Literature DB >> 24172823

Serum neutrophil gelatinase-associated lipocalin (NGAL) in patients with Shiga toxin mediated haemolytic uraemic syndrome (STEC-HUS).

Alexander Lukasz1, Jan Beneke, Jan Menne, Frank Vetter, Bernhard M W Schmidt, Mario Schiffer, Hermann Haller, Philipp Kümpers, Jan T Kielstein.   

Abstract

Neutrophil gelatinase-associated lipocalin (NGAL) is an increasingly used biomarker for acute kidney injury (AKI). Its utility in adult patients with AKI caused by Shiga toxin producing Escherichia coli infection (STEC)-associated haemolytic-uraemic syndrome (HUS), remains unknown. We aimed to evaluate the prognostic value of serum NGAL admission levels for the need of renal replacement therapy (RRT) in STEC-HUS patients. Baseline serum NGAL was determined by ELISA in 39 patients with STEC O104:H4 infection cared for at Hannover Medical School during the outbreak in Germany through May-July 2011. Patients with HUS had significant higher NGAL levels than healthy controls (379 [248 - 540] vs 39.0 [37.5-45] ng/ml, p < 0.0001). During clinical course, 24 patients required RRT at a median of five days after admission. NGAL admission levels were higher in patients requiring RRT (476 (344-639) ng/ml) compared to patients not requiring RRT (257 (196-426) ng/ml; p < 0.001). Unadjusted and adjusted logistic regression analyses identified NGAL as an independent predictor for need of RRT. In a combined model, a joint NGAL/AKIN classification approach improved the predictive accuracy for need of RRT over either marker alone. The combined categorical cut-off point defined by NGAL ≥ 330 ng/ml and presence of AKI (AKIN ≥ I) on admission correctly identified 20 of 24 patients requiring RRT (odds ratio 20, sensitivity 83%, specificity 80%, negative predictive value 75%, positive predictive value 87%). NGAL may serve as an adjunctive tool to improve risk prediction in patients with STEC-HUS.

Entities:  

Keywords:  Neutrophil gelatinase-associated lipocalin; Shiga toxin producing Escherichia coli; acute kidney injury; haemolytic-uraemic syndrome

Mesh:

Substances:

Year:  2013        PMID: 24172823     DOI: 10.1160/TH13-05-0387

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  8 in total

1.  Effects of Shiga toxin type 2 on a bioengineered three-dimensional model of human renal tissue.

Authors:  Teresa M DesRochers; Erica Palma Kimmerling; Dakshina M Jandhyala; Wassim El-Jouni; Jing Zhou; Cheleste M Thorpe; John M Leong; David L Kaplan
Journal:  Infect Immun       Date:  2014-10-13       Impact factor: 3.441

Review 2.  Escherichia coli 0157:H7 virulence factors and the ruminant reservoir.

Authors:  Anna M Kolodziejek; Scott A Minnich; Carolyn J Hovde
Journal:  Curr Opin Infect Dis       Date:  2022-06-01       Impact factor: 4.968

Review 3.  Public Health Research Resulting from One of the World's Largest Outbreaks Caused by Entero-Hemorrhagic Escherichia coli in Germany 2011: A Review.

Authors:  Elena Köckerling; Laura Karrasch; Aparna Schweitzer; Oliver Razum; Gérard Krause
Journal:  Front Public Health       Date:  2017-12-11

4.  Concomitant elevations of MMP-9, NGAL, proMMP-9/NGAL and neutrophil elastase in serum of smokers with chronic obstructive pulmonary disease.

Authors:  Sarra Bchir; Hela Ben Nasr; Sandrine Bouchet; Mohamed Benzarti; Abdelhamid Garrouch; Zouhair Tabka; Santos Susin; Karim Chahed; Brigitte Bauvois
Journal:  J Cell Mol Med       Date:  2016-12-22       Impact factor: 5.310

5.  Modeling Hemolytic-Uremic Syndrome: In-Depth Characterization of Distinct Murine Models Reflecting Different Features of Human Disease.

Authors:  Sophie Dennhardt; Wiebke Pirschel; Bianka Wissuwa; Christoph Daniel; Florian Gunzer; Sandro Lindig; Anna Medyukhina; Michael Kiehntopf; Wolfram W Rudolph; Peter F Zipfel; Matthias Gunzer; Marc Thilo Figge; Kerstin Amann; Sina M Coldewey
Journal:  Front Immunol       Date:  2018-06-25       Impact factor: 7.561

6.  Neutrophil gelatinase-associated lipocalin as predictor of acute kidney injury requiring renal replacement therapy: A systematic review and meta-analysis.

Authors:  Chunhua Xu; Shan Lin; Longyi Mao; Zesong Li
Journal:  Front Med (Lausanne)       Date:  2022-09-21

Review 7.  Biomarkers for prediction of renal replacement therapy in acute kidney injury: a systematic review and meta-analysis.

Authors:  Sebastian J Klein; Anna K Brandtner; Georg F Lehner; Hanno Ulmer; Sean M Bagshaw; Christian J Wiedermann; Michael Joannidis
Journal:  Intensive Care Med       Date:  2018-03-14       Impact factor: 17.440

Review 8.  Shiga Toxin-Associated Hemolytic Uremic Syndrome: A Narrative Review.

Authors:  Adrien Joseph; Aurélie Cointe; Patricia Mariani Kurkdjian; Cédric Rafat; Alexandre Hertig
Journal:  Toxins (Basel)       Date:  2020-01-21       Impact factor: 4.546

  8 in total

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