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Global Research Initiative for Patients Screening on MASH

Global Research Initiative for Patients Screening on MASH - Implementation of an International Transmural Patient Care Pathway

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05651724
Acronym
GRIPonMASH
Enrollment
10000
Registered
2022-12-15
Start date
2023-06-30
Completion date
2031-03-31
Last updated
2024-08-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Arterial Hypertension, Fibrosis, Liver, MASH, MASH With Fibrosis, MASLD, Metabolic Syndrome, Obesity, Steatosis of Liver, Type 2 Diabetes

Keywords

MASLD, MASH, Screening, Patient care pathway

Brief summary

GRIPonMASH will assist (primary) health care providers clinicians to implement the latest patient care pathway, as described by the European Association for the Study of the Liver (EASL), to identify patients at risk of severe metabolic dysfunction-associated steatotic liver disease (MASLD) and to raise awareness. The primary objective is to implement a transmural patient care pathway, in order to identify patients with MASLD and its progressive form metabolic dysfunction-associated steatohepatitis (MASH) in primary care centres and clinics in 10 European countries.

Detailed description

GRIPonMASH is an observational study in which 10.000 high risk patients (type 2 diabetes mellitus, metabolic syndrome, obesity or arterial hypertension) in 10 different European countries will be screened for the presence of MASLD, liver fibrosis and (at-rsik) MASH using at least two non-invasive tests (FIB-4 and FibroScan). Additional published and exploratory non-invasive test will also be investigated. Blood samples and liver biopsy material will be collected. Genomic, proteomic, metabolomic, lipidomic and fluxomic studies will be applied to gain a better understanding of the pathophysiology of MASLD and to identify (bio)markers that will help to detect patients at-risk. The predictive value of FIB-4 in relation to FibroScan results and liver biopsy will be analysed. Long-term follow-up of 5 years in all participants will provide insight into the natural history of the disease.

Interventions

None listed

Sponsors

UMC Utrecht
CollaboratorOTHER
Echosens
CollaboratorINDUSTRY
MIMETAS BV
CollaboratorUNKNOWN
Nordic Bioscience A/S
CollaboratorINDUSTRY
Elevate BV
CollaboratorUNKNOWN
Leiden University
CollaboratorOTHER
Amsterdam University Medical Center
CollaboratorOTHER
Andaluz Health Service
CollaboratorOTHER_GOV
National Research Council, Institute of Clinical Physiology, Italy
CollaboratorOTHER
Leiden University Medical Center
CollaboratorOTHER
Université Libre de Bruxelles
CollaboratorOTHER
University Hospital, Antwerp
CollaboratorOTHER
Catholic University of the Sacred Heart
CollaboratorOTHER
Medical Education Research And Innovation Center S.R.L.
CollaboratorUNKNOWN
EUROPEAN LIVER PATIENTS ASSOCIATION
CollaboratorUNKNOWN
Harokopio University
CollaboratorOTHER
General University Hospital, Prague
CollaboratorOTHER
Novo Nordisk A/S
CollaboratorINDUSTRY
Maastricht University
CollaboratorOTHER
Mercodia Aktiebolag
CollaboratorUNKNOWN
EXIT071 BV
CollaboratorUNKNOWN
European Atherosclerosis Society
CollaboratorOTHER
MetaDeq Limited
CollaboratorUNKNOWN
Associação para Investigação e Desenvolvimento da Faculdade de Medicina
CollaboratorUNKNOWN
Institute of Cardiometabolism and Nutrition, France
CollaboratorOTHER
University Hospital, Saarland
CollaboratorOTHER
Roche Pharma AG
CollaboratorINDUSTRY
Inventiva Pharma
CollaboratorINDUSTRY
Biocellvia
CollaboratorUNKNOWN
Franciscus Gasthuis & Vlietland (Hospital)
CollaboratorOTHER
Julius Clinical
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

* Newly diagnosed subjects should fulfil criteria for diagnosis of type 2 diabetes mellitus or metabolic syndrome or obesity or arterial hypertension, following the study definitions. * Subjects that are currently being treated for type 2 diabetes mellitus or metabolic syndrome or obesity or arterial hypertension, should have had a prior diagnosis based on study definitions. Study definitions: Type 2 diabetes mellitus * At least 2 times a fasting glucose \> 7,0 mmol/L * Or elevated non-fasting glucose \>11,1 mmol/L 2 hrs after OGTT * Or HbA1c ≥48 mmol/mol (≥6.5%) * Or being actively treated for previously diagnosed type 2 diabetes by a health care provider Obesity * Body mass index (BMI) \> 30 * Or waist circumferences Caucasian: male ≥ 94 cm, female ≥ 80 cm South-Asian/Chinese: male ≥90 cm, female ≥80 cm Japanese: male ≥85 cm, female ≥90 cm Arterial hypertension * Systolic BP ≥ 140 mmHg and/or diastolic BP ≥ 90 mmHg * Or being actively treated for previously diagnosed arterial hypertension by a health care provider Metabolic syndrome \- Central obesity defined as waist circumference (see above), if BMI is \>30 kg/m2, central obesity can be assumed and waist circumference does not need to be measured AND any two of the following: * Raised triglycerides: ≥ 150 mg/dL (1.7 mmol/L), or specific treatment for this lipid abnormality * Reduced HDL cholesterol: \< 40 mg/dL (1.03 mmol/L) in males, \< 50 mg/dL (1.29 mmol/L) in females, or specific treatment for this lipid abnormality * Raised blood pressure (BP): systolic BP ≥ 130 or diastolic BP ≥ 85 mm Hg, or treatment of previously diagnosed hypertension * Raised fasting plasma glucose (FPG): FGP ≥ 100 mg/dL (5.6 mmol/L), or previously diagnosed type 2 diabetes (if above \>5.6 mmol/L or 100 mg/dL, an oral glucose tolerance test is strongly recommended, but is not necessary to define presence of the syndrome)

Exclusion criteria

* The patient is known with hepatitis B, C or HIV or any other liver condition (like hemochromatosis, sarcoidosis, Wilson's disease etc); * The patient is known with any other condition that may lead to liver fibrosis or cirrhosis; * The patient engages in (excessive) alcohol use: \> 3 units/day in males \[30 grams/day\] and \> 2 units/day in females \[20 grams/day\]; * The patient has a history or evidence of any other clinically significant condition or planned or expected procedure that in the opinion of the Investigator, may compromise the patient's safety or ability to be included in this study; * The patient is an employee or contractor of the facility that is conducting the study or is a family member of the Investigator, sub-Investigator, or any Sponsor personnel; * The patient is not able to understand the details of the protocol and/or is not able to provide written informed consent; * The patient is pregnant or breastfeeding. * The patient underwent bariatric surgery in the last 12 months.

Design outcomes

Primary

MeasureTime frameDescription
Prevalence of liver steatosis and MASLD estimated by FibroScan CAP in patients at riskBaselineSteatosis grade deduced from controlled attenuation parameter (CAP) measurement with Fibroscan
Prevalence of liver fibrosis estimated by FibroScan LSM in patients at riskBaselineFibrosis stage deduced from liver stiffness measurement (LSM) by vibration controlled transient elastography (VCTE) measurement with Fibroscan
Prevalence of at-risk MASH estimated by FAST score in patients at riskBaselineAt-risk MASH deduced from FAST score
*Subset of patients: prevalence of MASH in patients at risk16 or 30 weeksMASH diagnosis confirmed by histology (NAS/SAF criteria) upon liver biopsy; only in patients with \>12 kPa at 1st FibroScan or \>=8 kPa at 2nd FibroScan
Comparison of the prevalence of MASLD, liver fibrosis and (at-risk) MASH between the participating countriesBaseline (1-3) to 16/30 weeks for biopsy-confirmed MASH (4)Prevalence (see outcome 1-4) stratified per country
Evaluate added value of a 2-step pathway as compared to FibroScan only for detection of high-risk patientsBaselineNumber of patients at risk identified by FIB-4 compared to numbers found using LSM by VCTE with FibroScan measurements, and numbers found in combination

Secondary

MeasureTime frameDescription
*Subset of patients: Second FibroScan examination14 weeksCAP and LSM by VCTE at 2nd FibroScan examination
Build diagnostic model to identify MASH patients in a high-risk populationBaselinePossible model parameters are all baseline clinical characteristics reported in the eCRF
Longitudinal changes in liver assessmentsBaseline, 14 weeks + throughout follow-up (at 3 and 5 years)Repeated CAP, LSM by VCTE and FAST measurements over time
Genotypes related to MASH in different European countries: ExploratoryBaselineGenomic (GWAS) and proteomic analysis on collected blood samples
(Non-invasive) metabolite biomarkers identifying MASH in patients at risk: ExploratoryBaselineMass-spectrometry (MS) based metabolomic and lipidomic analyses on collected blood and samples, both targeted and untargeted approaches.
Prevalence of co-morbidities and associated therapies (especially for CVD) in patients with MASH compared to those without, in high-risk patient populationsBaselinePrevalence of comorbidities, medication use, medical history
Identify prognostic factors/biomarkers for complications in patients with MASLD and MASH by 5 years follow upThroughout follow-up (at 3 and 5 years)Disease progression and liver-related and non-liver related complications
Patient Reported Outcomes: Dietary habits and lifestyleBaseline + throughout follow-up (at 3 and 5 years)14 item Mediterranean Diet Score; lifestyle surveys

Countries

Belgium, Czechia, France, Germany, Greece, Italy, Netherlands, Portugal, Romania, Spain

Contacts

Primary Contactde Jong
griponmash@juliusclinical.com+31628259968
Backup ContactWijkhuis
griponmash@juliusclinical.com

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026