Faculty Bibliography

BACKGROUND:Despite theoretical risks of fatigue wear, there is little empirical evidence correlating postoperative impact level from physical activity with failure rates following total hip and knee arthroplasty (THA and TKA). This study aimed to assess the relationship between the impact level from self-reported sports and physical activity participation and revision rates following primary arthroplasty. METHODS:A survey was conducted on recreational sports participation among primary elective THA and TKA patients from an urban, academic health system between June 1, 2011, and January 31, 2022. A total of 1,622 THA and 1,388 TKA respondents were included in the study. The survey was administered cross-sectionally at various time points, with a minimum follow-up of at least one year required for inclusion (THA, 5.3 years; TKA, 4.8 years postoperation on average). Patients were divided into four cohorts based on participation and intensity of the sport: no sports, low-impact sports, intermediate-impact sports, and high-impact sports. Descriptive comparisons were made to evaluate revision rates and mean time to follow-up among these groups in THA and TKA patients. The Kaplan-Meier method was utilized to assess 10-year implant survivability. RESULTS:Healthier and younger patients who underwent THA or TKA were significantly more likely to participate in intermediate- to high-impact sports and were found to have noninferior revision rates than those who engaged in no sports or low-impact sports: THA (2.9 [no sports] versus 1.9 [low impact] versus 1.6% [intermediate/high impact]), TKA (3.0 versus 1.6 versus 0.0%). When analyzing aseptic versus septic revisions separately, no notable patterns or differences were observed. CONCLUSIONS:At a mean 5-year follow-up, healthier and younger patients who participated in intermediate- and high-impact physical activities had noninferior revision rates as than patients who were less active. These findings offer guidance for clinicians when advising patients on the safe resumption of sports activities following total joint arthroplasty.

The rise in solid organ transplantations (SOTs) has led to increased long-term survival and also a higher incidence of joint degenerative diseases, necessitating more total joint arthroplasties (TJAs). SOT recipients face unique challenges, including immunosuppression, infection risks, and altered bone metabolism, requiring meticulous perioperative management. Despite higher complication rates, TJAs in SOT patients provide significant pain relief and functional improvement. Preoperative evaluation, tailored antibiotic prophylaxis, and careful implant selection are crucial. Multidisciplinary collaboration is essential to optimize outcomes, reduce complications, and improve quality of life for this high-risk population.

BACKGROUND:There is a growing number of patients who undergo multiple primary hip and knee joint arthroplasties during their lifetime. Whether patients who have multiple replaced joints are at an increased long-term risk of periprosthetic joint infection (PJI) is not known. The purpose of this study was to compare rates of PJI in patients who have more than one primary arthroplasty. METHODS:We reviewed 36,129 patients who underwent primary total joint arthroplasty at a single institution from 2011 to 2024. Patients were categorized as having one to four primary hip or knee arthroplasties. The PJI incidence was compared using Chi-square testing and binary logistic regressions, and multivariate models adjusted for sex, body mass index, diabetes, renal disease, smoking status, and Charlson Comorbidity Index (CCI). Sub-analyses compared patients who had one versus two, three, and four arthroplasties. RESULTS:When comparing patients who had one, two, three, or four primary joint arthroplasties, there was no significant difference in the rates of PJI between groups (P = 0.112). Multivariate analyses showed no statistically significant association between the number of arthroplasties and PJI (adjusted odds ratio (OR) for two, three, and four arthroplasties versus one: 1.34, 95% confidence interval (CI) 1.02 to 1.74, P = 0.083; 1.98, 95% CI 0.77 to 4.12, P = 0.105; 1.57, 95% CI 0.09 to 7.24, P = 0.657, respectively). Sub-analyses comparing one versus three and one versus four arthroplasties showed no significant differences. CONCLUSION/CONCLUSIONS:In this single-institution cohort, additional primary hip or knee arthroplasties did not appear to substantially increase PJI risk. These findings suggest a potential trend that requires confirmation with larger, prospective, multicenter, or registry-based studies. Nevertheless, these results provide preliminary evidence to inform patient counseling and guide future research on the risks of multiple arthroplasties.

PURPOSE/OBJECTIVE:To investigate the incidence and risk factors for dressing-induced allergic contact dermatitis (DIACD) following total hip and knee arthroplasty (THA and TKA, respectively) across different dressings and sealants. METHODS:A retrospective review was conducted of patients who underwent primary, elective THA or TKA between 2019 and 2024 with ≥ 90 days of follow-up. Incidences of DIACD were identified by reviewing medical records for "allergy" diagnoses and use of antihistamines or corticosteroids within 30 days postoperatively. Patient characteristics, prior exposure, treatment, dressing type, and allergy history were analyzed. RESULTS:A total of 61 (0.3%) of the 23,396 investigated patients developed a DIACD on average 12.2 ± 7.3 days postoperatively. Overall, 41% had a preoperative allergy (excluding seasonal), and 55.7% were treated with topical or low-dose oral antihistamines and corticosteroids. The majority (41%) of the DIACD involved mesh-adhesive dressings, and a liquid skin adhesive (2-octyl cyanoacrylate) was also used in 41% of cases, often in combination with the primary dressing. Of the 61 DIACD patients, 24 (39.3%) had previously undergone THA or TKA, and nearly half of these (n = 11, 45.8%) had been exposed to the same dressing without prior occurrence of DIACD. DIACD patients were significantly more likely to have undergone TKA (73.8 vs. 58.3%, p = 0.015) and to have never smoked (75.4 vs. 58.4%, p = 0.014). The effect sizes of these findings were negligible (Cramer's V = 0.016 and 0.019, respectively). CONCLUSIONS:The incidence of DIACD following joint arthroplasty is low (0.3%) but remains a frustrating complication, primarily occurring two weeks postoperatively, with mesh-adhesive dressings most frequently implicated. Patients with prior exposure to dressings, those undergoing TKA, and non-smokers are at higher risk. Identifying at-risk patients can guide dressing selection and application.

BACKGROUND/UNASSIGNED:Technological advancements in total hip arthroplasty (THA), including robotic-assisted (RA-THA) and navigation-assisted (NA-THA) techniques, aim to improve outcomes. However, impact on recovery timing remains unclear. This study examined whether these technologies reduce the time to reach the minimal clinically important difference (MCID) on the Hip Disability and Osteoarthritis Outcome Score for Joint Replacement compared with conventional THA. METHODS/UNASSIGNED:This retrospective study analyzed osteoarthritic THA patients (01/2020-04/2023) who completed preoperative and postoperative Hip Disability and Osteoarthritis Outcome Score for Joint Replacement questionnaires. The exclusion criteria included bilateral procedures or revision within 1 year. MCID was defined using anchor-based (23 points) and distribution-based thresholds (7.6 points). Multivariable interval-censored accelerated failure time models assessed time to MCID. RESULTS/UNASSIGNED:= .140). CONCLUSIONS/UNASSIGNED:Anchor-based MCID demonstrated comparable recovery times across RA, NA, and conventional THA, suggesting no patient-perceived advantage with technology. Distribution-based thresholds indicated RA-THA achieved faster statistically significant improvement, though the relevance remains uncertain.

INTRODUCTION/BACKGROUND:Obtaining an accurate preoperative diagnosis of periprosthetic joint infections (PJI) is challenging, making differentiating between septic and aseptic failures difficult. We sought to identify the value of common serum biomarkers and evaluate the accuracy of three ratios in the diagnosis of PJI after primary total knee arthroplasty (TKA): albumin-globulin ratio (AGR), C-reactive protein-albumin ratio (CAR), and C-reactive protein-AGR ratio (CAGR). METHODS:Patients undergoing PJI and aseptic revisions after TKA between 2011 and 2021 were retrospectively reviewed at a single institution. Only patients who had reported serum white blood cell (WBC), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), albumin (Alb), and total protein (TP) were included. Areas under the curve (AUCs), which optimize diagnostic performance by balancing sensitivity and specificity at a specific cutoff, were calculated for each individual biomarker and the three ratio groups: AGR = Alb / [TP - Alb], CAR = CRP / Alb, and CAGR = CRP / AGR). Higher AUCs indicate improved identification of PJI while reducing misclassification. RESULTS:Out of the 126 included cases, 89 were confirmed PJIs and 37 were aseptic revisions. Among the single and combination serum biomarkers, the AUCs were as follows: CRP (0.85), ESR (0.76), Alb (0.81), AGR (0.78), CAR (0.87), and CAGR (0.87). The CAR demonstrated excellent accuracy at a cutoff of 2.46, with a sensitivity of 0.74 and specificity of 0.84. CAGR also demonstrated excellent accuracy at a cutoff of 7.09, with a sensitivity of 0.80 and specificity of 0.78. CONCLUSION/CONCLUSIONS:The CRP, CAR, and CAGR showed an excellent diagnostic accuracy as markers for PJI. In patients undergoing revision TKA, common serum biomarkers such as Alb, TP, CRP, and ESR can be obtained, and CAR or CAGR ratios can be calculated to aid in the diagnosis of PJI, especially in cases where synovial analysis is inconclusive, allowing for better clinical decision-making.

BACKGROUND:Patients who undergo primary total knee arthroplasty (TKA) may return to work at variable times following surgery, the timeline for which is partly affected by the physical intensity of their occupation. The purpose of this study was to evaluate patient satisfaction and limitations when returning to work following TKA. METHODS:This retrospective review surveyed patients undergoing primary TKA between June 2011 and January 2022, with at least 1 year of follow up, regarding return to work. Of the 914 respondents, 507 (55.5 %) worked preoperatively and were stratified into high intensity (HI) (i.e., laborer, construction), standard intensity (SI) (i.e., walking, climbing stairs), or low intensity (LI) (i.e., sedentary desk jobs) groups. Baseline characteristics and survey responses were compared across groups. Among those who worked preoperatively, 35 (6.9 %), 213 (42 %), and 259 (51.1 %) were in the HI, SI, and LI groups, respectively. RESULTS:Of the 507 patients who worked prior to TKA, 447 (88.2 %) returned to work after surgery and 60 (11.8 %) did not. The HI group was comprised of more young males and more smokers than the SI and LI groups. In the LI group, 30 % returned within 1 month following surgery and an additional 44 % within 2 months. Similarly in the SI group, 11 % returned to work in less than 1 month with an additional 39 % returning within 2 months. In the HI group, 4 % returned within the first month and additional 42 % returned within 2 months. HI workers were more commonly hindered in their return (HI: 30.8 %, SI: 23.1 %, LI: 7.7 %), 'moderately declined' in their work ability (HI: 23.1 %, SI: 9.7 %, 3.0 %), and 'very unsatisfied' with their return (HI: 11.5 %, SI: 10.8 %, LI: 8.1 %). CONCLUSION/CONCLUSIONS:TKA leads to improvements in work function and satisfaction across all intensity levels, but HI work is associated with longer recovery times and comparatively lower return-to-work satisfaction compared to SI and LI groups.

INTRODUCTION/BACKGROUND:Social support improves outcomes after total hip and knee arthroplasty (THA/TKA), but the demands on informal caregivers, especially as surgeries transition to outpatient care, are understudied. This study strived to assess caregiver burden, predictors, and implications following joint arthroplasty. METHODS:This prospective cohort study enrolled 185 patient-caregiver dyads undergoing primary THA or TKA for osteoarthritis at a tertiary academic center. Caregivers completed assessments at four weeks postoperatively, including the Caregiver Strain Index (CSI) and Appraisal of Caregiving Scale (ACS), which measures perceived benefit, threat, and stress. Demographic, socioeconomic, and caregiving-related variables were collected. Multivariate linear regression identified factors associated with caregiver strain and experiences. Caregivers had a mean age of 64 years (range, 52.3 to 76.3), and 60% were women. Most (72.4%) were spouses, and 46.5% were retired. RESULTS:The CSI scores showed considerable strain, especially among women caregivers (β = 1.29, P = 0.001), those who had higher daily time commitment postoperatively, and those who had lower preoperative preparedness. Regarding employment status, 7% worked part-time, and 3.2% were homemakers. Among ACS subscales, non-White race (β = 0.31, P = 0.035) and homemaker status (β = 0.65, P = 0.049) were positively associated with perceived benefit, while lower preparedness predicted higher perceived threat. Caregiver age (β = 0.0217, P = 0.004), higher initial social support (β = 0.013, P = 0.001), and preparedness (β = 0.19, P = 0.016) predicted higher stress appraisals. Part-time employment was associated with lower stress (β = -0.47, P = 0.042). CONCLUSION/CONCLUSIONS:Caregiver burden after joint arthroplasty is substantial and influenced by sex, age, race, employment, social support, and preparedness. Targeted interventions addressing these factors are needed to mitigate strain in at-risk caregivers and improve surgical recovery for patients.