European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
-
To compare long-term care escalation encounters among three care patterns for new episodes of neck pain among Medicare beneficiaries. ⋯ Initial spinal manipulative therapy was associated with a significant reduction in downstream care escalation encounters among Medicare beneficiaries with new episodes of neck pain. Our study contributes to a growing body of evidence supporting the integration of non-pharmacological care strategies for neck pain management.
-
Three-column osteotomies (3COs), such as pedicle subtraction osteotomy (PSO) and vertebral column resection (VCR), are used to surgically correct rigid adult spinal deformity (ASD). While extensive research exists about complications associated with 3COs, there remains a paucity of studies analyzing risk factors for mortality following 3CO. We believe the mortality rate after 3-column osteotomy will be low with specific identifiable demographic or medical risk factors. ⋯ Thirty-day mortality after 3CO is 1.2% globally. The greatest univariate risk factors are diabetes, COPD, and frailty. Regardless of age, sex, or BMI, it was found that COPD and duration of surgery were independently associated with increased rates of mortality.
-
To compare the long-term outcomes among AIS (10-18 years) and young AdIS (YAdIS) (19-40 years) patients with minimum 2 year follow up. ⋯ Despite differences in operative characteristics, idiopathic scoliosis (IS) patients who underwent corrective surgery at a younger age had comparable PROMs and 2 year outcomes to older patients. Corrective fusion surgery is safe and effective in both adolescents and young adults and may avoid the higher complication rates seen in older adults.
-
To develop a deep learning system for automatic segmentation of compression fracture vertebral bodies on thoracolumbar CT and differentiate between fresh and old fractures. ⋯ The deep learning model can automatically and accurately segment the vertebral bodies with compression fractures and classify them as fresh or old fractures, thereby assisting clinicians in making clinical decisions.