Significant variations in elastometry measurements made within short-term in patients with chronic liver diseases

Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease

BACKGROUND & AIMS

Multiparametric magnetic resonance (MR) imaging has been demonstrated to quantify hepatic fibrosis, iron, and steatosis. The aim of this study was to determine if MR can be used to predict negative clinical outcomes in liver disease patients.

METHODS

Patients with chronic liver disease (n=112) were recruited for MR imaging and data on the development of liver related clinical events were collected by medical records review. The median follow-up was 27months. MR data were analysed blinded for the Liver Inflammation and Fibrosis score (LIF; <1, 1-1.99, 2-2.99, and ⩾3 representing normal, mild, moderate, and severe liver disease, respectively), T2∗ for liver iron content and proportion of liver fat. Baseline liver biopsy was performed in 102 patients.

RESULTS

Liver disease aetiologies included non-alcoholic fatty liver disease (35%) and chronic viral hepatitis (30%). Histologically, fibrosis was mild in 54 (48%), moderate in 17 (15%), and severe in 31 (28%) patients. Overall mortality was 5%. Ten patients (11%) developed at least one liver related clinical event. The negative predictive value of LIF<2 was 100%. Two patients with LIF 2-2.99 and eight with LIF⩾3 had a clinical event. Patients with LIF⩾3 had a higher cumulative risk for developing clinical events, compared to those with LIF<1 (p=0.02) and LIF 1-1.99 (p=0.03). Cox regression analysis including all 3 variables (fat, iron, LIF) resulted in an enhanced LIF predictive value.

CONCLUSIONS

Non-invasive standardised multiparametric MR technology may be used to predict clinical outcomes in patients with chronic liver disease.

Systematic review with meta-analysis: direct comparisons of biomarkers for the diagnosis of fibrosis in chronic hepatitis C and B

BACKGROUND

Blood tests and transient elastography (TE), proposed as alternatives to biopsy for identifying advanced fibrosis (METAVIR-stage-F2 or greater) or cirrhosis, have never been compared using an intention to diagnose approach, with direct comparisons only, and Bayesian approach.

AIM

To permit more appropriate comparisons.

METHODS

From an overview of articles (2002-2014), we selected studies that directly compared the diagnostic accuracy of FibroTest, aspartate aminotransferase-platelet ratio index (APRI), FIB4 or TE, with biopsy as a reference, in patients with chronic hepatitis C (CHC) or B (CHB). Investigators abstracted and checked study details and quality by using pre-defined criteria. Bayesian method in intention to diagnose was the primary outcome.

RESULTS

Of 1321 articles identified, 71 studies including 77 groups according to aetiology (All-CB) were eligible: 37 Only-C, 28 Only-B and 12 Mixed-C-B. There were 185 direct comparisons between the area under the ROC curves (AUROCs), 99 for the diagnosis of advanced fibrosis and 86 for cirrhosis. In All-CB, Bayesian analyses revealed significant AUROCs differences in identifying advanced fibrosis in favour of FibroTest vs. TE [credibility interval: 0.06(0.02-0.09)], FibroTest vs. APRI [0.05 (0.03-0.07)] and for identifying cirrhosis TE vs. APRI [0.07 (0.02-0.13)] and FIB4 vs. APRI [0.04(0.02-0.05)]. No differences were observed between TE and FibroTest, for identifying cirrhosis in All-CB, and in sub-groups (Only-C, Only-B, Mixed-CB) for both cirrhosis and fibrosis.

CONCLUSIONS

In CHC and CHB, APRI had lower performances than FIB-4, TE and FibroTest. TE had lower performance than FibroTest for identifying advanced fibrosis in All-CB, without significant difference for identifying cirrhosis in all groups.

Transient and 2-Dimensional Shear-Wave Elastography Provide Comparable Assessment of Alcoholic Liver Fibrosis and Cirrhosis

BACKGROUND & AIMS

Alcohol abuse causes half of all deaths from cirrhosis in the West, but few tools are available for noninvasive diagnosis of alcoholic liver disease. We evaluated 2 elastography techniques for diagnosis of alcoholic fibrosis and cirrhosis; liver biopsy with Ishak score and collagen-proportionate area were used as reference.

METHODS

We performed a prospective study of 199 consecutive patients with ongoing or prior alcohol abuse, but without known liver disease. One group of patients had a high pretest probability of cirrhosis because they were identified at hospital liver clinics (in Southern Denmark). The second, lower-risk group, was recruited from municipal alcohol rehabilitation centers and the Danish national public health portal. All subjects underwent same-day transient elastography (FibroScan), 2-dimensional shear wave elastography (Supersonic Aixplorer), and liver biopsy after an overnight fast.

RESULTS

Transient elastography and 2-dimensional shear wave elastography identified subjects in each group with significant fibrosis (Ishak score ≥3) and cirrhosis (Ishak score ≥5) with high accuracy (area under the curve ≥0.92). There was no difference in diagnostic accuracy between techniques. The cutoff values for optimal identification of significant fibrosis by transient elastography and 2-dimensional shear wave elastography were 9.6 kPa and 10.2 kPa, and for cirrhosis 19.7 kPa and 16.4 kPa. Negative predictive values were high for both groups, but the positive predictive value for cirrhosis was >66% in the high-risk group vs approximately 50% in the low-risk group. Evidence of alcohol-induced damage to cholangiocytes, but not ongoing alcohol abuse, affected liver stiffness. The collagen-proportionate area correlated with Ishak grades and accurately identified individuals with significant fibrosis and cirrhosis.

CONCLUSIONS

In a prospective study of individuals at risk for liver fibrosis due to alcohol consumption, we found elastography to be an excellent tool for diagnosing liver fibrosis and for excluding (ruling out rather than ruling in) cirrhosis.

Factors That Could Impact on Liver Fibrosis Staging by Transient Elastography

Transient elastography (TE) based on liver stiffness measurement (LSM) is one of the most validated noninvasive methods for liver fibrosis staging in patients with chronic liver diseases. This method is painless, has no potential complications, is rapid (<10 min), and can be performed at the patient's bedside. However, several points should be considered when interpreting TE results. This review aims to discuss the critical points that might influence liver stiffness and TE results. Spectrum bias and the impact of the prevalence of fibrosis stages should be taken into account when interpreting the studies that validated this method using liver biopsy as a gold-standard. LSM might be influenced by nonfasting status, flare of transaminases, heart failure, extrahepatic cholestasis, presence of steatosis, aetiology of liver disease, type and position of probe, and operator's experience. In addition, interobserver variability can impact on the management of patients with chronic liver diseases. TE should be performed by an experienced operator (>100 exams), in a 3-hour fasting status, and its results should be handled by specialist clinicians that are aware of the limitations of this method.

Comparison of Histochemical Stainings in Evaluation of Liver Fibrosis and Correlation with Transient Elastography in Chronic Hepatitis

Background and Aim. The best staining to evaluate liver fibrosis in liver hepatitis is still a debated topic. This study aimed to compare Masson's trichrome (MT), Sirius Red (SR), and orcein stainings in evaluating liver fibrosis in chronic HCV hepatitis (CHC) with semiquantitative and quantitative methods (Collagen Proportionate Area (CPA) by Digital Image Analysis (DIA)) and correlate them with transient elastography (TE). Methods. Liver stiffness evaluation of 111 consecutive patients with CHC was performed by TE. Semiquantitative staging by Metavir score system and CPA by DIA were assessed on liver biopsy stained with MT, SR, and orcein. Results. MT, SR, and orcein staining showed concordant results in 89.6% of cases in staging CHC, without significant difference in both semiquantitative and quantitative evaluations of fibrosis. TE values were concordant with orcein levels in 86.5% of the cases and with MT/RS in 77.5% (P < 0.001). No significant correlation between the grade of necroinflammatory activity and TE values was found. Conclusion. In CHC, SR/MT and orcein stainings are almost concordant and when discordant, orcein staining is better related to TE values than MT/RS. This suggests that elastic fibers play a more important role than reticular or collagenous ones in determining stiffness values in CHC.

Regression of liver stiffness after sustained hepatitis C virus (HCV) virological responses among HIV/HCV-coinfected patients

OBJECTIVE

We assessed the impact of a sustained virological response (SVR) on liver stiffness among HIV/hepatitis C virus (HCV)-coinfected patients enrolled in the ANRS CO13 HEPAVIH cohort.

METHODS

We studied HIV/HCV-coinfected patients who received at least one dose of any anti-HCV treatment and who had documented SVR status, a pretreatment FibroScan value of at least 7.1 kPa, and at least one posttreatment FibroScan value. The time required to achieve at least a 30% decrease in liver stiffness was analyzed by constructing Kaplan-Meier curves and using Cox proportional hazards models.

RESULTS

Among 98 patients treated for HCV infection with either pegylated interferon along with ribavirin (n = 89) or protease inhibitor-based triple therapy (n = 9), 53 patients (54%) had an SVR. Median follow-up was 44.6 (interquartile range: 28.8-58.9) months. The probability of achieving a 30% decrease in FibroScan values was 51% [95% confidence interval (CI): 39-66] in patients with an SVR and 21% in nonresponders (95% CI: 11-36) at 1 year, and 74% (61-86) and 28% (17-44) at 2 years, respectively. In the subgroup of 35 cirrhotic patients (pretreatment liver stiffness ≥12.5 kPa), 14 of 18 patients with an SVR and three of 17 nonresponders had a fibrosis score below 12.5 kPa at the last follow-up examination. Multivariable analysis showed that SVR was independently associated with a ≥30% reduction in liver stiffness, both in the overall study group (hazard ratio: 5.77; 95% CI: 2.00-16.62; P = 0.0012) and in cirrhotic patients (hazard ratio: 8.21; 95% CI: 2.15-31.34; P = 0.0021). Robustness analyses using FIB4 values showed similar results.

CONCLUSION

SVR is significantly associated with improvement in liver stiffness in HIV/HCV-coinfected patients, including those with cirrhosis.

Performance and limitations of steatosis biomarkers in patients with nonalcoholic fatty liver disease

BACKGROUND

Several steatosis biomarkers are available with limited independent validation.

AIM

To determine diagnostic value and limitations of several steatosis biomarkers using liver biopsy as reference standard in a large cohort of patients with suspected NAFLD.

METHODS

Three hundred and twenty-four consecutive liver biopsies were included. Histological steatosis was categorised as none (<5%), mild (5-33%), moderate (33-66%) and severe (>66%). Five steatosis biomarkers were measured: fatty liver index (FLI), NAFLD liver fat score (NAFLD-LFS), hepatic steatosis index (HSI), visceral adiposity index (VAI) and triglyceride × glucose (TyG) index.

RESULTS

Steatosis grades prevalence was: none 5%, mild 39%, moderate 30% and severe 27%. Except for VAI, the steatosis biomarkers showed a linear trend across the steatosis grades. However, their correlation with the histological amount of steatosis was only weak-moderate. All steatosis biomarkers had an adequate diagnostic accuracy for the presence of steatosis: AUROCs for FLI, LFS, HSI, VAI and TyG were 0.83, 0.80, 0.81, 0.92 and 0.90. However, their ability to quantify steatosis was poor: none of them distinguished between moderate and severe steatosis and the AUROCs for predicting steatosis >33% were 0.65, 0.72, 0.65, 0.59 and 0.59 for FLI, LFS, HSI, VAI and TyG. Both fibrosis and inflammation significantly confounded the association between steatosis biomarkers and steatosis. The steatosis biomarkers were all correlated with HOMA-IR, independent from histological steatosis.

CONCLUSIONS

All five steatosis biomarkers can diagnose steatosis and are correlated with insulin resistance. They are confounded by fibrosis and inflammation, and do not accurately quantify steatosis; this may limit their clinical utility. More research is needed to identify truly independent and quantitative markers of steatosis.