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The relationship between renal sinus lipomatosis detected at abdominal computed tomography and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors

PURPOSE: To investigate the relationship between renal sinus lipomatosis (RSL) and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors. MATERIAL AND METHODS: A total 73 subjects were included in the study. The study group consisted of 35 cases with RSL and 38 control case...

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Detalles Bibliográficos
Autores principales: Yalçın, Kadihan, Elibol, Özlem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247016/
https://www.ncbi.nlm.nih.gov/pubmed/32467739
http://dx.doi.org/10.5114/pjr.2020.93429
Descripción
Sumario:PURPOSE: To investigate the relationship between renal sinus lipomatosis (RSL) and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors. MATERIAL AND METHODS: A total 73 subjects were included in the study. The study group consisted of 35 cases with RSL and 38 control cases matched for age and sex. Total, visceral, and subcutaneous abdominal fat areas were measured by abdominal computed tomography (CT). The relationship between RSL and visceral abdominal fat, subcutaneous abdominal fat, total abdominal fat, high total cholesterol level, high low-density lipoprotein (LDL) cholesterol level, high very low-density lipoprotein (VLDL) cholesterol level, high triglyceride level, low high-density lipoprotein (HDL) cholesterol level, impaired fasting glucose level, type 2 diabetes mellitus, hypertension (HT), and metabolic syndrome (MS) were investigated. RESULTS: RSL existence was observed at significantly higher levels statistically in cases with low HDL cholesterol level, high LDL cholesterol level, high VLDL cholesterol level, high triglyceride level, high total cholesterol level, and high glucose levels. In the presence of MS, DM, and HT, the presence of RSL was at a significantly higher level according to the statistics. Logistic regression analysis was performed to examine the factors affecting RSL presence together. It was observed that the model formed as the result of the evaluation using the backward method is statistically significant. Furthermore, the variables of age, high total cholesterol level, high glucose level, and abdominal subcutaneous fat were included in the obtained model. CONCLUSIONS: Our study demonstrated an association between the presence of RSL and age, high total cholesterol level, high glucose level, and subcutaneous fat.