This study evaluates patient reported outcome measurement information system (PROMIS) scores after total hip arthroplasty (THA) and total ankle arthroplasty (TAA) in matched cohorts, while simultaneously evaluating implant survivorship and 90-day hospital utilization. It is hypothesized that while both procedures would yield similar PROMIS score improvements, THA would demonstrate superior mid-term implant survivorship. Primary THA and TAA patients from 2015–2022 with minimum one-year follow-up were retrospectively reviewed. After applying exclusion criteria, 2,092 THAs and 478 TAAs were included for analysis. Demographics, pre- and post-operative patient reported outcome measures (PROMs), revision surgeries, ED visits, and re-admissions were collected. THA and TAA patients were then propensity score matched at 2:1 ratio for age, sex, race, BMI, ASA, and comorbidities, resulting in a final cohort of 844 THAs and 455 TAAs for comparison. There were similar pre-operative PROMIS Pain Interference (PI) scores between THA and TAA, with both showing improvement at six weeks. However, THA patients exhibited lower PI scores at one year (53.0 versus 54.0; p=0.009). Pre-operative PROMIS Physical Function (PF) was worse in THA patients but showed greater improvement compared to TAA patients at both six weeks (p<0.001) and one year (p<0.001). Pre-operative PROMIS depression scores were similar and improved similarly in both groups. Joint-specific PROMs (HOOS for THA and FAAM for TAA) improved in both cohorts. THA demonstrated superior survivorship free of all-cause revision at five years compared to TAA (95% versus 77%; p<0.0001). Patients undergoing THA or TAA experienced significant improvements in their general and joint-specific PROMs post-operatively. However, patients undergoing THA demonstrated higher PROMIS PI and PF scores at one-year when compared to TAA, as well as improved survivorship. Generic PRO instruments enable comparison of medical treatments in different anatomic sites to the patients overall health.
Patient-reported outcome measures have become an important part of routine care. The aim of this study was to determine if Patient-Reported Outcomes Measurement Information System (PROMIS) measures can be used to create patient subgroups for individuals seeking orthopaedic care. This was a cross-sectional study of patients from Duke University Department of Orthopaedic Surgery clinics (14 ambulatory and four hospital-based). There were two separate cohorts recruited by convenience sampling (i.e. patients were included in the analysis only if they completed PROMIS measures during a new patient visit). Cohort #1 (n = 12,141; December 2017 to December 2018,) included PROMIS short forms for eight domains (Physical Function, Pain Interference, Pain Intensity, Depression, Anxiety, Sleep Quality, Participation in Social Roles, and Fatigue) and Cohort #2 (n = 4,638; January 2019 to August 2019) included PROMIS Computer Adaptive Testing instruments for four domains (Physical Function, Pain Interference, Depression, and Sleep Quality). Cluster analysis (K-means method) empirically derived subgroups and subgroup differences in clinical and sociodemographic factors were identified with one-way analysis of variance.Aims
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Survival after contemporary solid organ transplant (SOT) is increasing, and demand for total hip arthroplasty (THA) among SOT recipients is rising accordingly. The purpose of this study is to compare the perioperative outcomes and short-term implant- and patient-survivorship of contemporary THA following the most common types of SOT. Among SOT recipients, 119 primary THAs (92 patients, 39% female) were performed at a single institution from 2000–2020 and were retrospectively reviewed at a mean follow-up of 3.6yrs. Revisions, conversion to THA and multiple organs transplanted were excluded. The most common SOT was renal (39%), followed by lung (34%), liver (18%) and heart (8%). Demographics, peri-operative outcomes, 90-day re-admissions, re-operations and mortality were compared between SOT groups using chi-squared, Fisher's exact, Wilcoxon tests and Cox proportional hazard ratios.Introduction
Methods
Tibial cones are often utilized in revision total knee arthroplasty (TKA) with metaphyseal defects. However, there are few studies evaluating outcomes out to five years with a sufficient cohort. The purpose of this study was to evaluate implant survivorship and complications in revision TKAs with tibial cones. A retrospective review was completed from September 2006 through March 2018 evaluating 149 revision TKAs that received a tibial cone. The mean follow-up was 5.3 years. According to the AORI classification: 8% were 1, 18% were 2A, 55% were 2B, and 19% were 3.Introduction
Methods
Alternative payment models for total hip arthroplasty (THA) were initiated by the Center for Medicare and Medicaid Services (CMS) to decrease overall healthcare cost by optimizing healthcare delivery. The associated shift of financial risk to participating institutions has been criticized to introduce patient selection in order to avoid potentially high cost of care. This study aimed to evaluate the impact of the Comprehensive Care for Joint Replacement (CJR) model on patient selection, care delivery and hospital costs at a single care center. This is a retrospective review of THA patient from July 2015-December 2017 was performed. Patient were stratified by insurance type (Medicare and commercial insurance) and whether care was provided before or after implementation of the CJR bundle. Patient age, gender, and BMI, as well as Elixhauser comorbidities and ASA scores were analyzed. Delivery of care variables including surgery duration, discharge disposition, length of stay, and direct hospital costs were compared before and after CJR implementation.Introduction
Methods
Recent focus has queried whether of deoxyribonucleic acid (DNA) sequencing modalities of bacterial DNA found in periarticular fluid and tissues will improve in periprosthetic joint infection (PJI) diagnosis and organism identification diagnostic accuracy for periprosthetic joint infection The purpose of this study was to compare the diagnostic accuracy of next generation sequencing (NGS) to polymerase chain reaction (PCR) multiplex, and culture, the Musculoskeletal Infection Society (MSIS) criteria, and the recently proposed criteria by Parvizi et al. [1] in the diagnosis of periprosthetic knee infections. In this retrospective study, aspirate or tissue samples were collected in 70 revision and 58 primary knee arthroplasties for routine diagnostic workup for PJI and sent to the laboratory for NGS and PCR multiplex. Concordance along with statistical differences between diagnostic studies were calculated using Chi-squared test for categorical data.Introduction
Methods
Bundled reimbursement models for total knee arthroplasty (TKA) by the Center for Medicare and Medicaid Services (CMS) have resulted in an effort to decrease the cost of care. However, these models may incentivize bias in patient selection to avoid excess cost of care. We sought to determine the impact of the Comprehensive Care for Joint Replacement (CJR) model at a single center. This is a retrospective review of primary TKA patients from July 2015-December 2017. Patients were stratified by whether or not their surgery was performed before or after implementation of the CJR bundle. Patient demographic data including age, sex, and BMI were collected in addition to Elixhauser comorbidities and ASA score. In-hospital outcomes were then examined including surgery duration, length of stay, discharge disposition, and direct cost of care.Introduction
Methods
The Comprehensive Care for Joint Replacement (CJR) model for total hip arthroplasty (THA) involves a target reimbursement set by the Center for Medicare and Medicaid Services (CMS). Many patients exceed these targets, but predicting risk for incurring these excess costs remains challenging, and we hypothesized that select patient characteristics would adequately predict CJR cost overruns. Demographic factors and comorbidities were retrospectively reviewed in 863 primary unilateral CJR THAs performed between 2013 and 2017 at a single institution. A predictive model was built from 31 validated comorbidities and a base set of 5 patient factors (age, gender, BMI, ASA, marital status). A multivariable logistic regression model was refined to include only parameters predictive of exceeding the target reimbursement level. These were then assigned weights relative to the weakest parameter in the model.Introduction
Methods
Hip fractures are a common pathology treated by Orthopaedic surgeons. The Comprehensive Care for Joint Replacement (CJR) model utilizes risk stratification to set target prices for these patients undergoing hemiarthroplasty or total hip arthroplasty (THA). We hypothesized that sub-specialty arthroplasty surgeons would be able to treat patients at a lower cost compared to surgeons of other specialties during cases performed while on call. Patients with hemiarthroplasty or THA for hip fractures were retrospectively collected from June, 2013, to May, 2017, from a single tertiary referral center. Demographic information and outcomes based on length of stay (LOS), net payment, and target payment were collected. Patients were then stratified by surgeon subspecialty (arthroplasty trained vs. other specialty). Univariable and multivariable analysis for payment based on treating surgeon was then performed.Introduction
Methods
Malpositioning of the tibial component is a common error in TKR. In theory, placement of the tibial tray could be improved by optimization of its design to more closely match anatomic features of the proximal tibia with the motion axis of the knee joint. However, the inherent variability of tibial anatomy and the size increments required for a non-custom implant system may lead to minimal benefit, despite the increased cost and size of inventory. This study was undertaken to test the hypotheses:
That correct placement of the tibial component is influenced by the design of the implant. The operative experience of the surgeon influences the likelihood of correct placement of contemporary designs of tibial trays. CAD models were generated of all sizes of 7 widely used designs of tibial trays, including symmetric (4) and asymmetric (3) designs. Solid models of 10 tibias were selected from a large anatomic collection and verified to ensure that they encompassed the anatomic range of shapes and sizes of Caucasian tibias. Each computer model was resected perpendicular to the canal axis with a posterior slope of 5 degrees at a depth of 5 mm distal to the medial plateau. Fifteen joint surgeons and fourteen experienced trainees individually determined the ideal size and placement of each tray on each resected tibia, corresponding to a total of 2030 implantations. For each implantation we calculated: (i) the rotational alignment of the tray; (ii) its coverage of the resected bony surface, and (iii) the extent of any overhang of the tray beyond the cortical boundary. Differences in the parameters defining the implantations of the surgeons and trainees were evaluated statistically.Introduction
Materials and Methods
