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Elevated remnant cholesterol as a potential predictor for cardiovascular events in rheumatoid arthritis patients.
Chang, Ching-Kun; Li, Yi-Chen; Chen, Po-Ku; Chang, Shih-Hsin; Chen, Der-Yuan.
Affiliation
  • Chang CK; Rheumatology and Immunology Center, China Medical University Hospital, Taichung, Taiwan.
  • Li YC; College of Medicine, China Medical University, Taichung, Taiwan.
  • Chen PK; Translational Medicine Laboratory, Rheumatology and Immunology Center, China Medical University Hospital, Taichung, Taiwan.
  • Chang SH; Organ-on-a Chip Fabrication and Verification Division, Taiwan Instrument Research Institute, National Applied Research Laboratories, Hsinchu, Taiwan.
  • Chen DY; Clinical Medicine Research Center, National Cheng Kung University Hospital, Tainan, Taiwan.
Front Cardiovasc Med ; 11: 1449219, 2024.
Article in En | MEDLINE | ID: mdl-39323754
ABSTRACT

Objective:

The risk of cardiovascular disease (CVD) in patients with rheumatoid arthritis (RA) remains inadequately defined. Consequently, this study aims to evaluate the predictive value of remnant cholesterol (RC) for assessing CVD risk in RA patients.

Methods:

Plasma RC levels were measured in 114 RA patients and 41 healthy controls, calculated as total cholesterol minus HDL-C and LDL-C. These levels were further analyzed using 1H-NMR lipid/metabolomics. Meanwhile, the 28-joint Disease Activity Score (DAS28) assessed RA activity.

Results:

RC levels were significantly elevated in RA patients (19.0 mg/dl, p < 0.001) compared to healthy controls (14.5 mg/dl). Furthermore, RC levels were significantly elevated at 37.4 mg/dl in patients who experienced cardiovascular event (CVE) compared to 17.4 mg/dl in those without CVE (p < 0.001). To enhance the precision and reliability of RC measurements, RC concentrations were further validated using 1H-NMR spectroscopy. Additionally, a positive correlation was observed between RC levels and DAS28. Multivariate analysis identified RC as a significant predictor of CVE (odds ratio = 1.82, p = 0.013). ROC curve analysis revealed superior predictive capability of RC for CVE (AUC = 0.919, p < 0.001) compared to LDL-C (AUC = 0.669, p = 0.018), with a high sensitivity of 94.7% and a specificity of 82.1%.

Conclusion:

Elevated RC levels demonstrate greater accuracy in predicting CVE occurrence in RA patients compared to traditional measures such as LDL-C. These findings suggest that elevated RC levels may serve as a novel predictor for occurrence of CVE in RA patients, facilitating early intervention strategies based on the risk stratification.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Cardiovasc Med Year: 2024 Document type: Article Affiliation country: Taiwan Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Cardiovasc Med Year: 2024 Document type: Article Affiliation country: Taiwan Country of publication: Switzerland