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新型心电图评分对急性肺栓塞术前概率的预测价值。

Usefulness of a Novel Electrocardiographic Score to Estimate the Pre-Test Probability of Acute Pulmonary Embolism.

机构信息

3rd Department of Medicine, Semmelweis University, Budapest, Hungary.

Department of Cardiology, Saint Imre University Teaching Hospital, Budapest, Hungary.

出版信息

Am J Cardiol. 2020 Sep 1;130:143-151. doi: 10.1016/j.amjcard.2020.05.042. Epub 2020 Jun 7.

Abstract

According to our experience the 12-lead electrocardiogram (ECG) may be used to estimate the pretest probability of acute pulmonary embolism (acPE). To this end, we devised a novel ECG score (nECGs) composed of 5 known ECG criteria, best characterizing the key pathogenetic steps of acPE. A retrospective derivation cohort including 136 patients with acPE and a prospective validation cohort including 149 consecutive patients were used to devise and validate the nECGs. The latter cohort consisted of 76 patients with acPE and 73 controls presenting with characteristic symptoms of acPE, in whom the work-up ruled out acPE. We compared the diagnostic value of our nECGs with those of another ECG score (Daniel-ECG-score) and of the best prediction rules (3 Wells score and 2 Geneva score variants). The sensitivity (98.7%), negative predictive value (98%), test accuracy (84.4%) and the negative likelihood ratio (LR) (0.019) of the nECGs were superior to those of all other investigated methods. There was no between-groups difference in the positive LR. The specificity (69%) of the nECGs was inferior to those of the Daniel-ECG-score and Wells scores and did not differ or was superior to those of the Geneva score variants. The positive predictive value (77.3%) of the nECGs was superior to those of the 2 Geneva scores and did not differ from those of the other methods. In conclusion, the nECGs due to its superior sensitivity, negative predictive value, test accuracy, and negative LR estimated the pretest probability of acPE better than the Daniel-ECG-score and the prediction rules.

摘要

根据我们的经验,12 导联心电图(ECG)可用于估计急性肺栓塞(acPE)的术前概率。为此,我们设计了一种新的心电图评分(nECGs),由 5 个已知的心电图标准组成,可最佳描述 acPE 的关键发病步骤。使用回顾性推导队列(包括 136 例 acPE 患者)和前瞻性验证队列(包括 149 例连续出现 acPE 特征性症状的患者)来设计和验证 nECGs。后一个队列由 76 例 acPE 患者和 73 例有 acPE 特征性症状但经检查排除 acPE 的对照组组成。我们比较了 nECGs 与另一种心电图评分(Daniel-ECG-score)和最佳预测规则(3 Wells 评分和 2 Geneva 评分变体)的诊断价值。nECGs 的敏感性(98.7%)、阴性预测值(98%)、测试准确性(84.4%)和阴性似然比(LR)(0.019)均优于其他研究方法。阳性 LR 无组间差异。nECGs 的特异性(69%)低于 Daniel-ECG-score 和 Wells 评分,与 Geneva 评分变体无差异或优于其特异性。nECGs 的阳性预测值(77.3%)优于 2 个 Geneva 评分,与其他方法无差异。总之,nECGs 由于其较高的敏感性、阴性预测值、测试准确性和阴性 LR,比 Daniel-ECG-score 和预测规则更能估计 acPE 的术前概率。

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