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Presynaptic Dopaminergic Imaging Characterizes Patients with REM Sleep Behavior Disorder Due to Synucleinopathy

D. Arnaldi, P. Mattioli, S. Raffa, M. Pardini, F. Massa, A. Iranzo, A. Perissinotti, A. Niñerola-Baizán, C. Gaig, M. Serradell, A. Muñoz-Lopetegi, G. Mayà, C. Liguori, M. Fernandes, F. Placidi, A. Chiaravalloti, K. Šonka, P. Dušek, D. Zogala, J....

. 2024 ; 95 (6) : 1178-1192. [pub] 20240311

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, multicentrická studie

Perzistentní odkaz   https://www.medvik.cz/link/bmc24013756

Grantová podpora
AG62677 Foundation for the National Institutes of Health
Monument Trust Discovery Award from Parkinson's UK
P50 AG016574 NIA NIH HHS - United States
VEGA 1/0712/22 Slovak Scientific Grant Agency
NS100620 Foundation for the National Institutes of Health
Ministero della Salute
GE Healthcare
AG071754 Foundation for the National Institutes of Health
R34 AG056639 NIA NIH HHS - United States
Mayo Clinic Dorothy and Harry T. Mangurian Jr. Lewy Body Dementia Program
LX22NPO5107 National Institute for Neurological Research
Little Family Foundation
Ministero dell'Università e della Ricerca
U19 AG071754 NIA NIH HHS - United States
AG056639 Foundation for the National Institutes of Health
P30 AG062677 NIA NIH HHS - United States
Ted Turner and Family Foundation
APVV-22-0279 Agentúra na Podporu Výskumu a Vývoja
NU21-04-00535 Czech Ministry of Health
National Institute for Health and Care Research
AG016574 Foundation for the National Institutes of Health
APVV-18-0547 Agentúra na Podporu Výskumu a Vývoja
U01 NS100620 NINDS NIH HHS - United States

OBJECTIVE: To apply a machine learning analysis to clinical and presynaptic dopaminergic imaging data of patients with rapid eye movement (REM) sleep behavior disorder (RBD) to predict the development of Parkinson disease (PD) and dementia with Lewy bodies (DLB). METHODS: In this multicenter study of the International RBD study group, 173 patients (mean age 70.5 ± 6.3 years, 70.5% males) with polysomnography-confirmed RBD who eventually phenoconverted to overt alpha-synucleinopathy (RBD due to synucleinopathy) were enrolled, and underwent baseline presynaptic dopaminergic imaging and clinical assessment, including motor, cognitive, olfaction, and constipation evaluation. For comparison, 232 RBD non-phenoconvertor patients (67.6 ± 7.1 years, 78.4% males) and 160 controls (68.2 ± 7.2 years, 53.1% males) were enrolled. Imaging and clinical features were analyzed by machine learning to determine predictors of phenoconversion. RESULTS: Machine learning analysis showed that clinical data alone poorly predicted phenoconversion. Presynaptic dopaminergic imaging significantly improved the prediction, especially in combination with clinical data, with 77% sensitivity and 85% specificity in differentiating RBD due to synucleinopathy from non phenoconverted RBD patients, and 85% sensitivity and 86% specificity in discriminating PD-converters from DLB-converters. Quantification of presynaptic dopaminergic imaging showed that an empirical z-score cutoff of -1.0 at the most affected hemisphere putamen characterized RBD due to synucleinopathy patients, while a cutoff of -1.0 at the most affected hemisphere putamen/caudate ratio characterized PD-converters. INTERPRETATION: Clinical data alone poorly predicted phenoconversion in RBD due to synucleinopathy patients. Conversely, presynaptic dopaminergic imaging allows a good prediction of forthcoming phenoconversion diagnosis. This finding may be used in designing future disease-modifying trials. ANN NEUROL 2024;95:1178-1192.

Center of Sleep Medicine Dokkyo Medical University Hospital Tochigi Japan

Clinic of Sleep and Chronomedicine St Hedwig Hospital Berlin Germany

Department of Biomedical Metabolic and Neural Sciences University of Modena and Reggio Emilia Modena Italy

Department of Biomedicine and Prevention University of Rome Tor Vergata Rome Italy

Department of Brain and Behavioral Sciences University of Pavia Pavia Italy

Department of Business and Management LUISS University Rome Italy

Department of Environment and Health Istituto Superiore di Sanità Rome Italy

Department of Neurology and Center of Clinical Neuroscience 1st Faculty of Medicine Charles University and General University Hospital Prague Czech Republic

Department of Neurology Dokkyo Medical University Saitama Medical Center Saitama Japan

Department of Neurology Mayo Clinic Rochester Minnesota USA

Department of Neurology P J Safarik University Kosice Slovak Republic

Department of Neurology University Hospital of L Pasteur Kosice Slovak Republic

Department of Neuroscience University of Genoa Genoa Italy

Department of Neurosciences Biomedicine and Movement Sciences University of Verona Verona Italy

Department of Radiology Mayo Clinic Rochester Minnesota USA

Department of Systems Medicine University of Rome Tor Vergata Rome Italy

Division of Neurology Nuffield Department of Clinical Neurosciences Oxford University Oxford UK

EuroMov Digital Health in Motion Univ Montpellier IMT Mines Ales Montpellier France

Institute of Cognitive Sciences and Technologies Consiglio Nazionale delle Ricerche Rome Italy

Institute of Nuclear Medicine 1st Faculty of Medicine Charles University and General University Hospital Prague Czech Republic

Institute of Physiology Sleep Research and Clinical Chronobiology Charité Universitätsmedizin Berlin Berlin Germany

IRCCS Istituto delle Scienze Neurologiche di Bologna Bologna Italy

IRCCS Neuromed Pozzilli Italy

IRCCS Ospedale Policlinico San Martino Genoa Italy

Neurology Service Sleep Disorder Centre Hospital Clínic Barcelona Universitat de Barcelona IDIBAPS CIBERNED CB06 05 0018 ISCIII Barcelona Spain

Nuclear Medicine Service Hospital Clínic Barcelona Biomedical Research Networking Centre of Bioengineering Biomaterials and Nanomedicine ISCIII Barcelona Spain

Nuclear Medicine Unit Department of Medical Science and Public Health University of Cagliari Cagliari Italy

Nuclear Medicine Unit Department of Medical Sciences University of Turin Turin Italy

Nuclear Medicine Unit ICS Maugeri SpA SB IRCCS Pavia Italy

Nuclear Medicine Unit University Hospital of Montpellier Montpellier France

Sleep and Neurology Department Beau Soleil Clinic Montpellier France

Sleep Disorder Center Department of Public Health and Clinical and Molecular Medicine University of Cagliari Cagliari Italy

Sleep Medicine and Epilepsy Unit IRCCS Mondino Foundation Pavia Italy

Sleep Medicine Center Neurology Unit University Hospital of Rome Tor Vergata Rome Italy

Citace poskytuje Crossref.org

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$a Presynaptic Dopaminergic Imaging Characterizes Patients with REM Sleep Behavior Disorder Due to Synucleinopathy / $c D. Arnaldi, P. Mattioli, S. Raffa, M. Pardini, F. Massa, A. Iranzo, A. Perissinotti, A. Niñerola-Baizán, C. Gaig, M. Serradell, A. Muñoz-Lopetegi, G. Mayà, C. Liguori, M. Fernandes, F. Placidi, A. Chiaravalloti, K. Šonka, P. Dušek, D. Zogala, J. Trnka, BF. Boeve, T. Miyagawa, VJ. Lowe, T. Miyamoto, M. Miyamoto, M. Puligheddu, M. Figorilli, A. Serra, MT. Hu, JC. Klein, F. Bes, D. Kunz, V. Cochen De Cock, D. de Verbizier, G. Plazzi, E. Antelmi, M. Terzaghi, I. Bossert, K. Kulcsárová, A. Martino, A. Giuliani, M. Pagani, F. Nobili, S. Morbelli, International REM Sleep Behavior Disorder Study Group
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