Perirenal Fats of Chronic Kidney Disease in Patients With Fatty Liver Disease.
NCT ID: NCT06433388
Last Updated: 2024-07-23
Study Results
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Basic Information
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NOT_YET_RECRUITING
70 participants
OBSERVATIONAL
2024-08-31
2025-09-30
Brief Summary
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Detailed Description
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Obesity is one of the most comorbidities over the world, it is related and increase the risk of cardio metabolic disease, as well as it is a strong risk factor for chronic kidney disease (CKD), and the prevalence of both conditions is rising worldwide, Several recent epidemiologic studies have shown that obesity and the metabolic syndrome are independent predictors of CKD. The most common method for defining obesity is based on BMI(weight \[kilograms\] divided by the square of height \[meters\]).
previously abdominal fat distribution have been measured by BMI, waist to hip ratio (WHR), OR Waist circumference. Although waist circumference was noted to be a reliable predictor of visceral fat, many interfering factors may also reduce the reliability of WC in estimating abdominal fat deposition, as well as the associated risk for CKD like ageing and normal difference in fat distribution between the two genders. Based on these considerations, we presume that per renal fat thickness measurement by MRI may better reflect the risks commonly associated with increased visceral fat accumulation and particularly those related to renal function impairment.
Chronic kidney disease is defined as impairment or structural damage to kidney or kidney function. It manifested by reduction in estimated glomerular rate (eGFR) for at least 3 months. It presented with proteinuria or albuminuria, hematuria. The best diagnosis by biopsy showing renal impairment, or by imaging ultrasound. CKD associated with morbidity and mortality condition especially in developing countries, so it has been necessary to early detection to prevent CKD progression and associated complications, thus improving patient outcomes and reducing the impact of CKD on health-care resources.
FLD begins with liver lipid accumulation, and marked hepatic fat accumulation is a risk factor for disease progression. Liver biopsy is the golden for diagnosis and assessment of the severity of steatosis and grading of fibrosis, although being invasive and difficult method. Ultrasound and magnetic resonance imaging (MRI) biomarkers of liver fat Gives the advantage diagnose FLD as it is non-invasive imaging biomarkers to diagnose FLD, steatosis , and fibrosis.
Therefore the aim of this study is to determine the independent association of Perirenal fat assessment by MRI with the main markers of kidney function, such as estimated glomerular filtration rate (eGFR), albuminuria as well as with serum urate values on one side, and grading of fibrosis and steatosis in FLD patients on the other side.
Conditions
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Study Design
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OTHER
CROSS_SECTIONAL
Interventions
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MRI
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
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Inclusion Criteria
Exclusion Criteria
* 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.
18 Years
ALL
No
Sponsors
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Assiut University
OTHER
Responsible Party
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Aml Ahmed Ramadan Mohamed
Doctor
Principal Investigators
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Samir Kamal Abdul_Hamid, prof
Role: STUDY_DIRECTOR
professor
Central Contacts
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References
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Other Identifiers
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perirenal fats of ckd
Identifier Type: -
Identifier Source: org_study_id
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