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Rigshospitalet - en del af Københavns Universitetshospital

Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review


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  • Anne Byriel Walls
  • Anne Kathrine Bengaard
  • Esben Iversen
  • Camilla Ngoc Nguyen
  • Thomas Kallemose
  • Helle Gybel Juul-Larsen
  • Baker Nawfal Jawad
  • Mads Hornum
  • Ove Andersen
  • Jesper Eugen-Olsen
  • Morten Baltzer Houlind
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Diagnosis of acute kidney injury (AKI) based on plasma creatinine often lags behind actual changes in renal function. Here, we investigated early detection of AKI using the plasma soluble urokinase plasminogen activator receptor (suPAR) and neutrophil gelatinase-sssociated lipocalin (NGAL) and observed the impact of early detection on prescribing recommendations for renally-eliminated medications. This study is a secondary analysis of data from the DISABLMENT cohort on acutely admitted older (≥65 years) medical patients (n = 339). Presence of AKI according to kidney disease: improving global outcomes (KDIGO) criteria was identified from inclusion to 48 h after inclusion. Discriminatory power of suPAR and NGAL was determined by receiver-operating characteristic (ROC). Selected medications that are contraindicated in AKI were identified in Renbase®. A total of 33 (9.7%) patients developed AKI. Discriminatory power for suPAR and NGAL was 0.69 and 0.78, respectively, at a cutoff of 4.26 ng/mL and 139.5 ng/mL, respectively. The interaction of suPAR and NGAL yielded a discriminatory power of 0.80, which was significantly higher than for suPAR alone (p = 0.0059). Among patients with AKI, 22 (60.6%) used at least one medication that should be avoided in AKI. Overall, suPAR and NGAL levels were independently associated with incident AKI and their combination yielded excellent discriminatory power for risk determination of AKI.

TidsskriftPharmaceuticals (Basel, Switzerland)
Udgave nummer9
StatusUdgivet - 25 aug. 2021

ID: 67889504