Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study

ABSTRACT Hyperuricemia (HUA) is a metabolic abnormality syndrome caused by disorders of purine metabolism. This study aimed to investigate the predictive value of the low‐density lipoprotein cholesterol to high‐density lipoprotein cholesterol ratio (LHR) for the risk of developing HUA. We extracted...

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Main Authors: Yanyu Zhang, Xiaoyi Liu, Deyun Luo, Bingli Chen, Chenyi Lai, Chenyu He, Luo Yan, Haifeng Ding, Shiyang Li
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Clinical and Translational Science
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Online Access:https://doi.org/10.1111/cts.70122
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author Yanyu Zhang
Xiaoyi Liu
Deyun Luo
Bingli Chen
Chenyi Lai
Chenyu He
Luo Yan
Haifeng Ding
Shiyang Li
author_facet Yanyu Zhang
Xiaoyi Liu
Deyun Luo
Bingli Chen
Chenyi Lai
Chenyu He
Luo Yan
Haifeng Ding
Shiyang Li
author_sort Yanyu Zhang
collection DOAJ
description ABSTRACT Hyperuricemia (HUA) is a metabolic abnormality syndrome caused by disorders of purine metabolism. This study aimed to investigate the predictive value of the low‐density lipoprotein cholesterol to high‐density lipoprotein cholesterol ratio (LHR) for the risk of developing HUA. We extracted data from the China Health and Retirement Longitudinal Study (CHARLS) database from 2011 to 2016. Multivariable logistic regression, restricted cubic splines (RCSs) analysis, and linear correlation analysis were conducted to evaluate the association between LHR and risk of developing HUA. Subgroup analyses and interaction tests were also performed. A higher LHR was associated with an increased incidence of HUA (7.8% vs. 9.9% vs. 13.9, p < 0.001). The LHR was also higher in the HUA group compared to the non‐HUA group (2.64 ± 1.07 vs. 2.40 ± 0.91, p < 0.001). When assessed as a continuous variable, LHR was independently associated with the risk of HUA (OR = 1.27, 95% CI = 1.16–1.39, p < 0.001). The risk of developing HUA was significantly higher among individuals with the highest LHR subgroup than those with the lowest LHR subgroup (OR = 1.81, 95% CI = 1.47–2.23, p < 0.001). RCS analysis revealed a significant nonlinear association between an increased LHR and a higher risk of developing HUA. The predictive abilities of LHR for HUA were 0.577. The composite variable comprising LHR and other traditional risk factors could significantly enhance the ability to predict HUA (C statistic = 0.677). In conclusion, a higher LHR was associated with an increased risk of developing HUA. Further studies on LHR could be beneficial for preventing and treating HUA.
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spelling doaj-art-80c845ae254546dd8702e13580edc3692025-01-24T08:17:46ZengWileyClinical and Translational Science1752-80541752-80622025-01-01181n/an/a10.1111/cts.70122Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort StudyYanyu Zhang0Xiaoyi Liu1Deyun Luo2Bingli Chen3Chenyi Lai4Chenyu He5Luo Yan6Haifeng Ding7Shiyang Li8Clinical Laboratory Panzhihua Central Hospital Panzhihua ChinaDepartment of Geriatrics Panzhihua Central Hospital Panzhihua ChinaDepartment of Geriatrics Panzhihua Central Hospital Panzhihua ChinaDepartment of Geriatrics Panzhihua Central Hospital Panzhihua ChinaDepartment of Geriatrics Panzhihua Central Hospital Panzhihua ChinaDepartment of Geriatrics Panzhihua Central Hospital Panzhihua ChinaHuaping County People's Hospital Lijiang City Yunnan Province ChinaDivision of Cardiology The First Affiliated Hospital of Shihezi University Shihezi ChinaDepartment of Geriatrics Panzhihua Central Hospital Panzhihua ChinaABSTRACT Hyperuricemia (HUA) is a metabolic abnormality syndrome caused by disorders of purine metabolism. This study aimed to investigate the predictive value of the low‐density lipoprotein cholesterol to high‐density lipoprotein cholesterol ratio (LHR) for the risk of developing HUA. We extracted data from the China Health and Retirement Longitudinal Study (CHARLS) database from 2011 to 2016. Multivariable logistic regression, restricted cubic splines (RCSs) analysis, and linear correlation analysis were conducted to evaluate the association between LHR and risk of developing HUA. Subgroup analyses and interaction tests were also performed. A higher LHR was associated with an increased incidence of HUA (7.8% vs. 9.9% vs. 13.9, p < 0.001). The LHR was also higher in the HUA group compared to the non‐HUA group (2.64 ± 1.07 vs. 2.40 ± 0.91, p < 0.001). When assessed as a continuous variable, LHR was independently associated with the risk of HUA (OR = 1.27, 95% CI = 1.16–1.39, p < 0.001). The risk of developing HUA was significantly higher among individuals with the highest LHR subgroup than those with the lowest LHR subgroup (OR = 1.81, 95% CI = 1.47–2.23, p < 0.001). RCS analysis revealed a significant nonlinear association between an increased LHR and a higher risk of developing HUA. The predictive abilities of LHR for HUA were 0.577. The composite variable comprising LHR and other traditional risk factors could significantly enhance the ability to predict HUA (C statistic = 0.677). In conclusion, a higher LHR was associated with an increased risk of developing HUA. Further studies on LHR could be beneficial for preventing and treating HUA.https://doi.org/10.1111/cts.70122CHARLShyperuricemiaLHRnonlinear associationrisk
spellingShingle Yanyu Zhang
Xiaoyi Liu
Deyun Luo
Bingli Chen
Chenyi Lai
Chenyu He
Luo Yan
Haifeng Ding
Shiyang Li
Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study
Clinical and Translational Science
CHARLS
hyperuricemia
LHR
nonlinear association
risk
title Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study
title_full Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study
title_fullStr Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study
title_full_unstemmed Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study
title_short Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study
title_sort association of ldl c hdl c ratio with hyperuricemia a national cohort study
topic CHARLS
hyperuricemia
LHR
nonlinear association
risk
url https://doi.org/10.1111/cts.70122
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