Features and related factors of mild cognitive impairment and its impacts on the quality of life in Parkinson's disease
Notice bibliographique
Résumé
Objective To investigate the features and related factors of Parkinson's disease(PD)with mild cognitive impairment(PD-MCI)and its impact on the quality of life for PD patients.Methods 122 PD patients were recruited and collected for the general information.The patients were evaluated by Hoehn-Yahr stage,Unified Parkinson's Disease Rating Scale(UPDRS)Ⅱ and Ⅲ,Clinical Dementia Rating(CDR),Mini-Mental State Examination(MMSE),Montreal Cognitive Assessment(MoCA),Hamilton Anxiety Rating Scale(HAMA),Hamilton Depression Rating Scale(HAMD),The Epworth Sleepiness Scale(ESS),Fatigue Scale(FS-14),Ability of Daily Living Questionnaire(ADL)and Parkinson's Disease Quality of Life Questionnaire-39(PDQL-39).Results(1)67 cases in 122 PD patients(54.92%)were with mild cognitive impairment(PD-MCI)and 47 cases(38.52%)were with no cognitive impairment(PD-NCI);(2)MoCA scores of PD-MCI and PD-NCI groups were 19.93±3.50 vs.26.74±1.48,and the difference was statistically significant(P=0.00);(3)Scoring rates of each cognitive domain in PD-MCI and PD-NCI groups were as followed:visuo-spatial and executive function:2.43±1.62 vs.4.06±0.97,naming:2.69±0.61 vs.2.98±0.15,attention and calculation:5.01±1.16 vs.5.87±0.49,language:2.19±0.88 vs.2.83±0.38,Abstraction:0.93±0.88 vs.1.74±0.57,delayed memory:1.19±1.26 vs.3.28±1.23,orientation:5.49±0.84 vs.5.89±0.48;Among which,scoring rates of attention and calculation,delayed memory,visuo-spatial and executive function in PD-MCI group were significantly higher than that in PD-NCI group(P=0.00,0.00 and 0.00,respectively);(4)The course of education in PD-MCI and PD-NCI groups were(8.51±0.53)years vs.(11.86±0.51)years,and the difference was statistically significant(P=0.00);the differences of age of onset,age,the course of disease and sex ratio were not significant;(5)Evaluations of motor function for PD-MCI and PD-NCI groups were as followed:Hoehn-Yahr stage:2.29±0.09 vs.2.00±0.10,UPDRS-Ⅲ:27.76±1.31 vs.23.62±1.56,which were all statistically significant(P=0.03 and P=0.04,respectively);(6)The incidences of non-motor symptoms for PD-MCI and PD-NCI groups were as followed:anxiety:13.43% vs.6.38%,depression:71.64% vs.76.60%,fatigue:38.81% vs.46.81%,daytime sleep disorders:29.86% vs.19.15%,which were not statistically significant;(7)Comparison of quality of life for PD-MCI and PD-NCI groups were as followed:UPDRS-Ⅱ:14.13±0.64 vs.11.72±0.65,ADL:43.87±1.56 vs.38.13±2.04,PDQL-39:135.23±3.26 vs.144.66±3.02,which were all statistically significant(P=0.01,P=0.03 and P=0.04,respectively);(8)MoCA score of PD-MCI group was negatively correlated with UPDRS-Ⅲ score(r=-0.26,P=0.01),Hoehn-Yahr stage(r=-0.20,P=0.03),UPDRS-Ⅱ score(r=-0.23,P=0.01)and ADL score(r=-0.22,P=0.02),and was positively correlated with the course of education(r=0.50,P=0.00)and PDQL-39 score(r=0.22,P=0.02),however was not correlated with age of onset,age,duration,clinical types and scores of HAMA,HAMD,FS-14 and ESS.Conclusions There is a high incidence of PD-MCI,which is mainly featured by the dramatic impairments in the cognitive domains of attention and calculation,delayed memory,visuo-spatial and executive function.PD-MCI is significantly correlated with the severity of movement dysfunction and course of education and severely compromised the quality of life for PD patients.Thus,it is very pivotal to recognize and treat PD-MCI at early stage in order to slow down the disease progression and improve the quality of life for the patients.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».