混淆
医学
优势比
逻辑回归
置信区间
单变量分析
平均血小板体积
内科学
血小板
冲程(发动机)
胃肠病学
多元分析
机械工程
工程类
作者
Changyi Wang,Lu Wang,Linghui Deng,Shi Qiu,Shihong Zhang,Ming Liu,Bo Wu
标识
DOI:10.2174/1567202617666191226115518
摘要
Hemorrhagic transformation (HT) is a frequent complication of acute ischemic stroke (AIS). Mean platelet volume (MPV) is a marker of platelet function. The relationship between MPV and HT remains unclear.From January 1st, 2012 to December 31st 2016, we consecutively enrolled AIS patients admitted to the Department of Neurology of West China Hospital. MPV was measured on admission. HT was diagnosed by brain imaging and classified into hemorrhagic infarct (HI) and parenchymal hematoma (PH). Moreover, subjects were divided into tertiles according to MPV levels. Confounders were identified by univariate analysis and multivariate logistic regression was performed to explore the association between MPV and HT as well as HT subtypes. Also, a generalized additive model was used to investigate whether a non-linear association existed between MPV and HT.A total of 783 AIS patients were included. 63 patients (8.0%) developed HT: 34 (4.3%) HI and 29 (3.7%) PH. It was observed that MPV positively correlated with HT. After adjustment for confounders, patients in the highest MPV tertile had a significantly increased risk of HT compared to patients in the lowest tertile (odds ratio 2.3, 95% confidence interval 1.0-5.4, P=0.04). The risk of HT increased step-wise across MPV tertiles (P for trend=0.04). MPV tertiles significantly correlated with HI rather than PH. The generalized additive model demonstrated a nonlinear association between MPV and HT (P=0.02).The risk of HT increased with increasing MPV level in a dose-dependent manner. Patients with elevated MPV levels were more likely to develop HI rather than PH.
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