Interplay of urea nitrogen, uric acid, and HDL in mediating cystatin C's role in metabolic syndrome: evidence from NHANES 1999-2004 DOI Creative Commons
Meng Zhu,

Fuzhen Pan

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Abstract Background Metabolic syndrome (MetS) significantly increases the risk for cardiovascular diseases and diabetes. This study investigates associations interactions between cystatin C, urea nitrogen, uric acid, high-density lipoprotein (HDL), assessing their collective impact on MetS using data from National Health Nutrition Examination Survey (NHANES) 1999–2004. Methods We conducted a retrospective longitudinal analysis 54,555 participants NHANES. Multivariate logistic regression models were employed to evaluate of C MetS, adjusting demographic lifestyle factors. Mediation quantified effects mediated by HDL. Generalized additive (GAM) explored non-linear relationships among biomarkers. Stratified further dissected these across groups, such as sex, age BMI, assess variability in biomarker impacts. Results Regression demonstrated robust association increased levels higher (adjusted OR highest quartile: 1.69, 95% CI: 1.31–2.18, P < 0.001). indicated that nitrogen acid 24.19% 48.13% effect risk. HDL moderated effects, reducing likelihood where present (mediated 52.58%). The three-way interaction HDL, was also significant (estimate − 0.00232, 0.003). GAM shows relationship increase with up approximately 60 mg/dL, after which they decrease until about mg/dL 80 mg/dL. underscored biomarkers varies age, stronger observed older adults (≥ 65 years), socioeconomic status, lower economic groups (PIR > 3.5) showed heightened vulnerability. Conclusions confirms crucial role predictor influenced its differential profiles emphasizes need personalized approaches management prevention MetS. These insights pave way targeted therapeutic strategies consider individual demographic-specific metabolic profiles.

Language: Английский

The Interrelation of Blood Urea Nitrogen-to-Albumin Ratio with Three-Month Clinical Outcomes in Acute Ischemic Stroke Cases: A Secondary Analytical Exploration Derived from a Prospective Cohort Study DOI Creative Commons

H. Liu,

Yanli Tang,

Quan Zhou

et al.

International Journal of General Medicine, Journal Year: 2024, Volume and Issue: Volume 17, P. 5333 - 5347

Published: Nov. 1, 2024

This study targeted elucidating the intricate correlation of blood urea nitrogen (BUN)-to-albumin (BUN/Alb) ratio with adverse outcomes (AOs) at 3-month in acute ischemic stroke (AIS) cases within a Korean cohort.

Language: Английский

Citations

10
Interaction between age and blood urea nitrogen to creatinine ratio on mortality in patients with severe cirrhosis: a retrospective cohort study from the MIMIC database DOI Creative Commons
Yi Yu, Lin Li, Yinghua Chen

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: March 5, 2025

Cirrhosis is a leading cause of global disease burden, with high mortality, particularly in critically ill patients. The blood urea nitrogen to creatinine ratio (BCR) straightforward biochemical indicator renal excretory function and linked negative outcomes across different conditions. However, the relationship between BCR mortality patients cirrhosis unclear, purpose this study explore question. A retrospective cohort was performed utilizing MIMIC-IV database. We divided into quartiles evaluated 180-day 365-day as primary outcomes. Kaplan-Meier survival analysis multivariate Cox regression modeling were used assess link mortality. Linear relationships further determined using restricted cubic spline (RCS) curves, finally, subgroup analyses also performed. In our 2,816 cirrhotic patients, elevated significantly higher at both 180 365 days. top quartile showed 45% risk (HR=1.45, 95% CI: 1.21-1.73) 38% (HR=1.38, 1.17-1.63) relative bottom quartile. RCS demonstrated notable linear correlation risk. Subgroup indicated stronger association among older values are strongly increased Our research highlights BCR's potential prognostic marker for cirrhosis, especially elderly

Language: Английский

Citations

0
Interplay of urea nitrogen, uric acid, and HDL in mediating cystatin C's role in metabolic syndrome: evidence from NHANES 1999-2004 DOI Creative Commons
Meng Zhu,

Fuzhen Pan

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Abstract Background Metabolic syndrome (MetS) significantly increases the risk for cardiovascular diseases and diabetes. This study investigates associations interactions between cystatin C, urea nitrogen, uric acid, high-density lipoprotein (HDL), assessing their collective impact on MetS using data from National Health Nutrition Examination Survey (NHANES) 1999–2004. Methods We conducted a retrospective longitudinal analysis 54,555 participants NHANES. Multivariate logistic regression models were employed to evaluate of C MetS, adjusting demographic lifestyle factors. Mediation quantified effects mediated by HDL. Generalized additive (GAM) explored non-linear relationships among biomarkers. Stratified further dissected these across groups, such as sex, age BMI, assess variability in biomarker impacts. Results Regression demonstrated robust association increased levels higher (adjusted OR highest quartile: 1.69, 95% CI: 1.31–2.18, P < 0.001). indicated that nitrogen acid 24.19% 48.13% effect risk. HDL moderated effects, reducing likelihood where present (mediated 52.58%). The three-way interaction HDL, was also significant (estimate − 0.00232, 0.003). GAM shows relationship increase with up approximately 60 mg/dL, after which they decrease until about mg/dL 80 mg/dL. underscored biomarkers varies age, stronger observed older adults (≥ 65 years), socioeconomic status, lower economic groups (PIR > 3.5) showed heightened vulnerability. Conclusions confirms crucial role predictor influenced its differential profiles emphasizes need personalized approaches management prevention MetS. These insights pave way targeted therapeutic strategies consider individual demographic-specific metabolic profiles.

Language: Английский

Citations

0