The drugs that mostly frequently induce acute kidney injury: a case − noncase study of a pharmacovigilance database Article Swipe
YOU?
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· 2016
· Open Access
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· DOI: https://doi.org/10.1111/bcp.13216
Aims Acute kidney injury (AKI) is associated with a high hospitalization rate, accelerated long‐term decline in kidney function and a high mortality rate. Adverse drug reactions (ADRs) constitute one of the most important modifiable factors in the context of AKI. Most studies of drug‐induced AKI have focused on a sole drug class. The objective of the present study was to establish a comprehensive overview of drug‐induced AKI on the basis of spontaneously reported ADRs in the French national pharmacovigilance database (FPVD). Methods We performed a case–noncase study of drug‐induced AKI. Cases corresponded to the reports of AKI recorded in the FPVD between 1 January 2015 and 31 December 2015. The noncases corresponded to all other spontaneously reported ADRs (excluding AKI) recorded in the FPVD during the same period. Data were expressed as the reporting odds ratio (ROR) and the 95% confidence interval. Results Of the 38 782 ADRs recorded in the FPVD during the study period, 3.2% were classified as cases of AKI. A total of 1254 patients experienced AKI (males: 55%; mean age ± standard deviation: 68.7 ± 15.0 years). Overall, 15.2% of the patients required renal replacement therapy. Two or more concomitantly administered drugs were involved in 66% of the cases of AKI. The most frequently implicated drug classes were antibacterial agents for systemic use (29.5%), diuretics (18.5%), agents acting on the renin–angiotensin system (16.3%), antineoplastic agents (10.2%) and anti‐inflammatory agents (5.4%). Gentamicin, eplerenone, spironolactone, candesartan, cisplatin and acyclovir had the highest RORs (>10). Conclusion A comprehensive study of a national pharmacovigilance database enabled us to identify the drug classes that most frequently induced AKI. Even though most of the identified drugs were already known to induce AKI, the present work should raise physicians' awareness of the compounds responsible for triggering this potentially life‐threatening condition.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/bcp.13216
- https://bpspubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/bcp.13216
- OA Status
- bronze
- Cited By
- 142
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2562729918
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2562729918Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/bcp.13216Digital Object Identifier
- Title
-
The drugs that mostly frequently induce acute kidney injury: a case − noncase study of a pharmacovigilance databaseWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-12-21Full publication date if available
- Authors
-
Marion Pierson-Marchandise, Valérie Gras, Julien Moragny, Joëlle Micallef, Louise Gaboriau, Sylvie Picard, Gabriel Choukroun, Kamel Masmoudi, Sophie LiabeufList of authors in order
- Landing page
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https://doi.org/10.1111/bcp.13216Publisher landing page
- PDF URL
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https://bpspubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/bcp.13216Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://bpspubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/bcp.13216Direct OA link when available
- Concepts
-
Medicine, Pharmacovigilance, Acute kidney injury, Odds ratio, Internal medicine, Renal function, Context (archaeology), Database, Confidence interval, Intensive care medicine, Adverse effect, Pharmacology, Paleontology, Computer science, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
142Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 15, 2024: 53, 2023: 16, 2022: 17, 2021: 14Per-year citation counts (last 5 years)
- References (count)
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44Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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