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Details

Autor(en) / Beteiligte
Titel
Type I SMA “new natural history”: long‐term data in nusinersen‐treated patients
Ist Teil von
  • Annals of clinical and translational neurology, 2021-03, Vol.8 (3), p.548-557
Ort / Verlag
United States: John Wiley & Sons, Inc
Erscheinungsjahr
2021
Quelle
Wiley Online Journals
Beschreibungen/Notizen
  • Objective The aim of this paper was to report the 2‐year follow‐up in type I patients treated with Nusinersen and to assess whether possible changes in motor function are related to the subtype, age, or SMN2 copy number. Methods Sixty‐eight patients, with ages ranging from 0.20 to 15.92 years (mean: 3.96; standard deviation: +3.90) were enrolled in the study. All patients were assessed using the Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders (CHOP INTEND) and the developmental section of the Hammersmith Infant Neurological Examination (HINE‐2) at the time they started treatment and 12 and 24 months after that. Results For both CHOP and HINE‐2 repeated measures analysis of variance showed a significant difference (P < 0.001) between baseline and 12 months, 12 months and 24 months, and baseline and 24‐month scores for the whole group. When age subgroups (<210 days, <2 years, 2–4 years, 5–11 years, 12–18 years) were considered, on the CHOP INTEND the difference was significant between baseline and 24 months in all age subgroups. On the HINE‐2, the difference between baseline and 24 months was significant in all the subgroups before the age of 4 years. Age was predictive of changes on both scales (P < 0.05), whereas SMN2 copy number and decimal classification were not. Interpretation Our results suggest that some improvement of motor function can be observed even after the first year of treatment. This is more obvious in the infants treated in the first 2 years but some improvement can also be found in older children.
Sprache
Englisch
Identifikatoren
ISSN: 2328-9503
eISSN: 2328-9503
DOI: 10.1002/acn3.51276
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_21f37327eb0f4e088a3f71a02ca0497d
Format
Schlagworte
Age, Classification, Variance analysis

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