Ishiguchi Hironori, Abdul-Rahim Azmil H, Huang Bi, Lam Steven Ho Man, Liu Yang, Olshansky Brian, Chao Tze-Fan, Huisman Menno V, Lip Gregory Y H
Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
Division of Cardiology, Department of Medicine and Clinical Science, Yamaguchi University Graduate School of Medicine, Ube, Japan.
J Gen Intern Med. 2025 May;40(6):1227-1237. doi: 10.1007/s11606-024-09045-6. Epub 2024 Sep 25.
Assessment of residual thromboembolic risk in patients with atrial fibrillation (AF) prescribed oral anticoagulants (OACs) remains unexplored. We performed hierarchical cluster analysis to identify phenotypic profiles of these patients and their risks of residual thromboembolic events.
We utilised data from non-valvular AF patients on OACs, as documented in phases II and III of the GLORIA-AF (Global Registry on Long-Term Oral Anti-thrombotic Treatment in Patients With Atrial Fibrillation) registry. We performed a hierarchical cluster analysis to identify distinct phenotypic profiles. We compared the incidence and risks of thromboembolic events (composite of ischaemic stroke, transient ischaemic attack, or systemic embolism) and related outcomes (major bleeding and all-cause death) across the profiles. We determined the optimal number of profiles through visual inspection of the generated dendrograms.
We included 22,410 patients (mean age 70 ± 8 years; 56% male), from which five phenotypes were identified: profile 1 ("uncontrolled hypertension"), profile 2 ("young with a history of coronary artery disease"), profile 3 ("young and obese"), profile 4 ("frailty"), and profile 5 ("non-paroxysmal AF with tachycardia"). Profile 4 was associated with the highest rates of thromboembolic events (1.66/100 person-years [95% confidence interval, 1.46-1.89]), major bleeding (1.92/100 person-years [1.70-2.16]), and death (6.02/100 person-years [5.62-6.43]). Profile 3 was associated with the lowest risk across all measured outcomes (thromboembolic events, 0.64 events/100 person-years [0.48-0.82]; major bleeding, 0.83 events/100 person-years [0.65-1.04]; and death, 1.44 events/100 person-years [1.21-1.71]). Profile 1 had a moderate thromboembolic event rate (1.04/100 person-years [0.91-1.08]), while profiles 2 and 5 showed lower rates.
The phenotypic profiles of patients with AF prescribed OACs identified using hierarchical cluster analysis are associated with distinct residual thromboembolic risks and related outcomes. This approach has the potential to enhance patient risk-stratification and holistic approaches to management.
对于接受口服抗凝剂(OACs)治疗的心房颤动(AF)患者,其残余血栓栓塞风险的评估仍未得到充分探索。我们进行了层次聚类分析,以确定这些患者的表型特征及其残余血栓栓塞事件的风险。
我们利用了全球心房颤动患者长期口服抗栓治疗注册研究(GLORIA-AF)第二阶段和第三阶段记录的接受OACs治疗的非瓣膜性AF患者的数据。我们进行了层次聚类分析,以识别不同的表型特征。我们比较了各特征组中血栓栓塞事件(缺血性卒中、短暂性脑缺血发作或全身性栓塞的复合事件)以及相关结局(大出血和全因死亡)的发生率和风险。我们通过直观检查生成的树状图来确定最佳的特征组数。
我们纳入了22410例患者(平均年龄70±8岁;56%为男性),从中识别出五种表型:特征组1(“未控制的高血压”)、特征组2(“有冠状动脉疾病史的年轻人”)、特征组3(“年轻且肥胖”)、特征组4(“虚弱”)和特征组5(“非阵发性AF伴心动过速”)。特征组4的血栓栓塞事件发生率最高(1.66/100人年[95%置信区间,1.46 - 1.89])、大出血发生率最高(1.92/100人年[1.70 - 2.16])以及死亡率最高(6.02/100人年[5.62 - 6.43])。特征组3在所有测量结局方面的风险最低(血栓栓塞事件,0.64事件/100人年[0.48 - 0.82];大出血,0.83事件/100人年[0.65 - 1.04];死亡,1.44事件/100人年[1.21 - 1.71])。特征组1的血栓栓塞事件发生率中等(1.04/100人年[0.91 - 1.08]),而特征组2和5的发生率较低。
使用层次聚类分析确定的接受OACs治疗的AF患者的表型特征与不同的残余血栓栓塞风险及相关结局相关。这种方法有可能加强患者的风险分层以及整体管理方法。