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AIM: To explore the relationship between serum sodium concentration and coronary atherosclerosis. METHODS: The study population consisted of 896 consecutive patients (684 males and 212 females) who underwent coronary angiography for suspected or known coronary atherosclerosis. Smoking and drinking were investigated. The anthropometric measurements, including body mass index, systolic blood pressure and diastolic blood pressure, and the serum measurements, including sodium, potassium, chlorine, lipids, blood glucose, urea, creatinine, and uric acid for every patient were conducted. The severity of coronary atherosclerosis was defined by the Gensini score system. The statistical methods, including one-way ANOVA, Kruskal-Wallis test, Spearman correlation analysis, partial correlation analysis, multivariate stepwise linear regression analysis, and multinomial logistic regression analysis were employed to explore the relationship between serum sodium concentration and the Gensini score. RESULTS: The analysis of the Kruskal-Wallis test indicated that the distribution of the Gensini score (P=0.000) differed among the groups according to serum sodium concentration, quartile values of which were used as cut-off points. The Spearman correlation and partial correlation analysis controlling for gender, smoking status, and drinking status indicated that the Gensini score significantly correlated with the sodium concentration (r=-0.241, P=0.000 for the Spearman correlation, r=-0.114, P=0.000 for the partial correlation). The results from the multivariate stepwise linear regression analysis showed that the left ventricular ejection fraction (beta=-0.228, P=0.000), age (beta=0.137, P=0.010), glucose level (beta=0.129, P=0.000), and sodium level (beta=-0.106, P=0.004) were significantly and independently associated with the Gensini score. The results of the multinomial logistic regression analysis suggested that the hyponatremia was the risk factor for the higher Gensini score. CONCLUSION: The serum sodium concentration was significantly and negatively associated with the Gensini score; and the actual mechanism underlying the association needs further study.  相似文献   
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目的 探究血清微小RNA(miR)-33、miR-122水平与冠心病病人Gensini积分的相关性.方法 以随机抽签法选取2014年1月至2015年12月在南阳市第一人民医院行冠脉造影术的200例冠心病病人为冠心病组,并根据病变涉及冠脉支数将其分成单支、2支、3支病变组,Gensini评分计算冠脉病变严重程度;另外对照组120例.采用实时荧光定量逆转录聚合酶链反应(qRT-PCR)检测冠心病组和对照组血清中miR-33和miR-122表达水平,采用Pearson分析法分析血清miR-33和miR-122水平与Gensini积分的相关性,采用logistic多重回归分析冠心病发生的危险因素.结果 与对照组相比,冠心病组病人在年龄、性别、腰臀比、血清肌酐异常和冠心病家族史方面无差异(P>0.05),冠心病组病人吸烟情况、高血压病史、糖尿病病史比例均显著高于对照组(P<0.05),血清三酰甘油、低密度脂蛋白胆固醇(LDL)水平、血清中miR-33、miR-122水平显著上调(P<0.05);冠心病组中,2支组、3支组miR-33水平分别为(0.48±0.07)、(0.62±0.13),miR-122水平分别为(5.19±0.32)、(5.63±0.24),Gensini积分分别为(22.49±7.03)分、(65.57±15.32)分,均较单支组(0.37±0.04)、(4.89±0.56)、(9.43±3.68)分显著升高(P<0.001),且均随病变支数增加而增加,两两比较差异有统计学意义(P<0.001);Pearson结果 显示,miR-33、miR-122水平与冠心病病人Gensini积分均呈正相关(r=0.706、0.458,P<0.05);logistic回归结果 显示,血清LDL含量、miR-33、miR-122水平及年龄是冠心病的独立危险因素(OR=1.862,95%CI:1.359~2.57;OR=4.157,95%CI:2.597~6.654;OR=4.196,95%CI:2.362~7.453,OR=1.824,95%CI:1.213~2.454).结论 血清miR-33、miR-122水平是评价冠心病的独立危险因素,miR-33、miR-122水平均随着Gensini积分增加而增加,可能与冠心病严重程度有关.  相似文献   
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