Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden; Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
J Am Coll Cardiol. 2022 Nov 1;80(18):1735-1747. doi: 10.1016/j.jacc.2022.08.767.
In patients with acute coronary syndrome (ACS), there is residual and variable risk of recurrent ischemic events.
This study aimed to develop biomarker-based prediction models for 1-year risk of cardiovascular (CV) death and myocardial infarction (MI) in patients with ACS undergoing percutaneous coronary intervention.
We included 10,713 patients from the PLATO (A Comparison of Ticagrelor [AZD6140] and Clopidogrel in Patients With Acute Coronary Syndrome) trial in the development cohort and externally validated in 3,508 patients from the TRACER (Thrombin Receptor Antagonist for Clinical Event Reduction in Acute Coronary Syndrome) trial. Variables contributing to risk of CV death/MI were assessed using Cox regression models, and a score was derived using subsets of variables approximating the full model.
There were 632 and 190 episodes of CV death/MI in the development and validation cohorts. The most important predictors of CV death/MI were the biomarkers, growth differentiation factor 15, and N-terminal pro-B-type natriuretic peptide, which had greater prognostic value than all candidate variables. The final model included 8 items: age (A), biomarkers (B) (growth differentiation factor 15 and N-terminal pro-B-type natriuretic peptide), and clinical variables (C) (extent of coronary artery disease, previous vascular disease, Killip class, ACS type, P2Y inhibitor). The model, named ABC-ACS ischemia, was well calibrated and showed good discriminatory ability for 1-year risk of CV death/MI with C-indices of 0.71 and 0.72 in the development and validation cohorts, respectively. For CV death, the score performed better, with C-indices of 0.80 and 0.84 in the development and validation cohorts, respectively.
An 8-item score for the prediction of CV death/MI was developed and validated for patients with ACS undergoing percutaneous coronary intervention. The ABC-ACS ischemia score showed good calibration and discrimination and might be useful for risk prediction and decision support in patients with ACS. (A Comparison of Ticagrelor [AZD6140] and Clopidogrel in Patients With Acute Coronary Syndrome [PLATO]; NCT00391872; Trial to Assess the Effects of Vorapaxar [SCH 530348; MK-5348] in Preventing Heart Attack and Stroke in Participants With Acute Coronary Syndrome [TRACER]; NCT00527943).
在急性冠状动脉综合征(ACS)患者中,存在复发缺血事件的残余和可变风险。
本研究旨在为接受经皮冠状动脉介入治疗的 ACS 患者建立基于生物标志物的 1 年心血管(CV)死亡和心肌梗死(MI)风险预测模型。
我们在开发队列中纳入了来自 PLATO(替格瑞洛[AZD6140]与氯吡格雷在急性冠状动脉综合征患者中的比较)试验的 10713 例患者,并在来自 TRACER(凝血酶受体拮抗剂用于急性冠状动脉综合征的临床事件减少)试验的 3508 例患者中进行了外部验证。使用 Cox 回归模型评估 CV 死亡/ MI 风险的相关变量,并使用接近全模型的变量子集得出分数。
在开发和验证队列中,CV 死亡/ MI 分别有 632 例和 190 例。CV 死亡/ MI 的最重要预测因子是生物标志物生长分化因子 15 和 N 末端 pro-B 型利钠肽,它们比所有候选变量具有更大的预后价值。最终模型包括 8 项:年龄(A)、生物标志物(B)(生长分化因子 15 和 N 末端 pro-B 型利钠肽)和临床变量(C)(冠状动脉疾病程度、既往血管疾病、Killip 分级、ACS 类型、P2Y 抑制剂)。该模型命名为 ABC-ACS 缺血,在开发和验证队列中,1 年 CV 死亡/ MI 的风险校准良好,区分能力良好,C 指数分别为 0.71 和 0.72。对于 CV 死亡,评分表现更好,在开发和验证队列中,C 指数分别为 0.80 和 0.84。
为接受经皮冠状动脉介入治疗的 ACS 患者开发并验证了一种用于预测 CV 死亡/ MI 的 8 项评分。ABC-ACS 缺血评分显示出良好的校准和区分能力,可能对 ACS 患者的风险预测和决策支持有用。(替格瑞洛[AZD6140]与氯吡格雷在急性冠状动脉综合征患者中的比较[PLATO];NCT00391872;评估 Vorapaxar[SCH 530348;MK-5348]预防急性冠状动脉综合征患者心脏病发作和中风的效果试验[TRACER];NCT00527943)。