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Limited prognostic value of neutrophil gelatinase–associated lipocalin in acute-on-chronic liver failure: a single-center pilot comparison with Chronic Liver Failure Consortium and Model for End-Stage Liver Disease–based scores

Artur Kośnik, Dominika Kurpiewska, Maciej Miarka, Weronika Malinkiewicz, Joanna Raszeja-Wyszomirska
Department of Hepatology, Transplantology and Internal Medicine, Medical University of Warsaw, Warszawa, Poland
DOI: 10.20452/pamw.17207
Published online: January 21, 2026.
CCBYCC BY 4.0

In this article

Introduction

Acute‑on‑chronic liver failure (ACLF) is a clinically distinct syndrome characterized by acute decompensation of cirrhosis, systemic inflammation, and organ failure, which is associated with high short‑term mortality.1 Unlike traditional decompensated cirrhosis, ACLF involves extrahepatic organ failure and frequently requires intensive care unit (ICU) admission.2 Among these failures, acute kidney injury (AKI) plays a pivotal role in worsening prognosis and guiding therapeutic decisions.3,4

To capture the dynamic and systemic nature of ACLF, several prognostic scoring systems have been developed. The Chronic Liver Failure Consortium (CLIF‑C) ACLF score, developed by the European Foundation for the Study of Chronic Liver Failure, is one of the most accurate tools to assess short‑term mortality in patients with ACLF and to guide decisions regarding liver transplant and intensive care support.1,2,5,6 This score incorporates organ failures based on the CLIF Sequential Organ Failure Assessment (CLIF‑SOFA), which in turn adapts the traditional SOFA framework to the context of liver disease. Both CLIF‑SOFA and SOFA remain essential in ICU‑based triage and have demonstrated strong predictive capacity for in‑hospital mortality.6

In parallel, liver‑specific scores, such as the Model for End‑Stage Liver Disease (MELD) and its derivatives—MELD with sodium correction (MELD‑Na) and integrated MELD (iMELD)—continue to be widely used for transplant prioritization. However, these indices primarily reflect hepatic and renal laboratory parameters and do not account for multiorgan dysfunction, which limits their predictive value in patients with ACLF.7 Other emerging tools, such as the MELD to serum Na ratio (MESO) and United Kingdom MELD (UKELD) score, integrate serum sodium and creatinine into mortality prediction models, but their utility in the ACLF population is still debated.

Given the systemic complexity of ACLF, biomarkers reflecting different pathophysiological components of the condition have been explored as potential adjuncts to clinical scores. For example, von Willebrand factor has been shown to reflect endothelial dysfunction and to correlate with both disease severity and short‑term prognosis.8 Neutrophil gelatinase–associated lipocalin (NGAL), a marker of tubular injury and systemic inflammation, has emerged as a candidate for early detection of AKI and mortality prediction in cirrhotic patients.9,10 Prior studies have suggested its utility in differentiating hepatorenal syndrome from other AKI types and in predicting outcomes independently of serum creatinine.4,9 However, data on the performance of NGAL in homogeneous ACLF cohorts remain limited. Ariza et al11 evaluated urine NGAL in 716 cirrhotic patients (including 148 with ACLF), and found it independently predictive of ACLF and 28‑day transplant‑free mortality. Another recent study in an Indian ACLF cohort showed that fatty acid–binding protein 1 (FABP1) and cystatin C levels differed significantly between the patients who developed AKI and those who did not, suggesting their potential as early biomarkers.12

This study aimed to evaluate serum NGAL concentrations in patients with well‑characterized ACLF and end‑stage liver disease, and to assess its prognostic value in predicting survival and access to liver transplantation, as compared with established scoring systems, including CLIF‑C ACLF, SOFA, MELD, iMELD, UKELD, and MESO.

Patients and methods

This was a retrospective, observational, single‑center pilot study conducted at a tertiary liver transplant center. It included adult patients admitted with a diagnosis of ACLF. Their clinical, laboratory, and outcome data were extracted from electronic medical records. Serum NGAL concentrations were measured within 48 hours of ACLF development. For each patient, established prognostic scores were calculated using standard formulas, including MELD, MELD‑Na, iMELD, UKELD, MESO, SOFA, CLIF Organ Failure (CLIF‑OF), and CLIF‑C ACLF. Scoring was based on data collected during the first 48 hours of hospitalization to reflect the patient’s initial clinical status. Survival status and liver transplant data were recorded at discharge or death.

Written informed consent for the use of anonymized clinical data for research purposes was obtained from all patients upon hospital admission, in accordance with the institutional protocol. No prospective enrollment was performed. All patient data were anonymized prior to analysis to ensure confidentiality and integrity. The study protocol was approved by the Bioethics Committee of the Medical University of Warsaw (KB/55/2018), and conformed with the ethical guidelines of the 1975 Declaration of Helsinki (6th revision, 2008).

Inclusion and exclusion criteria

The inclusion criteria were: 1) age of 18 years or above, 2) confirmed diagnosis of cirrhosis, 3) development of ACLF during hospitalization (ACLF grades 1–3), 4) availability of a serum sample collected within 48 hours of ACLF onset, 5) availability of complete clinical and laboratory data necessary for CLIF‑C and MELD‑based prognostic scoring.

Exclusion criteria comprised: 1) absence of confirmed ACLF, 2) lack of a serum sample collected within the required time window, 3) severe hemolysis or sample deterioration preventing NGAL analysis, 4) missing data on essential clinical or laboratory parameters.

Measurement of neutrophil gelatinase–associated lipocalin

Serum NGAL concentrations were determined using the NGAL Test (BioPorto Diagnostics A/S, Hellerup, Denmark; CE- and In Vitro Diagnostic–approved), a particle‑enhanced turbidimetric immunoassay performed on the Cobas c501 analyzer (Roche Diagnostics, Basel, Switzerland). The assay quantifies NGAL based on light scattering induced by the aggregation of antibody‑coated polystyrene microparticles. Calibration was performed using a dedicated 5‑point calibrator set, and 2 levels of internal quality control were run according to the manufacturer’s instructions.

Blood samples were collected into EDTA tubes, processed within routine laboratory timelines, centrifuged at 1500 × g for 15 minutes, and analyzed immediately or stored at 2 to 8 °C for a maximum of 72 hours. Hemolytic or lipemic samples were excluded.

Statistical analysis

Continuous variables were expressed as medians with interquartile ranges (IQRs), and categorical variables as counts and percentages. The normality of distribution of continuous variables was assessed using the Shapiro–Wilk test. Since most variables did not meet the assumption of normality, nonparametric statistical methods were used throughout the analysis.

Comparisons between groups (eg, ACLF grades, AKI vs non‑AKI, survivors vs nonsurvivors) were performed using the Mann–Whitney test or Kruskal–Wallis test, as appropriate. Group comparisons were treated as a separate family of analyses, and therefore no multiple‑testing correction was applied to these tests.

Associations between serum NGAL concentrations and prognostic scores (MELD, iMELD, MELD‑Na, MESO, UKELD, SOFA, CLIF‑OF, CLIF‑C ACLF, CLIF‑C ACLF 1‑month prediction, and CLIF‑C ACLF 3‑month prediction) were evaluated using the Spearman rank correlation (R). As these analyses involved multiple related tests, P values were adjusted using the Benjamini–Hochberg false discovery rate (FDR) procedure. Both unadjusted and FDR‑adjusted P values are reported.

A 2‑sided P value below 0.05 was considered significant unless otherwise specified. All statistical analyses were performed using IBM SPSS Statistics (IBM Corp., Armonk, New York, United States).

Results

A total of 43 adults with end‑stage liver disease who developed ACLF were included in the study. Serum NGAL concentrations were available for 41 patients. Baseline clinical and biochemical characteristics, as well as liver disease severity scores, are presented in Supplementary material, Tables S1 and S2. Among the cohort, 16 patients (37.2%) had ACLF grade 1, 11 (25.6%) had ACLF grade 2, and 16 (37.2%) had ACLF grade 3.

The median (IQR) serum NGAL concentration for the entire cohort was 586 (268–896) ng/ml. Serum NGAL concentrations did not differ significantly across ACLF severity grades. Median NGAL levels were 552 (338.5–981.5) ng/ml in ACLF grade 1, 507 (282.5–638) ng/ml in ACLF grade 2, and 614 (388–857) ng/ml in ACLF grade 3, with no significant differences observed (P = 0.77).

AKI was present in 33 of the 43 patients with ACLF; serum NGAL measurements were available in 31 of these patients. The remaining 10 patients did not develop AKI and all had available NGAL data. Median NGAL concentrations were nonsignifcantly higher in the AKI than the non‑AKI group (600 [334.5–938.5] vs 469 [263–603.5] ng/ml, respectively; P = 0.22).

When stratified by liver transplant status, the patients who underwent the procedure (n = 21) had lower NGAL concentrations (median, 430 [195–671] ng/ml) than those who did not undergo a transplant (median, 688.5 [535–983.25] ng/ml). Although this difference reached nominal significance (P = 0.03), it did not remain statistically robust given the sample size and multiple subgroup comparisons.

NGAL concentrations were also compared between the survivors (n = 24) and nonsurvivors (n = 19). Among the survivors, the median NGAL value was 497 (231–818) ng/ml, as compared with 625 (523–978) ng/ml in the nonsurvivors (P = 0.13).

NGAL did not significantly correlate with any liver‑specific prognostic scores, including MELD, MELD‑Na, iMELD, MESO, and UKELD, nor was it associated with CLIF‑derived scores, after adjustment for multiple testing (all FDR‑adjusted P >0.44). An association with SOFA (R = 0.32; P = 0.04) did not remain significant after the Benjamini–Hochberg correction (FDR‑adjusted P = 0.44). Full correlation data are provided in Table 1.

Table 1. Spearman correlation between serum neutrophil gelatinase–associated lipocalin levels and liver disease severity scores
Score
Spearman R
Raw P value
FDR‑adjusted P value
Abbreviations: CLIF‑C ACLF, Chronic Liver Failure Consortium Acute‑on‑Chronic Liver Failure Score; CLIF‑OF, Chronic Liver Failure Consortium Organ Failure Score; FDR, false discovery rate; iMELD, integrated Model for End‑Stage Liver Disease; MELD, Model for End‑Stage Liver Disease; MELD‑Na, Model for End‑Stage Liver Disease with sodium correction; MESO, MELD to serum sodium ratio; SOFA, Sequential Organ Failure Assessment Score; UKELD, United Kingdom Model for End‑Stage Liver Disease
SOFA
0.32
0.04
0.2
CLIF‑SOFA
0.12
0.47
0.86
CLIF‑C ACLF
0.07
0.69
0.86
CLIF‑C ACLF 1‑month prediction
0.08
0.6
0.86
CLIF‑C ACLF 3‑month prediction
0.08
0.61
0.86
CLIF‑OF
0.02
0.89
0.89
MELD
0.17
0.28
0.47
iMELD
0.12
0.44
0.55
MELD‑Na
0.21
0.17
0.38
MESO
0.2
0.21
0.57
UKELD
0.04
0.82
0.89

In contrast, several CLIF‑derived prognostic scores demonstrated clinically meaningful associations with mortality. The nonsurvivors had higher CLIF‑OF scores (median, 12 [12–14.5]) than the survivors (median, 10 [10–12]; P <⁠0.001). Similarly, CLIF‑C ACLF scores were markedly higher in the nonsurvivors, as compared with the survivors (median, 62 [54.5–64.5] vs 47 [43.75–55], respectively; P <⁠0.001). Conversely, traditional liver severity scores (MELD, iMELD, MELD‑Na, MESO, UKELD) did not differ significantly between the survivors and nonsurvivors (all P >0.24), indicating limited prognostic discrimination within this advanced ACLF cohort.

No significant differences in MELD‑based or CLIF‑based scores were observed between the transplanted and nontransplanted patients (all P >0.24), suggesting that decisions regarding eligibility for liver transplant in this cohort were based on broader clinical assessments rather than purely on numerical scoring.

Discussion

In this study, we evaluated the prognostic utility of serum NGAL concentration in a homogeneous cohort of patients with ACLF. Despite the high prevalence of organ dysfunction and short‑term mortality in our population, NGAL levels did not significantly differ across ACLF grades and were not independently associated with survival or access to orthotopic liver transplantation after correction for multiple comparisons. These findings diverge from earlier reports regarding the predictive value of NGAL. Previous studies suggested that NGAL levels, particularly urinary ones, could play an important role as a biomarker in 2 main areas: early identification and differentiation of AKI, as well as its response to treatment; and prediction of adverse events and mortality in patients with cirrhosis.9,13,14 A significant correlation has been shown between serum NGAL levels and total bilirubin, international normalized ratio, and MELD score, as well as the risk of bacterial infections, hepatorenal syndrome, and 28‑day mortality. These findings were particularly significant when combined with dynamic changes in other parameters, such as creatinine or C‑reactive protein.10,15,16 It has been suggested that NGAL, similarly to other emerging biomarkers, might be a general biomarker of multiorgan failure and inflammation rather than of any specific organ dysfunction.12

However, most of these studies involved heterogeneous cohorts including patients with decompensated cirrhosis but not necessarily fulfilling strict ACLF criteria. Many of them also included patients with an ACLF diagnosis based on the Asian Pacific Association for the Study of the Liver criteria, which differ significantly from the European Association for the Study of the Liver (EASL) CLIF‑C criteria.17 This could explain the differing findings. In addition, the timing and primary purpose of NGAL measurements varied substantially between previously published studies and our cohort. In several earlier reports, NGAL was measured either at the time of AKI diagnosis, on ICU admission, or perioperatively, most commonly to detect early renal injury or to predict AKI progression rather than mortality. Some studies incorporated repeated or dynamic measurements, whereas our design relied on a single baseline serum NGAL value obtained within 48 hours of ACLF onset. Moreover, only a minority of individuals included in previous cohorts met strict ACLF criteria, which limits the applicability of their prognostic results to this specific population. These methodological and temporal differences likely contribute to the discrepancy between the prognostic performance of NGAL reported in the literature and the limited predictive value observed in our ACLF cohort.

The systemic inflammatory response in ACLF is associated with complex, overlapping mechanisms of organ injury involving hypoperfusion, cytokine‑mediated damage, and mitochondrial dysfunction.1 As a result, biomarkers such as NGAL, reflecting tubular stress, may lack specificity for mortality when isolated from other organ dysfunctions. Similar observations were recently reported in an Indian ACLF cohort, where NGAL and interleukin 18 did not predict 28‑day mortality or AKI, whereas composite or multiorgan‑based scores and other markers, such as cystatin C and FABP1, showed stronger prognostic performance.12 This is further underscored by our finding that NGAL did not correlate with any of the CLIF‑derived mortality prediction scores.6,7 In contrast, our analysis showed that scores reflecting multiorgan failure, particularly CLIF‑C ACLF, CLIF‑C ACLF 1- and 3‑month predictions, and SOFA, were strongly and significantly associated with patient survival. These findings are in line with large multicenter validations of the CANONIC (Chronic Liver Failure; Acute‑on‑Chronic Liver Failure in Cirrhosis) cohort and EASL guidelines, which emphasize the prognostic value of organ failure patterns over traditional liver‑specific indices, such as MELD or iMELD.7 Despite being widely used in transplant allocation, MELD‑based scores showed poor performance in our ACLF cohort, likely reflecting their limited capacity to capture systemic dysfunction.18,19

Another important observation was the lack of significant differences in prognostic scores between the patients who underwent a transplant and those who did not. This may reflect nonclinical barriers to listing, including resource constraints, comorbidities, or perceived futility of transplantation in advanced ACLF.5,20 While NGAL showed a nonsignificant trend toward lower levels in the patients who received a transplant, it was not predictive after multiple‑comparison correction, further limiting its utility in triage settings.

Taken together, our results highlight the challenge of applying single biomarkers in the context of a multifactorial syndrome such as ACLF, and support the primacy of CLIF‑derived composite scores in evaluating prognosis and guiding clinical decisions. Although NGAL retains potential utility in AKI subtyping and early detection of tubular injury,9,10 its role in survival prediction and transplant prioritization remains uncertain in advanced ACLF. Future studies should explore biomarker panels, dynamic trends, and integration with clinical scores to enhance prognostication in this critically ill population.

Limitations

This study has several limitations. First, it was a single‑center pilot project with a relatively small cohort (n = 43), which restricts statistical power and limits the generalizability of our findings. Second, its retrospective design may have introduced selection bias and missing data. Third, only baseline serum NGAL levels were assessed, without evaluation of dynamic changes or parallel urinary measurements, which might have reduced the biomarker’s sensitivity and discriminative capacity. Finally, the limited number of events precluded robust multivariable and competing‑risk analyses, which could have further clarified independent prognostic contributions. Despite these constraints, our study provides exploratory data on NGAL specifically in a well‑defined ACLF cohort—a population underrepresented in previous research—and supports the need for larger, prospective, multicenter studies to validate these observations and to explore the potential of biomarker panels alongside composite organ‑failure scores.

Conclusions

In this single‑center pilot study of patients with ACLF, serum NGAL concentration showed only limited prognostic value and was not independently associated with ACLF grade, short‑term mortality, or access to transplantation. These findings support the view that NGAL alone may be insufficient in the context of a multisystem syndrome such as ACLF, whereas composite organ failure–based scores, particularly CLIF‑C ACLF, provide more reliable prognostic information. Further prospective, multicenter studies are warranted to confirm these results and to explore the potential of biomarker panels integrated with dynamic clinical scores for early risk stratification and liver transplant decision‑making.

SUPPLEMENTARY MATERIAL
Supplementary material.pdf
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Acknowledgments: None.
Funding: None.
Conflict of interest: None declared.
AI statement: Artificial intelligence was not used in the preparation of this manuscript.
References
  1. European Association for the Study of the Liver. EASL Clinical Practice Guidelines on acute‑on‑chronic liver failure. J Hepatol. 2023; 79: 461‑491. | Crossref
  2. Ferrarese A, Feltracco P, Barbieri S, et al. Outcome of critically ill cirrhotic patients admitted to the ICU: the role of ACLF. J Hepatol. 2019; 70: 801‑803. | Crossref
  3. Angeli P, Garcia‑Tsao G, Nadim MK, et al. News in pathophysiology, definition and classification of hepatorenal syndrome: a step beyond the International Club of Ascites (ICA) consensus document. J Hepatol. 2019; 71: 811‑822. | Crossref
  4. Davenport A, Sheikh MF, Lamb E, et al. Acute kidney injury in acute‑on‑chronic liver failure: where does hepatorenal syndrome fit? Kidney Int. 2017; 92: 1058‑1070. | Crossref
  5. Engelmann C, Thomsen KL, Zakeri N, et al. Validation of CLIF‑C ACLF score to define a threshold for futility of intensive care support for patients with acute‑on‑chronic liver failure. Crit Care. 2018; 22: 254. | Crossref