Work

Clinical characteristics and risk factors of dyslipidemia in patients with rheumatoid arthritis

Year: 2026

Type: article

Abstract: BACKGROUND: Dyslipidemia is highly prevalent in patients with rheumatoid arthritis (RA) and may be closely associated with systemic inflammation and disease activity. However, its clinical characteristics and predictive factors remain unclear. METHODS: We retrospectively enrolled 312 RA patients and stratified them into dyslipidemia group (n = 168) and a normolipidemia group (n = 144) based on serum lipid profiles. Correlation analyses were performed to examine associations between lipid levels and inflammatory markers. Multivariate logistic regression was used to identify independent predictors of dyslipidemia. Receiver operating characteristic (ROC) curves were applied to evaluate the predictive performance of individual and combined models. RESULTS: Patients with dyslipidemia had higher levels of total cholesterol (TC), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C), alongside reduced high-density lipoprotein cholesterol (HDLC). The dyslipidemia group also showed higher erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and Disease Activity Score in 28 joints (DAS28). TC, TG, and LDL-C were positively correlated with inflammatory markers and DAS28, while HDL-C correlated negatively. Age, body mass index (BMI), female gender, smoking history, glucocorticoid use, and higher DAS28 were identified as independent risk factors for dyslipidemia. Elevated CRP and IL-6 further increased risk, whereas higher TNF-α levels were protective. Among predictive models, the combined Integrated Model achieved superior discriminative performance, outperforming any single clinical or inflammatory indicator. CONCLUSION: The integrated predictive model combining clinical and inflammatory markers improves risk discrimination, providing a useful tool for early identification of dyslipidemia in RA patients.

Source: Immunobiology

DOI: 10.1016/j.imbio.2026.153171

Authors: Jia Liu, Yehua Jin, Sihan Wang, Xinchun Zheng

Institutions: Shanghai University of Traditional Chinese Medicine, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine

Language: English

Topic: Rheumatoid Arthritis Research and Therapies

Subfield: Rheumatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,840