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. 2023 Sep 20;18(1):295.
doi: 10.1186/s13023-023-02906-z.

Scoliosis in osteogenesis imperfecta: identifying the genetic and non-genetic factors affecting severity and progression from longitudinal data of 290 patients

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Scoliosis in osteogenesis imperfecta: identifying the genetic and non-genetic factors affecting severity and progression from longitudinal data of 290 patients

Peikai Chen et al. Orphanet J Rare Dis. .

Abstract

Background: Scoliosis is widely prevalent among osteogenesis imperfecta (OI) patients, and is progressive with age. However, factors affecting scoliosis in OI are not well known.

Methods: We retrospectively retrieved longitudinal radiographic and clinical records of consecutive OI patients seeking treatments at our hospital from 2014 to 2022, graded their pre-operative spinal conditions into four outcome groups, estimated their progression rates, and descriptively and inferentially analyzed the genetic and non-genetic factors that may affect the outcomes and progression rates.

Results: In all, 290 OI patients met the inclusion criteria, where 221 had genetic records. Of these 221, about 2/3 had mutations in COL1A1 or COL1A2, followed by mutations in WNT1 (9.0%), IFITM5 (9.0%) and other OI risk genes. With an average age of 12.0 years (interquartile range [IQR] 6.9-16.1), 70.7% of the cohort had scoliosis (Cobb angle > 10°), including 106 (36.5%) mild (10°-25°), 40 (13.8%) moderate (25°-50°), and 59 (20.3%) severe (> 50°) scoliosis patients. Patients with either COL1A1 and COL1A2 were strongly biased toward having mild or no scoliosis, whereas patients with mutations in IFITM5, WNT1 and other recessive genes were more evenly distributed among the four outcome grades. Lower-limb discrepancy, bone mineral density (BMD) and age of first drug used were all significantly correlated with severity outcomes. Using multivariate logistic regression, we estimated that each year older adds an odds ratio of 1.13 (95% confidence interval [CI] 1.07-1.2) in progression into advanced stages of scoliosis. We estimated a cohort-wide progression rate of 2.7 degrees per year (95% CI 2.4-3.0). Early-onset patients experienced fast progressions during both infantile and adolescent stages. Twenty-five of the 59 (42.8%) patients with severe scoliosis underwent spinal surgeries, enjoying an average Cobb angle reduction of 33° (IQR 23-40) postoperatively.

Conclusion: The severity and progression of scoliosis in osteogenesis imperfecta were affected by genetic factors including genotypes and mutation types, and non-genetic factors including age and BMD. As compared with COL1A1, mutations in COL1A2 were less damaging while those on IFITM5 and other recessive genes conferred damaging effects. Progression rates were the fastest in the adolescent adult age-group.

Keywords: Genetics; Logistic regression; Multivariate regression; Osteogenesis imperfecta; Progression rate; Scoliosis.

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Conflict of interest statement

The authors declare that they do not have any competing interest.

Figures

Fig. 1
Fig. 1
Progression rate estimates with respect to age. Each data point is an estimate of the progression rate for two adjacent radiographs of a patient. The age is the mid-point of the ages associated with those two radiographs. The curves were fitted results of LOESS regressions, and the shaded areas were the corresponding standard error envelopes. A All data points of progression rate estimates, including estimates for patients without scoliosis (many were zero-valued), were used. B Only positive data points were used. C The data points were stratified according the onset age groups. EOS early onset, LOS late onset, ‘unknown’ all other patients with scoliosis

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References

    1. Forlino A, Marini JC. Osteogenesis imperfecta. Lancet. 2016;387(10028):1657–1671. doi: 10.1016/S0140-6736(15)00728-X. - DOI - PMC - PubMed
    1. Chen P, et al. Phenotypic spectrum and molecular basis in a Chinese cohort of osteogenesis imperfecta with mutations in type I collagen. Front Genet. 2022;13:816078. doi: 10.3389/fgene.2022.816078. - DOI - PMC - PubMed
    1. Chen P, et al. Patient-reported outcomes in a Chinese cohort of osteogenesis imperfecta unveil psycho-physical stratifications associated with clinical manifestations. Orphanet J Rare Dis. 2022;17(1):249. doi: 10.1186/s13023-022-02394-7. - DOI - PMC - PubMed
    1. Marini JC, et al. Osteogenesis imperfecta. Nat Rev Dis Primers. 2017;3:17052. doi: 10.1038/nrdp.2017.52. - DOI - PubMed
    1. Liang X, et al. Comprehensive risk assessments and anesthetic management for children with osteogenesis imperfecta: a retrospective review of 252 orthopedic procedures over 5 years. Paediatr Anaesth. 2022;32(7):851–861. doi: 10.1111/pan.14454. - DOI - PubMed

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