ArticleSpine deformity2026
Surgical invasiveness, reoperation, and preoperative depression are predictive of super-utilization in adult spinal deformity surgery.
Article in Spine deformity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeA subset of adult spinal deformity (ASD) patients undergoing corrective surgery receive a disproportionate level of medical resources and incur greater costs. We examined the characteristics of such super-utilizers of health care resources among ASD patients.
methodsThis prospective, multicenter study analyzed data from ASD patients with > 4 levels of spinal fusion and a minimum 2-year follow-up. Index and total episode-of-care (EOC) costs in 2022 US dollars were calculated using average itemized direct costs obtained from administrative hospital records. Patients with total 2-year EOC cost > 90th percentile were considered super-utilizers, the characteristics of which we identified through a multivariate generalized logistic model.
resultsOf 1299 eligible patients, mean age was 60 years, 73% were female and 92% were Caucasian. Super-utilizers were older (+2.1 years; p = 0.012), had greater depression (34.2 vs 25.7%; p = 0.03), increased frailty (p = 0.009) comorbidities (p = 0.005), higher reoperation rates (54.4 vs 15.0%; p < 0.001), hospital length of stay (+ 3 days; p < 0.0001), higher surgical invasiveness (+28.6; p < 0.001), more vertebrae fused (+ 3; p < 0.0001); interbody fusions (80 vs 55%; p < 0.0001), bone morphogenetic protein (BMP) use (87.3 vs 69.4%; p = 0.0001), operative time (+91 min; p < 0.0001), and blood loss (+620 mL; p < 0.0001) compared to other ASD patients. Index cost was 65% (p < 0.0001), and cost/quality-adjusted life-year was three times higher among super-utilizers.
conclusionASD patients with depression who undergo more complex or revision spinal surgical procedures are more likely to be super-utilizers. Identifying likely super-utilizers within the ASD population may enable targeted interventions and preoperative planning to reduce unnecessary costs, while improving patient outcomes.
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