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基于hs-CRP、HMGB1及Myo的急性冠脉综合征诊断预测模型构建
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  • 英文篇名:Establishment of predictive model for acute coronary syndrome based on Hs-CRP,HMGB1 and Myo
  • 作者:崔丽 ; 刘颖 ; 丛新鹏 ; 方明 ; 宁忠平 ; 李新明
  • 英文作者:CUI Li;LIU Ying;Cong Xin-peng;Fang Ming;Ning Zhong-ping;Li Xin-ming;Dept. Cardiology,Zhoupu Hospital,Shanghai University of Medicine & Health Sciences;
  • 关键词:超敏C-反应蛋白 ; 高迁移率族蛋白1 ; 肌红蛋白 ; 急性冠脉综合征 ; 预测
  • 英文关键词:high sensitivity;;high-mobility group box-1;;myoglobin;;acute coronary syndrome;;prediction
  • 中文刊名:TJIY
  • 英文刊名:Journal of Tongji University(Medical Science)
  • 机构:上海健康医学院附属周浦医院心血管内科;
  • 出版日期:2018-12-15
  • 出版单位:同济大学学报(医学版)
  • 年:2018
  • 期:v.39
  • 基金:上海市自然科学基金项目(15ZR1437300);; 上海市卫生和计划生育委员会科研课题(201540116);; 上海市浦东新区科委创新基金项目(PKJ2014-Y31);; 上海市浦东新区卫计委优青人才(PWRq2014-34)
  • 语种:中文;
  • 页:TJIY201806021
  • 页数:5
  • CN:06
  • ISSN:31-1901/R
  • 分类号:103-107
摘要
目的探讨急性冠脉综合征(acute coronary syndromes,ACS)患者不同心肌标志物水平变化以及联合多种心肌志记物对ACS的预测作用。方法选取ACS患者100例,对照组89例,分别检测血清中血脂常规生化指标;心肌损伤标志物包括肌酸激酶同工酶(Creatine kinase isoenzyme,CK-MB)、肌钙蛋白T(troponin T,TnT)、肌红蛋白(myoglobin,Myo)、超敏肌钙蛋白T(hypersensitive troponin,hs-TnT)、脑钠肽(brain natriuretic peptide,BNP);炎症因子包括高迁移率族蛋白1(high mobility group box-1 protein,HMGB1)、超敏C-反应蛋白(high sensitive C-reactive protein,hs-CRP);白细胞(white blood cell,WBC);中性粒细胞百分比以及空腹血糖水平,并比较两组之间的差异。结果 ACS组患者血清中BNP、CK-MB、TnT、Myo、hs-CRP、hs-TnT、以及HMGB1水平均高于对照组(P<0. 05); hsCRP、HMGB1联合Myo构建模型对ACS测试集数据进行诊断预测,阴性预测率为81. 82%,阳性预测率为95. 24%,AUC为0. 906 3; hs-CRP、HMGB1与CK-MB为ACS发生的危险因素,OR分别为1. 95(95%CI:1. 32~2. 55)、7. 44(95%CI:6. 51~8. 14)与3. 51(95%CI:2. 33~4. 59); Myo为ACS发生的保护因素,OR为0. 17(95%CI:0. 10~0. 35)。结论血清hs-CRP、HMGB1与Myo构建预测模型有助于对ACS患者的早期诊断。
        Objective To establish a predictive model for acute coronary syndrome( ACS) based on Hs-CRP,HMGB1 and Myo. Methods One hundred ACS patients( ACS group) and 89 healthy subjects( control group) were enrolled in the study. Blood lipids( TC,TG,HDL and LDL),myocardial injury markers( CK-MB, TnT, Myo, hs-TnT and BNP), inflammatory factors( HMGB1 and hs-CRP),polymorphic particles and fasting blood glucose levels were measured and compared between two groups.Logistic regression was used to establish a predictive model for ACS. Results The CK-MB,TnT,Myo,hs-TnT,HMGB1,BNP and hs-CRP levels in ACS group were significantly higher than those in control group( P < 0. 05). Logistic regression analysis showed that hs-CRP,HMGB1 and CK-MB were the risk factors for ACS( OR = 1. 95,95% CI: 1. 32-2.55; OR = 7. 44,95% CI: 6. 51-8. 14; OR = 3. 51,95% CI:2. 33-4. 59),and Myo was the protective factor of ACS( OR = 0. 17,95%CI: 0. 10-0. 35). A predictive model was established based on hs-CRP,HMGB1 and Myo. The area under curve( AUC) of the model was 0. 906 3,and the positive predictive value and the negative predictive value were 95. 24% and81. 82%,respectively. Conclusion Serum hs-CRP,HMGB1 and Myo are of value in early diagnosis of patients with acute coronary syndrome.
引文
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