Non-invasive indices of right ventricular function are markers of ventricular-arterial coupling rather than ventricular contractility: insights from a porcine model of chronic pressure overload
Bibliographic record
Abstract
AIMS: To investigate the physiological correlates of indices of RV function in a model of chronic pressure overload. METHODS AND RESULTS: Chronic pulmonary hypertension (PH) was induced in piglets by ligation of the left pulmonary artery (PA) followed by weekly embolization of right lower lobe arteries for 5 weeks (the PH group, n = 11). These animals were compared with sham-operated animals (controls, n = 6). At 6 weeks, a subgroup of five PH pigs underwent surgical reperfusion of the left lung and four others were followed until 12 weeks without treatment. Right ventricular function was assessed using echocardiography and conductance catheter measurements. At 6 weeks, mean PA pressure was higher in PH group compared with controls (35 ± 9 vs. 14 ± 2 mmHg, P < 0.01). Although RV elastance (Ees) increased at 6 weeks in the PH group (0.55 ± 0.09 vs. 0.38 ± 0.05 mmHg/mL, P < 0.001), ventricular-arterial coupling measured by the ratio of Ees on PA elastance (Ea) was decreased (0.68 ± 0.17 vs. 1.18 ± 0.18, P < 0.001). There was a strong direct relationship between Ees/Ea and indices of RV function, while relationship between Ees and indices of RV function was moderate. Changes in indices of RV function with time and after left lung reperfusion were associated with changes in Ees/Ea. CONCLUSION: Usual indices of RV function are associated with ventricular-arterial coupling rather than with ventricular contractility in a model of chronic pressure overload.
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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 | 0.000 |
| 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 | 0.001 |
| 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".