Ma Chun-Peng, Liu Xiao-Li, Feng Jian-Shuang, Dong Xue-Fei
Department of Cardiology, The First Hospital of Qinhuangdao, Hebei Province, China.
Department of Endocrinology, The First Hospital of Qinhuangdao, Hebei Province, China.
Ann Noninvasive Electrocardiol. 2022 May;27(3):e12929. doi: 10.1111/anec.12929. Epub 2021 Dec 29.
To investigate a new risk score for acute chest pain with suspected non-ST-segment elevation acute coronary syndrome (NSTE-ACS).
Patients who suffered from Chest pain and suspected NSTE-ACS were enrolled as subjects. Predictor variables had been analyzed, and a bootstrap technique was used to evaluate the internal validity of the model, and external validation had been assessed for a prospective cohort study.
Thousand five hundred and sixty-eight patients had been included in this study. Six predictor variables were found to be significant and were used to develop the model. The C-statistic of the model was 0.83, and internal validation revealed the stability of the model and the absence of over-optimism. Patients were given different triage recommendations, and the risk score was prospectively validated.
A risk score may be a suitable method for assessing the risk of major adverse cardiac events and aiding patient triage in emergency departments among patients with suspected NSTE-ACS.
研究一种用于疑似非ST段抬高型急性冠状动脉综合征（NSTE-ACS）急性胸痛的新风险评分。
纳入胸痛且疑似NSTE-ACS的患者作为研究对象。对预测变量进行分析，并采用自助法评估模型的内部效度，通过前瞻性队列研究进行外部验证。
本研究共纳入1568例患者。发现6个预测变量具有显著性，并用于构建模型。该模型的C统计量为0.83，内部验证显示模型具有稳定性且不存在过度乐观的情况。给予患者不同的分诊建议，并对风险评分进行前瞻性验证。
风险评分可能是评估疑似NSTE-ACS患者主要不良心脏事件风险及辅助急诊科患者分诊的合适方法。
