The spine journal : official journal of the North American Spine Society
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Multicenter Study
Machine learning algorithms for prediction of health-related quality-of-life after surgery for mild degenerative cervical myelopathy.
Degenerative cervical myelopathy (DCM) is the most common cause of spinal cord dysfunction worldwide. Current guidelines recommend management based on the severity of myelopathy, measured by the modified Japanese Orthopedic Association (mJOA) score. Patients with moderate to severe myelopathy, defined by an mJOA below 15, are recommended to undergo surgery. However, the management for mild myelopathy (mJOA between 15 and 17) is controversial since the response to surgery is more heterogeneous. ⋯ Machine learning models showed good predictive power and provided information about the phenotypes of mild DCM patients most likely to benefit from surgical intervention. Overall, machine learning may be a useful tool for management of mild DCM, though external validation and prospective analysis should be performed to better solidify its role.
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The complication profile and higher cost of care associated with preoperative opioid use and spinal fusion is well described. However, the burden of opioid use and its impact in patients undergoing lumbar discectomy is not known. Knowledge of this, especially for a relatively benign and predictable procedure will be important in bundled and value-based payment models. ⋯ Chronic preoperative opioid use was present in 12% of a national cohort of lumbar discectomy patients. Such opioid use was associated with significantly higher post-operative healthcare utilization, risk of revision surgery, and costs at 90-days and 1-year postoperatively. Two-third of chronic preoperative opioid users had continued long-term postoperative opioid use. However, a 3-month prescription free period before surgery in chronic opioid users reduces the risk of long-term postoperative use. This data will be useful for patient education, pre-operative opioid use optimization, and risk-adjustment in value-based payment models.
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Studies regarding treatment of spinal metastases are critical to evidence-based decision-making. However, variation exists in how a key outcome, ambulatory function, is assessed. ⋯ Wide variation exists in how ambulatory function is defined in studies involving patients with spinal metastases. We suggest several improvements that will allow a more robust assessment of the quality and quantity of ambulatory function among patients treated for spinal metastases.
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Little is known about the effects of sleep disturbance (SD) on clinical outcomes after spine surgery. ⋯ One-quarter of spine surgery patients reported preoperative SD of at least moderate severity. Poor preoperative sleep quality and ongoing postoperative sleep disturbance were significantly associated with worse scores on several HRQoL measures. These results highlight the importance of addressing patients' sleep disturbance both before and after surgery.
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The implementation of a dual attending surgeon strategy had improved perioperative outcomes of idiopathic scoliosis (IS) patients. Nevertheless, the learning curve of a dual attending surgeon practice in single-staged posterior spinal fusion (PSF) surgery has not been established. ⋯ The learning curve of a dual surgeon strategy in single-staged PSF surgery based on operative time and total blood loss were established at 115th case and 196th case respectively (p<.001).