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Disease Burden of Spinal Muscular Atrophy: A Comparative Cohort Study Using Insurance Claims Data in the USA

BACKGROUND: Spinal muscular atrophy (SMA) is a neuromuscular disease caused by homozygous deletion or loss-of-function mutations of the survival of motor neuron 1 (SMN1) gene, resulting in reduced levels of SMN protein throughout the body. Patients with SMA may have multiple tissue defects, which co...

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Detalles Bibliográficos
Autores principales: Mouchet, Julie, Roumpanis, Spyros, Gaki, Eleni, Lipnick, Scott, Oskoui, Maryam, Scalco, Renata S., Darras, Basil T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881018/
https://www.ncbi.nlm.nih.gov/pubmed/36314213
http://dx.doi.org/10.3233/JND-210764
Descripción
Sumario:BACKGROUND: Spinal muscular atrophy (SMA) is a neuromuscular disease caused by homozygous deletion or loss-of-function mutations of the survival of motor neuron 1 (SMN1) gene, resulting in reduced levels of SMN protein throughout the body. Patients with SMA may have multiple tissue defects, which could present prior to neuromuscular symptoms. OBJECTIVE: To assess the signs, comorbidities and potential extraneural manifestations associated with SMA in treatment-naïve patients. METHODS: This observational, retrospective and matched-cohort study used secondary insurance claims data from the US IBM(®) MarketScan(®) Commercial, Medicaid and Medicare Supplemental databases between 01/01/2000 and 12/31/2013. Treatment-naïve individuals aged≤65 years with≥2 International Classification of Diseases, Ninth Revision (ICD-9) SMA codes were stratified into four groups (A–D), according to age at index (date of first SMA code recorded) and type of ICD-9 code used, and matched with non-SMA controls. The occurrence of ICD-9 codes, which were converted to various classifications (phecodes and system classes), were compared between groups in pre- and post-index periods. RESULTS: A total of 1,457 individuals with SMA were included and matched to 13,362 controls. Increasing numbers of SMA-associated phecodes and system classes were generally observed from pre- to post-index across all groups. The strongest associations were observed in the post-index period for the youngest age groups. Endocrine/metabolic disorders were associated with SMA in almost all groups and across time periods. CONCLUSIONS: This exploratory study confirmed the considerable disease burden in patients with SMA and identified 305 unique phecodes associated with SMA, providing a rationale for further research into the natural history and progression of SMA, including extraneural manifestations of the disease.