Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Department of Rheumatology, Hainan General Hospital, Haikou, Hainan, China.
RMD Open. 2024 Sep 23;10(3):e004425. doi: 10.1136/rmdopen-2024-004425.
Patients with systemic lupus erythematosus (SLE) have an increased risk of cardiovascular and cerebrovascular events (CCEs). Furthermore, CCE was a significant factor contributing to mortality in patients with SLE. However, no clinical model exists that can predict which patients are at high risk. The purpose of this study was to develop a practical model for predicting the risk of CCE in people with SLE.
This study was based on the Chinese SLE Treatment and Research Group cohort. A total of 2399 patients, who had a follow-up period of over 3 years and were diagnosed with SLE for less than 1 year at the start of the study, were included. Cox proportional hazards regression and least absolute shrinkage and selection operator regression were used to establish the model. Internal validation was performed, and the predictive power of the model was evaluated.
During the follow-up period, 93 patients had CCEs. The prediction model included nine variables: male gender, smoking, hypertension, age of SLE onset >40, cutaneous involvement, arthritis, anti-β2GP1 antibody positivity, high-dose glucocorticoids and hydroxychloroquine usage. The model's C index was 0.801. Patients with a prognostic index over 0.544 were classified into the high-risk group.
We have developed a predictive model that uses clinical indicators to assess the probability of CCE in patients diagnosed with SLE. This model has the ability to precisely predict the risk of CCE in patients with SLE. We recommended using this model in the routine assessment of patients with SLE.
系统性红斑狼疮(SLE)患者发生心血管和脑血管事件(CCE)的风险增加。此外,CCE 是导致 SLE 患者死亡的重要因素。然而,目前尚无临床模型可以预测哪些患者风险较高。本研究旨在建立一种实用的预测 SLE 患者 CCE 风险的模型。
本研究基于中国 SLE 治疗和研究组队列。共纳入 2399 例患者,随访时间超过 3 年,且在研究开始时确诊 SLE 时间不足 1 年。采用 Cox 比例风险回归和最小绝对收缩和选择算子回归建立模型。进行内部验证,并评估模型的预测能力。
在随访期间,93 例患者发生 CCE。预测模型包括 9 个变量:男性、吸烟、高血压、SLE 发病年龄>40 岁、皮肤受累、关节炎、抗β2GP1 抗体阳性、大剂量糖皮质激素和羟氯喹使用。模型的 C 指数为 0.801。将预后指数>0.544 的患者分为高危组。
我们开发了一种使用临床指标评估确诊 SLE 患者 CCE 概率的预测模型。该模型能够准确预测 SLE 患者发生 CCE 的风险。我们建议在 SLE 患者的常规评估中使用该模型。