Putaminal Dopamine Turnover in de novo Parkinson's Disease Predicts Later Neuropsychiatric Fluctuations but Not Other Major Health Outcomes.


Journal

Journal of Parkinson's disease
ISSN: 1877-718X
Titre abrégé: J Parkinsons Dis
Pays: Netherlands
ID NLM: 101567362

Informations de publication

Date de publication:
2019
Historique:
pubmed: 6 8 2019
medline: 30 7 2020
entrez: 6 8 2019
Statut: ppublish

Résumé

To investigate the predictive value of striatal dopamine turnover in patients with de novo Parkinson's disease (PD) for later occurrence of major non-motor health outcomes. This retrospective, observer-blinded cohort study followed up 29 patients with de novo PD for a median of 10.7 years, who completed 18Fluorodopa PET imaging to measure striatal effective distribution volume ratio (EDVR, inverse of dopamine turnover) prior to antiparkinsonian treatment. Outcomes were assessed with a battery of non-motor, health-related quality-of-life and non-motor fluctuation (WOQ-19) measures and survival. During follow-up, 52% of patients developed wearing-off, 43% neuropsychiatric fluctuations, 35% sensory fluctuations, 32% dementia, 46% depression, 30% psychosis, and PD-related mortality was 26%. Patients with wearing-off and neuropsychiatric fluctuations showed significantly lower baseline EDVR (higher dopamine turnover) in the putamen but not in the caudate nucleus than those without these fluctuations. Consistently, baseline EDVR in the putamen predicted development of wearing-off and neuropsychiatric fluctuations with a lower risk with higher EDVR (lower dopamine turnover), whereas EDVR in caudate nucleus did not correlate with these fluctuations. No relationships were observed between baseline PET measures and the presence of other major health outcomes including survival. Lower putaminal dopamine turnover in de novo PD is associated with reduced risk for later neuropsychiatric fluctuations comprising a disease-intrinsic predisposing factor for their development, similar as reported for levodopa-induced motor complications. Striatal (putaminal/caudate) dopamine turnover is not predictive for other long-term major health outcomes. These results should be treated as hypothesis generating and require confirmation.

Sections du résumé

BACKGROUND AND OBJECTIVE
To investigate the predictive value of striatal dopamine turnover in patients with de novo Parkinson's disease (PD) for later occurrence of major non-motor health outcomes.
METHODS
This retrospective, observer-blinded cohort study followed up 29 patients with de novo PD for a median of 10.7 years, who completed 18Fluorodopa PET imaging to measure striatal effective distribution volume ratio (EDVR, inverse of dopamine turnover) prior to antiparkinsonian treatment. Outcomes were assessed with a battery of non-motor, health-related quality-of-life and non-motor fluctuation (WOQ-19) measures and survival.
RESULTS
During follow-up, 52% of patients developed wearing-off, 43% neuropsychiatric fluctuations, 35% sensory fluctuations, 32% dementia, 46% depression, 30% psychosis, and PD-related mortality was 26%. Patients with wearing-off and neuropsychiatric fluctuations showed significantly lower baseline EDVR (higher dopamine turnover) in the putamen but not in the caudate nucleus than those without these fluctuations. Consistently, baseline EDVR in the putamen predicted development of wearing-off and neuropsychiatric fluctuations with a lower risk with higher EDVR (lower dopamine turnover), whereas EDVR in caudate nucleus did not correlate with these fluctuations. No relationships were observed between baseline PET measures and the presence of other major health outcomes including survival.
CONCLUSIONS
Lower putaminal dopamine turnover in de novo PD is associated with reduced risk for later neuropsychiatric fluctuations comprising a disease-intrinsic predisposing factor for their development, similar as reported for levodopa-induced motor complications. Striatal (putaminal/caudate) dopamine turnover is not predictive for other long-term major health outcomes. These results should be treated as hypothesis generating and require confirmation.

Identifiants

pubmed: 31381528
pii: JPD191672
doi: 10.3233/JPD-191672
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D
Dopamine VTD58H1Z2X

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

693-704

Auteurs

Matthias Löhle (M)

Department of Neurology, University of Rostock, Rostock, Germany.
German Centre for Neurodegenerative Diseases (DZNE) Rostock, Rostock, Germany.

Wiebke Hermann (W)

Department of Neurology, University of Rostock, Rostock, Germany.
German Centre for Neurodegenerative Diseases (DZNE) Rostock, Rostock, Germany.
Department of Neurology, Technische Universität Dresden, Dresden, Germany.

Denise Hausbrand (D)

Department of Neurology, Technische Universität Dresden, Dresden, Germany.

Martin Wolz (M)

Department of Neurology, Elblandklinikum Meißen, Meissen, Germany.

Julia Mende (J)

Department of Neurology, Technische Universität Dresden, Dresden, Germany.

Bettina Beuthien-Baumann (B)

Department of Nuclear Medicine, Technische Universität Dresden, Dresden, Germany.
Positron Emission Tomography Division, Helmholtz-Zentrum Dresden-Rossendorf; Dresden, Germany.
German Cancer Research Centre (DKFZ), Radiology, Heidelberg, Germany.

Liane Oehme (L)

Department of Nuclear Medicine, Technische Universität Dresden, Dresden, Germany.

Jörg van den Hoff (J)

Positron Emission Tomography Division, Helmholtz-Zentrum Dresden-Rossendorf; Dresden, Germany.

Jörg Kotzerke (J)

Department of Nuclear Medicine, Technische Universität Dresden, Dresden, Germany.

Heinz Reichmann (H)

Department of Neurology, Technische Universität Dresden, Dresden, Germany.

Andreas Hermann (A)

Department of Neurology, University of Rostock, Rostock, Germany.
German Centre for Neurodegenerative Diseases (DZNE) Rostock, Rostock, Germany.
Department of Neurology, Technische Universität Dresden, Dresden, Germany.

Alexander Storch (A)

Department of Neurology, University of Rostock, Rostock, Germany.
German Centre for Neurodegenerative Diseases (DZNE) Rostock, Rostock, Germany.

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Classifications MeSH