The Effect of the COVID Pandemic on the Rate of Same-Day Discharge in Primary Hip and Knee Arthroplasty.

BACKGROUND: Same-day discharge (SDD) following primary total hip arthroplasty (THA) and total knee arthroplasty (TKA) started increasing prior to 2020. The purpose of this study was to evaluate the change in the rate of SDD after the pandemic and determine whether those changes became permanent. METHODS: The annual rate of SDD for 15,208 primary THA and TKA cases performed between January 1, 2015, and September 9, 2022, at a single institution was determined. We also examined changes in SDD patient demographics as well as differences in the 90-day complication rates of SDD and overnight patients. RESULTS: In 2015, the rate of SDD for primary arthroplasty was 24%, which grew annually to 29% in 2019. Postpandemic, the rate of SDD jumped above 50% and continued up to 64% by 2022. The biggest increase was in TKA, which went from under 10% SDD prepandemic to 50% by 2022. The average age and body mass index of SDD cases prepandemic increased significantly to 62 ± 9 years and 29.4 ± 5.3 (P < .01). Overnight patients had higher rates of 90-day postoperative complications (8.4 versus 4.2%, P < .00001). CONCLUSIONS: The pandemic caused major changes in the rate of SDD for primary THA and TKA, increasing in subsequent years. The SDD patients became older and heavier due to the expanded criteria for SDD cases. The 90-day postoperative complication rate was lower for SDD patients since higher risk patients were kept overnight. At the prepandemic rate, 29% of patients currently being sent home would have stayed overnight.

Racial Differences in Manipulation Under Anesthesia Rates Following Total Knee Arthroplasty.

BACKGROUND: Despite the extensive literature on racial disparities in care and outcomes after total knee arthroplasty (TKA), data on manipulation under anesthesia (MUA) is lacking. We aimed to determine (1) the relationship between race and rate of (and time to) MUA after TKA, and (2) annual trends in racial differences in MUA from 2013 to 2018. METHODS: This retrospective cohort study (using 2013-2018 Medicare Limited Data Set claims data) included 836,054 primary TKA patients. The primary outcome was MUA <1 year after TKA; time from TKA to MUA in days was also recorded. A mixed-effects multivariable model measured the association between race (White, Black, Other) and odds of MUA. Odds ratios (OR) and 95% confidence intervals (CI) were reported. A Cochran Armitage Trend test was conducted to assess MUA trends over time, stratified by race. RESULTS: MUA after TKA occurred in 1.7%, 3.2% and 2.1% of White, Black, and Other race categories, respectively (SMD = 0.07). After adjustment for covariates, (Black vs White) patients had increased odds of requiring an MUA after TKA: odds ratio (OR) 1.97, 95% confidence intervals (CI) 1.86-2.10, P < .0001. Moreover, White (compared to Black) patients had significantly shorter time to MUA after TKA: 60 days (interquartile range [IQR] 46-88) versus 64 days (interquartile range [IQR] 47-96); P < .0001. These disparities persisted from 2013 through 2018. CONCLUSION: Continued racial differences exist for rates and timing of MUA following TKA signifying the continued need for efforts aimed toward understanding and eliminating inequalities that exist in total joint arthroplasty (TJA) care.

Evaluating Resource Utilization for In-Person and Virtual Joint Classes in Total Joint Arthroplasty: An Analysis of Attendance Patterns at a Large Metropolitan Health System.

BACKGROUND: Provider-run "joint classes" educate total joint arthroplasty (TJA) patients on how to best prepare for surgery and maximize recovery. There is no research on potential healthcare inequities in the context of joint classes or on the impact of the recent shift toward telehealth due to coronavirus disease 2019 (COVID-19). Using data from a large metropolitan health system, we aimed to (1) identify demographic patterns in prepandemic joint class attendance and (2) understand the impact of telehealth on attendance. METHODS: We included data on 3,090 TJA patients from three centers, each with a separately operated joint class. Attendance patterns were assessed prepandemic and after the resumption of elective surgeries when classes transitioned to telehealth. Statistical testing included standardized differences (SD > 0.1 indicates significance) and a multivariate linear regression. RESULTS: The in-person and telehealth attendance rates were 69.9% and 69.2%, respectively. Joint class attendance was significantly higher for non-White, Hispanic, non-English primary language, Medicaid, and Medicare patients (all SD > 0.1). Age was a determinant of attendance for telehealth (SD > 0.1) but not for in-person (SD = 0.04). Contrastingly, physical distance from hospital was significant for in-person (SD > 0.1) but not for telehealth (SD = 0.06). On a multivariate analysis, distance from hospital (P < .05) and telehealth (P < .0001) were predictors of failed class attendance. CONCLUSION: This work highlights the relative importance of joint classes in specific subgroups of patients. Although telehealth attendance was lower, telehealth alleviated barriers to access related to physical distance but increased barriers for older patients. These results can guide providers on preoperative education and the implementation of telehealth.

Adverse Local Tissue Reaction Secondary to Corrosion at Multiple Junctions in a Modular, Segmental, Distal Femoral Replacement.

While adverse local tissue reactions are well described in the total hip arthroplasty literature, there have only been case reports and case series in the total knee arthroplasty literature. There have been no cases described in the setting of a distal femoral replacement. In this case, we describe a 69-year-old female with a complex history of left knee revision arthroplasty with a distal femoral and proximal tibial replacement who presented with left knee pain and was found to have extensive adverse local tissue reaction with corrosion at the femoral stem-extension piece junction and the extension piece-distal femoral component junction. The femoral taper was then manually cleaned and modular components replaced. Corrosion at the stem-distal femoral component junction can result in adverse local tissue reaction in patients with distal femoral replacements. It is important to consider this diagnosis when evaluating patients with knee pain following distal femoral replacement.

Risk of Infection After Total Knee or Hip Arthroplasty After Receipt of Multiple Corticosteroid or Hyaluronic Acid Injections.

BACKGROUND: Few studies have assessed the relationship between the quantity of preoperative corticosteroid injections (CSIs) or hyaluronic acid injections (HAIs) and postoperative infection risk after total knee or hip arthroplasty (TKA, THA). We aimed to (1) determine whether the number of injections administered before TKA/THA procedures is associated with postoperative infections and (2) establish whether infection risk varies by injection type. METHODS: This retrospective cohort study included 230,487 THAs and 371,511 TKAs from the 2017 to 2018 Medicare Limited Data Set. The quantity of CSI or HAI, defined as receiving either CSI or HAI ≤2 years before TKA/THA, was identified and categorized as 0, 1, 2, or >2. The primary outcome was 90-day postoperative infection. Multivariable regression models measured the association between the number of injections and 90-day postoperative infection. Odds ratios and 95% confidence intervals were reported. RESULTS: The percentage of THA patients receiving 1, 2, and >2 preoperative CSIs was 6.1%, 1.6%, and 0.8%, respectively. Receiving >2 CSIs within 2 years before THA was associated with higher odds of 90-day postoperative infection (odds ratios = 1.74, 95% CI = 1.11 to 2.74, P = 0.02). The percentage of TKA patients receiving 1, 2, and >2 CSIs was 3.0%, 1.2%, and 1.1%, respectively. For HAIs in TKA patients, percentage receiving injections was 98.3%, 0.6%, 0.2%, and 0.9%, respectively. Quantity of CSIs or HAIs administered was not associated with postoperative infection among TKA patients. CONCLUSION: Patients receiving >2 injections before THA had higher odds of 90-day postoperative infection. This finding was not observed in TKA patients. These results suggest that the use of >2 injections within 2 years of THA should be avoided.

Treatment patterns and failure rates associated with prosthetic joint infection in unicompartmental knee arthroplasty: A systematic review.

Background: Prosthetic joint infection (PJI) following unicompartmental knee arthroplasty (UKA) is a rare but challenging complication. A paucity of literature exists regarding the management of PJI in UKA. This systematic review aims to assess current treatment patterns in UKA PJI and analyze the failure rates associated with treatment. Methods: PubMed, Scopus, and EMBASE were systematically searched for studies that presented cases of PJI following UKA. Data regarding study design, country of publication, index procedure type, diagnosis of PJI, number and incidence of PJI, timing of PJI (acute versus chronic), treatment, and outcomes were recorded. Failure rates in acute and chronic PJI as well as total failure rates were analyzed. Results: Sixteen articles were identified that met inclusion criteria. These included 97 PJI cases (37 acute, 58 chronic, 2 unknown timing); incidence across all studies of 0.80%. The most common treatment for all PJI cases was debridement, antibiotics, and implant retention (DAIR) (40.2%), followed by two-stage conversion to total knee arthroplasty (TKA) (33.0%), one-stage conversion to TKA (23.7%), and one-stage exchange UKA (3.1%). There were no significant differences in failure rates across procedures for acute, chronic or overall PJI management (p > 0.05 for all). Conclusion: This systematic review found relatively few studies reporting on PJI after UKA compared to the available TKA evidence. Further research is warranted to better elucidate the most appropriate treatment of PJI after UKA in both the acute and chronic setting along with risk factors for failure.

Statistical Assumptions in Orthopaedic Literature: Are Study Findings at Risk?

Background As orthopaedic surgery becomes more evidence-based, the need for rigorous research has increased. This results in more complex studies that employ more sophisticated statistical analysis, often some form of regression. These statistical techniques require the data to meet certain assumptions for the findings to be considered valid. The purpose of this study is to determine the common regression techniques employed in the orthopaedic surgery literature, and demonstrate how often the assumptions of regression analyses are met and reported. Methods Studies published in the Journal of Bone & Joint Surgery (JBJS) in 2017 and 2018 were reviewed. Commentaries, editorials, and systematic reviews were excluded. The statistical analyses performed in each study were documented. When regression analyses were utilized, the article was reviewed for evidence that the necessary assumptions underlying the statistical methodology were assessed and met. Results From the 470 studies that were reviewed, the most common statistical test reported was the independent-samples t-test (n=215, 45.7%). Also, 201 studies (42.8%) implemented some form of regression analysis. The most common regression was a logistic regression (n= 106). None of the 201 studies using regression analysis reported meeting all of the necessary assumptions to appropriately use a regression test. Conclusion Many recent studies published in JBJS depended on regression analyses to reach their conclusions, but none fully reported the necessary assumptions of these tests. Orthopaedic surgery journals should be more transparent in reporting the methodology of statistical tests, and readers must beware of possible gaps in statistical methodology and critically evaluate the studies' findings.

Early mortality after hip fracture surgery in COVID-19 patients: A systematic review and meta-analysis.

OBJECTIVE: The aim of this systematic review and meta-analysis was to assess the risk of early mortality in hip fracture patients with COVID-19 infection who undergo surgical intervention. DATA SOURCES: MEDLINE (PubMed) and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases. STUDY SELECTION: Studies were included in the systematic review if they reported postoperative mortality in patients with COVID-19 infection who underwent operative intervention for hip fracture. From this selection of studies, only investigations that reported postoperative mortality in a COVID-positive and a non-COVID group were included in the meta-analysis. DATA EXTRACTION: Data regarding patient demographics, age, and sex were recorded. Additional data that was extracted included study location, data collection period, length of follow-up, COVID testing methodology, COVID testing results, and number of patients who underwent operative versus nonoperative management. The primary outcome of interest was postoperative mortality. DATA SYNTHESIS: Random effects meta-analyses were performed to assess the pooled relative risk of postoperative mortality according to COVID status. Odds ratios and 95% confidence intervals (CI) were calculated. CONCLUSIONS: The overall pooled mortality rate in the early postoperative period for hip fracture patients with concomitant COVID-19 infection was 32.6%. The relative risk for postoperative mortality in COVID-positive patients compared to non-COVID patients was 5.66 (95% CI 4.01-7.98; p < 0.001). The currently available literature demonstrates that COVID-19 infection represents a substantial risk factor for early postoperative mortality in the already susceptible hip fracture population. Further investigations will be needed to assess longer-term morbidity and mortality in this patient population. LEVEL OF EVIDENCE: Therapeutic Level IV.