Related Experiment Video
Updated: Jan 13, 2026
Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Association Between Relative Fat Mass and the Serum Creatinine/Cystatin C Ratio and Cardiometabolic Multimorbidity:
Yanfen Hu1, Lingxia Li1, Ling Yan1
1Department of Geriatric Endocrinology, Metabolism and Respiratory (the Cadre Ward), The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China, xjtu.edu.cn.
Background:
The serum creatinine-cystatin C ratio (SCR/CysC) and relative fat mass (RFM) are both important indicators reflecting muscle and fat content, respectively, and are closely related to metabolic diseases and cardiovascular diseases. However, the roles of SCR/CysC and RFM in cardiometabolic multimorbidity (CMM) remain unclear. This study is aimed at exploring the relationships between SCR/CysC, RFM, and CMM, providing a new perspective for the early identification and intervention of CMM.
Methods:
This study included 9292 Chinese participants from the CHARLS database and 3822 American individuals from the NHANES database. Multivariate logistic regression analysis, restricted cubic spline (RCS) plots, and subgroup analyses were employed to explore the associations of SCR/CysC and RFM with CMM.
Results:
Analyses based on two databases revealed that the level of SCR/CysC levels was significantly negatively correlated with the risk of CMM. Conversely, higher RFM levels were positively correlated with an increased risk of CMM. Specifically, compared to the lower quartile (Q1) of SCR/CysC, the highest quartile (Q4) was associated with a decreased risk of CMM (CHARLS: odds ratio (OR) = 0.89, 95% confidence interval (CI): 0.87-0.91, p < 0.001; NHANES: OR = 0.90, 95% CI: 0.86-0.94, p < 0.001). Compared to the lower quartile (Q1) of RFM, the highest quartile (Q4) was associated with an increased risk of CMM (CHARLS: OR = 1.18, 95% CI: 1.16-1.21, p < 0.001; NHANES: OR = 1.20, 95% CI: 1.15-1.25, p < 0.001). The RCS plot results further supported this relationship, demonstrating that after adjusting for multiple confounding factors, a decrease in SCR/CysC and an increase in RFM were both associated with a higher risk of CMM.
Conclusions:
This study found that SCR/CysC levels were negatively correlated with CMM risk, whereas RFM levels showed a positive correlation. Thus, SCR/CysC and RFM may both serve as potential biomarkers for CMM screening.
More Related Videos
13:35Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
Published on: March 21, 2021
09:40Phosphorus-31 Magnetic Resonance Spectroscopy: A Tool for Measuring In Vivo Mitochondrial Oxidative Phosphorylation Capacity in Human Skeletal Muscle
Published on: January 19, 2017
Related Concept Videos
01:28Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
01:25Drug Dosing in Renal Diseases: Measurement of Serum Creatinine Concentration and Clearance
01:24Serum Studies: Renal Function Tests
01:30Coronary Artery Disease I: Introduction
01:19Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
01:17Factors Affecting Renal Clearance: Renal Impairment
One condition associated with renal failure is uremia. Uremia is characterized by impaired glomerular filtration and fluid accumulation in the body. This condition hinders the renal clearance of drugs, resulting in drug accumulation and potential...