Comparison of Five-Day vs. Fourteen-Day Incubation of Cultures for Diagnosis of Periprosthetic Joint Infection in Hip Arthroplasty.

Background: Periprosthetic joint infections (PJI) are among the most morbid complications in total hip arthroplasty (THA). The ideal incubation time, however, for intraoperative cultures for PJI diagnosis remains unclear. As such, the aim of this study was to determine if any differences existed in culture-positive rates and organism detection between five-day and fourteen-day cultures. Methods: This retrospective cohort study consisted of THA cases diagnosed with PJI performed between May 2014 and May 2020 at a single tertiary-care institution. Analyses compared five-day and fourteen-day cultures and carried out a pre-specified subgroup analysis by organism and PJI type. Results: A total of 147 surgeries were performed in 101 patients (57.1% females), of which 65% (n = 98) obtained five-day cultures and 34% (n = 49) obtained fourteen-day cultures. The positive culture rate was 67.3% (n = 99) with Staphylococcus aureus being the most common pathogen identified (n = 41 specimens, 41.4%). The positive culture rate was not significantly different between groups (66.3% five-day, 69.4% fourteen-day, p = 0.852). Fourteen-day cultures had a significantly longer time-to-positive culture (5.0 days) than five-day cultures (3.0 days, p < 0.001), a higher rate of fungi (5.6% vs. 0%), and a lower rate of Gram-negatives (4.5% vs. 18.7%, p = 0.016). Conclusions: Fourteen-day cultures did not increase the positivity rate, had higher rates of slow-growth pathogens, and had a longer time-to-positivization than five-day cultures. Prolonged culture holds may provide more thorough organism detection for PJI without increasing the diagnostic culture yield.

Reversal of the Halo Effect: Prolonged Participation in Comprehensive Care for Joint Replacement Negatively Impacts Revision Metrics.

Background: The downstream regional effect of the Comprehensive Care for Joint Replacement (CJR) program on care pathway-adjacent patients, including revision arthroplasty patients, is poorly understood. Prior studies have demonstrated that care pathways targeting primary total joint arthroplasty may produce a halo effect, impacting more complex patients with parallel care pathways. However, neither the effect of regional referral changes from CJR nor the durability of these positive changes with prolonged bundle participation has been assessed. Methods: Blinded data were pulled from electronic medical records. Primary analyses focused on the effect of CJR participation from 2015 (baseline) to 2020 (final participation year) at a tertiary care safety-net hospital. Patient demographics were evaluated using multivariate analysis of variance and chi-square calculations between procedure types over time. Results: Patients who underwent revision total knee arthroplasty (N = 376) and revision total hip arthroplasty (N = 482) were included. More patients moved through the revision-care pathway over the participation period, with volume increasing by 42% over time. Patients became more medically complex: the Charlson comorbidity index increased from 3.91 to 4.65 (P = .01). The mean length of stay decreased from 5.14 days to 4.50 days (P = .03), but the all-cause complication (8.3%-15.2%; P = .02) and readmission rates (13.6%-16.6%; P = .19) increased over time. Conclusions: Despite care pathway improvements over 5 years of CJR participation, revision patients did not display clear benefits in quality metrics but demonstrated a considerable increase in volume and medical complexity over time. The care of these patients may supersede even thoughtfully implemented care pathways, especially when referral burden increases, as may be prone to happen in regional, financial risk-conferring value-based programs. Understanding the impact of mandatory bundled payment programs like CJR on the care of arthroplasty patients regionally will be essential as value-based programs evolve.

Outpatient total hip and knee arthroplasty - Patient expectations versus experience.

Aims & objectives: With modern advancements in surgical techniques and rapid recovery protocols, incidence of outpatient total joint arthroplasty (TJA) is increasing. Previous literature has historically focused on cost, safety, and clinical outcomes, with few studies investigating patient expectations and experiences. The aim of this study was to survey preoperative patient expectations related to outpatient TJA surgery compared with perioperative perceptions and experience. Materials & methods: Prospective study of patients undergoing outpatient total hip or knee arthroplasty at a single Tertiary Academic center. Preoperative and postoperative surveys were administered during routine clinic visits. Results: One hundred and six patients completed preoperative surveys; 79 completed postoperative surveys and were included in the final data analysis. Fifty (63.3 %) patients reported being aware of outpatient TJA prior to undergoing the procedure. There was no difference between preoperative anticipated pain control and postoperative perceived pain control (6.64 vs. 6.88, p = 0.77). Most postoperative patients (N = 56, 70.9 %) rated outpatient surgery as "much better" or "better" than expected. Most postoperative patients (N = 68, 86 %) would opt to have outpatient surgery again. Fifty-two (65.8 %) of postoperative patients believed outpatient surgery sped up their postoperative rehabilitation. Conclusion: For most patients, the outpatient surgical experience met or exceeded expectations. Nearly 90 % of patients would prefer to have outpatient surgery in the future, further supporting the continued migration of elective arthroplasty away from inpatient sites of care.

Opioid Utilization After Primary Total Hip and Knee Arthroplasty Following Sequential Implementation of Statewide Legislation.

Background: Following total hip arthroplasty (THA) and total knee arthroplasty (TKA), increased opioid use is associated with poor clinical outcomes. This study investigates implications of Florida legislative mandates on prescribing practices and opioid utilization following primary THA and TKA. Methods: We retrospectively reviewed patients undergoing primary TKA or THA between January 1, 2018, to December 31, 2020 at our academic medical center. Three groups were identified: procedures performed prior to mandates, after seven-day prescription limit, and after mandated electronic prescribing. A multivariate analyses of variance evaluated length of stay, morphine milligram equivalents (MMEs), age, body mass index and number of prescription refills. Chi-square tests compared preoperative opioid use, readmissions, and discharge disposition. Results: There were 198 patients in group one, 238 patients in group two, and 215 patients in group three (N = 651). Prior to any mandates, patients were prescribed 822.3 + 626.7 MMEs. Following a seven-day prescription limit this decreased to 465.0 + 296.0 MMEs (P < .001), which further decreased after mandated electronic prescribing (228.0 + 284.4 MMEs [P < 0.001]). Patients undergoing THA were prescribed less MME than those undergoing TKA. There was a 2.6% 90-day readmission rate, with no pain-related readmissions. Conclusions: Florida legislative mandates for opioid prescription quantities and electronic prescribing have effectively reduced average MMEs prescribed following primary arthroplasty. Despite a shift towards ambulatory surgery, opioid utilization decreased without compromising patient outcomes. These findings underscore the significance of both legislative and surgical practices influencing opioid prescribing habits among orthopaedic surgeons.

Machine Learning-Based Predictive Models for 90-Day Readmission of Total Joint Arthroplasty Using Comprehensive Electronic Health Records and Patient-Reported Outcome Measures.

Background: The Centers for Medicare & Medicaid Services currently incentivizes hospitals to reduce postdischarge adverse events such as unplanned hospital readmissions for patients who underwent total joint arthroplasty (TJA). This study aimed to predict 90-day TJA readmissions from our comprehensive electronic health record data and routinely collected patient-reported outcome measures. Methods: We retrospectively queried all TJA-related readmissions in our tertiary care center between 2016 and 2019. A total of 104-episode care characteristics and preoperative patient-reported outcome measures were used to develop several machine learning models for prediction performance evaluation and comparison. For interpretability, a logistic regression model was built to investigate the statistical significance, magnitudes, and directions of associations between risk factors and readmission. Results: Given the significant imbalanced outcome (5.8% of patients were readmitted), our models robustly predicted the outcome, yielding areas under the receiver operating characteristic curves over 0.8, recalls over 0.5, and precisions over 0.5. In addition, the logistic regression model identified risk factors predicting readmission: diabetes, preadmission medication prescriptions (ie, nonsteroidal anti-inflammatory drug, corticosteroid, and narcotic), discharge to a skilled nursing facility, and postdischarge care behaviors within 90 days. Notably, low self-reported confidence to carry out social activities accurately predicted readmission. Conclusions: A machine learning model can help identify patients who are at substantially increased risk of a readmission after TJA. This finding may allow for health-care providers to increase resources targeting these patients. In addition, a poor response to the "social activities" question may be a useful indicator that predicts a significant increased risk of readmission after TJA.