Angiotensin Receptor Blockade and Exercise Capacity in Adults With Systemic Right Ventricles
Bibliographic record
Abstract
BACKGROUND: Pharmacological blockade of the renin-angiotensin system improves exercise tolerance in patients with left ventricular dysfunction, yet its impact on patients with systemic right ventricles (RVs) remains unknown. METHODS AND RESULTS: A multicenter, randomized, double-blind, placebo-controlled, crossover clinical trial was performed to assess the effects of losartan on exercise capacity and neurohormonal levels in patients with systemic RVs. Of 29 patients studied (age, 30.3+/-10.9 years), 21 had transposition of the great arteries with a Mustard baffle, and 8 had congenitally corrected transposition of the great arteries. Baseline values were as follows: VO2max, 29.8+/-5.6 mL.kg(-1).min(-1) (73.5+/-12.9% predicted value); RV ejection fraction, 41.6+/-9.3%; N-terminal pro brain natriuretic peptide (NT-proBNP), 257.7+/-243.4 pg/mL (normal <125 pg/mL); and angiotensin II, 5.7+/-4.9 pg/mL (normal <5.0 pg/mL). Comparing losartan to placebo showed no differences in VO2max (29.9+/-5.4 versus 29.4+/-6.2 mL.kg(-1).min(-1); P=0.43), exercise duration (632.3+/-123.0 versus 629.9+/-140.7 seconds; P=0.76), and NT-proBNP levels (201.2+/-267.8 versus 229.7+/-291.5 pg/mL; P=0.10), despite a trend toward increased angiotensin II levels (15.2+/-13.8 versus 8.8+/-12.5 pg/mL; P=0.08). CONCLUSIONS: In adults with systemic RVs, losartan did not improve exercise capacity or reduce NT-proBNP levels. Minimal baseline activation of the renin-angiotensin system may explain this lack of benefit and imply an alternative pathophysiological mechanism for the progressive ventricular dysfunction and impaired exercise capacity observed in such patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".