Department of Cardiology, Ogaki Municipal Hospital.
Department of Cardiology, Nagoya Heart Center.
J Atheroscler Thromb. 2023 Nov 1;30(11):1674-1686. doi: 10.5551/jat.64157. Epub 2023 Mar 22.
Patients with chronic limb-threatening ischemia (CLTI) have a high bleeding risk (HBR) and mortality rate. The 2-year life expectancy is an important factor in deciding the appropriate treatment strategy. This study aimed to assess the influence of HBR on the prognosis of patients with CLTI.
A total of 259 patients with CLTI who underwent endovascular therapy (EVT) (mean age, 76.2 years; male, 62.9%) between January 2018 and December 2019 were evaluated. The Academic Research Consortium for HBR (ARC-HBR) criteria were applied to each patient, and the ARC-HBR scores were calculated. The cut-off score for predicting all-cause mortality within two years was derived using a survival classification and regression tree (CART) model. Causes of death and the association between ARC-HBR scores and major bleeding events within two years were also investigated.
Based on the CART model, patients were divided into three groups (low HBR score 0-1.0, 48 patients; moderate HBR score 1.5-3.0, 176 patients; and high HBR score ≥ 3.5, 35 patients). During the study period, 82 patients (39.6%) died due to cardiac (n=23) and non-cardiac causes (n=59). All-cause mortality increased significantly with increasing ARC-HBR scores. Cox multivariate analysis revealed a significant association between high ARC-HBR scores and the risk of all-cause mortality within two years. Major bleeding events increased significantly with increasing ARC-HBR scores.
The ARC-HBR score could predict 2-year mortality in patients with CLTI who underwent EVT. Thus, this score can help determine the best revascularization strategy for patients with CLTI.
患有慢性肢体严重缺血(CLTI)的患者具有较高的出血风险(HBR)和死亡率。2 年的预期寿命是决定适当治疗策略的重要因素。本研究旨在评估 HBR 对 CLTI 患者预后的影响。
共评估了 2018 年 1 月至 2019 年 12 月期间接受血管内治疗(EVT)的 259 例 CLTI 患者(平均年龄 76.2 岁;男性 62.9%)。每位患者均采用学术研究联盟的 HBR(ARC-HBR)标准进行评估,并计算 ARC-HBR 评分。使用生存分类和回归树(CART)模型得出预测两年内全因死亡率的截断分数。还调查了死亡原因以及 ARC-HBR 评分与两年内主要出血事件之间的关系。
根据 CART 模型,患者被分为三组(低 HBR 评分 0-1.0,48 例;中 HBR 评分 1.5-3.0,176 例;高 HBR 评分≥3.5,35 例)。研究期间,有 82 例(39.6%)患者因心脏(n=23)和非心脏原因(n=59)死亡。随着 ARC-HBR 评分的增加,全因死亡率显著增加。Cox 多变量分析显示,高 ARC-HBR 评分与两年内全因死亡率的风险显著相关。随着 ARC-HBR 评分的增加,主要出血事件显著增加。
ARC-HBR 评分可预测接受 EVT 的 CLTI 患者的 2 年死亡率。因此,该评分可帮助确定 CLTI 患者的最佳血运重建策略。