血清NGAL水平预测急性缺血性脑卒中的临床价值

Clinical value of serum NGAL level in predicting acute ischemic stroke

目的探讨血清中性粒细胞明胶酶相关脂质运载蛋白(NGAL)预测急性缺血性脑卒中的临床价值。方法选取2019年1—12月该院收治的急性缺血性脑卒中患者222例为观察组,同期体检健康者156例为健康对照组。检测研究对象血清NGAL、超敏C反应蛋白(hsCRP)、总胆固醇(TC)、三酰甘油(TG)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)和同型半胱氨酸(Hcy)水平。采用SPSS19.0和MedCalc12.7统计软件分析数据。绘制受试者工作特征曲线,并分析血清NGAL的诊断效能。结果观察组患者血清NGAL水平高于健康对照组,差异有统计学意义(P<0.05)。急性缺血性脑卒中患者血清NGAL水平与hsCRP、TC、LDL-C、Hcy水平呈正相关(r=0.356,P<0.001;r=0.169,P=0.012;r=0.239,P<0.001;r=0.220,P<0.001)。二元Logistic回归分析结果显示,NGAL是影响急性缺血性脑卒中发生的风险因素(OR=1.039,P<0.001)。以141.0 mg/L为最佳临界值,血清NGAL预测急性缺血性脑卒中的灵敏度和特异度分别为63.1%和85.9%,受试者工作特征曲线下面积为0.81。结论NGAL是预测急性缺血性脑卒中的生物标志物。

Objective To investigate the clinical value of serum neutrophil gelatinase associated lipocalin(NGAL)in predicting acute ischemic stroke.Methods A total of 222 patients with acute ischemic stroke admitted to the hospital from January to December 2019 were selected as the observation group,and 156 healthy people in the same period were selected as the healthy control group.The serum levels of NGAL,high-sensitivity C-reactive protein(hsCRP),total cholesterol(TC),triacylglycerol(TG),high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C)and homocysteine(Hcy)were detected.SPSS19.0 and MedCalc12.7 were used to process the data.The receiver operating characteristic curve was drawn and the diagnostic efficacy of serum NGAL was analyzed.Results Serum NGAL in the observation group was significantly higher than that in healthy control group(P<0.05).Serum NGAL was positively correlated with hsCRP,TC,LDL-C and Hcy(r=0.356,P<0.001;r=0.169,P=0.012;r=0.239,P<0.001;r=0.220,P<0.001).Binary Logistic regression analysis showed that NGAL was a risk factor for acute ischemic stroke(OR=1.039,P<0.001).Taking 141.0 mg/L as the optimal critical value,the sensitivity and specificity of serum NGAL in predicting acute ischemic stroke were 63.1%and 85.9%,respectively,the area under the receiver operating characteristic curve was 0.81.Conclusion NGAL is a biomarker for predicting acute ischemic stroke.