Wu Lin, Zhao Changlin, Chen Jingjing, Xu Li, Yu Xianguan, Guo Xinghua, Lin Zhiming, Xie Xiaoying, Zhou Bin, Liu Yong
Department of Cardiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, China.
Big Data and Artifcial Intelligence Center, The Third Afliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
J Clin Med. 2025 Mar 7;14(6):1799. doi: 10.3390/jcm14061799.
The association between the activity of SLE and abnormalities of ECG remains not well elucidated. We aimed to examine the relationship between the SLE Disease Activity Index 2000 (SLEDAI-2K) and abnormalities of ECG in a Chinese population. Data for this cross-sectional study were retrieved from an SLE database (2018-2023). According to the SLEDAI-2K, patients were categorized into inactive, mild activity, moderate activity, and severe activity groups. Weighted multivariable regression analyses and subgroup analyses were conducted to assess the independent relationship between the SLEDAI-2K and ECG abnormalities. Restricted cubic splines (RCSs) were employed to explore potential non-linear correlations. A total of 317 SLE patients (282 women; mean age 30.0 [23.0; 43.0]) were included. The overall prevalence of ST segment changes and T wave abnormalities was 37.5%. Our findings indicated a linear relationship between the SLEDAI-2K and the risk of ST-T changes. We used interaction terms to assess heterogeneity among subgroups and discovered significant differences specifically related to female gender, age (≤25 years), combined autoimmune diseases, and infectious complications. This suggested that the positive association between the SLEDAI-2K and ST-T changes was influenced by participants' gender, age, presence of combined autoimmune diseases, and infectious complications. Higher SLEDAI-2K scores were associated with an increased incidence of ST-T changes in SLE patients. The SLEDAI-2K is anticipated to emerge as an effective index for identifying early heart involvement in this population.
系统性红斑狼疮（SLE）活动与心电图异常之间的关联尚未得到充分阐明。我们旨在研究中国人群中SLE疾病活动指数2000（SLEDAI - 2K）与心电图异常之间的关系。本横断面研究的数据取自一个SLE数据库（2018 - 2023年）。根据SLEDAI - 2K，患者被分为非活动、轻度活动、中度活动和重度活动组。进行加权多变量回归分析和亚组分析，以评估SLEDAI - 2K与心电图异常之间的独立关系。采用受限立方样条（RCS）来探索潜在的非线性相关性。共纳入317例SLE患者（28例女性；平均年龄30.0[23.0；43.0]）。ST段改变和T波异常的总体患病率为37.5%。我们的研究结果表明SLEDAI - 2K与ST - T改变风险之间存在线性关系。我们使用交互项来评估亚组间的异质性，发现与女性性别、年龄（≤25岁）、合并自身免疫性疾病和感染并发症存在显著差异。这表明SLEDAI - 2K与ST - T改变之间的正相关受到参与者的性别、年龄、合并自身免疫性疾病的存在以及感染并发症的影响。较高的SLEDAI - 2K评分与SLE患者ST - T改变的发生率增加相关。预计SLEDAI - 2K将成为识别该人群早期心脏受累的有效指标。
