Yoo Cheol Seung, Lee Kayoung, Yi Sang Hoon, Kim Jun-Su, Kim Hee-Cheol
School of Computer Aided Science & Institute of Basic Science, Inje University, Gimhae, Korea.
Korean J Fam Med. 2011 Sep;32(6):334-40. doi: 10.4082/kjfm.2011.32.6.334. Epub 2011 Sep 28.
The aim of this study was to investigate the relationship between heart rate variability (HRV), the Framingham risk score (FRS), and the 10-year risk of coronary heart disease (CHD) development among Korean adults.
The subjects were 85 healthy Korean adults recruited from a health check-up center. The FRS and 10-year risk of CHD development were calculated.
The FRS in men was inversely correlated with the standard deviation of all normal to normal RR-intervals (SDNN); the root mean square successive difference (RMSSD); the percentage of successive normal cardiac inter-beat intervals greater than 20 ms, 30 ms, and 50 ms (pNN20, pNN30, pNN50); the low frequency (LF); and the high frequency (HF) (P < 0.05). There was no significant relationship between the FRS and HRV in women. Overall, in the receiver operating characteristic (ROC) analysis, the RMSSD, HF, SDNN, LF, LF/HF ratio, and pNN30 predicted an increased 10-year CHD risk. After adjusting for sex and body mass index, those with greater than one standard deviation in the RMSSD, HF, and LF had a 52-59% reduction in their 10-year risk of CHD development ≥ 10%.
This study therefore indicates that the HRV indices, particularly SDNN, RMSSD, pNN30, LF, and HF may be useful parameters for the assessment of CHD risk. Most notably, the usefulness of these HRV measures as indicators for CHD risk evaluation may be greater among men than among women.
本研究旨在调查韩国成年人的心率变异性（HRV）、弗雷明汉风险评分（FRS）与冠心病（CHD）发病10年风险之间的关系。
研究对象为从健康体检中心招募的85名健康韩国成年人。计算FRS和CHD发病10年风险。
男性的FRS与所有正常RR间期的标准差（SDNN）、逐次差值的均方根（RMSSD）、逐次正常心搏间期大于20毫秒、30毫秒和50毫秒的百分比（pNN20、pNN30、pNN50）、低频（LF）和高频（HF）呈负相关（P<0.05）。女性的FRS与HRV之间无显著关系。总体而言，在受试者工作特征（ROC）分析中，RMSSD、HF、SDNN、LF、LF/HF比值和pNN30预测CHD发病10年风险增加。在调整性别和体重指数后，RMSSD、HF和LF大于一个标准差的人群CHD发病10年风险降低52%-59%≥10%。
因此，本研究表明HRV指标，特别是SDNN、RMSSD、pNN30、LF和HF可能是评估CHD风险的有用参数。最值得注意的是，这些HRV测量值作为CHD风险评估指标在男性中的有用性可能高于女性。
