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Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases

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posted on 2024-05-17, 12:12 authored by ZK Yousif, JD Koola, E Macedo, J Cerda, SL Goldstein, R Chakravarthi, A Lewington, D Selewski, M Zappitelli, D Cruz, A Tolwani, MS Joy, V Jha, R Ramachandran, M Ostermann, B Pandya, A Acharya, P Brophy, D Ponce, J Steinke, J Bouchard, CE Irarrazabal, R Irarrazabal, A Boltansky, D Askenazi, N Kolhe, R Claure-Del Granado, N Benador, C Castledine, A Davenport, J Barratt, S Bhandari, AA Riley, TK Davis, C Farmer, M Hogarth, M Thomas, PT Murray, C Robinson-Cohen, P Nicoletti, S Vaingankar, R Mehta, L Awdishu
Introduction: Drug-induced acute kidney injury (DI-AKI) is a frequent adverse event. The identification of DI-AKI is challenged by competing etiologies, clinical heterogeneity among patients, and a lack of accurate diagnostic tools. Our research aims to describe the clinical characteristics and predictive variables of DI-AKI. Methods: We analyzed data from the Drug-Induced Renal Injury Consortium (DIRECT) study (NCT02159209), an international, multicenter, observational cohort study of enriched clinically adjudicated DI-AKI cases. Cases met the primary inclusion criteria if the patient was exposed to at least 1 nephrotoxic drug for a minimum of 24 hours prior to AKI onset. Cases were clinically adjudicated, and inter-rater reliability (IRR) was measured using Krippendorff's alpha. Variables associated with DI-AKI were identified using L1 regularized multivariable logistic regression. Model performance was assessed using the area under the receiver operating characteristic curve (ROC AUC). Results: A total of 314 AKI cases met the eligibility criteria for this analysis, and 271 (86%) cases were adjudicated as DI-AKI. The majority of the AKI cases were recruited from the United States (68%). The most frequent causal nephrotoxic drugs were vancomycin (48.7%), nonsteroidal antiinflammatory drugs (18.2%), and piperacillin/tazobactam (17.8%). The IRR for DI-AKI adjudication was 0.309. The multivariable model identified age, vascular capacity, hyperglycemia, infections, pyuria, serum creatinine (SCr) trends, and contrast media as significant predictors of DI-AKI with good performance (ROC AUC 0.86). Conclusion: The identification of DI-AKI is challenging even with comprehensive adjudication by experienced nephrologists. Our analysis identified key clinical characteristics and outcomes of DI-AKI compared to other AKI etiologies.

Funding

This study was funded by the International Serious Adverse Events Consortium. ZKY acknowledges grant funding from the National Library of Medicine (award number T15LM011271) and the University of California, San Diego Skaggs School of Pharmacy and Pharmaceutical Sciences.

History

Author affiliation

Organisation Organisation/College of Life Sciences Organisation/College of Life Sciences/Cardiovascular Sciences

Version

  • VoR (Version of Record)

Published in

Kidney International Reports

Volume

8

Issue

11

Pagination

2333 - 2344

Publisher

Elsevier

issn

2468-0249

eissn

2468-0249

Copyright date

2023

Available date

2024-05-17

Spatial coverage

United States

Language

en

Deposited by

Professor Jonathan Barratt

Deposit date

2024-03-28

Rights Retention Statement

  • No

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