Key result
Autonomic neuropathy in type 1 diabetes is linked to greater electrical abnormalities on body surface mapping.
Why the study?
ECG body surface mapping parameters differ between Type 1 diabetic patients and healthy subjects, with unclear differences related to autonomic neuropathy presence.
Does ECG body surface mapping detect electrophysiological differences in Type 1 diabetic patients with and without autonomic neuropathy compared to healthy controls?
Cross-Sectional (n=84)
No
Does ECG body surface mapping detect electrophysiological differences in Type 1 diabetic patients with and without autonomic neuropathy compared to healthy controls?
p-value: p=<0.05
ECG body surface mapping can detect electrophysiological changes and confirm the presence of autonomic neuropathy in patients with Type 1 diabetes.
May support ECG body surface mapping to identify autonomic neuropathy in type 1 diabetes; hypothesis-generating and requires prospective validation.
ECG body surface mapping (BSM) parameters in patients with diabetes mellitus Type 1 (DM1) are significantly different comparing to healthy non-diabetic subjects. Hypothesis that these changes are more pronounced in DM1 patients with autonomic neuropathy (AN) was tested. The parameters of BSM were registered by diagnostic system Cardiag 112.2 in 54 DM1 patients including 25 with AN and 30 control subjects. AN was diagnosed according to Ewing criteria when two or more Ewing tests were abnormal. In classic 12-lead ECG the heart rate was increased, QRS and QT shortened (p<0.01) and QT(C) prolonged in DM1 patients. The VCG measurement of QRS-STT angles and spatial QRS-STT angle showed non-significant differences. The absolute values of maximum and minimum in depolarization and repolarization isopotential, isointegral, isoarea maps were significantly different in DM1 patients in comparison with controls (p<0.01). The changes were more pronounced in DM1 patients with AN than in DM patients without AN (p<0.05). The QT duration measured in 82 leads of thorax was significantly shortened in 68 leads of both groups of DM 1 patients (p<0.01) when compared with controls. In 34 of them this shortening was more pronounced in DM1 patients with AN than in DM1 patients without AN (p<0.05). The results showed that the method of ECG BSM is capable to confirm the presence of autonomic neuropathy in diabetic patients.
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Pálová et al. (2010) conducted a cross-sectional in Type 1 diabetes mellitus with and without autonomic neuropathy (n=84). Type 1 diabetes mellitus with autonomic neuropathy vs. Type 1 diabetes mellitus without autonomic neuropathy and healthy controls was evaluated on ECG body surface mapping parameters (depolarization and repolarization maps) (p=<0.05). Type 1 diabetic patients with autonomic neuropathy exhibited significantly more pronounced changes in ECG body surface mapping parameters compared to diabetic patients without autonomic neuropathy.
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