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根据临床、运动和门控 SPECT 变量(VH-RS)构建的心肌梗死、冠状动脉血运重建和心脏死亡的新型临床风险预测模型。

A novel clinical risk prediction model for myocardial infarction, coronary revascularization, and cardiac death according to clinical, exercise, and gated SPECT variables (VH-RS).

机构信息

Cardiology Department, Hospital Universitari Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Paseo Vall d'Hebron 119-129, Barcelona 08035, Spain.

Department of Nuclear Medicine, Hospital Universitari Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Paseo Vall d'Hebron 119-129, Barcelona 08035, Spain.

出版信息

Eur Heart J Cardiovasc Imaging. 2020 Feb 1;21(2):210-221. doi: 10.1093/ehjci/jez078.

Abstract

AIMS

To create a risk score for cardiac events (CE) according to clinical, exercise, and gated SPECT variables.

METHODS AND RESULTS

We analysed 5707 consecutive patients; 3181 patients (age 64.2 ± 11 years, male 59.6%) with suspected coronary artery disease (CAD) [without previous myocardial infarction (MI) or coronary revascularization (CR)] and 2526 patients (age 63.3 ± 11 years, male 81.7%) with established CAD (with previous MI or CR). To create the Vall d'Hebron Risk Score (VH-RS), first we analyse the predictors of CE (non-fatal MI, CR, and/or cardiac death), then the probability of CE for every patient according to the predictive variables. According to risk we stratified patients into four risk levels: very low risk (VLR), low risk (LR), moderate risk (MR), and high risk (HRi) using Multiple Cox Regression analysis models. Finally, we validate the VH-RS in another prospective cohort of 734 patients. In patients with suspected CAD; age (P < 0.001); gender (P = 0.001); hyperlipidaemia (P < 0.001); nitrates (P = 0.04); ejection fraction (EF) (P = 0.001); summed stress score (P < 0.001); METs (P < 0.001); exercise angina (P = 0.006); and mm of ST segment depression (P = 0.004) were the independent predictors of CE (C-statistic: 0.8; P < 0.001). In patients with established CAD, EF (P < 0.001); summed difference score (P = 0.001); age (P < 0.001); smoker (P = 0.002); nitrates (P = 0.003); exercise angina (P = 0.001); METs (P < 0.001); and mm of ST segment depression (P = 0.011) were the independent predictors of CE (C-statistic: 0.7; P < 0.001). The risk score obtained from these variables allows the stratification of patients into four risk levels: VLR, LR, MR, and HRi.

CONCLUSIONS

The cardiac risk stratification by mean of clinical, exercise, and gated SPECT variables is an objective aid to assessing an individual's cardiac risk.

摘要

目的

根据临床、运动和门控 SPECT 变量创建心脏事件 (CE) 的风险评分。

方法和结果

我们分析了 5707 例连续患者;3181 例(年龄 64.2±11 岁,男性 59.6%)疑似冠心病 (CAD) [无先前心肌梗死 (MI) 或冠状动脉血运重建 (CR)] 和 2526 例(年龄 63.3±11 岁,男性 81.7%)有明确 CAD(先前有 MI 或 CR)。为了创建 Vall d'Hebron 风险评分 (VH-RS),我们首先分析了 CE(非致命性 MI、CR 和/或心脏死亡)的预测因素,然后根据预测变量计算每位患者的 CE 概率。根据风险,我们使用多 Cox 回归分析模型将患者分为四个风险水平:极低风险 (VLR)、低风险 (LR)、中风险 (MR) 和高风险 (HRi)。最后,我们在另一前瞻性队列 734 例患者中验证了 VH-RS。在疑似 CAD 的患者中;年龄(P<0.001);性别(P=0.001);高脂血症(P<0.001);硝酸盐(P=0.04);射血分数(EF)(P=0.001);总和应激评分(P<0.001);METs(P<0.001);运动性心绞痛(P=0.006);和 ST 段压低毫米数(P=0.004)是 CE 的独立预测因素(C 统计量:0.8;P<0.001)。在明确 CAD 的患者中,EF(P<0.001);总和差值评分(P=0.001);年龄(P<0.001);吸烟者(P=0.002);硝酸盐(P=0.003);运动性心绞痛(P=0.001);METs(P<0.001);和 ST 段压低毫米数(P=0.011)是 CE 的独立预测因素(C 统计量:0.7;P<0.001)。从这些变量获得的风险评分可将患者分层为四个风险水平:VLR、LR、MR 和 HRi。

结论

通过临床、运动和门控 SPECT 变量进行心脏风险分层是评估个体心脏风险的客观辅助手段。

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