» Articles » PMID: 24291240

Staging Chronic Hepatitis C in Seven Categories Using Fibrosis Biomarker (FibroTest™) and Transient Elastography (FibroScan®)

Abstract

Background & Aims: FibroTest™ (FT) and Transient Elastography (TE) have been validated as non-invasive markers of METAVIR fibrosis stages from F0 to F4 using biopsy, and as prognostic markers of liver related mortality in patients with chronic hepatitis C. The aim was to extend the validation of FT and TE as markers of critical steps defined by occurrence of cirrhosis without complications (F4.1), esophageal varices (F4.2), and severe complications (F4.3): primary liver cancer, variceal bleeding, or decompensation (ascites, encephalopathy, or jaundice).

Methods: The updated individual data of 3927 patients (1046 cirrhotics) without complications at baseline were pooled from three prospective cohorts called "EPIC", "Paris", and "Bordeaux" cohorts.

Results: At 5 years, among 501 patients without varices at baseline (F4.1) varices occurred in 19 patients [F4.2 incidence of 4.0% (95% CI 2.2-5.8)]. The predictive performance (AUROC) of FT was 0.77 (0.66-0.84; p<0.001). At 10 years severe complications occurred in 203 patients, [F4.3 incidence of 13.4% (9.6-17.1)], including primary liver cancer in 84 patients [6.4% (3.5-9.3)]. FT was predictive (Cox adjusted on treatment) of severe complications [AUROC 0.79 (76-82); p<0.0001], including primary liver cancer [AUROC 0.84 (80-87); p<0.0001]. Similarly TE was predictive of severe complications [AUROC 0.77 (72-81); p<0.0001], including primary liver cancer [AUROC 0.86 (81-90); p<0.0001].

Conclusions: FibroTest™ and TE increase were associated with the occurrence of all severe complications including hepatocellular carcinoma, hepatic insufficiency, and variceal bleeding. FibroTest™ increase was also associated with the occurrence of esophageal varices.

Citing Articles

Long-Term Outcomes of Patients with Liver Cirrhosis After Eradication of Chronic Hepatitis C with Direct-Acting Antiviral Drugs (DAAs).

Salama M, Darwesh N, Elsabaawy M, Abdelsameea E, Gomaa A, Sabry A J Hepatocell Carcinoma. 2024; 11:2115-2132.

PMID: 39493267 PMC: 11531736. DOI: 10.2147/JHC.S475810.


Liver fibrosis classification from ultrasound using machine learning: a systematic literature review.

Punn N, Patel B, Banerjee I Abdom Radiol (NY). 2023; 49(1):69-80.

PMID: 37950068 DOI: 10.1007/s00261-023-04081-y.


Ultrasound Elastography to Differentiate the Thrombus and Plaque in Peripheral Arterial Diseases.

Kim K, Kim H, Cho S, Lee S, Joh J Vasc Specialist Int. 2022; 38:34.

PMID: 36575112 PMC: 9794493. DOI: 10.5758/vsi.220046.


Opposing roles of hepatic stellate cell subpopulations in hepatocarcinogenesis.

Filliol A, Saito Y, Nair A, Dapito D, Yu L, Ravichandra A Nature. 2022; 610(7931):356-365.

PMID: 36198802 PMC: 9949942. DOI: 10.1038/s41586-022-05289-6.


Conventional and artificial intelligence-based imaging for biomarker discovery in chronic liver disease.

Dana J, Venkatasamy A, Saviano A, Lupberger J, Hoshida Y, Vilgrain V Hepatol Int. 2022; 16(3):509-522.

PMID: 35138551 PMC: 9177703. DOI: 10.1007/s12072-022-10303-0.