• Lakshmanan Sivasundaram, Joseph E Tanenbaum, Sunita Rp Mengers, Nikunj N Trivedi, Charles A Su, Michael J Salata, George Ochenjele, James E Voos, and Robert J Wetzel.
• University Hospitals of Cleveland, Case Western Reserve University, Cleveland, OH, United States; MetroHealth Medical Center, Cleveland, OH, United States.
• Injury. 2020 Apr 1; 51 (4): 1015-1020.

BackgroundPost-discharge management following operative treatment of hip fractures continues to be performed on a case-by-case basis, with no uniform guidelines dictating management. Predicting discharge to post-acute care (PAC) facilities (i.e. skilled nursing facilities and inpatient rehabilitation facilities) can assist preoperative planning and potentially decrease length of stay secondary to disposition issues. The goal of this study was to develop a nomogram using easily identified variables to preoperatively predict discharge disposition following operative treatment of hip fractures.MethodsUsing the National Surgical Quality Improvement Program database, patients who underwent surgical intervention for hip fractures between 2012 and 2015 were identified. A multivariable logistic regression model was used to identify risk factors for discharge to a PAC facility, and a predictive nomogram was created based on these results.ResultsFrom 2012 to 2015, 33,371 hip fractures were identified: 13,336 (40%) femoral neck fractures, and 20,035 (60%) intertrochanteric femur fractures. Of the patients identified, 26,082 (78.2%) were discharged to a PAC while the remainder were discharged home with or without home health. 70% of patients were female and 92.4% were Caucasian. When accounting for comorbidities, using the American Society of Anesthesiologists (ASA) classification system, 6,122 patients (18.4%) had 'Mild Systemic Disease' (ASA 2), 20,872 (62.6%) patients had 'Severe Systemic Disease' (ASA 3), and 6,006 (18.1%) had 'Life Threatening Disease' (ASA 4/5). The majority of patients were brought in from a 'Home' setting, while 10.4% of patients were admitted from a 'Long-Term Care' setting. After controlling for confounding variables, older age and increasing ASA class were predictive of an increased risk of discharge to a PAC. Diabetes, dyspnea, congestive heart failure, and chronic obstructive pulmonary disease were not associated with an increased risk of discharge to a PAC.DiscussionDischarge disposition following operative treatment of hip fractures can be reliably predicted using a nomogram with commonly identified preoperative variables.Level Of EvidenceLevel III, Retrospective Cohort Design, Observational Study.Copyright © 2020. Published by Elsevier Ltd.

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