The Nijmegen-Leiden-Amsterdam 2-tiered Care Path Study
NLA2
A Care Path for the Detection of Advanced NAFLD-fibrosis: the Nijmegen-Leiden-Amsterdam 2-tiered Care Path Study - the NLA2 Study
1 other identifier
observational
655
1 country
3
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2022
Typical duration for all trials
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2022
CompletedFirst Submitted
Initial submission to the registry
October 19, 2022
CompletedFirst Posted
Study publicly available on registry
February 3, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
October 15, 2024
CompletedOctober 22, 2024
October 1, 2024
1.7 years
October 19, 2022
October 21, 2024
Conditions
Keywords
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
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
A score which estimates the risk for advanced liver fibrosis, based on: age, ALT, AST and thrombocytes
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
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).
Eligibility Criteria
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
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)lead
- Maag Lever Darm Stichtingcollaborator
- Radboud University Medical Centercollaborator
- Leiden University Medical Centercollaborator
Study Sites (3)
Radboudumc
Nijmegen, Gelderland, 6525 GA, Netherlands
Amsterdam UMC, location AMC
Amsterdam, North Holland, 1105AZ, Netherlands
Leiden universitair medisch centrum
Leiden, South Holland, 2333 ZA, Netherlands
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: 31630897BACKGROUNDTushuizen 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: 32267638BACKGROUNDLazarus 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: 31518646BACKGROUNDHarris 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: 28404158BACKGROUNDCrossan 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: 25633908BACKGROUNDTapper 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: 26303130BACKGROUNDSrivastava 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: 30965069BACKGROUNDYounossi 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: 26707365BACKGROUNDEstes 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: 28802062BACKGROUNDYounossi 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: 28930295BACKGROUNDRuissen 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: 32508312BACKGROUNDTaylor 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: 32027911BACKGROUNDDulai 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: 28130788BACKGROUNDSumida 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: 24574716BACKGROUNDAlexander 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: 31594780BACKGROUNDGraupera 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: 34971806BACKGROUNDMarjot 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: 31629366BACKGROUNDEddowes 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: 30689971BACKGROUNDSiddiqui 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: 29705261BACKGROUNDVali 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: 32275982BACKGROUNDYounossi 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: 31279902BACKGROUNDNabi 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
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
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Onno Holleboom, MD PhD
Amsterdam UMC, location AMC
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