Área de Urgencias, Hospital Clínic, Universitat de Barcelona, Barcelona, España. The GREAT (Global Reaseach on Acute Conditions Team) network, Roma, Italia.
Área de Urgencias, Hospital Clínic, Universitat de Barcelona, Barcelona, España.
Emergencias. 2020 Feb;32(1):9-18.
To analyze clinical data and electrocardiographic (ECG) findings obtained during the initial evaluation of patients with nontraumatic chest pain (NTCP). To explore associations between these findings and the initial and final diagnoses of acute coronary syndrome (ACS). To assess which variables initially over- or underestimate risk ACS.
Consecutive patients with NTCP attended in a chest pain unit during the 10-year period of 2008-2017 were included if the suspected and discharge diagnoses of interest (ACS or non-ACS) had been recorded. Thirtythree independent variables (demographic, 2; cardiovascular, 5; chest pain, 22; ECG, 4). We included all variables in models to calculate crude and adjusted odds ratios (ORs) between each independent variable and the initial and final diagnoses. The adjusted ORs were compared to determine whether the initial and final diagnoses of ACS differed significantly in relation to the variables.
A total of 34 552 patient visits were attended. The ORs for the 33 variables were significantly associated with initial and final NTCP classification as ACS or non-ACS, and in many cases the association was confirmed by the adjusted ORs. The adjusted ORs for 19 variables were significantly different in their relation to the initial and final diagnoses of ACS: 10 overpredicted the probability of the diagnosis and 9 underpredicted it.
The variables traditionally used to warn of ACS in emergency patients with NTCP identify individuals likely to be initially and finally diagnosed with ACS. However, some of these variables overestimate or underestimate the risk of a final ACS diagnosis. Emergency medicine physicians should be aware of variables associated with underestimation of risk.
分析非创伤性胸痛(NTCP)患者初始评估时获得的临床数据和心电图(ECG)结果。探讨这些发现与急性冠状动脉综合征(ACS)的初始和最终诊断之间的关系。评估哪些变量最初会高估或低估 ACS 的风险。
连续纳入 2008 年至 2017 年期间在胸痛单元就诊的 NTCP 患者,如果记录了可疑和出院诊断(ACS 或非 ACS)。33 个独立变量(人口统计学,2;心血管,5;胸痛,22;ECG,4)。我们将所有变量纳入模型,以计算每个独立变量与初始和最终诊断之间的粗比值比(OR)和调整比值比(OR)。比较调整后的 OR,以确定 ACS 的初始和最终诊断在与变量的关系上是否存在显著差异。
共纳入 34552 例患者就诊。33 个变量的 OR 与初始和最终 NTCP 分类为 ACS 或非 ACS 显著相关,在许多情况下,调整后的 OR 也证实了这种相关性。19 个变量的调整 OR 在与 ACS 的初始和最终诊断的关系上存在显著差异:10 个变量高估了诊断的概率,9 个变量低估了诊断的概率。
传统上用于警告急诊 NTCP 患者 ACS 的变量可识别出最初和最终可能被诊断为 ACS 的个体。然而,其中一些变量高估或低估了最终 ACS 诊断的风险。急诊医师应注意与低估风险相关的变量。