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Disease Trajectories in the Revised Hammersmith Scale in a Cohort of Untreated Patients with Spinal Muscular Atrophy types 2 and 3

Lookup NU author(s): Dr Anna Mayhew, Robert Muni Lofra, Professor Chiara Marini Bettolo

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

Background: Spinal muscular atrophy (SMA) is a neuromuscular disorder characterised by progressive motor function decline. Motor function is assessed using several functional outcome measures including the Revised Hammersmith Scale (RHS). Objective: In this study, we present longitudinal trajectories for the RHS in an international cohort of 149 untreated paediatric SMA 2 and 3 patients (across 531 assessments collected between March 2015 and July 2019). Methods: We contextualise these trajectories using both the Hammersmith Functional Motor Scale Expanded (HFMSE) and Revised Upper Limb Module (RULM). At baseline, this cohort included 50% females and 15% of patients had undergone spinal fusion surgery. Patient trajectories were modelled using a natural cubic spline with age, sex, and random effects for each patient. Results: RHS and HFMSE scores show similar trends over time in this cohort not receiving disease modifying therapies. The results confirm the strong correlation between the RHS and RULM previously observed in SMA types 2 and 3a. Scoliosis surgery is associated with a reduction of 3 points in the RHS, 4.5 points in the HFMSE for the SMA 2 population, and a reduction of 11.8 points in the RHS, and 13.4 points in the HFMSE for the SMA 3a populations. When comparing the RHS and RULM, there is a lower correlation in the type 3a's than the type 2 patients. In the SMA 2 population, there is no significant difference between the sexes in either the RHS or HFMSE trajectories. There is no significant difference in the RULM trajectory in the SMA 2 or 3a participants by sex. Conclusions: This study demonstrates that the RHS could be used in conjunction with other functional measures such as the RULM to holistically detect SMA disease progression. This will assist with fully understanding changes that occur with treatments, further defining trajectories and therapy outcomes.


Publication metadata

Author(s): Wolfe A, Stimpson G, Ramsey D, Coratti G, Dunaway Young S, Mayhew A, Pane M, Rohwer A, Muni Lofra R, Duong T, O'Reilly E, Milev E, Civitello M, Sansone VA, D'Amico A, Bertini E, Messina S, Bruno C, Albamonte E, Mazzone E, Main M, Montes J, Glanzman AM, Zolkipli-Cunningham Z, Pasternak A, Marini-Bettolo C, Day JW, Darras BT, De Vivo DC, Baranello G, Scoto M, Finkel RS, Mercuri E, Muntoni F

Publication type: Article

Publication status: Published

Journal: Journal of Neuromuscular Diseases

Year: 2024

Volume: 11

Issue: 3

Pages: 665-677

Online publication date: 30/04/2024

Acceptance date: 30/01/2024

Date deposited: 15/05/2024

ISSN (print): 2214-3599

ISSN (electronic): 2214-3602

Publisher: IOS Press

URL: https://doi.org/10.3233/JND-230211

DOI: 10.3233/JND-230211

Data Access Statement: The data supporting the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

PubMed id: 38427497


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Funding

Funder referenceFunder name
07DN02
ASAMSI
37787
515048
Cure SMA
GSP 13002
Famiglie SMA
MR/K501074/1
MRC Translational Research Centre at UCL and Newcastle
Muscular Dystrophy UK
National Institute for Health Research Biomedical Research Centre
SMA REACH UK project
SMA Trust
SMA Foundation
Telethon

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