Ha Edward T, Ng Brandon, Afshaq Abeer, Fleischman Eitan, Hosain Batool, Sharma Roohi, Gaeta Theodore J, Parikh Manish, Peterson Stephen J, Aronow Wilbert S
NewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Stony Brook University Hospital, Stony Brook, USA.
Arch Med Sci Atheroscler Dis. 2022 Jul 8;7:e42-e48. doi: 10.5114/amsad/149921. eCollection 2022.
The accuracy of detecting myocardial infarction (MI) has greatly improved with the advent of more sensitive assays, and this has led to etiologic subtyping. Distinguishing between type 1 and type 2 non-ST-segment elevation myocardial infarction (NSTEMI) early in the clinical course allows for the most appropriate advanced diagnostic procedures and most efficacious treatments. The purpose of this study was to investigate the predictive effect of demographic and clinical variables on predicting NSTEMI subtypes in patients presenting with ischemic symptoms.
We performed a single institution retrospective cohort study of patients who presented to the emergency department (ED) with ischemic signs and symptoms consistent with non-ST-segment myocardial infarction, for whom results of coronary angiography were available. We analyzed demographic, laboratory, echocardiography and angiography data to determine predictors of NSTEMI sub-types.
Five hundred and forty-six patients were enrolled; 426 patients were found on coronary angiography to have type 1 acute MI (T1AMI), whereas 120 patients had type 2 acute MI (T2AMI). Age (OR per year = 1.03 (1.00, 1.05), = 0.03), prior MI (OR = 3.50 (1.68, 7.22), = 0.001), L/H > 2.0 (OR = 1.55 (1.12, 2.13), = 0.007), percentage change in troponin I > 25% (OR = 2.54 (1.38, 4.69), = 0.003), and regional wall motion abnormalities (RWMA) (OR = 3.53 (1.46, 8.54), = 0.004) were independent predictors of T1AMI, whereas sex, race, body mass index, hypertension, end-stage renal disease (ESRD), heart failure, family history (FH) of coronary artery disease (CAD), HbA, and left ventricular ejection fraction (LVEF) were not.
Key clinical variables such as age, prior MI, L/H ratio, percentage change in troponin I, and presence of RWMA on echocardiogram may be utilized as significant predictors of T1AMI in patients presenting with ischemic symptoms to the ED.
随着更敏感检测方法的出现,心肌梗死(MI)检测的准确性有了很大提高,这也促成了病因分型。在临床过程早期区分1型和2型非ST段抬高型心肌梗死(NSTEMI),有助于采取最恰当的高级诊断程序和最有效的治疗方法。本研究的目的是调查人口统计学和临床变量对有缺血症状患者NSTEMI亚型预测的影响。
我们对因缺血体征和症状就诊于急诊科(ED)且有冠状动脉造影结果、符合非ST段心肌梗死的患者进行了单机构回顾性队列研究。我们分析了人口统计学、实验室、超声心动图和血管造影数据,以确定NSTEMI亚型的预测因素。
共纳入546例患者;冠状动脉造影显示426例患者为1型急性心肌梗死(T1AMI),120例患者为2型急性心肌梗死(T2AMI)。年龄(每年OR = 1.03(1.00,1.05),P = 0.03)、既往心肌梗死(OR = 3.50(1.68,7.22),P = 0.001)、L/H>2.0(OR = 1.55(1.12,2.13),P = 0.007)、肌钙蛋白I变化百分比>25%(OR = 2.54(1.38,4.69),P = 0.003)以及室壁运动异常(RWMA)(OR = 3.53(1.46,8.54),P = 0.004)是T1AMI的独立预测因素,而性别、种族、体重指数、高血压、终末期肾病(ESRD)、心力衰竭、冠状动脉疾病(CAD)家族史(FH)、糖化血红蛋白(HbA)和左心室射血分数(LVEF)则不是。
年龄、既往心肌梗死、L/H比值、肌钙蛋白I变化百分比以及超声心动图上RWMA的存在等关键临床变量,可作为有缺血症状就诊于ED患者T1AMI的重要预测因素。