Combined use of GM2AP and TCP1-eta urinary levels predicts recovery from intrinsic acute kidney injury.
Ontology highlight
ABSTRACT: Deficient recovery from acute kidney injury (AKI) has immediate and long-term health, clinical and economic consequences. Pre-emptive recovery estimation may improve nephrology referral, optimize decision making, enrollment in trials, and provide key information for subsequent clinical handling and follow-up. For this purpose, new biomarkers are needed that predict outcome during the AKI episode. We hypothesized that damage pattern-specific biomarkers are expected to more closely associate to outcome within distinct subpopulations (i.e. those affected by specific pathological processes determining a specific outcome), as biomarker pleiotropy (i.e. associated to phenomena unrelated to AKI) introduced by unselected, heterogeneous populations may blur statistics. A panel of urinary biomarkers
SUBMITTER: Blanco-Gozalo V
PROVIDER: S-EPMC7360779 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
ACCESS DATA