TY - JOUR
T1 - Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases
AU - Yousif, Zaid K.
AU - Koola, Jejo D.
AU - Macedo, Etienne
AU - Cerda, Jorge
AU - Goldstein, Stuart L.
AU - Chakravarthi, Rajasekara
AU - Lewington, Andrew
AU - Selewski, David
AU - Zappitelli, Michael
AU - Cruz, Dinna
AU - Tolwani, Ashita
AU - Joy, Melanie S.
AU - Jha, Vivekanand
AU - Ramachandran, Raja
AU - Ostermann, Marlies
AU - Pandya, Bhavna
AU - Acharya, Anjali
AU - Brophy, Patrick
AU - Ponce, Daniela
AU - Steinke, Julia
AU - Bouchard, Josee
AU - Irarrazabal, Carlos E.
AU - Irarrazabal, Romina
AU - Boltansky, Andrés
AU - Askenazi, David
AU - Kolhe, Nitin
AU - Claure-Del Granado, Rolando
AU - Benador, Nadine
AU - Castledine, Clare
AU - Davenport, Andrew
AU - Barratt, Jonathan
AU - Bhandari, Sunil
AU - Riley, Alyssa A.
AU - Davis, T. K.
AU - Farmer, Christopher
AU - Hogarth, Michael
AU - Thomas, Mark
AU - Murray, Patrick T.
AU - Robinson-Cohen, Cassianne
AU - Nicoletti, Paola
AU - Vaingankar, Sucheta
AU - Mehta, Ravindra
AU - Awdishu, Linda
N1 - © 2023 International Society of Nephrology. Published by Elsevier Inc.
PY - 2023/11
Y1 - 2023/11
N2 - 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.
AB - 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.
KW - drug-induced acute kidney injury
KW - nephrotoxicity
UR - http://www.scopus.com/inward/record.url?scp=85171160466&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/21beaef1-481b-3860-b077-cf107b86ab3d/
U2 - 10.1016/j.ekir.2023.07.037
DO - 10.1016/j.ekir.2023.07.037
M3 - Article
C2 - 38025217
AN - SCOPUS:85171160466
SN - 2468-0249
VL - 8
SP - 2333
EP - 2344
JO - Kidney International Reports
JF - Kidney International Reports
IS - 11
ER -