SAT-156 USING KINETIC GLOMERULAR FILTRATION RATE TO CALCULATE THE RENAL ANGINA INDEX
| dc.contributor.author | Rolando Claure‐Del Granado | |
| dc.contributor.author | A. Silva-Rojas | |
| dc.contributor.author | B. Valencia-Coronel | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T18:01:36Z | |
| dc.date.available | 2026-03-22T18:01:36Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Reliable prediction of acute kidney injury (AKI) has the potential to optimize its treatment. Recently Goldstein SL et al. (Clin J Am Soc Nephrol. 2010;5: 943–949.) proposed an empiric clinical model of renal angina to identify critically ill children who would be at higher risk of AKI. Using patient demographic factors and early signs of injury, renal angina aims to delineate patients at risk for subsequent severe AKI (AKI beyond the period of functional injury) versus those at low risk. In children the combination of the renal angina index (RAI) and AKI biomarkers has an excellent diagnostic performance. | |
| dc.identifier.doi | 10.1016/j.ekir.2019.05.188 | |
| dc.identifier.uri | https://doi.org/10.1016/j.ekir.2019.05.188 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/67666 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier BV | |
| dc.relation.ispartof | Kidney International Reports | |
| dc.source | University of San Simón | |
| dc.subject | Medicine | |
| dc.subject | Acute kidney injury | |
| dc.subject | Renal function | |
| dc.subject | Angina | |
| dc.subject | Cardiology | |
| dc.subject | Internal medicine | |
| dc.subject | Intensive care medicine | |
| dc.title | SAT-156 USING KINETIC GLOMERULAR FILTRATION RATE TO CALCULATE THE RENAL ANGINA INDEX | |
| dc.type | article |