Sotatercept Improves Small Airway Disease and Hyperinflation in Patients with Pulmonary Hypertension
Bibliographic record
Abstract
Rationale: Small airways disease (SAD) and hyperinflation are common in precapillary pulmonary hypertension (PH). Activin signaling plays an important role in airway and bronchial function. Objective: To determine whether treatment with sotatercept, an activin signaling inhibitor, for severe precapillary PH is associated with improvements in physiologic markers of SAD and hyperinflation. Methods: We conducted a single-center, retrospective cohort study of participants who received sotatercept for the treatment of severe precapillary PH despite background PH treatments who also had pulmonary function tests (PFT) before and after initiation of sotatercept treatment. Measurements and Main Results: (IQR 23.6-31.4). All participants were functional class III or IV. Follow-up PFTs obtained a median of 4.4 months after sotatercept initiation showed significant improvements: FEV1 +155 mL (11%, 95% confidence interval [CI], 100-215 mL; p<0.001), FVC +180 mL (10%, 95% CI, 125-245 mL; p<0.001), FEF25-75% +0.15 L/sec (16%, 95% CI, 0.03-0.28 L/sec; p=0.015), DLCO +0.79 mL/min/mmHg (10%, 95% CI, 0.30-1.25 mL/min/mmHg; p<0.01). In participants with paired lung volume measurements (n=22), RV decreased 210 mL (12%, 95% CI, -340 to -85 mL; p<0.01), RV/TLC decreased 5% (95% CI, -7% to -3%; p<0.001), and ERV increased 175 mL (29%, 95% CI, 50-385 mL; p=0.02). There was no overall change in TLC or FRC. Conclusions: In a real-world cohort of patients with severe precapillary PH from a variety of causes, sotatercept was associated with improvements in markers of SAD and hyperinflation.
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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 | 0.000 |
| 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) | 0.002 | 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".