COGNITIVE DISORDERS IN PATIENTS WITH PARKINSON'S DISEASE ON THE BACKGROUND OF AUTOIMMUNE PATHOLOGY
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».