The enhancing role of pharmacovigilance to conventional antibiotic resistance surveillance: cross-sectional identification and analysis of reports of antibiotic resistance in VigiBase

Objectives: This study aimed to identify and analyze potential cases of antibiotic resistance in a global pharmacovigilance database. Methods: A search of VigiBase, the World Health Organization global database of adverse event reports, was done on data up to October 3, 2022 to identify suspected ca...

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Bibliographic Details
Published in:International Journal of Infectious Diseases
Main Authors: Joseph Mitchell, Camilla Westerberg, Manju Purohit, Pinelopi Lundquist, Cecilia Stålsby Lundborg
Format: Article
Language:English
Published: Elsevier 2025-09-01
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Online Access:http://www.sciencedirect.com/science/article/pii/S1201971225001717
Description
Summary:Objectives: This study aimed to identify and analyze potential cases of antibiotic resistance in a global pharmacovigilance database. Methods: A search of VigiBase, the World Health Organization global database of adverse event reports, was done on data up to October 3, 2022 to identify suspected cases of antibiotic resistance. Reports were classified as being “probable” or “possible” to represent cases of antibiotic resistance. Results: In total, 24,312 reports of potential antibiotic resistance cases were identified during the search, with 3497 classified as probable reports and 20,815 as possible reports based on their preferred terms. For the probable reports, 91.5% were found to be “very likely” or “likely” related to antibiotic resistance, although the reporting of antimicrobial susceptibility testing (38.3% of reviewed “probable” reports and 7.2% of reviewed “possible” reports) and previous antibiotic use (12.8% of reviewed “probable” reports and 9.0% of reviewed “possible” reports) was limited. The “possible” reports identified cases of antibiotic resistance with less accuracy but highlighted important information around unexpected antibiotic failure. Conclusions: This study provides an in-depth overview of antibiotic resistance reporting in VigiBase. Certain terms identified cases with good accuracy and can contain supplementary information to conventional antibiotic resistance surveillance. These findings can guide future research; however, researchers must be aware of inherent limitations and biases.
ISSN:1201-9712