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Background: The purpose of this study was to investigate the value of mean platelet volume (MPV) for prognosis of patients with acute cerebral infarction (ACI).
Methods: One hundred ACI patients and 80 healthy volunteers acting as healthy controls (HCs) were consecutively included in this study. Their baseline clinical and laboratory characteristics were extracted from an electroniccase system. ACI patients were followed for 90 days to collect the main study endpoints including poor prognosis, death due to cardiovascular causes, and the recurrence of stroke. ACI patients were evaluated after 7 days in the hospital using the National Institute of Health Stroke Scale (NIHSS) score to evaluate stroke severity on admission and using the modified Rankin Scale (mRS) to evaluate functional disorders. Receiver operating characteristic (ROC) curve analysis was used to estimate the predictive value of MPV on ACI. Kaplan-Meier survival analysis and Cox regression models were used to analyse the value of MPV as a predictor of ACI.
Results: This study suggested that MPV and rate of hypertension were higher in ACI patients than in the HC group. In the follow-up period, 32 ACI patients suffered study endpoints; they had higher average MPV, NIHSS scores, longer ACI onset times, and shorter event-free survival time compared to control patients. ROC curves showed that MPV was an index for prognosis of ACI patients with an AUC of MPV of 0.82 (95% confidence interval (CI): 0.74 - 0.90), and the best cutoff was 10.05 fL. MPV, NHISS scores, age, and TG were independent risk factors for endpoints of ACI patients. MPV with hazard ratio (HR) was 1.94 (95% CI, 1.37 - 2.72, p = 0.000), NIHSS score with HR was 1.22 (95% CI, 1.03 - 1.44, p = 0.021), age with HR was 1.06 (95% CI, 1.00 - 1.11, p = 0.038), and TG HR was 0.60 (95% CI, 0.36 - 1.00, p = 0.048) using Cox regression models. P 0.05 for all groups was considered statistically significant.
Conclusions: Mean platelet volume was an independent risk factor and serves as a sensitive index for the prognosis of ACI patients.
DOI: 10.7754/Clin.Lab.2017.170419
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