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Submission Status
Submitted
Abstract
Abstract Title
Gut Microbiota Diet Index and Kidney Stone Risk in individuals aged 40 and above: Cross-Sectional Analysis
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Endourology: Urolithiasis
Author's Information
Number of Authors (including submitting/presenting author) *
4
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
China
Co-author 1
Yunfei Xiao xiaoyunfeix@163.com West China Hospital UROLOGY Chengdu China *
Co-author 2
Shunyu Gao gaoshunyu0104@163.com West China Hospital UROLOGY Chengdu China -
Co-author 3
Yaqing Yang yyq_wch@163.com West China Hospital Department of Respiratory and Critical Care Medicine Chengdu China -
Co-author 4
Tao Lin 1242977125@qq.com West China Hospital UROLOGY Chengdu China -
Co-author 5
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Co-author 6
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Co-author 7
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Co-author 8
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Co-author 9
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Co-author 10
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Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Co-author 16
Co-author 17
Co-author 18
Co-author 19
Co-author 20
Abstract Content
Introduction
Given the contentious relationship between gut microbiota and kidney stones, we investigated the association between the Dietary Index for Gut Microbiota (DI-GM) and the prevalence of kidney stones in a nationally representative sample from the United States.
Materials and Methods
We analyzed data from 20,469 participants in the National Health and Nutrition Examination Survey (NHANES). A multivariate logistic regression model was used to identify the correlation between DI-GM scores and kidney stone incidence, supplemented by smooth curve fitting for further exploration. To validate our findings, we performed subgroup analyses, interaction tests, and sensitivity analyses.
Results
In this study, the average age of participants with kidney stones (59.75 ± 11.52 years) was higher than that of participants without stones (57.81 ± 11.66 years). In the fully adjusted multivariable logistic regression model, each unit increase in DI-GM scores was associated with a 5% reduction in kidney stone incidence (OR = 0.95; 95% CI: 0.92–0.98; P < 0.001). When comparing DI-GM groups, the fourth group demonstrated a 21% reduction in kidney stone incidence relative to the first group (OR = 0.79; 95% CI: 0.70–0.89; P < 0.001). A smoothed curve fit revealed a negative linear relationship, and both subgroup and the robustness of these findings was confirmed by sensitivity analyses.
Conclusions
Our findings indicate a linear association between DI-GM scores and the incidence of kidney stones, with higher DI-GM scores linked to a lower incidence of kidney stones.
Keywords
Nephrolithiasis; gut microbiota; diet
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1520
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