血清学指标预测急性缺血性脑卒中患者早期神经功能恶化的价值

Value of serological indicators in predicting early neurological deterioration in patients with acute ischemic stroke

  • 摘要:
    目的 探讨血清学指标预测急性缺血性脑卒中(AIS)患者早期神经功能恶化(END)的价值。
    方法 选取276例AIS患者为研究对象,根据是否发生END,分为END组72例和非END组204例。收集所有AIS患者的临床资料。采用多因素Logistic回归分析法分析AIS患者发生END的独立影响因素。采用受试者工作特征(ROC)曲线对各血清学标志物预测END的价值进行评价。
    结果 单因素分析显示, END组年龄>75岁者占比、美国国立卫生研究院卒中量表(NIHSS)评分、空腹血糖(FBG)、尿酸、纤维蛋白原、血小板与淋巴细胞比值(PLR)、中性粒细胞与淋巴细胞比值(NLR)高于非END组,差异具有统计学意义(P < 0.05)。多因素Logistic回归分析结果显示,年龄(OR=1.322, 95% CI: 1.049~1.666)、NIHSS评分(OR=1.793, 95% CI: 1.281~2.510)、FBG (OR=1.392, 95% CI: 1.126~1.722)、PLR (OR=1.505, 95% CI: 1.128~2.008)、NLR (OR=1.677, 95% CI: 1.280~2.197)是AIS患者发生END的独立影响因素。ROC曲线显示, FBG、PLR、NLR预测AIS患者发生END的曲线下面积(AUC)分别为0.642、0.581、0.759。
    结论 PLR、NLR、FBG是AIS患者发生END的独立影响因素。NLR对AIS患者发生END的预测价值较高。

     

    Abstract:
    Objective To explore the value of serological indicators in predicting early neurological deterioration (END) in patients with acute ischemic stroke (AIS).
    Methods A total of 276 AIS patients were selected as the study subjects and divided into END group (72 cases) and non-END group (204 cases) based on the occurrence of END. Clinical data from all AIS patients were collected. Multivariable Logistic regression analysis was used to analyze the independent influencing factors of END in AIS patients. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of various serological markers for END.
    Results Univariate analysis showed that the END group had a significantly higher proportion of patients aged >75 years, higher National Institutes of Health Stroke Scale (NIHSS) scores, fasting blood glucose (FBG), uric acid, fibrinogen, platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) compared to the non-END group (P < 0.05). Multivariable Logistic regression analysis revealed that age (OR=1.322, 95%CI, 1.049 to 1.666), NIHSS score (OR=1.793, 95%CI, 1.281 to 2.510), FBG (OR=1.392, 95%CI, 1.126 to 1.722), PLR (OR=1.505, 95%CI, 1.128 to 2.008) and NLR (OR=1.677, 95%CI, 1.280 to 2.197) were independent influencing factors for END in AIS patients. The ROC curve showed that the areas under the curve (AUC) for FBG, PLR and NLR in predicting END in AIS patients were 0.642, 0.581 and 0.759, respectively.
    Conclusion PLR, NLR and FBG are independent influencing factors for the occurrence of END in AIS patients. NLR has a higher predictive value for END in AIS patients.

     

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