1. Can Dopamine Responsiveness Be Predicted in Parkinson’s Disease Without an Acute Administration Test?
- Author
-
Betrouni, Nacim, Moreau, Caroline, Rolland, Anne-Sophie, Carrière, Nicolas, Viard, Romain, Lopes, Renaud, Kuchcinski, Gregory, Eusebio, Alexandre, Thobois, Stephane, Hainque, Elodie, Hubsch, Cecile, Rascol, Olivier, Brefel, Christine, Drapier, Sophie, Giordana, Caroline, Durif, Franck, Maltête, David, Guehl, Dominique, Hopes, Lucie, Rouaud, Tiphaine, Jarraya, Bechir, Benatru, Isabelle, Tranchant, Christine, Tir, Melissa, Chupin, Marie, Bardinet, Eric, Defebvre, Luc, Corvol, Jean-Christophe, Devos, David, Lille Neurosciences & Cognition - U 1172 (LilNCog), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), École des Hautes Études en Santé Publique [EHESP] (EHESP), CHU Lille, Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Plateformes Lilloises en Biologie et Santé - UAR 2014 - US 41 (PLBS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), CHU Marseille, CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université - Faculté de Médecine (SU FM), Sorbonne Université (SU), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Hôpital de la Fondation Ophtalmologique Adolphe de Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Service de Neurologie [CHU Nice], Hôpital Pasteur [Nice] (CHU)-Centre Hospitalier Universitaire de Nice (CHU Nice), CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand, Différenciation et communication neuronale et neuroendocrine (DC2N), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Rouen, Normandie Université (NU), CHU Bordeaux [Bordeaux], Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre hospitalier universitaire de Nantes (CHU Nantes), CHU Amiens-Picardie, Laboratoire de Neurosciences Fonctionnelles et Pathologies - UR UPJV 4559 (LNFP), and Université de Picardie Jules Verne (UPJV)
- Subjects
Antiparkinson Agents ,Levodopa ,Cellular and Molecular Neuroscience ,Dopamine ,[SCCO.NEUR]Cognitive science/Neuroscience ,Humans ,Parkinson Disease ,Neurology (clinical) ,Magnetic Resonance Imaging - Abstract
Background: Dopamine responsiveness (dopa-sensitivity) is an important parameter in the management of patients with Parkinson’s disease (PD). For quantification of this parameter, patients undergo a challenge test with acute Levodopa administration after drug withdrawal, which may lead to patient discomfort and use of significant resources. Objective: Our objective was to develop a predictive model combining clinical scores and imaging. Methods: 350 patients, recruited by 13 specialist French centers and considered for deep brain stimulation, underwent an acute L-dopa challenge (dopa-sensitivity > 30%), full assessment, and MRI investigations, including T1w and R2* images. Data were randomly divided into a learning base from 10 centers and data from the remaining centers for testing. A machine selection approach was applied to choose the optimal variables and these were then used in regression modeling. Complexity of the modelling was incremental, while the first model considered only clinical variables, the subsequent included imaging features. The performances were evaluated by comparing the estimated values and actual values Results: Whatever the model, the variables age, sex, disease duration, and motor scores were selected as contributors. The first model used them and the coefficients of determination (R2) was 0.60 for the testing set and 0.69 in the learning set (p
- Published
- 2022