Applicative Cardiovascular Research Center (ACRC) and Department of Cardiology, Meir Medical Center, Kfar Saba, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Clin Physiol Funct Imaging. 2020 Nov;40(6):423-433. doi: 10.1111/cpf.12661. Epub 2020 Sep 19.
Dyslipidemia is associated with autonomic nervous system (ANS) dysfunction. Heart rate variability (HRV) is a powerful tool for evaluating the ANS and for cardiovascular risk stratification. Yet, the methodologies used are impractical in most clinical settings and therefore, are usually not applied. The current study aimed to evaluate the reliability of ultra-short HRV parameters, which are easily calculated from any standard ECG, as a practical method for ANS study, with a focus on patients with dyslipidemia. Fifty-nine volunteers with dyslipidemia underwent HRV study of parametric and power spectral indices according to accepted methods. Correlations were calculated between ultra-short HRV indices (five 1-min and five 10-s segments) and standard 5-min recordings. Correlations were found between 10-s and 1-min RMSSD and 5-min recordings (mean Pearson ρ correlation coefficients of 0.913 and 0.944, respectively, and mean concordance correlation coefficients of 0.855 and 0.938, respectively). Associations were found between other ultra-short HRV parameters (SDNN, maximum RR, minimum RR, pNN50, ln(RMSSD) and 5-min recordings. In addition, average RR, HRV-TI, NN50, TP, LF/HF, ln(SDNN), ln(HRV-TI), ln(TP) and ln(LF/HF) from 1-min recordings were associated with 5-min values. In conclusion, some ultra-short HRV parameters can be used for ANS evaluation and presumably, for cardiovascular risk stratification among patients with dyslipidemia. These parameters seem to be of great practical value for both inpatient and outpatient settings, because most can be calculated from a standard 10-s ECG strip. The prognostic implications of ECG-derived, ultra-short HRV parameters in patients with dyslipidemia should be further evaluated in future studies.
血脂异常与自主神经系统（ANS）功能障碍有关。心率变异性（HRV）是评估 ANS 和心血管风险分层的有力工具。然而，在大多数临床环境中，所使用的方法并不实用，因此通常不适用。本研究旨在评估超短 HRV 参数的可靠性，这些参数可以从任何标准心电图中轻松计算，作为 ANS 研究的实用方法，重点关注血脂异常患者。59 名血脂异常志愿者根据公认的方法进行 HRV 研究，包括参数和功率谱指数。计算了超短 HRV 指数（5 个 1 分钟和 5 个 10 秒段）与标准 5 分钟记录之间的相关性。发现 10 秒和 1 分钟 RMSSD 与 5 分钟记录之间存在相关性（平均 Pearson ρ 相关系数分别为 0.913 和 0.944，平均一致性相关系数分别为 0.855 和 0.938）。其他超短 HRV 参数（SDNN、最大 RR、最小 RR、pNN50、ln（RMSSD）与 5 分钟记录之间存在相关性。此外，1 分钟记录的平均 RR、HRV-TI、NN50、TP、LF/HF、ln（SDNN）、ln（HRV-TI）、ln（TP）和 ln（LF/HF）与 5 分钟值相关。总之，一些超短 HRV 参数可用于评估 ANS，并且可能用于血脂异常患者的心血管风险分层。这些参数对于住院和门诊环境似乎具有重要的实用价值，因为大多数参数可以从标准的 10 秒心电图条中计算得出。在未来的研究中，应进一步评估心电图衍生的超短 HRV 参数在血脂异常患者中的预后意义。
