Objective: To examine the relation between perirenal fat volume, which is one of the visceral fat measurements, and kidney stones.
Methods: 169 patients admitted to our clinic between January 2018 and May 2021 were included in the study. The patients were divided into 2 groups as Control Group and Unilateral Kidney Stone Group (88 patients with unilateral kidney stones). Contrast-enhanced abdominal computed tomography scans were used to measure perirenal fat volume and the results were transferred to workstations. The total perirenal fat volumes in the bilateral kidneys of patients were compared between the two groups. The perirenal fat volume in stone-bearing and non-stone bearing kidneys of patients were also compared.
Results: The total perirenal fat volume was higher in the Unilateral Kidney Stone Group than in the other groups and the perirenal fat volume of the patients in this group was higher in the stone bearing kidney (295.6±164.4cm) than in the non-stone bearing kidney (273.1±179.6cm). In the ROC analysis, it was concluded that total perirenal fat volume>387cm3 increased the risk of kidney stones. Presence of hypertension, presence of hyperlipidemia and total perirenal fat volume>387cm3 were found to be independent risk factors for the presence of kidney stones.
Conclusion: Perirenal fat volume is higher in stone bearing kidneys compared to non-stone bearing kidneys. Therefore, stone formation in a kidney is directly related to the perirenal fat volume of that kidney. Also, total perirenal fat volume>387cm increases the risk of kidney stones independently of body mass index, and predicts it better.
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http://dx.doi.org/10.2174/1573405617666211130154127 | DOI Listing |
Nutr Metab Cardiovasc Dis
November 2024
Department of Urology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, 364000, China.
Background And Aims: This study evaluated the predictive value of the APF risk score in East Asian patients undergoing open nephrectomy and its correlation with hypertension and NAFLD.
Methods And Results: A retrospective study used the clinical data of 82 patients who underwent ON between January 2010 and December 2022. Per their APF score, patients were categorized into groups A (0-2 points) and B (3-4 points).
Animal
December 2024
Institute of Animal Science and Technology, Universitat Politècnica de València, Camino de Vera, s/n. 46022 Valencia, Spain.
Genetic selection for growth rate has often been related with potential negative effects on various reproductive traits across different species. Using rabbit as a model, this study has evaluated for the first time how genetic selection for growth rate has affected feed efficiency, resource allocation, blood traits, reproductive performance and survival during five reproductive cycles in rabbit does. To this end, we used 88 reproductive rabbit females from two vitrified and rederived populations of the same paternal line, differing only in 18 generations of genetic selection for growth rate (n = 44 for R19V and n = 44 for RV37V).
View Article and Find Full Text PDFJ Inflamm Res
December 2024
National Metabolic Management Center, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, 364000, People's Republic of China.
Background: Emerging evidence suggests that increased perirenal adipose tissue (PAT) may trigger systemic inflammation and oxidative stress, potentially contributing to hyperuricemia (HUA). This study aimed to explore the link between PAT and HUA risk, and the potential mediating role of inflammation and oxidative stress.
Methods: This study recruited 903 participants with T2DM.
J Nutr Sci
December 2024
Kidney Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Renal sinus fat (RSF) crucially influences metabolic regulation, inflammation, and vascular function. We investigated the association between RSF accumulation, metabolic disorders, and nutritional status in obese individuals with hypertension. A cross-sectional study involved 51 obese hypertensive patients from Salamat Specialized Community Clinic (February-September 2022).
View Article and Find Full Text PDFInt Urol Nephrol
December 2024
Department of Radiology, School of Medicine, Tianjin First Central Hospital, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China.
Objective: To investigate the value of multiparametric magnetic resonance imaging (MRI) as a non-invasive method to predict the aggressiveness of renal cell carcinoma (RCC) by developing a convolutional neural network (CNN) model and fusing it with clinical characteristics.
Methods: Multiparametric abdominal MRI was performed on 47 pathologically confirmed RCC patients between 2019 and 2023. Preoperative MRI was performed on all patients to assess their clinical characteristics.
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