摘要
目的探讨慢性失眠症状与心率变异性(HRV)指标的相关性,对慢性失眠症状进行客观化评价。方法对40例健康人、40例慢性失眠患者进行24 h动态心电监测,对比健康组及慢性失眠组各个指标,进行心率变异性非线性分析。通过比较正常组及慢性失眠组的差异,得出判断慢性失眠的有效指标,以客观、真实地实现慢性失眠的定量测评,为进一步慢性失眠不同证型的测评指标奠定基础。结果通过心率变异性(HRV)分析,对比健康组及慢性失眠组各个指标,得出:(1)慢性失眠组24 h TR(80.05±10.65)、ASD(13.21±2.79)、SD1(17.95±3.56)、SD1/SD2(0.24±0.04)均高于健康组(P<0.05);(2)慢性失眠患者Poincare散点图分析,得出:SD1/SD2值越高,越容易发生慢性失眠情况(P<0.05);(3)通过慢性失眠患者ROC曲线分析,得出入睡困难组中指标SD1/SD2的ROC曲线下面积AUC=0.705(P<0.05),利用指标SD1/SD2建立“入睡困难”的诊断模型价值高,其中敏感度为67.5%,特异性为63.4%。(4)时域指标中SDNN低于健康组(P<0.05),频域指标中VLF、LF、HF慢性失眠组均低于健康组(P<0.05)。结论HRV中TR、ASD、SD1、SD1/SD2可作为慢性失眠患者定量测评的有效指标,其中入睡困难程度与SD1/SD2的相关性最大,SD1/SD2值越高,越容易发生慢性失眠情况。时域指标中SDNN,频域指标中VLF、LF、HF也可作为有效测评慢性失眠的指标。
Objective To investigate the correlation between insomnia symptoms and heart rate variability(HRV)and evaluate the symptoms objectively.Methods Forty healthy subjects and 40 patients with chronic insomnia were monitored for 24 hours by dynamic electrocardiogram.The heart rate variability of the healthy group and the chronic insomnia group were compared by non-linear analysis.By comparing the differences between the normal group and the chronic insomnia group,the effective indicators for judging chronic insomnia were obtained,so as to objectively and truly realize the quantitative evaluation of chronic insomnia,and lay the foundation for further evaluation indicators of different syndrome types of chronic insomnia.Results By analyzing the heart rate variability(HRV)and comparing the data of the healthy group and the insomnia group,the results showed that the 24-HOUR TR(80.05±10.65)、ASD(13.21±2.79)、SD1(17.95±3.56)、SD1/SD2(0.24±0.04)in the insomnia group were higher than those in the healthy group(P<0.05).The results of Poincare scatter plot analysis showed that the higher SD1/SD2 value was,the more likely insomniawould occur(P<0.05).According to ROC curve analysis of patients with insomnia,the area under ROC curve of SD1/SD2 was AUC=0.705(P<0.05),SD1/SD2was of high value in establishing the diagnostic model of sleeping difficulty.The sensitivity was 67.5%,the specificity was 63.4%,and SDNN was lower than that ofthe healthy group(P<0.05),the frequency domain indexes of VLF,LF and HF in insomnia group were lower than those of healthy group(P<0.05).Conclusion TR,ASD,SD1 and SD1/SD2 in HRV can be used as effective indexes for quantitative evaluation of patients with insomnia,among which,the degree of difficulty in falling asleep has the greatest correlation with SD1/SD2.The higher the SD1/SD2 value is,the more likely the patients will have insomnia.SDNN in time domain,VLF,LF and HF in frequency domain can also be used as effective indexes for evaluation of insomnia.
作者
武晟竹
郭莹
王红艳
WU Shengzhu;GUO Ying;WANG Hongyan(School of Sports Medicine and Rehabilitation,Shandong First Medical University,Taian,271000,Shandong,China;School of Sports Medicine and Rehabilitation,Shandong First Medical University,Jinan,250000,Shandong,China)
出处
《新疆医学》
2022年第12期1396-1400,共5页
Xinjiang Medical Journal
基金
国家自然科学基金(项目编号:81202620)
山东第一医科大学大学生创新创业项目(项目编号:S201910439104)
山东省中医药科技发展计划项目(项目编号:2019-0363)
作者简介
武晟竹,女,在读硕士,研究方向:运动康复;通信作者:王红艳,女,博士,教授,硕士研究生导师,研究方向:运动康复中医与康复,E-mail:wwhyonlyone@163.com。
