• Sultan Aldebeyan, Ahmed Aoude, Maryse Fortin, Anas Nooh, Peter Jarzem, Jean Ouellet, and Michael H Weber.
• McGill Scoliosis & Spine Centre, McGill University Health Centre, Montreal, Canada.
• Spine. 2016 Oct 1; 41 (19): 1535-1541.

Study DesignRetrospective cohort study of the prospective collected American College of Surgeons National Surgical Quality Improvement Program database.ObjectiveThe aim of the study was to identify predictive factors for the need of discharging patients to a facility other than home after lumbar spine fusion surgery.Summary Of Background DataLumbar spine fusion surgery is a common surgical procedure used to treat a variety of lumbar spine conditions. A great number of patients fail to go home after surgery and require admission to a rehabilitation center. Predictive factors for discharging patients to a facility other than home after lumbar fusion surgery do not exist in the literature.MethodsA total of 15,092 patients undergoing lumbar spine fusion were dichotomized based on discharge destination to patients who were discharged home (N = 12,339) and others who were discharged to a facility other than home (N = 2753). Outcomes included patient demographics, comorbidities, and clinical characteristics. A multivariate logistic regression was used to identify whether outcomes studied were predictive factors for discharging patients to a facility other than home after lumbar fusion surgery.ResultsMajority of patients were discharged home after lumbar fusion surgery (81.76%), with only some discharged to a facility other than home (18.24%). Multivariate analysis identified age, female sex, comorbidities (diabetes, chronic obstructive pulmonary disease, congestive heart failure, hypertension, and obesity), minor and major complications, hospital length of stay, operative time at least 259 minutes, and multilevel surgery as significant predictive factors of discharging patients to a facility other than home after lumbar fusion surgery.ConclusionThe identified predictive factors can help the health system in developing an algorithm for early recognition of patients requiring postoperative admission to a facility other than home and possibly decreasing their hospital length of stay. This can significantly decrease the hospital costs for such patients.Level Of Evidence3.

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