The researchers examined 483 patients who enrolled in a prospective multicenter adult spinal deformity database from the population. The researchers conducted the Scoliosis Research Society-22 and Oswestry Disability Index separately and initially proposed primary variables of diagnosis, age, lordosis gap and coronal curve. The researchers found:
1. Only BMI and gender in their regression models with the lordosis gap were highly predictive for the Oswestry Disability Index.
2. Only gender in their regression models with the age was highly predictive.
3. There were several parameters in the basic model for SRS-22, but only BMI, gender, coronal balance, lordosis curve and sagittal vertical axis in the lordosis gap model were highly predictive; in the model with age only gender was highly predictive.
4. The coronal curve location wasn’t significantly predictive for any model.
5. The researchers concluded, “These findings reiterate the importance of patient diagnosis, age and/or the amount of lordosis as the most important factors affecting HRQL in ASD. Gender, BMI and sagittal vertical axis appear to be consistently important co-variables whereas coronal balance and magnitude of L curves may also be important in SRS-22.”
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