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Submitted
Abstract
Abstract Title
Association between cardiometabolic index and kidney stones among U.S. adults
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Endourology: Urolithiasis
Author's Information
Number of Authors (including submitting/presenting author) *
2
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
Jinbao Wang 2631999815@qq.com west china hospital, Sichuan University Chengdu China *
Co-author 2
Qiang Wei weiqiang933@126.com west china hospital, Sichuan University Chengdu China -
Co-author 3
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Co-author 4
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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
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Co-author 12
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Co-author 13
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Co-author 14
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Co-author 15
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Co-author 16
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Co-author 17
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Co-author 18
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Co-author 19
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Co-author 20
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Abstract Content
Introduction
The aim of this study was to investigate the relationship between cardiometabolic index (CMI) and kidney stones.
Materials and Methods
The data for the large sample in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) from 2007–2016. The CMI was calculated from the physical examination and laboratory test data, while the kidney stone history was obtained from the questionnaire. Multiple logistic regression analysis, smoothed curve fitting, threshold effect analysis and subgroup analysis were implemented to explore this correlation.
Results
A total of 29,562 participants were enrolled in our study, including 5,410 (9.47%) patients who were diagnosed with kidney stones. Kidney stone incidence increased by 34% with increasing unit CMI (odds ratio (OR) = 1.34, 95% confidence interval (CI) 1.29-1.40, p < 0.0001). The prevalence of kidney stones was 2.04 times greater in the highest quartile of CMI than in the lowest quartile (OR = 2.04, 95% CI 1.82-2.30, p < 0.0001). Even after adjusting for all covariates, an increase in CMI per unit resulted in a 10% increase in kidney stone incidence (95% CI 1.04- 1.18, p=0.0018). The curve fitting results showed a positive association between CMI and kidney stones. CMI was significantly positively associated with the incidence of kidney stones in both males and females.
Conclusions
There was a positive correlation between CMI and the incidence of kidney stones. This indicates that CMI may serve as a valuable indicator of the risk of kidney stones.
Keywords
CMI;kidney stones;relationship;NHANES
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1502
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