Key result
Spinal muscular atrophy was associated with 305 unique phecodes and an increased burden of comorbidities, particularly endocrine/metabolic disorders, compared to matched non-SMA controls.
Why the study?
Patients with spinal muscular atrophy may have multiple tissue defects presenting prior to neuromuscular symptoms, but the signs, comorbidities, and potential extraneural manifestations in treatment-naïve patients needed assessment.
Cohort (n=14,819)
This study confirms a considerable disease burden and identifies 305 unique phecodes associated with SMA, highlighting potential extraneural manifestations.
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.
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Mouchet et al. (2022) conducted a cohort in Spinal muscular atrophy (n=14,819). Spinal muscular atrophy vs. Non-SMA controls was evaluated on Occurrence of ICD-9 codes (phecodes and system classes). Spinal muscular atrophy was associated with 305 unique phecodes and an increased burden of comorbidities, particularly endocrine/metabolic disorders, compared to matched non-SMA controls.
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