Paul Calès, Clémence M. Canivet, Charlotte Costentin, Adrien Lannes, Frédéric Oberti, Isabelle Fouchard, Gilles Hunault, Victor de Lédinghen, Jérôme Boursier
{"title":"A new generation of non-invasive tests of liver fibrosis with improved accuracy in MASLD","authors":"Paul Calès, Clémence M. Canivet, Charlotte Costentin, Adrien Lannes, Frédéric Oberti, Isabelle Fouchard, Gilles Hunault, Victor de Lédinghen, Jérôme Boursier","doi":"10.1016/j.jhep.2024.11.049","DOIUrl":null,"url":null,"abstract":"<h3>Background & aims</h3>The accuracy of non-invasive tests (NITs) should be ≥80% (EASL recommendation). We aimed to compare the accuracies of the recommended NITs for advanced fibrosis in MASLD and improve NIT accuracy.<h3>Methods</h3>1051 MASLD patients were allocated to derivation (n=637) and validation (n=414) sets. The main outcome (Kleiner F3+F4) was primarily evaluated by accuracy. Conventional NITs were FIB-4, Fibrotest, FibroMeter, liver stiffness measurement (LSM by Fibroscan), Elasto-FibroMeter (FibroMeter-LSM combination), and ELF in 396 patients. We used machine-learning-optimized multitargeting to develop new NITs: FIB-9 (including 9 usual biomarkers), FIB-11 (adding 2 specialized blood markers) and FIB-12 (adding LSM).<h3>Results</h3>In the whole population, the accuracies of recommended NITs were insufficient, Fibrotest: 68.0%, FIB-4: 71.2%, FibroMeter: 75.1%, LSM: 75.9%, Elasto-FibroMeter: 78.6%. Therefore, new NITs (FIB-9, FIB-11, FIB-12) were developed in the derivation set. In the validation set, AUROCs were, FIB-4: 0.757, Fibrotest: 0.766, FibroMeter: 0.850, LSM: 0.852, FIB-9: 0.863, FIB-11: 0.880, Elasto-FibroMeter: 0.894, FIB-12: 0.912 (p<0.001). The FIB-12 AUROC was superior to the ELF AUROC (0.906 vs 0.865, p=0.039). Accuracies were, FIB-4: 68.8%, Fibrotest: 68.6%, LSM: 75.4%, FibroMeter: 76.3%, FIB-9: 78.7%, Elasto-FibroMeter: 79.7%, FIB-11: 80.2%, FIB-12: 83.3% (p<0.001 between all NITs). Scores were segmented by ≥90% sensitivity and specificity cut-offs or NIT match, which individualized subgroups with NIT accuracies ≥80%, e.g. for FIB-9: 85.8% in 68.1% of patients using two cut-offs and 83.2% in 71.7% of patients where FIB-9 agreed with FIB-4.<h3>Conclusions</h3>Recommended NITs had accuracies <80% for advanced fibrosis in MASLD. Several NIT segmentations individualized subgroups with accuracies ≥80%. New NITs further improved accuracy. The simple FIB-9 (available via a free calculator) provided accuracy equaling or surpassing recommended NITs. FIB-12 outperformed other NITs.<h3>Impact and implications</h3>Currently recommended non-invasive tests (NITs) have insufficient accuracy (<80%) for the diagnosis of advanced fibrosis in MASLD. Therefore, we developed three new NITs with new statistical techniques. Thus, FIB-9 (available via a free calculator), including nine usual blood markers, equaled the performance of patented NITs. FIB-11, adding two specialized blood markers, and FIB-12, adding liver stiffness, had accuracy >80%. FIB-12, outperformed all other NITs. FIB-9 is suitable for screening and FIB-11 or FIB-12 for diagnosis.","PeriodicalId":15888,"journal":{"name":"Journal of Hepatology","volume":"1 1","pages":""},"PeriodicalIF":26.8000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hepatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jhep.2024.11.049","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background & aims
The accuracy of non-invasive tests (NITs) should be ≥80% (EASL recommendation). We aimed to compare the accuracies of the recommended NITs for advanced fibrosis in MASLD and improve NIT accuracy.
Methods
1051 MASLD patients were allocated to derivation (n=637) and validation (n=414) sets. The main outcome (Kleiner F3+F4) was primarily evaluated by accuracy. Conventional NITs were FIB-4, Fibrotest, FibroMeter, liver stiffness measurement (LSM by Fibroscan), Elasto-FibroMeter (FibroMeter-LSM combination), and ELF in 396 patients. We used machine-learning-optimized multitargeting to develop new NITs: FIB-9 (including 9 usual biomarkers), FIB-11 (adding 2 specialized blood markers) and FIB-12 (adding LSM).
Results
In the whole population, the accuracies of recommended NITs were insufficient, Fibrotest: 68.0%, FIB-4: 71.2%, FibroMeter: 75.1%, LSM: 75.9%, Elasto-FibroMeter: 78.6%. Therefore, new NITs (FIB-9, FIB-11, FIB-12) were developed in the derivation set. In the validation set, AUROCs were, FIB-4: 0.757, Fibrotest: 0.766, FibroMeter: 0.850, LSM: 0.852, FIB-9: 0.863, FIB-11: 0.880, Elasto-FibroMeter: 0.894, FIB-12: 0.912 (p<0.001). The FIB-12 AUROC was superior to the ELF AUROC (0.906 vs 0.865, p=0.039). Accuracies were, FIB-4: 68.8%, Fibrotest: 68.6%, LSM: 75.4%, FibroMeter: 76.3%, FIB-9: 78.7%, Elasto-FibroMeter: 79.7%, FIB-11: 80.2%, FIB-12: 83.3% (p<0.001 between all NITs). Scores were segmented by ≥90% sensitivity and specificity cut-offs or NIT match, which individualized subgroups with NIT accuracies ≥80%, e.g. for FIB-9: 85.8% in 68.1% of patients using two cut-offs and 83.2% in 71.7% of patients where FIB-9 agreed with FIB-4.
Conclusions
Recommended NITs had accuracies <80% for advanced fibrosis in MASLD. Several NIT segmentations individualized subgroups with accuracies ≥80%. New NITs further improved accuracy. The simple FIB-9 (available via a free calculator) provided accuracy equaling or surpassing recommended NITs. FIB-12 outperformed other NITs.
Impact and implications
Currently recommended non-invasive tests (NITs) have insufficient accuracy (<80%) for the diagnosis of advanced fibrosis in MASLD. Therefore, we developed three new NITs with new statistical techniques. Thus, FIB-9 (available via a free calculator), including nine usual blood markers, equaled the performance of patented NITs. FIB-11, adding two specialized blood markers, and FIB-12, adding liver stiffness, had accuracy >80%. FIB-12, outperformed all other NITs. FIB-9 is suitable for screening and FIB-11 or FIB-12 for diagnosis.
期刊介绍:
The Journal of Hepatology is the official publication of the European Association for the Study of the Liver (EASL). It is dedicated to presenting clinical and basic research in the field of hepatology through original papers, reviews, case reports, and letters to the Editor. The Journal is published in English and may consider supplements that pass an editorial review.