scholarly journals Proton pump inhibitors associated acute kidney injury and chronic kidney disease: data mining of US FDA adverse event reporting system

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bin Wu ◽  
Dan Li ◽  
Ting Xu ◽  
Min Luo ◽  
Zhiyao He ◽  
...  

AbstractProton pump inhibitors (PPIs) were widely used. Observational studies suggested increasing risk of kidney injury in patients with PPIs treatment. We gathered six PPI regimens and adverse reports of acute kidney injury (AKI) and chronic kidney disease (CKD) based on US FDA Adverse Event Reporting System (FAERS) database from 2004 to 2019. We employed reporting odds ratio (ROR) to detect signals. Finally, we identified 3187 PPIs-associated AKI cases and 3457 PPIs-associated CKD cases. We detected significant signals between PPIs and AKI as well as CKD. The signal strength was stronger for CKD (ROR = 8.80, 95% CI 8.49–9.13) than AKI (ROR = 3.95, 95% CI 3.81–4.10), while dexlansoprazole performed stronger association for CKD (ROR = 34.94, 95% CI 30.89–39.53) and AKI (ROR = 8.18, 95% CI 7.04–9.51) than the other five PPIs. The median time from PPIs use to event occurrence was 23 days for AKI and 177 days for CKD. PPIs-associated AKI resulted larger proportion of death, life-threatening, hospitalization and disability events than PPIs-associated CKD. By mining the FAERS big data, we provided more information between PPIs use and the AKI and CKD events. PPIs rational use should be repeatedly stressed.

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S662-S662
Author(s):  
Taylor M Patek ◽  
Chengwen Teng ◽  
Kaitlin E Kennedy ◽  
Christopher R Frei

Abstract Background A recent article published in 2018 studied the FDA Adverse Event Reporting System (FAERS) and listed the most common medications associated with acute kidney injury (AKI) based on number of AKI reports. In regards to antibiotics, the study only ranked vancomycin, fluoroquinolones, penicillin combinations, and trimethoprim–sulfamethoxazole as having a significant association with AKI. The objective of this study was to evaluate those and additional antibiotic classes using FAERS, and to compare their risk associated with this adverse drug event. Methods FAERS reports from January 1, 2015 to December 31, 2017 were included in the study. The Medical Dictionary for Regulatory Activities (MedDRA) was used to identify AKI cases. Reporting Odds Ratios (RORs) and corresponding 95% confidence intervals (95% CI) for the association between antibiotics and AKI were calculated. An association was considered statistically significant when the lower limit of the 95% CI was greater than 1.0. Results A total of 2,042,801 reports (including 20,138 acute kidney injury reports) were considered, after inclusion criteria were applied. Colistin had the greatest proportion of AKI reports, representing 25% of all colistin reports. Acute kidney injury RORs (95% CI) for antibiotics were (in descending order): colistin 33.10 (21.24–51.56), aminoglycosides 17.41 (14.49–20.90), vancomycin 15.28 (13.82–16.90), trimethoprim-sulfamethoxazole 13.72 (11.94–15.76), penicillin combinations 7.95 (7.09–8.91), clindamycin 6.46 (5.18–8.04), cephalosporins 6.07 (5.23–7.05), daptomycin 6.07 (4.61–7.99), macrolides 3.60 (3.04–4.26), linezolid 3.48 (2.54–4.77), carbapenems 3.31 (2.58–4.25), metronidazole 2.55 (1.94–3.36), tetracyclines 1.73 (1.26–2.36), and fluoroquinolones 1.71 (1.49–1.97). Conclusion This study found 17 classes of antibiotics and combinations that were significantly associated with AKI compared with four antibiotics that were mentioned in a recently published article looking at drug-associated AKI. While this study confirmed previous literature of certain antibiotics associated with increased risk of AKI, it also compared antibiotics within classes and provided additional insight regarding which antibiotics had the highest associated risk of an AKI. Disclosures All authors: No reported disclosures.


Drug Safety ◽  
2020 ◽  
Vol 43 (8) ◽  
pp. 825-825
Author(s):  
Taylor M. Patek ◽  
Chengwen Teng ◽  
Kaitlin E. Kennedy ◽  
Carlos A. Alvarez ◽  
Christopher R. Frei

Drug Safety ◽  
2019 ◽  
Vol 43 (1) ◽  
pp. 17-22 ◽  
Author(s):  
Taylor M. Patek ◽  
Chengwen Teng ◽  
Kaitlin E. Kennedy ◽  
Carlos A. Alvarez ◽  
Christopher R. Frei

Drug Safety ◽  
2020 ◽  
Vol 43 (5) ◽  
pp. 457-465 ◽  
Author(s):  
Kathryn Marwitz ◽  
S. Christopher Jones ◽  
Cindy M. Kortepeter ◽  
Gerald J. Dal Pan ◽  
Monica A. Muñoz

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