Sincer Isa, Mansiroglu Asli Kurtar, Erdal Emrah, Cosgun Mehmet, Aktas Gulali, Gunes Yilmaz
Department of Cardiology, Abant Izzet Baysal University Faculty of Medicine Hospital, Bolu, Turkey.
Department of Internal Medicine, Abant Izzet Baysal University Faculty of Medicine Hospital, Bolu, Turkey.
North Clin Istanb. 2020 Mar 19;7(2):112-117. doi: 10.14744/nci.2019.47374. eCollection 2020.
We hypothesized that hemogram parameters should be related to the development of coronary collateral vessels. For this purpose, we aimed to compare platelet distribution width (PDW) and PDW to platelet ratio (PPR) in subjects with stable coronary artery disease having adequate or inadequate coronary collateral development.
A total of 398 patients with stable angina pectoris undergoing coronary angiography were enrolled and divided on the basis of the development of coronary collateral (CCD) (inadequate CCD (n=267) and adequate CCD (n=131). Routine complete blood count and biochemical parameters were measured before coronary arteriography.
Mean PDW and PPR values of inadequate and adequate CCD groups were 17.5% (10-23) and 12.4% (9.8-22) %, p<0.001, respectively. In multivariate analysis, age (p=0.012, 95% CI for OR: 0.958 (0.933-0.983) and PDW (p<0.001, 95% CI for OR: 1.432 (1.252-1.618) were found to be statistically significantly different inadequate CCD group compared to adequate CCD group. Receiver operating curve (ROC) analyses revealed that a PPR value greater than 0.057 had 76% sensitivity and 51% specificity and a PDW higher than 16.2% had 80% sensitivity and 66% specificity in predicting inadequate CCD.
The present study suggests that PDW and PPR may be associated with the degree of collateral development in chronic stable coronary artery disease (CAD).
我们推测血常规参数应与冠状动脉侧支血管的发育有关。为此,我们旨在比较冠状动脉侧支血管发育良好或不良的稳定型冠状动脉疾病患者的血小板分布宽度(PDW)和血小板分布宽度与血小板比值(PPR)。
共纳入398例接受冠状动脉造影的稳定型心绞痛患者,并根据冠状动脉侧支(CCD)发育情况进行分组(不良CCD组(n = 267)和良好CCD组(n = 131))。在冠状动脉造影前测量常规全血细胞计数和生化参数。
不良CCD组和良好CCD组的平均PDW和PPR值分别为17.5%(10 - 23)和12.4%(9.8 - 22)%,p < 0.001。多因素分析显示,与良好CCD组相比,不良CCD组的年龄(p = 0.012,OR的95%CI:0.958(0.933 - 0.983))和PDW(p < 0.001,OR的95%CI:1.432(1.252 - 1.618))在统计学上有显著差异。受试者工作特征曲线(ROC)分析显示,PPR值大于0.057在预测不良CCD时具有76%的敏感性和51%的特异性,PDW高于16.2%具有80%的敏感性和66%的特异性。
本研究表明,PDW和PPR可能与慢性稳定型冠状动脉疾病(CAD)的侧支血管发育程度有关。