Sage Journals: Discover world-class research

Abstract

Background

The early prediction of acute kidney injury (AKI) by current clinical and laboratory methods remains inadequate. Neutrophil gelatinase-associated lipocalin (NGAL) has emerged as a promising non-invasive biomarker of kidney injury. We systematically reviewed the utility of plasma and urine NGAL measurements for the prediction of AKI in humans.

Methods

We searched MEDLINE, PubMed and EMBASE for human biomarker studies that included NGAL (January 2005 to October 2013). Studies reporting on the use of NGAL for the early prediction and prognosis of AKI were analysed in three common clinical settings: cardiac surgery, critical illness and kidney transplantation.

Results

We identified 58 manuscripts that met our inclusion and exclusion criteria, reporting on more than 16,500 patients. Following cardiac surgery, NGAL measurement in over 7000 patients was predictive of AKI and its severity, with an overall area under the receiver operator characteristic curve (AUC) of 0.82–0.83. Similar results were obtained in over 8500 critically ill patients. In over 1000 patients undergoing kidney transplantation, NGAL measurements predicted delayed graft function with an overall AUC of 0.87. In all three settings, NGAL significantly improved the prediction of AKI risk over the clinical model alone.

Conclusions

We identified several studies that collectively strongly support the use of NGAL as a biomarker for the prediction of AKI. However, we noted some limitations, including lack of published studies that adhere to diagnostic study guidelines, heterogeneity in AKI definition, the lack of uniformly applicable cut-off values and variability in the performance of commercially available NGAL assays.

Keywords

Acute kidney injury lipocalin biomarker

Introduction

Biology of NGAL

Human neutrophil gelatinase-associated lipocalin (NGAL, also known as lipocalin 2, siderocalin or 24p3) was originally isolated from the supernatant of activated neutrophils and identified as a polypeptide covalently bound to gelatinase.^1,2 NGAL is expressed in a variety of human tissues, including lung, liver and kidney, in various pathologic states.^3–5 Human NGAL consists of a single disulphide-bridged polypeptide with a molecular weight of 25 kDa.¹ While the majority of NGAL is in a monomeric form, NGAL also occurs as dimers and trimers, as well as in a complex with neutrophil gelatinase.^1,6 The 25 kDa monomeric NGAL form is secreted by injured kidney tubule epithelial cells, whereas the dimeric form is the predominant form secreted by neutrophils.^7,8 The major ligands for NGAL are siderophores,^9,10 which are ferric ion-specific chelating compounds.^11–14 The iron status of NGAL is a critical determinant of biological activity. Iron-containing NGAL binds to cell surface receptors such as megalin, gets internalized and releases its bound iron. The increased intracellular iron concentration drives the regulation of iron-dependent genes.^15,16 On the contrary, iron-lacking NGAL binds to the same receptors, but chelates intracellular iron and shuttles it to the extracellular space. NGAL has been implicated in multiple biological processes, including attenuation of apoptosis¹⁷ and differentiation of renal tubule epithelial cells and nephrons.¹⁶ During nephrogenesis, the NGAL:siderophore:iron complex converts renal progenitors into epithelial tubules.¹⁸

Preclinical studies identified NGAL to be one of the most upregulated genes and proteins in the kidney very early after acute kidney injury (AKI) in animal models.^19–21 NGAL protein expression was detected predominantly in tubule epithelial cells that were undergoing proliferation and regeneration, suggesting a role in the repair process.²⁰ Serendipitously, NGAL protein was also detected in the urine and plasma in animal models of AKI, where it preceded the increase in plasma creatinine concentrations. The urine NGAL is derived predominantly from epithelial cells of the distal nephron, although a fraction may come from the systemic pool escaping reabsorption due to proximal tubular injury.¹⁸ Plasma NGAL originates not only from the damaged kidneys (via tubular back-leak) but also from extrarenal organs.^4,22

The clinical need for better biomarkers of AKI

An estimated 5–10% of all hospitalized patients and up to 40% of critically ill patients experience an episode of AKI during the course of their illness.^23,24 The complications of AKI include increased susceptibility to infections, extrarenal organ damage, the development of chronic kidney disease (CKD) and an increased rate of hospital re-admission.^25,26 To estimate the individual patient’s risk of developing AKI, clinical judgement integrates many variables, including the magnitude and course of the underlying renal insult, the increase in functional markers of glomerular filtration rate such as plasma creatinine and urea, and the decline in urine output.²⁷ However, little progress has been made in methods for the early laboratory diagnosis of AKI, in part due to the reliance on functional markers such as plasma creatinine in daily practice. Many factors can modulate plasma concentrations of creatinine, including age, race, gender, muscle mass, protein intake, hydration status, and certain medications.²⁸ A single measurement of plasma creatinine cannot differentiate between normal renal function, AKI, chronic kidney disease (CKD), and transient azotaemia with dehydration.²⁹ Following an acute injury, the rise in plasma creatinine concentration is delayed by several hours to days, precluding the timely institution of potential therapies.²⁸

NGAL fulfils many of the characteristics important for a useful AKI biomarker. NGAL represents a significant component in the pathophysiology of the disease. The concentration of NGAL in urine or plasma rises rapidly in a dose-dependent manner that is proportional to the degree of damage. NGAL is expressed early after kidney damage, when such injury is still potentially limitable or reversible. NGAL further allows differentiation between the causes of AKI (intrinsic versus transient ‘pre-renal’ AKI), risk stratification, therapy monitoring and prognostication with respect to the need for acute dialysis, duration of hospital stay and mortality. The marker is noninvasive, clinically actionable and reliably measurable on available standardized clinical platforms. Furthermore, NGAL incrementally adds value to the baseline clinical risk assessment, potentially enabling physicians to intervene early to limit the extent of renal injury.³⁰ Clinical studies that substantiate these statements are reviewed below.

Methods

We searched MEDLINE, PubMed and EMBASE databases for human biomarker studies that included NGAL (January 2005 to October 2013). Studies were eligible to be included in this review if they investigated plasma or urine NGAL for the prediction of AKI in at least 25 human subjects. Studies were analysed in three common clinical settings: cardiac surgery, critical illness and kidney transplantation. Within each group, studies were divided based on whether plasma or urine NGAL was measured. The primary endpoints abstracted from each study included the definition of AKI used, area under the receiver operator characteristic curve (AUC), sensitivity, specificity, cut-off values and the specific assay used. Total AUC, sensitivity and specificity values were calculated as raw (un-weighted) averages of the individual study data in each clinical setting.

Results

Using a creatinine-based AKI definition and a standardized timing of NGAL measurement in relation to the occurrence of renal insult, a meta-analysis published in 2009 including data from 19 publications with 2538 patients reported an AUC of 0.80 for the prediction of AKI and an AUC of 0.78 for subsequent initiation of renal replacement therapy (RRT).³¹ The sensitivity and specificity of NGAL, measured days prior to creatinine-based AKI diagnosis, ranged on average between 75% and 95%, respectively.³¹ We now report on a total of 58 manuscripts published since 2005 that met our inclusion and exclusion criteria. The value of urine and blood NGAL has now been investigated in more than 16,500 patients undergoing cardiac surgery, kidney transplantation or critical illness (Tables 1 –5). Nearly five years after the initial meta-analysis,³¹ the overall value of NGAL for the prediction of AKI across various patient populations remains essentially unchanged, with similar sensitivity and specificity values as reported previously. In these settings, NGAL concentrations measured in urine^29,32, ^{33,35,43,44,59,63} or plasma^43,49,68 increase with increasing severity of AKI, as would be expected for a predictive biomarker.

Table 1.

Urine NGAL for the early prediction of acute kidney injury after cardiac surgery.

Reference	Patients	AKI events	AKI definition	AUC	Sensitivity (%)	Specificity (%)	Cut-off (ng/mL)	Assay
Mishra et al.³²	71 children	20	RIFLE creatinine R or worse	0.99	100	98	>50	ELISA (Antibody Shop, Gentofte, Denmark)
Wageneret al.³³	81 adults	16	RIFLE creatinine R or worse	0.80	73	78	>210	ELISA (Antibody Shop)
Bennett et al.³⁴	196 children	99	RIFLE creatinine R or worse	0.95	82	90	>100	Standardized Clinical Platform (ARCHITECT®)
Koyner et al.³⁵	72 adults	34	≥25% creatinine rise or RRT within first 3 days	0.71	67	62	>300 ng/mg uCrea	ELISA (Antibody Shop)
Wagener et al.³⁶	426 adults	85	≥50% creatinine rise or >0.3 mg/dL during first 48 h	0.61	39	78	>65	ELISA (Antibody Shop)
Tuladhar et al.³⁷	50 adults	9	>0.5 mg/dL creatinine rise	0.96	90	78	>390 ng/mmol	ELISA (Antibody Shop)
Han et al.³⁸	90 adults	36	>0.3 mg/dL or 2–3-fold creatinine rise within first three days	0.65	71	39	>460 ng/mg uCrea	ELISA (Antibody Shop)
Liangos et al.³⁹	103 adults	13	≥50% creatinine rise during first three days	0.50	67	11	>170 ng/mg uCrea	Immunoassay (Quantikine®, R&D Systems)
Che et al.⁴⁰	30 adults	15	RIFLE creatinine R or worse	0.85	84	80	>50 ng/mg uCrea	ELISA (R&D Systems)
Heise et al.⁴¹	50 adults	38	AKIN criteria	0.77	82	78	>20	ELISA (Rapid Kit) (BioPorto Diagnostics, Gentofte, Denmark)
Koyner et al.⁴²	123 adults	46	AKIN criteria (stage 3)	0.88	–	–	–	ELISA (Antibody Shop)
Krawczeski et al.⁴³	374 children	112	AKIN or ≥50% creatinine rise within 48 h	0.92	85	86	>50	ELISA (AntibodyShop, Grusbakken, Denmark)
Krawczeski et al.⁴⁴	220 children	60	≥50% creatinine rise during first 48 h	0.90	88	83	–	ELISA (AntibodyShop, Grusbakken, Denmark)
Xin et al.⁴⁵	33 adults	9	>50% creatinine rise in first 48 hrs or urine output <0.5 mL/kg/hr for>6 h	0.88	81	78	>250	ELISA (Antibody Shop)
Parikh et al.⁴⁶	311 children	53	RRT or doubling in creatinine	0.71	42	85	>70	Standardized Clinical Platform (ARCHITECT®)
Parikh et al.⁴⁷	1219 adult	60	RRT or doubling in creatinine	0.67	46	81	>100	Standardized Clinical Platform (ARCHITECT®)
Peco-Antic et al.⁴⁸	112 children	18	>25% decrease in estimated creatinine clearance	0.93				ELISA (R&D Systems)
Liebetrau et al.⁴⁹	141 adults	47	KDIGO definition	0.90				Standardized Clinical Platform (ARCHITECT®)
Zheng et al.⁵⁰	58 children	29	AKIN definition	0.86	79	90	54	ELISA (R&D Systems)
Liu et al.⁵¹	109 adults	26	RIFLE R or worse	0.87	81	83	34	ELISA (R&D Systems)
Total	3869	825	–	0.82	74	75	–	–

Note: AKI was defined using various criteria. The RIFLE classification of AKI consists of three graded levels of injury (Risk, Injury and Failure) based upon the magnitude of change in serum creatinine or urine output, and two outcome measures (Loss and End-stage renal disease).⁵² The pRIFLE criteria are a modification based on changes in estimated creatinine clearance and urine output.⁵³ Another modification is the Acute Kidney Injury Network (AKIN) criteria, in which stages 1–3 resemble the R-F stages of the RIFLE criteria.⁵⁴ Serum and urine creatinine concentrations have been given as stated in the original manuscripts; 1 mg/dL creatinine = 88.4 µmol/L (e.g. 0.3 mg/dL = 26.5 µmol/L, 0.5 mg/dL = 44.2 µmol/L) and 1 mg of urine creatinine = 0.884 mmol.

RRT: renal replacement therapy; NGAL: neutrophil gelatinase-associated lipocalin; KDIGO, kidney disease improving global outcomes; ELISA, enzyme-linked immunosorbent assay.

Table 2.

Blood NGAL for the early prediction of acute kidney injury after cardiac surgery.

Reference	Patients	AKI events	AKI definition	AUC	Sensitivity (%)	Specificity (%)	Cut-off (ng/mL)	Assay
Mishra et al.³²	71 children	20	RIFLE creatinine R or worse	0.90	50	100	>50	ELISA (Antibody Shop)
Dent et al.⁵⁵	120 children	45	RIFLE creatinine R or worse	0.96	84	94	>150	Triage®point of care device (Biosite Inc.)
Haase-Fielitz et al.⁵⁶	100 adults	23	RIFLE creatinine R or worse	0.80	79	78	>150	Triage®point of care device (Biosite Inc.)
Tuladhar et al.³⁷	50 adults	9	>0.5 mg/dL creatinine rise	0.85	80	67	>430	ELISA (Antibody Shop)
Prabhu et al.⁵⁷	30 adults	8	RIFLE creatinine R or worse	0.98	100	91	>230	ELISA (Antibody Shop)
Perry et al.⁵⁸	879 adults	75	RIFLE creatinine R or worse	0.64	39	82	>350	Triage®point of care device (Biosite Inc.)
Krawczeski et al.⁴³	374 children	112	AKIN or ≥50% creatinine rise within 48 h	0.94	90	88	>45	ELISA (Antibody Shop)
Parikh et al.⁴⁶	311 children	53	RRT or doubling in creatinine	0.56	27	81	>260	Triage®point of care device (Biosite Inc.)
Parikh et al.⁴⁷	1219 adults	60	RRT or doubling in creatinine	0.70	50	82	>290	Triage®point of care device (Biosite Inc.)
Fadel et al.⁵⁹	40 children	32	pRIFLE	0.95	100	90.5	>100	ELISA (BioVendor, Czech Republic)
Total	3194	437	–	0.83	70	85	–	–

Note: For definitions see footnote of Table 1.

Table 3.

Urine NGAL for the early prediction of acute kidney injury in the critical care or emergency department settings.

Reference	Patients	AKI events	AKI definition	AUC	Sensitivity (%)	Specificity (%)	Cut-off (ng/mL)	Assay
Zappitelli et al.⁶⁰	140 children	106	pRIFLE	0.78	54	97	>1.5 ng/mg uCrea	ELISA (Antibody Shop)
Nickolas et al.²⁹	635 adults	30	RIFLE creatinine R or worse	0.95	90	100	>130	ELISA (Antibody Shop)
Siew et al.⁶¹	451 adults	150	AKIN	0.71	78	70	–	ELISA (Antibody Shop)
Martensson et al.^58,62	45 adults	18	RIFLE and AKIN	0.86	71	100	>70 ng/mg uCrea	RIA
De Geus et al.⁶³	632 adults	171	RIFLE F	0.88	89	70	>250	Triage®point of care device (Biosite Inc.)
Makris et al.^60,64	31 adults	11	RIFLE creatinine R or worse	0.98	91	95	>25	ELISA (Rapid Kit) (BioPorto Diagnostics, Gentofte, Denmark)
Endre et al.⁶⁵	529 adults	147	RIFLE creatinine R or worse	0.66	40	80	>40 ng/mg uCrea	ELISA (AntibodyShop, Grusbakken, Denmark)
Singer et al.⁶⁶	145 adults	75	RIFLE creatinine R or worse	0.87	75	88	>105	Standardized Clinical Platform (ARCHITECT®)
Du et al.⁶⁷	252 children	18	pRIFLE (pRIFLE I)	0.80	–	–	–	ELISA (not specified)
Vaidya et al.⁶⁸	204 adults	102	RIFLE creatinine R or worse	0.89	80	96	>80	Microbead-based assay (Bio-Rad, Hercules, CA, USA)
Nickolas et al.⁶⁹	1635 adults	96	RIFLE creatinine R or worse	0.81	68	81	>100	Standardized Clinical Platform (ARCHITECT®)
Royakkers et al.⁷⁰	140 adults	31	RIFLE creatinine R	0.48	ELISA (R&D Systems)
Cho et al.⁷¹	145 adults	54	AKIN criteria	0.77	74	70	25	ELISA (AntibodyShop, Grusbakken, Denmark)
Schinstock et al.⁷²	363 adults	76	AKIN criteria	0.7	65	65	43	ELISA (AntibodyShop, Grusbakken, Denmark)
Total	5347	1085	–	0.80	73	84	–	–

Note: For definitions see footnote of Table 1.

Table 4.

Blood NGAL for the early prediction of acute kidney injury in the critical care or emergency department settings.

Reference	Patients	AKI events	AKI definition	AUC	Sensitivity (%)	Specificity (%)	Cut-off (ng/mL)	Assay
Martensson et al.⁶²	45 adults	18	RIFLE and AKIN	0.85	83	86	>120	RIA
De Geus et al.⁶³	632 adults	171	RIFLE F	0.86	82	70	>250	Triage®point of care device (Biosite Inc.)
Wheeler et al.⁷³	143 children	22	creatinine >2 mg/dL, BUN>100 mg/dL or need for RRT	0.68	86	40	>140	ELISA (Antibody Shop)
Cruz et al.⁷⁴	301 adults	133	RIFLE R or worse	0.78	73	81	>150	Triage®point of care device (Biosite Inc.)
Shapiro et al.⁷⁵	661 adults	24	>0.5 mg/dL creatinine rise or RRT within 72 h	0.82	96	51	>150	Triage®point of care device (Biosite Inc.)
Constantin et al.⁷⁶	88 adults	42	RIFLE creatinine R or worse	0.92	82	97	>155	Triage®point of care device (Biosite Inc.)
Royakkers et al.⁷⁰	140 adults	31	RIFLE R	0.53				ELISA (R&D Systems)
Pickering et al.⁷⁷	528 adults	213	RIFLE	0.79				Triage®point of care device (Biosite Inc.)
Soto et al.⁷⁸	616 adults	130	RIFLE and AKIN	0.89	80	86	150	Triage®point of care device (Biosite Inc.)
Total	3154	784	–	0.79	84	73	–	–

Note: For definitions see footnote of Table 1.

Table 5.

NGAL for the prediction of delayed graft function.

Reference	Patients	AUC	Sensitivity (%)	Specificity (%)	Cut-off (ng/mL)	Assay	Source
Mishra et al.⁸²	25	Children	–	–	–	–	NGAL staining	Biopsies
Parikh et al.⁸³	53	Adults + children	0.90	90	83	>1000 ng/mg creatinine	ELISA (Antibody Shop)	Urine
Lebkowska et al.⁸⁴	41	Adults	0.99	100	85	–	ELISA (Antibody Shop)	Blood
Hall et al.⁸⁵	91	Adults	0.81	77	74	>350	ELISA (Antibody Shop)	Urine
Hollmen et al.⁸⁶	176	Adults	0.75	68	73	>560	Standardized Clinical Platform (ARCHITECT®)	Urine
Hollmen et al.⁸⁷	275	Adults	0.60	34.8	79.4	>20	Standardized Clinical Platform (ARCHITECT®)	Urine and blood
Kusaka et al.⁸⁸	67	Adults	0.99	91	97	>500	Standardized Clinical Platform (ARCHITECT®)	Blood
Bataille et al.⁸⁹	41	Adults	0.97	93.3	88.5	>400	Triage®point of care device	Blood
Magnusson et al.⁹⁰	111	Adults	–	–	–	–	ELISA (Antibody Shop)	Blood
Heyne et al.⁹¹	182	Adults	0.98	100	93	>100	ELISA (Antibody Shop)	Urine
Lee et al.⁹²	59	Adults	0.86	78.6	77.8	>233	ELISA (Antibody Shop)	Blood
Rahimzadeh et al.⁹³	27	Children	0.95	100	95.5	>175	ELISA (not specified)	Blood + urine
Rostami et al.⁹⁴	64	Adults	0.71	72	67	204	ELISA (Antibody Shop)	Urine
Lee et al.⁹⁵	59	Adults	0.86	77	78	233	ELISA (Antibody Shop)	Blood
Total (for DGF)	1079	0.87	82	83	–	–	–

NGAL for the prediction of AKI after cardiac surgery

NGAL measured in more than 7000 patients after cardiac surgery can predict the subsequent development of AKI (AUC 0.82–0.83, Tables 1 and 2). Most recently, the multicentre TRIBE (Translational Research Involving Biomarkers and Endpoints) study prospectively assessed the value of NGAL in 1219 adults⁴⁷ and 311 children⁴⁶ undergoing cardiac surgery. In both populations, NGAL concentrations measured in urine or plasma peaked within 6 h after surgery and significantly improved risk prediction over the clinical models alone. However, compared to the excellent predictive indices reported in previous single-centre studies,^{32,34,43,44,55} Parikh et al. demonstrated lower values for the prediction of AKI in children, defined as doubling in creatinine or the need for acute RRT (AUC approximately 0.7) and lower cut-off values.⁴⁶ The reasons for this discrepancy may include the different patient populations (exclusion of neonatal patients), differences in assay platforms and prolonged sample storage times compared to earlier single-centre studies.^{32,34,43,44,55}

The importance of the timing of biomarker measurement after cardiac surgery has recently been reported by Krawczeski et al.⁴⁴ These authors investigated four urinary AKI biomarkers in a cohort of 220 children without pre-existing CKD and other major comorbidities.⁴⁴ They found a temporal relationship of the predictive value of these biomarkers and their combinations. Specifically, urine NGAL was the only biomarker with predictive value as early as 2 h postoperatively, whereas the other biomarkers had no value at this early time point. The predictive value of urine NGAL was excellent (AUC >0.9) and independent of the timing of its measurement.

NGAL for the prediction of AKI in the critically Ill

NGAL has been measured in more than 8500 critically ill patients or in patients admitted in the emergency department, with an excellent overall predictive performance (AUC 0.79-0.80, Tables 3 and 4). In one of the largest recent studies, NGAL measured at ICU admission predicted the development of severe AKI similarly to serum-creatinine-derived estimated glomerular filtration rate (eGFR).⁶³ However, when patients with eGFR<60 mL/min/1.73 m² at ICU admission were excluded, plasma (AUC 0.75) and urine NGAL (AUC 0.79) displayed diagnostic superiority over serum creatinine (AUC 0.65) and eGFR (AUC 0.67) for predicting AKI.⁶³ Thus, the accuracy of NGAL in predicting AKI is highest in patients with normal kidney function prior to the acute illness.

Martensson and colleagues studied the impact of inflammation on NGAL concentrations in plasma and urine in patients with systemic inflammatory response syndrome, severe sepsis and septic shock with and without AKI.⁶² In this cohort, both plasma (AUC 0.85) and urine NGAL (AUC 0.86) were good predictors of AKI developing within the subsequent 12 h. However, the ability of plasma NGAL to predict AKI in patients with septic shock was less robust (AUC 0.67) compared to urine NGAL (AUC 0.86). In another study including 661 patients with suspected sepsis, plasma NGAL was superior to plasma creatinine in the prediction of creatinine-based AKI and mortality.⁷⁵ Plasma NGAL concentrations of greater than 150 ng/mL were 96% sensitive and 51% specific for AKI.⁷⁵ In a recent multicentre study investigating five urinary biomarkers in 1635 emergency department patients at the time of hospital admission, NGAL was the most useful biomarker (81% specificity, 68% sensitivity at a 104 ng/mL cut-off) and predictive of the severity and duration of AKI.⁶⁹

NGAL for the prediction of AKI after kidney transplantation

AKI due to delayed graft function (DGF) complicates 5–10% of live donor transplants.^79,80 Recipients of deceased donor kidneys develop DGF in up to 50% of cases, implying the need for haemodialysis during the first week after kidney transplantation.⁷⁹ DGF results in increased risk of acute rejection episodes, and decreased long-term survival.⁸¹ Clinical studies investigating NGAL as a biomarker for DGF include data from 1079 patients after renal transplantation (Table 5). NGAL measured 6–12 h after kidney transplantation showed an overall excellent performance (AUC 0.87, sensitivity 82% and specificity 82%) for the prediction of DGF (Table 5).

NGAL staining intensity obtained in deceased donor kidney biopsy samples within 1 h of vascular anastomosis predicted the degree of AKI and correlated with peak postoperative serum creatinine as well as RRT requirement which occurred 2–3 days later.⁸² In another study, urine NGAL measured on the day of kidney transplantation identified patients with severe kidney injury and inferior long-term organ survival, and allowed for prediction of DGF as well as prolonged DGF, even in patients with good urine output and decreasing creatinine.⁸⁶ In 41 patients on haemodialysis prior to kidney transplant, plasma NGAL decreased significantly one day after successful kidney transplantation, prior to a fall in functional renal markers such as serum cystatin C or creatinine.⁸⁴ In a large study by Parikh and colleagues, urine NGAL measured on day 0 of deceased donor kidney transplantation predicted DGF earlier than other clinical scores and markers that are currently in use.⁸³ NGAL concentrations also showed excellent separation at nearly every time point between recipients with DGF, slow graft function and immediate graft function. Adding NGAL measurements significantly improved the risk prediction of the current clinical model for the diagnosis of DGF.⁸⁵

Discussion

Critical appraisal of the current status of NGAL as a biomarker of AKI

From 58 manuscripts that examined more than 16,500 patients, we identified collective support for the use of NGAL as a biomarker of AKI. Irrespective of the clinical setting, both urine and plasma NGAL were predictive of AKI and its severity, with an overall AUC of 0.79–0.87. More importantly, NGAL significantly improved the prediction of AKI risk over the clinical model alone in all three clinical settings investigated. In comparing urine and plasma, the availability of biofluid and assay platform will likely be the primary determinants of whether urine or plasma NGAL will be measured in each specific setting of AKI.

However, none of the published studies has paid adequate attention to stringent guidelines and tools for assessing the accuracy of reporting biomarker studies, such as Standards for Reporting Studies of Diagnostic Accuracy (STARD),⁹⁶ Quality Assessment of Diagnostic Accuracy Studies(QUADAS)⁹⁷ and Strengthening the Reporting of Observational studies in Epidemiology(STROBE)⁹⁸ guidelines for observational cohort studies. The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy and to allow readers to assess the potential for bias in the study and its generalisability. The STARD criteria are not solely a quality assessment tool but rather a prospective tool used to plan a well-designed study. By using the STARD checklist⁹⁶ during the design phase, study errors such as selection bias or overlap between the index test (e.g. biomarker) and reference test (e.g. plasma creatinine) findings can be minimized. Quality lists such as QUADAS⁹⁷ are used to retrospectively evaluate the methodological rigour of a completed study investigating the diagnostic accuracy of a test or measure. Researchers should be aware of such guidelines when planning future biomarker studies and interpreting the results of such studies. In addition, there has been some heterogeneity in the reported predictive value of NGAL in part depending on the AKI definition,⁹⁹ conditions of sample storage,¹⁰⁰ the time point of measurement⁴⁴ or the assay used.

The concept of outcomes in ‘biomarker-positive, creatinine-negative’ patients has recently been explored. There are two studies enrolling about 4000 cardiac surgical, critically ill or emergency department patients who were grouped according to their NGAL and serum creatinine (sCrea) status (NGAL−/sCrea−, NGAL+/sCrea−, NGAL−/sCrea+, NGAL +/sCrea+).^69,101 Both studies found that measurement of the concentrations of NGAL complemented the information obtained by measurement of creatinine concentrations in establishing the diagnosis of AKI and predicting prognosis. A substantial proportion of patients (15–20%) had increased NGAL concentrations even in the absence of a rise in serum creatinine concentration. This previously undetectable condition (‘subclinical AKI’) was associated with a 2–3-fold increased risk of death or the need for RRT compared to that of patients in whom serum creatinine concentration was not increased. Notably, even in patients with significant loss of renal function, measurement of tubule damage biomarker levels still added prognostic information, as patients with increased concentrations of both NGAL and serum creatinine displayed by far the worst prognosis.

Overall, the data support the view that measurement of tubule damage markers such as NGAL results in substantial added value to serum creatinine measurements. Based on the available data, an NGAL cutoff value of approximately 100 ng/mL, measured on a standardized clinical laboratory platform, appears to be useful for ruling out AKI in those with normal baseline kidney function whereas a cut-off value of >150 ng/mL can be used as diagnostic for AKI.^29,46,69,74 A potential cut-off value for the differentiation of prerenal azotaemia from intrinsic AKI is in the range of 100 ng/mL.^29,69 The concept of NGAL cutoff values has recently been re-examined for patients admitted from the emergency department setting.⁷⁸ In this prospective study of 616 patients, plasma NGAL measured using a point-of-care clinical platform accurately predicted intrinsic AKI and its severity. However, a discrete plasma NGAL cut-off for dichotomizing between AKI and non-AKI could not be identified. Instead, a grey zone of plasma NGAL concentrations (>97 ng/mL to <133 ng/mL) was associated with a moderate risk for AKI. Patients whose plasma NGAL concentrations exceeded the grey zone were found to have a 10-fold greater risk of AKI. Thus, patients who are at risk for AKI based on clinical presentation would benefit from point-of-care plasma NGAL measurements. Irrespective of serum creatinine concentrations, patients with plasma NGAL concentrations that exceed the grey zone levels (>133 ng/mL) could be triaged and managed as cases of true intrinsic AKI. Patients in the grey zone of plasma NGAL concentrations who have clinical AKI risk factors (older age, CKD, cardiovascular disease) should also be considered at high risk for intrinsic AKI. Additional cut-offs for blood and urine NGAL and their bedside utility are forthcoming and will be in part determined by the clinical setting, regulatory intended use guidelines, platform standardization and interlaboratory calibration.

Given the above considerations, NGAL may complement a standardized diagnostic approach to AKI, and help clinicians improve their ability to make an early AKI diagnosis. Markers of renal function will likely remain important even after tubule damage markers are fully established. Glomerular filtration markers such as serum creatinine or cystatin C are still valuable for the diagnosis and quantification of any excretory function loss (e.g. for drug dosing) and prognosis (e.g. for development or deterioration of CKD). Urine output still represents a useful criterion for adjustments to fluid balance, and for the commencement or ending of RRT. Specifically in the case of kidney transplant recipients, the degree of injury and the likelihood of DGF, determined during the first postoperative days by NGAL concentrations, could guide protocol transplant biopsy decisions in addition to the frequency of early follow-up visits. Future research should focus on the question whether NGAL could help to distinguish between acute rejection and nephrotoxicity due to medication (e.g. calcineurin inhibitors) in patients after renal transplantation.

NGAL clinical analytical platforms, assays and assay performances

A variety of immunoassays and clinical laboratory platforms are available for the measurement of NGAL in urine or blood. There are currently three clinical analytical platforms which provide the test result in 10 to 35 min. These include a blood point-of-care immunoassay (Alere Triage® NGAL test), a urine immunoassay developed for a single analytical platform (ARCHITECT analyser, Abbott Diagnostics) and a particle-enhanced turbidimetric immunoassay for the determination of NGAL in both urine and blood on a variety of automated clinical chemistry analysers (NGAL Test™, BioPorto Diagnostics). All three tests are CE-marked and launched for diagnostic use in Europe, and currently pending FDA approval for diagnostic use in the USA (Table 6).

Table 6.

Analytical methods of NGAL measurement.

AlereTriage® NGAL test	ARCHITECT Urine NGAL assay	NGAL Test™	NGAL Rapid ELISA Kit	NGAL ELISA Kit	Lipocalin-2/NGAL ELISA
Company	BiositeInc/Alere	Abbott Diagnostics	Bioporto	Bioporto	Argutus Medical	R&D/BioVendor
Method	Point-of-care fluorescence immunoassay	Chemiluminescentmicroparticle immunoassay (CMIA)	Particle-enhanced turbidimetric immunoassay (PETIA)	ELISA	ELISA	ELISA
Material	EDTA anti-coagulated whole blood or plasma sample	Urine	Urine, heparin and EDTA plasma	Urine, plasma or serum	Urine, serum, and cell culture supernatant	Urine, plasma or serum
Sample volume	150–250 µL	50 µL	5 µL	10 µL/well	10 µL/well	5–10 µL/well
Measurement time	15 min	35 min	10 min	1 h	3.5 h	3.5 h
Measuring range	15–1300 ng/mL	10–1500 ng/mL	25–5000 ng/mL	2–2000 ng/mL	0.4–1000 ng/mL	0.3–1000 ng/mL
Analyzer	Alere Triage®MeterPro	ARCHITECT analyzer (i2000/i2000SR/i4000SR)	Roche Cobasc501/c502/6000 Roche Hitachi Modular P Hitachi 917 Beckman Coulter AU640 Abbott Architect Abbott Aeroset Siemens ADVIA 1800	–	–	–
Availability	CE marked (not available in the USA)	CE marked (not available in the USA)	CE marked (pending FDA (Food and Drug Administration) approval for diagnostics use in the USA)	For in vitro diagnostic use in selected countries (US: for research use only)	For research use only	For research use Only

The point-of-care Triage® NGAL test performed on the Triage Meter can process a single sample. Using this device, plasma NGAL concentration was found to be an excellent early predictive biomarker of AKI, morbidity and mortality in various clinical settings.^55,56,74,76 High correlation between research ELISA’s and the Triage® NGAL device has been reported.⁵⁵

The Abbott ARCHITECT analyser can process large numbers of samples and this urine NGAL assay proved to be precise and reproducible including between days and between reagent lots.¹⁰⁰ There was also good agreement with a commercially available ELISA assay (Bioporto) as well as good short-term sample stability at 2–8℃. However, for longer-term storage samples should be kept at −70℃ or colder.¹⁰⁰ Urine NGAL concentrations measured by the ARCHITECT assay were found to be highly correlated with research-based ELISA measurements,³⁴ and an excellent early predictive biomarker of AKI in several clinical settings.^{34,46,47,66,69,86,87}

The NGAL Test™ runs on open channels of most biochemistry analysers, effectively giving almost any laboratory immediate access to a method to measure NGAL. However, data using this system on standardized clinical platforms are not available at the present time.

A recent study has compared the analytical performance of these assays in 68 urine samples.¹⁰² Imprecision, parallelism, recovery selectivity, limit of quantitation, interference, hook effect and interassay agreement were determined. The ARCHITECT urine NGAL assay on i2000SR demonstrated satisfactory performance for all parameters tested. Problems were identified with limit of quantitation for the NGAL Test™ on the Siemens ADVIA® 1800 platform.¹⁰² Thus, variability may exist between NGAL assays in terms of their performance, and this should be taken into account when interpreting results of urinary NGAL testing.

Recently, it was shown that the NGAL monomer is the predominant form secreted by injured distal tubule epithelial cells, whereas the dimer is the predominant form secreted by neutrophils.^7,8 Assays that specifically detect the AKI-specific monomeric form are expected to outperform assays that detect multiple forms.⁶⁹ Cai and colleagues investigated the effect of antibody configuration on assay performance and found that the epitope specificities used in the ELISA’s paralleled differences in the antibodies to identify the different forms of urine NGAL.⁷ Martensson and co-workers developed two ELISA’s which were able to distinguish monomeric from dimeric NGAL. Monomer-specific assays are expected to reduce any confounding effect of neutrophil involvement during bacteriuria or sepsis.⁸ In a study by Nickolas et al., a marked correlation between urine NGAL concentrations measured by immunoblot and by the ARCHITECT platform was found.⁶⁹ The AUC for the detection of intrinsic AKI by urine NGAL determined by the standardized clinical platform was identical to that of monomeric urine NGAL determined by immunoblot (AUC 0.81), confirming that monomeric urine NGAL is the form pertinent to AKI.⁶⁹

Nickolas and colleagues have shown that urine from patients with CKD display multiple forms of NGAL.¹⁰³ While the majority of NGAL was monomeric, several larger forms were also detectable, likely representing trimeric forms and perhaps complexes with other proteins. However, only the monomeric form of NGAL correlated inversely with estimated GFR, and directly with degree of tubular atrophy and interstitial fibrosis on kidney biopsies.¹⁰³ The NGAL ARCHITECT platform detected predominantly the monomeric form,¹⁰³ and commercial NGAL ELISAs also detect predominantly the monomeric form and correlate strongly with the ARCHITECT platform,³⁴ rendering them both potentially useful tools for exploring the role of urine NGAL in AKI and CKD.

Other limitations of NGAL as an AKI Biomarker

The information provided by tubule damage biomarker concentrations has other limitations. Although the majority of NGAL in urine or blood derives from the injured kidney, non-renal NGAL sources have been reported that might adversely affect the diagnostic accuracy.¹ The effect of CKD on the accuracy of NGAL for AKI prediction or differentiation from prerenal states remains a confounding factor that is open to further research. The available data suggest that patients with stable CKD display low concentrations of NGAL similar to normal controls, but those with progressive CKD may exhibit higher concentrations that may approach those seen in prerenal states or even in mild forms of AKI. The lack of a gold standard AKI definition, the lack of specific cut-off values for NGAL and differences in clinical assay characteristics are additional limitations to the widespread use of NGAL in clinical practice at the present time.

We recommend that future clinical studies using NGAL should employ the STARD criteria during study planning, and should be conducted as multicentre, multimarker and multitime point studies that employ pertinent clinical end points (and not merely creatinine-based endpoints) to further verify the diagnostic and prognostic value of NGAL. Attention should also be paid to the clinicians’ best guess at the bedside for AKI prediction, and biomarkers should demonstrate added value beyond clinical risk scores. In addition, freshly collected urine or blood specimens with NGAL measurement on clinical laboratory platforms or point-of-care devices reflecting closest proximity to clinical practice should be used. Further clinical and experimental characterization of patient groups according to magnitude, duration and type of renal function loss and tubular damage is needed to better understand the syndrome of AKI. Finally, large interventional trials are needed where therapeutic decisions are made based on clinical scoring and NGAL concentrations in a randomized fashion focusing on patient-relevant outcomes. A multimodal approach of clinical and biomarker-assisted decision-making for AKI prediction and treatment is likely to be most promising.

Footnotes

Acknowledgements

This article was prepared at the invitation of the Clinical Sciences Reviews Committee of the Association for Clinical Biochemistry and Laboratory Medicine.

Declaration of conflicting interests

PD is a co-inventor on submitted patents on NGAL as a marker of kidney injury. MH received lecture fees from Abbott Diagnostics and Biosite Inc/Alere.

Funding

Work described herein that was completed in the laboratory of PD was supported by grants from the NIH (P50 DK096418).

Ethical approval

Not applicable.

Guarantor

PD.

Contributorship

All three authors conceived the study. All three authors performed an independent literature search, compiled the results, and performed a critical appraisal of the literature. All three authors wrote the manuscript.

References

Kjeldsen

Johnsen

Sengeløv

. Isolation and primary structure of NGAL, a novel protein associated with human neutrophil gelatinase. J Biol Chem 1993; 268: 10425–10432.

Devarajan

. Neutrophil gelatinase-associated lipocalin: a promising biomarker for human acute kidney injury. Biomark Med 2010; 4: 265–280.

Paragas

Qiu

Zhang

. The Ngal reporter mouse detects the response of the kidney to injury in real time. Nat Med 2011; 17: 216–222.

Cowland

Sørensen

Sehested

. Neutrophil gelatinase-associated lipocalin is up-regulated in human epithelial cells by IL-1 beta, but not by TNF-alpha. J Immunol 2003; 171: 6630–6639.

Karlsen

Borregaard

Cowland

. Induction of neutrophil gelatinase-associated lipocalin expression by co-stimulation with interleukin-17 and tumor necrosis factor-alpha is controlled by IkappaB-zeta but neither by C/EBP-beta nor C/EBP-delta. J Biol Chem 2010; 285: 14088–14100.

Yan

Borregaard

Kjeldsen

. The high molecular weight urinary matrix metalloproteinase (MMP) activity is a complex of gelatinase B/MMP-9 and neutrophil gelatinase-associated lipocalin (NGAL). Modulation of MMP-9 activity by NGAL. J Biol Chem 2001; 276: 37258–37265.

Cai

Rubin

Han

. The origin of multiple molecular forms in urine of HNL/NGAL. Clin J Am Soc Nephrol 2010; 5: 2229–2235.

Mårtensson

Bell

. Immunoassays distinguishing between HNL/NGAL released in urine from kidney epithelial cells and neutrophils. Clin Chim Acta 2012; 413: 1661–1667.

Borregaard

Cowland

. Neutrophil gelatinase-associated lipocalin, a siderophore-binding eukaryotic protein. Biometals 2006; 19: 211–215.

10.

Goetz

Holmes

Borregaard

. The neutrophil lipocalin NGAL is a bacteriostatic agent that interferes with siderophore-mediated iron acquisition. Mol Cell 2002; 10: 1033–1043.

11.

Neilands

. Siderophores of bacteria and fungi. Microbiol Sci 1984; 1: 9–14.

12.

Bao

Clifton

Hoette

. Iron traffics in circulation bound to a siderocalin (Ngal)-catechol complex. Nat Chem Biol 2010; 6: 602–609.

13.

Devireddy

Hart

Goetz

. A mammalian siderophore synthesized by an enzyme with a bacterial homolog involved in enterobactin production. Cell 2010; 141: 1006–1017.

14.

Flo

Smith

Sato

. Lipocalin 2 mediates an innate immune response to bacterial infection by sequestrating iron. Nature 2004; 432: 917–921.

15.

Devireddy

Gazin

Zhu

. A cell-surface receptor for lipocalin 24p3 selectively mediates apoptosis and iron uptake. Cell 2005; 123: 1293–1205.

16.

Yang

Goetz

. An iron delivery pathway mediated by a lipocalin. Mol Cell 2002; 10: 1045–1056.

17.

Devireddy

Teodoro

Richard

. Induction of apoptosis by a secreted lipocalin that is transcriptionally regulated by IL-3 deprivation. Science 2001; 293: 829–834.

18.

Mori

Lee

Rapoport

. Endocytic delivery of lipocalin-siderophore-iron complex rescues the kidney from ischemia-reperfusion injury. J Clin Invest 2005; 115: 610–621.

19.

Supavekin

Zhang

Kucherlapati

. Differential gene expression following early renal ischemia/reperfusion. Kidney Int 2003; 63: 1714–1724.

20.

Mishra

Prada

. Identification of neutrophil gelatinase-associated lipocalin as a novel early urinary biomarker for ischemic renal injury. J Am Soc Nephrol 2003; 14: 2534–2543.

21.

Mishra

Mori

. Neutrophil gelatinase-associated lipocalin: a novel early urinary biomarker for cisplatin nephrotoxicity. Am J Nephrol 2004; 24: 307–315.

22.

Nielsen

Borregaard

Bundgaard

. Induction of NGAL synthesis in epithelial cells of human colorectal neoplasia and inflammatory bowel diseases. Gut 1996; 38: 414–420.

23.

Costa

Silva

de Castro

Liaño

. Sequential evaluation of prognostic models in the early diagnosis of acute kidney injury in the intensive care unit. Kidney Int 2009; 75: 982–986.

24.

Palsson

Niles

. Regional citrate anticoagulation in continuous venovenous hemofiltration in critically ill patients with a high risk of bleeding. Kidney Int 1999; 55: 1991–1997.

25.

Haase

Haase-Fielitz

. Neutrophil gelatinase-associated lipocalin for acute kidney injury – the renal troponin? J Lab Med 2010; 165: 28–32.

26.

Feltes

Van Eyk

Rabb

. Distant-organ changes after acute kidney injury. Nephron Physiol 2008; 109: 80–84.

27.

Haase

Kellum

Ronco

. Subclinical AKI – an emerging syndrome with important consequences. Nat Rev Nephrol 2012; 8: 735–739.

28.

Devarajan

. Neutrophil gelatinase-associated lipocalin (NGAL): a new marker of kidney disease. Scand J Clin Lab Invest 2008; 68: 89–94.

29.

Nickolas

O'Rourke

Yang

. Sensitivity and specificity of a single emergency department measurement of urinary neutrophil gelatinase-associated lipocalin for diagnosing acute kidney injury. Ann Intern Med 2008; 148: 810–819.

30.

di Somma

Magrini

De Berardinis

. Additive value to clinical judgement of blood neutrophil gelatinase-associated lipocalin in diagnosis of acute kidney injury and prediction of mortality in patients hospitalized from the emergency department. Critical Care 2012; 16: P354–P354.

31.

Haase

Bellomo

Devarajan

. NGAL Meta-analysis Investigator Group. Accuracy of neutrophil gelatinase-associated lipocalin (NGAL) in diagnosis and prognosis in acute kidney injury: a systematic review and meta-analysis. Am J Kidney Dis 2009; 54: 1012–1024.

32.

Mishra

Dent

Tarabishi

. Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery. Lancet 2005; 365: 1231–1238.

33.

Wagener

Jan

Kim

. Association between increases in urinary neutrophil gelatinase-associated lipocalin and acute renal dysfunction after adult cardiac surgery. Anesthesiology 2006; 105: 485–491.

34.

Bennett

Dent

. Urine NGAL predicts severity of acute kidney injury after cardiac surgery: a prospective study. Clin J Am Soc Nephrol 2008; 3: 665–673.

35.

Koyner

Bennett

Worcester

. Urinary cystatin C as an early biomarker of acute kidney injury following adult cardiothoracic surgery. Kidney Int 2008; 74: 1059–1069.

36.

Wagener

Gubitosa

Wang

. Urinary neutrophil gelatinase-associated lipocalin and acute kidney injury after cardiac surgery. Am J Kidney Dis 2008; 52: 425–433.

37.

Tuladhar

Püntmann

Soni

. Rapid detection of acute kidney injury by plasma and urinary neutrophil gelatinase-associated lipocalin after cardiopulmonary bypass. J Cardiovasc Pharmacol 2009; 53: 261–266.

38.

Han

Wagener

Zhu

. Urinary biomarkers in the early detection of acute kidney injury after cardiac surgery. Clin J Am Soc Nephrol 2009; 4: 873–882.

39.

Liangos

Tighiouart

Perianayagam

. Comparative analysis of urinary biomarkers for early detection of acute kidney injury following cardiopulmonary bypass. Biomarkers 2009; 14: 423–431.

40.

Che

Xie

Xue

. Clinical usefulness of novel biomarkers for the detection of acute kidney injury following elective cardiac surgery. Nephron Clin Pract 2010; 115: c66–c72.

41.

Heise

Rentsch

Braeuer

. Comparison of urinary neutrophil glucosaminidase-associated lipocalin, cystatin C, and α1-microglobulin for early detection of acute renal injury after cardiac surgery. Eur J Cardiothorac Surg 2011; 39: 38–43.

42.

Koyner

Vaidya

Bennett

. Urinary biomarkers in the clinical prognosis and early detection of acute kidney injury. Clin J Am Soc Nephrol 2010; 5: 2154–2165.

43.

Krawczeski

Woo

Wang

. Neutrophil gelatinase-associated lipocalin concentrations predict development of acute kidney injury in neonates and children after cardiopulmonary bypass. J Pediatr 2011; 158: 1009–1015.

44.

Krawczeski

Goldstein

Woo

. Temporal relationship and predictive value of urinary acute kidney injury biomarkers after pediatric cardiopulmonary bypass. J Am Coll Cardiol 2011; 58: 2301–2309.

45.

Xin

Yulong

. Urine neutrophil gelatinase-associated lipocalin and interleukin-18 predict acute kidney injury after cardiac surgery. Ren Fail 2008; 30: 904–913.

46.

Parikh

Devarajan

Zappitelli

. TRIBE-AKI Consortium. Postoperative biomarkers predict acute kidney injury and poor outcomes after pediatric cardiac surgery. J Am Soc Nephrol 2011; 22: 1737–1747.

47.

Parikh

Coca

Thiessen-Philbrook

. TRIBE-AKI Consortium. Postoperative biomarkers predict acute kidney injury and poor outcomes after adult cardiac surgery. J Am Soc Nephrol 2011; 22: 1748–1757.

48.

Peco-Antic

Ivanisevik

Vulicevic

. Biomarkers of acute kidney injury in pediatric cardiac surgery. Clin Biochem 2013; 46: 1244–1251.

49.

Liebetrau

Dorr

Baumgarten

. Neutrophil gelatinase-associated lipocalin (NGAL) for the early detection of cardiac surgery associated acute kidney injury. Scand J Clin Lab Invest 2013; 73: 392–399.

50.

Zheng

Xiao

Yao

. Comparison of urinary biomarkers for early detection of acute kidney injury after cardiopulmonary bypass surgery in infants and young children. Pediatr Cardiol 2013; 34: 880–886.

51.

Liu

Che

Xue

. Urinary L-FABP and its combination with urinary NGAL in early diagnosis of acute kidney injury after cardiac surgery in adult patients. Biomarkers 2013; 18: 95–101.

52.

Bellomo

Ronco

Kellum

. Acute renal failure – definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care 2004; 8: R204–R204.

53.

Akcan-Arikan

Zappitelli

Loftis

. Modified RIFLE criteria in critically ill children with acute kidney injury. Kidney Int 2007; 71: 1028–1035.

54.

Bagga

Bakkaloglu

Devarajan

. Improving outcomes from acute kidney injury: report of an initiative. Pediatr Nephrol 2007; 22: 1655–1658.

55.

Dent

Dastrala

. Plasma neutrophil gelatinase-associated lipocalin predicts acute kidney injury, morbidity and mortality after pediatric cardiac surgery: a prospective uncontrolled cohort study. Crit Care 2007; 11: R127–R127.

56.

Haase-Fielitz

Bellomo

Devarajan

. Novel and conventional serum biomarkers predicting acute kidney injury in adult cardiac surgery-a prospective cohort study. Crit Care Med 2009; 37: 553–560.

57.

Prabhu

Sujatha

Ninan

. Neutrophil gelatinase associated lipocalin as a biomarker for acute kidney injury in patients undergoing coronary artery bypass grafting with cardiopulmonary bypass. Ann Vasc Surg 2010; 24: 525–531.

58.

Perry

Muehlschlegel

Liu

. CABG Genomics InvestigatorsPlasma neutrophil gelatinase-associated lipocalin and acute postoperative kidney injury in adult cardiac surgical patients. Anesth Analg 2010; 110: 1541–1547.

59.

Fadel

Abdel Rahman

Mohamed

. Plasma neutrophil gelatinase-associated lipocalin as an early biomarker for prediction of acute kidney injury after cardio-pulmonary bypass in pediatric cardiac surgery. Arch Med Sci 2012; 8: 250–255.

60.

Zappitelli

Washburn

Arikan

. Urine neutrophil gelatinase-associated lipocalin is an early marker of acute kidney injury in critically ill children: a prospective cohort study. Crit Care 2007; 11: R84–R84.

61.

Siew

Ware

Gebretsadik

. Urine neutrophil gelatinase-associated lipocalin moderately predicts acute kidney injury in critically ill adults. J Am Soc Nephrol 2009; 20: 1823–1832.

62.

Mårtensson

Bell

Oldner

. Neutrophil gelatinase-associated lipocalin in adult septic patients with and without acute kidney injury. Intensive Care Med 2010; 36: 1333–1340.

63.

De Geus

Bakker

Lesaffre

. Neutrophil gelatinase-associated lipocalin at ICU admission predicts for acute kidney injury in adult patients. Am J Respir Crit Care Med 2011; 183: 907–914.

64.

Makris

Markou

Evodia

. Urinary neutrophil gelatinase-associated lipocalin (NGAL) as an early marker of acute kidney injury in critically ill multiple trauma patients. Clin Chem Lab Med 2009; 47: 79–82.

65.

Endre

Pickering

Walker

. Improved performance of urinary biomarkers of acute kidney injury in the critically ill by stratification for injury duration and baseline renal function. Kidney Int 2011; 79: 1119–1130.

66.

Singer

Elger

Elitok

. Urinary neutrophil gelatinase-associated lipocalin distinguishes pre-renal from intrinsic renal failure and predicts outcomes. Kidney Int 2011; 80: 405–414.

67.

Zappitelli

Mian

. Urinary biomarkers to detect acute kidney injury in the pediatric emergency center. Pediatr Nephrol 2011; 26: 267–274.

68.

Vaidya

Waikar

Ferguson

. Urinary biomarkers for sensitive and specific detection of acute kidney injury in humans. Clin Transl Sci 2008; 1: 200–208.

69.

Nickolas

Schmidt-Ott

Canetta

. Diagnostic and prognostic stratification in the emergency department using urinary biomarkers of nephron damage: a multicenter prospective cohort study. J Am Coll Cardiol 2012; 59: 246–255.

70.

Royakkers

Bouman

Stassen

. Systemic and urinary neutrophil gelatinase-associated lipocalins are poor predictorsofacute kidney injury in unselected critically ill patients. Crit Care Res Pract 2012; 2012: 712695–712695.

71.

Cho

Yang

S-K

. The role of urinary liver-type fatty acid-binding protein in critically ill patients. J Korean Med Sci 2013; 28: 100–105.

72.

Schinstock

Semret

Wagner

. Urinalysis is more specific and urinary neutrophil gelatinase-associated lipocalin is more sensitive for early detection of acute kidney injury. Nephrol Dial Transplant 2013; 28: 1175–1185.

73.

Wheeler

Devarajan

. Serum neutrophil gelatinase-associated lipocalin (NGAL) as a marker of acute kidney injury in critically ill children with septic shock. Crit Care Med 2008; 36: 1297–1303.

74.

Cruz

de Cal

Garzotto

. Plasma neutrophil gelatinase-associated lipocalin is an early biomarker for acute kidney injury in an adult ICU population. Intensive Care Med 2010; 36: 444–451.

75.

Shapiro

Trzeciak

Hollander

. The diagnostic accuracy of plasma neutrophil gelatinase-associated lipocalin in the prediction of acute kidney injury in emergency department patients with suspected sepsis. Ann Emerg Med 2010; 56: 52–59.

76.

Constantin

Futier

Perbet

. Plasma neutrophil gelatinase-associated lipocalin is an early marker of acute kidney injury in adult critically ill patients: a prospective study. J Crit Care 2010; 25: 176.e1–176.e6.

77.

Pickering

Endre

. The clinical utility of plasma neutrophil gelatinase-associated lipocalin in acute kidney injury. Blood Purif 2013; 35: 295–302.

78.

Soto K, Papoila AL, Coelho S, et al. Plasma NGAL for the diagnosis of AKI in patients admitted from the emergency department setting. Clin J Am Soc Nephrol 2013; Sep 5. [Epub ahead of print].

79.

Koning

Ploeg

van Bockel

. Risk factors for delayed graft function in cadaveric kidney transplantation: a prospective study of renal function and graft survival after preservation with University of Wisconsin solution in multiorgan donors. European Multicenter Study Group. Transplantation 1997; 63: 1620–1628.

80.

Akkina

Connaire

Israni

. Similar outcomes with different rates of delayed graft function may reflect center practice, not center performance. Am J Transplant 2009; 9: 1460–1466.

81.

Perico

Cattaneo

Sayegh

. Delayed graft function in kidney transplantation. Lancet 2004; 364: 1814–1827.

82.

Mishra

Kelly

. Kidney NGAL is a novel early marker of acute injury following transplantation. Pediatr Nephrol 2006; 21: 856–863.

83.

Parikh

Jani

Mishra

. Urine NGAL and IL-18 are predictive biomarkers for delayed graft function following kidney transplantation. Am J Transplant 2006; 6: 1639–1645.

84.

Lebkowska

Malyszko

Lebkowska

. Neutrophil gelatinase-associated lipocalin and cystatin C could predict renal outcome in patients undergoing kidney allograft transplantation: a prospective study. Transplant Proc 2009; 41: 154–157.

85.

Hall

Yarlagadda

Coca

. IL-18 and urinary NGAL predict dialysis and graft recovery after kidney transplantation. J Am Soc Nephrol 2010; 21: 189–197.

86.

Hollmen

Kyllönen

Inkinen

. Urine neutrophil gelatinase-associated lipocalin is a marker of graft recovery after kidney transplantation. Kidney Int 2011; 79: 89–98.

87.

Hollmen

Kyllönen

Inkinen

. Deceased donor neutrophil gelatinase-associated lipocalin and delayed graft function after kidney transplantation: a prospective study. Crit Care 2011; 15: R121–R121.

88.

Kusaka

Kuroyanagi

Mori

. Serum neutrophil gelatinase-associated lipocalin as a predictor of organ recovery from delayed graft function after kidney transplantation from donors after cardiac death. Cell Transplant 2008; 17: 129–134.

89.

Bataille

Abbas

Semoun

. Plasma neutrophil gelatinase-associated lipocalin in kidney transplantation and early renal function prediction. Transplantation 2011; 92: 1024–1030.

90.

Magnusson

Hornum

Jørgensen

. Plasma neutrophil gelatinase associated lipocalin (NGAL) is associated with kidney function in uraemic patients before and after kidney transplantation. BMC Nephrol 2012; 13: 8–8.

91.

Heyne N, Kemmner S, Schneider C, et al. Urinary neutrophil gelatinase-associated lipocalin accurately detects acute allograft rejection among other causes of acute kidney injury in renal allograft recipients. Transplantation 2012. [Epub ahead of print].

92.

Lee

Kim

Park

. Serum neutrophil gelatinase-associated lipocalin and interleukin-18 as predictive biomarkers for delayed graft function after kidney transplantation. J Clin Lab Anal 2012; 26: 295–301.

93.

Rahimzadeh

Otukesh

Hoseini

. Are serum and urine neutrophil gelatinase-associated lipocalin predictive of renal graft function in short term? Pediatr Transplant 2012; 16: 796–802.

94.

Rostami

Nikpoor

Einollahi

. Urinary neutrophil gelatinase associated lipocalin (NGAL) for early diagnosis of acute kidney injury in renal transplant patients. Nephrourol Mon 2013; 5: 745–752.

95.

Lee

Kim

Park

. Serum neutrophil gelatinase-associated lipocalin and interleukin-18 as predictive biomarkers for delayed graft function after kidney transplantation. J Clin Lab Anal 2012; 26: 295–301.

96.

Bossuyt

Reitsma

Bruns

. Standards for reporting of diagnostic accuracy. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Clin Chem 2003; 49: 7–18.

97.

Whiting

Rutjes

Reitsma

. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol 2003; 10: 3–25.

98.

von Elm

Altman

Egger

. STROBE initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol 2008; 61: 344–349.

99.

Haase-Fielitz

Bellomo

Devarajan

. The predictive performance of plasma neutrophil gelatinase-associated lipocalin (NGAL) increases with grade of acute kidney injury. Nephrol Dial Transplant 2009; 24: 3349–3354.

100.

Grenier

Ali

Syed

. Evaluation of the ARCHITECT urine NGAL assay: assay performance, specimen handling requirements and biological variability. Clin Biochem 2010; 43: 615–620.

101.

Haase

Devarajan

Haase-Fielitz

. The outcome of neutrophil gelatinase-associated lipocalin-positive subclinical acute kidney injury: a multicenter pooled analysis of prospective studies. J Am Coll Cardiol 2011; 57: 1752–1761.

102.

Kift

Messenger

Wind

. A comparison of the analytical performance of five commercially available assays for neutrophil gelatinase-associated lipocalin using urine. Ann Clin Biochem 2013; 50: 236–244.

103.

Nickolas

Forster

Sise

. Monomeric NGAL is associated with tubulointerstitial damage in chronic kidney disease. Kidney Int 2012; 82: 718–722.

Neutrophil gelatinase-associated lipocalin as a biomarker of acute kidney injury: a critical evaluation of current status

Abstract

Background

Methods

Results

Conclusions

Keywords

Introduction

Biology of NGAL

The clinical need for better biomarkers of AKI

Methods

Results

NGAL for the prediction of AKI after cardiac surgery

NGAL for the prediction of AKI in the critically Ill

NGAL for the prediction of AKI after kidney transplantation

Discussion

Critical appraisal of the current status of NGAL as a biomarker of AKI

NGAL clinical analytical platforms, assays and assay performances

Other limitations of NGAL as an AKI Biomarker

Footnotes

Acknowledgements

Declaration of conflicting interests

Funding

Ethical approval

Guarantor

Contributorship

References