Division of Cardiovascular Medicine and Biostatistics, Oregon Health and Science University, Portland, Oregon 97239, USA.
J Am Soc Echocardiogr. 2010 Jun;23(6):636-42. doi: 10.1016/j.echo.2010.03.013. Epub 2010 Apr 24.
Risk stratification of patients presenting to the emergency department (ED) with suspected cardiac chest pain (CP) and an undifferentiated electrocardiogram (ECG) is difficult. We hypothesized that in these patients a risk score incorporating clinical, ECG, and myocardial contrast echocardiography (MCE) variables would accurately predict adverse events occurring within the next 48 hours.
Patients with CP lasting for 30 minutes or more who did not have ST-segment elevation on the ECG, were enrolled. Regional function (RF) and myocardial perfusion (MP) were assessed by MCE. A risk model was developed in the initial 1166 patients (cohort 1) and validated in subsequent 720 patients (cohort 2). Any abnormality or ST changes on ECG (odds ratio [OR] 2.5; 95% confidence interval [CI], 1.4-4.5, P = .002, and OR 2.9, 95% CI, 1.7-4.8, P < .001, respectively), abnormal RF with normal MP (OR 3.5, 95% CI, 1.8-6.5, P < .001), and abnormal RF with abnormal MP (OR 9.6, 95% CI, 5.8-16.0, P < .001) were found to be significant multivariate predictors of nonfatal myocardial infarction or cardiac death.
The estimate of the probability of concordance for the risk model was 0.82 for cohort 1 and 0.83 for cohort 2. The risk score in both cohorts stratified patients into 5 distinct risk groups with event rates ranging from 0.3% to 58%.
A simple predictive instrument has been developed from clinical, ECG, and MCE findings obtained at the bedside that can accurately predict events occurring within 48 hours in patients presenting to the ED with suspected cardiac CP and an ECG that is not diagnostic for acute ischemic injury. Its application could enhance care of patients with CP in the ED. For instance, patients with a risk score of 0 could be discharged from the ED without further workup. However, this needs to be validated in a multicenter study.
对因疑似心前区疼痛(CP)和未分化心电图(ECG)而就诊于急诊科的患者进行风险分层非常困难。我们假设,在这些患者中,纳入临床、心电图和心肌对比超声心动图(MCE)变量的风险评分可以准确预测未来 48 小时内发生的不良事件。
纳入心电图上无 ST 段抬高且持续 30 分钟或更长时间的 CP 患者。通过 MCE 评估局部功能(RF)和心肌灌注(MP)。在最初的 1166 例患者(队列 1)中建立风险模型,并在随后的 720 例患者(队列 2)中验证。心电图任何异常或 ST 段改变(比值比 [OR] 2.5;95%置信区间 [CI],1.4-4.5,P =.002 和 OR 2.9,95% CI,1.7-4.8,P <.001)、正常 MP 伴异常 RF(OR 3.5,95% CI,1.8-6.5,P <.001)和异常 MP 伴异常 RF(OR 9.6,95% CI,5.8-16.0,P <.001)被发现是非致命性心肌梗死或心脏死亡的多变量显著预测因子。
风险模型在队列 1 中的估计一致性为 0.82,在队列 2 中的估计一致性为 0.83。两个队列的风险评分均将患者分为 5 个不同的风险组,发生率从 0.3%到 58%不等。
从床边获得的临床、心电图和 MCE 发现中开发了一种简单的预测工具,可以准确预测因疑似心前区 CP 就诊且心电图不能诊断急性缺血损伤的急诊科患者未来 48 小时内发生的事件。它的应用可以改善急诊科 CP 患者的护理。例如,风险评分为 0 的患者可以无需进一步检查就从急诊科出院。然而,这需要在多中心研究中进行验证。