Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018

Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018

Abstract Background The intake of dietary antioxidants and glycolipid metabolism are closely related to chronic kidney disease (CKD), particularly among individuals with abdominal obesity. Nevertheless, the cumulative effect of multiple comorbid risk factors on the progression and complications of C...

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Main Authors: Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Lipids in Health and Disease
Subjects:
Chronic kidney disease
Machine learning
Triglyceride glucose-waist circumference
Composite dietary antioxidant index
Abdominal obesity
Online Access:https://doi.org/10.1186/s12944-024-02384-7
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https://doi.org/10.1186/s12944-024-02384-7

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