The Effect of Genotype on Self‐Reported Dysarthria and Dysphagia in Parkinson's Disease: A Parkinson's Progression Marker Initiative Study
Notice bibliographique
Résumé
OBJECTIVES: The objective of this study was to examine baseline and longitudinal differences of self-reported dysarthria and dysphagia in the most common genetic subtypes of Parkinson's disease (PD) using the Parkinson's Progression Marker Initiative (PPMI) dataset. METHODS: This was a retrospective, longitudinal study utilizing data from the PPMI dataset. Dysarthria- and dysphagia-specific questions from the Unified Parkinson's Disease Rating Scale (UPDRS) and Scales of Outcomes in Parkinson's Disease-Autonomic questionnaire (SCOPA-AUT) were extracted for people with Parkinson's disease (PwPD) with leucine-rich repeat kinase 2 gene (LRRK2), GBA, and SNCA genotypes across up to five research visits. Relevant patient (age, sex, etc.) and disease (severity, phenotype, medication, etc.) data were extracted along with scores from the Montreal Cognitive Assessment (MoCA). Linear mixed models (LMMs) were used to analyse longitudinal data between genotypes, as well as to examine the interaction effects between genotypes and tremor dominant (TD) or postural instability/gait determinant (PIGD) phenotypes. RESULTS: A total of 211 PwPD met inclusion criteria at their baseline visit (LRRK2 n = 115, GBA n = 68, SNCA n = 15). LMMs displayed significant differences in genotypes longitudinally, with significant differences between LRRK2, GBA, and SNCA genotypes at multiple time points in dysarthria and dysphagia self-reports. LRRK2-genotyped participants routinely self-reported lower dysarthria (p < 0.001) and dysphagia severity for UPDRS (p < 0.001) and SCOPA-AUT (p = 0.007) questions. SNCA-genotyped participants self-reported the most severe dysarthria (p = 0.002) and dysphagia symptoms for UPDRS (p < 0.001) and SCOPA-AUT (p < 0.05) over time. There were no differences between genotypes at baseline, and no effects of motor phenotype at any time point. CONCLUSIONS: This was the first study to examine longitudinally how genotypes in PD specifically impact self-reported dysarthria and dysphagia severity. Findings from our study suggest different genotypes of PD affect the degree of self-reporting dysarthria and dysphagia severity. Specifically, LRRK2 genotypes self-reported lower dysarthria and dysphagia severity, while SNCA genotypes self-reported the most severe dysarthria and dysphagia of this sample. Importantly, SNCA genotypes self-report a faster increase in severity over time compared to other genotypes. Substantially more work is needed to investigate the underlying physiological differences manifesting in dysarthria and dysphagia in different genotypes of PD. WHAT THIS PAPER ADDS: What is already known on this subject Limited evidence is available regarding the effects that different genotypes of Parkinson's disease (PD) have on speech, voice, and swallowing. Current evidence suggests differences in voice acoustic signals between idiopathic and genetic Parkinson's, but with no other evidence in other domains such as swallowing. Additionally, there is no current data on how different genotypes perceive or report speech, voice, or swallowing impairment. What this study adds to the existing knowledge This study adds novel, preliminary evidence from a large open-source dataset that different genotypes of PD may report differential impairment in speech, voice, and swallowing. Importantly, the progression of reported dysarthria and dysphagia over time interacts with these genotypes, suggesting different genotypes experience differential impairment in dysarthria and dysphagia as time goes on. Specifically, SNCA-genotyped people with PD may report significantly greater dysarthria and dysphagia than other genotypes. What are the potential or actual clinical implications for this study? Clinically, this study highlights how different genotypes of PD experience dysarthria and dysphagia over the course of their disease and provides potentially relevant timelines of when these impairments reach clinically meaningful thresholds. As an example, baseline reports of dysarthria and dysphagia were similar and remained stable up to the third year of reports, where significant differences between genotypes began to emerge. This may provide clinicians with useful information regarding when to expect dysarthria and dysphagia in genotypic PD to manifest and when to best initiate additional assessment and treatment based on patient information.
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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 | 0,000 |
| 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 | 0,001 | 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 ».