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TCT-252 Medical Management Compared to Per Cutaneous Intervention (PCI) in Treatment of Stable Angina: A Systematic Review and Meta-Analysis TCT-252 医疗管理与经皮介入(PCI)治疗稳定型心绞痛的比较:系统回顾和元分析
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.09.293
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引用次数: 0
TCT-208 Meta-Heart Team: Enhancing Multidisciplinary Heart Teams Through Virtual Reality in the Metaverse TCT-208 元心脏团队:通过元宇宙中的虚拟现实技术增强多学科心脏团队的能力
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.09.244
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引用次数: 0
TCT-248 Shift in PCI Strategy in the Post–ISCHEMIA and REVIVED Trials Era: Single-Center Experience TCT-248 后ISCHEMIA和REVIVED试验时代PCI策略的转变:单中心经验
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.09.289
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引用次数: 0
The Long Pathway to Improving Clinical Decisions With Better Risk Markers 用更好的风险标记物改进临床决策的漫长之路:心肌梗死后的复发性血栓形成
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.08.050
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引用次数: 0
AI-Facilitated Assessment of Built Environment Using Neighborhood Satellite Imagery and Cardiovascular Risk 利用邻里卫星图像和心血管风险进行人工智能辅助建筑环境评估
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.08.053

Background

Built environment affects cardiovascular health, but comprehensive assessment in a scalable fashion, for population health and resource allocation, is constrained by limitations of current microscale measures.

Objectives

The purpose of this study was to investigate the association between satellite image-based environment and risk of major adverse cardiovascular events (MACE).

Methods

Using a pretrained deep neural network, features depicting the built environment from Google Satellite Imagery (GSI) around 64,230 patients in Northern Ohio undergoing coronary artery calcium (CAC) scoring were extracted. Elastic net regularized Cox proportional hazards models identified associations of GSI features with MACE risk (defined as myocardial infarction, stroke, heart failure, or death). A composite GSI risk score was constructed using features that demonstrated nonzero coefficients in the elastic net model. We assessed association of this score with MACE risk, after adjusting for CAC scores and the social vulnerability index (SVI). Its interactions with CAC scores were also examined in subgroups.

Results

Adjusting for CAC and traditional risk factors, the GSI risk score was significantly associated with higher MACE risk (HR: 2.67; 95% CI: 1.63-4.38; P < 0.001). However, adding SVI reduced this association to nonsignificance (HR: 1.54; 95% CI: 0.91-2.60; P = 0.11). Patients in the highest quartile (Q4) of GSI risk score had a 56% higher observed risk of MACE (HR: 1.56; 95% CI: 1.32-1.86; P < 0.005) compared with the lowest quartile (Q1). The GSI risk score had the strongest association with MACE risk in patients with CAC = 0. This association was attenuated, but remained significant, with higher CAC.

Conclusions

AI-enhanced satellite images of the built environment were linked to MACE risk, independently of traditional risk factors and CAC, but this was influenced by social determinants of health, represented by SVI. Satellite image-based assessment of the built environment may provide a rapid scalable integrative approach, warranting further exploration for enhanced risk prediction.
背景建筑环境会影响心血管健康,但由于目前微观测量方法的局限性,无法以可扩展的方式对人口健康和资源分配进行全面评估。方法利用预训练的深度神经网络,从谷歌卫星图像(GSI)中提取出俄亥俄州北部 64230 名接受冠状动脉钙化(CAC)评分的患者周围的建筑环境特征。弹性网正则化 Cox 比例危险模型确定了 GSI 特征与 MACE 风险(定义为心肌梗死、中风、心力衰竭或死亡)之间的关联。我们利用弹性网模型中系数不为零的特征构建了综合 GSI 风险评分。在对 CAC 评分和社会脆弱性指数 (SVI) 进行调整后,我们评估了该评分与 MACE 风险的相关性。结果调整 CAC 和传统风险因素后,GSI 风险评分与较高的 MACE 风险显著相关(HR:2.67;95% CI:1.63-4.38;P <;0.001)。然而,加入 SVI 后,这种相关性降至非显著性(HR:1.54;95% CI:0.91-2.60;P = 0.11)。与最低四分位数(Q1)相比,GSI 风险评分最高四分位数(Q4)的患者发生 MACE 的风险高出 56%(HR:1.56;95% CI:1.32-1.86;P = 0.005)。结论AI增强的建筑环境卫星图像与MACE风险有关,与传统风险因素和CAC无关,但受到以SVI为代表的健康社会决定因素的影响。基于卫星图像的建筑环境评估可提供一种快速、可扩展的综合方法,值得进一步探索,以加强风险预测。
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引用次数: 0
Platelet FcγRIIa as a Marker of Cardiovascular Risk After Myocardial Infarction 作为心肌梗死后心血管风险标志物的血小板 FcγRIIa
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.08.051

Background

A previous single-center study of patients with myocardial infarction (MI) showed that platelet FcγRIIa (pFCG) can distinguish patients at higher and lower risk of subsequent MI, stroke, and death.

Objectives

The authors performed an 800-patient 25-center study to validate the prognostic implications of pFCG.

Methods

Patients with type 1 MI (ST-segment elevation and non–ST-segment elevation) were enrolled in a prospective noninterventional trial during their index hospitalization. Enrolled patients had at least 2 of the following characteristics: age ≥65 years, multivessel coronary artery disease, previous MI, chronic kidney disease, or diabetes mellitus. Flow cytometry was used to quantify pFCG at a core laboratory. A predefined threshold was used to identify high and low pFCG. Patients were queried every 6 months by telephone with a standardized questionnaire. Events were confirmed by review of medical records.

Results

Treatment with antithrombotic therapy (aspirin, P2Y12 inhibitors, and anticoagulants) was similar in patients with high and low pFCG. The primary composite endpoint (MI, stroke, death) occurred more frequently in patients with high pFCG (HR: 2.09; 95% CI: 1.34-3.26; P = 0.001). Among individual components of the composite, both death (HR: 2.57; 95% CI: 1.50-4.40; P = 0.001) and MI (HR: 3.24; 95% CI: 1.64-6.37; P = 0.001) were more frequent in patients with high pFCG.

Conclusions

Quantifying pFCG identifies patients at higher and lower risk of subsequent cardiovascular events. This prognostic information will be useful in clinical decisions regarding the intensity and duration of antiplatelet therapy. (Assessment of Individual Risk of Cardiovascular Events by Platelet FcγRIIa; NCT05175261)
背景先前一项针对心肌梗死(MI)患者的单中心研究显示,血小板 FcγRIIa (pFCG) 可以区分后续心肌梗死、中风和死亡风险较高和较低的患者。方法一项前瞻性非介入试验在 1 型心肌梗死(ST 段抬高和非 ST 段抬高)患者住院期间招募了他们。入选患者至少具有以下两个特征:年龄≥65 岁、多支血管冠状动脉疾病、既往有心肌梗死、慢性肾脏疾病或糖尿病。核心实验室采用流式细胞术量化 pFCG。使用预定义的阈值来识别高pFCG和低pFCG。每 6 个月通过电话对患者进行一次标准化问卷调查。结果高pFCG和低pFCG患者的抗血栓治疗(阿司匹林、P2Y12抑制剂和抗凝剂)效果相似。高 pFCG 患者的主要复合终点(心肌梗死、中风、死亡)发生率更高(HR:2.09;95% CI:1.34-3.26;P = 0.001)。结论通过量化 pFCG 可以识别后续心血管事件风险较高和较低的患者。这一预后信息将有助于临床决定抗血小板治疗的强度和持续时间。(血小板 FcγRIIa 对心血管事件个体风险的评估;NCT05175261)
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引用次数: 0
Using Artificial Intelligence to Derive Environmental Drivers of Cardiovascular Risk 利用人工智能推导心血管风险的环境驱动因素:够智能吗?
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.09.014
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引用次数: 0
TCT-196 Real-World, Prospective, Multicenter, Randomized Study to Assess Possible Benefits of Engaging Patients Post Percutaneous Coronary Intervention (PCI) Through WhatsApp-Based Interactive Platform and Remote Nursing (E-Monitor) TCT-196 通过基于 WhatsApp 的互动平台和远程护理(E-Monitor),评估经皮冠状动脉介入术 (PCI) 术后患者参与可能带来的益处的真实世界、前瞻性、多中心、随机研究
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.09.232
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引用次数: 0
TCT-236 Bailout Use of Cangrelor During Percutaneous Coronary Intervention and Associated Inpatient Outcomes TCT-236 经皮冠状动脉介入治疗期间Cangrelor的保外使用及相关住院结果
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.09.277
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引用次数: 0
TCT-1022 Ticagrelor Monotherapy After Coronary Stenting in Patients With Acute Myocardial Infarction (TIMO-AMI Study) TCT-1022 急性心肌梗死患者冠状动脉支架置入术后的替卡格雷单药治疗(TIMO-AMI 研究)
IF 21.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jacc.2024.09.1237
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引用次数: 0
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Journal of the American College of Cardiology
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