Key result
Angptl2 combined index predicts significant liver fibrosis with ~0.84 AUC, outperforming APRI and FIB-4.
Why the study?
Does the Angptl2 combined index (ACI) improve the prediction of significant fibrosis compared to existing non-invasive models in chronic hepatitis B patients with normal to minimally raised ALT?
Cross-Sectional (n=460)
Single-blind
Yes
Does the Angptl2 combined index (ACI) improve the prediction of significant fibrosis compared to existing non-invasive models in chronic hepatitis B patients with normal to minimally raised ALT?
Effect estimate: AUC 0.835 (95% CI 0.781-0.889)
Absolute Event Rate: 0.835% vs 0.776%
p-value: p=0.049
The Angptl2 combined index (ACI) is a reliable non-invasive biomarker model that outperforms existing indices for diagnosing significant liver fibrosis in chronic hepatitis B patients with normal to minimally raised ALT.
May enhance noninvasive fibrosis assessment in CHB with normal ALT; leaves open prospective validation before practice change.
BACKGROUND: For hepatitis B patients who do not meet the treatment criteria recommended by guidelines, therapy decisions depend on hepatic histology. Angiopoietin-like protein 2 (Angptl2) is a mediator of chronic inflammation that contributes to extracellular matrix remodeling. The aim of this study was to explore the predictive value of Angptl2 as a novel biomarker of liver histology. METHODS: Hepatitis B patients with normal to minimally raised ALT were recruited. Serum Angptl2 concentrations were detected using commercial ELISA kit. The fibrosis score were assessed according to Ishak criteria. Significant fibrosis was defined as ISHAK score ≥ 3. RESULTS: Of 460 patients, 223 cases served as training cohort and 237 ones as validation cohort. Serum Angptl2 concentration was significantly associated with fibrosis scores in both training and validation group. Angptl2 combined index (ACI) for assessing significant fibrosis was developed from training cohort, based on Angptl2 and conventional variables. ACI showed areas under receiver-operating characteristic curve (AUC) of 0.835 for predicting significant fibrosis, which was superior to APRI (AUC = 0.776, P = 0.049), FIB-4 (AUC = 0.750, P = 0.010), Hui model (AUC = 0.756, P = 0.028), and had a better trend than Forn's index (AUC = 0.796, P = 0.083) in training cohort. Finally, validation cohort revealed its robustness and reliability. CONCLUSION: Higher Angptl2 level represents as a potential biomarker independently associated with fibrosis stages. Compared with APRI, Hui model, FIB-4, Forn's index, ACI did better in diagnosing significant fibrosis in hepatitis B patients. TRIAL REGISTRATION: The complete clinical trials protocol is available by request at clinicaltrials.gov ( NCT01962155 ) and chictr.org ( ChiCTR-DDT-13003724 ).
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Deng et al. (2017) conducted a cross-sectional in Chronic hepatitis B with normal to minimally raised ALT (n=460). Angptl2 combined index (ACI) vs. APRI, FIB-4, Forns' index, and Hui model was evaluated on Area under receiver-operating characteristic curve (AUC) for predicting significant fibrosis (ISHAK score ≥ 3) (AUC 0.835, 95% CI 0.781-0.889, p=0.049). The Angptl2 combined index (ACI) predicted significant liver fibrosis with an AUC of 0.835, demonstrating superiority over APRI, FIB-4, and the Hui model in chronic hepatitis B patients with normal to minimally raised ALT.
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