Literature DB >> 24709347

The relationship between urinary stone components and visceral adipose tissue using computed tomography--based fat delineation.

Jae Heon Kim1, Seung Whan Doo1, Won Jae Yang2, Yun Seob Song1, Jiyoung Hwang3, Seong Sook Hong3, Soon-Sun Kwon4.   

Abstract

OBJECTIVE: To determine the relationship between body mass index (BMI), visceral adipose tissue (VAT), and stone components.
METHODS: A cross-sectional study has been done for urinary stone cohort between 2010 and 2012. Data on patient's age, gender, BMI, urinary pH, stone components, and VAT using computed tomography-based delineation were collected. Obesity was defined as BMI≥25 kg/m2 or as VAT≥100 cm2. To compare the differences between the types of stones, multinomial logistic regression analyses were conducted.
RESULTS: Of 203 cases, 49.3% patients were obese based on BMI, and 65.5% were obese using VAT criteria. Multinomial logistic regression analysis revealed that obesity defined by VAT was found to be associated with uric acid stones compared with calcium phosphate stones (odds ratio [OR] 6.544, 95% confidence interval [CI], P=.030) and mixed calcium oxalate phosphate stones (OR 5.582, 95% CI, P=.038). Similar results were observed in calcium oxalate stones over calcium phosphate stones (OR 2.984, 95% CI, P=.032) and calcium oxalate phosphate stones (OR 2.542, 95% CI, P=.041). On the contrary, obesity defined based on BMI has no correlation over all types of urinary stone components.
CONCLUSION: This result implies that VAT has a more important role in uric acid and calcium oxalate stone formation than total body fat, represented by BMI.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24709347     DOI: 10.1016/j.urology.2014.01.026

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  6 in total

1.  Obesity and Its Impact on Kidney Stone Formation.

Authors:  William Poore; Carter J Boyd; Nikhi P Singh; Kyle Wood; Barbara Gower; Dean G Assimos
Journal:  Rev Urol       Date:  2020

2.  Impact of Demographic Factors and Systemic Disease on Urinary Stone Risk Parameters Amongst Stone Formers.

Authors:  Kyle Wood; Carter Boyd; Dustin Whitaker; Omotola Ashorobi; William Poore; Barbara Gower; Dean G Assimos
Journal:  Rev Urol       Date:  2019

3.  Subcutaneous Adipose Tissue Accumulation Is an Independent Risk Factor of Urinary Stone in Young People.

Authors:  Zixing Ye; He Xiao; Guanghua Liu; Yi Qiao; Yi Zhao; Zhigang Ji; Xiaohong Fan; Rongrong Li; Ou Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-30       Impact factor: 6.055

4.  The Obesity Epidemic and Its Impact on Urologic Care.

Authors:  David Mobley; Neil Baum
Journal:  Rev Urol       Date:  2015

5.  Which anthropometric measurements including visceral fat, subcutaneous fat, body mass index, and waist circumference could predict the urinary stone composition most?

Authors:  Jae Heon Kim; Seung Whan Doo; Kang Su Cho; Won Jae Yang; Yun Seob Song; Jiyoung Hwang; Seong Sook Hong; Soon-Sun Kwon
Journal:  BMC Urol       Date:  2015-03-14       Impact factor: 2.264

Review 6.  The influence of metabolic syndrome and its components on the development of nephrolithiasis.

Authors:  Carter Boyd; Kyle Wood; Dustin Whitaker; Dean G Assimos
Journal:  Asian J Urol       Date:  2018-06-08
  6 in total

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