Polysomnographic markers of REM sleep behavior disorder in Parkinson’s Disease: methodological issues, diagnostic accuracy and progression over time
Notice bibliographique
Résumé
Up to 60% of Parkinson’s disease (PD) patients have REM sleep behavior disorder (RBD), a parasomnia characterized by a loss of REM sleep muscle atonia and dream-enacting behaviors, usually associated to vivid dreams. REM sleep without atonia (RSWA), characterized by a sustained tonic and/or phasic muscle activity during REM sleep, is the polysomnographic hallmark of RBD. PD patients with RBD (PDRBD+) are more severely impaired in both motor and non-motor domains, compared to those without RBD, and they have an increased risk of dementia. Thus, RBD may be a biomarker of more widespread/malignant phenotype and correct identification of RBD in PD may bear clinical, therapeutic, and prognostic implications. However, RBD diagnostic criteria have been defined and screening tools have been developed mainly based on idiopathic RBD population. Moreover, little is known about the evolution of both clinical and video-polysomnographic (vPSG) measures of RBD in relationships with the progression of motor and non-motor symptoms of PD. Actually, RBD may precede, concurs or follow the onset of PD by many years, but an improvement of RBD symptoms is also occasionally reported in PD patients over time. Longitudinal assessment of RBD performed by questionnaire in PD population has led to controversial results and, so far, only one vPSG study has been performed in patients with PDRBD+. In this thesis, we first aimed to assess the concordance of two visual scoring method for RSWA, namely the Montreal and the SINBAR, and to compare the two methods with an automated scoring method, in a large cohort of patients with PD consecutively seen at Movement Disorder Centers. Then, in a second study, we aimed to ascertain whether current diagnostic criteria for RBD, mainly developed based on idiopathic RBD, are appropriate to diagnose RBD in PD patients and to assess the sensitivity and specificity of the two most used RBD screening questionnaires, namely the RBDSQ and the RBD1Q. Finally, in the third study, we sought to longitudinally evaluate clinical and neurophysiological features of RBD at the end of a 3-years follow-up including RSWA, and to assess the relationship between the evolution of RSWA and the progression of symptoms in a large cohort of PD patients with RBD, in order to ascertain whether RBD represents a stable marker in PD. Assessing the appropriateness of screening and diagnostic criteria and elucidating the time course of RBD in PD would be crucial to determine the usefulness of this marker in view of future neuroprotective and disease modifying trials.
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».