Literature DB >> 27062515

Plasma Neutrophil Gelatinase-Associated Lipocalin diagnosed acute kidney injury in patients with systemic inflammatory disease and sepsis.

Azrina Md Ralib1, Mohd Basri Mat Nor1, John W Pickering2.   

Abstract

AIM: Sepsis is the leading cause of intensive care unit (ICU) admission. Plasma Neutrophil Gelatinase Associated-Lipocalin (NGAL) is a promising biomarker for acute kidney injury (AKI) detection; however, it is also increased with inflammation and few studies have been conducted in non-Caucasian populations and/or in developing economies. Therefore, we evaluated plasma NGAL's diagnostic performance in the presence of sepsis and systemic inflammatory response syndrome (SIRS) in a Malaysian ICU cohort.
METHODS: This is a prospective observational study on patients with SIRS. Plasma creatinine (pCr) and NGAL were measured on ICU admission. Patients were classified according to the occurrence of AKI and sepsis.
RESULTS: Of 225 patients recruited, 129 (57%) had sepsis of whom 67 (52%) also had AKI. 96 patients (43%) had non-infectious SIRS, of whom 20 (21%) also had AKI. NGAL concentrations were higher in AKI patients within both the sepsis and non-infectious SIRS cohorts (both P < 0.0001). The diagnostic area under curve for AKI was 0.81 (95%CI: 0.74 to 0.87). The optimal cut-off was higher in sepsis compared to non-infectious SIRS patients (454 versus 176 ng/mL). Addition of NGAL to a clinical model comprising age, pCr, medical admission category and SAPS II score increased the mean risk of those with AKI by 4% and reduced the mean risk of those without AKI by 3%.
CONCLUSIONS: Acute kidney injury is more common with sepsis than non-infectious SIRS. Plasma NGAL was diagnostic of AKI in both subgroups. The optimal cut-off for diagnosing AKI was higher in sepsis than in non-infectious SIRS. Addition of plasma NGAL improved the clinical model used to diagnose AKI.
© 2016 Asian Pacific Society of Nephrology.

Entities:  

Keywords:  Acute renal failure; clinical nephrology; inflammation; sepsis

Mesh:

Substances:

Year:  2017        PMID: 27062515     DOI: 10.1111/nep.12796

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


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