Sánchez Miquel, López Beatriz, Bragulat Ernest, Gómez-Angelats Elisenda, Jiménez Sònia, Ortega Mar, Coll-Vinent Blanca, Alonso Josep R, Queralt Carme, Miró Oscar
Medicine Section, Emergency Department, Hospital Clínic, University of Barcelona, Catalonia, 08036 Barcelona, Spain.
Am J Emerg Med. 2007 Oct;25(8):865-72. doi: 10.1016/j.ajem.2006.12.025.
The aim of the study was to establish a triage flowchart to rule out acute coronary syndrome (ACS) among patients with chest pain (CP) arriving on an Emergency Department (ED).
This prospective observational study included 1000 consecutive patients with CP arriving on an ED CP unit. Demographic and clinical characteristics along with vital signs were recorded as independent variables. After CP unit protocol completion and 1-month follow-up, patients were classified as (dependent variable) (1) true non-ACS (all noncoronary patients at the first visit that kept this condition when called 1 month later) or (2) true ACS (all the remaining patients). Relationship among variables was assessed by multiple logistic regression analysis. A triage flowchart was obtained from significant variables and applied to patients with CP who were then grouped in "triage non-ACS" and "triage ACS." Validity indexes to exclude ACS for triage flowchart were measured.
Variables significantly associated with non-ACS and included in the triage flowchart were age <40 years (odds ratio 3.61, 95% CI 1.63-7.99), absence of diabetes (2.74, 1.53-4.88), no previously known coronary artery disease (5.46, 3.42-8.71), nonoppressive pain (10.63, 6.04-18.70), and nonretrosternal pain (5.16, 2.82-9.42). For the triage flowchart, both specificity and positive predictive value to rule out ACS were 100%.
The triage flowchart is able to accurately identify patients with CP not having an ACS. It may help triage nurses make quick decisions on who should be immediately seen and who could safely wait when delays in medical attention are unavoidable. Prospective validation is needed.
本研究旨在建立一种分诊流程图,以排除急诊科(ED)胸痛(CP)患者中的急性冠状动脉综合征(ACS)。
这项前瞻性观察性研究纳入了1000例连续入住急诊科CP病房的CP患者。将人口统计学和临床特征以及生命体征记录为自变量。在完成CP病房诊疗方案并进行1个月随访后,将患者分类为(因变量)(1)真正的非ACS(首次就诊时所有非冠状动脉疾病患者,1个月后回访时仍保持该状态)或(2)真正的ACS(所有其余患者)。通过多元逻辑回归分析评估变量之间的关系。从显著变量中得出分诊流程图,并应用于CP患者,然后将其分为“分诊非ACS”和“分诊ACS”。测量分诊流程图排除ACS的有效性指标。
与非ACS显著相关并纳入分诊流程图的变量包括年龄<40岁(比值比3.61,95%可信区间1.63 - 7.99)、无糖尿病(2.74,1.53 - 4.88)、既往无已知冠状动脉疾病(5.46,3.42 - 8.71)、非压榨性疼痛(10.63,6.04 - 18.70)和非胸骨后疼痛(5.16,2.82 - 9.42)。对于分诊流程图,排除ACS的特异性和阳性预测值均为100%。
分诊流程图能够准确识别无ACS的CP患者。当不可避免地出现医疗延误时,它可能有助于分诊护士快速决定哪些患者应立即就诊,哪些患者可以安全等待。需要进行前瞻性验证。