Literature DB >> 33797815

A COVID-19-ready public health surveillance system: The Food and Drug Administration's Sentinel System.

Noelle M Cocoros1, Candace C Fuller1, Sruthi Adimadhyam1, Robert Ball2, Jeffrey S Brown1, Gerald J Dal Pan2, Sheryl A Kluberg1, Vincent Lo Re3, Judith C Maro1, Michael Nguyen2, Robert Orr2, Dianne Paraoan2, Jonathan Perlin4, Russell E Poland1,4, Meighan Rogers Driscoll1, Kenneth Sands1,4, Sengwee Toh1, W Katherine Yih1, Richard Platt1.   

Abstract

The US Food and Drug Administration's Sentinel System was established in 2009 to use routinely collected electronic health data for improving the national capability to assess post-market medical product safety. Over more than a decade, Sentinel has become an integral part of FDA's surveillance capabilities and has been used to conduct analyses that have contributed to regulatory decisions. FDA's role in the COVID-19 pandemic response has necessitated an expansion and enhancement of Sentinel. Here we describe how the Sentinel System has supported FDA's response to the COVID-19 pandemic. We highlight new capabilities developed, key data generated to date, and lessons learned, particularly with respect to working with inpatient electronic health record data. Early in the pandemic, Sentinel developed a multi-pronged approach to support FDA's anticipated data and analytic needs. It incorporated new data sources, created a rapidly refreshed database, developed protocols to assess the natural history of COVID-19, validated a diagnosis-code based algorithm for identifying patients with COVID-19 in administrative claims data, and coordinated with other national and international initiatives. Sentinel is poised to answer important questions about the natural history of COVID-19 and is positioned to use this information to study the use, safety, and potentially the effectiveness of medical products used for COVID-19 prevention and treatment.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  COVID-19; electronic health records; medical claims; real-time monitoring; real-world data; surveillance

Year:  2021        PMID: 33797815     DOI: 10.1002/pds.5240

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  9 in total

1.  Association of COVID-19 vs Influenza With Risk of Arterial and Venous Thrombotic Events Among Hospitalized Patients.

Authors:  Vincent Lo Re; Sarah K Dutcher; John G Connolly; Silvia Perez-Vilar; Dena M Carbonari; Terese A DeFor; Djeneba Audrey Djibo; Laura B Harrington; Laura Hou; Sean Hennessy; Rebecca A Hubbard; Maria E Kempner; Jennifer L Kuntz; Cheryl N McMahill-Walraven; Jolene Mosley; Pamala A Pawloski; Andrew B Petrone; Allyson M Pishko; Meighan Rogers Driscoll; Claudia A Steiner; Yunping Zhou; Noelle M Cocoros
Journal:  JAMA       Date:  2022-08-16       Impact factor: 157.335

2.  Mobile Health Study Incorporating Novel Fitness Test.

Authors:  Anders Johnson; Steven G Hershman; Ali Javed; C Mikael Mattsson; Jeffrey Christle; Marily Oppezzo; Euan A Ashley
Journal:  J Cardiovasc Transl Res       Date:  2022-09-22       Impact factor: 3.216

Review 3.  Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources.

Authors:  Likeng Liang; Jifa Hu; Gang Sun; Na Hong; Ge Wu; Yuejun He; Yong Li; Tianyong Hao; Li Liu; Mengchun Gong
Journal:  Drug Saf       Date:  2022-05-17       Impact factor: 5.228

4.  Improving Enrollment of Underrepresented Racial and Ethnic Populations in Heart Failure Trials: A Call to Action From the Heart Failure Collaboratory.

Authors:  Ersilia M DeFilippis; Melvin Echols; Philip B Adamson; Wayne B Batchelor; Lauren B Cooper; Lawton S Cooper; Patrice Desvigne-Nickens; Richard T George; Nasrien E Ibrahim; Mariell Jessup; Dalane W Kitzman; Eric S Leifer; Martin Mendoza; Ileana L Piña; Mitchell Psotka; Fortunato Fred Senatore; Kenneth M Stein; John R Teerlink; Clyde W Yancy; JoAnn Lindenfeld; Mona Fiuzat; Christopher M O'Connor; Orly Vardeny; Muthiah Vaduganathan
Journal:  JAMA Cardiol       Date:  2022-05-01       Impact factor: 30.154

Review 5.  Applying Machine Learning in Distributed Data Networks for Pharmacoepidemiologic and Pharmacovigilance Studies: Opportunities, Challenges, and Considerations.

Authors:  Jenna Wong; Daniel Prieto-Alhambra; Peter R Rijnbeek; Rishi J Desai; Jenna M Reps; Sengwee Toh
Journal:  Drug Saf       Date:  2022-05-17       Impact factor: 5.228

6.  Categorization of COVID-19 severity to determine mortality risk.

Authors:  Elizabeth M Garry; Andrew R Weckstein; Kenneth Quinto; Marie C Bradley; Tamar Lasky; Aloka Chakravarty; Sandy Leonard; Sarah E Vititoe; Imaani J Easthausen; Jeremy A Rassen; Nicolle M Gatto
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-05-09       Impact factor: 2.732

7.  COVID-19 pharmacotherapy utilization patterns during pregnancy: International Registry of Coronavirus Exposure in Pregnancy.

Authors:  Whitney J Westhoff; Louisa H Smith; Diego F Wyszynski; Sonia Hernandez-Diaz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-04-24       Impact factor: 2.732

8.  A near real-time electronic health record-based COVID-19 surveillance system: An experience from a developing country.

Authors:  Abbas Sheikhtaheri; Seyed Mohammad Tabatabaee Jabali; Ehsan Bitaraf; Alireza TehraniYazdi; Ali Kabir
Journal:  Health Inf Manag       Date:  2022-07-15       Impact factor: 3.778

9.  Using inpatient electronic medical records to study influenza for pandemic preparedness.

Authors:  Candace C Fuller; Austin Cosgrove; Kenneth Sands; Karla M Miller; Russell E Poland; Edward Rosen; Alfred Sorbello; Henry Francis; Robert Orr; Sarah K Dutcher; Gregory T Measer; Noelle M Cocoros
Journal:  Influenza Other Respir Viruses       Date:  2021-10-25       Impact factor: 4.380

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.