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Mean platelet volume: a new predictor of ischaemic stroke risk in patients with nonvalvular atrial fibrillation

机译:平均血小板体积:非衰弱性心房颤动患者缺血性卒中风险的新预测因子

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摘要

Abstract Background Mean platelet volume (MPV) has been identified as an individual risk factor for stroke and thrombosis. Concurrently, ischaemic stroke caused by nonvalvular atrial fibrillation (AF) has attracted increasing attention. The aim of this study was to investigate the association between MPV and the risk of ischaemic stroke in AF patients not receiving anticoagulant therapy. Methods A total of 370 patients with nonvalvular AF were enrolled. Patients were divided into a control group and a stroke group according to the presence of ischaemic stroke. Results The MPV level and CHA2DS2-VASc scores of the stroke group were higher than those of the control group (all p < 0.001). The ischaemic stroke event rates were significantly increased in the highest MPV tertile when compared to the lowest MPV tertile (56.9% vs. 30.3%, p < 0.001). Multivariate logistic regression analysis showed that CHA2DS2-VASc, MPV and D-dimer (D2) were predictors of ischaemic stroke [all p < 0.05]. The receiver operating characteristic (ROC) curve analysis indicated that an MPV value of 11.65 fL could predict ischaemic stroke with a sensitivity of 67.3% and specificity of 58.5%, while a CHA2DS2-VASc score cutoff value 3.5 had a sensitivity of 52.1% and specificity of 87.3%. The predictive value of the combined model of CHA2DS2-VASc+MPV was higher than others (comparison calculated by using MedCalc software). The sensitivity of the CHA2DS2-VASc score combined with MPV for predicting ischaemic stroke was 72.1%, and the specificity was 81.5%. Conclusions MPV could be a new predictor of ischaemic stroke risk in patients with AF. Moreover, the CHA2D2S2-VASc combined with MPV can improve predictive value with higher sensitivity and it could be a powerful tool for stratifying patients in terms of ischaemic stroke risk.
机译:摘要背景血小板平均体积(MPV)已被确定为中风和血栓形成的一个独立的危险因素。同时,缺血性中风引起的非瓣膜性房颤(AF)已经吸引了越来越多的关注。这项研究的目的是调查MPV和缺血性中风的不接受抗凝治疗的房颤患者的风险之间的关联。方法对370例非瓣膜性房颤患者。将患者分为对照组和根据缺血性中风的存在的笔划组。笔划组的结果MPV水平和CHA2DS2-VASC分数比对照组的较高(所有P <0.001)。相较于最低MPV三分位(56.9%对30.3%,P <0.001)时的最高三分位MPV的缺血性中风事件率显著增加。多变量logistic回归分析显示,CHA2DS2-VASC,MPV和d二聚体(D2)为缺血性中风[所有P <0.05]的预测因子。接收器操作特性(ROC)曲线分析表明,11.65 FL的MPV值可以预测缺血性中风用的67.3%和58.5%的特异性,灵敏度,而CHA2DS2-VASC得分截断值3.5有52.1%和特异性的灵敏度的87.3%。 CHA2DS2-VASC + MPV的组合模型的预测值是高于其他(通过使用的MedCalc软件计算比较)。所述CHA2DS2-VASC的灵敏度评分与MPV用于预测缺血性中风合并为72.1%,特异度为81.5%。结论MPV可能是房颤患者缺血性卒中风险预测新。此外,CHA2D2S2-VASC与MPV相结合,可提高高灵敏度预测值,它可能是在缺血性中风的风险分层而言患者的有力工具。

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