Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Rheumatology (Oxford). 2021 Mar 2;60(3):1331-1337. doi: 10.1093/rheumatology/keaa542.
Using cluster analysis, to identify the subgroup of patients with APS with the poorest prognosis and clarify the characteristics of that subgroup.
This is a longitudinal retrospective cohort study of APS patients. Using clinical data and the profile of aPL, cluster analysis was performed to classify the patients into subgroups. Events were defined as thrombosis, severe bleeding, and mortality.
A total of 168 patients with APS were included. Cluster analysis classified the patients into three subgroups; Cluster A (n = 61): secondary APS, Cluster B (n = 56): accumulation of cardiovascular risks and arterial thrombosis, Cluster C (n = 61): triple positivity of aPL and venous thrombosis. Cluster B showed significantly higher frequency of the events and higher mortality compared with the other clusters (P = 0.0112 for B vs A and P = 0.0471 for B vs C).
Using cluster analysis, we clarified the characteristics of the APS patients with the poorest prognosis. Risk factors for cardiovascular disease may further increase events in patients with APS.
通过聚类分析，确定 APS 患者预后最差的亚组，并阐明该亚组的特征。
这是一项对 APS 患者进行的纵向回顾性队列研究。使用临床数据和 aPL 谱，对患者进行聚类分析，将其分为亚组。事件定义为血栓形成、严重出血和死亡。
共纳入 168 例 APS 患者。聚类分析将患者分为三个亚组；亚组 A（n=61）：继发性 APS；亚组 B（n=56）：心血管风险积聚和动脉血栓形成；亚组 C（n=61）：aPL 三重阳性和静脉血栓形成。与其他亚组相比，亚组 B 的事件发生率和死亡率显著更高（B 与 A 相比，P=0.0112；B 与 C 相比，P=0.0471）。
通过聚类分析，我们阐明了预后最差的 APS 患者的特征。心血管疾病的危险因素可能会进一步增加 APS 患者的事件发生率。
