Automated Passive Case-Finding for Advanced Liver Fibrosis in MASLD: The LiverSeek Programme (LiverSeek)
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)
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.
研究概览
详细说明
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.
研究类型
注册 (估计的)
联系人和位置
学习联系方式
- 姓名：Luis Ibáñez-Samaniego, MD, PhD
- 电话号码：+34 91 586 8308
- 邮箱：luis.ibanez@salud.madrid.org
学习地点
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Madrid
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Madrid、Madrid、西班牙、28007
- 招聘中
- Hospital General Universitario Gregorio Marañón
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接触：
- Luis Ibáñez-Samaniego, MD, PhD
- 电话号码：+34 91 586 8308
- 邮箱：luis.ibanez@salud.madrid.org
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接触：
- Susana Sanchez Berdial, Pharm
- 邮箱：ssberdial@salud.madrid.org
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参与标准
资格标准
适合学习的年龄
- 成人
- 年长者
接受健康志愿者
取样方法
研究人群
描述
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.
学习计划
研究是如何设计的？
设计细节
队列和干预
团体/队列 |
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NIT-Negative Cohort
High-risk patients (age 50-75 years with ≥1 metabolic risk criterion) in whom FIB-4 was automatically calculated by the LIS and found to be ≤1.30.
These patients do not undergo further NIT evaluation and are followed as the non-exposed reference cohort.
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NIT-Positive Cohort
High-risk patients with FIB-4 >1.30 in whom ELF and MASEF were reflexively determined from the same serum sample.
Patients with ELF ≥9.8 or MASEF ≥0.33 are referred to the Hepatology Advanced Practice Nurse for VCTE (FibroScan) and clinical assessment.
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研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Prevalence of hepatic fibrosis detected by the automated single-step case-finding strategy
大体时间：Within 3 months of index blood test
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Proportion of high-risk patients with a positive result on at least one confirmatory NIT (ELF ≥9.8, MASEF ≥0.33, or VCTE ≥8.0 kPa) among all patients in whom FIB-4 was automatically calculated by the LIS
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Within 3 months of index blood test
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Diagnostic accuracy of FIB-4+ELF versus FIB-4+MASEF for histologically-confirmed significant fibrosis (≥F2)
大体时间：At time of liver biopsy
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Head-to-head AUROC comparison (DeLong method) of sequential NIT algorithms at pre-specified thresholds (ELF ≥9.8; MASEF ≥0.33) in biopsied patients.
Sensitivity, specificity, PPV, NPV reported.
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At time of liver biopsy
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Diagnostic accuracy of sequential NIT algorithms for at-risk MASH
大体时间：At time of liver biopsy
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AUROC comparison of FIB-4+ELF, FIB-4+MASEF, and FIB-4+FAST (threshold ≥0.50) for histological at-risk MASH (NAS ≥4 + fibrosis ≥F2, Kleiner criteria) in biopsied patients
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At time of liver biopsy
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Cost-effectiveness of the automated single-step strategy versus standard of care
大体时间：At study completion (September 2027)
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Health-economic analysis: diagnostic yield per euro spent, cost per case detected, and cost per QALY gained
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At study completion (September 2027)
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合作者和调查者
合作者
调查人员
- 学习椅：Rafael Bañares, Full-Professor of Medicine、Universidad Complutense de Madrid, President of Spanish Association for the Study of the Liver (AEEH)
- 学习椅：Magdalena Salcedo, MD, PhD、President of the Spanish Society of Liver Transplantation (SETH)
出版物和有用的链接
一般刊物
- 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.
- 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, Bonfill E, Korenjak M, Fournier-Poizat C, Llorca A, Gourmelon MC, de Koning HJ, Perez-Guasch M, Thu Ma A, Juanola A, Pose E, Arteaga I, Villesen I, Hansen JK, Calvino V, Gagliardi R, Boutouria B, Pastrovic F, Kujundzic PD, Zilincanova D, Sulejova KK, Rojo D, de Knegt RJ, Melo MD, Torrejon A, Hernandez-Ibanez R, Hoyo J, Munoz L, Lopez-Martos R, Griffin SJ, Manns M, Karlsen TH, Newsome PN, Kamath PS, Banares R, Guha IN, Schattenberg JM, Lammert F, Tsochatzis E, Brouwer WP, Pericas JM, Skladany L, Grgurevic I, Roulot D, Angeli P, Krag A, Caballeria L, Gines P; LiverScreen Consortium Investigators. Prevalence of liver fibrosis in the general population (the LiverScreen project): a multinational European cohort study. Lancet. 2026 Apr 11;407(10537):1448-1458. doi: 10.1016/S0140-6736(26)00354-5.
- 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-Gines J, Morillas RM, Toran P, Navarrete JM, Torrejon A, Fournier C, Llorca A, Arslanow A, de Koning HJ, Cucchietti F, Manns M, Newsome PN, Hernaez R, Allen A, Angeli P, de Knegt RJ, Karlsen TH, Galle P, Wong VW, Fabrellas N, Castera L, Krag A, Lammert F, Kamath PS, Gines P; LiverScreen Consortium Investigators. Development, validation, and prognostic evaluation of a risk score for long-term liver-related outcomes in the general population: a multicohort study. Lancet. 2023 Sep 16;402(10406):988-996. doi: 10.1016/S0140-6736(23)01174-1. Epub 2023 Aug 9.
- 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 Apr 21.
- 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 (MASEF). Hepatology. 2024 Jan 1;79(1):135-148. doi: 10.1097/HEP.0000000000000542. Epub 2023 Jul 24.
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (估计的)
研究完成 (估计的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
与本研究相关的术语
其他相关的 MeSH 术语
其他研究编号
- HEP-OSF2024 (其他标识符：Hospital General Universitario Gregorio Marañón)
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IPD 计划说明
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