Faculty Bibliography

BACKGROUND:Though previous studies have demonstrated improved cost benefits associated with simultaneous versus staged bilateral total hip arthroplasty (simBTHA and staBTHA), further investigation is needed regarding the revenues and contribution margins (CMs) of these procedures. In this study, we compared revenue, CM, and surgical outcomes between simBTHA and staBTHA. METHODS:All patients who underwent simBTHA (both procedures completed the same day) and staBTHA (procedures completed on different days within one year) between 2011 and 2021 at a single high-volume orthopedic specialty hospital were identified. Of the 1,517 identified patients (n = 139 simBTHA, n = 1,378 staBTHA), 232 were included in a 1:1 propensity match based on baseline demographics (116 per cohort). Revenue, costs, CM, and surgical outcomes were compared between cohorts. RESULTS:Compared to staBTHA, simBTHA procedures had significantly lower total costs (P < .001), direct costs (P < .001), and patient revenue. There was no significant difference in CM between groups (P = .361). Additionally, there were no significant differences in length of stay (P = .173), operative time (P = .438), 90-day readmissions (P = .701), 90-day revisions (P = .313), or all-cause revisions (P = .701) between cohorts. CONCLUSIONS:Though simBTHA procedures have lower revenues than staBTHA, they also have lower costs, resulting in similar CM between procedures. As both procedures have similar postoperative complication rates, further research is required to evaluate specifically which patients may benefit from simBTHA versus staBTHA regarding clinical and patient-reported outcomes. LEVEL OF EVIDENCE/METHODS:III.

INTRODUCTION/BACKGROUND:Debridement, antibiotics, and implant retention (DAIR) are the mainstays surgical treatment for acute periprosthetic joint infection (PJI). However, re-operation following DAIR is common, and the risk factors for DAIR failure remain unclear. This study aimed to assess the perioperative characteristics of patients who failed initial DAIR treatment. METHODS:A retrospective review was conducted on 83 patients who underwent DAIR for acute PJI within three months following index surgery from 2011 to 2022, with a minimum one-year follow-up. Surgical outcomes were categorized using the Musculoskeletal Infection Society (MSIS) outcome reporting tool (Tiers 1 to 4). Patient demographics, laboratory data, and perioperative outcomes were compared between patients who had failed (Tiers 3 and 4) (n = 32) and successful (Tiers 1 and 2) (n = 51) DAIR treatment. Logistic regression was also performed. RESULTS:After logistic regression, Charlson Comorbidity Index (CCI) (odds ratio (OR): 1.57; P = 0.003), preoperative C-reactive protein (CRP) (OR: 1.06; P = 0.014), synovial white blood cell (WBC) (OR: 1.14; P = 0.008), and polymorphonuclear cell (PMN%) counts (OR: 1.05; P = 0.015) were independently associated with failed DAIR. Compared with total hip arthroplasty (THA), total knee arthroplasty (TKA) patients (OR: 6.08; P = 0.001) were at increased risk of DAIR failure. The type of organism and time from primary surgery were not correlated with DAIR failure. CONCLUSION/CONCLUSIONS:Patients who had failed initial DAIR tended to have significantly higher CCI, CRP, synovial WBC, and PMN%. The TKA DAIRs were more likely to fail than the THA DAIRs. These characteristics should be considered when planning acute PJI management, as certain patients may be at higher risk for DAIR failure and may benefit from other surgical treatments.

The number of revision total knee arthroplasties (TKAs) performed annually continues to rise. This article is a summary of a symposium on revision TKAs presented at the 2023 American Association of Hip and Knee Surgeons (AAHKS) annual meeting. It will provide an overview of the surgical tips and tricks for exposure and component removal, use of metaphyseal fixation and stems to manage bone loss and optimize fixation, constraint in TKA, as well as how to manage extensor mechanism disruptions with a synthetic mesh reconstruction.

BACKGROUND:Current data evaluating the clinical value and cost-effectiveness of advanced diagnostic tests for periprosthetic joint infection (PJI) diagnosis, including alpha-defensin and synovial C-reactive protein (CRP), is conflicting. This study aimed to evaluate the adequacy of preoperative and intraoperative PJI workups without utilizing these tests. METHODS:This retrospective analysis identified all patients who underwent revision total knee or hip arthroplasty (rTKA and rTHA, respectively) for suspected PJI between 2018 and 2020 and had a minimum follow-up of two years. Perioperative data and lab results were collected, and cases were dichotomized based on whether they met the 2018 Musculoskeletal Infection Society (MSIS) criteria for PJI. In total, 204 rTKA and 158 rTHA cases suspected of PJI were reviewed. RESULTS:Nearly 100% of the cases were categorized as "infected" for meeting the 2018 MSIS criteria without utilization of alpha-defensin or synovial CRP (rTKA: n = 193, 94.6%; rTHA: n = 156, 98.7%). Most cases were classified as PJI preoperatively by meeting either the major MSIS or the combinational minor MSIS criteria of traditional lab tests (rTKA: n = 177, 86.8%; rTHA: n = 143, 90.5%). A subset of cases was classified as PJI by meeting combinational preoperative and intraoperative MSIS criteria (rTKA: 16, 7.8%; rTHA: 13, 8.2%). Only 3.6% of all cases were considered "inconclusive" using preoperative and intraoperative data. CONCLUSION/CONCLUSIONS:Given the high rate of cases satisfying PJI criteria during preoperative workup using our available tests, the synovial alpha-defensin and synovial CRP tests may not be necessary in the routine diagnostic workup of PJI. We suggest that the primary PJI workup process should be based on a stepwise algorithmic approach with the most economical testing necessary to determine a diagnosis first. The use of advanced, commercialized, and costly biomarkers should be utilized only when traditional testing is indeterminate.

BACKGROUND:As worldwide utilization of total knee arthroplasty (TKA) broadens, demographic trends can help make projections to inform access to care. This study aimed to assess the temporal trends in the socioeconomic and medical demographics of patients undergoing TKA. METHODS:A retrospective review of 15,848 patients who underwent primary, elective TKA at an urban, New York City-based academic medical center between January 2013 and September 2022 was performed. Trends in patients' age, body mass index (BMI), socioeconomic status (SES) (based on median income by patients' ZIP code), race, and Charlson comorbidity index were evaluated using the Mann-Kendall test. RESULTS:In the last decade, mean patient age (65 to 68 years, P < .001) and Charlson comorbidity index (1.4 to 2.3, P < .001) increased significantly. The proportion of patients who had a BMI ≥ 30 and < 40 increased (43.8 to 51.2%, P = .002), while the proportion of patients who had a BMI ≥ 40 (13.7 to 12.1%, P = .015) and BMI < 30 (42.5 to 36.8%, P = .020) decreased. The distribution of patients' race and SES did not change from 2013 to 2022; Black (18.1 to 16.8%, P = .211) and low SES (12.9 to 11.3%, P = .283) patients consistently represented a minority of TKA patients. CONCLUSIONS:Over the last decade, the average age and comorbidity burden of TKA patients at our institution have increased. This portends the need for higher levels of preoperative optimization and postoperative management for TKA patients. A decreased prevalence of BMI ≥40 could reflect optimization efforts. However, the consistently low prevalence of Black and low-SES patients suggests that recent payment models did not improve access to care for these populations. LEVEL OF EVIDENCE/METHODS:IV.

The Knee injury and Osteoarthritis Outcome Score for Joint Replacement (KOOS JR) is a validated patient-reported measure for assessing pain and function following total knee arthroplasty (TKA). This study investigates how patient demographic factors (i.e., age, sex, and race) correlate with KOOS JR response rates. This was a retrospective cohort study of adult, English-speaking patients who underwent primary TKA between 2017 and 2023 at an academic institution. KOOS JR completion status-complete or incomplete-was recorded within 90 days postoperatively. Standard statistical analyses were performed to assess KOOS JR completion against demographic factors. Among 2,883 total patients, 70.2% had complete and 29.8% had incomplete KOOS JR questionnaires. Complete status (all p < 0.01) was associated with patients aged 60 to 79 (71.8%), white race (77.6%), Medicare (81.7%), marriage (76.8%), and the highest income quartile (75.7%). Incomplete status (all p < 0.001) was associated with patients aged 18 to 59 (64.4%), Medicaid (82.4%), and lower income quartiles (41.6% first quartile, 36.8% third quartile). Multiple patient demographic factors may affect KOOS JR completion rates; patients who are older, white, and of higher socioeconomic status are more likely to participate. Addressing underrepresented groups is important to improve the utility and generalizability of the KOOS JR.

BACKGROUND:Postoperative return to recreational activity is a common concern among the increasingly active total knee arthroplasty (TKA) patient population, though there is a paucity of research characterizing sport-specific return and function. This study aimed to assess participation level, postoperative return to activity, sport function, and limitations for recreational athletes undergoing TKA. METHODS:A survey of recreational sports participation among primary, elective TKA patients from a single academic center between June 2011 and January 2022 was conducted. Of the 10,777 surveys administered, responses were received from 1,063 (9.9%) patients, among whom 784 indicated being active in cycling (273 [34.8%]), running (33 [4.2%]), jogging (68 [8.7%]), swimming (228 [29.1%]), tennis (63 [8.0%]), skiing (55 [7.0%]), or high-impact team sports (64 [8.2%]) between two years preoperatively and time of survey administration, and were included for analyses. RESULTS:Cycling (62.3% at two years preoperatively vs. 59.0% at latest follow-up) and swimming (62.7% at two years preoperatively vs. 63.6% at latest follow-up) demonstrated the most favorable participation rate changes, while running (84.0% at two years preoperatively vs. 48.5% at latest follow-up) and skiing (72.7% at two years preoperatively vs. 45.5% at latest follow-up) demonstrated the least favorable participation rate changes. The majority of respondents were "satisfied" or "very satisfied" with their return across all sports, though dissatisfaction was highest among runners and joggers. For cycling, running, jogging, and swimming, respondents most commonly reported no change in speed or distance capacity, though among these cyclists reported the highest rates of improved speed and distance. The majority of returning skiers reported improved balance, form, and ability to put on skis. CONCLUSION/CONCLUSIONS:Return to sport is feasible following TKA with high satisfaction. Swimming and cycling represent manageable postoperative activities with high return-rates, while runners and joggers face increased difficulty returning to equal or better activity levels. Patients should receive individualized, sports-specific counseling regarding their expected postoperative course based on their goals of treatment.

INTRODUCTION/BACKGROUND:The importance of identifying how patients choose their healthcare providers has grown with the prevalence of consumer-centric health insurance plans. There is currently a lack of studies exploring the factors associated with how patients select their hip and knee joint arthroplasty surgeons. The purpose of this study was to determine how patients find their arthroplasty providers and the relative importance of various arthroplasty surgeon characteristics. METHODS:An electronic mail survey was sent to 3522 patients who had visited our institution for an arthroplasty surgeon office visit between August 2022 and January 2023. The survey consisted of multiple-choice questions, which aimed to inquire about the patients' referral sources for their current arthroplasty surgeon. In addition, patients were requested to rate the significance of 22 surgeon-related factors, on a scale of 1 (Not Important At All) to 5 (Very Important), in choosing their arthroplasty surgeon. RESULTS:Of the 3522 patients that received the survey, 538 patients responded (15.3%). The most common referral sources were physician referral (50.2%), family/friend referral (27.7%), and self-guided research (24.5%). Of those that were referred by a physician, 54.4% of respondents were referred by another orthopaedic provider. Patients rated board certification (4.72 ± 0.65), in-network insurance status (4.66 ± 0.71), fellowship training (4.50 ± 0.81), bedside manner/personality (4.32 ± 0.86), and facility appearance (4.26 ± 0.81) as the five most important factors in picking an arthroplasty surgeon. Television (1.42 ± 0.83), print (1.50 ± 0.88), and online (1.58 ± 0.93) advertisements, along with social media presence (1.83 ± 1.08), and practice group size (2.97 ± 1.13) were rated as the five least important factors. CONCLUSION/CONCLUSIONS:Patients are most likely to select an arthroplasty surgeon based on referral from other physicians, namely orthopedic surgeons, in addition to board certification status, in-network insurance, and fellowship training. Overall, these findings highlight the importance of physician credentials and reputation within the orthopaedic community in order to attract and retain patients.

BACKGROUND:Previous data suggest that obesity does not impact surgical outcomes following total knee arthroplasty performed by high-volume (HV) surgeons. However, this effect has yet to be studied in total hip arthroplasty (THA) patients. This study aimed to evaluate the impact of patient obesity on THA outcomes when surgery is performed by HV surgeons. METHODS:A retrospective analysis of patients who underwent primary, elective THA between January 2012 and December 2022 with a HV surgeon (top 25% of surgeons by number of annual primary THA) was performed. Patients were stratified by their body mass index (BMI) into 3 cohorts: BMI ≥ 40 (morbidly obese [MO]), 30 ≤ BMI < 40 (obese), and BMI < 30 (nonobese); and 1:1:1 propensity matched based on baseline characteristics. A total of 13,223 patients were evaluated, of which 669 patients were included in the final matched analysis (223 patients per group). The average number of annual THAs performed for HV surgeons was 171 cases. RESULTS:The MO patients had significantly longer surgical times (P < .001) and hospital lengths of stay (P < .001). Rates of 90-day readmissions (P = .211) and all-cause, septic, and aseptic revisions at the latest follow-up (P = .268, P = .903, and P = .168, respectively) were comparable between groups. In a subanalysis for non-HV surgeons, MO patients had a significantly greater risk of revision (P = .021) and trended toward significantly greater readmissions (P = .056). CONCLUSIONS:Clinical outcomes and complication rates after THA performed by a HV surgeon are similar regardless of patient obesity status. Patients who have MO may experience improved outcomes and reduced procedural risks if they are referred to HV surgeons. LEVEL OF EVIDENCE/METHODS:III.

INTRODUCTION/BACKGROUND:Optimizing operating room (OR) scheduling accuracy is important for OR efficiency, meeting patient expectations, and maximizing value for health systems. However, limited data exist on factors influencing the precision of Total Hip Arthroplasty (THA) OR scheduling. This study aims to identify the factors influencing the accuracy of OR scheduling for THA. METHODS:A retrospective review of 6,072 THA (5,579 primary THA and 493 revision THA) performed between January 2020 and May 2023 at an urban, academic institution was conducted. We collected baseline patient characteristics, surgeon years of experience, and compared actual wheels in to wheels out (WIWO) OR time against scheduled OR time. Significant scheduling inaccuracies were defined as actual OR times deviating by at least 15% from scheduled OR times. Logistic regression analyses were employed to assess the impact of patient, surgeon, and intraoperative factors on OR scheduling accuracy. RESULTS:Using adjusted odds ratios, primary THA patients who had a lower BMI and surgeons who had less than 10 years of experience were associated with overestimation of OR time. Whereas, higher BMI, younger age, general anesthesia, non-primary osteoarthritis indications, and afternoon procedure start times were linked to underestimation of OR time. For revision THA, lower BMI and fewer components revised correlated with overestimated OR time. Men, higher BMI, more components revised, septic indication for surgery, and morning procedure start times were associated with underestimation of OR time. CONCLUSION/CONCLUSIONS:This study highlights several critical patient, surgeon, and intraoperative factors influencing OR scheduling accuracy for THA. OR scheduling models should consider these factors to enhance OR efficiency.