PMC/PubMed Indexed Articles
Indexed In
- Open J Gate
- Genamics JournalSeek
- JournalTOCs
- Ulrich's Periodicals Directory
- RefSeek
- Hamdard University
- EBSCO A-Z
- OCLC- WorldCat
- Proquest Summons
- Publons
- Geneva Foundation for Medical Education and Research
- Euro Pub
- Google Scholar
Useful Links
Share This Page
Journal Flyer
Open Access Journals
- Agri and Aquaculture
- Biochemistry
- Bioinformatics & Systems Biology
- Business & Management
- Chemistry
- Clinical Sciences
- Engineering
- Food & Nutrition
- General Science
- Genetics & Molecular Biology
- Immunology & Microbiology
- Medical Sciences
- Neuroscience & Psychology
- Nursing & Health Care
- Pharmaceutical Sciences
Keith K Burkhart
Keith K Burkhart
Tanzania
Publications
-
Research Article
Drugs Highly Associated with Infusion Reactions Reported using Two Different Data-mining Methodologies
Author(s): Philip W Moore, Keith K Burkhart and David JacksonPhilip W Moore, Keith K Burkhart and David Jackson
Objective: Infusion reactions can be serious life threatening adverse events and have been associated with many drugs and biologic agents. Our objective was to report drugs associated with infusion reactions using two different data-mining methodologies. Methods: The Food and Drug Administration Adverse Event Reporting System (FAERS) was data-mined for drugs highly associated with infusion reactions. Drugs were included if there were >10 reported adverse events and if the Empirical Bayesian Geometric Mean (EBGM) score ≥ 2. Molecular Health’s MASE (Molecular Analysis of Side Effects) reports Proportional Reporting Ratios (PRR) for drugs highly associated with infusion reactions and was cross-referenced to improve detection sensitivity. Results: Using FAERS, the highest EBGM scores by class were reported a.. View More»
DOI: 10.4172/2155-9864.1000195