Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling.
Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling.
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DOI：
10.1155/2018/2806148
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发表时间：
2018
影响因子：
--
通讯作者：
Priori SG
中科院分区：
文献类型：
--
作者：
Catalano O;Moro G;Mori A;Perotti M;Gualco A;Frascaroli M;Pesarin C;Napolitano C;Ntusi NAB;Priori SG
心血管磁共振（CMR）可以全面评价稳定型冠状动脉疾病（CAD）。我们试图评估在接受最佳药物治疗的大量同期人群中，CMR是否能独立预测传统心血管危险因素（RF）以外的预后。 我们进行了一项单中心、观察性前瞻性研究，入组了465例CAD患者（80%为男性; 63±11岁），最佳治疗方案为ACE抑制剂/ARB、阿司匹林和他汀类药物（76-85%）。评估包括常规评价（临床病史、动脉粥样硬化RF、心电图和超声心动图）和综合CMR（包括LV尺寸/功能、晚期钆增强（LGE）和负荷灌注CMR（SPCMR））。 在中位随访62个月（IQR 23-74）期间，有50例死亡和92例主要不良心血管事件（MACE）。CMR变量改善了多变量模型对死亡率和MACE的预测能力，优于传统的单独RF（分别为P<0.05和P<0.001）。LGE是死亡率的独立预后因素（风险比[95% CI]：3.4 [1.3−8.8]）;此外，LGE（3.3 [1.7−6.3]）和SPCMR（2.1 [1.4−3.2]）是MACE的最佳预测因子。 LGE是稳定性CAD患者和优化药物治疗患者长期死亡率的独立非侵入性标志物。此外，LGE和SPCMR独立预测MACE超出常规风险分层。
Cardiovascular magnetic resonance (CMR) permits a comprehensive evaluation of stable coronary artery disease (CAD). We sought to assess whether, in a large contemporaneous population receiving optimal medical therapy, CMR independently predicts prognosis beyond conventional cardiovascular risk factors (RF). We performed a single centre, observational prospective study that enrolled 465 CAD patients (80% males; 63±11 years), optimally treated with ACE-inhibitors/ARB, aspirin, and statins (76-85%). Assessments included conventional evaluation (clinical history, atherosclerosis RF, electrocardiography, and echocardiography) and a comprehensive CMR with LV dimensions/function, late gadolinium enhancement (LGE), and stress perfusion CMR (SPCMR). During a median follow-up of 62 months (IQR 23-74) there were 50 deaths and 92 major adverse cardiovascular events (MACE). CMR variables improved multivariate model prediction power of mortality and MACE over traditional RF alone (F-test p<0.05 and p<0.001, respectively). LGE was an independent prognostic factor of mortality (hazard ratio [95% CI]: 3.4 [1.3−8.8]); moreover, LGE (3.3 [1.7−6.3]) and SPCMR (2.1 [1.4−3.2]) were the best predictors of MACE. LGE is an independent noninvasive marker of mortality in the long term in patients with stable CAD and optimized medical therapy. Furthermore, LGE and SPCMR independently predict MACE beyond conventional risk stratification.
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影响因子：
2.8
作者：
Roes, Stijntje D.;Kelle, Sebastian;Bax, Jeroen J.
通讯作者：
Bax, Jeroen J.
DOI：
10.1016/s0735-1097(03)00951-3
发表时间：
2003-10-01
影响因子：
24
作者：
Henderson, RA;Pocock, SJ;Chamberlain, DA
通讯作者：
Chamberlain, DA
影响因子：
37.8
作者：
Hueb, Whady;Lopes, Neuza;Ramires, Jose A. F.
通讯作者：
Ramires, Jose A. F.
影响因子：
24
作者：
Kelle, Sebastian;Roes, Stijntje D.;Nagel, Eike
通讯作者：
Nagel, Eike
影响因子：
4.8
作者：
Sozzi, Fabiola B.;Iacuzio, Laura;Dor, Vincent
通讯作者：
Dor, Vincent