Alternation of Non-alcoholic Fatty Liver Disease (NAFLD) and Cardiovascular Risks After Liftestyle Modification: A Ultrasound Attenuation Imaging-Based Study

NCT ID: NCT04440540

Last Updated: 2024-02-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

TERMINATED

Clinical Phase

NA

Total Enrollment

10 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-07-02

Study Completion Date

2023-06-30

Brief Summary

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The prevalence of obesity has significantly increased over the last few decades. The excessive fat accumulation in undesired areas in obese patients may lead to various complications, such as cardiovascular diseases and Non-alcoholic fatty liver disease (NAFLD) defined by intrahepatic triglycerides (IHTG) content higher than 5.5%. In Hong Kong, the incidence rate of NAFLD is as high as approximately 13.5%, while 60.5% of obese subjects suffer from NAFLD. NAFLD is found to be a well-established risk factor for chronic kidney disease, type 2 diabetes, and cardiovascular disease. Moreover, obesity is a strong independent risk factor for development of atherosclerosis. It also plays important role in pathogenesis of dyslipidaemia, insulin resistance, hypertension. Both NAFLD and cardiovascular risks can be reversed. Lifestyle modification program(LMP) including diet control and routine exercise has been widely recommended to patients with mild to moderate obesity. It is vital to have a non-invasive, non-ionizing, low cost, accessible or widely available and yet accurate assessment tool to diagnose NAFLD and some cardiovascular risk parameters and serially monitor changes to assess the efficacy of LMP. Ultrasound meets these requirements. To the best of our knowledge there has been no prior study similar to this one. In this study, we aim to assess and validate the diagnostic accuracy of a novel ultrasound attenuation imaging method for NAFLD, and to evaluate the effectiveness of LMP in reversal of NAFLD and reduction of cardiovascular risks in moderate obesity.

A total of forty moderate obese patients with NAFLD will be recruited in this study, divided into lifestyle modification program group(n=20) and usual care group(n=20). All subjects will undergo dietary assessment based on 3-day diet record and power of food scale. Demographic data will be recorded, consisted of age, weight, height, waist circumference, BMI, and so on. Ultrasound attenuation imaging (ATI) will be performed to measure tissue attenuation coefficient so as to evaluate liver steatosis and liver fibrosis stage. Meanwhile, magnetic resonance imaging (MRI) will be carried out, which include cardiovascular risks measurement, liver proton density fat fraction (PDFF), volume quantification of abdominal white adipose tissue, liver inflammation and fibrosis assessment. Biochemistry tests will be conducted as supplementary for assessment of NAFLD and cardiovascular risks, comprising liver function test, lipid, fasting glucose, etc.

Detailed Description

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Conditions

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Non-alcoholic Fatty Liver Disease

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

QUADRUPLE

Participants Caregivers Investigators Outcome Assessors

Study Groups

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lifestyle modification program group

Group Type EXPERIMENTAL

Dietitian led life style modification intervention

Intervention Type BEHAVIORAL

lifestyle changes supervised by dietitians

usual care group (control)

Group Type EXPERIMENTAL

Conventional care (control)

Intervention Type BEHAVIORAL

receive routine care

Interventions

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Dietitian led life style modification intervention

lifestyle changes supervised by dietitians

Intervention Type BEHAVIORAL

Conventional care (control)

receive routine care

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* With age range of 18-65 years.
* With diagnosis of NAFLD.
* BMI =27.5- 32.4kg/m2 for moderate obesity (Asian population)
* Written consent form obtained.

Exclusion Criteria

* Other kind of hepatic diseases or under medications known to affect liver fat accumulation.
* Excessive alcohol consumption (\>20g/d for men and \>10g/d for women).
* Subjects using thyroid hormones, oestrogens, amiodarone, steroids, tamoxifen and beta blockers (e.g. propranolol).
* Body weight \>250kgs and or/ waist circumference \> 150cm.
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Chinese University of Hong Kong

OTHER

Sponsor Role lead

Responsible Party

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Professor Winnie W.C. Chu

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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The Chinese University of Hong Kong, Prince of Wale Hospital

Hong Kong, Shatin, Hong Kong

Site Status

Countries

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Hong Kong

References

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Carbone S, Canada JM, Billingsley HE, Siddiqui MS, Elagizi A, Lavie CJ. Obesity paradox in cardiovascular disease: where do we stand? Vasc Health Risk Manag. 2019 May 1;15:89-100. doi: 10.2147/VHRM.S168946. eCollection 2019.

Reference Type BACKGROUND
PMID: 31118651 (View on PubMed)

Szczepaniak LS, Nurenberg P, Leonard D, Browning JD, Reingold JS, Grundy S, Hobbs HH, Dobbins RL. Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab. 2005 Feb;288(2):E462-8. doi: 10.1152/ajpendo.00064.2004. Epub 2004 Aug 31.

Reference Type BACKGROUND
PMID: 15339742 (View on PubMed)

Wong VW, Wong GL, Yeung DK, Lau TK, Chan CK, Chim AM, Abrigo JM, Chan RS, Woo J, Tse YK, Chu WC, Chan HL. Incidence of non-alcoholic fatty liver disease in Hong Kong: a population study with paired proton-magnetic resonance spectroscopy. J Hepatol. 2015 Jan;62(1):182-9. doi: 10.1016/j.jhep.2014.08.041. Epub 2014 Sep 6.

Reference Type BACKGROUND
PMID: 25195550 (View on PubMed)

Wong VW, Chu WC, Wong GL, Chan RS, Chim AM, Ong A, Yeung DK, Yiu KK, Chu SH, Woo J, Chan FK, Chan HL. Prevalence of non-alcoholic fatty liver disease and advanced fibrosis in Hong Kong Chinese: a population study using proton-magnetic resonance spectroscopy and transient elastography. Gut. 2012 Mar;61(3):409-15. doi: 10.1136/gutjnl-2011-300342. Epub 2011 Aug 16.

Reference Type BACKGROUND
PMID: 21846782 (View on PubMed)

Wei JL, Leung JC, Loong TC, Wong GL, Yeung DK, Chan RS, Chan HL, Chim AM, Woo J, Chu WC, Wong VW. Prevalence and Severity of Nonalcoholic Fatty Liver Disease in Non-Obese Patients: A Population Study Using Proton-Magnetic Resonance Spectroscopy. Am J Gastroenterol. 2015 Sep;110(9):1306-14; quiz 1315. doi: 10.1038/ajg.2015.235. Epub 2015 Jul 28.

Reference Type BACKGROUND
PMID: 26215532 (View on PubMed)

Mantovani A, Zaza G, Byrne CD, Lonardo A, Zoppini G, Bonora E, Targher G. Nonalcoholic fatty liver disease increases risk of incident chronic kidney disease: A systematic review and meta-analysis. Metabolism. 2018 Feb;79:64-76. doi: 10.1016/j.metabol.2017.11.003. Epub 2017 Nov 11.

Reference Type BACKGROUND
PMID: 29137912 (View on PubMed)

Mantovani A, Byrne CD, Bonora E, Targher G. Nonalcoholic Fatty Liver Disease and Risk of Incident Type 2 Diabetes: A Meta-analysis. Diabetes Care. 2018 Feb;41(2):372-382. doi: 10.2337/dc17-1902.

Reference Type BACKGROUND
PMID: 29358469 (View on PubMed)

Targher G, Byrne CD, Lonardo A, Zoppini G, Barbui C. Non-alcoholic fatty liver disease and risk of incident cardiovascular disease: A meta-analysis. J Hepatol. 2016 Sep;65(3):589-600. doi: 10.1016/j.jhep.2016.05.013. Epub 2016 May 17.

Reference Type BACKGROUND
PMID: 27212244 (View on PubMed)

Liu Y, Zhong GC, Tan HY, Hao FB, Hu JJ. Nonalcoholic fatty liver disease and mortality from all causes, cardiovascular disease, and cancer: a meta-analysis. Sci Rep. 2019 Jul 31;9(1):11124. doi: 10.1038/s41598-019-47687-3.

Reference Type BACKGROUND
PMID: 31366982 (View on PubMed)

Akil L, Ahmad HA. Relationships between obesity and cardiovascular diseases in four southern states and Colorado. J Health Care Poor Underserved. 2011;22(4 Suppl):61-72. doi: 10.1353/hpu.2011.0166.

Reference Type BACKGROUND
PMID: 22102306 (View on PubMed)

Rosamond W, Flegal K, Furie K, Go A, Greenlund K, Haase N, Hailpern SM, Ho M, Howard V, Kissela B, Kittner S, Lloyd-Jones D, McDermott M, Meigs J, Moy C, Nichol G, O'Donnell C, Roger V, Sorlie P, Steinberger J, Thom T, Wilson M, Hong Y; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics--2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2008 Jan 29;117(4):e25-146. doi: 10.1161/CIRCULATIONAHA.107.187998. Epub 2007 Dec 17. No abstract available.

Reference Type BACKGROUND
PMID: 18086926 (View on PubMed)

Unamuno X, Gomez-Ambrosi J, Rodriguez A, Becerril S, Fruhbeck G, Catalan V. Adipokine dysregulation and adipose tissue inflammation in human obesity. Eur J Clin Invest. 2018 Sep;48(9):e12997. doi: 10.1111/eci.12997. Epub 2018 Aug 3.

Reference Type BACKGROUND
PMID: 29995306 (View on PubMed)

Other Identifiers

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2020.256

Identifier Type: -

Identifier Source: org_study_id

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