NCT04861012

Brief Summary

Primary outcome Screen for MAFLD among patients attending to the Nutrition clinic in Al Rajhi hospital. Secondary outcome

  • Determining the degrees of fibrosis and steatosis in patients with MAFLD
  • Determining the rate of obesity, diabetes mellitus (DM), hypertension (HTN), hyperlipidemia in patients with MAFLD.
  • Determining the rate of patients with other associated chronic liver disease (CLD).

Trial Health

35
At Risk

Trial Health Score

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

Trial has exceeded expected completion date
Enrollment
360

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Sep 2021

Status
unknown

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

April 20, 2021

Completed
7 days until next milestone

First Posted

Study publicly available on registry

April 27, 2021

Completed
4 months until next milestone

Study Start

First participant enrolled

September 1, 2021

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2022

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2022

Completed
Last Updated

April 27, 2021

Status Verified

April 1, 2021

Enrollment Period

1 year

First QC Date

April 20, 2021

Last Update Submit

April 23, 2021

Conditions

Keywords

MAFLD

Outcome Measures

Primary Outcomes (1)

  • Screen for MAFLD among patients attending to the Nutrition clinic in Al Rajhi hospital

    Screening will be done according to new criteria set by Eslam M, et al, 2020, Patients with detected fatty liver by ultrasound will undergo an evaluation for the BMI and fasting and post prandial blood glucose levels. Patients with with BMI \>25 kg/m2 or type two diabetes mellitus (DM) will be diagnosed to have MAFLD. Patients with BMI \< 25 kg/m2 and normal sugar curve will be subjected to tests to detect metabolic abnormalities with the presence of at least two metabolic risk abnormalities, the subject will be diagnosed as MAFLD. Eventually the percentage of patients diagnosed as MAFLD will be calculated among this random sample

    baseline

Secondary Outcomes (3)

  • determining the number of patients diagnosed as MAFLD and degree of fibrosis and steatosis in each one.

    baseline

  • Determining the rate of patients with other associated chronic liver disease(CLD)

    baseline

  • Determining the rate of obesity, DM, HTN, hyperlipidemia in patients with MAFLD

    baseline

Interventions

All subjects initially will be subjected to abdominal ultrasound, and if fatty liver is detected fibroscan will be done

Also known as: Fibroscan

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age: 18-80 years

You may not qualify if:

  • Pregnant females.
  • Patients who will refuse to participate in the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (23)

  • Adams LA, Lymp JF, St Sauver J, Sanderson SO, Lindor KD, Feldstein A, Angulo P. The natural history of nonalcoholic fatty liver disease: a population-based cohort study. Gastroenterology. 2005 Jul;129(1):113-21. doi: 10.1053/j.gastro.2005.04.014.

    PMID: 16012941BACKGROUND
  • Matteoni CA, Younossi ZM, Gramlich T, Boparai N, Liu YC, McCullough AJ. Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity. Gastroenterology. 1999 Jun;116(6):1413-9. doi: 10.1016/s0016-5085(99)70506-8.

    PMID: 10348825BACKGROUND
  • 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.

    PMID: 32278004BACKGROUND
  • 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.

    PMID: 28930295BACKGROUND
  • Sarin SK, Kumar M, Eslam M, George J, Al Mahtab M, Akbar SMF, Jia J, Tian Q, Aggarwal R, Muljono DH, Omata M, Ooka Y, Han KH, Lee HW, Jafri W, Butt AS, Chong CH, Lim SG, Pwu RF, Chen DS. Liver diseases in the Asia-Pacific region: a Lancet Gastroenterology & Hepatology Commission. Lancet Gastroenterol Hepatol. 2020 Feb;5(2):167-228. doi: 10.1016/S2468-1253(19)30342-5. Epub 2019 Dec 15.

    PMID: 31852635BACKGROUND
  • Hegazy M, Abo-Elfadl S, Mostafa A, Ibrahim M, Rashed L, Salman A. Serum Resistin Level and Its Receptor Gene Expression in Liver Biopsy as Predictors for the Severity of Nonalcoholic Fatty Liver Disease. Euroasian J Hepatogastroenterol. 2014 Jul-Dec;4(2):59-62. doi: 10.5005/jp-journals-10018-1102i. Epub 2014 Jul 28.

    PMID: 29699348BACKGROUND
  • Bedogni G, Bellentani S, Miglioli L, Masutti F, Passalacqua M, Castiglione A, Tiribelli C. The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population. BMC Gastroenterol. 2006 Nov 2;6:33. doi: 10.1186/1471-230X-6-33.

    PMID: 17081293BACKGROUND
  • Huang X, Xu M, Chen Y, Peng K, Huang Y, Wang P, Ding L, Lin L, Xu Y, Chen Y, Lu J, Wang W, Bi Y, Ning G. Validation of the Fatty Liver Index for Nonalcoholic Fatty Liver Disease in Middle-Aged and Elderly Chinese. Medicine (Baltimore). 2015 Oct;94(40):e1682. doi: 10.1097/MD.0000000000001682.

    PMID: 26448014BACKGROUND
  • Sandrin L, Fourquet B, Hasquenoph JM, Yon S, Fournier C, Mal F, Christidis C, Ziol M, Poulet B, Kazemi F, Beaugrand M, Palau R. Transient elastography: a new noninvasive method for assessment of hepatic fibrosis. Ultrasound Med Biol. 2003 Dec;29(12):1705-13. doi: 10.1016/j.ultrasmedbio.2003.07.001.

    PMID: 14698338BACKGROUND
  • Castera L, Forns X, Alberti A. Non-invasive evaluation of liver fibrosis using transient elastography. J Hepatol. 2008 May;48(5):835-47. doi: 10.1016/j.jhep.2008.02.008. Epub 2008 Feb 26.

    PMID: 18334275BACKGROUND
  • Afdhal NH. Fibroscan (transient elastography) for the measurement of liver fibrosis. Gastroenterol Hepatol (N Y). 2012 Sep;8(9):605-7. No abstract available.

    PMID: 23483859BACKGROUND
  • Sandrin L, Tanter M, Gennisson JL, Catheline S, Fink M. Shear elasticity probe for soft tissues with 1-D transient elastography. IEEE Trans Ultrason Ferroelectr Freq Control. 2002 Apr;49(4):436-46. doi: 10.1109/58.996561.

    PMID: 11989699BACKGROUND
  • Gennisson JL, Deffieux T, Fink M, Tanter M. Ultrasound elastography: principles and techniques. Diagn Interv Imaging. 2013 May;94(5):487-95. doi: 10.1016/j.diii.2013.01.022. Epub 2013 Apr 22.

    PMID: 23619292BACKGROUND
  • Sasso M, Miette V, Sandrin L, Beaugrand M. The controlled attenuation parameter (CAP): a novel tool for the non-invasive evaluation of steatosis using Fibroscan. Clin Res Hepatol Gastroenterol. 2012 Feb;36(1):13-20. doi: 10.1016/j.clinre.2011.08.001. Epub 2011 Sep 15.

    PMID: 21920839BACKGROUND
  • Kwok R, Tse YK, Wong GL, Ha Y, Lee AU, Ngu MC, Chan HL, Wong VW. Systematic review with meta-analysis: non-invasive assessment of non-alcoholic fatty liver disease--the role of transient elastography and plasma cytokeratin-18 fragments. Aliment Pharmacol Ther. 2014 Feb;39(3):254-69. doi: 10.1111/apt.12569. Epub 2013 Dec 5.

    PMID: 24308774BACKGROUND
  • Sasso M, Beaugrand M, de Ledinghen V, Douvin C, Marcellin P, Poupon R, Sandrin L, Miette V. Controlled attenuation parameter (CAP): a novel VCTE guided ultrasonic attenuation measurement for the evaluation of hepatic steatosis: preliminary study and validation in a cohort of patients with chronic liver disease from various causes. Ultrasound Med Biol. 2010 Nov;36(11):1825-35. doi: 10.1016/j.ultrasmedbio.2010.07.005. Epub 2010 Sep 27.

    PMID: 20870345BACKGROUND
  • Imajo K, Kessoku T, Honda Y, Tomeno W, Ogawa Y, Mawatari H, Fujita K, Yoneda M, Taguri M, Hyogo H, Sumida Y, Ono M, Eguchi Y, Inoue T, Yamanaka T, Wada K, Saito S, Nakajima A. Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography. Gastroenterology. 2016 Mar;150(3):626-637.e7. doi: 10.1053/j.gastro.2015.11.048. Epub 2015 Dec 8.

    PMID: 26677985BACKGROUND
  • Myers RP, Pollett A, Kirsch R, Pomier-Layrargues G, Beaton M, Levstik M, Duarte-Rojo A, Wong D, Crotty P, Elkashab M. Controlled Attenuation Parameter (CAP): a noninvasive method for the detection of hepatic steatosis based on transient elastography. Liver Int. 2012 Jul;32(6):902-10. doi: 10.1111/j.1478-3231.2012.02781.x. Epub 2012 Mar 21.

    PMID: 22435761BACKGROUND
  • de Ledinghen V, Vergniol J, Foucher J, Merrouche W, le Bail B. Non-invasive diagnosis of liver steatosis using controlled attenuation parameter (CAP) and transient elastography. Liver Int. 2012 Jul;32(6):911-8. doi: 10.1111/j.1478-3231.2012.02820.x.

    PMID: 22672642BACKGROUND
  • Kumar M, Rastogi A, Singh T, Behari C, Gupta E, Garg H, Kumar R, Bhatia V, Sarin SK. Controlled attenuation parameter for non-invasive assessment of hepatic steatosis: does etiology affect performance? J Gastroenterol Hepatol. 2013 Jul;28(7):1194-201. doi: 10.1111/jgh.12134.

    PMID: 23425053BACKGROUND
  • Shen F, Zheng RD, Mi YQ, Wang XY, Pan Q, Chen GY, Cao HX, Chen ML, Xu L, Chen JN, Cao Y, Zhang RN, Xu LM, Fan JG. Controlled attenuation parameter for non-invasive assessment of hepatic steatosis in Chinese patients. World J Gastroenterol. 2014 Apr 28;20(16):4702-11. doi: 10.3748/wjg.v20.i16.4702.

    PMID: 24782622BACKGROUND
  • Chan WK, Nik Mustapha NR, Mahadeva S. Controlled attenuation parameter for the detection and quantification of hepatic steatosis in nonalcoholic fatty liver disease. J Gastroenterol Hepatol. 2014;29(7):1470-6. doi: 10.1111/jgh.12557.

    PMID: 24548002BACKGROUND
  • Lupsor-Platon M, Feier D, Stefanescu H, Tamas A, Botan E, Sparchez Z, Maniu A, Badea R. Diagnostic accuracy of controlled attenuation parameter measured by transient elastography for the non-invasive assessment of liver steatosis: a prospective study. J Gastrointestin Liver Dis. 2015 Mar;24(1):35-42. doi: 10.15403/jgld.2014.1121.mlp.

    PMID: 25822432BACKGROUND

MeSH Terms

Conditions

Non-alcoholic Fatty Liver Disease

Interventions

Ultrasonography

Condition Hierarchy (Ancestors)

Fatty LiverLiver DiseasesDigestive System Diseases

Intervention Hierarchy (Ancestors)

Diagnostic ImagingDiagnostic Techniques and ProceduresDiagnosis

Study Officials

  • Sherif Kamel, Professor

    Assiut University

    STUDY DIRECTOR
  • Mohammed Medhat, Lecturer

    Assiut University

    STUDY DIRECTOR

Central Study Contacts

Yusuf Amry, Resident

CONTACT

Magda Hassan, Professor

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
SCREENING
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Resident

Study Record Dates

First Submitted

April 20, 2021

First Posted

April 27, 2021

Study Start

September 1, 2021

Primary Completion

September 1, 2022

Study Completion

December 1, 2022

Last Updated

April 27, 2021

Record last verified: 2021-04