The potential of the serum uric acid to high-density lipoprotein cholesterol ratio as a predictive biomarker of diabetes risk: a study based on NHANES 2005–2018

Jianming Yin, Chuanjie Zheng, Xiaoqian Lin, Chaoqiang Huang, Zhanhui Hu, Shuyuan Lin, Yiqian Qu · 2025

Read The potential of the serum uric acid to high-density lipoprotein cholesterol ratio as a predictive biomarker of diabetes risk: a study based on NHANES 2005–2018 by Jianming Yin, Chuanjie Zheng, Xiaoqian Lin, Chaoqiang Huang, Zhanhui Hu, Shuyuan Lin, Yiqian Qu (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11798810.txt.

Description

Yin and co-authors test a simple blood ratio as a predictor of diabetes risk in a large US survey sample. The ratio joins uric acid to HDL, the so-called good cholesterol. Past work linked the ratio to diabetes, but proof in big, varied groups was thin. The team used health survey data from 30,813 people gathered from 2005 to 2018. They modeled the link between the ratio and diabetes while adjusting for other factors.

Selection methods flagged the strongest predictors to include. Curve tools checked whether the ratio's link to risk bends at some level. The authors judged the model by accuracy, calibration, and clinical value. A cheap ratio that works across groups could aid early screening.

Catalog record

CREATORJianming Yin, Chuanjie Zheng, Xiaoqian Lin, Chaoqiang Huang, Zhanhui Hu, Shuyuan Lin, Yiqian Qu
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE41 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11798810

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