Related Experiment Video
Updated: Jun 14, 2026

06:55
Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Real-world Sotatercept Eligibility: Analysis from the FOCUS-PAH Registry
Respiration; International Review of Thoracic Diseases
|June 12, 2026
Summary
Pulmonary arterial hypertension (PAH) trial criteria exclude many real-world patients. Even with expanded criteria, eligibility remains limited, necessitating tailored approaches for sotatercept use in PAH.
Area of Science:
- Cardiology
- Pulmonary Medicine
- Clinical Trials
Background:
- Pulmonary arterial hypertension (PAH) has poor outcomes despite current treatments.
- Sotatercept shows promise but trial criteria may restrict its real-world use.
Purpose of the Study:
- To assess real-world eligibility for sotatercept trials (STELLAR/ZENITH) at baseline and follow-up.
- To identify predictors of non-eligibility in PAH patients.
Main Methods:
- Retrospective analysis of 541 PAH patients meeting inclusion criteria (WHO FC II/III, PVR ≥5 WU, stable therapy).
- Eligibility assessed against STELLAR criteria and extended using ZENITH criteria.
- Multivariable models identified predictors of non-eligibility.
Main Results:
- 19% of patients were ineligible at baseline, primarily due to PAH subtype or vasoreactivity.
- Cumulative eligibility during follow-up was 50%, with PVR <5 WU or therapy changes being common exclusion reasons.
- Older age and triple therapy predicted non-eligibility; idiopathic PAH was protective. ZENITH criteria increased eligibility by 6%.
Conclusions:
- STELLAR trial criteria exclude a significant number of real-world PAH patients, especially during follow-up.
- ZENITH criteria offer only a modest improvement in eligibility.
- Optimized patient selection and timing are crucial for sotatercept's real-world application in PAH.
Related Concept Videos
Actuarial Approach
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...