Research Center for Biomedical Engineering, Medical Innovation & Research Division, Chinese PLA General Hospital, Fuxing Road, Beijing, 100853, China.
Medical Big Data Center, Medical Innovation & Research Division, Chinese PLA General Hospital, Fuxing Road, Beijing, 100853, China.
BMC Nephrol. 2020 Dec 9;21(1):536. doi: 10.1186/s12882-020-02196-8.
Heart rhythm complexity, a measure of heart rate dynamics and a risk predictor in various clinical diseases, has not been systematically studied in patients with end-stage renal disease. The aim of this study is to investigate the heart rhythm complexity and its prognostic value for mortality in end-stage renal disease patients undergoing hemodialysis.
To assess heart rhythm complexity and conventional heart rate variability measures, 4-h continuous electrocardiography for a retrospective cohort of 202 ostensibly healthy control subjects and 51 hemodialysis patients with end-stage renal disease were analyzed. Heart rhythm complexity was quantified by the complexity index from the measurement of the multiscale entropy profile.
During a follow-up of 13 months, 8 people died in the patient group. Values of either traditional heart rate variability measurements or complexity indices were found significantly lower in patients than those in healthy controls. In addition, the complexity indices (Area 1-5, Area 6-15 and Area 6-20) in the mortality group were significantly lower than those in the survival group, while there were no significant differences in traditional heart rate variability parameters between the two groups. In receiver operating characteristic curve analysis, Area 6-20 (AUC = 0.895, p < 0.001) showed the strongest predictive power between mortality and survival groups.
The results suggest that heart rhythm complexity is impaired for patients with end-stage renal disease. Furthermore, the complexity index of heart rate variability quantified by multiscale entropy may be a powerful independent predictor of mortality in end-stage renal disease patients undergoing hemodialysis.
心率动力学的度量——心律复杂度,是各种临床疾病的风险预测因子,但在终末期肾病患者中尚未得到系统研究。本研究旨在探讨接受血液透析的终末期肾病患者的心律复杂度及其对死亡率的预后价值。
为评估心律复杂度和传统心率变异性指标,我们对 202 名看似健康的对照受试者和 51 名接受血液透析的终末期肾病患者的 4 小时连续心电图进行了回顾性队列分析。通过多尺度熵谱测量来量化心律复杂度。
在 13 个月的随访期间,患者组有 8 人死亡。与健康对照组相比,患者的传统心率变异性测量值或复杂度指数均显著降低。此外,死亡组的复杂度指数(Area 1-5、Area 6-15 和 Area 6-20)明显低于存活组,而两组之间的传统心率变异性参数无显著差异。在受试者工作特征曲线分析中,Area 6-20(AUC=0.895,p<0.001)在死亡率和存活率组之间具有最强的预测能力。
结果表明,终末期肾病患者的心律复杂度受损。此外,多尺度熵量化的心率变异性复杂度指数可能是血液透析终末期肾病患者死亡率的有力独立预测因子。