Stepien Konrad, Nowak Karol, Skorek Pawel, Baravik Veranika, Kozynacka Anna, Nessler Jadwiga, Zalewski Jaroslaw
Department of Coronary Artery Disease and Heart Failure, John Paul II Hospital, Jagiellonian University Medical College, Krakow, Poland -
Department of Coronary Artery Disease and Heart Failure, John Paul II Hospital, Jagiellonian University Medical College, Krakow, Poland.
Minerva Cardioangiol. 2019 Jun;67(3):181-190. doi: 10.23736/S0026-4725.19.04838-2. Epub 2019 Mar 27.
We sought to investigate whether baseline characteristics of patients with non-ST-segment elevation acute coronary syndrome (NSTEACS) may predict their coronary artery disease (CAD) burden.
Baseline clinical, ECG and laboratory data were compared with angiographic findings of 693 consecutive NSTEACS patients. According to the angiography result all patients were assigned to one of the three groups with: significant stenosis of left main and/or three-vessel CAD (LM-3VD, N.=114), single- or two-vessel CAD (1-2VD, N.=335) or without significant CAD (noVD, N.=244).
Baseline characteristics of compared groups were different. By multivariable logistic regression necrotic enzyme negative ACS (odds ratio [OR] 5.57, 95% CI: 3.74-8.29), female gender (OR=2.23, 95% CI: 1.54-3.24), no previous myocardial infarction (OR=2.06, 95% CI: 1.38-3.08), no diabetes mellitus (OR=1.53, 95% CI: 1.04-2.25), no peripheral arterial disease (OR=1.77, 95% CI: 1.05-2.99) and hematocrit level (0.95 per 1%, 0.91-0.99) independently predicted noVD (χ2=145.8, P<0.0001) with c-statistics of 0.80. All independent predictors were ranked according to the results of multivariable model and the new score for prediction of noVD was introduced with the area under the ROC curve of 0.77 (95% CI: 0.73-0.80, P<0.0001) and sensitivity of 70% and specificity of 66% for <5 points. Also, independent predictors of LM-3VD (age, male gender, diabetes mellitus, peripheral arterial disease, necrotic enzyme positive ACS and baseline Killip Class 3/4) were determined, however their predictive accuracy was moderate with the area under the ROC curve of 0.69 (95% CI: 0.64-0.75).
In patients with NSTEACS, baseline characteristics are useful in predicting a lack of significant CAD, whereas their correlations with multivessel CAD remain moderate.
我们试图研究非ST段抬高型急性冠状动脉综合征(NSTEACS)患者的基线特征是否可预测其冠状动脉疾病(CAD)负担。
将693例连续性NSTEACS患者的基线临床、心电图和实验室数据与血管造影结果进行比较。根据血管造影结果,所有患者被分为三组之一:左主干和/或三支血管CAD显著狭窄(LM-3VD,n = 114)、单支或两支血管CAD(1-2VD,n = 335)或无显著CAD(noVD,n = 244)。
比较组的基线特征不同。通过多变量逻辑回归分析,坏死酶阴性ACS(比值比[OR] 5.57,95%可信区间:3.74 - 8.29)、女性(OR = 2.23,95%可信区间:1.54 - 3.24)、既往无心肌梗死(OR = 2.06,95%可信区间:1.38 - 3.08)、无糖尿病(OR = 1.53,95%可信区间:1.04 - 2.25)、无外周动脉疾病(OR = 1.77,95%可信区间:1.05 - 2.99)和血细胞比容水平(每1%为0.95,0.91 - 0.99)独立预测无显著CAD(noVD)(χ2 = 145.8,P < 0.0001),c统计量为0.80。根据多变量模型结果对所有独立预测因素进行排序,并引入预测noVD的新评分,其ROC曲线下面积为0.77(95%可信区间:0.73 - 0.80,P < 0.0001),对于<5分的情况,敏感性为70%,特异性为66%。此外,还确定了LM-3VD的独立预测因素(年龄、男性、糖尿病、外周动脉疾病、坏死酶阳性ACS和基线Killip分级3/4),然而其预测准确性中等,ROC曲线下面积为0.69(95%可信区间:0.64 - 0.75)。
在NSTEACS患者中,基线特征有助于预测无显著CAD的情况,而它们与多支血管CAD的相关性仍然中等。