LP-PLA2、hs-CRP、NLR预测动脉粥样硬化性脑梗死后患者预后转归的临床价值
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  • 英文篇名:Clinical value of LPPLA2,hs CRP and NLR in predicting the prognosis of patients with atherosclerotic cerebral infarction
  • 作者:周锦霞 ; 郑丽芳 ; 胡倩 ; 黄永谦 ; 魏波华
  • 英文作者:ZHOU Jinxia;ZHENG Lifang;HU Qian;Department of Neurology,Puren Hospital Affiliated to Wuhan Science and Technology University;
  • 关键词:动脉粥样硬化性脑梗死 ; 超敏C-反应蛋白 ; 血浆脂蛋白相关磷脂酶A2 ; 中性粒细胞与淋巴细胞比值
  • 英文关键词:atherosclerotic cerebral infarction;;high-sensitivity C-reactive protein;;plasma lipoprotein-related phospholipase A2;;neutrophil-lymphocyte ratio
  • 中文刊名:HBYZ
  • 英文刊名:Hebei Medical Journal
  • 机构:武汉科技大学附属普仁医院神经内科;湖北省武汉市中心医院神经内科;
  • 出版日期:2019-02-10
  • 出版单位:河北医药
  • 年:2019
  • 期:v.41
  • 基金:武汉市临床医学科研项目(编号:WX7Z05)
  • 语种:中文;
  • 页:HBYZ201903013
  • 页数:5
  • CN:03
  • ISSN:13-1090/R
  • 分类号:60-64
摘要
目的探讨动脉粥样硬化性脑梗死患者预后复发及死亡的危险因素,选取预测价值较高的指标。方法选取就诊的动脉粥样硬化性脑梗死患者107例为研究对象,记录其基线资料及检测指标,根据病情进行治疗。出院后对所有患者进行为期2年的随访,根据随访结果,将出现不良事件的患者定义为不良组,其余患者定义为对照组。单因素、多因素Cox回归分析动脉粥样硬化性脑梗死患者预后不良的独立影响因素; ROC曲线显示各因素评估动脉粥样硬化性脑梗死患者预后风险的预测价值。结果随访结束时,发生脑梗复发或死亡的患者26例(不良组),其预后不良率为27%; Cox回归提示患者高血压(P=0. 037)、糖尿病(P=0. 042)、狭窄程度(P=0. 028)是患者预后不良的独立影响因素。检测指标LP-PLA2、NLR、hs-CRP亦可影响患者预后,差异有统计学意义(P <0. 05); ROC曲线提示LP-PLA2、hs-CRP、NLR的AUC分别为0. 758、0. 605、0. 714。NLR联合LP-PLA2的AUC为0. 773,高于三指标单独诊断。结论高血压、糖尿病、狭窄程度是动脉粥样硬化性脑梗死患者预后不良的独立影响因素,检测指标LP-PLA2联合NLR在评估动脉粥样硬化性脑梗死患者预后风险方面具有良好预测能力,有望作为临床常规评估指标。
        Objective To explore the risk factors related with relapse and death in patients with atherosclerotic cerebral infarction( ACI),and to select the indexes with higher predictive value. Methods A total of 107 patients with ACI who were treated in our hospital were enrolled in the study. The baseline data and detection indexes of patients were recorded and the patients were treated according to disease conditions. Moreover,all patients were followed up for 2 years after discharging from hospital. The patients with adverse events were defined as abnormal group,however,the rest patients were defined as control group. The univariate and multivariate Cox regression analysis were used to analyze the independent influencing factor affecting patient's prognosis. In addition,the ROC curve was used to evaluate the prognosis risk of the patients. Results At the end of follow up,26 patients in abnormal group had cerebral infarction relapse or died,with poor prognosis rate being 27%. Cox regression showed hypertension( P = 0. 037),diabetes( P = 0. 042) and degree of stenosis( P = 0. 028) were the independent influencing factors of poor prognosis. And the prognosis could also be affected by the detection indexes including LPPLA2,NLR,and hs CRP( P < 0. 05). Moreover,ROC curve showed the AUC of LPPLA2,hs CRP,and NLR were 0. 758,0. 605,0. 714,respectively. In addition the AUC of NLR combined with LPPLA2 was 0. 773,which was higher than that of single diagnosis by the other three indexes. Conclusion The hypertension,diabetes,and stenosis degree are independent influencing factors of poor prognosis in patients with ACI,and LP-PLA2 combined with NLR is very effective in evaluating the prognosis of patients.
引文
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