Evidence map›Paper›PMID 38025217›Full record

ArticleKidney international reports2023

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

Zaid K Yousif, Jejo D Koola, Etienne Macedo, Jorge Cerda, Stuart L Goldstein, Rajasekara Chakravarthi, Andrew Lewington, David Selewski, Michael Zappitelli, Dinna Cruz and 33 more

Registry-linked trialAbstract read
In one paragraph

Article in Kidney international reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02159209 (The Genetic Contribution to Drug Induced Renal Injury), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02159209 completednot on this map

The Genetic Contribution to Drug Induced Renal Injury: The Drug Induced Renal Injury Consortium (DIRECT)

TypeobservationalSponsorRavindra MehtaRan2013 to 2015Enrolled634ConditionsAcute Kidney Injury, Adverse Drug Reaction, Acute Kidney Failure, Kidney Failure
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

43 authors.

Zaid K YousifDivision of Clinical Pharmacy, University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical, La Jolla, California, USA.
Jejo D KoolaDivision of Biomedical Informatics, Department of Medicine, University of California, La Jolla, California, USA.
Etienne MacedoDivision of Nephrology, Department of Medicine, University of California San Diego, La Jolla, California, USA.
Jorge CerdaAlbany Medical College, Albany, New York, USA.
Stuart L GoldsteinCenter for Acute Care Nephrology, Cincinnati Children's Hospital, Cincinnati, Ohio, USA.
Rajasekara ChakravarthiNephrology Services, STAR Hospitals, Renown Clinical Services, Hyderabad, Telangana, India.
Andrew LewingtonSt. James University Hospital, Leeds, UK.
David SelewskiDepartment of Pediatrics, Medical University of South Carolina, Charleston, South Carolina, USA.
Michael ZappitelliDepartment of Pediatrics, Division of Nephrology, Hospital for Sick Children, University of Toronto, Ontario, Canada.
Dinna CruzDivision of Nephrology, Department of Medicine, University of California San Diego, La Jolla, California, USA.
Ashita TolwaniUniversity of Alabama at Birmingham, Alabama, USA.
Melanie S JoyUniversity of Colorado School of Pharmacy and Pharmaceutical Sciences and School of Medicine in Aurora, Colorado, USA.
Vivekanand JhaGeorge Institute for Global Health, UNSW, New Delhi, India.
Raja RamachandranPostgraduate Institute of Medical Education & Research, Chandigarh, India.
Marlies OstermannDepartment of Critical Care and Nephrology, King's College London, Guy's and St Thomas' Hospital, London, UK.
Bhavna PandyaMedical and Dental Staff Governor, Liverpool University Hospitals NHS Foundation Trust/Aintree University Hospital, Liverpool, UK.
Anjali AcharyaJacobi Medical Center, Albert Einstein College of Medicine, The Bronx, New York, New York, USA.
Patrick BrophyDepartment of Pediatrics at the University of Rochester School of Medicine and Dentistry, New York, USA.
Daniela PonceUniversity of Sao Paulo State, Brazil.
Julia SteinkeHelen DeVos Children's Hospital, Grand Rapids, Michigan, USA.
Josee BouchardHopital du Sacre-Coeur de Montreal, Montreal, Quebec, Canada.
Carlos E IrarrazabalPrograma de Fisiología, Centro de Investigación e Innovación Biomédica, Universidad de los Andes, Santiago, Chile.
Romina IrarrazabalClinica Dávila, Santiago, Chile.
Andrés BoltanskyClinica Dávila, Santiago, Chile.
David AskenaziChildren's of Alabama (UAB-Pediatrics), Birmingham, Alabama, USA.
Nitin KolheConsultant Nephrologist, Royal Derby Hospital, Derby, UK.
Rolando Claure-Del GranadoDivision of Nephrology Hospital Obrero No 2 - CNS Cochabamba, Bolivia/Universidad Mayor de San Simón School of Medicine Cochabamba, Bolivia.
Nadine BenadorUniversity of California San Diego, San Diego, California, USA / Rady Children's Hospital, San Diego, USA.
Clare CastledineBrighton and Sussex Medical School, Brighton, East Sussex, UK.
Andrew DavenportUniversity College London, Department of Renal Medicine, Royal Free London NHS Trust London, UK.
Jonathan BarrattDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Sunil BhandariHull University Teaching Hospitals NHS Trust, Hull, UK.
Alyssa A RileyDepartment of Pediatrics, Section of Nephrology, Baylor College of Medicine, Houston, Texas, USA.
T K DavisSt. Louis Children's Hospital, St. Louis, Missouri, USA.
Christopher FarmerCentre for Health Services Studies, George Allen Wing, Cornwallis Building, University of Kent, Canterbury, Kent, UK.
Michael HogarthDivision of Biomedical Informatics, Department of Medicine, University of California, La Jolla, California, USA.
Mark ThomasBirmingham Heartlands Hospital, Birmingham, Alabama, USA.
Patrick T MurraySchool of Medicine, University College Dublin, Ireland.
Cassianne Robinson-CohenDivision of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Tennessee, USA.
Paola NicolettiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Sucheta VaingankarUniversity of California, La Jolla, California, USA.
Ravindra MehtaDivision of Nephrology, Department of Medicine, University of California San Diego, La Jolla, California, USA.
Linda AwdishuDivision of Clinical Pharmacy, University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical, La Jolla, California, USA.

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

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.

Indexed as

drug-induced acute kidney injurynephrotoxicity

Identifiers

PMID38025217
PMCPMC10658426

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.