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DOI 10.1164/rccm.202002-0357oc

Медицинская библиотека · American journal of respiratory and critical care medicine · 2021

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

Scott Jacqueline V, Garnett Christine E, Kanwar Manreet K, Stockbridge Norman L, Benza Raymond L

Сравнительное исследованиеСтатьяПоддержка NIH: внешняя программаПоддержка правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Scott Jacqueline V, Garnett Christine E, Kanwar Manreet K, Stockbridge Norman L, Benza Raymond L. Enrichment Benefits of Risk Algorithms for Pulmonary Arterial Hypertension Clinical Trials.. American journal of respiratory and critical care medicine. 2021. DOI: 10.1164/rccm.202002-0357oc.

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