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

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 obser...

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Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Pharmaceuticals
Subjects:
Online Access:https://www.mdpi.com/1424-8247/14/9/843
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author 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
author_facet 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
author_sort Anne Byriel Walls
collection DOAJ
description 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 (<i>n</i> = 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<sup>®</sup>. 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 (<i>p</i> = 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.
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spelling doaj.art-be9cf32989da433a821e19bb3a24c7f82023-11-22T14:44:13ZengMDPI AGPharmaceuticals1424-82472021-08-0114984310.3390/ph14090843Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency DepartmentAnne Byriel Walls0Anne Kathrine Bengaard1Esben Iversen2Camilla Ngoc Nguyen3Thomas Kallemose4Helle Gybel Juul-Larsen5Baker Nawfal Jawad6Mads Hornum7Ove Andersen8Jesper Eugen-Olsen9Morten Baltzer Houlind10Department of Drug Design and Pharmacology, University of Copenhagen, 2100 Copenhagen, DenmarkDepartment of Drug Design and Pharmacology, University of Copenhagen, 2100 Copenhagen, DenmarkDepartment of Clinical Research, Copenhagen University Hospital—Amager and Hvidovre, 2650 Copenhagen, DenmarkDepartment of Drug Design and Pharmacology, University of Copenhagen, 2100 Copenhagen, DenmarkDepartment of Clinical Research, Copenhagen University Hospital—Amager and Hvidovre, 2650 Copenhagen, DenmarkDepartment of Clinical Research, Copenhagen University Hospital—Amager and Hvidovre, 2650 Copenhagen, DenmarkDepartment of Clinical Research, Copenhagen University Hospital—Amager and Hvidovre, 2650 Copenhagen, DenmarkDepartment of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, DenmarkDepartment of Clinical Research, Copenhagen University Hospital—Amager and Hvidovre, 2650 Copenhagen, DenmarkDepartment of Clinical Research, Copenhagen University Hospital—Amager and Hvidovre, 2650 Copenhagen, DenmarkDepartment of Drug Design and Pharmacology, University of Copenhagen, 2100 Copenhagen, DenmarkDiagnosis 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 (<i>n</i> = 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<sup>®</sup>. 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 (<i>p</i> = 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.https://www.mdpi.com/1424-8247/14/9/843acute kidney injuryearly biomarkerplasma neutrophil gelatinase-associated lipocalinsoluble urokinase plasminogen activator receptormedication optimizationolder patients
spellingShingle 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
Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department
Pharmaceuticals
acute kidney injury
early biomarker
plasma neutrophil gelatinase-associated lipocalin
soluble urokinase plasminogen activator receptor
medication optimization
older patients
title Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department
title_full Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department
title_fullStr Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department
title_full_unstemmed Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department
title_short Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department
title_sort utility of supar and ngal for aki risk stratification and early optimization of renal risk medications among older patients in the emergency department
topic acute kidney injury
early biomarker
plasma neutrophil gelatinase-associated lipocalin
soluble urokinase plasminogen activator receptor
medication optimization
older patients
url https://www.mdpi.com/1424-8247/14/9/843
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