• Improve characterization of subclinical AKI. |
• Broaden the phenotyping of patients with AKI based on biological mechanisms of injury. |
Applying Biomarker Characteristics |
-Kinetics and reference range for severity of injury and chance of recovery/survival |
-Reference range in CKD |
Unbiased studies in AKI to identify unique biomarkers specific to different subtypes of AKI and respective biological pathways driving injury. |
• Expand statistical methods |
Combine biomarkers and/or clinical parameters with biomarkers. |
Cluster methods for improved phenotyping. |
Better approaches (i.e., Bayesian methods) to improve biomarker combinations. |
Combine existing biomarker studies to harness knowledge using meta-analytic techniques. |
• Extrapolate findings from clinical studies to precisely predict risk in an individual |
• Develop and institute point-of-care biomarker assays for rapid turnaround time for diagnosis, clinical trial enrollment, and risk assessment for clinical decision-making. |
• Advanced biomarkers as drug development tools through FDA biomarker qualification pathways (prognostic, predictive, surrogate, and safety biomarkers). |
• Improve AKI animal models to incorporate comorbidities and aging. |