Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases.
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Author
Yousif, Zaid KKoola, Jejo D
Macedo, Etienne
Cerda, Jorge
Goldstein, Stuart L
Chakravarthi, Rajasekara
Lewington, Andrew
Selewski, David
Zappitelli, Michael
Cruz, Dinna
Tolwani, Ashita
Joy, Melanie S
Jha, Vivekanand
Ramachandran, Raja
Ostermann, Marlies

Pandya, Bhavna
Acharya, Anjali
Brophy, Patrick
Ponce, Daniela
Steinke, Julia
Bouchard, Josee
Irarrazabal, Carlos E
Irarrazabal, Romina
Boltansky, Andrés
Askenazi, David
Kolhe, Nitin
Claure-Del Granado, Rolando
Benador, Nadine
Castledine, Clare
Davenport, Andrew
Barratt, Jonathan
Bhandari, Sunil
Riley, Alyssa A
Davis, T K
Farmer, Christopher
Hogarth, Michael
Thomas, Mark

Murray, Patrick T
Robinson-Cohen, Cassianne
Nicoletti, Paola
Vaingankar, Sucheta
Mehta, Ravindra
Awdishu, Linda
Publication date
2023-08-14Subject
Neurology
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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. Keywords: drug-induced acute kidney injury; nephrotoxicity.Citation
Yousif ZK, Koola JD, Macedo E, Cerda J, Goldstein SL, Chakravarthi R, Lewington A, Selewski D, Zappitelli M, Cruz D, Tolwani A, Joy MS, Jha V, Ramachandran R, Ostermann M, Pandya B, Acharya A, Brophy P, Ponce D, Steinke J, Bouchard J, Irarrazabal CE, Irarrazabal R, Boltansky A, Askenazi D, Kolhe N, Claure-Del Granado R, Benador N, Castledine C, Davenport A, Barratt J, Bhandari S, Riley AA, Davis TK, Farmer C, Hogarth M, Thomas M, Murray PT, Robinson-Cohen C, Nicoletti P, Vaingankar S, Mehta R, Awdishu L. Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases. Kidney Int Rep. 2023 Aug 14;8(11):2333-2344. doi: 10.1016/j.ekir.2023.07.037. PMID: 38025217; PMCID: PMC10658426.Type
ArticleAdditional Links
https://www.sciencedirect.com/science/article/pii/S2468024923014171PMID
38025217Journal
Kidney International ReportsPublisher
Elsevierae974a485f413a2113503eed53cd6c53
10.1016/j.ekir.2023.07.037