Katrine P Lindvig
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
Authors
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
Professor NEIL GUHA neil.guha@nottingham.ac.uk
PROFESSOR OF HEPATOLOGY
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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