FDA-Catalyst—Using FDA’s Sentinel Initiative for large-scale pragmatic randomized trials: Approach and lessons learned during the planning phase of the first trial

Background: The US Food and Drug Administration’s Sentinel Initiative is well positioned to support pragmatic clinical trials. FDA-Catalyst combines direct contact with health plan members and/or providers with data in the Sentinel infrastructure. Here, we describe the rationale, feasibility analyses, and lessons learned from the planning phase of the first large pragmatic trial conducted using the Sentinel Initiative’s delivery system capabilities—IMplementation of a randomized controlled trial to imProve treatment with oral AntiCoagulanTs in patients with Atrial Fibrillation (the IMPACT-AFib trial). Methods: During the planning phase, we convened representatives from five commercial health plans, FDA, study coordinating centers, and a patient representative for protocol development, institutional review board preparation, and other activities. Administrative claims data from the plans were included in a retrospective cohort analysis to assess sample size for the trial. Members ≥30 years old with ≥365 days of medical/pharmacy coverage, ≥2 diagnosis codes for atrial fibrillation, a guideline-based indication for oral anticoagulant use for stroke prevention, and no evidence of oral anticoagulant use in the 365 days prior to the index atrial fibrillation diagnosis in 2013 were included. Exclusions for the analysis included other conditions requiring anticoagulation, history of intracranial hemorrhage, and gastrointestinal bleed. We calculated rates of oral anticoagulant use, transient ischemic attack or stroke, and bleeding in the 365 days following the index atrial fibrillation diagnosis. Results: A total of 44,786 members with atrial fibrillation with no evidence of recent oral anticoagulant use were identified. In total, 87% (n = 38,759) were classified as having a guideline-based indication for oral anticoagulants. Of those, 33% (n = 12,867) had a new oral anticoagulant dispensed during the following year, 15% (n = 5917) were hospitalized for stroke or transient ischemic attack, and 9% (n = 3469) for bleeding events. This information was used to develop the trial protocol including sample size, power calculations, and level of randomization. Conclusion: Sentinel infrastructure generated preliminary data that supported planning and implementation of a large pragmatic trial embedded in health plans. This planning identified unanticipated challenges that must be addressed in similar trials.

[1]  William W. Stead,et al.  Toward a science of learning systems: a research agenda for the high-functioning Learning Health System , 2014, J. Am. Medical Informatics Assoc..

[2]  Wassim Shatila,et al.  Accuracy and validation of an automated electronic algorithm to identify patients with atrial fibrillation at risk for stroke. , 2015, American heart journal.

[3]  M. Ezekowitz,et al.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the Heart Rhythm Society. , 2014, Circulation.

[4]  Hugh Calkins,et al.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. , 2014, Journal of the American College of Cardiology.

[5]  Thomas P. Gross,et al.  The US Food and Drug Administration's Sentinel Initiative: Expanding the horizons of medical product safety , 2012, Pharmacoepidemiology and drug safety.

[6]  Richard Platt,et al.  The U.S. Food and Drug Administration's Mini‐Sentinel program: status and direction , 2012, Pharmacoepidemiology and drug safety.

[7]  R. Platt,et al.  Developing the Sentinel System--a national resource for evidence development. , 2011, The New England journal of medicine.

[8]  Gregory Y H Lip,et al.  Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. , 2010, Chest.

[9]  Yuchiao Chang,et al.  Effect of intensity of oral anticoagulation on stroke severity and mortality in atrial fibrillation. , 2003, The New England journal of medicine.

[10]  T. Olsen,et al.  Acute stroke with atrial fibrillation. The Copenhagen Stroke Study. , 1996, Stroke.

[11]  D. Lougson,et al.  Acute. , 2020, The Manchester medical gazette.