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Table 5 Logistic regression model revealed key predictors of scoliosis severity in OI

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

 

OR (95% CI)

p values

Dataset 1: all 290 patients

Age (per year)

1.13 (1.07 ~ 1.2)

p < 0.001***

Gender female (vs. male)

1.43 (0.78–2.63)

0.25

Genotypes

 COL1A1 or COL1A2

Reference

 IFITM5

3.71 (1.13–12.25)

0.029*

 WNT1

3.37 (1.06–10.69)

0.037*

 All other AR genes

3.16 (1.03–9.63)

0.041*

 No mutation

1.92 (0.43–7.91)

0.37

 Not tested

1.33 (0.6–2.88)

0.473

Drugs used

 Nevera

Reference

 Pamidronate

3.78 (1.09–13.94)

0.04*

 Zoledronate

1.96 (0.59–7)

0.285

BMD Z-scores (per SD)

0.82 (0.7–0.95)

0.011*

Has LLD (vs. no LLD)

1.07 (0.57–1.99)

0.825

Dataset 2: the 145 COL1A1/2 patients only

Age (per year)

1.13 (1.05–1.22)

0.001**

Gender female (vs. male)

1.81 (0.73–4.55)

0.199

Genotype COL1A2b

0.28 (0.1–0.71)

0.01*

Mutation-type qualitativec

3.84 (1.34–12.52)

0.017*

BMD Z-scores (per SD)

0.79 (0.61–0.99)

0.048*

Has LLD (vs. no LLD)

0.57 (0.21–1.47)

0.253

  1. OR odds ratio, CI confidence interval, SD standard deviation, LLD lower-limb discrepancy
  2. aNever treated with bisphosphonates or monoclonal antibodies
  3. bReference is COL1A1
  4. cReference is “Quantitative”. Model: hasAdvancedScoliosis ~ covariates. Advanced scoliosis: moderate or severe scoliosis. Covariates for dataset 1 included age, gender, genotypes, drugs used, BMD (Z scores) and LLD. Covariates for dataset 2 included age, gender, genotypes, mutation types, BMD (Z scores) and LLD
  5. *p < 0.05; **p < 0.01; ***p < 0.001