Use of Public Health Surveillance Models in the French National Health System Database
NCT02904499 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 814446
Last updated 2018-09-05
Summary
Public health surveillance models, previously used for the ongoing detection of occurrence of rare events, could be used to reinforce existing pharmacovigilance systems. These models have not been previously used for Adverse Drug Reaction (ADR) detection in medico-administrative databases. DABISURV research project focuses on a new anticoagulant therapy, dabigatran, launched recently on the French market for atrial fibrillation (AF). This drug is at high risk for severe ADR and requires thus careful pharmacovigilance monitoring.
Primary objective is to compare the results of ongoing surveillance models to detect hemorrhages or acute myocardial infarction (AMI) associated with dabigatran, with the results obtained from the analysis of a cohort of patients with AF under the same treatment.
Conditions
- Atrial Fibrillation
- Anticoagulants
- Pharmacoepidemiology
Interventions
- DRUG
-
Dabigatran
Sponsors & Collaborators
-
Centre Hospitalier Universitaire de la Réunion
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2013-12-31
- Primary Completion
- 2016-09-30
- Completion
- 2018-07-31
Countries
- France
Study Locations
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