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韩炳江.高迁移率蛋白-1用于评估及预测急性冠脉综合征危险[J].浙江中西医结合杂志,2017,27(3):
高迁移率蛋白-1用于评估及预测急性冠脉综合征危险
Effects of high mobility protein -1 to evaluate and predict the risk of acute coronary syndrome.Han Bingjiang, Jang Liqin Department of Cardiology, Jiaxing Second Hospital
投稿时间:2016-07-25  修订日期:2017-01-20
DOI:
中文关键词:  急性冠脉综合征  高迁移率蛋白-1  生存分析
英文关键词:acute coronary syndrome  high mobility protein -1  survival analysis
基金项目:
作者单位E-mail
韩炳江* 嘉兴市第二医院 yesterdaygun@126.com 
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中文摘要:
      目的 探讨HMGB1在不同类型冠心病中的表达及意义,以以及对冠心病预后的预测作用。方法 收集237例住院冠心病病人,分为心肌梗死组、不稳定性心绞痛组、稳定性心绞痛组、稳定性心绞痛组。并且选取80例造影阴性患者作为对照组。采用ELISA 法检测血清HMGB1水平, 同时检测各组生化指标, 如空腹血糖、TC、FBG、LDL-C、HDL-C 等。结果 急性心肌梗死组、不稳定型心绞痛组、稳定性心绞痛组中血清HMGB1浓度均高于对照组,其中心肌梗死组最高;logistic 多元逐步分析显高HMGB1浓度与ACS 发生独立相关。生存曲线显示HMGB1表达越高,死亡风险越大。结论 血清HMGB1可能是评估冠心病的新的独立危险因素, 可能与ACS 的发生有关,并且可以预测死亡率。
英文摘要:
      Objective To investigate the expression and significance of HMGB1 in different types of coronary heart disease, and to predict the prognosis of coronary heart disease.Method 237 cases of hospitalized patients with coronary artery disease were collected and divided into myocardial infarction group, stable angina pectoris (SAP) group, stable angina pectoris (SAP) group, stability angina group. And 80 cases of patients with angiographically normal were selected as control group. The serum level of HMGB1 was detected by The ELISA method and biochemical indicators, such as fasting blood glucose, total cholesterol (TC), FBG, LDL-C, HDL-C were also detected .Results Serum HMGB1 concentration in acute myocardial infarction, unstable angina pectoris group, stable angina pectoris group were higher than those of the control group, which myocardial infarction group was the highest; multivariate logistic gradually analysis significantly high HMGB1 concentration with ACS independently associated. The survival curve showed that the expression of HMGB1 is higher, the greater the risk of death.Conclusions Serum HMGB1 may be evaluation of the coronary heart disease of new independent risk factors, may be related to the occurrence of ACS, and can predict mortality.
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