Lee, S., Deltour, N., Garry, E., Ferreras, A., Jacquot, E., McElwee, S., Sajedian, R., Kurteva, S., Boin, E., Poll, A., Davies, R., Walter, M., Jagut, M., Haberlová, J., Cattinari, M., Marini-Bettolo, C., Ekström, A., Belmonte, M. de Lemus, Breen, K., and Servais, L.
Spinal muscular atrophy (SMA), a rare neurodegenerative disorder with an estimated incidence of 1 in 6,000 to 10,000 live births, is the leading genetic cause of mortality in infants and children. Since the approval of new disease modifying treatments (DMTs; Spinraza in 2017, Zolgensma in 2020, and Evrysdi in 2021), studies have reported modified disease trajectories compared to the known SMA natural history. To describe the natural history of SMA and its progression during the use of DMTs in real-world settings, a retrospective cohort study was designed. Feasibility assessment identified six appropriate SMA registries to take part, comprising data from nine European countries (3 clinician-based registries: Belgium, Czech Republic & Slovakia, Sweden and 3 patient-based registries: Germany & Austria, Spain, UK & Ireland) between April 2008 and May 2023 federated in the TREAT-NMD network. Among 2,188 SMA patients with genetically confirmed 5q SMA, more patients had SMA type 2 (41.8%) than type 3 (35.6%) and type 1 (19.7%); 1,321 (60.3% overall) were treated with Spinraza (75,9%), Evrysdi (30.5%) or Zolgensma (7.6%), and 847 (38.7%) never received treatment. Functional status and motor milestones were rarely reported in never treated patients. Among treated patients, best functional status for SMA types 1, 2, and 3 was "sitter" for 36.6%, 60.9%, and 5.3%, and "walker" for 12.0%, 24.6%, and 87.8% respectively. Best motor milestone for types 1 and 2 was "sit without support" for 27.2% and 38.0%, and "roll onto side" for 18.5% and 2.0% respectively. For type 3, 63.4% reported "climb stairs" and 19.3% reported "walk 10 meters without assistance". Functional status and motor milestones were well captured after treatment but rarely reported before, limiting evaluation of treatment related changes. Areas of improvement for registry data quality have been identified to reduce data missingness, increase standardization, and enhance their utility to inform regulatory decision making. Disclaimer: "This study was funded by the European Medicines Agency and registered in EU PAS (EUPAS50476). The views expressed in this abstract are the personal views of the authors and may not be understood or quoted as being made on behalf of or reflecting the position of the regulatory agency/agencies or organizations with which the authors are employed/affiliated." [ABSTRACT FROM AUTHOR]