A Prognostic Model of the Development of Cognitive Impairments in Patients with Type 1 Diabetes Mellitus

Samoilova, Yu. G.; Rotkank, Maria A.; Kudlаy, D.А.; Жукова, Н. Г.; Матвеева, М.В.; Толмачев, И. В.

doi:10.1007/s11055-020-01015-9

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…For instance, most studies had insufficient sample sizes ( Schrag et al, 2017 ; Zhang et al, 2022 ), or had participants from developed countries ( Barnes et al, 2014 ). Other studies lacked validation ( Pankratz et al, 2015 ), or used specific type of patients as participants, such as those suffering from diabetes ( Samoilova et al, 2020 ). In addition, there is no prognostic model for cognitive impairment risk specifically for elderly illiterate women.…”

Section: Introductionmentioning

confidence: 99%

A prediction model of cognitive impairment risk in elderly illiterate Chinese women

Chen

Song

et al. 2023

Front. Aging Neurosci.

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ObjectiveTo establish and validate a targeted model for the prediction of cognitive impairment in elderly illiterate Chinese women.Methods1864 participants in the 2011–2014 cohort and 1,060 participants in the 2014–2018 cohort from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included in this study. The Chinese version of the Mini-Mental State Examination (MMSE) was used to measure cognitive function. Demographics and lifestyle information were collected to construct a risk prediction model by a restricted cubic spline Cox regression. The discrimination and accuracy of the model were assessed by the area under the curve (AUC) and the concordance index, respectively.ResultsA total of seven critical variables were included in the final prediction model for cognitive impairment risk, including age, MMSE score, waist-to-height ratio (WHtR), psychological score, activities of daily living (ADL), instrumental abilities of daily living (IADL), and frequency of tooth brushing. The internal and external validation AUCs were 0.8 and 0.74, respectively; and the receiver operating characteristic (ROC) curves indicated good performance ability of the constructed model.ConclusionA feasible model to explore the factors influencing cognitive impairment in elderly illiterate women in China and to identify the elders at high risk was successfully constructed.

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Section: Introductionmentioning

confidence: 99%

A prediction model of cognitive impairment risk in elderly illiterate Chinese women

Chen

Song

et al. 2023

Front. Aging Neurosci.

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“…Another neuroimaging method is Magnetic resonance spectroscopy (MRS) -an advanced biochemical analysis technique that detects changes in metabolic neurochemical levels of metabolites in various areas of the brain in vivo. In type 1 diabetes, changes in the levels of NAA, Cho and the NAA / Cr (creatine) ratio are most often recorded (Hansen et al, 2018;Samoilova et al, 2020;Zhao et al, 2018). Considering the peculiarity of the development of microangiopathies in patients with type 1 diabetes, the assessment of cerebral perfusion also plays an important diagnostic role, allowing for the demonstration of changes in cerebral blood ow and other characteristics of the cortical and subcortical formations of the brain (Emanuel et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Interhemispheric Asymmetry of the Brain in Patients with Type 1 Diabetes Mellitus and Cognitive Impairment

Tonkikh

Samoylova

Матвеева

et al. 2021

Preprint

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With an ageing of population and a splurging epidemic of diabetes mellitus (DM), the prevalence of complications associated with pathology of the central nervous system are expected to increase, which in the future may have serious consequences for public health. It is known that one of the main manifestations of brain damage in type 1 diabetes is cognitive impairment, which is possibly associated with the peculiarities of vascularization and interhemispheric asymmetry, which requires in-depth analysis using modern neuroimaging methods. The aim of the study is to assess the symmetry of structural, metabolic and neurovascularization changes in the brain in patients with type 1 diabetes and cognitive impairment. The study included 120 patients with type 1 diabetes aged 18 to 45 years suffering from cognitive impairment, and 30 people without cognitive decline which constituted the control group. Neuropsychological testing included the Montreal Cognitive Dysfunction Assessment Scale (MoCA test). For neuroimaging methods, standard magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), contrast and non-contrast-enhanced perfusion were used. Statistical processing was carried out using the SPSS Statistic 2020 software. In patients with type 1 diabetes with cognitive impairment, as manifested by impaired memory and/or attention, perfusion imaging revealed the presence of brain asymmetry zones. Standard MRI allowed to demonstrate changes in the white, gray matter and hippocampus in the right hemisphere. The results obtained were refined taking into account the topical localization, so during the perfusion study, regions with asymmetric blood flow were identified - namely, the white matter of the frontal lobe and the gray matter in the occipital lobe. Spectroscopy of the brain revealed that it was in these areas of the brain that the most significant metabolic disorders were noted – in the form of significantly altered ratio of N-acetylaspartate (NAA) / choline (Cho) on the left, along with the asymmetry in phosphocreatine level (Cr 2) on the right. In conclusion, early preclinical predictive diagnostics with the use of modern neuroimaging methods allows for timely detection of impaired vascularization and brain metabolism in this group of patients.

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Interhemispheric asymmetry of the brain in patients with type 1 diabetes mellitus and cognitive impairment

et al. 2022

View full text Add to dashboard Cite

With an ageing of population and a splurging epidemic of diabetes mellitus (DM), the prevalence of complications associated with pathology of the central nervous system are expected to increase, which in the future may have serious consequences for public health. It is known that one of the main manifestations of brain damage in type 1 diabetes is cognitive impairment, which is possibly associated with the peculiarities of vascularization and interhemispheric asymmetry, which requires in-depth analysis using modern neuroimaging methods. The aim of the study is to assess the symmetry of structural, metabolic and neurovascularization changes in the brain in patients with type 1 diabetes and cognitive impairment. The study included 120 patients with type 1 diabetes aged 18 to 45 years suffering from cognitive impairment, and 30 people without cognitive decline and the control group (n=30) healthy people without diabetes. Neuropsychological testing included the Montreal Cognitive Dysfunction Assessment Scale (MoCA test). For neuroimaging methods, standard magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), contrast and non-contrast-enhanced perfusion were used. Statistical processing was carried out using the SPSS Statistic 2020 software. In patients with type 1 diabetes with cognitive impairment, as manifested by impaired memory and/or attention, perfusion imaging revealed the presence of brain asymmetry zones. Standard MRI allowed to demonstrate changes in the white, gray matter and hippocampus in the right hemisphere. The results obtained were refined taking into account the topical localization, so during the perfusion study, regions with asymmetric blood flow were identified - namely, the white matter of the frontal lobe and the gray matter in the occipital lobe. Spectroscopy of the brain revealed that it was in these areas of the brain that the most significant metabolic disorders were noted – in the form of significantly altered ratio of N-acetylaspartate (NAA)/choline (Cho) on the left, along with the asymmetry in phosphocreatine level (Cr 2) on the right. In conclusion, early preclinical predictive diagnostics with the use of modern neuroimaging methods allows for timely detection of impaired vascularization and brain metabolism in this group of patients, However, decreased perfusion in the region within the region of frontal lobe white matter and temporal lobe grey matter, and hippocampal cell metabolism by spectra should be highlighted among the parameters Cr right and NAA/Cho left.

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A Prognostic Model of the Development of Cognitive Impairments in Patients with Type 1 Diabetes Mellitus

Cited by 3 publications

References 10 publications

A prediction model of cognitive impairment risk in elderly illiterate Chinese women

A prediction model of cognitive impairment risk in elderly illiterate Chinese women

Interhemispheric Asymmetry of the Brain in Patients with Type 1 Diabetes Mellitus and Cognitive Impairment

Interhemispheric asymmetry of the brain in patients with type 1 diabetes mellitus and cognitive impairment

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