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

Author:

Mouchet Julie1,Roumpanis Spyros1,Gaki Eleni2,Lipnick Scott345,Oskoui Maryam6,Scalco Renata S.1,Darras Basil T.7

Affiliation:

1. F. Hoffmann-La Roche Ltd, Basel, Switzerland

2. Roche Products Ltd, Welwyn Garden City, UK

3. Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA

4. Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA

5. Center for Assessment Technology & Continuous Health (CATCH), Massachusetts General Hospital, Boston, MA, USA

6. Departments of Pediatrics and Neurology Neurosurgery, McGill University, Montreal, QC, Canada

7. Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA

Abstract

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.

Publisher

IOS Press

Subject

Neurology (clinical),Neurology

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