NCT04440540

Brief Summary

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.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
10

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Jul 2020

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
terminated

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 11, 2020

Completed
8 days until next milestone

First Posted

Study publicly available on registry

June 19, 2020

Completed
13 days until next milestone

Study Start

First participant enrolled

July 2, 2020

Completed
2.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2022

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2023

Completed
Last Updated

February 7, 2024

Status Verified

February 1, 2024

Enrollment Period

2.5 years

First QC Date

June 11, 2020

Last Update Submit

February 6, 2024

Conditions

Keywords

Ultrasound Attenuation ImagingNAFLDcardiovascular risklifestyle modification

Outcome Measures

Primary Outcomes (2)

  • intrahepatic triglycerides (IHTG) content

    change of IHTG content in NAFLD assessed by ultrasound

    1 year

  • cardiovascular risks

    cardiovascular risks reflected by Intima-media thicknesses of both carotid arteries

    1 year

Study Arms (2)

lifestyle modification program group

EXPERIMENTAL
Behavioral: Dietitian led life style modification intervention

usual care group (control)

EXPERIMENTAL
Behavioral: Conventional care (control)

Interventions

lifestyle changes supervised by dietitians

lifestyle modification program group

receive routine care

usual care group (control)

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • 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.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The Chinese University of Hong Kong, Prince of Wale Hospital

Hong Kong, Shatin, Hong Kong

Location

Related Publications (12)

  • 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.

    PMID: 31118651BACKGROUND
  • 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.

    PMID: 15339742BACKGROUND
  • 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.

    PMID: 25195550BACKGROUND
  • 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.

    PMID: 21846782BACKGROUND
  • 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.

    PMID: 26215532BACKGROUND
  • 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.

    PMID: 29137912BACKGROUND
  • 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.

    PMID: 29358469BACKGROUND
  • 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.

    PMID: 27212244BACKGROUND
  • 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.

    PMID: 31366982BACKGROUND
  • 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.

    PMID: 22102306BACKGROUND
  • 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.

    PMID: 18086926BACKGROUND
  • 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.

    PMID: 29995306BACKGROUND

MeSH Terms

Conditions

Non-alcoholic Fatty Liver Disease

Condition Hierarchy (Ancestors)

Fatty LiverLiver DiseasesDigestive System Diseases

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
QUADRUPLE
Who Masked
PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

June 11, 2020

First Posted

June 19, 2020

Study Start

July 2, 2020

Primary Completion

December 31, 2022

Study Completion

June 30, 2023

Last Updated

February 7, 2024

Record last verified: 2024-02

Data Sharing

IPD Sharing
Will not share

Locations