Medline ® Abstracts for References 1-7

BACKGROUND&AIMS: Liver stiffness can be measured noninvasively to assess liver fibrosis in patients with chronic hepatitis C. In patients with chronic liver diseases, level of fibrosis predicts liver-related complications and survival. We evaluated the abilities of liver stiffness, results from noninvasive tests for fibrosis, and liver biopsy analyses to predict overall survival or survival without liver-related death with a 5-year period.

METHODS: In a consecutive cohort of 1457 patients with chronic hepatitis C, we assessed fibrosis and, on the same day, liver stiffness, performed noninvasive tests of fibrosis (FibroTest, the aspartate aminotransferase to platelet ratio index, FIB-4), and analyzed liver biopsy samples. We analyzed data on death, liver-related death, and liver transplantation collected during a 5-year follow-up period.

RESULTS: At 5 years, 77 patients had died (39 liver-related deaths) and 16 patients had undergone liver transplantation. Overall survival was 91.7% and survival without liver-related death was 94.4%. Survival was significantly decreased among patients diagnosed with severe fibrosis, regardless of the noninvasive method of analysis. All methods were able to predict shorter survival times in this large population; liver stiffness and results of FibroTest had higher predictive values. Patient outcomes worsened as liver stiffness and FibroTest values increased. Prognostic values of stiffness (P<.0001) and FibroTest results (P<.0001) remained after they were adjusted for treatment response, patient age, and estimates of necroinflammatory grade.

CONCLUSIONS: Noninvasive tests for liver fibrosis (measurement of liver stiffness or FibroTest) can predict 5-year survival of patients with chronic hepatitis C. These tools might help physicians determine prognosis at earlier stages and discuss specific treatments, such as liver transplantation.

BACKGROUND: FibroTest, a noninvasive method of measuring biomarkers of liver fibrosis, is an alternative to liver biopsy for determining the severity of chronic hepatitis C virus (HCV) infection. We compared the 5-year prognostic value of the FibroTest with biopsy staging for predicting cirrhosis decompensation and survival in patients with chronic HCV infection.

METHODS: Fibrosis stage was assessed on the same day by FibroTest and biopsy in a prospective cohort of 537 patients. Disease classification at baseline was 157 patients with severe fibrosis (FibroTest>0.58), 137 with moderate fibrosis (FibroTest 0.32-0.58), and 243 with no or minimal fibrosis (FibroTest<0.32).

RESULTS: In 64 untreated patients with severe fibrosis, survival without HCV complications was 73% [95% confidence interval (CI), 59%-086%; 13 complications], and survival without HCV-related death was 85% (95% CI, 73%-96%; 7 HCV deaths). Survival rates were higher in patients with moderate fibrosis, [99% (95% CI, 97%-100%; 1 complication; P<0.001) and 100% (no HCV death; P<0.001) for patients with and without HCV-related complications, respectively], and in patients with minimal fibrosis [100% (no complication; P<0.001 vs severe) and 100% (no HCV death; P<0.001 vs severe), respectively]. FibroTest was a better predictor than biopsy staging for HCV complications, with area under the ROC curves (AUROC) = 0.96 (95% CI, 0.93%-0.97%) vs 0.91 (95% CI, 0.85%-0.94%; P = 0.01), respectively; it was also a better predictor for HCV deaths: AUROC = 0.96 (95% CI, 0.93%-0.98%) vs 0.87 (95% CI, 0.70%-0.94%; P = 0.046), respectively. The prognostic value of FibroTest was still significant (P<0.001) in multivariate analyses after taking into account histology, treatment, alcohol consumption, and HIV coinfection.

CONCLUSION: The FibroTest measurement of HCV biomarkers has a 5-year prognostic value similar to that of liver biopsy.

BACKGROUND: Clinicians use fibrosis in a liver biopsy to predict clinical outcomes of chronic liver disease. The performance of non-invasive tests has been evaluated against histological assessment of fibrosis but use of clinical outcomes as the reference standard would be ideal. The enhanced liver fibrosis (ELF) test was derived and validated in a large cohort of patients and shown to have high diagnostic accuracy (area under the curve (AUC)=0.80 95% CI 0.76 to 0.85) in identification of significant fibrosis on biopsy.

OBJECTIVE: To evaluate ELF performance in predicting clinical outcomes by following up the original ELF cohort.

METHODS: Patients recruited to the ELF study at seven English centres were followed up for liver morbidity and mortality by examination of clinical data. Defaulting/discharged patients were followed up by family practitioner questionnaires. Primary outcome measure was liver-related morbidity/liver-related death.

RESULTS: 457 patients were followed up (median 7 years), with ascertainment of clinical status in 92%. There were 61 liver-related outcomes (39 deaths). Survival analysis showed that the ELF score predicts liver outcomes, with people having the highest ELF scores being significantly more likely to have clinical outcomes than those in lower-score groups. A Cox proportional hazards model showed fully adjusted HRs of 75 (ELF score 12.52-16.67), 20 (10.426-12.51) and 5 (8.34-10.425) compared with patients with ELF<8.34. A unit change in ELF is associated with a doubling of risk of liver-related outcome.

CONCLUSIONS: An ELF test can predict clinical outcomes in patients with chronic liver disease and may be a useful prognostic tool in clinical practice.

BACKGROUND: Alcoholic liver disease (ALD) is a significant cause of death and morbidity. Detection of liver fibrosis at an early stage could provide opportunities for more optimal management. Serum markers of liver fibrosis offer an alternative to biopsy. Evidence of the performance of biomarkers in ALD is needed and a systematic review to evaluate available studies was conducted.

METHODS: Electronic databases were searched. Studies were included if they evaluated paired samples of biopsy and serum, and presented data as sensitivity, specificity, or ROC curves.

RESULTS: 15 studies were included- median participant number = 146 (range 44-1034). Studies differed with respect to patient populations. 6 single markers were evaluated (mostly Hyaluronic Acid), and ten combined panels. Biomarkers could discriminate between people with severe fibrosis/cirrhosis with high diagnostic accuracy- HA (median AUROC 0.79 range 0.69-0.93), panels (median AUROC 0.83 range 0.38-0.95). Significantheterogeneity precluded pooling. Performance was poorer for detecting less severe fibrosis.

CONCLUSIONS: There are limited numbers of small studies evaluating the accuracy of biomarkers in identifying fibrosis on biopsy in ALD. Some showed promise (both HA alone and some panels) in the identification of cirrhosis/severe fibrosis and could be used to rule it out in heavy drinkers. Biomarkers less accurate with less severe fibrosis.

Assessment of liver fibrosis is important in determining prognosis and evaluating interventions. Due to limitations of accuracy and patient hazard of liver biopsy, non-invasive methods have been sought to provide information on liver fibrosis, including the European liver fibrosis (ELF) test, shown to have good diagnostic accuracy for the detection of moderate and severe fibrosis. Access to independent cohorts of patients has provided an opportunity to explore if this test could be simplified. This paper reports the simplification of the ELF test and its ability to identity severity of liver fibrosis in external validation studies in patients with chronic hepatitis C (CHC). Paired biopsy and serum samples from 347 naïve patients with CHC in three independent cohorts were analysed. Diagnostic performance characteristics were derived (AUROC, sensitivity and specificity, predictive values), and clinical utility modelling performed to determine the proportion of biopsies that could have been avoided if ELF test was used in this patient group. It was possible to simplify the original ELF test without loss of performance and the new algorithm is reported. The simplified ELF test was able to predict severe fibrosis [pooled AUROC of 0.85 (95% CI 0.81-0.89)]and using clinical utility modelling to predict severe fibrosis (Ishak stages 4-6; METAVIR stages 3 and 4) 81% of biopsies could have been avoided (65% correctly). Issues of spectrum effect in diagnostic test evaluations are discussed. In chronic hepatitis C a simplified ELF test can detect severe liver fibrosis with good accuracy.