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).
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).
Study Type
OBSERVATIONAL
Enrollment
10,000
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.
Department of Endocrinology, the First Affiliated Hospital of Bengbu Medical University
Bengbu, Anhui, China
RECRUITINGDepartment of Endocrinology, the Second Affiliated Hospital of Anhui Medical University
Hefei, Anhui, China
RECRUITINGDepartment of Endocrinology, the Second Affiliated Hospital of Wannan Medical University
Wuhu, Anhui, China
RECRUITINGDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University
Guangzhou, Guangdong, China
To evaluate the overall detection rate of MASH in the Chinese T2DM and MAFLD population.
Time frame: Baseline
Proportion of Participants with MASH Stratified by Comorbidities
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.
Time frame: Baseline
Proportion of Participants with MASH Stratified by Hepatic Steatosis Grades
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.
Time frame: Baseline
Proportion of Participants with MASH Stratified by Liver Fibrosis Stages
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.
Time frame: Baseline
Demographic Variations in MASH Detection Rate
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.
Time frame: Baseline
Geographic Variations in MASH Detection Rate Across China
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.
Time frame: Baseline
Identification of Risk Factors Associated with MASH
To identify and evaluate independent demographic, clinical, and laboratory predictors (risk factors) associated with the presence of MASH using multivariable logistic regression modeling.
Time frame: Baseline
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Department of Obesity and Metabolic Diseases, Panyu Hospital of Traditional Chinese Medicine
Guangzhou, Guangdong, China
RECRUITINGDepartment of Endocrinology, the Eighth Affiliated Hospital, Sun Yat-sen University
Shenzhen, Guangdong, China
RECRUITINGDepartment of Endocrinology, the First Affiliated Hospital of Guangxi Medical University
Nanning, Guangxi, China
RECRUITINGDepartment of Endocrinology, the Affiliated Hospital of Zunyi Medical University
Zunyi, Guizhou, China
RECRUITINGDepartment of Endocrinology, Hainan General Hospital
Haikou, Hainan, China
RECRUITINGDepartment of Endocrinology, the First Affiliated Hospital of Henan University of CM
Zhengzhou, Hennan, China
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