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Brown JS, Mendelsohn AB, Nam YH, Maro JC, Cocoros NM, Rodriguez-Watson C, Lockhart CM, Platt R, Ball R, Dal Pan GJ, Toh S. The US Food and Drug Administration Sentinel System: a national resource for a learning health system. J Am Med Inform Assoc 2022; 29:2191-2200. [PMID: 36094070 PMCID: PMC9667154 DOI: 10.1093/jamia/ocac153] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 06/18/2022] [Accepted: 08/18/2022] [Indexed: 07/23/2023] Open
Abstract
The US Food and Drug Administration (FDA) created the Sentinel System in response to a requirement in the FDA Amendments Act of 2007 that the agency establish a system for monitoring risks associated with drug and biologic products using data from disparate sources. The Sentinel System has completed hundreds of analyses, including many that have directly informed regulatory decisions. The Sentinel System also was designed to support a national infrastructure for a learning health system. Sentinel governance and guiding principles were designed to facilitate Sentinel's role as a national resource. The Sentinel System infrastructure now supports multiple non-FDA projects for stakeholders ranging from regulated industry to other federal agencies, international regulators, and academics. The Sentinel System is a working example of a learning health system that is expanding with the potential to create a global learning health system that can support medical product safety assessments and other research.
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Affiliation(s)
- Jeffrey S Brown
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Aaron B Mendelsohn
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Young Hee Nam
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Judith C Maro
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Noelle M Cocoros
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Carla Rodriguez-Watson
- Reagan-Udall Foundation for the Food and Drug Administration, Washington, District of Columbia, USA
| | - Catherine M Lockhart
- Biologics and Biosimilars Collective Intelligence Consortium, Alexandria, Virginia, USA
| | - Richard Platt
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Robert Ball
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Gerald J Dal Pan
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Sengwee Toh
- Corresponding Author: Sengwee Toh, ScD, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401 East, Boston, MA 02215, USA;
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Trifirò G, Isgrò V, Ingrasciotta Y, Ientile V, L'Abbate L, Foti SS, Belleudi V, Poggi F, Fontana A, Moretti U, Lora R, Sabaini A, Senesi I, Sorrentino C, Puzo MR, Padula A, Fusco M, Giordana R, Solfrini V, Puccini A, Rossi P, Del Zotto S, Leoni O, Zanforlini M, Ancona D, Bavaro V, Garau D, Ledda S, Scondotto S, Allotta A, Tuccori M, Gini R, Bucaneve G, Franchini D, Cavazzana A, Biasi V, Spila Alegiani S, Massari M. Large-Scale Postmarketing Surveillance of Biological Drugs for Immune-Mediated Inflammatory Diseases Through an Italian Distributed Multi-Database Healthcare Network: The VALORE Project. BioDrugs 2021; 35:749-764. [PMID: 34637126 PMCID: PMC8507511 DOI: 10.1007/s40259-021-00498-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/25/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Biological drugs have improved the management of immune-mediated inflammatory diseases (IMIDs) despite being associated with important safety issues such as immunogenicity, infections, and malignancies in real-world settings. OBJECTIVE The aim of this study was to explore the potential of a large Italian multi-database distributed network for use in the postmarketing surveillance of biological drugs, including biosimilars, in patients with IMID. METHODS A retrospective cohort study was conducted using 13 Italian regional claims databases during 2010-2019. A tailor-made R-based tool developed for distributed analysis of claims data using a study-specific common data model was customized for this study. We measured the yearly prevalence of biological drug users and the frequency of switches between originator and biosimilars for infliximab, etanercept, and adalimumab separately and stratified them by calendar year and region. We then calculated the cumulative number of users and person-years (PYs) of exposure to individual biological drugs approved for IMIDs. For a number of safety outcomes (e.g., severe acute respiratory syndrome coronavirus 2 [SARS-COV-2] infection), we conducted a sample power calculation to estimate the PYs of exposure required to investigate their association with individual biological drugs approved for IMIDs, considering different strengths of association. RESULTS From a total underlying population of almost 50 million inhabitants from 13 Italian regions, we identified 143,602 (0.3%) biological drug users, with a cumulative exposure of 507,745 PYs during the entire follow-up. The mean age ± standard deviation of biological drug users was 49.3 ± 16.3, with a female-to-male ratio of 1.2. The age-adjusted yearly prevalence of biological drug users increased threefold from 0.7 per 1000 in 2010 to 2.1 per 1000 in 2019. Overall, we identified 40,996 users of biosimilars of tumor necrosis factor (TNF)-α inhibitors (i.e., etanercept, adalimumab, and infliximab) in the years 2015-2019. Of these, 46% (N = 18,845) switched at any time between originator and biosimilars or vice versa. To investigate a moderate association (incidence rate ratio 2) between biological drugs approved for IMIDs and safety events of interest, such as optic neuritis (lowest background incidence rate 10.4/100,000 PYs) or severe infection (highest background incidence rate 4312/100,000 PYs), a total of 43,311 PYs and 104 PYs of exposure to individual biological drugs, respectively, would be required. As such, using this network, of 15 individual biological drugs approved for IMIDs, the association with those adverse events could be investigated for four (27%) and 14 (93%), respectively. CONCLUSION The VALORE project multi-database network has access to data on more than 140,000 biological drug users (and > 0.5 million PYs) from 13 Italian regions during the years 2010-2019, which will be further expanded with the inclusion of data from other regions and more recent calendar years. Overall, the cumulated amount of person-time of exposure to biological drugs approved for IMIDs provides enough statistical power to investigate weak/moderate associations of almost all individual compounds and the most relevant safety outcomes. Moreover, this network may offer the opportunity to investigate the interchangeability of originator and biosimilars of several TNFα inhibitors in different therapeutic areas in real-world settings.
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Affiliation(s)
- Gianluca Trifirò
- Department of Diagnostics and Public Health, University of Verona, 37129, Verona, Italy.
| | - Valentina Isgrò
- Department of Diagnostics and Public Health, University of Verona, 37129, Verona, Italy
| | - Ylenia Ingrasciotta
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Valentina Ientile
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Luca L'Abbate
- Department of Diagnostics and Public Health, University of Verona, 37129, Verona, Italy
| | - Saveria S Foti
- Academic spin-off "INSPIRE, Innovative Solutions for Medical Prediction and Big Data Integration in Real World Setting", Azienda Ospedaliera Universitaria "G. Martino", Messina, Italy
| | - Valeria Belleudi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Francesca Poggi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Andrea Fontana
- Unit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Ugo Moretti
- Department of Diagnostics and Public Health, University of Verona, 37129, Verona, Italy
| | - Riccardo Lora
- Department of Diagnostics and Public Health, University of Verona, 37129, Verona, Italy
| | - Alberto Sabaini
- Dipartimento di Informatica, Università degli Studi di Verona, Verona, Italy
| | - Ilenia Senesi
- Territorial Assistance Service, ASL Teramo, Abruzzo, Italy
| | | | - Maria R Puzo
- Assistance and Pharmaceutical Services Office, Personal Policies Department, Basilicata Region, Potenza, Italy
| | - Angela Padula
- Rheumatology Institute of Lucania (IReL), San Carlo Hospital of Potenza, Via Potito Petrone, 85100, Potenza, Italy
| | - Mariano Fusco
- Dipartimento delle Attività Farmaceutiche Territoriali e Ospedaliere, Naples 2 Nord LHU, Naples, Italy
| | | | - Valentina Solfrini
- Territorial Assistance Service, Drug and Medical Device Area, Emilia Romagna Health Department, Bologna, Italy
| | - Aurora Puccini
- Territorial Assistance Service, Drug and Medical Device Area, Emilia Romagna Health Department, Bologna, Italy
| | - Paola Rossi
- Direzione Centrale Salute Regione Friuli Venezia Giulia, Trieste, Italy
| | | | - Olivia Leoni
- Lombardy Regional Centre of Pharmacovigilance, Milan, Italy
| | | | | | - Vito Bavaro
- Apulian Regional Health Department, Bari, Italy
| | | | - Stefano Ledda
- Sardinia Regional Health Department, Cagliari, Italy
| | - Salvatore Scondotto
- Epidemiologic Observatory of the Sicily Regional Health Service, Palermo, Italy
| | - Alessandra Allotta
- Epidemiologic Observatory of the Sicily Regional Health Service, Palermo, Italy
| | - Marco Tuccori
- Unit of Adverse Drug Reaction Monitoring, University Hospital of Pisa, Pisa, Italy
| | - Rosa Gini
- Agenzia Regionale di Sanità Toscana, Florence, Italy
| | | | - David Franchini
- Health ICT Service, Regional Health Authority of Umbria, Perugia, Italy
| | | | | | - Stefania Spila Alegiani
- Pharmacoepidemiology Unit, National Centre for Drug Research and Evaluation, Istituto Superiore di Sanità, Rome, Italy
| | - Marco Massari
- Pharmacoepidemiology Unit, National Centre for Drug Research and Evaluation, Istituto Superiore di Sanità, Rome, Italy
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