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新诊断心力衰竭患者的冠状动脉风险分层。

Coronary risk stratification of patients with newly diagnosed heart failure.

机构信息

Department of Cardiology, Herlev og Gentofte Hospital, Herlev, Denmark.

Department of Cardiology, Copenhagen University Hospital, Copenhagen, Denmark.

出版信息

Open Heart. 2019 Oct 3;6(2):e001074. doi: 10.1136/openhrt-2019-001074. eCollection 2019.

Abstract

OBJECTIVE

Coronary artery disease (CAD) is frequent in patients with newly diagnosed heart failure (HF). Multislice CT (MSCT) is a non-invasive alternative to coronary angiography (CAG) suggested for patients with a low-to-intermediate risk of CAD. No established definition of such patients exists. Our purpose was to develop a simple score to identify as large a group as possible with a suitable pretest risk of CAD.

METHODS

Retrospective study of patients in Denmark undergoing CAG due to newly diagnosed HF from 2010 to 2014. All Danish patients were registered in two databases according to geographical location. We used data from one registry and multiple logistic regression with backwards elimination to find predictors of CAD and used the derived OR to develop a clinical risk score called the CT-HF score, which was subsequently validated in the other database.

RESULTS

The main cohort consisted of 2171 patients and the validation cohort consisted of 2795 patients with 24% and 27% of patients having significant CAD, respectively. Among significant predictor, the strongest was extracardiac arteriopathy (OR 2.84). Other significant factors were male sex, smoking, hyperlipidaemia, diabetes mellitus, angina and age. A proposed cut-off of 9 points identified 61% of patients with a 15% risk of having CAD, resulting in an estimated savings of 15% of the cost and 21% of the radiation.

CONCLUSIONS

A simple score based on clinical risk factors could identify HF patients with a low risk of CAD; these patients may have benefitted from MSCT as a gatekeeper for CAG.

摘要

目的

冠心病(CAD)在新诊断心力衰竭(HF)患者中较为常见。多层螺旋 CT(MSCT)是一种非侵入性的冠状动脉造影(CAG)替代方法,适用于 CAD 低至中度风险的患者。目前尚无此类患者的明确定义。我们的目的是开发一种简单的评分方法,以便尽可能多的识别出具有适当 CAD 术前风险的患者。

方法

回顾性研究 2010 年至 2014 年期间因新诊断 HF 而接受 CAG 的丹麦患者。所有丹麦患者均根据地理位置在两个数据库中进行登记。我们使用一个数据库中的数据和向后消除的多变量逻辑回归来寻找 CAD 的预测因素,并使用得出的比值比(OR)来开发一种名为 CT-HF 评分的临床风险评分,随后在另一个数据库中进行验证。

结果

主要队列包括 2171 例患者,验证队列包括 2795 例患者,分别有 24%和 27%的患者存在显著 CAD。在显著预测因素中,最重要的是心脏外动脉疾病(OR 2.84)。其他重要因素包括男性、吸烟、高脂血症、糖尿病、心绞痛和年龄。提出的 9 分截断值可识别出 61%具有 15% CAD 风险的患者,这将估计节省 15%的成本和 21%的辐射。

结论

基于临床危险因素的简单评分可以识别出 CAD 风险较低的 HF 患者;这些患者可能受益于 MSCT 作为 CAG 的筛查手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bae6/6802977/13dcf7fa87e3/openhrt-2019-001074f01.jpg

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