- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05597709
Prevalence of MAFLD in Patients With Type 2 Diabetes in Jiangsu Province of China
Prevalence of Metabolic Associated Fatty Liver Disease in Patients With Type 2 Diabetes in Jiangsu Province of China: a Prospective, Multicenter, Real-world Study
Study Overview
Status
Detailed Description
The presence of NAFLD not only increases the risk of T2DM, but also accelerates the process of various diabetes-related organ damage in patients with T2DM. Similarly, T2DM also increases the risk of NAFLD. However, in patients with T2DM, there are few reports on the correlation between ultrasound attenuation parameters for non-invasive assessment of liver fat content and insulin resistance. In addition, T2DM may be the most important predictor of adverse clinical outcomes in NAFLD patients. T2DM is an important predictor of NAFLD patients progressing to compensated advanced chronic liver disease (cACLD), and even cirrhotic portal hypertension and other end-stage liver diseases.
In February 2020, international experts suggested NAFLD to be renamed metabolic associated fatty liver disease (MAFLD). In April of the same year, the Journal of Hepatology released a new definition and diagnosis of MAFLD with the criteria based on histological (liver biopsy), imaging, or blood biomarker indicating the presence of hepatic fat accumulation (hepatocyte steatosis), in combination with one of the following 3 conditions: overweight/obesity, type 2 diabetes and metabolic dysfunction. The new diagnostic criteria are based on underlying metabolic abnormalities and recognize that MAFLD often coexists with other diseases.
Therefore, this study aims to investigate the prevalence and clinical characteristics of MAFLD in patients with T2DM, as well as the correlation between UAP and insulin resistance in T2DM. Patients will be followed up to 5 years for the clinical outcomes at 3months, 6 months, 12 months, 36 months, 48 months and 60 months respectively and the risk factors affecting the clinical outcomes of patients with T2DM will be analyzed.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Ling Li, Professor
- Phone Number: +8613951606816
- Email: lingli2022@hotmail.com
Study Contact Backup
- Name: Weixia Sun
- Phone Number: +8615562596360
- Email: weixia19960914@163.com
Study Locations
-
-
Jiangsu
-
Nanjing, Jiangsu, China
- Recruiting
- Zhongda Hospital, Medical School, Southeast University
-
Contact:
- Ling Li, Professor
- Phone Number: +8613951606816
- Email: lingli2022@hotmail.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Diagnosed as T2DM according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes
- UAP were measured based on iLivTouch
- Willing to attend this study and able to provide the written informed consent.
Exclusion Criteria:
- Other types of diabetes
- Patients unable to receive regular follow-up
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Patients who diagnosed as T2DM
Diagnosed as T2DM according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes
|
Eligible participants will receive ultrasound attenuation parameter with iLivTouch, fasting blood glucose and fasting insulin determination
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The proportion of patients with MAFLD in the T2DM population screened by UAP with iLivTouch
Time Frame: 12 months
|
To explore the prevalence and clinical characteristics of MAFLD in patients with T2DM
|
12 months
|
Correlation between UAP and insulin resistance
Time Frame: 12 months
|
To explore the correlation between UAP and insulin resistance in patients with T2DM
|
12 months
|
Analysis of risk factors for clinical outcomes in patients with T2DM
Time Frame: 5 years
|
To analyze risk factors affecting clinical outcomes in patients with T2DM
|
5 years
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Ling Li, Professor, Zhongda Hospital, Medical School, Southeast University
Publications and helpful links
General Publications
- Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, Colagiuri S, Guariguata L, Motala AA, Ogurtsova K, Shaw JE, Bright D, Williams R; IDF Diabetes Atlas Committee. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019 Nov;157:107843. doi: 10.1016/j.diabres.2019.107843. Epub 2019 Sep 10.
- Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, Harrison SA, Brunt EM, Sanyal AJ. The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases. Hepatology. 2018 Jan;67(1):328-357. doi: 10.1002/hep.29367. Epub 2017 Sep 29. No abstract available.
- Younossi 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.
- Byrne CD, Targher G. NAFLD: a multisystem disease. J Hepatol. 2015 Apr;62(1 Suppl):S47-64. doi: 10.1016/j.jhep.2014.12.012.
- Younossi 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.
- Lyu K, Zhang Y, Zhang D, Kahn M, Ter Horst KW, Rodrigues MRS, Gaspar RC, Hirabara SM, Luukkonen PK, Lee S, Bhanot S, Rinehart J, Blume N, Rasch MG, Serlie MJ, Bogan JS, Cline GW, Samuel VT, Shulman GI. A Membrane-Bound Diacylglycerol Species Induces PKCϵ-Mediated Hepatic Insulin Resistance. Cell Metab. 2020 Oct 6;32(4):654-664.e5. doi: 10.1016/j.cmet.2020.08.001. Epub 2020 Sep 2.
- Hossain N, Afendy A, Stepanova M, Nader F, Srishord M, Rafiq N, Goodman Z, Younossi Z. Independent predictors of fibrosis in patients with nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol. 2009 Nov;7(11):1224-9, 1229.e1-2. doi: 10.1016/j.cgh.2009.06.007. Epub 2009 Jun 25.
- Stepanova M, Rafiq N, Makhlouf H, Agrawal R, Kaur I, Younoszai Z, McCullough A, Goodman Z, Younossi ZM. Predictors of all-cause mortality and liver-related mortality in patients with non-alcoholic fatty liver disease (NAFLD). Dig Dis Sci. 2013 Oct;58(10):3017-23. doi: 10.1007/s10620-013-2743-5. Epub 2013 Jun 18.
- Fracanzani AL, Valenti L, Bugianesi E, Andreoletti M, Colli A, Vanni E, Bertelli C, Fatta E, Bignamini D, Marchesini G, Fargion S. Risk of severe liver disease in nonalcoholic fatty liver disease with normal aminotransferase levels: a role for insulin resistance and diabetes. Hepatology. 2008 Sep;48(3):792-8. doi: 10.1002/hep.22429.
- Younossi 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.
- Baffy G, Brunt EM, Caldwell SH. Hepatocellular carcinoma in non-alcoholic fatty liver disease: an emerging menace. J Hepatol. 2012 Jun;56(6):1384-91. doi: 10.1016/j.jhep.2011.10.027. Epub 2012 Feb 9.
- Rafiq N, Bai C, Fang Y, Srishord M, McCullough A, Gramlich T, Younossi ZM. Long-term follow-up of patients with nonalcoholic fatty liver. Clin Gastroenterol Hepatol. 2009 Feb;7(2):234-8. doi: 10.1016/j.cgh.2008.11.005. Epub 2008 Nov 7.
- Stepanova M, Rafiq N, Younossi ZM. Components of metabolic syndrome are independent predictors of mortality in patients with chronic liver disease: a population-based study. Gut. 2010 Oct;59(10):1410-5. doi: 10.1136/gut.2010.213553. Epub 2010 Jul 26.
- Qi X, Berzigotti A, Cardenas A, Sarin SK. Emerging non-invasive approaches for diagnosis and monitoring of portal hypertension. Lancet Gastroenterol Hepatol. 2018 Oct;3(10):708-719. doi: 10.1016/S2468-1253(18)30232-2.
- Qu Y, Song YY, Chen CW, Fu QC, Shi JP, Xu Y, Xie Q, Yang YF, Zhou YJ, Li LP, Xu MY, Cai XB, Zhang QD, Yu H, Fan JG, Lu LG. Diagnostic Performance of FibroTouch Ultrasound Attenuation Parameter and Liver Stiffness Measurement in Assessing Hepatic Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. Clin Transl Gastroenterol. 2021 Apr 13;12(4):e00323. doi: 10.14309/ctg.0000000000000323.
- Duan WJ, Wang XZ, Ma AL, Shang J, Nan YM, Gao ZL, Tang H, Fu QC, Xie Q, Mao Q, Niu JQ, Han T, Li J, Han Y, Cao JB, Kong YY, Shi XY, Lv FD, Wang TL, Ma H, You H, Ou XJ, Jia JD. Multicenter prospective study to validate a new transient elastography device for staging liver fibrosis in patients with chronic hepatitis B. J Dig Dis. 2020 Sep;21(9):519-525. doi: 10.1111/1751-2980.12924.
- Eslam M, Sanyal AJ, George J; International Consensus Panel. MAFLD: A Consensus-Driven Proposed Nomenclature for Metabolic Associated Fatty Liver Disease. Gastroenterology. 2020 May;158(7):1999-2014.e1. doi: 10.1053/j.gastro.2019.11.312. Epub 2020 Feb 8. Review.
- Eslam M, Newsome PN, Sarin SK, Anstee QM, Targher G, Romero-Gomez M, Zelber-Sagi S, Wai-Sun Wong V, Dufour JF, Schattenberg JM, Kawaguchi T, Arrese M, Valenti L, Shiha G, Tiribelli C, Yki-Jarvinen H, Fan JG, Gronbaek H, Yilmaz Y, Cortez-Pinto H, Oliveira CP, Bedossa P, Adams LA, Zheng MH, Fouad Y, Chan WK, Mendez-Sanchez N, Ahn SH, Castera L, Bugianesi E, Ratziu V, George J. A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement. J Hepatol. 2020 Jul;73(1):202-209. doi: 10.1016/j.jhep.2020.03.039. Epub 2020 Apr 8.
- de Franchis R; Baveno VI Faculty. Expanding consensus in portal hypertension: Report of the Baveno VI Consensus Workshop: Stratifying risk and individualizing care for portal hypertension. J Hepatol. 2015 Sep;63(3):743-52. doi: 10.1016/j.jhep.2015.05.022. Epub 2015 Jun 3. No abstract available.
- Bhardwaj A, Kedarisetty CK, Vashishtha C, Bhadoria AS, Jindal A, Kumar G, Choudhary A, Shasthry SM, Maiwall R, Kumar M, Bhatia V, Sarin SK. Carvedilol delays the progression of small oesophageal varices in patients with cirrhosis: a randomised placebo-controlled trial. Gut. 2017 Oct;66(10):1838-1843. doi: 10.1136/gutjnl-2016-311735. Epub 2016 Jun 13.
- Abraldes JG, Bureau C, Stefanescu H, Augustin S, Ney M, Blasco H, Procopet B, Bosch J, Genesca J, Berzigotti A; Anticipate Investigators. Noninvasive tools and risk of clinically significant portal hypertension and varices in compensated cirrhosis: The "Anticipate" study. Hepatology. 2016 Dec;64(6):2173-2184. doi: 10.1002/hep.28824. Epub 2016 Oct 27. Erratum In: Hepatology. 2017 Jul;66(1):304-305.
- Chinese Diabetes Society. Guideline for the prevention and treatment of type 2 diabetes mellitus in China(2020 edition). Chinese Journal of Endocrinology and Metabolism. 2021;4:311-398.
- Chinese Society of Endocrinology;Chinese Diabetes Society;Zhu Dulong;Zhao Jiajun;Mu Yiming.Management of Chinese adults with type 2 diabetes and non-alcoholic fatty liver disease:an expert consensus.Chinese Journal of Endocrinology and Metabolism.2021;7:589-598.
- Lai SQ, Hong ZZ, Chen HM, Lin JX, Kuang J, Li YB. [Correlation between ectopic fat accumulation and insulin sensitivity in obese individuals with different glucose tolerance levels]. Nan Fang Yi Ke Da Xue Xue Bao. 2017 Nov 20;37(11):1461-1466. Chinese.
- Qi XL. [Cirrhotic portal hypertension in the non-invasive era: what we grasp]. Zhonghua Gan Zang Bing Za Zhi. 2018 Apr 20;26(4):241-244. doi: 10.3760/cma.j.issn.1007-3418.2018.04.001. Chinese.
- XiaoYuan X etal.Guidelines for the diagnosis and treatment of esophageal and gastric variceal bleeding in cirrhotic portal hypertension.Journal of Clinical Hepatology.2016;2:203-219
- Zuo ZB, Cui HZ, Huang CX, Guo Y, Pan KR, Wang MC, Du W, Huang B, Xu AF. [Clinical study of FibroTouch and six serological models for assessing the degree of liver fibrosis in patients with chronic hepatitis B]. Zhonghua Gan Zang Bing Za Zhi. 2019 Jun 20;27(6):430-435. doi: 10.3760/cma.j.issn.1007-3418.2019.06.008. Chinese.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- MAFLD
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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