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https://www.selleckchem.com/products/ab928.html BACKGROUND Post-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. METHODS Using 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. RESULTS From 2012 to 2015, 33,371 hip fractures were identified 13,336 (40%) following operative treatment of hip fractures can be reliably predicted using a nomogram with commonly identified preoperative variables. LEVEL OF EVIDENCE Level III, Retrospective Cohort Design, Observational Study. OBJECTIVES To evaluate the efficacy of conventional microbiological examinations in the diagnostics of septic joint and periprosthetic inflammations. DESIGN AND SETTING Evidence Level IV, retrospective clinical study of case series. Patients treated with small and large joint septic inflammations or with periprosthetic joint infections (PJI) were entered into the study. Demographics, microbiological cultures and inflammatory mediators were evaluated. PARTICIPANTS Between 2012 and 2016, total of 1116 hip and 241 knee surgeries were performed at our Department in relation to prostheses; including primary and revision arthroplasties and further surgeries due to PJI. During this period, 72 patients were o

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