ArticleBMC infectious diseases2015
Urinary Neutrophil Gelatinase-Associated Lipocalin (NGAL) and proteinuria predict severity of acute kidney injury in Puumala virus infection.
Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- Article
- Glomerular Injury Is Associated with Severe Courses of Orthohantavirus Infection.Pathogens (Basel, Switzerland) · 2024Article
- Hemorrhagic Fever with Renal Syndrome Patients Exhibit Increased Levels of Lipocalin-2, Endothelin-1 and NT-proBNP.Life (Basel, Switzerland) · 2023Article
- Differences in the Susceptibility of Human Tubular Epithelial Cells for Infection with Orthohantaviruses.Viruses · 2023Article
- Expression Profile of Human Renal Mesangial Cells Is Altered by Infection with Pathogenic Puumala Orthohantavirus.Viruses · 2022Article
- Severity Biomarkers in Puumala Hantavirus Infection.Viruses · 2021Review
- Predictive value of pentraxin-3 on disease severity and mortality risk in patients with hemorrhagic fever with renal syndrome.BMC infectious diseases · 2021Article
- Mechanistic Aspects and Therapeutic Potential of Quercetin against COVID-19-Associated Acute Kidney Injury.Molecules (Basel, Switzerland) · 2020Review
- Cystatin C and α-1-Microglobulin Predict Severe Acute Kidney Injury in Patients with Hemorrhagic Fever with Renal Syndrome.Pathogens (Basel, Switzerland) · 2020Article
- Glycoprotein YKL-40 Is Elevated and Predicts Disease Severity in Puumala Hantavirus Infection.Viruses · 2019Article
- Article
- Assessing the Dynamics and Complexity of Disease Pathogenicity Using 4-Dimensional Immunological Data.Frontiers in immunology · 2019Article
- Bioclinical Test to Predict Nephropathia Epidemica Severity at Hospital Admission.Emerging infectious diseases · 2018Article
- High plasma resistin associates with severe acute kidney injury in Puumala hantavirus infection.PloS one · 2018Article
- Neutrophil Activation in Acute Hemorrhagic Fever With Renal Syndrome Is Mediated by Hantavirus-Infected Microvascular Endothelial Cells.Frontiers in immunology · 2018Article
- High Serum Procalcitonin Concentrations in Patients With Hemorrhagic Fever With Renal Syndrome Caused by Hantaan Virus.Frontiers in cellular and infection microbiology · 2018Article
- Effect of continuous renal replacement therapy on kidney injury molecule-1 and neutrophil gelatinase-associated lipocalin in patients with septic acute kidney injury.Experimental and therapeutic medicine · 2017Article
- Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNephropathia 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.
methodsWe 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.
resultsThe 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).
conclusionuNGAL 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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