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Community Approach Targeting Cirrhosis and Hepatocellular Carcinoma (CATCH): 4AGP, a new indirect biomarker-based algorithm that can predict risk of liver-related outcomes.

Authors :
Valaydon Z.
Thompson A.
Sood S.
Lubel J.
Kronborg I.
Lewis D.
Trezise K.
Kemp W.
Nicoll A.
Bloom S.
Ryan M.
Freeman E.
Vaz K.
Wells R.
Kodikara C.
Sarraf B.
Hirsch R.
Satake S.
Karunadasa H.
Gardner S.
Hartley I.
Bell S.
Gow P.
Dev A.
Roberts S.
Valaydon Z.
Thompson A.
Sood S.
Lubel J.
Kronborg I.
Lewis D.
Trezise K.
Kemp W.
Nicoll A.
Bloom S.
Ryan M.
Freeman E.
Vaz K.
Wells R.
Kodikara C.
Sarraf B.
Hirsch R.
Satake S.
Karunadasa H.
Gardner S.
Hartley I.
Bell S.
Gow P.
Dev A.
Roberts S.
Publication Year :
2021

Abstract

Background and Aim: Transient elastography with liver stiffness measurement (LSM) is known to correlate with liver fibrosis and liver-related outcomes. 4AGP is a new algorithm that uses indirect biomarkers to determine those who are at risk of elevated LSM (> 12.5 kPa). It is calculated using alpha-fetoprotein, albumin, aspartate aminotransferase, age, sex (gender), and platelet count. Although 4AGP correlates with elevated LSM in patients with chronic hepatitis C (CHC) virus infection, it is unknown whether it also predicts liver-related outcomes. We aimed to determine whether LSM or 4AGP, or other indirect biomarkers such as aspartate aminotransferase to platelet ratio index (APRI), Fibrosis-4 (FIB-4), or Forns index, can best predict liver-related outcomes in a cohort of patients with CHC. Method(s): The Community Approach Targeting Cirrhosis and Hepatocellular Carcinoma (CATCH) study is a prospective study that recruited patient with CHC. Baseline LSM and indirect biomarkers were assessed (all were before treatment), along with outcomes (hepatocellular carcinoma [HCC], decompensation, or liver-related death). Survival curves were analyzed using a log-rank test, along with receiver operator characteristic (ROC) curves and Cox proportional hazard ratios. Optimal cut-off points were calculated, accounting for sensitivity, specificity, false positives and negatives, as well as the area under the ROC curve (AUROC). Result(s): A total of 1049 patients with CHC were recruited between October 2014 and June 2018. Mean follow-up was 3.4 +/- 0.7 years, indicating 3631 patient-years. Patients' mean age was 45.1 years (19-82), and 31.3% were female. Seven patients developed HCC; the best predictors of HCC development were, in order, 4AGP, Forns index, FIB-4, LSM, and APRI (Fig. 1a). An LSM of 21.3 kPa was the optimal cut-off point for predicting HCC, with a sensitivity of 85.7%, specificity of 92.2%, and a hazard ratio (HR) of 30 (95% CI, 5.7-150). A 4AGP value of -2.81 had

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1305131386
Document Type :
Electronic Resource