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Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases
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 pred...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658426/ https://www.ncbi.nlm.nih.gov/pubmed/38025217 http://dx.doi.org/10.1016/j.ekir.2023.07.037 |
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author | Yousif, Zaid K. Koola, 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 |
author_facet | Yousif, Zaid K. Koola, 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 |
author_sort | Yousif, Zaid K. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10658426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106584262023-08-14 Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases Yousif, Zaid K. Koola, 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 Kidney Int Rep Clinical Research 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. Elsevier 2023-08-14 /pmc/articles/PMC10658426/ /pubmed/38025217 http://dx.doi.org/10.1016/j.ekir.2023.07.037 Text en © 2023 International Society of Nephrology. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Clinical Research Yousif, Zaid K. Koola, 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 Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases |
title | Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases |
title_full | Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases |
title_fullStr | Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases |
title_full_unstemmed | Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases |
title_short | Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases |
title_sort | clinical characteristics and outcomes of drug-induced acute kidney injury cases |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658426/ https://www.ncbi.nlm.nih.gov/pubmed/38025217 http://dx.doi.org/10.1016/j.ekir.2023.07.037 |
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