Investigation on the features of non-motor symptoms in Parkinson' s disease patients with cognitive impairment
Notice bibliographique
Résumé
Objective To investigate the features of non-motor symptoms( NMS) in Parkinson's disease( PD) patients with cognitive impairment by using a variety of PD scales. Methods 212 PD patients who visited Department of Neurology,Beijing Tiantan Hospital from April 2010 to April 2012 were recruited and divided into three groups: PD without cognitive impairment( PD-NCI),PD with mild cognitive impairment( PD-MCI) and PD with dementia( PDD); The numbers and incidences of NMS were investigated by Non-motor Symptom Questionnaire( NMSQ); NMS were evaluated by Unified Parkinson's Disease Rating Scale-Ⅰ( UPDRS-Ⅰ),Hamilton Anxiety Rating Scale( HAMA),Hamilton Depression Rating Scale( HAMD),Pittsburgh Sleep Quality Index( PSQI),The Epworth Sleepiness Scale( ESS),The Scale For Outcomes in PD For Autonomic Symptoms( SCOPA-AUT),Restless Leg Syndrome Rating Scale( RLSRS) and Fatigue Scale( FS-14); Correlation between MoCA score and related NMS scale scores in PD-CI patients were analyzed. Results( 1) The total numbers of NMS in PD-NCI,PD-MCI and PDD groups were gradually increased( 5. 79 ± 3. 57,9. 24 ± 5. 62 and 13. 58 ± 4. 79,P 0. 05); the numbers of NMS that occurred before motor symptoms( MS) in the three groups were not significantly different( P 0. 05); the numbers of NMS that occurred after MS in the three groups were significantly and gradually increased( P 0. 05);( 2) The NMS with incidence significantly and gradually increased in PD-NCI,PD-MCI and PDD groups was hallucination( 7. 31%, 15. 18% and 38. 89%,P 0. 05); The NMS which incidence in PD-MCI and PDD groups were significantly higher than that in PD-NCI group( P 0. 05),but not different between PD-MCI and PDD groups( P 0. 05) included day time somnolence( 15. 85%,35. 71% and 27. 78%),difficult to fall asleep( 36. 59%,59. 82% and 66. 67%), restless leg syndrome( 15. 85%,46. 43% and 50. 00%) and postural dizziness( 18. 23%,33. 04% and 44. 44%); the NMS with incidence significantly elevated in PPD group was anxiety( 9. 76%,13. 39% and 27. 78%)( P 0. 05); the NMS with incidence significantly decreased included non-emptying sense after defecation( 32. 93%, 28. 57% and 11. 11%) and urgent urination( 47. 56%,46. 43% and 27. 78%)( P 0. 05);( 3) The NMS with scores significantly and gradually increased in PD-NCI,PD-MCI and PDD groups included overall mental and emotional situation( UPDRS-I: 2. 54 ± 0. 92,3. 55 ± 0. 78 and 5. 61 ± 1. 42 points),sleep quality( PSQI: 10. 21 ± 4. 32,16. 34 ± 5. 24 and 20. 02 ± 7. 19 points) and autonomic symptoms( SCOPA-AUT: 32. 73 ± 6. 44,45. 24 ± 7. 33 and 54. 32 ± 7. 58 points)( P 0. 05); the NMS which scores in PD-MCI and PDD groups were significantly higher than that in PD-NCI group( P 0. 05),but not different between PD-MCI and PDD groups( P 0. 05) was day time somnolence( ESS: 3. 20 ± 1. 76,6. 01 ± 3. 95 and 8. 01 ± 3. 32 points); the NMS which scores was related to PDD included anxiety( HAMA: 10. 98 ± 4. 92,12. 04 ± 5. 32 and 15. 17 ± 6. 72 points),restless leg syndrome( RLSRS: 11. 61 ± 4. 73,14. 67 ± 6. 24 and 23. 20 ± 10. 47 points) and depression( HAMD: 11. 78 ± 4. 35,13. 08 ± 5. 21 and 15. 00 ± 5. 94 points)( P 0. 05);( 4) There were significantly negative correlations between MoCA score and scores of UPDRS-I,PSQI,SCOPA-AUT and ESS in PD-CI patients( P 0. 05). Conclusion The numbers and incidences of NMS in PD-CI patients are higher; overall mental and emotional situation,sleep disorder( total sleep quality and day time somnolence),autonomic symptoms,restless leg syndrome,anxiety and depression are prominent; severe PD- CI patients have severe overall mental and emotional situation,severe sleep disorder and autonomic dysfunction.
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 | 0,000 |
| 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) | 0,000 | 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 ».