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腹膜透析患者的心率复杂性与腹主动脉钙化严重程度之间的关系。

The association between heart rhythm complexity and the severity of abdominal aorta calcification in peritoneal dialysis patients.

机构信息

Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.

Center for Dynamical Biomarkers and Translational Medicine, National Central University, Chungli, Taiwan.

出版信息

Sci Rep. 2018 Oct 23;8(1):15627. doi: 10.1038/s41598-018-33789-x.

Abstract

Abdominal aorta calcification (AAC) has been associated with clinical outcomes in peritoneal dialysis (PD) patients. Heart rhythm complexity analysis has been shown to be a promising tool to predict outcomes in patients with cardiovascular disease. In this study, we aimed to analyze the association between heart rhythm complexity and AAC in PD patients. We prospectively analyzed 133 PD patients. Heart rhythm complexity including detrended fluctuation analysis and multiscale entropy was performed. In linear analysis, the patients in the higher AAC group (AAC ≥15%) had a significantly lower standard deviation of normal RR intervals, very low frequency, low frequency, high frequency and low/high frequency ratio. In non-linear analysis, DFAα1, slope 1-5, scale 5 and area 6-20 were significantly lower in the patients with higher AAC. Receiver operating characteristic curve analysis showed that DFAα1 had the greatest discriminatory power to differentiate these two groups. Multivariate logistic regression analysis showed that DFAα1 and HbA1c were significantly associated with higher AAC ratio. Adding DFAα1 significantly improved the discriminatory power of the linear parameters in both net reclassification improvement and integrated discrimination improvement models. In conclusion, DFAα1 is highly associated with AAC and a potential cardiovascular marker in PD patients.

摘要

腹主动脉钙化(AAC)与腹膜透析(PD)患者的临床结局相关。心率复杂度分析已被证明是预测心血管疾病患者预后的有前途的工具。在这项研究中,我们旨在分析 PD 患者的心率复杂度与 AAC 之间的关系。我们前瞻性分析了 133 名 PD 患者。进行了心率复杂度分析,包括去趋势波动分析和多尺度熵。在线性分析中,AAC 较高组(AAC≥15%)的患者正常 RR 间隔的标准差、极低频、低频、高频和低/高频比显著降低。在非线性分析中,DFAα1、斜率 1-5、尺度 5 和区域 6-20 在 AAC 较高的患者中显著降低。受试者工作特征曲线分析表明,DFAα1 具有区分这两组的最大判别能力。多变量逻辑回归分析表明,DFAα1 和 HbA1c 与较高的 AAC 比值显著相关。添加 DFAα1 显著提高了线性参数在净重新分类改善和综合鉴别改善模型中的判别能力。总之,DFAα1 与 AAC 高度相关,是 PD 患者潜在的心血管标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e21/6199249/268c91928869/41598_2018_33789_Fig1_HTML.jpg

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