Aims. With recent progress in cancer treatment, the number of advanced-age patients with spinal metastases has been increasing. It is important to clarify the influence of advanced age on outcomes following surgery for spinal metastases, especially with a focus on subjective health state values. Methods. We prospectively analyzed 101 patients with spinal metastases who underwent palliative surgery from 2013 to 2016. These patients were divided into two groups based on age (< 70 years and ≥ 70 years). The Eastern Cooperative Oncology Group (ECOG) performance status (PS), Barthel index (BI), and EuroQol-5 dimension (EQ-5D) score were assessed at study enrolment and at one, three, and six months after surgery. The survival times and complications were also collected. Results. In total, 65 patients were aged < 70 years (mean 59.6 years; 32 to 69) and 36 patients were aged ≥ 70 years (mean 75.9 years; 70 to 90). In both groups, the PS improved from PS3 to PS1 by spine surgery, the mean BI improved from < 60 to > 80 points, and the mean EQ-5D score improved from 0.0 to > 0.7 points. However, no significant differences were found in the improvement rates and values of the PS, BI, and EQ-5D score at any time points between the two groups. The PS, BI, and EQ-5D score improved throughout the follow-up period in approximately 90% of patients in each group. However, the improved PS, BI, and EQ-5D scores subsequently deteriorated in some patients, and the redeterioration rate of the EQ-5D was significantly higher in patients aged ≥ 70 than < 70 years (p = 0.027). Conclusion. Palliative surgery for spinal metastases improved the PS, activities of daily living, and quality of life, regardless of age. However, clinicians should be aware of the higher risk of redeterioration of the quality of life in advanced-age patients. Cite this article: Bone Joint J 2020;102-B(12):1709–1716

Aims

To determine the major risk factors for unplanned reoperations (UROs) following corrective surgery for adult spinal deformity (ASD) and their interactions, using machine learning-based prediction algorithms and game theory.