COGNITIVE DISORDERS IN PATIENTS WITH PARKINSON'S DISEASE ON THE BACKGROUND OF AUTOIMMUNE PATHOLOGY
Bibliographic record
Abstract
Parkinson's disease (PD) is a progressive neurodegenerative disease characterized by the predominantly dopaminergic neuronal black matter degeneration. The multicentre study of PRIAMO (PaRkinson & non Motor symptom) showed that in 98.6 % of cases, non-motor symptoms (NMS) were observed in patients with PD. Cognitive impairment is one of the most common NMS PD. According to these studies, cognitive dysfunction develops in most patients at an early stage of the disease, with mild to moderate cognitive impairment. In the later stages of the disease, dementia occurs in 80 % of patients with PD. Aim of the research. To study the peculiarities of cognitive impairment in patients with PD and autoimmune thyroiditis (AIT), their association with motor and non-motor disorders, and to assess the impact on the quality of life of patients. Materials and methods of the research. 109 patients with PD aged 47 to 75 years were examined. The main group consisted of patients with IA and IB subgroups, control – IIA and IIB subgroups. General clinical and neurological examinations, evaluation of motor functions by the Unified Parkinson's disease Rating Scale (UPDRS), neuropsychological testing (MMSE, MoCA, FAB, BDI), Hamilton's Alert Scale (HARS), scale used for assessing autonomic disorders in patients with PD and Parkinson’s disease questionnaire (PDQ-39), statistical analysis using the "Statistica 6.0" program. Results. Neuropsychological testing showed that MMSE, MoCA, and FAB obtained from patients with PD and AIT are lower compared to patients with PD. Analyzing the indicators of MMSE, FAB, and MoCA scales in dynamics, a statistically significant difference was found in subgroups of IB and IIB; in subgroups of IA and IIA – was not observed. During the analysis of the results of the neuropsychological testing, no association was found at the statistically significant level in the subgroups of IA and IB between the duration of the disease and MMSE, MoCA, and FAB scales. In the IA subgroup, in the initial review, feedback was observed on a statistically significant level of average strength between the level of anxiety and the indicator of the MMSE scale, an indicator of the MoCA scale. In the IA subgroup, there was no relationship at the statistically significant level between the indicators of neuropsychological testing (MMSE, MoCA, FAB) and motor and non-motor manifestations (depression, vegetative disorders). There was a connection at a statistically significant level between the indicators of neuropsychological testing (MMSE, MoCA, FAB) and motor and non-motor manifestations of PD in patients who received anti-parkinsonian therapy for a long period of time. The negative influence of the level of cognitive impairments on the quality of life of patients with PD and AIT was revealed, indicating the high medical and social significance of these violations. Conclusions. Neuropsychological testing showed that MMSE, MoCA, FAB scores in patients with PD and AIT (IB subgroup) were lower compared to patients with PD (IIB subgroup). There was a connection at a statistically significant level between the indicators of neuropsychological testing (MMSE, MoCA, FAB) and motor and non-motor manifestations of PD in patients who received anti-parkinsonian therapy for a long period of time. The negative influence of the level of cognitive impairments on the quality of life of patients with PD and AIT was revealed, indicating the high medical and social significance of these violations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".