Six Years of FDA's Postmarket Active Risk Identification and Analysis System (ARIA) in the Sentinel Initiative: Implications for Real World Evidence Generation.

View Abstract

Congress mandated the creation of a postmarket active risk identification and analysis (ARIA) system containing data on 100 million individuals for monitoring risks associated with drug and biologic products using data from disparate sources to complement the US Food and Drug Administration's (FDA's) existing postmarket capabilities. We report on the first six years of ARIA utilization in the Sentinel System (2016 -2021). The FDA has used the ARIA system to evaluate 133 safety concerns; 54 of these evaluations have closed with regulatory determinations while the rest remain in progress. If the ARIA system and FDA's Adverse Event Reporting System are deemed insufficient to address a safety concern, then FDA may issue a postmarket requirement to a product's manufacturer. One-hundred-ninety-seven ARIA insufficiency determinations have been made. The most common situation for which ARIA was found to be insufficient is the evaluation of adverse pregnancy and fetal outcomes following in utero drug exposure, followed by neoplasms and death. ARIA was most likely to be sufficient for thromboembolic events, which have high positive predictive value in claims data alone and do not require supplemental clinical data. The lessons learned from this experience illustrate the continued challenges using administrative claims data, especially to define novel clinical outcomes. This analysis can help to identify where more granular clinical data are needed to fill gaps to improve the use of real-world data for drug safety analyses and provide insights into what is needed to efficiently generate high-quality real-world evidence for efficacy.

Investigators
Abbreviation
Clin Pharmacol Ther
Publication Date
2023-06-30
Pubmed ID
37391385
Medium
Print-Electronic
Full Title
Six Years of FDA's Postmarket Active Risk Identification and Analysis System (ARIA) in the Sentinel Initiative: Implications for Real World Evidence Generation.
Authors
Maro JC, Nguyen MD, Kolonoski J, Schoeplein R, Huang TY, Dutcher SK, Dal Pan GJ, Ball R