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Barrois R, Barnerias C, Deladrière E, Leloup-Germa V, Tervil B, Audic F, Boulay C, Cances C, Cintas P, Davion JB, Espil-Taris C, Manel V, Pereon Y, Piarroux J, Quijano Roy S, Vuillerot C, Walther-Louvier U, Desguerre I, Gitiaux C. A new score combining compound muscle action potential (CMAP) amplitudes and motor score is predictive of motor outcome after AVXS-101 (Onasemnogene Abeparvovec) SMA therapy. Neuromuscul Disord 2023; 33:309-314. [PMID: 36881951 DOI: 10.1016/j.nmd.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 01/17/2023] [Accepted: 02/10/2023] [Indexed: 02/13/2023]
Abstract
Spinal muscular atrophy 1 (SMA1) is a severe early genetic disease with degeneration of motor neurons. Motor development is still suboptimal after gene replacement therapy in symptomatic patients. In this study, compound muscle action potential (CMAP) amplitudes were explored as predictors of motor recovery after gene therapy. Thirteen symptomatic SMA1 patients were prospectively included at the Necker Enfants Malades Hospital, Paris, France (Cohort 1) and 12 at the other pediatric neuromuscular reference centers of the French Filnemus network (Cohort 2). In Cohort 1, median CMAP amplitudes showed the best improvement between baseline and the 12 months visit compared to the other tested nerves (ulnar, fibular and tibial). High median CMAP amplitudes at baseline was associated with unaided sitting achievement at M6 (AUC 90%). None of the patients with CHOPINTEND at M0 < 30/64 and median CMAP < 0.5 mV achieved unaided sitting at M6 and this result was confirmed on Cohort 2 used as an independent validation data. Thus, median CMAP amplitude is a valid biomarker for routine practice to predict sitting at M6. A median CMAP amplitude over 0.5 mV at baseline may predict better motor recovery.
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Affiliation(s)
- R Barrois
- Centre de Référence des Maladies Neuromusculaires Nord/Est/Ile de France, AP-HP, Hôpital Necker Enfants Malades, Université Paris-Cité, Paris, France; Centre Borelli - UMR 9010 Centre Borelli, Gif-sur-Yvette 91190, France.
| | - C Barnerias
- Centre de Référence des Maladies Neuromusculaires Nord/Est/Ile de France, AP-HP, Hôpital Necker Enfants Malades, Université Paris-Cité, Paris, France
| | - E Deladrière
- Centre de Référence des Maladies Neuromusculaires Nord/Est/Ile de France, AP-HP, Hôpital Necker Enfants Malades, Université Paris-Cité, Paris, France
| | - V Leloup-Germa
- Centre de Référence des Maladies Neuromusculaires Nord/Est/Ile de France, AP-HP, Hôpital Necker Enfants Malades, Université Paris-Cité, Paris, France
| | - B Tervil
- Centre Borelli - UMR 9010 Centre Borelli, Gif-sur-Yvette 91190, France
| | - F Audic
- Centre de Référence des Maladies Neuromusculaires, Service de Neuropédiatrie, Hôpital Timone Enfants, Marseille, France
| | - C Boulay
- Centre de Référence des Maladies Neuromusculaires, Service de Neuropédiatrie, Hôpital Timone Enfants, Marseille, France
| | - C Cances
- Unité d'explorations neurophysiologiques, Département de neurologie, CHU de Toulouse - Hôpital Pierre-Paul Riquet, Toulouse, France
| | - P Cintas
- Unité d'explorations neurophysiologiques, Département de neurologie, CHU de Toulouse - Hôpital Pierre-Paul Riquet, Toulouse, France
| | - J B Davion
- Centre de Référence des Maladies Neuromusculaires Nord/Est/Ile de France, Service de Neuropédiatrie, Hôpital Salengro CHU Lille, Lille, France
| | - C Espil-Taris
- Centre de référence Maladies neuromusculaires AOC, Neurologie pédiatrique, CHU de Bordeaux, Bordeaux, France
| | - V Manel
- Service de neurologie pédiatrique, Hôpital Femme Mère Enfant, Lyon, France
| | - Y Pereon
- Centre de Référence des Maladies Neuromusculaires Atlantique Occitanie Caraïbes, Filnemus, Euro-NMD, Explorations Fonctionnelles, CHU Nantes, Nantes, France
| | - J Piarroux
- Service de neuropédiatrie, Pôle Femme Mère Enfant, CHU de Montpellier - Hôpital Gui de Chauliac, Montpellier, France
| | - S Quijano Roy
- Centre de Références des Maladies Neuromusculaires, Service de Neurologie Pédiatrique et Réanimation, Hôpital Raymond Poincaré, AP-HP Université Paris Saclay (UVSQ), Garches, France
| | - C Vuillerot
- Service de Médecine physique et réadaptation pédiatriques, Hôpital Femme Mère Enfant, Lyon, France
| | - U Walther-Louvier
- Centre de Référence des Maladies Neuromusculaires, Hôpital Gui de Chauliac, CHU Montpellier, Montpellier, France
| | - I Desguerre
- Centre de Référence des Maladies Neuromusculaires Nord/Est/Ile de France, AP-HP, Hôpital Necker Enfants Malades, Université Paris-Cité, Paris, France; Université Paris Cité, IHU Imagine, Paris F-75015, France
| | - C Gitiaux
- Centre de Référence des Maladies Neuromusculaires Nord/Est/Ile de France, AP-HP, Hôpital Necker Enfants Malades, Université Paris-Cité, Paris, France; Service d'explorations Fonctionnelles, unité de Neurophysiologie Clinique, AP-HP, Hôpital Necker Enfants Malades, Paris, France
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Scoring People With Spinal Muscular Atrophy on the Motor Function Measure Using the Microsoft Kinect. Pediatr Phys Ther 2023; 35:36-41. [PMID: 36288197 DOI: 10.1097/pep.0000000000000968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE Assess the ability of the Kinect to capture movement and posture of people with spinal muscular atrophy (SMA) during completion of 14 items of the Motor Function Measure, a validated functional rating scale for people with neuromuscular diseases. METHODS Multicenter feasibility study in which Motor Function Measure items were scored as usual by the participant's therapist during the completion (Score-T) while another therapist scored items based only on the visualization of digital data collected using the Kinect (Score-D). Agreement and disagreement were investigated. RESULTS Twenty people with SMA type 2 or 3 were participants; 142 items were recorded and analyzed. There was 31.7% agreement between Score-T and Score-D for participants with SMA type 2, and 76.2% for those with SMA type 3. CONCLUSIONS The results prevent us from considering the use of Kinect capture to deduce an automated scoring, but this device may be of interest to highlight potential compensations.
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