Diagnosis of cognitive impairment in patients with chronic cerebrovascular disease and type 2 diabetes mellitus

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Objective. To evaluate the effectiveness of a comprehensive examination algorithm, to determine important diagnostic features that predict the development of different severity of cognitive impairment (CI) in patients with type 2 diabetes mellitus (DM2). Subjects and methods. The investigation enrolled 81 patients with chronic cerebrovascular disease and DM2. They were divided into 3 groups: 1) 34 patients with mild CI and Stage I diabetic encephalopathy (DE) (a study group); 2) 23 patients with moderate CI and Stage II DE (a study group); 3) 24 patients without CI (a control group). Clinical, anamnestic, neuroimaging, and neurophysiological data were investigated in the study groups of patients with Stages I and II DE. The severity of CI was defined according to the neuropsychological testing data. Results. The total load with the diagnostic signs characteristic of DE increased in the group of Stage II DE patients with moderate CI, which is confirmed by statistical data. The severity of CI in patients with DM2 increased with the concurrence of the duration of DM2, a patients age, and the atrophic signs of brain substance, the presence of postischemic cysts, and stenotic lesions of the brachiocephalic arteries.

Sobre autores

M. Belokopytova

Stavropol State Medical University

Email: masha.ru.26@mail.ru

I. Dolgova

Stavropol State Medical University

Email: masha.ru.26@mail.ru

доктор медицинских наук, доцент

V. Baturin

Stavropol State Medical University

Email: masha.ru.26@mail.ru

доктор медицинских наук, профессор

S. Ermakov

Stavropol State Medical University

Autor responsável pela correspondência
Email: masha.ru.26@mail.ru

Bibliografia

  1. Остроумова О.Д., Суркова Е.В., Ших Е.В. и др. Когнитивные нарушения у больных сахарным диабетом 2 типа: распространенность, патогенетические механизмы, влияние противодиабетических препаратов. Сахарный диабет. 2018; 21 (4): 307-18. DOI: 10.14341/ DM9660
  2. Самойлова Ю.Г., Ротканк М.А., Жукова Н.Г. и др. Вариабельность гликемии у пациентов с сахарным диабетом 1-го типа: связь с когнитивной дисфункцией и данными магнитно-резонансных методов исследования. Проблемы эндокринологии. 2018; 64 (5): 286-91. doi: 10.14341/probl9589
  3. Шишкова В.Н. Особенности развития неврологических осложнений у пациентов с сахарным диабетом 2-го типа и метаболическим синдромом: возможность коррекции и профилактики. Тер арх. 2015; 87 (1): 109-14. doi: 10.17116/terarkh2015871109-114
  4. Elham Saedi, Mohammad Reza Gheini, Firoozeh Faiz et al. Diabetes mellitus and cognitive impairments. World J Diabetes. 2016; 7 (17): 412-22. doi: 10.4239/wjd.v7. i17.412
  5. Chang Li, Jingna Zhang, Mingo Qiu et al. Changes in the structural network connectivity of the brain in patients with type 2 diabetes mellitus with moderate cognitive impairment Anterior aging neuroses. 2020 Changes in structural network connectivity in the brain in patients with type 2 diabetes mellitus with mild cognitive impairment. Front Aging Neurosci. 2021; 12: 615048. doi: 10.3389/fnagi.2020.615048
  6. Чуканова Е.И., Чуканова А.С. Хроническая ишемия мозга, нейропластичность, возможности терапии. Неврология, нейропсихиатрия, психосоматика. 2017; 9 (2): 102-7. doi: 10.14412/2074-2711-2017-2-102-10

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1. JATS XML
2. Fig. 1. Analysis of the indicator «Age» depending on that «Group»

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3. Fig. 2. Analysis of the indicator «Internal carotid artery stenosis» depending on that «Group»

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4. Fig. 3. Analysis of the indicator «Vertebral artery stenosis» depending on that «Group»

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5. Fig. 4. Analysis of the indicator «Degree of cerebral cortical atrophy» depending on that «Group»

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6. Fig 5. Analysis of the indicator «MRI signs of postischemic cysts» depending on that «Group»

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7. Fig. 6. Analysis of the indicator «Duration of DM» depending on that «Group»

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8. Fig. 7. Analysis of the indicator «Cognitive deficit» depending on that «Group»

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