MASH - Metabolic Dysfunction-Associated Steatohepatitis, Metabolic Dysfunction-associated Fatty Liver Disease, Type 2 Diabetes Mellitus (T2DM)
Conditions
Keywords
Type 2 Diabetes Mellitus, MASH, MAFLD, Liver inflammation index
Brief summary
This observational study aims to evaluate a new diagnostic tool, the Liver Inflammation Index, in detecting Metabolic Dysfunction-Associated Steatohepatitis (MASH) among adults who have both Type 2 Diabetes Mellitus (T2DM) and Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD).
Detailed description
This study is a national, multicenter, real-world, cross-sectional observational trial designed to assess the clinical utility and diagnostic accuracy of the Liver Inflammation Index for identifying Metabolic Dysfunction-Associated Steatohepatitis (MASH) in patients with concurrent Type 2 Diabetes Mellitus (T2DM) and Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD). The study plans to enroll a total of 10,000 participants across 22 major research centers in China. Data collection will be split into a prospective cohort (9,000 patients) and a retrospective cohort (1,000 patients). Each participating center will enroll between 100 and 2,000 subjects. Study Procedures and Data Collection: For all eligible participants, researchers will systematically collect comprehensive clinical data. This includes general demographic information, detailed past medical history, physical examination findings, and lifestyle questionnaires (assessing diet, physical activity, smoking, and alcohol consumption). Clinical assessments will involve standard laboratory tests to calculate the Liver Inflammation Index. Additionally, participants will undergo vibration-controlled transient elastography (using the iLivTouch device) to obtain the Ultrasound Attenuation Parameter (UAP) for steatosis grading and Liver Stiffness Measurement (LSM) for fibrosis staging. Study Objectives: The primary objective is to investigate the distribution and alterations of the Liver Inflammation Index in the Chinese T2DM and MAFLD population, and to evaluate the overall detection rate of MASH within this cohort. Secondary objectives focus on stratifying the MASH detection rate based on several clinical variables: The presence of comorbidities (including cardiovascular disease, chronic kidney disease, obesity, dyslipidemia, and hypertension). The degree of hepatic steatosis (S1, S2, and S3), as determined by UAP results. The severity of liver fibrosis (F0-F1, F2, F3, and F4), as determined by LSM results. Demographic stratifications, including age, gender, and geographic region within China. Identification of predictive risk factors associated with MASH in this specific patient population. Exploratory Endpoints: The study will explore the impact of modifiable, adverse lifestyle factors on the prevalence of MASH. Furthermore, a 5-year retrospective data collection (where hospital records permit) will be conducted to analyze the relationship between the MASH detection rate and various Liver-Related Events (LREs). LREs are defined as the occurrence of any of the following: Model for End-Stage Liver Disease (MELD) score ≥ 15, liver-related mortality, liver transplantation, progression to hepatocellular carcinoma, esophagogastric variceal bleeding, or hepatic decompensation (including ascites, overt hepatic encephalopathy, bacterial infections, and non-obstructive jaundice).
Interventions
A non-invasive diagnostic assessment performed using the iLivTouch device. This device simultaneously generates three key metrics: the Liver Inflammation Index (the primary target evaluated for its accuracy in detecting MASH), the Ultrasound Attenuation Parameter (UAP) for hepatic steatosis grading, and the Liver Stiffness Measurement (LSM) for fibrosis staging.
Sponsors
Study design
Eligibility
Inclusion criteria
1. Adults aged ≥18 years, with no restrictions on sex; 2. Patients clinically diagnosed with metabolic dysfunction-associated fatty liver disease (MAFLD) according to the Chinese Society of Hepatology guideline Guidelines for the Prevention and Treatment of Metabolic Dysfunction-Associated (Nonalcoholic) Fatty Liver Disease (2024 Edition), and additionally diagnosed with type 2 diabetes mellitus (T2DM) based on the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes Mellitus (2024 Edition).
Exclusion criteria
1. Presence of unhealed wounds, scars, or other conditions in the right upper abdominal region that are unsuitable for ultrasonographic examination; 2. Development of other liver diseases during follow-up, including viral hepatitis, drug-induced liver injury, autoimmune liver disease, alcoholic liver disease, or other chronic liver diseases; 3. History of hepatic decompensation; 4. History of hepatectomy or liver transplantation; 5. History of other malignancies; 6. Presence of vascular liver disease, cystic fibrosis-associated liver disease, sarcoidosis, polycystic liver disease, congenital or rare hereditary liver diseases, mechanical cholestasis, secondary sclerosing cholangitis, or heart failure accompanied by hepatic venous congestion; 7. History of transjugular intrahepatic portosystemic shunt (TIPS); 8. Occurrence of acute hepatitis during follow-up (defined as alanine aminotransferase levels \>5 times the upper limit of normal) or acute-on-chronic liver failure (ACLF); 9. Clinical or subclinical hypothyroidism or hyperthyroidism.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To evaluate the overall detection rate of MASH in the Chinese T2DM and MAFLD population. | Baseline |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Proportion of Participants with MASH Stratified by Comorbidities | Baseline | To evaluate and compare the detection rate of Metabolic Dysfunction-Associated Steatohepatitis (MASH) among subgroups of patients with specific concurrent conditions, including cardiovascular disease, chronic kidney disease, obesity, dyslipidemia, and hypertension. |
| Proportion of Participants with MASH Stratified by Hepatic Steatosis Grades | Baseline | To analyze the differences in the detection rate of MASH across varying degrees of hepatic steatosis (mild \[S1\], moderate \[S2\], and severe \[S3\]), as determined by the Ultrasound Attenuation Parameter (UAP) via transient elastography. |
| Proportion of Participants with MASH Stratified by Liver Fibrosis Stages | Baseline | To assess the differences in the detection rate of MASH among patients with different stages of liver fibrosis (F0-F1, F2, F3, and F4), as classified by Liver Stiffness Measurement (LSM) via transient elastography. |
| Demographic Variations in MASH Detection Rate | Baseline | To determine the detection rate of MASH stratified by key demographic factors, specifically gender and predefined age groups, to identify potential population-specific distribution patterns. |
| Geographic Variations in MASH Detection Rate Across China | Baseline | To evaluate the regional differences in the detection rate of MASH among the enrolled cohort of T2DM and MAFLD patients across different geographical regions within China. |
| Identification of Risk Factors Associated with MASH | Baseline | To identify and evaluate independent demographic, clinical, and laboratory predictors (risk factors) associated with the presence of MASH using multivariable logistic regression modeling. |
Countries
China
Contacts
Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University