目的 探讨心房颤动(房颤)患者血清mi R-133a和mi R-150表达水平及临床意义.方法 选取73例房颤患者(阵发性房颤21例、持续性房颤28例、永久性房颤24例)为研究对象,25例健康体检者作为对照组,采用q RT-PCR技术检测血清mi R-133a和mi R-150表达水平.同时结合相关血清指标,利用Pearson法分析mi R-133a和mi R-150与血清其他指标相关性.采用ROC曲线分析mi R-133a、mi R-150以及二者联合检测诊断房颤的价值.Logistic回归分析影响房颤相关因素.结果 与对照组比,房颤患者血清mi R-133a水平显著升高(P＜0.05),mi R-150水平显著降低(P＜0.05).阵发性房颤、持续性房颤和永久性房颤三组间mi R-133a和mi R-150两两比较,差异也均有显著性(P＜0.05).Pearson相关性分析结果显示,房颤患者血清mi R-133a与高敏C反应蛋白(hs-CRP)、左心房内径(LAD)、基质金属蛋白酶-9(MMP-9)呈正相关(P＜0.05),与左室射血分数(LVEF)呈负相关(P＜0.05);mi R-150与hs-CRP、左心房内径、MMP-9呈负相关(P＜0.05),与LVEF呈正相关(P＜0.05).与mi R-133a、mi R-150单独诊断相比,二者联合诊断的灵敏度、特异度以及ROC曲线下面积(AUC)均显著提高(P＜0.05).Logistic回归分析结果显示mi R-133a和mi R-150也是影响房颤的相关因素.结论 心房颤动患者血清mi R-133a和mi R-150异常表达,可能参与房颤发生和发展,可用作辅助诊断房颤和预后判断的指标.
To investigate the expression and clinical significance of serum mi R-133a and mi R-150 in patients with atrial fibrillation (AF). Methods 73 patients with atrial fibrillation (21 cases of paroxysmal atrial fibrillation, 28 cases of persistent atrial fibrillation, 24 cases of permanent atrial fibrillation) were selected as the study subjects, 25 healthy people were taken as control, the expression levels of serum mi R-133a and mi R-150 were detected by q RT-PCR. At the same time, Pearson method was used to analyze the correlations between mi R-133a and mi R-150 with other serum indicators. ROC curve was used to analyze the values of mi R-133a, mi R-150, and their combination in the diagnosis of atrial fibrillation. Logistic regression analysis was used to analyze the influencing factors of atrial fibrillation. Results Compared with the control group, the level of serum mi R-133a in patients with atrial fibrillation was significantly higher (P＜0.05), and the level of mi R-150 was significantly lower (P＜0.05). There were also significant differences between paroxysmal atrial fibrillation, persistent atrial fibrillation, and permanent atrial fibrillation (P＜0.05). Pearson correlation analysis showed that serum mi R-133a was positively correlated with hs-CRP, left atrial diameter, and MMP-9 in patients with atrial fibrillation (P＜0.05), and negatively correlated with LVEF (P < 0.05). Mi R-150 was negatively correlated with hs-CRP, left atrial diameter, and MMP-9 (P＜0.05), and positively correlated with LVEF (P＜0.05). Compared with the single diagnoses of mi R-133a and mi R-150, the sensitivity, specificity, and area under ROC curve (AUC) of the combined diagnosis were significantly improved (P < 0.05). Logistic regression analysis showed that mi R-133a and mi R-150 were also factors affecting atrial fibrillation. Conclusion The expressions of serum mi R-133a and mi R-150 in patients with atrial fibrillation are abnormal, it may be involved in the occurrence and development of atrial fibrillation, and can be used as assistant indexes for diagnosis of atrial fibrillation and prognosis judgment.