Value of Anti-CCP Antibody and RF in Cardiovascular Disease in Patients with Rheumatoid Arthritis and the Construction of Prediction Model
10.11969/j.issn.1673-548X.2025.03.020
- VernacularTitle:抗CCP抗体及RF在类风湿关节炎患者心血管疾病中的价值及预测模型的构建
- Author:
Feiyu HUANG
1
;
Lixin FENG
1
;
Jing SUN
1
Author Information
1. 450002 郑州大学附属郑州中心医院风湿免疫内科
- Publication Type:Journal Article
- Keywords:
Rheumatoid arthritis;
Anti-CCP antibody;
Rheumatoid factor;
Cardiovascular disease risk prediction;
Predictor model
- From:
Journal of Medical Research
2025;54(3):108-113
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a nomogram prediction model based on anti-cyclic citrullinated peptide antibody(anti-CCP an-tibody)and rheumatoid factor(RF)to predict the probability of cardiovascular disease(CVD)in patients with rheumatoid arthritis(RA).Methods A total of 437 RA patients admitted to Zhengzhou Central Hospital Affiliated to Zhengzhou University from January 2018 to February 2024 were selected as the study objects,the clinical data of the patients were collected,and they were divided into RA+CVD group(n=88)and RA group(n=349)according to the follow-up results.The risk factors of CVD in RA patients were screened by univariate and multivariate Logistic regression analysis,and the prediction model of CVD in RA patients was constructed and internally validated.Results Multivariate Logistic regression analysis showed that age,course of disease,uric acid,C-reactive protein,hyperten-sion and diabetes,anti-CCP antibody and RF were independent risk factors for CVD in RA patients(P＜0.05).The constructed mod-el was internally validated.The area under the area(AUC)of the training set and the validation set were 0.891(95％CI:0.851-0.930)and 0.867(95％CI:0.790-0.944).Conclusion The prediction model constructed in this paper has good predictive and dis-crimination ability,and has a high predictive value for whether RA patients are complicated with CVD.
