Perirenal Fats of Chronic Kidney Disease in Patients With Fatty Liver Disease.

NCT06433388 | Not Yet Recruiting

• 1 other identifier: perirenal fats of ckd
• Study Type: observational
• Target: 70
• Locations: 0 countries
• Sites: N/A

Brief Summary

Exploring the association of perirenal fat thickness assessed by MRI in CKD patients with FLD.

Conditions

Chronic Kidney Diseases; Fatty Liver

Outcome Measures

Primary Outcomes (1)

• Incidence of increase perirenal fat thickness in CKD patients with fatty liver disease. Perirenal fat thickness measured by magnetic resonance imaging (MRI) and pelvic abdominal ultrasound (PAUS).

  Correlation between perirenal fat thickness measured by MRI and PAUS and the main markers of kidney function, such as estimated glomerular filtration rate (eGFR), albuminuria and serum urate in CKD patient with FLD.

  Baseline

Interventions

MRI DEVICE

Magnetic Resonance Imaging (MRI) is a non-invasive imaging technology that produces three dimensional detailed anatomical images. Patients will be subjected to MRI scans and imaging of the kidneys and liver

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients will be recruited from the out-patient clinics of the Internal Medicine Department, Assiut university

You may qualify if:

• Age more than 18 years old regardless of gender

You may not qualify if:

• Other causes of chronic liver diseases (HCV, HBV...).
• End stage renal diseases (GFR\<15 ml/min).
• A history of significant alcohol intake (\>20 g/day in females and 30 g/day in males).
• Those using medications that can cause fatty liver.
• Pregnant patients.

Sponsors & Collaborators

• Assiut University: lead

Related Publications (10)

• Targher G, Byrne CD. Non-alcoholic fatty liver disease: an emerging driving force in chronic kidney disease. Nat Rev Nephrol. 2017 May;13(5):297-310. doi: 10.1038/nrneph.2017.16. Epub 2017 Feb 20.

  PMID: 28218263 BACKGROUND

• Zhang QH, Xie LH, Zhang HN, Liu JH, Zhao Y, Chen LH, Ju Y, Chen AL, Wang N, Song QW, Xie LZ, Liu AL. Magnetic Resonance Imaging Assessment of Abdominal Ectopic Fat Deposition in Correlation With Cardiometabolic Risk Factors. Front Endocrinol (Lausanne). 2022 Mar 30;13:820023. doi: 10.3389/fendo.2022.820023. eCollection 2022.

  PMID: 35432188 BACKGROUND

• Wahba IM, Mak RH. Obesity and obesity-initiated metabolic syndrome: mechanistic links to chronic kidney disease. Clin J Am Soc Nephrol. 2007 May;2(3):550-62. doi: 10.2215/CJN.04071206. Epub 2007 Mar 14.

  PMID: 17699463 BACKGROUND

• Stenvinkel P, Zoccali C, Ikizler TA. Obesity in CKD--what should nephrologists know? J Am Soc Nephrol. 2013 Nov;24(11):1727-36. doi: 10.1681/ASN.2013040330. Epub 2013 Oct 10.

  PMID: 24115475 BACKGROUND

• Chen J, Muntner P, Hamm LL, Jones DW, Batuman V, Fonseca V, Whelton PK, He J. The metabolic syndrome and chronic kidney disease in U.S. adults. Ann Intern Med. 2004 Feb 3;140(3):167-74. doi: 10.7326/0003-4819-140-3-200402030-00007.

  PMID: 14757614 BACKGROUND

• Sanches FM, Avesani CM, Kamimura MA, Lemos MM, Axelsson J, Vasselai P, Draibe SA, Cuppari L. Waist circumference and visceral fat in CKD: a cross-sectional study. Am J Kidney Dis. 2008 Jul;52(1):66-73. doi: 10.1053/j.ajkd.2008.02.004. Epub 2008 Apr 28.

  PMID: 18440683 BACKGROUND

• Levin A, Stevens PE. Early detection of CKD: the benefits, limitations and effects on prognosis. Nat Rev Nephrol. 2011 Jun 28;7(8):446-57. doi: 10.1038/nrneph.2011.86.

  PMID: 21712852 BACKGROUND

• Tonelli M, Dickinson JA. Early Detection of CKD: Implications for Low-Income, Middle-Income, and High-Income Countries. J Am Soc Nephrol. 2020 Sep;31(9):1931-1940. doi: 10.1681/ASN.2020030277. Epub 2020 Aug 24.

  PMID: 32839279 BACKGROUND

• Ajmera V, Loomba R. Imaging biomarkers of NAFLD, NASH, and fibrosis. Mol Metab. 2021 Aug;50:101167. doi: 10.1016/j.molmet.2021.101167. Epub 2021 Jan 15.

  PMID: 33460786 BACKGROUND

• 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.

  PMID: 25920090 BACKGROUND

MeSH Terms

Conditions

Renal Insufficiency, Chronic; Fatty Liver

Condition Hierarchy (Ancestors)

Renal Insufficiency; Kidney Diseases; Urologic Diseases; Female Urogenital Diseases; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Male Urogenital Diseases; Chronic Disease; Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Liver Diseases; Digestive System Diseases

Study Officials

• Samir Kamal Abdul_Hamid, prof

  professor

  STUDY DIRECTOR

Central Study Contacts

Aml Ahmed Ramadan, Master

CONTACT

+201024485855; aml375090@gmail.com

Samir Kamal Abdul_Hamid

CONTACT

+201062949199; samirkotb45@yahoo.com

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Target Duration: 1 Year
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Doctor

Study Record Dates

• First Submitted: May 22, 2024
• First Posted: May 29, 2024
• Study Start: August 1, 2024
• Primary Completion: August 1, 2025
• Study Completion: September 1, 2025
• Last Updated: July 23, 2024

Record last verified: 2024-07