Christchurch Hospital, Christchurch, New Zealand.
Emerg Med Australas. 2014 Feb;26(1):34-44. doi: 10.1111/1742-6723.12164. Epub 2014 Jan 15.
Risk scores and accelerated diagnostic protocols can identify chest pain patients with low risk of major adverse cardiac event who could be discharged early from the ED, saving time and costs. We aimed to derive and validate a chest pain score and accelerated diagnostic protocol (ADP) that could safely increase the proportion of patients suitable for early discharge.
Logistic regression identified statistical predictors for major adverse cardiac events in a derivation cohort. Statistical coefficients were converted to whole numbers to create a score. Clinician feedback was used to improve the clinical plausibility and the usability of the final score (Emergency Department Assessment of Chest pain Score [EDACS]). EDACS was combined with electrocardiogram results and troponin results at 0 and 2 h to develop an ADP (EDACS-ADP). The score and EDACS-ADP were validated and tested for reproducibility in separate cohorts of patients.
In the derivation (n = 1974) and validation (n = 608) cohorts, the EDACS-ADP classified 42.2% (sensitivity 99.0%, specificity 49.9%) and 51.3% (sensitivity 100.0%, specificity 59.0%) as low risk of major adverse cardiac events, respectively. The intra-class correlation coefficient for categorisation of patients as low risk was 0.87.
The EDACS-ADP identified approximately half of the patients presenting to the ED with possible cardiac chest pain as having low risk of short-term major adverse cardiac events, with high sensitivity. This is a significant improvement on similar, previously reported protocols. The EDACS-ADP is reproducible and has the potential to make considerable cost reductions to health systems.
风险评分和加速诊断方案可识别出发生重大心脏不良事件风险低的胸痛患者,这些患者可从急诊室提前出院,从而节省时间和成本。我们旨在开发和验证一种胸痛评分和加速诊断方案(ADP),以安全地增加适合提前出院的患者比例。
逻辑回归确定了发病队列中重大心脏不良事件的统计预测因子。将统计系数转换为整数以创建评分。临床医生的反馈用于提高最终评分(急诊胸痛评估评分 [EDACS])的临床合理性和可用性。将 EDACS 与心电图结果和肌钙蛋白在 0 小时和 2 小时的结果相结合,开发出 ADP(EDACS-ADP)。在两个独立的患者队列中对评分和 EDACS-ADP 进行验证和测试重现性。
在发病(n = 1974)和验证(n = 608)队列中,EDACS-ADP 将 42.2%(敏感性 99.0%,特异性 49.9%)和 51.3%(敏感性 100.0%,特异性 59.0%)归类为重大心脏不良事件的低风险。患者低风险分类的组内相关系数为 0.87。
EDACS-ADP 识别出大约一半因可能的心脏胸痛就诊于急诊室的患者具有短期发生重大心脏不良事件的低风险,其敏感性高。这比以前报告的类似方案有了显著的改进。EDACS-ADP 具有可重复性,有可能为卫生系统带来巨大的成本节约。