of 63 years (range 29-83) and an effective aortic orifice area by the continuity equation of less than 1.5 cm(2) had echocardiography, measurement of blood B-type natriuretic peptide (BNP) level and exercise haemodynamic testing using an inert gas rebreathing device. RESULTS: Revealed symptoms occurred in 10 patients in whom peak cardiac index (p=0.002), stroke index (p=0.024) and maximum oxygen consumption (VO(2)) (p=0.003) were lower than in those without symptoms. Univariate predictors of peak cardiac index were Doppler tissue peak systolic velocity (p=0.004, r=0.45), the ratio of peak transmitral E velocity to Doppler tissue Ea velocity (p=0.039, r=-0.34) and log BNP (p<0.001, r=-0.71). The only independent predictor of peak cardiac index was the log BNP level (p<0.001, r=-0.71). CONCLUSIONS: Revealed symptoms on treadmill exercise in apparently asymptomatic aortic stenosis were associated with lower peak myocardial VO(2) and lower peak stroke index during exercise. The strongest resting predictor of revealed symptoms and of peak cardiac index was the blood BNP level.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| 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".