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Markers of Systemic Inflammation in Assessing the Effectiveness of Neurocognitive Rehabilitation in Aged Patients with Mild Cognitive Impairment

2022· article· en· W4297996369 on OpenAlexaboutno aff
M V Kurmyshev, S. A. Zozulya, N. V. Zakharova, А. Н. Бархатова, I. Yu. Nikiforova, T. P. Klyushnik

Bibliographic record

VenuePsikhiatriya · 2022
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsnot available
Fundersnot available
KeywordsNeurocognitiveMedicineRehabilitationCognitionCognitive rehabilitation therapyInternal medicinePhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Background : the results of previous studies suggest that the level of activation of inflammatory responses in the periphery correlates with the severity of cognitive impairment in patients with neurodegenerative diseases and can serve as an indicator of the activity of the current pathological process in the brain. Epigenetic factors are suggested to influence the regulation of (neuro)inflammation and cognitive recovery in elderly patients, which opens up a wide spectrum of therapeutic strategies for the treatment of age-associated diseases. Objective : to evaluate the possible effects of a comprehensive neurocognitive rehabilitation program on cognitive functioning and blood immunological parameters of elderly patients with mild cognitive impairment (MCI).Patients and methods: 507 participants of the “Memory Clinic” rehabilitation program with signs of MCI (F06.7, F06.78 according to ICD-10) were examined before the start of neurocognitive training and after its completion (after six weeks). Some patients (11.6%) were observed clinically one year after their inclusion in the program. Cognitive status was assessed using the Modified Hachinski Ischemic Scale, the Mini-Mental State Examination, the Montreal Cognitive Assessment, and the Clock Drawing Test. Enzymatic activity of leukocyte elastase (LE), functional activity of α1-proteinase inhibitor (α1-PI), and levels of antibodies to S-100B and myelin basic protein were determined in patients’ blood. The parameters of healthy donors were used as controls. Results : immunological examination of patients before the rehabilitation program revealed increased LE and α1-PI activity in the overall group compared to controls (p < 0.001 and p < 0.05). Using a previously developed regression model to identify a high-risk group for Alzheimer’s disease (AD) among patients with MCI, all subjects were divided into two groups (cut-off value p = 0.65). Group 1 (low-risk of AD, n = 330) was characterized by increased LE activity and α1-PI (p < 0.001), Group 2 (highrisk of AD, n = 177) was distinguished by decreased LE activity (p < 0.001) accompanied by high α1-PI activity (p < 0.001). After neurocognitive training, differently directed variants of the dynamics of immunological parameters associated with the severity of patients’ cognitive impairment on psychometric scales were identified in each group. For the most of the examined patients (61.3%) the training program turned out to be effective, which was confirmed by the positive dynamics of the psychometric scores and relative normalization of the blood inflammatory markers (p < 0.05). The highest effect of the rehabilitation program was typical for patients not included in the high-risk group for AD (p < 0.001). Follow-up examination revealed stabilization of cognitive functioning in 93.2% of those examined, most of whom were patients with an initially low risk of developing the disease (p < 0.01). Conclusion : neurocognitive rehabilitation of patients with MCI carried out in the “Memory Clinic” conditions can be considered as a social epigenetic factor modulating the current pathological process in patients with cognitive disorders, which is confirmed by objective immunological markers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.246
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2022
Admission routes1
Has abstractyes

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