• A new approach to the analysis of functional state of children and adolescents with type 1 diabetes mellitus

A new approach to the analysis of functional state of children and adolescents with type 1 diabetes mellitus

SOVREMENNAYA PEDIATRIYA.2018.2(90):37-46; doi 10.15574/SP.2018.90.37

Maidannik V. G., Fainzilberg L. S., Dukkart K. B., Morozik A. A., Kondratiuk A. S.
Bogomolets National Medical University, Kyiv, Ukraine
International Research and Training Centre for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine, Kyiv

Objective – further study of the original method of the functional state evaluation in children and adolescents with type 1 diabetes mellitus (DM).
Material and methods. The study involved 23 children with type 1 DM and 22 apparently healthy schoolchildren, living in Kyiv. Investigations were carried out by means of the diagnostic complex FAZAGRAF® (Ukraine). Heart rate variability (HRV) and electrocardiogram (ECG) indexes, which form five classes of characteristic patterns, were calculated at rest, at the height of the load and the period of restitution. The distribution of patterns in the groups was studied.
Results. For AMo and stress index, the pattern «Minimum» was the most common. The pattern of SDNN and RMSSD indexes referred to the class «Maximum» mostly. Patients with DM in 26.1% of cases for the SDNN pattern and in 43.5% of cases for the RMSSD pattern had an atypical reaction on the load («Minimum»). For pNN50, in diabetic patients the atypical reaction «Minimum» occurred in 56.5% of cases, while among the apparently healthy children the frequency was only 9.5% (p=0,95). The dominant pattern of the T&wave symmetry index (βT) in both groups belonged to the class «Maximum», while the atypical «Ascending» pattern was observed in 26.1% of diabetic patients. A similar situation is observed for the standard deviation of symmetry of the T-wave (SD βT).
Conclusions. Identifying of the atypical patterns that characterize the dynamics of HRV and ECG as a result of the exercise test can be considered as a reliable diagnostic marker of diabetic cardiomyopathy.
Key words: diabetes mellitus, adaptive reaction, symmetry of the T-wave, FAZAGRAF®.


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