Urinary Neutrophil Gelatinase-Associated Lipocalin (NGAL) and proteinuria predict severity of acute kidney injury in Puumala virus infection

Abstract Background Nephropathia epidemica (NE) is a mild form of hemorrhagic fever with renal syndrome (HFRS) that is caused by the Puumala virus. Periodic outbreaks have been described in endemic areas, with a substantial number of previously healthy individuals developing acute kidney injury (AKI). There is a considerable diversity in the clinical course of the disease, and few patients require renal replacement therapy. Methods We tested whether urinary neutrophil gelatinase associated lipocalin (uNGAL), urine albumin/creatinine ratio (uACR), urine protein/creatinine ratio (uPCR), urine dipstick protein, C-reactive protein, procalcitonin, leukocyte and platelet count, determined on admission to the hospital, can predict the severity of AKI. Sixty-one patients were analyzed during admission in the emergency department. Results The variables most strongly associated with peak plasma creatinine concentration were uNGAL (β = 0.70, p <0.0001), uPCR (β = 0.64, p = 0.001), uACR (β = 0.61, p = 0.002), and dipstick proteinuria (β = 0.34, p = 0.008). The highest AUC-ROC to predict stage 3 AKI according to the acute kidney injury network’s (AKIN) classification was seen for uNGAL (0.81, p = 0.001). Conclusion uNGAL accurately predicts the severity of AKI in NE. This could help emergency room physicians predict disease severity and allow for initial risk stratification.

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PID https://www.doi.org/10.15496/publikation-9132
PID https://www.doi.org/10.6084/m9.figshare.c.3613676.v1
PID https://www.doi.org/10.6084/m9.figshare.c.3613676
URL http://dx.doi.org/10.6084/m9.figshare.c.3613676.v1
URL http://dx.doi.org/10.15496/publikation-9132
URL http://dx.doi.org/10.6084/m9.figshare.c.3613676
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Access Right Closed Access
Embargo End Date 2016-01-15
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Author Bunz, Hanno
Author Weyrich, Peter
Author Peter, Andreas
Author Baumann, Dorothea
Author Tschritter, Otto
Author Guthoff, Martina
Author Beck, Robert
Author Jahn, Gerhard
Author Artunc, Ferruh
Author Hans-Ulrich Häring
Author Heyne, Nils
Author Wagner, Robert
Contributor University, My
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Collected From Datacite
Hosted By figshare
Publication Date 2015-01-01
Publisher Biomed Central Ltd
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Language English
Resource Type Collection; Other ORP type
keyword FOS: Mathematics
keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Clinical medicine
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::78ea51aaf53cc39244e7068024cbc3d7
Author jsonws_user
Last Updated 19 December 2020, 09:15 (CET)
Created 19 December 2020, 09:15 (CET)