Suppr超能文献

血小板分布宽度作为冠状动脉分叉病变治疗中的预后标志物。

Platelet distribution width as the prognostic marker in coronary bifurcation treatment.

作者信息

Kern Adam, Gil Robert J, Bojko Krystian, Sienkiewicz Ewa, Januszko-Giergielewicz Beata, Górny Jerzy, Bil Jacek

机构信息

Faculty of Medical Sciences, University of Warmia and Mazury, Olsztyn, Poland.

Department of Cardiology, Regional Specialist Hospital in Olsztyn, Olsztyn, Poland.

出版信息

Eur J Clin Invest. 2017 Jul;47(7):524-530. doi: 10.1111/eci.12773.

Abstract

BACKGROUND

Mean platelet volume (MPV) was proved to be a reliable prognostic factor in cardiac patients. However, platelet distribution width (PDW) was disclosed to be more specific marker of platelet reactivity. The aim of study was to evaluate whether baseline PDW value can predict the outcome in patients undergoing percutaneous coronary interventions (PCI) with drug-eluting stent implantation within coronary bifurcation lesions.

MATERIALS AND METHODS

It was a two-centre observational study, which included patients who underwent PCI within bifurcation lesions between January 2014 and December 2014. Thrombocytopenia below 100 000/μL and STEMI were the exclusion criteria. Analysed data came entirely from in-hospital records and information obtained from the 12-month telephone follow-up.

RESULTS

We included 269 patients. Mean PDW value was 13·4 ± 2·5 fL, whereas median was 13 (Q1 < 11·6 fL, Q2 11·6-13 fL, Q3 13-14·8 fL and Q4 > 14·8 fL). We found strong correlation between PDW and MPV (r = 0·96, P < 0·001), but no correlation was revealed between red blood cell distribution width (RDW) and PDW (r = 0·003, P = 0·95) as well as RDW and MPV (r = 0·0018, P = 0·98). Receiver operating characteristics (ROC) curve showed that PDW for cutoff 15·8% can predict MACE rate with sensitivity of 79% and specificity of 47% (area under curve - AUC 0·654; P = 0·01). A ROC curve for PDW categorized by 1-year TLR rate was described by optimal cutoff 16·3%, with sensitivity 69% and specificity 54% (AUC 0·697; P = 0·0015).

CONCLUSIONS

PDW is an affordable and reliable predictor of 1-year MACE and TLR rate after PCI within coronary bifurcation lesions.

摘要

背景

平均血小板体积(MPV)已被证明是心脏疾病患者可靠的预后因素。然而,血小板分布宽度(PDW)被发现是血小板反应性更具特异性的标志物。本研究的目的是评估基线PDW值是否能够预测冠状动脉分叉病变处接受药物洗脱支架植入的经皮冠状动脉介入治疗(PCI)患者的预后。

材料与方法

这是一项双中心观察性研究,纳入了2014年1月至2014年12月期间在分叉病变处接受PCI的患者。血小板减少至低于100 000/μL以及ST段抬高型心肌梗死(STEMI)为排除标准。分析的数据完全来自住院记录以及通过12个月电话随访获得的信息。

结果

我们纳入了269例患者。平均PDW值为13.4±2.5 fL,中位数为13(第一四分位数<11.6 fL,第二四分位数11.6 - 13 fL,第三四分位数13 - 14.8 fL,第四四分位数>14.8 fL)。我们发现PDW与MPV之间存在强相关性(r = 0.96,P<0.001),但红细胞分布宽度(RDW)与PDW之间未显示相关性(r = 0.003,P = 0.95),RDW与MPV之间也未显示相关性(r = 0.0018,P = 0.98)。受试者工作特征(ROC)曲线显示,截断值为15.8%时,PDW能够预测主要不良心血管事件(MACE)发生率,敏感性为79%,特异性为47%(曲线下面积 - AUC 0.654;P = 0.01)。按1年靶病变血运重建(TLR)率分类的PDW的ROC曲线,最佳截断值为16.3%,敏感性为69%,特异性为54%(AUC 0.697;P = 0.0015)。

结论

PDW是冠状动脉分叉病变处PCI术后1年MACE和TLR率的一种经济且可靠的预测指标。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验