Long-Term Treatment With Oral Sildenafil Is Safe and Improves Functional Capacity and Hemodynamics in Patients With Pulmonary Arterial Hypertension
Bibliographic record
Abstract
BACKGROUND: The prognosis and functional capacity of patients with pulmonary arterial hypertension (PAH) is poor, and there is a need for safe, effective, inexpensive oral treatments. A single dose of sildenafil, an oral phosphodiesterase type-5 (PD-5) inhibitor, is an effective and selective pulmonary vasodilator in PAH. However, the long-term effects of PD-5 inhibition and its mechanism of action in human pulmonary arteries (PAs) are unknown. METHODS AND RESULTS: We hypothesized that 3 months of sildenafil (50 mg orally every 8 hours) added to standard treatment would be safe and improve functional capacity and hemodynamics in PAH patients. We studied 5 consecutive patients (4 with primary pulmonary hypertension, 1 with Eisenmenger's syndrome; New York Heart Association class II to III). Functional class improved by > or =1 class in all patients. Pretreatment versus posttreatment values (mean+/-SEM) were as follows: 6-minute walk, 376+/-30 versus 504+/-27 m, P<0.0001; mean PA pressure, 70+/-3 versus 52+/-3 mm Hg, P<0.007; pulmonary vascular resistance index 1702+/-151 versus 996+/-92 dyne x s x cm(-5) x m(-2), P<0.006. The systemic arterial pressure was unchanged, and no adverse effects occurred. Sildenafil also reduced right ventricular mass measured by MRI. In 7 human PAs (6 cardiac transplant donors and 1 patient with PAH on autopsy), we showed that PD-5 is present in PA smooth muscle cells and that sildenafil causes relaxation by activating large-conductance, calcium-activated potassium channels. CONCLUSIONS: This small pilot study suggests that long-term sildenafil therapy might be a safe and effective treatment for PAH. At a monthly cost of 492 dollars Canadian, sildenafil is more affordable than most approved PAH therapies. A large multicenter trial is indicated to directly compare sildenafil with existing PAH treatments.
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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) | 0.001 | 0.000 |
| 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 | 0.000 | 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".