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Diagnostic Value of the Liver Inflammation Index for MASH in Patients With T2DM and MAFLD

A Multicenter Cross-Sectional Study Evaluating the Diagnostic Accuracy of the Liver Inflammation Index for Metabolic Dysfunction-Associated Steatohepatitis (MASH) in Patients With Concurrent Type 2 Diabetes Mellitus and Metabolic Dysfunction-Associated Fatty Liver Disease

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).

Studie Overzicht

Gedetailleerde beschrijving

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).

Studietype

Observationeel

Inschrijving (Geschat)

10000

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

  • Naam: Yan Bi, MD,PhD
  • Telefoonnummer: 86-25-83-105302
  • E-mail: biyan@nju.edu

Studie Contact Back-up

Studie Locaties

    • Anhui
      • Bengbu, Anhui, China, 233004
        • Werving
        • Department of Endocrinology, the First Affiliated Hospital of Bengbu Medical University
        • Contact:
          • Xiaolei Hu
      • Hefei, Anhui, China, 230601
        • Werving
        • Department of Endocrinology, the Second Affiliated Hospital of Anhui Medical University
        • Contact:
          • Tianrong Pan
      • Wuhu, Anhui, China, 241000
        • Werving
        • Department of Endocrinology, the Second Affiliated Hospital of Wannan Medical University
        • Contact:
          • Junfei Gu
    • Guangdong
      • Guangzhou, Guangdong, China, 510280
        • Werving
        • Department of Endocrinology, Zhujiang Hospital, Southern Medical University
        • Contact:
          • Jia Sun
      • Guangzhou, Guangdong, China, 511495
        • Werving
        • Department of Obesity and Metabolic Diseases, Panyu Hospital of Traditional Chinese Medicine
        • Contact:
          • Hui Li
      • Shenzhen, Guangdong, China, 518033
        • Werving
        • Department of Endocrinology, the Eighth Affiliated Hospital, Sun Yat-sen University
        • Contact:
          • Yunfeng Shen
    • Guangxi
      • Nanning, Guangxi, China, 530021
        • Werving
        • Department of Endocrinology, the First Affiliated Hospital of Guangxi Medical University
        • Contact:
          • Yingfen Qin
    • Guizhou
      • Zunyi, Guizhou, China, 563000
        • Werving
        • Department of Endocrinology, the Affiliated Hospital of Zunyi Medical University
        • Contact:
          • Xin Liao
    • Hainan
      • Haikou, Hainan, China, 570311
        • Werving
        • Department of Endocrinology, Hainan General Hospital
        • Contact:
          • Kaining Chen
    • Hennan
      • Zhengzhou, Hennan, China, 450099
        • Werving
        • Department of Endocrinology, the First Affiliated Hospital of Henan University of CM
        • Contact:
          • Suqin Shi
    • Hubei
      • Wuhan, Hubei, China, 430060
        • Werving
        • Department of Endocrinology, Renmin Hospital of Wuhan University
        • Contact:
          • Ling Gao
    • Hunan
      • Hengyang, Hunan, China, 421001
        • Werving
        • Department of Endocrinology, the First Affiliated Hospital of University of South China
        • Contact:
          • Xinhua Xiao
    • Jiangsu
      • Nanjing, Jiangsu, China, 210008
        • Werving
        • Department of Endocrinology, Endocrine and Metabolic Disease Medical Center,Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University
        • Contact:
        • Hoofdonderzoeker:
          • Yan Bi, MD, PhD
        • Contact:
        • Onderonderzoeker:
          • Jin Li, MD, PhD
      • Suzhou, Jiangsu, China, 215006
        • Werving
        • Department of Endocrinology, the First Affiliated Hospital of Soochow University
        • Contact:
      • Xuzhou, Jiangsu, China, 221009
        • Werving
        • Department of Endocrinology, Xuzhou Central Hospital
        • Contact:
          • Houfa Geng
    • Shandong
      • Qingdao, Shandong, China, 266000
        • Werving
        • Department of Endocrinology, the Affiliated Hospital of Qingdao University
        • Contact:
          • Yangang Wang
      • Weifang, Shandong, China, 261000
        • Werving
        • Department of Metabolic Diseases and Weight Management, Weifang People's Hospital
        • Contact:
          • Haixia Liu
    • Shanghai Municipality
      • Shanghai, Shanghai Municipality, China, 200000
        • Werving
        • Department of Endocrinology, ZhongShan Hospital, Fudan University
        • Contact:
    • Shanxi
      • Xi’an, Shanxi, China, 710032
        • Werving
        • Department of Endocrinology and Metabolism, Xijing Hospital, Air Force Medical University
        • Contact:
          • Xiangyang Liu
    • Yunnan
      • Kunming, Yunnan, China, 650011
        • Werving
        • Department of Endocrinology, the Third People's Hospital of Yunnan Province
        • Contact:
          • Li Gui
    • Zhejiang
      • Hangzhou, Zhejiang, China, 310020
        • Werving
        • Department of Endocrinology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine
        • Contact:
          • Jiaqiang Zhou
      • Wenzhou, Zhejiang, China, 325000
        • Werving
        • Department of Endocrinology, the First Affiliated Hospital of Wenzhou Medical University
        • Contact:
          • Hong Zhu

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

  • Volwassen
  • Oudere volwassene

Accepteert gezonde vrijwilligers

Nee

Bemonsteringsmethode

Niet-waarschijnlijkheidssteekproef

Studie Bevolking

The study population consists of adult patients concurrently diagnosed with Type 2 Diabetes Mellitus (T2DM) and Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD). Participants will be continuously enrolled from both outpatient clinics and inpatient departments across 22 major research centers and tertiary hospitals located in various geographic regions of China. This cohort represents a real-world clinical population seeking routine medical care, health evaluations, or regular follow-ups for their metabolic and endocrine conditions. Data will be collected through both prospective clinical assessments and retrospective medical record reviews.

Beschrijving

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.

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

Cohorten en interventies

Groep / Cohort
Interventie / Behandeling
T2DM with MAFLD
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.

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Tijdsspanne
To evaluate the overall detection rate of MASH in the Chinese T2DM and MAFLD population.
Tijdsspanne: Baseline
Baseline

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Proportion of Participants with MASH Stratified by Comorbidities
Tijdsspanne: 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.
Baseline
Proportion of Participants with MASH Stratified by Hepatic Steatosis Grades
Tijdsspanne: 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.
Baseline
Proportion of Participants with MASH Stratified by Liver Fibrosis Stages
Tijdsspanne: 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.
Baseline
Demographic Variations in MASH Detection Rate
Tijdsspanne: 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.
Baseline
Geographic Variations in MASH Detection Rate Across China
Tijdsspanne: 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.
Baseline
Identification of Risk Factors Associated with MASH
Tijdsspanne: Baseline
To identify and evaluate independent demographic, clinical, and laboratory predictors (risk factors) associated with the presence of MASH using multivariable logistic regression modeling.
Baseline

Andere uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Association Between Smoking and Alcohol Consumption Status and MASH Prevalence
Tijdsspanne: Baseline
Smoking status and alcohol consumption status will be collected at baseline and recorded as binary variables (Yes/No). The association between smoking status, alcohol consumption status, and the prevalence of MASH will be evaluated.
Baseline
Correlation Between MASH Detection and Retrospective Liver-Related Events (LREs)
Tijdsspanne: Baseline
To analyze the relationship between the current presence of MASH and a history of Liver-Related Events (LREs) by collecting retrospective patient data (where hospital records permit). 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 (such as ascites, overt hepatic encephalopathy, or bacterial infections).
Baseline

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Geschat)

15 mei 2026

Primaire voltooiing (Geschat)

31 december 2027

Studie voltooiing (Geschat)

31 december 2027

Studieregistratiedata

Eerst ingediend

23 mei 2026

Eerst ingediend dat voldeed aan de QC-criteria

2 juni 2026

Eerst geplaatst (Werkelijk)

8 juni 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

8 juni 2026

Laatste update ingediend die voldeed aan QC-criteria

2 juni 2026

Laatst geverifieerd

1 juni 2026

Meer informatie

Termen gerelateerd aan deze studie

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

JA

Beschrijving IPD-plan

De-identified participant data may be timely shared with qualified researchers upon request, subject to review and approval.

IPD-tijdsbestek voor delen

Data will become available after study completion and primary publication for 3 years.

IPD-toegangscriteria voor delen

Data requests require a valid research proposal and signed data use agreement. Approval is contingent on compliance with applicable laws and ethical guidelines.

IPD delen Ondersteunend informatietype

  • LEERPROTOCOOL
  • ICF

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

Deze informatie is zonder wijzigingen rechtstreeks van de website clinicaltrials.gov gehaald. Als u verzoeken heeft om uw onderzoeksgegevens te wijzigen, te verwijderen of bij te werken, neem dan contact op met register@clinicaltrials.gov. Zodra er een wijziging wordt doorgevoerd op clinicaltrials.gov, wordt deze ook automatisch bijgewerkt op onze website .

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