Looi Jen-Li, Poppe Katrina, Lee Mildred, Gilmore Jill, Webster Mark, To Andrew, Kerr Andrew J
Cardiology, Middlemore Hospital, Auckland, New Zealand.
Epidemiology & Biostatistics, University of Auckland, Auckland, New Zealand.
Open Heart. 2020 Mar 11;7(1):e001197. doi: 10.1136/openhrt-2019-001197. eCollection 2020.
A score to distinguish Takotsubo syndrome (TS) from acute coronary syndrome would be useful to facilitate appropriate patient investigation and management. This study sought to derive and validate a simple score using demographic, clinical and ECG data to distinguish women with non-ST elevation myocardial infarction (NSTEMI) from NSTE-TS.
The derivation cohort consisted of women with NSTE-TS (n=100) and NSTEMI (n=100). Logistic regression was used to derive the score using ECG values available on the postacute ward round on day 1 post-hospital admission. The score was then temporally validated in subsequent consecutive patients with NSTE-TS (n=40) and NSTEMI (n=70).
The five variables in the score and their relative weights were: T-wave inversion in ≥6 leads (+3), recent stress (+2), diabetes (-1), prior cardiovascular disease (-2) and ST-depression in any lead (-3). When calculated using ECG values obtained at admission, discrimination between conditions was very good (area under the curve (AUC) 0.87 95% CI 0.83 to 0.92). The optimal score cut-point of ≥1 to predict NSTE-TS had 73% sensitivity and 90% specificity. When applied to the validation cohort at admission, AUC was 0.82 (95% CI 0.75 to 0.90) and positive and negative predictive values were 78% and 81%, respectively. On day 1 post-admission, AUC was 0.92 (95% CI 0.87 to 0.97), with positive and negative predictive values of 77% and 91%, respectively.
This NSTE-TS score is easy to use and may prove useful in clinical practice to distinguish women with NSTE-TS from NSTEMI. Further validation in external cohorts is needed.
建立一个能够区分应激性心肌病(TS)和急性冠状动脉综合征的评分系统,将有助于推动对患者进行恰当的检查和管理。本研究旨在利用人口统计学、临床和心电图数据得出并验证一个简单的评分系统,以区分非ST段抬高型心肌梗死(NSTEMI)女性患者和非ST段抬高型应激性心肌病(NSTE-TS)女性患者。
推导队列包括NSTE-TS女性患者(n = 100)和NSTEMI女性患者(n = 100)。采用逻辑回归分析,利用入院后第1天急性病房查房时可获取的心电图值得出评分系统。随后,在后续连续的NSTE-TS患者(n = 40)和NSTEMI患者(n = 70)中对该评分系统进行时间验证。
该评分系统中的五个变量及其相对权重分别为:≥6个导联出现T波倒置(+3)、近期有应激事件(+2)、糖尿病(-1)、既往有心血管疾病(-2)以及任一导联出现ST段压低(-3)。使用入院时获得的心电图值进行计算时,两种病症之间的区分度非常好(曲线下面积(AUC)为0.87,95%置信区间为0.83至0.92)。预测NSTE-TS的最佳评分切点≥1时,灵敏度为73%,特异度为90%。应用于验证队列入院时,AUC为0.82(95%置信区间为0.75至0.90),阳性预测值和阴性预测值分别为78%和81%。入院后第1天,AUC为0.92(95%置信区间为0.87至0.97),阳性预测值和阴性预测值分别为77%和91%。
这个NSTE-TS评分系统易于使用,在临床实践中可能有助于区分NSTE-TS女性患者和NSTEMI女性患者。需要在外部队列中进行进一步验证。