Automated Passive Case-Finding for Advanced Liver Fibrosis in MASLD: The LiverSeek Programme

Official title

Towards Universal Screening for Metabolic Dysfunction-Associated Liver Fibrosis in Primary Care: Evaluation of a Single-Step, Laboratory Informatión System-Driven Automated Case-Finding Strategy (LiverSeek)

Overview

LiverSeek is a fully automated, passive case-finding programme for advanced liver fibrosis associated with metabolic dysfunction-associated steatotic liver disease (MASLD) in primary care. The programme operates through the Laboratory Information System (LIS; Modulab/Biwer Analytics) of the Clinical Biochemistry Laboratory at Hospital General Universitario Gregorio Marañón (HGUGM), covering approximately 350,000 inhabitants across 11 peri-urban primary care centres affiliated to SERMAS (Servicio Madrileño de Salud) in Madrid, Spain. When a high-risk patient (age 50-75 years with ≥1 of: ALT above ULN + HbA1c ≥6.5%; ALT above ULN + BMI \>30; BMI \>30 + HbA1c ≥6.5%) undergoes a routine blood test in primary care, the LIS automatically calculates FIB-4. If FIB-4 \>1.30, the system reflexively orders ELF and MASEF from the same serum sample, without any action required from the primary care clinician. Patients with a positive second-step NIT (ELF ≥9.8 or MASEF ≥0.33) receive an automatic alert directing them to the Hepatology Advanced Practice Nurse for VCTE (FibroScan) and clinical evaluation. The primary objective is to evaluate the prevalence of hepatic fibrosis in the high-risk population using this single-step automated strategy. Secondary objectives include head-to-head diagnostic comparison of FIB-4+ELF vs FIB-4+MASEF vs FIB-4+FAST for histologically-confirmed endpoints (significant fibrosis ≥F2, advanced fibrosis ≥F3, at-risk MASH), evaluation of the Liver Risk Score, and a health-economic analysis. A sub-study evaluates a nurse-led structured lifestyle intervention in NIT-positive patients.

Detailed description

LiverSeek addresses a well-recognised implementation gap: despite guideline recommendations to screen for liver fibrosis in high-risk metabolic patients, fewer than one-third of eligible patients are assessed in clinical practice. Encounter-triggered programmes (e.g., SOLID, PRELUDE1) require primary care clinicians to initiate the assessment process, creating a dependency on clinician awareness and workload capacity that limits scalability.

LiverSeek adopts a fundamentally different model: the screening process is initiated passively by the LIS infrastructure, triggered by existing routine blood test data, with zero additional burden on the primary care clinician. This passive architecture is the programme's principal conceptual innovation.

NIT pathway and pre-specified thresholds:

Step 1 (LIS-triggered): FIB-4 calculated automatically. Threshold: \>1.30 (EASL 2024) Step 2 (reflex, same serum sample): ELF (threshold ≥9.8) and MASEF (threshold ≥0.33, Youden J-point) Step 2 alternative (VCTE-based): VCTE ≥8.0 kPa; FAST score ≥0.50 (Youden J-point) NIT-positive patients → Hepatology APN visit (VCTE, anthropometrics, clinical assessment, EQ-5D-5L, IEXPAC, MEDAS dietary questionnaire) NIT-positive patients with VCTE ≥8.0 kPa → Hepatology physician consultation ± liver biopsy per clinical criteria

Histological sub-study: Liver biopsy specimens are scored using the NAFLD Activity Score (Kleiner 2005). At-risk MASH is defined as NAS ≥4 + fibrosis stage ≥F2. A target of approximately 300 evaluable biopsies is projected.

Lifestyle intervention sub-study: NIT-positive patients receive a single structured APN-delivered visit with a personalised SMART lifestyle protocol, with 24-week reassessment. Outcomes include changes in LSM, CAP, ALT, AST, GGT, HbA1c, FIB-4, and body composition (BIA).

Data management: REDCap electronic case report form, pseudonymised, restricted access.

Statistical approach: Prevalence with 95% CI (primary endpoint); AUROC with DeLong test for head-to-head NIT comparisons; sensitivity, specificity, PPV, NPV, LR+ and LR- for sequential algorithms; kappa for concordance. Health-economic analysis via CIBERehd.

Primary outcome measures

• Prevalence of hepatic fibrosis detected by the automated single-step case-finding strategy [Time frame: Within 3 months of index blood test]

Secondary outcome measures (3)

• Diagnostic accuracy of FIB-4+ELF versus FIB-4+MASEF for histologically-confirmed significant fibrosis (≥F2) [Time frame: At time of liver biopsy]
• Diagnostic accuracy of sequential NIT algorithms for at-risk MASH [Time frame: At time of liver biopsy]
• Cost-effectiveness of the automated single-step strategy versus standard of care [Time frame: At study completion (September 2027)]

Eligibility criteria

Inclusion criteria

• Age between 50 and 75 years (inclusive)
• Routine blood test processed in the Clinical Biochemistry Laboratory of Hospital General Universitario Gregorio Marañón, ordered by a primary care physician in one of the 11 affiliated SERMAS primary care centres
• Presence of at least one of the following metabolic risk factor combinations:

• ALT above the upper limit of normal AND HbA1c ≥6.5%
• ALT above the upper limit of normal AND BMI >30 kg/m²
• BMI >30 kg/m² AND HbA1c ≥6.5%

Exclusion criteria

• Age <50 years or >75 years
• Known pre-existing liver disease (significant or advanced fibrosis, cirrhosis, hepatocellular carcinoma, prior liver transplantation)
• Prior fibrosis assessment within the preceding 12 months.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model

Cohort

Study locations

Spain · 1 center

• Hospital General Universitario Gregorio Marañón — Madrid

Publications

• Graupera I, Thiele M, Castera L, Pera G, Piano S, Soria A, Fabrellas N, Toran P, Chacon C, Bech KT, Schnefeld HL, Tonon M, Incicco S, Moussy J, Levy V, Madir A, Kukic S, Jan Havaj D, Adamcova-Selcanova S, Pustjens J, van Kleef LA, Jimenez-Masip A, Pages L, Zoncape M, Weber SN, Galle PR, Harris R, Ibanez-Samaniego L, Morillas RM, Diaz A, Detlefsen S, Serra-Burriel M, Arslanow A, Andersen P, Pich J, PMID 41969010
• Serra-Burriel M, Juanola A, Serra-Burriel F, Thiele M, Graupera I, Pose E, Pera G, Grgurevic I, Caballeria L, Piano S, van Kleef L, Reichert M, Roulot D, Pericas JM, Schattenberg JM, Tsochatztis EA, Guha IN, Garcia-Retortillo M, Hernandez R, Hoyo J, Fuentes M, Exposito C, Martinez A, Such P, Madir A, Detlefsen S, Tonon M, Martini A, Ma AT, Pich J, Bonfill E, Juan M, Soria A, Carol M, Gratacos-Gine PMID 37572680
• European Association for the Study of the Liver (EASL); European Association for the Study of Diabetes (EASD); European Association for the Study of Obesity (EASO). EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). J Hepatol. 2024 Sep;81(3):492-542. doi: 10.1016/j.jhep.2024.04.031. Epub 2024 Jun 7. PMID 38851997
• Kjaergaard M, Lindvig KP, Thorhauge KH, Andersen P, Hansen JK, Kastrup N, Jensen JM, Hansen CD, Johansen S, Israelsen M, Torp N, Trelle MB, Shan S, Detlefsen S, Antonsen S, Andersen JE, Graupera I, Gines P, Thiele M, Krag A. Using the ELF test, FIB-4 and NAFLD fibrosis score to screen the population for liver disease. J Hepatol. 2023 Aug;79(2):277-286. doi: 10.1016/j.jhep.2023.04.002. Epub 2023 Ap PMID 37088311
• Noureddin M, Truong E, Mayo R, Martinez-Arranz I, Minchole I, Banales JM, Arrese M, Cusi K, Arias-Loste MT, Bruha R, Romero-Gomez M, Iruzubieta P, Aller R, Ampuero J, Calleja JL, Ibanez-Samaniego L, Aspichueta P, Martin-Duce A, Kushner T, Ortiz P, Harrison SA, Anstee QM, Crespo J, Mato JM, Sanyal AJ. Serum identification of at-risk MASH: The metabolomics-advanced steatohepatitis fibrosis score (MA PMID 37505221

Identifiers

NCT: NCT07658755 · HEP-OSF2024 · HEP-OSF2024

Primary sources (government registries)

• ClinicalTrials.gov (US NIH)

View this study on ClinicalTrials.gov ↗