Enrichment Benefits of Risk Algorithms for Pulmonary Arterial Hypertension Clinical Trials.

Autor: Scott JV; Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania.; Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland; and., Garnett CE; Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland; and., Kanwar MK; Cardiovascular Institute, Allegheny Health Network, Pittsburgh, Pennsylvania., Stockbridge NL; Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland; and., Benza RL; Cardiovascular Institute, Allegheny Health Network, Pittsburgh, Pennsylvania.
Jazyk: angličtina
Zdroj: American journal of respiratory and critical care medicine [Am J Respir Crit Care Med] 2021 Mar 15; Vol. 203 (6), pp. 726-736.
DOI: 10.1164/rccm.202002-0357OC
Abstrakt: Rationale: Event-driven primary endpoints are increasingly used in pulmonary arterial hypertension clinical trials, substantially increasing required sample sizes and trial lengths. The U.S. Food and Drug Administration advocates the use of prognostic enrichment of clinical trials by preselecting a patient population with increased likelihood of experiencing the trial's primary endpoint. Objectives: This study compares validated clinical scales of risk (Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension, the French score, and Registry to Evaluate Early and Long-Term Pulmonary Arterial Hypertension Disease Management [REVEAL] 2.0) to identify patients who are likely to experience a clinical worsening event for trial enrichment. Methods: Baseline data from three pulmonary arterial hypertension clinical trials (AMBITION [a Study of First-Line Ambrisentan and Tadalafil Combination Therapy in Subjects with Pulmonary Arterial Hypertension], SERAPHIN [Study of Macitentan on Morbidity and Mortality in Patients with Symptomatic Pulmonary Arterial Hypertension], and GRIPHON [Selexipag in Pulmonary Arterial Hypertension]) were pooled and standardized. Receiver operating curves were used to measure each algorithm's performance in predicting clinical worsening within the pooled placebo cohort. Power simulations were conducted to determine sample size and treatment time reductions for multiple enrichment strategies. A cost analysis was performed to illustrate potential financial savings by applying enrichment to GRIPHON. Measurements and Main Results: All risk algorithms were compared using area under the receiver operating curve and substantially outperformed prediction per New York Heart Association Functional Class. The REVEAL 2.0's risk grouping provided the greatest time and sample size savings in AMBITION and GRIPHON for all enrichment strategies but lacked appropriate inputs (i.e., N-terminal-proB-type natriuretic peptide) to perform as well in SERAPHIN. Cost analysis applied to GRIPHON demonstrated the greatest financial benefit by enrolling patients with a REVEAL score ≥8. Conclusions: This preliminary study demonstrates the feasibility of risk algorithms for pulmonary arterial hypertension trial enrichment and a need for further investigation.
Databáze: MEDLINE