Kumhar M R, Agarwal T D, Singh V B, Kochar D K, Chadda V S
Department of Medicine, SP Medical College, Bikaner, Rajasthan.
Indian Heart J. 2000 Jul-Aug;52(4):421-6.
This study was conducted on 50 patients of diabetes mellitus type 2 and 20 healthy controls to correlate severity of diabetic cardiac autonomic neuropathy with QTc interval and QTc dispersion. Five standard cardiovascular response tests were carried out (i.e. Valsalva ratio, expiration-inspiration ratio, immediate heart rate response to standing, fall of systolic blood pressure on standing and sustained hand grip test) to determine the severity of cardiac autonomic neuropathy by scoring system. QTc dispersion was determined by subtracting heart rate-corrected minimum QTc interval (QTc min) from maximum QT interval (QTc max) from standard electrocardiogram. Severity of cardiac autonomic neuropathy strongly correlated with QTc dispersion (r = 0.760; p = 0.0001). Correlation of severity of cardiac autonomic neuropathy with QTc max and QTc mean was also found but weaker than with QTc dispersion (r = 0.663, r = 0.542, p = 0.0001 each) and no correlation was found with QTc min (r = 0.177; p = 0.17). This shows that QTc dispersion is a better predictor of cardiac autonomic neuropathy than any of above three QTc intervals. QTc max, QTc mean and QTc dispersion were significantly higher (p < 0.001) in diabetics with autonomic neuropathy (450 +/- 23, 423 +/- 22 and 57 +/- 12 msec; n = 30) than without neuropathy (407 +/- 14, 397 +/- 15 and 20 +/- 7 msec; n = 20) and control subjects (408 +/- 20, 399 +/- 19 and 19 +/- 7 msec; n = 20) but QTc min remained same in the three groups (393 +/- 21, 387 +/- 12, 388 +/- 19 msec, respectively) (p > 0.05). Correlation of QTc dispersion was stronger with QTc max (r = 0.781; p < 0.001) than QTc mean (r = 0.625; p = 0.001) but not with QTc min (r = 0.097; p = 1.0) which suggests that regional increase in QT interval due to regional autonomic denervation leads to increased QTc dispersion. Thus, QTc dispersion is a sensitive, non-invasive, simple and cost-effective predictor of cardiac dysautonomia.
本研究对50例2型糖尿病患者和20名健康对照者进行,以关联糖尿病性心脏自主神经病变的严重程度与QTc间期及QTc离散度。进行了五项标准心血管反应测试(即瓦尔萨尔瓦比率、呼气-吸气比率、站立后即刻心率反应、站立时收缩压下降及持续握力测试),通过评分系统确定心脏自主神经病变的严重程度。QTc离散度通过从标准心电图的最大QT间期(QTc max)中减去心率校正后的最小QTc间期(QTc min)来确定。心脏自主神经病变的严重程度与QTc离散度密切相关(r = 0.760;p = 0.0001)。还发现心脏自主神经病变的严重程度与QTc max和QTc均值也存在相关性,但弱于与QTc离散度的相关性(r分别为0.663、0.542,p均为0.0001),且与QTc min无相关性(r = 0.177;p = 0.17)。这表明,与上述三个QTc间期相比,QTc离散度是心脏自主神经病变更好的预测指标。有自主神经病变的糖尿病患者(450±23、423±22和57±12毫秒;n = 30)的QTc max、QTc均值和QTc离散度显著高于无神经病变的患者(407±14、397±15和20±7毫秒;n = 20)及对照者(408±20、399±19和19±7毫秒;n = 20)(p < 0.001),但三组的QTc min保持相同(分别为393±21、387±12、388±19毫秒)(p > 0.05)。QTc离散度与QTc max的相关性(r = 0.781;p < 0.001)强于与QTc均值的相关性(r = 0.625;p = 0.001),但与QTc min无相关性(r = 0.097;p = 1.0),这表明局部自主神经去神经支配导致的QT间期局部增加会导致QTc离散度增加。因此,QTc离散度是心脏自主神经功能障碍的一个敏感、无创、简单且经济有效的预测指标。