Drug-Associated Acute Kidney Injury Identified in the United States Food and Drug Administration Adverse Event Reporting System Database.

Acute kidney injury (AKI) is a common condition associated with both short-term and long-term consequences including dialysis, chronic kidney disease, and mortality. Although the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database is a powerful tool to examine drug-associated events, to our knowledge, no study has analyzed this database to identify the most common drugs reported with AKI. The objective of this study was to analyze AKI reports and associated medications in the FAERS database. Retrospective pharmacovigilance disproportionality analysis. Food and Drug Administration Adverse Event Reporting System database. We queried the FAERS database for reports of AKI from 2004 quarter 1 through 2015 quarter 3. Extracted drugs were assessed using published references and categorized as known, possible, or new potential nephrotoxins. The reporting odds ratio (ROR), a measure of reporting disproportionality, was calculated for the 20 most frequently reported drugs in each category. We retrieved 7,241,385 adverse event reports, of which 193,996 (2.7%) included a report of AKI. Of the AKI reports, 16.5% were known nephrotoxins, 18.6% were possible nephrotoxins, and 64.8% were new potential nephrotoxins. Among the most commonly reported drugs, those with the highest AKI ROR were aprotinin (7614 reports; ROR 115.70, 95% confidence interval [CI] 110.63-121.01), sodium phosphate (1687 reports; ROR 55.81, 95% CI 51.78-60.17), furosemide (1743 reports; ROR 12.61, 95% CI 11.94-13.32), vancomycin (1270 reports, ROR 12.19, 95% CI 11.45-12.99), and metformin (4701 reports; ROR 10.65, 95% CI 10.31-11.00). The combined RORs for the 20 most frequently reported drugs with each nephrotoxin classification were 3.71 (95% CI 3.66-3.76) for known nephrotoxins, 2.09 (95% CI 2.06-2.12) for possible nephrotoxins, and 1.55 (95% CI 1.53-1.57) for new potential nephrotoxins. Acute kidney injury was a common reason for adverse event reporting in the FAERS. Most AKI reports were generated for medications not recognized as nephrotoxic according to our classification system. This report provides data on medications needing further research to determine the risk of AKI with these new potential nephrotoxins.

Welch HK ，Kellum JA ，Kane-Gill SL 《-》

Surveillance of drugs that most frequently induce acute kidney injury: A pharmacovigilance approach.

Acute kidney injury (AKI) often occurs in hospitalized patients, and it is an increasing problem worldwide. Recently, clinical studies have shown that there is a strong association between drug-induced AKI and poor outcomes, including the progression of chronic kidney disease and end-stage renal disease; however, limited data are available on drug-induced AKI. The purpose of this study was to clarify the rank-order of the association of all drugs with AKI using a spontaneous reporting system database. We performed a retrospective pharmacovigilance disproportionality analysis using the Japanese Adverse Drug Event Report (JADER) database. Adverse event reports submitted to Pharmaceuticals and Medical Devices Agency between April 2004 and January 2017 were analysed. Based on 5 195 890 reports of all adverse events, we obtained 12 964 reports of AKI caused by all drugs and calculated the reporting odds ratio (ROR) and 95% confidence interval (CI) for AKI. The most frequently reported drugs were valaciclovir hydrochloride (ROR, 24.88; 95% CI: 23.1-26.8), eldecalcitol (ROR, 14.23; 95% CI, 11.68-17.33), edaravone (ROR, 14.03; 95% CI, 11.76-16.75), acyclovir (ROR, 11.17; 95% CI, 9.55-13.1), piperacillin-tazobactam (ROR, 9.23; 95% CI, 7.72-11.0), and spironolactone (ROR, 7.36; 95% CI, 6.12-8.86). A comprehensive study using a pharmacovigilance database enabled us to identify the drugs that most frequently induce AKI, raising physicians' awareness of the drugs in use for patients with potentially decreased renal function.

Hosohata K ，Inada A ，Oyama S ，Furushima D ，Yamada H ，Iwanaga K ... -  《-》

Assessment of acute kidney injury related to small-molecule protein kinase inhibitors using the FDA adverse event reporting system.

Fan Q ，Ma J ，Zhang B ，Li Q ，Liu F ，Zhao B ... -  《-》

Comparing Acute Kidney Injury Reports Among Antibiotics: A Pharmacovigilance Study of the FDA Adverse Event Reporting System (FAERS).

Patek TM ，Teng C ，Kennedy KE ，Alvarez CA ，Frei CR ... -  《-》

Novel Adverse Events of Iloperidone: A Disproportionality Analysis in US Food and Drug Administration Adverse Event Reporting System (FAERS) Database.

The signal is defined as "reported information on a possible causal relationship between an adverse event and a drug, of which the relationship is unknown or incompletely documented previously". To detect novel adverse events of iloperidone by disproportionality analysis in FDA database of Adverse Event Reporting System (FAERS) using Data Mining Algorithms (DMAs). The US FAERS database consists of 1028 iloperidone associated Drug Event Combinations (DECs) which were reported from 2010 Q1 to 2016 Q3. We consider DECs for disproportionality analysis only if a minimum of ten reports are present in database for the given adverse event and which were not detected earlier (in clinical trials). Two data mining algorithms, namely, Reporting Odds Ratio (ROR) and Information Component (IC) were applied retrospectively in the aforementioned time period. A value of ROR-1.96SE>1 and IC- 2SD>0 were considered as the threshold for positive signal. The mean age of the patients of iloperidone associated events was found to be 44years [95% CI: 36-51], nevertheless age was not mentioned in twenty-one reports. The data mining algorithms exhibited positive signal for akathisia (ROR-1.96SE=43.15, IC-2SD=2.99), dyskinesia (21.24, 3.06), peripheral oedema (6.67,1.08), priapism (425.7,9.09) and sexual dysfunction (26.6-1.5) upon analysis as those were well above the pre-set threshold. Iloperidone associated five potential signals were generated by data mining in the FDA AERS database. The result requires an integration of further clinical surveillance for the quantification and validation of possible risks for the adverse events reported of iloperidone.

Subeesh V ，Maheswari E ，Singh H ，Beulah TE ，Swaroop AM ... -  《-》