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临床前阻塞性冠状动脉疾病的预测概率:来自欧洲 DISCHARGE 试点研究的新见解。

Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study.

机构信息

Charité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany.

Department of Cardiology, Aintree University Hospital, Liverpool, UK.

出版信息

Eur Radiol. 2021 Mar;31(3):1471-1481. doi: 10.1007/s00330-020-07175-z. Epub 2020 Sep 9.

Abstract

OBJECTIVES

To test the accuracy of clinical pre-test probability (PTP) for prediction of obstructive coronary artery disease (CAD) in a pan-European setting.

METHODS

Patients with suspected CAD and stable chest pain who were clinically referred for invasive coronary angiography (ICA) or computed tomography (CT) were included by clinical sites participating in the pilot study of the European multi-centre DISCHARGE trial. PTP of CAD was determined using the Diamond-Forrester (D+F) prediction model initially introduced in 1979 and the updated D+F model from 2011. Obstructive coronary artery disease (CAD) was defined by one at least 50% diameter coronary stenosis by both CT and ICA.

RESULTS

In total, 1440 patients (654 female, 786 male) were included at 25 clinical sites from May 2014 until July 2017. Of these patients, 725 underwent CT, while 715 underwent ICA. Both prediction models overestimated the prevalence of obstructive CAD (31.7%, 456 of 1440 patients, PTP: initial D+F 58.9% (28.1-90.6%), updated D+F 47.3% (34.2-59.9%), both p < 0.001), but overestimation of disease prevalence was higher for the initial D+F (p < 0.001). The discriminative ability was higher for the updated D+F 2011 (AUC of 0.73 95% confidence interval [CI] 0.70-0.76 versus AUC of 0.70 CI 0.67-0.73 for the initial D+F; p < 0.001; odds ratio (or) 1.55 CI 1.29-1.86, net reclassification index 0.11 CI 0.05-0.16, p < 0.001).

CONCLUSIONS

Clinical PTP calculation using the initial and updated D+F prediction models relevantly overestimates the actual prevalence of obstructive CAD in patients with stable chest pain clinically referred for ICA and CT suggesting that further refinements to improve clinical decision-making are needed.

TRIAL REGISTRATION

https://www.clinicaltrials.gov/ct2/show/NCT02400229 KEY POINTS: • Clinical pre-test probability calculation using the initial and updated D+F model overestimates the prevalence of obstructive CAD identified by ICA and CT. • Overestimation of disease prevalence is higher for the initial D+F compared with the updated D+F. • Diagnostic accuracy of PTP assessment varies strongly between different clinical sites throughout Europe.

摘要

目的

在泛欧环境中检验临床预测概率(PTP)对阻塞性冠状动脉疾病(CAD)的预测准确性。

方法

本研究纳入了参与 DISCHARGE 试验的试点研究、因疑似 CAD 且稳定型胸痛而经临床转诊行有创冠状动脉造影(ICA)或计算机断层扫描(CT)的患者。CAD 的临床预测概率(PTP)使用最初于 1979 年引入的 Diamond-Forrester(D+F)预测模型和 2011 年更新的 D+F 模型来确定。通过 CT 和 ICA 检测至少有一处狭窄 50%的冠状动脉为阻塞性 CAD(CAD)。

结果

2014 年 5 月至 2017 年 7 月,共在 25 个临床中心纳入了 1440 例患者(女性 654 例,男性 786 例)。这些患者中,725 例行 CT 检查,715 例行 ICA 检查。两个预测模型均高估了阻塞性 CAD 的流行程度(31.7%,1440 例患者中有 456 例,初始 D+F 预测模型的 PTP 为 58.9%(28.1-90.6%),更新 D+F 预测模型的 PTP 为 47.3%(34.2-59.9%),两者均 p<0.001),但初始 D+F 预测模型高估的程度更高(p<0.001)。2011 年更新的 D+F 预测模型的区分能力更高(曲线下面积为 0.73,95%置信区间为 0.70-0.76,初始 D+F 预测模型的曲线下面积为 0.70,95%置信区间为 0.67-0.73;p<0.001;优势比为 1.55,95%置信区间为 1.29-1.86,净重新分类指数为 0.11,95%置信区间为 0.05-0.16,均 p<0.001)。

结论

采用初始和更新的 D+F 预测模型进行临床 PTP 计算,会明显高估稳定型胸痛经 ICA 和 CT 临床转诊患者中阻塞性 CAD 的实际流行程度,这表明需要进一步改进以改善临床决策。

试验注册

https://www.clinicaltrials.gov/ct2/show/NCT02400229

关键点

  1. 采用初始和更新的 D+F 模型进行临床预测概率计算会高估经 ICA 和 CT 检查确定的阻塞性 CAD 的患病率。

  2. 与更新的 D+F 模型相比,初始 D+F 模型高估疾病的患病率更高。

  3. 不同欧洲临床中心间,临床预测概率评估的诊断准确性差异很大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a3e/7880945/d0322d5ce636/330_2020_7175_Fig1_HTML.jpg

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