Prognostic value of multiparametric magnetic resonance imaging, transient elastography and blood‐based fibrosis markers in patients with chronic liver disease
Arjun Jayaswal, Christina Levick, Emmanuel Selvaraj, Andrea Dennis, Jonathan Booth, Jane Collier, Jeremy Cobbold, Elizabeth M. Tunnicliffe, Matthew Kelly, Eleanor Barnes, Stefan Neubauer, Rajarshi Banerjee, Michael Pavlides
Abstract
Abstract Background & Aims Liver cT 1 , liver T 1 , transient elastography (TE) and blood‐based biomarkers have independently been shown to predict clinical outcomes but have not been directly compared in a single cohort of patients. Our aim was to compare these tests’ prognostic value in a cohort of patients with compensated chronic liver disease. Methods Patients with unselected compensated liver disease aetiologies had baseline assessments and were followed up for development of clinical outcomes, blinded to the imaging results. The prognostic value of non‐invasive liver tests at prespecified thresholds was assessed for a combined clinical endpoint comprising ascites, variceal bleeding, hepatic encephalopathy, hepatocellular carcinoma, liver transplantation and mortality. Results One hundred and ninety‐seven patients (61% male) with median age of 54 years were followed up for 693 patient‐years (median (IQR) 43 (26‐58) months). The main diagnoses were NAFLD (41%), viral hepatitis (VH, 25%) and alcohol‐related liver disease (ArLD; 14%). During follow‐up 14 new clinical events, and 11 deaths occurred. Clinical outcomes were predicted by liver cT 1 > 825ms with HR 9.9 (95% CI: 1.29‐76.4, P = .007), TE > 8kPa with HR 7.8 (95% CI: 0.97‐62.3, P = .02) and FIB‐4 > 1.45 with HR 4.09 (95% CI: 0.90‐18.4, P = .05). In analysis taking into account technical failure and unreliability, liver cT 1 > 825 ms could predict clinical outcomes ( P = .03), but TE > 8kPa could not ( P = .4). Conclusions We provide further evidence that liver cT 1 , TE and serum‐based biomarkers can predict clinical outcomes, but when taking into account technical failure/unreliability, TE cut‐offs perform worse than those of cT 1 and blood biomarkers.