Effects of Left Ventricular Wall Motion Abnormality on Global and Regional Diastolic Function of the Left and Right Ventricles at Rest and After Stress
Bibliographic record
Abstract
BACKGROUND: Diastolic dysfunction precedes systolic dysfunction in patients with coronary artery disease. The aim of the study was to evaluate the effects of left ventricular (LV) wall motion abnormality (WMA) on diastolic LV and right ventricular (RV) function at rest and after stress. METHODS: Fifty-nine subjects, 15 with LV-WMA (abnormal group) and 44 without (normal group), underwent dobutamine stress echocardiography (DSE) studies, in addition to evaluation of LV and RV diastolic function before and after DSE. RESULTS: Resting mitral flow parameters were similar. DSE increased peak A-wave velocities in both groups, and mitral color slope only in normal subjects. After DSE, E-wave peak velocities and mitral color slope were higher in normal subjects, P < 0.05. At rest and after DSE systolic and diastolic pulmonary vein velocities were similar in both groups; however, DSE increased these velocities only in normal subjects, P < 0.05. Regional E-wave peak velocities of LV were higher at rest in normal subjects, P < 0.05. Both LV and RV, regional peak E-wave velocities were not affected by DSE. After DSE, regional A-wave peak velocities increased in all (P < 0.01), except at the lateral region (P = 0.07). DSE increased trans-tricuspid velocities in both groups, P < 0.05. Resting A-wave velocities were higher in normal subjects, P < 0.01. CONCLUSIONS: Global LV early diastolic filling parameters were not affected by LV-WMA at rest. LV-WMA blunted the response after stress. RV E-wave velocities increased after DSE, and were not affected by LV-WMA. LV-WMA reduced regional LV-E' velocities at rest but not the reserve. A-wave velocities were not affected by WMA and increased after DSE.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".