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Combination of Ewing test, heart rate variability, and heart rate turbulence analysis for early diagnosis of diabetic cardiac autonomic neuropathy

机译:结合尤因测试,心率变异性和心率湍流分析来早期诊断糖尿病性心脏自主神经病

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The aim of this study was to compare and analyze Ewing test, heart rate variability (HRV), and heart rate turbulence (HRT) in the diagnosis of cardiac autonomic neuropathy (CAN) in diabetic patients. Ninety diabetic patients (age 18–78) and 20 nondiabetic control subjects were studied. Standard Ewing test and 24-hour Holter was performed in all participants to evaluate CAN. Patients with Ewing score ≥2 were classified as CAN+. The rate of CAN+ in diabetic patients [44.4% (40/90)] was higher than that in the controls [5% (1/20)] ( P < .05). Using the HRV analysis and HRT analysis, rates of CAN+ in diabetic patients were 56.67% (51/90) and 52.22% (47/90), respectively. SD of all normal-to-normal (NN) intervals (SDNN), SD of the average NN intervals calculated over 5-minute periods of the entire recording (SDANN), low frequency power (LF), and turbulence slope (TS) were significantly correlated negatively with Ewing scores. TS ( r = ?0.68, P < .05) and SDNN ( r = ?0.58, P < .05) had the strongest correlation with Ewing scores among relevant factors. Combining TS with SDNN as diagnostic criteria for CAN, the diagnostic sensitivity can be increased to 98%. Parameters used for evaluating parasympathetic functions in Ewing test, HR variability, and HR turbulence were found to significantly decrease in CAN+ group. The combination of SDNN and TS showed greater diagnostic value than Ewing test, HRV analysis, or HRT analysis alone.
机译:这项研究的目的是比较和分析尤因测试,心率变异性(HRV)和心率湍流(HRT)在诊断糖尿病患者的心脏自主神经病变(CAN)中的作用。研究了90位糖尿病患者(18-78岁)和20位非糖尿病对照对象。在所有参与者中进行了标准尤因测试和24小时动态心电图评估,以评估CAN。 Ewing得分≥2的患者被分类为CAN +。糖尿病患者的CAN +发生率[44.4%(40/90)]高于对照组[5%(1/20)](P <.05)。使用HRV分析和HRT分析,糖尿病患者的CAN +发生率分别为56.67%(51/90)和52.22%(47/90)。所有正常-正常(NN)间隔(SDNN)的SD,在整个记录的5分钟周期内计算的平均NN间隔(SDANN),低频功率(LF)和湍流斜率(TS)的SD为与尤因分数呈显着负相关。在相关因素中,TS(r =?0.68,P <.05)和SDNN(r =?0.58,P <.05)与尤因得分的相关性最强。结合TS和SDNN作为CAN的诊断标准,诊断灵敏度可以提高到98%。发现在CAN +组中用于评估Ewing测试中的副交感神经功能,HR变异性和HR湍流的参数显着降低。 SDNN和TS的组合显示出比单独的Ewing测试,HRV分析或HRT分析更大的诊断价值。

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