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of growth velocity curves. Multiple linear regression analysis was used to analyze the contributions of each maturity assessments to AV, while logistic regression model was constructed to identify the high risk factors of AV more than 5° per year. Results Thirty IS girls were included in this study. Correlation was found between SV and HV (r=0.314, P=0.001). AV was significantly correlated with SV (r=0.414, P<0.001) and HV (r=0.275, P=0.005), respectively. The multiple linear regression analysis showed that AV was influenced by SV (B=0.199, P=0.001) instead of HV (B=0.187, P=0.354). The logistic regression analysis demonstrated that PSV (OR=5.052, P=0.001) rather than PHV (OR=1.979, P=0.144) was the high risk indicator for the occurrence of AV more than 5° per year. Conclusions Variations of curve progressive velocity were influenced more directly by SV rather than HV, and congruously onset of PSV were endowed with the high risk of the occurrence of AV more than 5° per year in IS girls with curve progression of 10° or more, indicating the high clinical value of measurement of spinal growth in the treatment of IS.

scoliosis

Spine velocity provides more accurate assessment of curve progression than height velocity in progressive female idiopathic scoliosis undergoing bracing treatment