Speech prosody impairment predicts cognitive decline in Parkinson's disease
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
27237105
DOI
10.1016/j.parkreldis.2016.05.018
PII: S1353-8020(16)30170-5
Knihovny.cz E-zdroje
- Klíčová slova
- Acoustic analysis, Cognitive, Dementia, Parkinson’s disease, Speech prosody,
- MeSH
- kognitivní poruchy diagnóza etiologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- longitudinální studie MeSH
- neparametrická statistika MeSH
- neuropsychologické testy MeSH
- Parkinsonova nemoc komplikace MeSH
- poruchy řeči etiologie MeSH
- řeč fyziologie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- statistika jako téma MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Impairment of speech prosody is characteristic for Parkinson's disease (PD) and does not respond well to dopaminergic treatment. OBJECTIVES: We assessed whether baseline acoustic parameters, alone or in combination with other predominantly non-dopaminergic symptoms may predict global cognitive decline as measured by the Addenbrooke's cognitive examination (ACE-R) and/or worsening of cognitive status as assessed by a detailed neuropsychological examination. METHODS: Forty-four consecutive non-depressed PD patients underwent clinical and cognitive testing, and acoustic voice analysis at baseline and at the two-year follow-up. Influence of speech and other clinical parameters on worsening of the ACE-R and of the cognitive status was analyzed using linear and logistic regression. RESULTS: The cognitive status (classified as normal cognition, mild cognitive impairment and dementia) deteriorated in 25% of patients during the follow-up. The multivariate linear regression model consisted of the variation in range of the fundamental voice frequency (F0VR) and the REM Sleep Behavioral Disorder Screening Questionnaire (RBDSQ). These parameters explained 37.2% of the variability of the change in ACE-R. The most significant predictors in the univariate logistic regression were the speech index of rhythmicity (SPIR; p = 0.012), disease duration (p = 0.019), and the RBDSQ (p = 0.032). The multivariate regression analysis revealed that SPIR alone led to 73.2% accuracy in predicting a change in cognitive status. Combining SPIR with RBDSQ improved the prediction accuracy of SPIR alone by 7.3%. CONCLUSIONS: Impairment of speech prosody together with symptoms of RBD predicted rapid cognitive decline and worsening of PD cognitive status during a two-year period.
Citace poskytuje Crossref.org
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