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DOI 10.3233/jnd-210764

Медицинская библиотека · Journal of neuromuscular diseases · 2023

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

Mouchet Julie, Roumpanis Spyros, Gaki Eleni, Lipnick Scott, Oskoui Maryam, Scalco Renata S, Darras Basil T

Наблюдательное исследованиеСтатьяПеревод пока не подготовлен

Аннотация

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.

Для цитирования: Mouchet Julie, Roumpanis Spyros, Gaki Eleni, Lipnick Scott, Oskoui Maryam, Scalco Renata S, Darras Basil T. Disease Burden of Spinal Muscular Atrophy: A Comparative Cohort Study Using Insurance Claims Data in the USA.. Journal of neuromuscular diseases. 2023. DOI: 10.3233/jnd-210764.

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