Abstract 14354: The Impact of Riociguat in Pulmonary Arterial Hypertension Patients With Comorbidities Included in Interventional Clinical Trials
Bibliographic record
Abstract
Background: The number of pulmonary arterial hypertension (PAH) patients with comorbidities is increasing, however, there are few published data from these patients in PAH therapy clinical trials meaning that evidence-based treatment recommendations have not been made. Aim: This post-hoc analysis of pooled riociguat clinical trial data assessed the impact of riociguat in patients with PAH and comorbidities. Methods: All interventional studies of riociguat in patients with PAH (PATENT-1, PATENT PLUS, RESPITE, MOTION, REPLACE, and the Phase II study) were included in the pooled analysis. The safety of riociguat and placebo was assessed in patients with ≥3 comorbidities vs <3 comorbidities. Safety was assessed by adverse events (AEs) and serious AEs (SAEs). Comorbidities included: age ≥65 years, body mass index ≥30 kg/m 2 , history of essential hypertension, diabetes mellitus, history of significant coronary artery disease, and atrial fibrillation. Results: The 609 patients who received riociguat and 132 patients who received placebo in the main phase clinical trials of riociguat were included in the analysis. Of these, 113 patients (19%) in the riociguat group and 21 patients (16%) in the placebo group had ≥3 comorbidities. In both treatment groups, AE rates were higher in patients with ≥3 comorbidities vs <3 comorbidities (riociguat 93% vs 86%; placebo 95% vs 84%); with most AEs being mild or moderate. Study drug-related AE rates were similar in both treatment groups and in patients with ≥3 comorbidities vs <3 comorbidities (riociguat 54% vs 56%; placebo 52% vs 52%). SAE rates were higher in riociguat-treated patients with ≥3 comorbidities vs <3 comorbidities (25% vs 12%); of these, 4% and 3% were study drug-related, respectively. In patients with ≥3 comorbidities, study drug-related SAE rates were higher in those receiving placebo vs riociguat (10% vs 4%). AE rates leading to study drug discontinuation were higher in patients with ≥3 comorbidities vs <3 comorbidities (riociguat 6% vs 4%; placebo 10% vs 6%), whereas AE rates leading to death were similar in both groups (riociguat 2% vs 1%; placebo 0% vs 4%). Conclusion: These data suggest that riociguat had an acceptable tolerability profile in PAH patients with comorbidities with most AEs being mild or moderate.
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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 | 0.014 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".