Impact of scoliosis surgery on pulmonary function in patients with muscular dystrophies and spinal muscular atrophy

2020 ◽  
Vol 55 (4) ◽  
pp. 1037-1042
Author(s):  
Harold J. Farber ◽  
William A. Phillips ◽  
Kenneth L. Kocab ◽  
Darrell S. Hanson ◽  
John A. Heydemann ◽  
...  
2016 ◽  
Vol 26 (6) ◽  
pp. 1721-1731 ◽  
Author(s):  
Shih-Hsiang Chou ◽  
Gau-Tyan Lin ◽  
Po-Chih Shen ◽  
Yi-Jing Lue ◽  
Cheng-Chang Lu ◽  
...  

2021 ◽  
Author(s):  
Abduljabber Alhammoud ◽  
Yahya Othman ◽  
Ron El-Hawary ◽  
William G. Mackenzie ◽  
Jason J. Howard

AbstractScoliosis often occurs coincident with pulmonary function deterioration in spinal muscular atrophy but a causal relationship has not yet been reliably established. A systematic literature review was performed, with pulmonary function testing being the primary outcome pre- and post-scoliosis surgery. Levels of evidence were determined and GRADE recommendations made. Ninety studies were identified with only 14 meeting inclusion criteria. Four studies were level III and the rest were level IV evidence. The average age at surgical intervention was 11.8 years (follow-up 6.1 years). Post-operative pulmonary function progressively declined for the majority of studies. Otherwise, pulmonary function: improved (two studies), were unchanged (two studies), had a decreased rate of decline (three studies), declined initially then returned to baseline (two studies). Respiratory and spine-based complications were common. Given the available evidence, the following GRADE C recommendations were made: (1) surgery is most often associated with decreases in pulmonary function; (2) the impact of surgery on pulmonary function is variable, but does not improve over pre-operative baseline; (3) surgery may result in a decreased rate of decline in pulmonary function post-operatively. Given this lack of evidence-based support, the risk–benefit balance should be taken into consideration when contemplating scoliosis surgery.


2003 ◽  
Vol 39 (9) ◽  
pp. 673-676 ◽  
Author(s):  
SY Chng ◽  
YQ Wong ◽  
JH Hui ◽  
HK Wong ◽  
HT Ong ◽  
...  

1994 ◽  
Vol 9 (3) ◽  
pp. 326-329 ◽  
Author(s):  
F.J. Samaha ◽  
C.R. Buncher ◽  
B.S. Russman ◽  
M.L. White ◽  
S.T. Iannaccone ◽  
...  

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Hiroko Matsumoto ◽  
John Mueller ◽  
Matthew Konigsberg ◽  
Jacob Ball ◽  
Tricia St. Hilaire ◽  
...  

2018 ◽  
Vol 6 (6) ◽  
pp. 809-810
Author(s):  
Mitchell Johnson ◽  
Suzanne Ho ◽  
Didja Hilmara ◽  
Nirupa Galagedera ◽  
Robert Campbell ◽  
...  

Neurology ◽  
2019 ◽  
Vol 93 (2) ◽  
pp. e149-e158 ◽  
Author(s):  
Camiel A. Wijngaarde ◽  
Rob C. Brink ◽  
Floor A.S. de Kort ◽  
Marloes Stam ◽  
Louise A. M. Otto ◽  
...  

ObjectiveTo investigate the natural course of scoliosis and to estimate lifetime probability of scoliosis surgery in spinal muscular atrophy (SMA).MethodsWe analyzed cross-sectional data from 283 patients from our population-based cohort study. Additional longitudinal data on scoliosis progression and spinal surgery were collected from 36 consecutive patients who received scoliosis surgery at our center.ResultsThe lifetime probability of receiving scoliosis surgery was ≈80% in SMA types 1c and 2. Patients with type 2 who only learned to sit (type 2a) were significantly younger at time of surgery than those who learned to sit and stand (type 2b). The lifetime risk of surgery was lower in type 3a (40%) and strongly associated with age at loss of ambulation: 71% in patients losing ambulation before 10 years of age vs 22% losing ambulation after the age of 10 years (p = 0.005). In type 3a, preserving the ability to walk 1 year longer corresponded to a 15% decrease in lifetime risk of scoliosis surgery (hazard ratio 0.852, p = 0.017). Scoliosis development was characterized by initial slow progression, followed by acceleration in the 1.5- to 2-year period before surgery.ConclusionThe lifetime probability of scoliosis surgery is high in SMA types 1c and 2 and depends on age at loss of ambulation in type 3. Motor milestones such as standing that are not part of the standard classification system are of additional predictive value. Our data may act as a reference to assess long-term effects of new SMA-specific therapies.


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