Diabetic neuropathy in children and adolescents: Unsolved problems and new opportunities

Алимова, И Л

doi:10.21508/1027-4065-2016-61-3-114-123

Cited by 4 publications

(2 citation statements)

References 6 publications

(8 reference statements)

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“…Диагностировать нарушения вегетативной регуляции сердечной деятельности можно по результатам кардиоинтервалографии [9,13,14]. Согласно полученным данным, при гипогликемических состояниях отмечается высокий уровень функционирования симпатического отдела вегетативной нервной системы и центрального контура регуляции ритма сердца, что сопровождается описанными выше нарушениями, выявленными при мониторинге ЭКГ.…”

Section: Discussionunclassified

“…В исследование были включены 50 пациентов в возрасте 10-17 лет (14 лет [12][13][14][15]) с сахарным диабетом 1-го типа с длительностью заболевания 2-12 лет (4 [2,[6][7] года), находящихся на базисноболюсной инсулинотерапии. Показатель гликированного гемоглобина А 1с (HbA 1c ) составил 8,3-14,9% (10,4% [9,[1][2][3][4][5][6][7][8][9][10][11]6]).…”

Section: характеристика детей и методы исследованияunclassified

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Functional Condition of the Cardiovascular System in Children With Type 1 Diabetes Depending on the Level of Glycemia

Алимова

Демяненко

2018

Ross. vestn. perinatol. pediatr.

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Purpose of the study: to determine main parameters of the heart rhythm in children with type 1 diabetes, depending on the night level of glycemia. We performed bifunctional monitoring of glycemia and ECG in 50 patients with type 1 diabetes from 10 to 17 years. Depending on the glycemic parameters summarized in all patients we divided 3 groups: Group 1 (n=11) – sites of hypoglycemia (≤3.9 mmol/l), Group 2 (n=35) – optimal level of glycemia (4.0-9.0 mmol/l) and Group 3 (n=45) – sites of hyperglycemia (> 9 mmol/l). According to the results of glycemic monitoring, 96% of children do not have glycemic target marks at night and 20% of patients have asymptomatic night hypoglycemia. When analyzing the parameters of Holter ECG monitoring, the greatest value of heart rate, duration of the QTc interval, as well as atrial ectopic activity were often recorded during periods of hypoglycemia. Hyperglycemia also causes pathologic elongation of the ventricular electric systole and a greater number of ventricular extrasystoles. Thus, night hypo- and hyperglycemia in children and adolescents with type 1 diabetes leads to an extension of the QTc interval, an increase in the number of extrasystoles with the highest severity and frequency in hypoglycemia. We noted a high level of functioning of the sympathetic department of the autonomic nervous system and the central contour of heart rhythm regulation in children and adolescents with type 1 diabetes mellitus in hypoglycemia.

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Section: характеристика детей и методы исследованияunclassified

Functional Condition of the Cardiovascular System in Children With Type 1 Diabetes Depending on the Level of Glycemia

Алимова

Демяненко

2018

Ross. vestn. perinatol. pediatr.

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Mathematical Models and Machine Learning Algorithms in the Diagnosis of Complications of Type 1 Diabetes Mellitus

Krotova¹,

Khvorova²,

Piyanzin³

2021

Известия АлтГУ

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The paper deals with the problem of diabetic polyneuropathy diagnosing. This is one of the earliest and most dangerous complications of diabetes among children and adolescents. The research aims to develop models for diagnosing diabetic polyneuropathy in children and adolescents based on various medical data. The developed models will make it possible to diagnose a complication without using neurophysiological research methods. Therefore, the proposed models can be used in small medical and obstetrical stations in rural areas as well as a support system for making medical decisions. In the course of the study, a review and analysis of scientific publications of domestic and foreign scientists on the topic of the research are carried out. A large set of textual medical data is processed, then a database is created, features are analyzed, and a model is developed to reveal the presence of diabetic polyneuropathy in children and adolescents with type 1 diabetes mellitus. The achieved quality of the classification model allows us to assert that machine learning methods can be used to find hidden dependencies in the development and course of complications of diabetes mellitus.

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Ultrasound and Doppler Study in Assessing the Efficiency of Complex Rehabilitation in Patients with Diabetic Neuropathy

Alybaeva,

Mambetov,

Aimanbetova

2024

Bulletin of Science and Practice

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The aim of the work: to evaluate the effectiveness of exercise therapy, ozone therapy, physiotherapy equipment in outpatient rehabilitation and treatment of patients with diabetic neuropathy of the lower extremities from the standpoint of the International Classification of Functioning, Disability, and Health. When evaluating the effectiveness of a monthly course of rehabilitation treatment, changes in the vessels of the lower extremities are of great importance. We were able to prove a positive change in the vessels of the lower extremities after treatment with the rehabilitation complex using ultrasound Dopplerography. In the main group, an increase in the blood flow velocity in the vessels of the lower extremities by 20.5% was noted, and in the comparison group, an increase in the blood flow velocity of the lower extremities by 12.7% was noted. The effectiveness of rehabilitation was assessed based on a comparison of the achieved rehabilitation results with the initial indicators.

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Diabetic neuropathy in children and adolescents: Unsolved problems and new opportunities

Cited by 4 publications

References 6 publications

Functional Condition of the Cardiovascular System in Children With Type 1 Diabetes Depending on the Level of Glycemia

Functional Condition of the Cardiovascular System in Children With Type 1 Diabetes Depending on the Level of Glycemia

Mathematical Models and Machine Learning Algorithms in the Diagnosis of Complications of Type 1 Diabetes Mellitus

Ultrasound and Doppler Study in Assessing the Efficiency of Complex Rehabilitation in Patients with Diabetic Neuropathy

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