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Development, validation, and prognostic evaluation of LiverPRO for the prediction of significant liver fibrosis in primary care: a prospective cohort study

Lindvig, Katrine P; Thorhauge, Katrine H; Hansen, Johanne K; Kjærgaard, Maria; Hansen, Camilla D; Johansen, Stine; Lyngbeck, Ellen; Israelsen, Mads; Andersen, Peter; Bech, Katrine T; Torp, Nikolaj; Schnefeld, Helle L; Detlefsen, Sönke; Möller, Sören; Graupera, Isabel; Trelle, Morten B; Antonsen, Steen; Harris, Rebecca; Kårhus, Line L; Bjørnsbo, Kirsten S; Brøns, Charlotte; Hansen, Torben; Geier, Andreas; Wedemeyer, Heiner; Zeuzem, Stefan; Schattenberg, Jörn M; Ginès, Pere; Guha, Indra Neil; Krag, Aleksander; Thiele, Maja

Development, validation, and prognostic evaluation of LiverPRO for the prediction of significant liver fibrosis in primary care: a prospective cohort study Thumbnail


Authors

Katrine P Lindvig

Katrine H Thorhauge

Johanne K Hansen

Maria Kjærgaard

Camilla D Hansen

Stine Johansen

Ellen Lyngbeck

Mads Israelsen

Peter Andersen

Katrine T Bech

Nikolaj Torp

Helle L Schnefeld

Sönke Detlefsen

Sören Möller

Isabel Graupera

Morten B Trelle

Steen Antonsen

Rebecca Harris

Line L Kårhus

Kirsten S Bjørnsbo

Charlotte Brøns

Torben Hansen

Andreas Geier

Heiner Wedemeyer

Stefan Zeuzem

Jörn M Schattenberg

Pere Ginès

Aleksander Krag

Maja Thiele



Abstract

Background
Clinically significant liver fibrosis is associated with future adverse events in patients with steatotic liver disease. We designed a software tool for detection of clinically significant liver fibrosis in primary care.

Methods
In this prospective cohort study, we developed and validated LiverPRO using six independent cohorts from Denmark, Germany, and England that included patients from primary and secondary care with steatotic liver disease related to alcohol or metabolic dysfunction. We used clinically significant fibrosis (histology stage ≥F2) and advanced fibrosis (≥F3) as outcomes for variable selection in the development cohort and built the model with fractional polynomial regression. In all cohorts, we independently validated the tool for prediction of elevated liver stiffness by transient elastography (≥8 kPa and ≥12 kPa) and for the 2-year and 5-year risk of liver-related events. Diagnostic performance was assessed using the area under the receiver operating curve (AUC), with clinical performance evaluated through sensitivity, specificity, and Harrell's C-statistic for prognostic purposes.

Findings
In the development cohort (n=462), we derived 466 multivariable models consisting of age in combination with three to nine variables from a list of nine blood tests (aspartate aminotransferase, alkaline phosphatase, gamma-glutamyl transferase, international normalised ratio, albumin, sodium, bilirubin, platelet count, and cholesterol). In the development cohort, LiverPRO diagnosed clinically significant fibrosis with good accuracy (transient elastography ≥8 kPa area under the receiver operating characteristic curve [AUC] 0·86 [95% CI 0·83–0·90]). In the DECIDE validation cohort (n=6468), LiverPRO detected participants with a transient elastography of 8 kPa or higher with good accuracy (AUC 0·80 [95% CI 0·78–0·82]), comparable to enhanced liver fibrosis testing (0·78 [0·75–0·80]) and the LiverRisk score (0·81 [0·79–0·84]), but superior to the Fibrosis-4 index (0·69 [0·66–0·72]) and NAFLD Fibrosis Score (0·74 [0·72–0·77]). Findings were consistent in three other validation cohorts (n=2554), albeit accuracy was slightly lower. Using a rule-out cutoff of less than 25% (indicating no further examinations required), LiverPRO had a rule-out sensitivity of 80·6% (95% CI 76·4–84·3) and a rule-out negative predictive value of 98·0% (95% CI 97·5–98·4) in the DECIDE cohort. Similarly, with a rule-out cutoff of less than 1·3, FIB-4 had a rule-out sensitivity of 53·8% (48·5–58·9) and a rule-out negative predictive value of 95·8% (95·1–96·4). For rule-in thresholds, using a cutoff of more than 65% (indicating referral to a hepatologist required) LiverPRO had a rule-in specificity of 95·5% (95% CI 94·9–96·0) and a rule-in positive predictive value of 33·0% (95% CI 28·5–37·8) in the DECIDE cohort whereas FIB-4, with a rule-in threshold of 2·67, had a rule-in specificity of 98·7% (94·9–96·0) and a rule-in positive predictive value 35·6% (27·0–44·9). Using UK Biobank data, LiverPRO predicted liver-related events with a C-statistic of 0·80 (0·77–0·84) at 2 years.

Interpretation
LiverPRO reliably identifies clinically significant liver fibrosis and elevated liver stiffness, predicts the risk of liver-related events in primary care, and is adaptable to the availability of different liver blood test analytes. On the basis of these results LiverPRO was certified according to IVDR class b, obtaining European CE approval in 2024.

Citation

Lindvig, K. P., Thorhauge, K. H., Hansen, J. K., Kjærgaard, M., Hansen, C. D., Johansen, S., Lyngbeck, E., Israelsen, M., Andersen, P., Bech, K. T., Torp, N., Schnefeld, H. L., Detlefsen, S., Möller, S., Graupera, I., Trelle, M. B., Antonsen, S., Harris, R., Kårhus, L. L., Bjørnsbo, K. S., …Thiele, M. (2025). Development, validation, and prognostic evaluation of LiverPRO for the prediction of significant liver fibrosis in primary care: a prospective cohort study. The Lancet Gastroenterology & Hepatology, 10(1), 55-67. https://doi.org/10.1016/S2468-1253%2824%2900274-7

Journal Article Type Article
Acceptance Date Jan 3, 2025
Online Publication Date Dec 11, 2024
Publication Date 2025-01
Deposit Date Feb 5, 2025
Publicly Available Date Feb 18, 2025
Journal The Lancet Gastroenterology & Hepatology
Print ISSN 2468-1253
Electronic ISSN 2468-1253
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 10
Issue 1
Pages 55-67
DOI https://doi.org/10.1016/S2468-1253%2824%2900274-7
Public URL https://nottingham-repository.worktribe.com/output/43213023
Publisher URL https://www.thelancet.com/journals/langas/article/PIIS2468-1253(24)00274-7/abstract
Related Public URLs https://www.sciencedirect.com/science/article/abs/pii/S2468125324002747

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