Remnant cholesterol elevates hyperuricemia risk in the middle aged and elderly Chinese: a longitudinal study DOI Creative Commons
Jin Ma, Feifei Xu,

Yanyuan Zhang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 19, 2024

Evidence regarding the relationship between remnant cholesterol (RC) and hyperuricemia is limited. The purpose of this study to investigate association RC in middle aged elderly Chinese. Information was extracted from China Health Retirement Longitudinal Study (CHARLS) survey 2011 2015. Four logistic regression models were established. Propensity score matching (PSM) inverse probability treatment weighting (IPTW) applied balance baseline. Next, sensitivity analyses restricted cubic spline (RCS) analysis conducted further explore association. Cross-lagged panel model (CLPM) mediation used deduce causal hyperuricemia. This contained 6,447 participants. A positive high found full adjusted (OR:1.80, P < 0.001). Similar results also seen after PSM (OR:1.86, 0.001), IPTW 0.001) sensitive non-overweight subgroups (OR:1.77, Though non-linear not observed, CLPM exhibited that level can directly cause increase blood uric acid (standardized β = 0.005, Moreover, suggested be mediated by hypertension (β 0.024; p 0.004), CRP 0.050; WBC 0.010). High an independent risk factor for hyperuricemia, which inflammation hypertension.

Language: Английский

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

Yanyu Zhang,

Xiaoyi Liu,

Deyun Luo

et al.

Clinical and Translational Science, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 1, 2025

ABSTRACT Hyperuricemia (HUA) is a metabolic abnormality syndrome caused by disorders of purine metabolism. This study aimed to investigate the predictive value low‐density lipoprotein cholesterol high‐density ratio (LHR) for risk developing HUA. We extracted data from China Health and Retirement Longitudinal Study (CHARLS) database 2011 2016. Multivariable logistic regression, restricted cubic splines (RCSs) analysis, linear correlation analysis were conducted evaluate association between LHR Subgroup analyses interaction tests also performed. A higher was associated with an increased incidence HUA (7.8% vs. 9.9% 13.9, p < 0.001). The in group compared non‐HUA (2.64 ± 1.07 2.40 0.91, When assessed as continuous variable, independently (OR = 1.27, 95% CI 1.16–1.39, significantly among individuals highest subgroup than those lowest 1.81, 1.47–2.23, RCS revealed significant nonlinear abilities 0.577. composite variable comprising other traditional factors could enhance ability predict (C statistic 0.677). In conclusion, Further studies on be beneficial preventing treating

Language: Английский

Citations

1

Associations between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and hyperuricemia: a cross-sectional study DOI Creative Commons

Zhimeng Jiang,

Xingyu Zhu,

Donglin Zhao

et al.

Lipids in Health and Disease, Journal Year: 2024, Volume and Issue: 23(1)

Published: Sept. 3, 2024

The value of the non-high-density lipoprotein cholesterol to high-density ratio (NHHR) assessment in context metabolic abnormalities is growing importance. Nevertheless, relationship between NHHR and hyperuricemia (HUA) unknown. This study seeks investigate HUA.

Language: Английский

Citations

6

The association between vitamin E intake and remnant cholesterol, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol in US adults: a cross-sectional study DOI Creative Commons
Yuxuan Wang, Hao Li, Zhihao Zhang

et al.

Lipids in Health and Disease, Journal Year: 2024, Volume and Issue: 23(1)

Published: Oct. 1, 2024

Language: Английский

Citations

6

Nonlinear association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and hyperuricemia in cancer patients: evidence from NHANES 2007–2018 DOI Creative Commons
Ran He,

Qilei Zhu,

Y. Ye

et al.

Lipids in Health and Disease, Journal Year: 2024, Volume and Issue: 23(1)

Published: Aug. 26, 2024

Evidence shows that cancer patients are more likely to have hyperuricemia (HUA) compared the general population, with lipid metabolism playing a significant role. However, it is still unclear whether there non-linear relationship between non-high-density lipoprotein cholesterol high-density ratio (NHHR) and HUA in these patients. This study aims explore association NHHR included participants from NHANES database 2007 2018. We used multivariable logistic regression, restricted cubic splines (RCS) analysis, subgroup analysis examine gout patients, as well investigate differences this among specific subgroups. A total of 2826 were included, prevalence 24.30%. Weighted regression showed for each unit increase NHHR, odds increased by 16% (95% confidence interval [CI]: 1.06, 1.29, P = 0.002). When was divided into tertiles, those highest tertile (Q3) had 1.84 times higher developing lowest (Q1) CI: 1.32, 2.58, < 0.001). no gout. RCS further revealed positive association, particularly males. Subgroup interaction tests indicated stronger who did not history stroke. There

Language: Английский

Citations

4

Association between remnant cholesterol (RC) and endometriosis: a cross-sectional study based on NHANES data DOI Creative Commons

Zeru Chen,

Ruixuan Li,

Jiajie Guo

et al.

Lipids in Health and Disease, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 4, 2025

Prior research indicates a potential link between dyslipidemia and endometriosis (EMs). However, the relationship remnant cholesterol (RC) EMs has not been thoroughly investigated. Consequently, looking into clarifying connection RC was primary goal of this study. Following screening participants from NHANES dataset spanning 2001 to 2006, total 1,840 individuals were incorporated research. A weighted multivariable logistic regression analysis first performed investigate relation likelihood encountering EMs. To assess degree consistency in across different populations, additional subgroup analyses performed. In addition, researchers used extreme gradient boosting (XGBoost) technique area under receiver operating characteristic curve (ROC) evaluate how well recognized Lastly, both linear nonlinear relationships validated using generalized additive models (GAM), while dose-response connections investigated through restricted cubic spline models. After accounting for all confounders, strong correlation identified. particular, an increase one unit linked 135% rise developing Analyses subgroups revealed that these remained stable majority (interaction P-value > 0.05). Multivariable demonstrated RC's independent predictive value, maintaining statistical significance after adjusting confounders. The AUC 0.614 suggests moderate ability discriminate EMs, outperforming traditional markers like LDL-C sensitivity specificity. Furthermore, XGBoost identified as most critical predictor among lipid-related demographic variables. further GAM, which visually confirmed trend, RCS, provided evidence linearity. This study reveals clear having within US population, suggesting marker investigation understanding risk.

Language: Английский

Citations

0

The association between the ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol and serum uric acid levels and risk of hyperuricemia in different sex groups: A cross-sectional study DOI Creative Commons
Jingjing Huang,

Chun‐Rong Chen

Medicine, Journal Year: 2025, Volume and Issue: 104(13), P. e41962 - e41962

Published: March 28, 2025

Dyslipidemia and hyperuricemia are recognized as significant risk factors for cardiovascular metabolic diseases. However, the relationship between novel lipid metabolism marker, non-high-density lipoprotein cholesterol to high-density ratio (NHHR), serum uric acid levels or remains unclear. This study aimed analyze these associations using data from a nationally representative population, with an emphasis on sex-specific differences nonlinear relationships. Data National Health Nutrition Examination Survey conducted 2005 2018 were examined, involving 9439 adults, following application of exclusion criteria. Weighted linear logistic regression models categorized by sex used investigate relationships NHHR, concentrations, hyperuricemia. Nonlinear assessed restricted cubic splines, threshold effects explored 2-part models. Subgroup analyses evaluate potential modifiers NHHR was significantly associated in general population notable differences. In females, found have very positive correlation (OR 1.44, 95% confidence interval [CI]: 1.31–1.58, P < .001); however, this not strong males = 1.07, CI: 0.95–1.20, .20). Repeated showed that had concentration which reached its highest level 3.91 male female inflection points at 4.637 4.452, respectively. demonstrated interactions body mass index (BMI), smoking status, stroke, further highlighting heterogeneity NHHR-hyperuricemia relationship. is independently hyperuricemia, patterns. These findings suggest may serve valuable biomarker assessing risk, particularly females. Further research warranted explore underlying mechanisms clinical implications associations.

Language: Английский

Citations

0

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and hyperuricemia: evidence from the CHARLS study DOI Creative Commons
Xin Hou, Zhenghao Zhu, Xinmin Chen

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: April 25, 2025

Background and aims The non-high-density lipoprotein cholesterol to high-density ratio (NHHR) is an innovative composite lipid measure. This study examine the correlation between NHHR hyperuricemia in middle-aged elderly demographic China. Methods investigation comprised 4,639 individuals who were devoid of at baseline 2011, utilizing data from China Health Retirement Longitudinal Study (CHARLS). We utilized multivariable logistic regression, restricted cubic spline (RCS) analysis, subgroup analysis investigate relationship hyperuricemia. Results A total 499 participants (10.76%) experienced 4-year follow-up. incidence was 176% higher for highest quartile than those lowest (OR 2.76, 95% CI 2.10–3.62, p &lt; 0.001). risk 64% a fully adjusted model 1.64, 1.16–2.31, = 0.005). had linearly positive connection, according ( P non-linearity &gt; 0.05). Subgroup showed that among women, non-smokers, over 60, more significant. Conclusion have substantial linear indicating might be used as tool assessing offering valuable information both prevention therapy.

Language: Английский

Citations

0

The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio with serum uric acid levels and hyperuricemia risk DOI
Jingjing Huang, Chunyong Chen

Published: July 16, 2024

Abstract Background The relationship between the non-high-density lipoprotein cholesterol (non-HDL-C) to high-density (HDL-C) ratio (NHHR), serum uric acid levels, and hyperuricemia risk remains unclear. This study evaluated association NHHR with in US adults. Methods data from National Health Nutrition Examination Survey (NHANES) spanning 2005 2018 were analyzed cross-sectionally using weighted linear regression, logistic restricted cubic splines, threshold effects analysis. Additionally, subgroup analyses performed investigate relationships NHHR, of hyperuricemia. Results Among 9439 individuals (mean age: 48 ± 14 years), mean was 2.56 0.71, level 5.40 0.90. overall prevalence 21%, increasing significantly quartiles (Q1: 13%, Q2: 17%, Q3: 24%, Q4: 31%, P < 0.01). Each unit increase associated a 20% higher (95% confidence interval [CI]: 1.09–1.33, 0.01) 0.13 levels CI: 0.09–0.18, 0.001). Subgroup confirmed these findings across various demographics. A non-linear found levels/hyperuricemia risk, breakpoints at 4.33 3.91, respectively (P for nonlinear Conclusions Elevated is correlated Early intervention management may help mitigate

Language: Английский

Citations

0

Remnant cholesterol elevates hyperuricemia risk in the middle aged and elderly Chinese: a longitudinal study DOI Creative Commons
Jin Ma, Feifei Xu,

Yanyuan Zhang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 19, 2024

Evidence regarding the relationship between remnant cholesterol (RC) and hyperuricemia is limited. The purpose of this study to investigate association RC in middle aged elderly Chinese. Information was extracted from China Health Retirement Longitudinal Study (CHARLS) survey 2011 2015. Four logistic regression models were established. Propensity score matching (PSM) inverse probability treatment weighting (IPTW) applied balance baseline. Next, sensitivity analyses restricted cubic spline (RCS) analysis conducted further explore association. Cross-lagged panel model (CLPM) mediation used deduce causal hyperuricemia. This contained 6,447 participants. A positive high found full adjusted (OR:1.80, P < 0.001). Similar results also seen after PSM (OR:1.86, 0.001), IPTW 0.001) sensitive non-overweight subgroups (OR:1.77, Though non-linear not observed, CLPM exhibited that level can directly cause increase blood uric acid (standardized β = 0.005, Moreover, suggested be mediated by hypertension (β 0.024; p 0.004), CRP 0.050; WBC 0.010). High an independent risk factor for hyperuricemia, which inflammation hypertension.

Language: Английский

Citations

0