A new combined predicting model using a non-invasive score for the assessment of liver fibrosis in patients presenting with chronic hepatitis B virus infection

Accuracy of blood-based biomarkers for staging liver fibrosis in chronic liver disease: A systematic review supporting the AASLD Practice Guideline

BACKGROUND AND AIMS

Blood-based biomarkers have been proposed as an alternative to liver biopsy for noninvasive liver disease assessment in chronic liver disease. Our aims for this systematic review were to evaluate the diagnostic utility of selected blood-based tests either alone, or in combination, for identifying significant fibrosis (F2-4), advanced fibrosis (F3-4), and cirrhosis (F4), as compared to biopsy in chronic liver disease.

APPROACH AND RESULTS

We included a comprehensive search of databases including Ovid MEDLINE(R), EMBASE, Cochrane Database, and Scopus through to April 2022. Two independent reviewers selected 286 studies with 103,162 patients. The most frequently identified studies included the simple aspartate aminotransferase-to-platelet ratio index and fibrosis (FIB)-4 markers (with low-to-moderate risk of bias) in HBV and HCV, HIV-HCV/HBV coinfection, and NAFLD. Positive (LR+) and negative (LR-) likelihood ratios across direct and indirect biomarker tests for HCV and HBV for F2-4, F3-4, or F4 were 1.66-6.25 and 0.23-0.80, 1.89-5.24 and 0.12-0.64, and 1.32-7.15 and 0.15-0.86, respectively; LR+ and LR- for NAFLD F2-4, F3-4, and F4 were 2.65-3.37 and 0.37-0.39, 2.25-6.76 and 0.07-0.87, and 3.90 and 0.15, respectively. Overall, the proportional odds ratio indicated FIB-4 <1.45 was better than aspartate aminotransferase-to-platelet ratio index <0.5 for F2-4. FIB-4 >3.25 was also better than aspartate aminotransferase-to-platelet ratio index >1.5 for F3-4 and F4. There was limited data for combined tests.

CONCLUSIONS

Blood-based biomarkers are associated with small-to-moderate change in pretest probability for diagnosing F2-4, F3-4, and F4 in viral hepatitis, HIV-HCV coinfection, and NAFLD, with limited comparative or combination studies for other chronic liver diseases.

Assessment of liver fibrosis by transient elastography and multi-parameters model in young children with chronic hepatitis B virus infection

OBJECTIVE

This study aimed to compare the diagnostic value of the single or combined applications of transient elastography (TE) and multivariate indicators with biopsy for the detection of liver fibrosis in children caused by chronic hepatitis B (CHB).

METHODS

This study included 148 CHB children treated at Hunan Children's Hospital from January 1st 2015 to December 31st 2018, aged from 0.83 to 14.58 years old. All patients underwent liver biopsy (LB), of which 43 patients underwent TE. Multiple clinical data, including aspartate aminotransferase (AST), alanine aminotransferase (ALT), Platelet (PLT), and HBV-deoxyribonucleic acid (HBV DNA) of all patients were collected. The diagnostic values for CHB of TE and its combinations with these indicators were measured. The patients were classified in two ways: no hepatic fibrosis group (F0) versus fibrosis group (F ≥ 1), and no significant hepatic fibrosis group (F < 2) versus significant hepatic fibrosis group (F ≥ 2). The statistical assessment was performed between groups within each classification to compare the diagnostic value of different parameters.

RESULTS

The operating characteristic area under curve (AUC) of liver fibrosis diagnosed by liver stiffness measurement (LSM) which obtained by TE, AST-to-PLT ratio index (APRI), and fibrosis-4 index (FIB-4) were 0.740, 0.701, and 0.651, while the corresponding cut-off values were 5.9 kPa, 0.50, and 0.10, respectively. The AUC of significant liver fibrosis diagnosed by LSM, APRI and FIB-4 were 0.849, 0.701, and 0.509, while the corresponding cut-off values were 8.4 kPa, 0.76, and 0.08, respectively. While with the combinations of LSM and APRI, LSM and FIB-4, LSM and APRI and FIB-4, APRI and FIB-4, the AUC of significant liver fibrosis were 0.866, 0.855, 0.869, and 0.684, respectively. The AUC of significant liver fibrosis diagnosed by the LSM was significantly higher than APRI and FIB-4.

CONCLUSIONS

The diagnostic value of transient elastography was better than that of APRI and FIB-4 for CHB children with significant liver fibrosis. In addition, TE also has relatively high application values on the diagnosis of patients with different degrees of liver fibrosis caused by CHB.

Clinical and novel application of FibroScan, FIB-4 and aspartate aminotransferase-to-platelet ratio index in liver fibrosis evaluation in patients with hepatocellular carcinoma and their roles in oesophageal variceal prediction

BACKGROUND

Non-invasive techniques for liver fibrosis diagnosis are very important for clinician especially in high-risk patients for liver biopsy. We further explored the diagnostic accuracy of FibroScan, FIB-4 and aminotransferase-to-platelet ratio index (APRI) in identifying liver fibrosis and assess their predictive role for oesophageal varices in patients with hepatocellular carcinoma (HCC).

METHODS

In total, 380 patients who underwent surgery for HCC were included based on retrospective study design. Liver fibrosis was pathologically diagnosed using the Ishak scoring system. Liver stiffness parameters were measured using FibroScan. APRI and FIB-4 were calculated. Among those, 121 patients who received oesophagogastroduodenoscopic examination underwent variceal evaluation.

RESULTS

For liver cirrhosis diagnosis with FibroScan, the optimal cut-off values for the patients with HCC overall, left HCC and right HCC were 8.85, 11.75 and 8.70 kPa (the accuracy were 78.7%, 78.4% and 79.2%, respectively). They had high areas under the receiver operating characteristic curve of 0.84, 0.84 and 0.85. The combined FibroScan, APRI and FIB-4 had very high specificity (more than 92%) for cirrhosis diagnosis. The optimal cut-off liver stiffness values for the diagnosis of varices were all 11.2 kPa. For predicting varices, the optimal cut-off values of FIB-4 and APRI were 2.64 and 0.71, their accuracy were 64.3%-78.4%, 69.4% and 72.7%, respectively.

CONCLUSIONS

FibroScan, FIB-4 and APRI have moderate accuracy for liver fibrosis diagnosis and oesophageal varices prediction in patients with hepatoma. This is a study of these non-invasive techniques applied in specific hepatoma patients and with inevitable limitations and need future more studies for validation.

Accuracy of gamma-glutamyl transpeptidase-to-platelet ratio (GPR), red cell distribution width (RDW), aspartate aminotransferase-to-platelet ratio index (APRI), and the fibrosis-4 index (FIB4) compared with liver biopsy in patients with drug-induced liver injury (DILI)

ABSTRACT

This study objected to evaluate the accuracy of the gamma-glutamyl transpeptidase-to-platelet ratio (GPR), aspartate aminotransferase-to-platelet ratio index (APRI), red cell distribution width (RDW), and fibrosis-4 index (FIB4) index, compared with liver biopsy (LB), in predicting the severity of inflammation in drug-induced liver injury (DILI) patients.We evaluated patients with DILI who were followed at the First Hospital of Jilin University and underwent LB. Accuracy of each method was analyzed using ROC analysis. Classifications of liver inflammation included G0-4.One hundred fifty six DILI patients were included with LB and complete medical records. 62.8% (98), 39.1% (61), and 16.7% (26) were classified as ≥G2, ≥G3, or G4, respectively. The AUROCs, by degree of inflammation, were: ≥G2: GPR: 0.654, RDW: 0.635, APRI: 0.728, and FIB4: 0.739; ≥G3: GPR: 0.623, RDW: 0.703, APRI: 0.777, and FIB4: 0.781; and G4: GPR: 0.556, RDW: 0.647, APRI: 0.729, and FIB4: 0.714. To predict ≥G2 inflammation, there were no differences between the AUROCs for GPR, RDW, APRI, and FIB4. To predict ≥G3 inflammation, the AUROCs for FIB4 and APRI were higher than that for GPR (0.781 vs 0.623, P < .01; 0.777 vs 0.623, P < .05). As for G4 inflammation, the AUROCs for FIB4 and APRI were also higher than GPR (0.714 vs 0.556, P < .05, 0.729 vs 0.556, P < .05).When the level of inflammation was higher than G2 in patients with DILI, it could be predicted using APRI and FIB4 as non-invasive markers for this condition.