Overcoming barriers in the design and implementation of clinical trials for acute kidney injury: a report from the 2020 Kidney Disease Clinical Trialists meeting. Issue 4 (12th January 2022)

• Record Type: Journal Article
• Authors: Lazzareschi, Daniel; Mehta, Ravindra L; Dember, Laura M; Bernholz, Juliane; Turan, Alparslan; Sharma, Amit; Kheterpal, Sachin; Parikh, Chirag R; Ali, Omar; Schulman, Ivonne H; Ryan, Abigail; Feng, Jean; Simon, Noah; Pirracchio, Romain; Rossignol, Patrick; Legrand, Matthieu
• Is Part Of: Nephrology dialysis transplantation. Volume 38:Issue 4(2023)
• Page Start: 834
• Page End: 844
• Publication Date: 2022-01-12
• Subjects: AKI -- biomarkers -- outcome -- machine learning -- pragmatic trial; Nephrology -- Periodicals; Hemodialysis -- Periodicals; Kidneys -- Transplantation -- Periodicals; Hemodialysis; Kidneys -- Transplantation; Nephrology; Periodicals; 616.61
• DOI: 10.1093/ndt/gfac003
• Languages: English
• ISSNs: 0931-0509

Abstract

ABSTRACT: Acute kidney injury (AKI) is a growing epidemic and is independently associated with increased risk of death, chronic kidney disease (CKD) and cardiovascular events. Randomized-controlled trials (RCTs) in this domain are notoriously challenging and many clinical studies in AKI have yielded inconclusive findings. Underlying this conundrum is the inherent heterogeneity of AKI in its etiology, presentation and course. AKI is best understood as a syndrome and identification of AKI subphenotypes is needed to elucidate the disease's myriad etiologies and to tailor effective prevention and treatment strategies. Conventional RCTs are logistically cumbersome and often feature highly selected patient populations that limit external generalizability and thus alternative trial designs should be considered when appropriate. In this narrative review of recent developments in AKI trials based on the Kidney Disease Clinical Trialists (KDCT) 2020 meeting, we discuss barriers to and strategies for improved design and implementation of clinical trials for AKI patients, including predictive and prognostic enrichment techniques, the use of pragmatic trials and adaptive trials.