The goal of this prospective observational study is to test the impact of addition of the GAAD score to imaging in patients with chronic liver disease eligible for HCC surveillance. The main questions it aims to answer are: * Diagnostic accuracy of the GAAD score (cut-off 2.57 (3)) for detection of HCC (overall and by BCLC stage), expressed using sensitivity, specificity, negative predictive value and positive predictive value. * Change in GAAD score over time, and proportion of patients with a GAAD score above the cut-off over time in relation to potential confounding factors (e.g. age, bilirubin levels, presence of HCC). 1000 participants with chronic liver disease eligible for HCC surveillance will be enrolled. Data will be collected for 3 consecutive years after enrollment. As per clinical practice, patients will undergo standard bi-annual HCC surveillance comprising liver imaging with ultrasound (or CT or MRI based on previous investigations) and GAAD score assessment based on blood samples.
Study Type
OBSERVATIONAL
Enrollment
1,000
In order to calculate the GAAD score an in-vitro diagnostic is used. The Elecsys GAAD assay by Roche Diagnostics is used to assess the GAAD score using on blood samples collected from patients during regular outpatient clinic visits. The Elecsys GAAD test combines the results of the Elecsys PIVKA-II and Elecsys AFP assays with gender and age (the GAAD score is calculated with PIVKA-II, AFP, gender and age).
Erasmus MC
Rotterdam, CA, Netherlands
RECRUITINGThe diagnostic value of the GAAD score for HCC
The diagnostic value of the GAAD score for HCC will be expressed using sensitivity, specificity, positive and negative predictive values, both overall and for the subgroup of early stage (BCLC 0-A) HCC. The GAAD scores will be measured and documented separately for each visit. The diagnostic value of the GAAD score will be assessed for HCC diagnosed at the index visit (ie the visit at which the GAAD score was determined) and for HCC diagnosed on imaging performed at 6 months after the index visit.
Time frame: 6 months
Change in GAAD score over time in relation to confounding factors
Change in GAAD score over time in relation to confounding factors will be analysed using pairwise comparisons and linear regression. The following confounding factors will be analysed: age in years, gender, ALT, creatinine umol/L and bilirubin U/L. The proportion of patients with a GAAD score above the cut-off will be shown using descriptive statistics. The association between the occurrence of HCC in relation to the change in GAAD score, (from below to above the cut-off score) will be expressed using sensitivity, specificity, positive and negative predictive values as described above.
Time frame: 3 years
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