AI Article Synopsis

  • The LiverRisk score is a proposed blood test aimed at estimating liver stiffness and identifying patients at risk for compensated advanced chronic liver disease (cACLD) and liver-related events without prior known liver issues.
  • In a study involving nearly 7,500 patients, the score's diagnostic performance was evaluated against established methods like FIB-4 and APRI, revealing that while it moderately correlates with liver stiffness measurements, it tends to underestimate them.
  • Although the LiverRisk score demonstrated decent accuracy for predicting cACLD and hepatic decompensation, its limitations include a low negative predictive value, indicating it might not effectively rule out disease in some patients.

Article Abstract

Background & Aims: The LiverRisk score has been proposed as a blood-based tool to estimate liver stiffness measurement (LSM), thereby stratifying the risk of compensated advanced chronic liver disease (cACLD, LSM ≥10 kPa) and liver-related events in patients without known chronic liver disease (CLD). We aimed to evaluate its diagnostic/prognostic performance in tertiary care.

Methods: Patients referred to two hepatology outpatient clinics (cohort I, n = 5,897; cohort II, n = 1,558) were retrospectively included. Calibration/agreement of the LiverRisk score with LSM was assessed, and diagnostic accuracy for cACLD was compared with that of fibrosis-4 (FIB-4)/aspartate aminotransferase-to-platelet ratio index (APRI). The prediction of hepatic decompensation and utility of proposed cut-offs were evaluated.

Results: In cohort I/II, mean age was 48.3/51.8 years, 44.2%/44.7% were female, predominant etiologies were viral hepatitis (51.8%)/metabolic dysfunction-associated steatotic liver disease (63.7%), median LSM was 6.9 (IQR 5.1-10.9)/5.8 (IQR 4.5-8.8) kPa, and 1,690 (28.7%)/322 (20.7%) patients had cACLD.Despite a moderate correlation (Pearson's r = 0.325/0.422), the LiverRisk score systematically underestimated LSM (2.93/1.80 points/kPa lower), and range of agreement was wide, especially at higher values.The diagnostic accuracy of the LiverRisk score for cACLD (area under the receiver operator characteristics curve [AUROC] 0.757/0.790) was comparable to that of FIB-4 (AUROC 0.769/0.813) and APRI (AUROC 0.747/0.765). The proposed cut-off of 10 points yielded an accuracy of 74.2%/81.2%, high specificity (91.9%/93.4%), but low negative predictive value (76.6%/84.5%, Cohen's κ = 0.260/0.327).In cohort I, 208 (3.5%) patients developed hepatic decompensation (median follow-up 4.7 years). The LiverRisk score showed a reasonable accuracy for predicting hepatic decompensation within 1-5 years (AUROC 0.778-0.832). However, it was inferior to LSM (AUROC 0.847-0.901, <0.001) and FIB-4 (AUROC 0.898-0.913, <0.001). Similar to the strata of other non-invasive tests, the proposed LiverRisk groups had distinct risks of hepatic decompensation.

Conclusions: The LiverRisk score did not improve the diagnosis of cACLD or prediction of hepatic decompensation in the tertiary care setting.

Impact And Implications: The LiverRisk score has been proposed as a non-invasive tool to estimate liver stiffness measurement and thus the risk of compensated advanced chronic liver disease and liver-related events. As automatic implementation into lab reports is being discussed, the question of its applicability outside of opportunistic screening in the general population arises. In two large cohorts of patients referred to hepatology outpatient clinics, the LiverRisk score did not accurately predict liver stiffness, did not improve cACLD identification, and had a lower predictive performance for hepatic decompensation as compared with FIB-4. Although it represents a major step forward for screening patients without known liver disease in primary care, our findings indicate that the LiverRisk score does not improve patient management outside the primary care setting, that is, in cohorts with a higher pre-test probability of cACLD.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11497454PMC
http://dx.doi.org/10.1016/j.jhepr.2024.101169DOI Listing

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