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Cardiac autonomic neuropathy evaluated by time asymmetric analysis for heart rate variability in patients with peritoneal dialysis

机译:通过时间不对称分析评估心脏自主神经病变对腹膜透析患者心率变异性的影响

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In this study we attempt to quantify the correlations between time asymmetric index (TAI) and physiological/ pathological measurements in order to predict the status of cardiac autonomic neuropathy (CAN) in patients with end-stage renal disease. The TAI can explore non-equilibrium dynamics that conventional time and frequency domain indices fail to consider. For comparing the effectiveness and applicability, traditional time-domain and frequency-domain heart rate variability (HRV) indices were also evaluated. To validate the use of TAI, this study investigates 65 DM patients (22 men and 43 women) and divides the data into two subgroups by HbAlc. The HRV indices such as PNN50 and nLF exhibit a positive correlation with CTR in HbAlc+ subgroup, while SDANN and nLHR show a positive correlation between P and Caphos, respectively. In particular, TAI exhibits a significant negative correlation with TNF-alpha, HbAlc, Caphos, and GLUAC in HbAlc+ subgroup, which overcomes the limitation that a single index can be only correlated to one measurement for conventional time-domain and frequency-domain HRV indices. These results manifest that TAI is an integrated HRV index that contains more information than traditional HRV analysis. Moreover, TAI provides a useful and quantified method in evaluation of the cardiac autonomic neuropathy in patients with ESRD. A large cohort study with TAI analysis is in need for potential cardiovascular outcome prediction.
机译:在这项研究中,我们试图量化时间不对称指数(TAI)与生理/病理测量之间的相关性,以预测终末期肾病患者的心脏自主神经病变(CAN)的状态。 TAI可以探索常规时域和频域指标无法考虑的非平衡动力学。为了比较有效性和适用性,还评估了传统的时域和频域心率变异性(HRV)指标。为了验证TAI的使用,本研究调查了65名DM患者(22名男性和43名女性),并通过HbAlc将数据分为两个亚组。 HRV指数(例如PNN50和nLF)与HbAlc +亚组的CTR呈正相关,而SDANN和nLHR分别在P和Caphos之间呈正相关。特别是,TAI与HbAlc +子组中的TNF-α,HbAlc,Caphos和GLUAC表现出显着的负相关性,克服了单一索引只能与常规时域和频域HRV指数的一项测量相关的限制。 。这些结果表明,TAI是一个综合的HRV指数,比传统的HRV分析包含更多的信息。此外,TAI为评估ESRD患者的心脏自主神经病变提供了一种有用且量化的方法。一项需要进行TAI分析的大型队列研究需要潜在的心血管预后预测。

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