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Ann Hepatol ; 18(1): 155-164, 2019.
Article in English | MEDLINE | ID: mdl-31113585

ABSTRACT

INTRODUCTION AND AIM: Acute-on-chronic liver failure (ACLF) is a syndrome with high short-term mortality, and predicting the prognosis is challenging. This study aimed to compare the performance of neutrophil gelatinase-associated lipocalin (NGAL) and cystatin C (CysC) in predicting the 90-day mortality in patients with hepatitis B virus (HBV)-associated ACLF (HBV-ACLF). MATERIALS AND METHODS: This prospective, observational study enrolled 54 patients with HBV-ACLF. The serum NGAL and CysC levels were determined. A multivariate logistic regression analysis was used to analyze the independent risk factors of mortality. RESULTS: Serum NGAL, but not CysC, was found to significantly correlate with the total bilirubin, international normalized ratio, and model for end-stage liver disease (MELD). Serum NGAL [odds ratio (OR), 1.008; 95% confidence interval (CI), 1.004-1.012; P < 0.01], but not CysC, was an independent risk factor for developing hepatorenal syndrome. Moreover, NGAL (OR, 1.005; 95% CI, 1.001-1.010; P < 0.01) along with the MELD score was independently associated with the overall survival in patients with HBV-ACLF. Patients with HBV-ACLF were stratified into two groups according to the serum NGAL level at baseline (low risk: <217.11 ng/mL and high risk: ≥ 217.11 ng/mL). The 90-day mortality rate was 22.73% (5/22) in the low-risk group and 71.88% (23/32) in the high-risk group. Moreover, NGAL, but not CysC, significantly improved the MELD score in predicting the prognosis of HBV-ACLF. CONCLUSION: The serum NGAL might be superior to CysC in predicting the prognosis of HBV-ACLF with the normal creatinine level.


Subject(s)
Acute-On-Chronic Liver Failure/blood , Cystatin C/blood , Lipocalin-2/blood , Acute-On-Chronic Liver Failure/diagnosis , Acute-On-Chronic Liver Failure/mortality , Adult , Biomarkers/blood , China/epidemiology , Enzyme-Linked Immunosorbent Assay , Female , Follow-Up Studies , Humans , Male , Middle Aged , Predictive Value of Tests , Prognosis , Prospective Studies , Risk Factors , Survival Rate/trends
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