Prognostic value of total body muscle-fat ratio in patients with kidney stone disease: A US population-based study

Wei Song; Huiqing Hu; Jinliang Ni; Haipeng Zhang; Houliang Zhang; Jiahao Lu; Keyi Wang; Weipu Mao; Bo Peng

Heliyon (Sep 2023)

Prognostic value of total body muscle-fat ratio in patients with kidney stone disease: A US population-based study

Wei Song,
Huiqing Hu,
Jinliang Ni,
Haipeng Zhang,
Houliang Zhang,
Jiahao Lu,
Keyi Wang,
Weipu Mao,
Bo Peng

Affiliations

Wei Song: Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, 200062, China; Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, Shanghai, China; Shanghai Clinical College, Anhui Medical University, Shanghai, 200072, China
Huiqing Hu: Department of Oncology, Fuyang Hospital of Anhui Medical University, Fuyang, 236000, China
Jinliang Ni: Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, 200062, China; Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, Shanghai, China; Shanghai Clinical College, Anhui Medical University, Shanghai, 200072, China
Haipeng Zhang: Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, 200062, China; Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, Shanghai, China
Houliang Zhang: Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, 200062, China; Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, Shanghai, China
Jiahao Lu: Shanghai Clinical College, Anhui Medical University, Shanghai, 200072, China
Keyi Wang: Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, 200062, China; Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, Shanghai, China; Corresponding author. Department of Urology, Shanghai Tenth People's Hospital, Tongji University, No.301, Yanchang Middle Road, Shanghai, 200072, Shanghai, China.
Weipu Mao: Department of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, China; Corresponding author. Department of Urology, Affiliated Zhongda Hospital of Southeast University, No. 87 Dingjiaqiao, Hunan Road, Gulou District, Nanjing, 210009, China.
Bo Peng: Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, Shanghai, 200062, China; Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, Shanghai, China; Shanghai Clinical College, Anhui Medical University, Shanghai, 200072, China; Corresponding author. Department of Urology, Shanghai Putuo District People's Hospital, Tongji University, 1291 Jiangning Road, Pu'tuo District, Shanghai 200062, China.

Journal volume & issue: Vol. 9, no. 9
p. e20339

Abstract

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Purpose: To examine the relationship between the muscle-fat ratio (MFR) and kidney stone disease (KSD) in the adult population of the United States between 2011 and 2018, and whether it can be used as a predictor of KSD prognosis. Materials and methods: We conducted a cross-sectional study analysing 9326 patients from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. We analyzed all participants by sex, age, race, level of education, marital status, household income-to-poverty ratio, hypertension, diabetes, vigorous physical activity, moderate physical activity, blood urea nitrogen, creatinine, uric acid, cotinine, and MFR. Dose-response curves with a restricted cubic spline function, univariate and multifactorial logistic regression were used for the analysis of the correlation between MFR and KSD. Finally, we created predictive models based on age, race, hypertension, diabetes mellitus, cotinine and MFR. The prediction model was evaluated using calibration curves, receiver operating characteristic curves and clinical decision curves from the training and test sets. Results: Of the 9326 participants, 8582 (92%) self-reported that they did not have KSD and 744 (8%) self-reported that they had KSD. Univariate and multifactorial logistic regression showed that MFR was negatively associated with the prevalence of KSD (odds ratio [OR]: 0.770, 95% CI: 0.703–0.843; OR: 0.815, 95% CI: 0.738–0.897). Similarly, the risk of developing KSD decreased with increasing MFR as shown by the dose curves in the restricted cubic bar graphs. Furthermore, there is some accuracy (AUC = 0.652) and clinical applicability to the model we constructed based on the results of multifactorial logistic regression. Conclusion: The MFR is protective factor against the developing KSD in adults in the USA.

Published in Heliyon

ISSN: 2405-8440 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Science: Science (General); Social Sciences: Social sciences (General)
Website: https://www.cell.com/heliyon/home

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