Surgical treatment for scoliosis associated with rare disease

T. Greggi, F. Lolli, E. Maredi, M. Di Silvestre, K. Martikos, F. Vommaro, S. Giacomini, A. Baioni, A. Cioni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This is a retrospective study of 11 patients, 7 females and 4 males, treated at Our Department for an early onset scoliosis (EOS) associated with rare syndromes with growing spinal implants (Growing Rod or VEPTR-like) from 2006 to 2011. Mean follow-up was 24 months (range, 12 to 36). The mean age at surgery was 7. Patients were affected by Escobar's syndrome (1), scoliosis associated to congenital heart disease (1), Arnold Chiari type 1 (1), syringomyelia (1), NF 1 (2), Prader-Willi syndrome (1), trisomy 8 (1), arthrogryposis (2) and spondylo-rib dysplasia (1). Each patient was studied from the genetic point of view, and were performed: brain-spine MRI, pulmonary function tests, Cardio-US and abdominal US, neuropsychiatric and neurological evaluation, C0-C2 CT scan. After first implant and lengthening procedures (11), the correction of the thoracic curve averaged 50%. Unfortunately, a little loss of correction of the lumbar curve occurred during the follow up. There were 8 post-operative complications, that required revision surgery in 2 cases. Our results confirmed the effectiveness and safety of growing spinal implants in the treatment of early-onset scoliosis in rare syndromes

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
Pages326-329
Number of pages4
Volume176
DOIs
Publication statusPublished - 2012
Event9th Biennial Meeting of the International Research Society of Spinal Deformities, IRSSD 2012 - Poznan, Poland
Duration: Jul 1 2012Jul 4 2012

Other

Other9th Biennial Meeting of the International Research Society of Spinal Deformities, IRSSD 2012
Country/TerritoryPoland
CityPoznan
Period7/1/127/4/12

Keywords

  • Early onset scoliosis
  • Growing rod
  • Rare diseases
  • VEPTR

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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