Predictive value of mean platelet volume/platelet count ratio for short-term outcome in patients with acute noncardioembolic stroke
10.3760/cma.j.issn.1673-4165.2019.09.007
- VernacularTitle: 平均血小板体积/血小板计数比值预测非心源性栓塞性卒中患者的短期转归
- Author:
Yumeng GU
1
;
Xiaoshuang XIA
;
Qi DONG
;
Xin LI
Author Information
1. Department of Neurology, the Second Hospital of Tianjin Medical University, Tianjin 300211, China.
- Publication Type:Clinical Trail
- Keywords:
Stroke;
Brain ischemia;
Mean platelet volume;
Platelet count;
Treatment outcome;
Risk factors
- From:
International Journal of Cerebrovascular Diseases
2019;27(9):673-678
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive value of mean platelet volume/platelet count ratio (MPV/PC) for short-term outcome in patients with acute noncardioembolic stroke.
Methods:Patients with acute noncardioembotic stroke admitted to the Department of Neurology, the Second Hospital of Tianjin Medical University from April 2018 to April 2019 were retrospectively enrolled. According to the modified Rankin Scale (mRS) score at discharge or 14 days after onset, patients were divided into the good outcome group (mRS 0-2) and the poor outcome group (mRS >2). The demographic, baseline clinical data, laboratory findings were collected and compared between the good outcome group and the poor outcome group. MPV/PC values were calculated according to the average platelet volume and platelet count in blood routine. Multivariate logistic regression analysis was used to determine the independent predictive factors of poor outcome. Receiver operating characteristic (ROC) curves analysis was used to evaluate the predictive value of MPV/PC for poor outcome.
Results:A total of 596 patients with acute noncardioembolic stroke were enrolled, including 391 (65.60%) with good outcome and 205 (34.40%) with poor outcome. MPV/PC in the poor outcome group was significantly higher than that in the good outcome group (0.06±0.08 vs. 0.04±0.03; t=-4.392, P<0.001). Multivariate logistic regression analysis showed that MPV/PC was an independent predictive factor for the poor outcome (odds ratio 1.088, 95% confidence interval 1.042~1.137; P<0.001). ROC curve analysis showed that the best cut-off value for MPV/PC to predict poor oucotme was 0.050, the area under the curve was 0.772 (95% confidence interval 0.732~0.812), the sensitivity was 62.1%, the specificity was 81.6%, the positive predictive value was 86.3%, and the negative predictive value was 92.2%.
Conclusion:MPV/PC is an independent predictive factor for poor short-term outcome in patients with acute noncardioembolic stroke, and has certain predictive value.
