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Comparative Study
. 2025 Nov 11;105(41):3775-3782.
doi: 10.3760/cma.j.cn112137-20250304-00514.

[Comparation of the performance of different cardiovascular risk models in predicting cardiovascular diseases risk among Chinese patients with rheumatoid arthritis]

[Article in Chinese]
Affiliations
Comparative Study

[Comparation of the performance of different cardiovascular risk models in predicting cardiovascular diseases risk among Chinese patients with rheumatoid arthritis]

[Article in Chinese]
Y W Zou et al. Zhonghua Yi Xue Za Zhi. .

Abstract

Objective: To compare the performance of four different cardiovascular risk models in predicting cardiovascular diseases (CVD) risk among Chinese patients with rheumatoid arthritis (RA). Methods: This retrospective cohort study included RA patients treated at Sun Yat-sen Memorial Hospital between January 2001 and July 2024. Clinical data were collected, and the main outcome was the events of CVD. Receiver operating characteristic (ROC) and calibration curves were used to evaluate the predictive performance of four CVD risk models in predicting CVD risk among Chinese patients with RA, including Framingham Risk Score (FRS), the Systematic Coronary Risk Evaluation 2 (SCORE2), the Prediction for Arteriosclerotic Cardiovascular Disease Risk in China (China-PAR) and the Expanded cardiovascular Risk Score for RA (ERS-RA). Results: A total of 1 334 RA patients were included in this study, 1 099 females (82.4%), with a mean age of (52.0±12.6) years. During a median follow-up of 6.16 (2.81, 9.07) years, 143(10.7%) patients developed CVD (incidence rate: 16.6 per 1 000 person-years). The ROC analysis revealed good discrimination across four models, with area under the curve (AUC) values ranging from 0.756 to 0.806. Among them, the China-PAR model showed the highest AUC (0.806, 95%CI: 0.760-0.852), which was significantly higher than SCORE2 (0.756, 95%CI: 0.704-0.808) and ERS-RA (0.763, 95%CI: 0.711-0.814), but was comparable to the FRS model (0.790, 95%CI: 0.743-0.838). The calibration curves revealed significant deviations between predicted risk and actual risk for all the four models (goodness-of-fit test, all P<0.05), all the standardized incidence ratios (SIR) were less than 1, indicating that all models underestimated the 10-year CVD risk in the RA patients. Based on the low-risk thresholds of the four models, 30.1% (China-PAR, 43/143) to 44.8% (ERS-RA, 64/143) of Chinese RA patients who experienced CVD events were misclassified as low-risk. Conclusion: The China-PAR model may be currently more suitable for CVD risk assessment in Chinese RA patients with caution of underestimation.

目的: 对比分析4种不同心血管疾病(CVD)风险模型预测中国类风湿关节炎(RA)患者CVD风险的效能。 方法: 回顾性队列研究。纳入2001年1月至2024年7月中山大学孙逸仙纪念医院就诊的RA患者,收集临床资料,结局指标为CVD事件。采用受试者工作特征(ROC)曲线及校准曲线评估中国动脉粥样硬化性心血管疾病风险预测模型(China-PAR)、美国弗雷明汉研究预测模型(FRS)、欧洲系统性冠状动脉风险模型2(SCORE2)和RA特异的心血管扩展风险模型(ERS-RA)等4个模型预测中国RA患者10年CVD风险的性能。 结果: 共纳入1 334例RA患者,女性1 099例(82.4%),年龄(52.0±12.6)岁,随访时间[MQ1Q3)]6.16(2.81,9.07)年,共143例(10.7%)患者随访期间发生CVD,发病率为16.6/1 000人年。ROC曲线显示4个模型的区分度均较好,ROC曲线下面积(AUC)为0.756~0.806,其中China-PAR的AUC最高,为0.806(95%CI:0.760~0.852),高于SCORE2(0.756,95%CI:0.704~0.808)和ERS-RA(0.763,95%CI:0.711~0.814),而与FRS(0.790,95%CI:0.743~0.838)相当。校准曲线显示上述模型的预测风险和实际风险之间差异较大(拟合优度检验均P<0.05),且标准化发病率(SIR)均<1,表明上述模型均低估了RA患者的10年CVD风险。根据4种风险模型的低风险阈值,高达30.1%(43/143)(China-PAR)~44.8%(64/143)(ERS-RA)发生CVD事件的中国RA患者被错误归类为低风险人群。 结论: 目前China-PAR模型可能更适合于中国RA患者的10年CVD风险评估,但需注意其会低估风险。.

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