目的:评估心力衰竭(HF)患者血浆甲状旁腺素(PTH)浓度与房颤(AF)发生的相关性。方法:研究对象为131例HF患者,根据医院心电图将患者分为心律正常组(n = 95)和AF组(n = 36)。比较两组患者基线及临床特征。采用逻辑回归分析确定AF的影响因...目的:评估心力衰竭(HF)患者血浆甲状旁腺素(PTH)浓度与房颤(AF)发生的相关性。方法:研究对象为131例HF患者,根据医院心电图将患者分为心律正常组(n = 95)和AF组(n = 36)。比较两组患者基线及临床特征。采用逻辑回归分析确定AF的影响因素。采用ROC曲线分析确定PTH预测AF的最佳临界值。结果:AF患者血浆PTH浓度高于心律正常患者(P P P P Objective: To analyze the relationship between plasma parathyroid hormone (PTH) concentrations and atrial fibrillation (AF) in patients with heart failure (HF). Methods: A total of 131 patients with HF were enrolled in this study. According to the electrocardiogram, the patients were divided into normal rhythm group (n = 95) and AF group (n = 36). The baseline and clinical characteristics of the two groups were compared. Logistic regression analysis was used to determine the influencing factors of AF. ROC curve analysis was used to determine the optimal cut-off value of PTH for predicting AF. Results: The plasma PTH concentration was higher in AF patients than in normal rhythm patients (P P P P < 0.05). ROC curve analysis showed that the optimal cut-off value of PTH for the diagnosis of AF was ≥68.2 pg/ml, with a sensitivity of 44.2% and a specificity of 83.3%. Conclusion: There was a positive correlation between plasma PTH concentration and the occurrence of atrial fibrillation (AF) in HF patients.展开更多
文摘目的:评估心力衰竭(HF)患者血浆甲状旁腺素(PTH)浓度与房颤(AF)发生的相关性。方法:研究对象为131例HF患者,根据医院心电图将患者分为心律正常组(n = 95)和AF组(n = 36)。比较两组患者基线及临床特征。采用逻辑回归分析确定AF的影响因素。采用ROC曲线分析确定PTH预测AF的最佳临界值。结果:AF患者血浆PTH浓度高于心律正常患者(P P P P Objective: To analyze the relationship between plasma parathyroid hormone (PTH) concentrations and atrial fibrillation (AF) in patients with heart failure (HF). Methods: A total of 131 patients with HF were enrolled in this study. According to the electrocardiogram, the patients were divided into normal rhythm group (n = 95) and AF group (n = 36). The baseline and clinical characteristics of the two groups were compared. Logistic regression analysis was used to determine the influencing factors of AF. ROC curve analysis was used to determine the optimal cut-off value of PTH for predicting AF. Results: The plasma PTH concentration was higher in AF patients than in normal rhythm patients (P P P P < 0.05). ROC curve analysis showed that the optimal cut-off value of PTH for the diagnosis of AF was ≥68.2 pg/ml, with a sensitivity of 44.2% and a specificity of 83.3%. Conclusion: There was a positive correlation between plasma PTH concentration and the occurrence of atrial fibrillation (AF) in HF patients.
