Total joint arthroplasty is regarded as a highly successful procedure. However, patient outcomes and implant longevity require proper alignment and prosthesis position. Computer-assisted total knee arthroplasty (TKA) has been found to improve the accuracy of component positioning and reduce rates of revision, however there remains debate whether it provides improvements in patient reported outcomes (PROs). The purpose of our study was to compare PROs between computer-assisted and conventional TKA. A retrospective review of all total knee arthroplasty patients was conducted using a single institution's FORCE database for reporting PROs. Knee Society Score (KSS), procedure satisfaction, physical component summary (PCS), and mental component summary (MCS) were compared between computer-assisted TKA and conventional TKA.Introduction
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A comprehensive understanding of pelvic orientation prior to total hip arthroplasty is necessary to allow proper cup positioning and mitigate the risks of complications associated with component malpositioning. Measurements using anteroposterior (AP) radiographs have been described as effective means of accurately predicting pelvic orientation. The purpose of our study was to describe the inter- and intra-observer reliability and predictive accuracy of predicting pelvic tilt using AP radiographs. Five fellowship-trained orthopaedic surgeons independently analyzed pelvic tilt, within 10 degrees, for 50 different AP pelvis radiographs. All surgeons were blinded to patient information, diagnosis, and correct measurements prior to analysis. Responses were then compared to correct measurements using sitting-standing AP and lateral stereoradiographs.Introduction
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Complications can be defined as preventable, potentially preventable, or non-preventable. While often discussed, there are virtually no data whether or not the most common causes of revision total hip arthroplasty (THA) are preventable or not. The goal of this study was to identify and report preventable causes of revision THA within 5 years of the index THA. We conducted a retrospective review of 128 consecutive revision THAs between August 2015 and August 2017, with 62% being referred from another institution. Mean time to revision THA from the index arthroplasty was 10 months. Mean age at revision THA was 61 years, with 67% being female. Three fellowship-trained adult reconstruction surgeons reviewed the radiographs and operative notes and classified the revision THAs into two categories: preventable vs. non-preventable. Reviewers were instructed to be extremely lenient with the benefit of the doubt given to the operative surgeon. Inter-observer reliability was assessed by Cohen's kappa analysis.Introduction
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Interferon (IFN) based treatments for chronic hepatitis C (HCV) have been the standard of care until 2014 when direct antiviral agents (DAA) were introduced. Patients with HCV have had extremely high complication rates after total hip arthroplasty (THA). It is unknown whether HCV is a modifiable risk factor for these complications prior to THA. The purpose of this study was 1) to compare perioperative complication rates between untreated and treated HCV in THA and 2) to compare these rates between patients treated with two different therapies (IFN vs. DAA). A multicenter retrospective database query was used to identify patients diagnosed with chronic hepatitis C virus who underwent total hip arthroplasty from 2006–2016. All patients (n=105) identified were included and were divided into two groups: untreated HCV (n=63) and treated (n=42); the treated group were further subdivided into those receiving IFN based therapies (n=16) or DAA therapies (n=26). Comparisons between the treated and untreated groups were made with respect to demographic data, comorbidities, preoperative viral load, MELD score, and all surgical (≤1 yr) and medical (≤90d) complications; a sub-group analysis of the treated patients was also performed. Separate independent t-tests were conducted for dependent variables that were normally distributed, and Mann-Whitney U tests were conducted for variables which were not normally distributed. Categorical variables were compared through the chi-square test of independence. The level of statistical significance was set at p<0.05.Introduction
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