NCT05712603

Brief Summary

Non-alcoholic fatty liver disease (NAFLD) is a liver disease, caused by storage of fat in the liver. The most-important risk-factors are being overweight, and disorders in sugar and cholesterol handling of the body. On average does around 30% of the population worldwide have any signs of fatty liver. Most people will not get severe complaints as a result of their fatty liver. But in some of them, the fat storage will lead to hepatitis. This causes damage to the liver which can eventually lead to scarring of the liver, and in some patients to cirrhosis. This possibly can cause liver failure, liver cancer, an several complaints which reduce the quality of life. There are several tests which can help in detecting scarring of the liver. However, the scientific world still does not know well enough which test works best and if they perhaps might work better if they are used together. In this study these questions will be investigated in order to design a care path which does several tests consecutively. The goal is that this will make it possible to easily detect a severely diseased liver and that this will eventually help to detect patients earlier so they can be treated earlier and complications of the disease might be reduced. Moreover, is the goal that this study will lead to a decrease in unnecessary referrals to a hepatologist, resulting in a reduction in invasive diagnostic interventions. Hospital specialists who think that their patient might be at risk for advanced liver disease, can refer a patient to this study. Participants will go to the hospital for one study visit where several tests will be done which are designed to detect liver scarring. Depending on the results, a participant will be referred to a hepatologist for more extensive diagnostics or referred back to the referring specialist with advice for management of the disease.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
655

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Oct 2022

Typical duration for all trials

Geographic Reach
1 country

3 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

October 1, 2022

Completed
18 days until next milestone

First Submitted

Initial submission to the registry

October 19, 2022

Completed
4 months until next milestone

First Posted

Study publicly available on registry

February 3, 2023

Completed
1.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2024

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

October 15, 2024

Completed
Last Updated

October 22, 2024

Status Verified

October 1, 2024

Enrollment Period

1.7 years

First QC Date

October 19, 2022

Last Update Submit

October 21, 2024

Conditions

Keywords

Care pathNon-alcoholic Fatty Liver DiseaseFIB4FibroScanELF-test

Outcome Measures

Primary Outcomes (2)

  • Diagnostic accuracy of the three different care paths to detect advanced fibrosis.

    The diagnostic accuracy of the three different sequential care path algorithms to detect underlying advanced (≥F3) liver fibrosis, assessed using sensitivity, specificity, predictive values and area under the receiver characteristics (AUROC) curve

    The time frame is based on the time between the study visit and the subsequent read-outs of the EHR, up to 24 months later

  • Diagnostic performance of the three different care paths to increase correct and decrease incorrect referrals.

    The diagnostic performance of the three different sequential care path algorithms, defined as the increase in correct and the decrease in unnecessary referrals when using these care paths to detect underlying advanced (≥F3) NAFLD-fibrosis compared to regular care.

    The time frame is based on the time between the study visit and the subsequent read-outs of the EHR, up to 24 months later

Secondary Outcomes (8)

  • Cost effectiveness of the different diagnostic modalities/care path algorithms

    The time frame is based on the time between the study visit and the subsequent read-outs of the EHR, up to 24 months later.

  • Number of patients coded for NAFLD before and after the study

    through study completion, an average of 1 year

  • The diagnostic accuracy of the FIB4-score for detecting advanced fibrosis

    The time frame is based on the time between the study visit and the subsequent read-outs of the EHR, up to 24 months later.

  • The diagnostic accuracy of the ELF-test for detecting advanced fibrosis

    The time frame is based on the time between the study visit and the subsequent read-outs of the EHR, up to 24 months later.

  • The diagnostic accuracy of VCTE for detecting advanced fibrosis

    The time frame is based on the time between the study visit and the subsequent read-outs of the EHR, up to 24 months later.

  • +3 more secondary outcomes

Study Arms (3)

Prospective care path arm

Participants who enter the care path will make up the prospective care path arm. In patients entering the care path three diagnostic tests for liver fibrosis will be performed. FIB4-score, Vibration controlled transient elastography and Enhanced Liver Fibrosis test

Diagnostic Test: FIB4-scoreDiagnostic Test: Vibration controlled transient elastographyDiagnostic Test: Enhanced Liver Fibrosis test

Prospective arm of 'regular care'

Patients who are referred to the hepatologist in participating centers during the study period without using the care path (e.g. because of altered liver function tests for instance), will be the prospective 'regular care' arm

Retrospective arm of 'regular care'

The investigators will do an data extraction of the electronic health records of patients referred to the hepatologist in the five years prior to the study. They will make up the retrospective comparative arm of regular care

Interventions

FIB4-scoreDIAGNOSTIC_TEST

A score which estimates the risk for advanced liver fibrosis, based on: age, ALT, AST and thrombocytes

Prospective care path arm

VCTE measures the speed of a mechanically generated shear wave across the liver to derive a liver stiffness measurement (LSM), a marker of hepatic fibrosis

Also known as: VCTE
Prospective care path arm

The ELF-test is a non-invasive blood test that measures three direct markers of liver fibrosis: hyaluronic acid (HA), procollagen III amino-terminal peptide (PIIINP), and tissue inhibitor of matrix metalloproteinase 1 (TIMP-1).

Also known as: ELF-test
Prospective care path arm

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients will be recruited from three different academic medical centres in the Netherlands, namely Radboudumc, LUMC and Amsterdam UMC. Patients who are suspected of underlying severe NAFLD-fibrosis by their treating physician are eligible for inclusion in the study. This suspection will most often arise because of risk factors as obesity, diabetes type 2, hypercholesterolemia or metabolic syndrome, or proven heaptic steatosis because of an conventional ultrasound. Patients are referred from hospital specialists

You may qualify if:

  • Age ≥ 18 years;
  • Suspected by treating physician to suffer from a severe stage of NAFLD-fibrosis.

You may not qualify if:

  • Previous diagnosis of advanced (≥F3) liver fibrosis;
  • Any other known chronic liver disease (alcoholic steatohepatitis, hepatitis B, hepatitis C, autoimmune hepatitis, hemochromatosis, Wilsons disease, alpha-1-antitrypsin deficiency);
  • Drugs that may cause drug-induced hepatic steatosis, (table provided elsewhere)
  • Present excessive alcohol use, defined as \> 2 units/day for women and \> 3 units/day for men;
  • A psychiatric, addictive or any other disorder that compromises the subject's ability to understand the study content and to give written informed consent for the participation in the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Radboudumc

Nijmegen, Gelderland, 6525 GA, Netherlands

Location

Amsterdam UMC, location AMC

Amsterdam, North Holland, 1105AZ, Netherlands

Location

Leiden universitair medisch centrum

Leiden, South Holland, 2333 ZA, Netherlands

Location

Related Publications (22)

  • Stols-Goncalves D, Hovingh GK, Nieuwdorp M, Holleboom AG. NAFLD and Atherosclerosis: Two Sides of the Same Dysmetabolic Coin? Trends Endocrinol Metab. 2019 Dec;30(12):891-902. doi: 10.1016/j.tem.2019.08.008. Epub 2019 Oct 17.

    PMID: 31630897BACKGROUND
  • Tushuizen ME, Holleboom AG, Koot BGP, Blokzijl H, van Mil SWC, Koek GH. [Non-alcoholic fatty liver disease; a full-bodied epidemic]. Ned Tijdschr Geneeskd. 2020 Feb 27;164:D4096. Dutch.

    PMID: 32267638BACKGROUND
  • Lazarus JV, Ekstedt M, Marchesini G, Mullen J, Novak K, Pericas JM, Roel E, Romero-Gomez M, Ratziu V, Tacke F, Cortez-Pinto H, Anstee QM; EASL International Liver Foundation NAFLD Policy Review Collaborators. A cross-sectional study of the public health response to non-alcoholic fatty liver disease in Europe. J Hepatol. 2020 Jan;72(1):14-24. doi: 10.1016/j.jhep.2019.08.027. Epub 2019 Sep 10.

    PMID: 31518646BACKGROUND
  • Harris R, Harman DJ, Card TR, Aithal GP, Guha IN. Prevalence of clinically significant liver disease within the general population, as defined by non-invasive markers of liver fibrosis: a systematic review. Lancet Gastroenterol Hepatol. 2017 Apr;2(4):288-297. doi: 10.1016/S2468-1253(16)30205-9. Epub 2017 Feb 1.

    PMID: 28404158BACKGROUND
  • Crossan C, Tsochatzis EA, Longworth L, Gurusamy K, Davidson B, Rodriguez-Peralvarez M, Mantzoukis K, O'Brien J, Thalassinos E, Papastergiou V, Burroughs A. Cost-effectiveness of non-invasive methods for assessment and monitoring of liver fibrosis and cirrhosis in patients with chronic liver disease: systematic review and economic evaluation. Health Technol Assess. 2015 Jan;19(9):1-409, v-vi. doi: 10.3310/hta19090.

    PMID: 25633908BACKGROUND
  • Tapper EB, Sengupta N, Hunink MG, Afdhal NH, Lai M. Cost-Effective Evaluation of Nonalcoholic Fatty Liver Disease With NAFLD Fibrosis Score and Vibration Controlled Transient Elastography. Am J Gastroenterol. 2015 Sep;110(9):1298-304. doi: 10.1038/ajg.2015.241. Epub 2015 Aug 25.

    PMID: 26303130BACKGROUND
  • Srivastava A, Gailer R, Tanwar S, Trembling P, Parkes J, Rodger A, Suri D, Thorburn D, Sennett K, Morgan S, Tsochatzis EA, Rosenberg W. Prospective evaluation of a primary care referral pathway for patients with non-alcoholic fatty liver disease. J Hepatol. 2019 Aug;71(2):371-378. doi: 10.1016/j.jhep.2019.03.033. Epub 2019 Apr 6.

    PMID: 30965069BACKGROUND
  • Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016 Jul;64(1):73-84. doi: 10.1002/hep.28431. Epub 2016 Feb 22.

    PMID: 26707365BACKGROUND
  • Estes C, Razavi H, Loomba R, Younossi Z, Sanyal AJ. Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease. Hepatology. 2018 Jan;67(1):123-133. doi: 10.1002/hep.29466. Epub 2017 Dec 1.

    PMID: 28802062BACKGROUND
  • Younossi Z, Anstee QM, Marietti M, Hardy T, Henry L, Eslam M, George J, Bugianesi E. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol. 2018 Jan;15(1):11-20. doi: 10.1038/nrgastro.2017.109. Epub 2017 Sep 20.

    PMID: 28930295BACKGROUND
  • Ruissen MM, Mak AL, Beuers U, Tushuizen ME, Holleboom AG. Non-alcoholic fatty liver disease: a multidisciplinary approach towards a cardiometabolic liver disease. Eur J Endocrinol. 2020 Sep;183(3):R57-R73. doi: 10.1530/EJE-20-0065.

    PMID: 32508312BACKGROUND
  • Taylor RS, Taylor RJ, Bayliss S, Hagstrom H, Nasr P, Schattenberg JM, Ishigami M, Toyoda H, Wai-Sun Wong V, Peleg N, Shlomai A, Sebastiani G, Seko Y, Bhala N, Younossi ZM, Anstee QM, McPherson S, Newsome PN. Association Between Fibrosis Stage and Outcomes of Patients With Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis. Gastroenterology. 2020 May;158(6):1611-1625.e12. doi: 10.1053/j.gastro.2020.01.043. Epub 2020 Feb 4.

    PMID: 32027911BACKGROUND
  • Dulai PS, Singh S, Patel J, Soni M, Prokop LJ, Younossi Z, Sebastiani G, Ekstedt M, Hagstrom H, Nasr P, Stal P, Wong VW, Kechagias S, Hultcrantz R, Loomba R. Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: Systematic review and meta-analysis. Hepatology. 2017 May;65(5):1557-1565. doi: 10.1002/hep.29085. Epub 2017 Mar 31.

    PMID: 28130788BACKGROUND
  • Sumida Y, Nakajima A, Itoh Y. Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. World J Gastroenterol. 2014 Jan 14;20(2):475-85. doi: 10.3748/wjg.v20.i2.475.

    PMID: 24574716BACKGROUND
  • Alexander M, Loomis AK, van der Lei J, Duarte-Salles T, Prieto-Alhambra D, Ansell D, Pasqua A, Lapi F, Rijnbeek P, Mosseveld M, Avillach P, Egger P, Dhalwani NN, Kendrick S, Celis-Morales C, Waterworth DM, Alazawi W, Sattar N. Non-alcoholic fatty liver disease and risk of incident acute myocardial infarction and stroke: findings from matched cohort study of 18 million European adults. BMJ. 2019 Oct 8;367:l5367. doi: 10.1136/bmj.l5367.

    PMID: 31594780BACKGROUND
  • Graupera I, Thiele M, Serra-Burriel M, Caballeria L, Roulot D, Wong GL, Fabrellas N, Guha IN, Arslanow A, Exposito C, Hernandez R, Aithal GP, Galle PR, Pera G, Wong VW, Lammert F, Gines P, Castera L, Krag A; Investigators of the LiverScreen Consortium. Low Accuracy of FIB-4 and NAFLD Fibrosis Scores for Screening for Liver Fibrosis in the Population. Clin Gastroenterol Hepatol. 2022 Nov;20(11):2567-2576.e6. doi: 10.1016/j.cgh.2021.12.034. Epub 2021 Dec 29.

    PMID: 34971806BACKGROUND
  • Marjot T, Moolla A, Cobbold JF, Hodson L, Tomlinson JW. Nonalcoholic Fatty Liver Disease in Adults: Current Concepts in Etiology, Outcomes, and Management. Endocr Rev. 2020 Jan 1;41(1):bnz009. doi: 10.1210/endrev/bnz009.

    PMID: 31629366BACKGROUND
  • Eddowes PJ, Sasso M, Allison M, Tsochatzis E, Anstee QM, Sheridan D, Guha IN, Cobbold JF, Deeks JJ, Paradis V, Bedossa P, Newsome PN. Accuracy of FibroScan Controlled Attenuation Parameter and Liver Stiffness Measurement in Assessing Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology. 2019 May;156(6):1717-1730. doi: 10.1053/j.gastro.2019.01.042. Epub 2019 Jan 25.

    PMID: 30689971BACKGROUND
  • Siddiqui MS, Vuppalanchi R, Van Natta ML, Hallinan E, Kowdley KV, Abdelmalek M, Neuschwander-Tetri BA, Loomba R, Dasarathy S, Brandman D, Doo E, Tonascia JA, Kleiner DE, Chalasani N, Sanyal AJ; NASH Clinical Research Network. Vibration-Controlled Transient Elastography to Assess Fibrosis and Steatosis in Patients With Nonalcoholic Fatty Liver Disease. Clin Gastroenterol Hepatol. 2019 Jan;17(1):156-163.e2. doi: 10.1016/j.cgh.2018.04.043. Epub 2018 Apr 26.

    PMID: 29705261BACKGROUND
  • Vali Y, Lee J, Boursier J, Spijker R, Loffler J, Verheij J, Brosnan MJ, Bocskei Z, Anstee QM, Bossuyt PM, Zafarmand MH; LITMUS systematic review team(dagger). Enhanced liver fibrosis test for the non-invasive diagnosis of fibrosis in patients with NAFLD: A systematic review and meta-analysis. J Hepatol. 2020 Aug;73(2):252-262. doi: 10.1016/j.jhep.2020.03.036. Epub 2020 Apr 8.

    PMID: 32275982BACKGROUND
  • Younossi ZM, Golabi P, de Avila L, Paik JM, Srishord M, Fukui N, Qiu Y, Burns L, Afendy A, Nader F. The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: A systematic review and meta-analysis. J Hepatol. 2019 Oct;71(4):793-801. doi: 10.1016/j.jhep.2019.06.021. Epub 2019 Jul 4.

    PMID: 31279902BACKGROUND
  • Nabi O, Lacombe K, Boursier J, Mathurin P, Zins M, Serfaty L. Prevalence and Risk Factors of Nonalcoholic Fatty Liver Disease and Advanced Fibrosis in General Population: the French Nationwide NASH-CO Study. Gastroenterology. 2020 Aug;159(2):791-793.e2. doi: 10.1053/j.gastro.2020.04.048. Epub 2020 May 4. No abstract available.

    PMID: 32376412BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Serum of the participants will be retained if they give permission for that. buffy coats will be stored as well, for future DNA research.

MeSH Terms

Conditions

Non-alcoholic Fatty Liver Disease

Condition Hierarchy (Ancestors)

Fatty LiverLiver DiseasesDigestive System Diseases

Study Officials

  • Onno Holleboom, MD PhD

    Amsterdam UMC, location AMC

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Vascular internist and endocrinologist, Assistant professor, Principal investigator

Study Record Dates

First Submitted

October 19, 2022

First Posted

February 3, 2023

Study Start

October 1, 2022

Primary Completion

June 30, 2024

Study Completion

October 15, 2024

Last Updated

October 22, 2024

Record last verified: 2024-10

Data Sharing

IPD Sharing
Will not share

Locations