Kaul P, Fu Y, Chang W C, Harrington R A, Wagner G S, Goodman S G, Granger C B, Moliterno D J, Van de Werf F, Califf R M, Topol E J, Armstrong P W
University of Alberta, Edmonton, Canada.
J Am Coll Cardiol. 2001 Jul;38(1):64-71. doi: 10.1016/s0735-1097(01)01307-9.
Our objectives were to develop a risk-stratification model addressing the importance of the magnitude and distribution of ST segment depression in predicting long-term outcomes and to validate the model in an analogous patient population.
Although patients without ST segment elevation presenting with acute coronary syndromes represent an increasingly frequent population admitted to coronary care units, little attention has been paid to quantifying their ST segment abnormalities.
ST segment depression was categorized into three groups: 1) no ST segment depression; 2) 1-mm ST segment depression in two contiguous leads; and 3) ST segment depression > or =2 mm in two contiguous leads. A logistic regression model was developed using Platelet IIb/IIIa Antagonism for the Reduction of Acute coronary syndrome events in a Global Organization Network (PARAGON-A) data to assess the prognostic value of the extent and distribution of ST segment depression in predicting one-year mortality. The model was validated using the non-ST segment elevation population in Global Use of Strategies To Open occluded arteries in acute coronary syndromes (GUSTO-IIb).
ST segment depression was the strongest predictor of one-year mortality, accounting for 35% of the model's predictive power. Patients with ST segment depression > or =2 mm were approximately 6 times (odds ratio [OR] 5.73, 95% confidence interval [CI] 2.8 to 11.6) more likely to die within one year than patients with no ST segment depression. On validation, the model showed good discriminatory power (c-index = 0.75). Patients with ST segment depression > or =2 mm in more than one region were almost 10 times more likely to die within one year than patients with no ST segment depression.
These data provide new evidence supporting the powerful prognostic value of the baseline electrocardiogram and, in particular, the magnitude and distribution of ST segment depression in predicting unfavorable events.
我们的目标是开发一种风险分层模型,该模型考虑ST段压低的程度和分布在预测长期预后中的重要性,并在类似患者群体中验证该模型。
尽管无ST段抬高的急性冠状动脉综合征患者在冠心病监护病房的住院人数日益增多,但对其ST段异常的量化关注较少。
ST段压低分为三组:1)无ST段压低;2)两个相邻导联ST段压低1mm;3)两个相邻导联ST段压低≥2mm。使用全球组织网络中血小板IIb/IIIa拮抗剂降低急性冠状动脉综合征事件(PARAGON-A)的数据建立逻辑回归模型,以评估ST段压低的程度和分布在预测一年死亡率中的预后价值。该模型在急性冠状动脉综合征开放闭塞动脉全球策略(GUSTO-IIb)研究的非ST段抬高人群中进行验证。
ST段压低是一年死亡率的最强预测因素,占模型预测能力的35%。ST段压低≥2mm的患者在一年内死亡的可能性比无ST段压低的患者高约6倍(优势比[OR]5.73,95%置信区间[CI]2.8至11.6)。在验证中,该模型显示出良好的区分能力(c指数=0.75)。一个以上区域ST段压低≥2mm的患者在一年内死亡的可能性几乎是无ST段压低患者的10倍。
这些数据提供了新的证据,支持基线心电图尤其是ST段压低的程度和分布在预测不良事件方面具有强大的预后价值。