The Impact of Surgeon Variability on Patient-Reported Outcomes in Total Hip Arthroplasty

Surgeon experience in multi-ligament knee injury reconstruction is associated with decreased complications and surgical time

INTRODUCTION

Operative management of multi-ligament knee injuries (MLKI) is technically challenging, with high complication rates. However, the impact of surgeon experience on surgical outcomes remains underreported. This purpose of this study was to examine how surgeon experience impacts operative time and complication rates. It was hypothesized that increased surgeon experience in MLKI correlates with reduced surgical duration and postoperative complications.

METHODS

A retrospective review of MLKI patients who underwent reconstruction from 2011 to 2024 by fellowship-trained sports medicine surgeons at two high-volume level 1 trauma centers was conducted. Patient demographics, surgical procedure characteristics, complications, and surgeon experience (defined by years in practice postfellowship) were analyzed. Correlations were examined using linear regression for continuous variables and binary logistic regression for binary variables.

RESULTS

There were 191 MLKI patients meeting inclusion criteria, with a 25.7% overall complication rate. Arthrofibrosis (16.2%) was most common, followed by recurrent instability (3.7%), infection (3.7%), revision surgery (2.7%), and hardware removal (1.0%). Controlling for age, sex, BMI, and number of ligaments reconstructed, we found a significant negative correlation between surgeon experience and both surgical duration (ß =  - 0.28, p < .001) and complication risk (OR 0.92, p = 0.024).

CONCLUSION

This study demonstrates that increased surgeon experience in operative management of MLKI is associated with decreased complication rates and shorter procedure duration. Additional risk factors for complications included the number of ligaments injured and concomitant knee dislocation.

Neighborhood Socioeconomic Disadvantage is Associated With Increased Health Care Utilization After Septic and Aseptic Revision Total Hip Arthroplasty

BACKGROUND

A greater area deprivation index (ADI), a tool that gauges socioeconomic disadvantage at the neighborhood level, is associated with worse health care outcomes following primary total hip arthroplasty. However, its association with revision total hip arthroplasty (rTHA) is unknown. This study aimed to determine the association between ADI and rates of postoperative health care resource utilization following rTHA.

METHODS

A total of 996 patients who underwent rTHA between 2016 and 2022 were enrolled in a prospective study. The primary outcomes assessed were nonhome discharge disposition (DD), length of stay (LOS) ≥ three days, 90-day emergency department (ED) visits, and 90-day hospital readmissions. The ADI was calculated using the patient's home address at the time of surgery, with greater ADI indicating greater socioeconomic disadvantage. We evaluated the mediation effect of patient race on ADI and postoperative health care utilization using a multivariable logistic regression model.

RESULTS

A higher median ADI was revealed for patients who experienced nonhome discharge (P = 0.001), extended LOS (P < 0.001), and ED readmission within 90 days of surgery (P = 0.045). When comparing septic versus aseptic rTHA patients, there were significant differences in health care resource utilization but no difference in ADI between the two groups. For aseptic rTHA, ADI significantly mediated the effect of race on both nonhome DD and LOS ≥ 3 (41 and 46% mediation, respectively). In septic rTHA, ADI mediated 31.1% of the effect of race on nonhome DD, but showed minimal mediation effect on LOS. The mediation effect of ADI on ED admission and hospital readmission was minimal for both groups.

CONCLUSIONS

Higher ADI scores are associated with increased health care utilization after rTHA, including longer hospital stays and more nonhome discharges. The ADI significantly mediates the effect of race on these outcomes, particularly in aseptic rTHA cases, suggesting that neighborhood socioeconomic factors play a crucial role in previously observed racial disparities.

Readmission Within 90 Days After Primary THA Is Associated With Decreased Improvement in 1-Year Patient-reported Outcome Measures and Increased Reoperation Rates

BACKGROUND

Readmissions after THA can negatively impact patients, increase healthcare utilization, and subsequently increase costs. However, there is little to demonstrate whether readmission after THA is associated with poorer results in outcomes that matter to patients, such as pain relief, restoration of function, or activities of daily living. Moreover, the impact of medical-related readmissions compared with orthopaedic-related readmissions on postoperative outcomes is currently unknown.

QUESTIONS/PURPOSE

Are patients readmitted within 90 days of an index THA less likely to achieve a minimum clinically important difference (MCID) or patient acceptable symptom state (PASS) threshold in postoperative patient-reported outcome measures (PROMs) compared with those who are not readmitted? (2) Is the cause of readmission within 90 days (medical or orthopaedic) associated with a lower likelihood of achieving either MCID or PASS thresholds 1 year after THA? (3) How does 90-day readmission compare with other patient-specific factors associated with a lower likelihood of attaining either MCID or PASS? (4) Are patients readmitted within 90 days more likely to undergo further surgery?

METHODS

Between January 2016 and December 2020, we treated 11,026 patients with primary THA at a large tertiary academic center. Patients undergoing nonelective (n = 551) and bilateral THAs (n = 1582) were excluded, leaving 8893 for final analysis here. Of these, 2476 patients were lost to follow-up and thus not included in the 1-year PROMs analysis, but they remained included in the study overall. Data for each patient were extracted from a validated longitudinally maintained institutional database. The mean ± SD age of patients was 65 ± 11.5 years, 57% were women, and 86% self-reported as White. Readmissions were individually reviewed and grouped into medical-related or orthopaedic-related causes based on the primary cause. Multivariable logistic regression models were used to investigate the association of 90-day readmission with 1-year PROMs. Overall, 6% (502 of 8893) were readmitted within 90 days, with 75% (377 of 502) being medically related and 25% (125 of 502) being orthopaedically related readmissions. PROM scores were obtained preoperatively and at 1 year after each of the THAs and included Hip Disability and Osteoarthritis Outcome Score (HOOS) pain, physical function, and joint replacement scores, as well as the Veterans Rand 12-Item Health Survey mental component summary score. Each was scored from 0 to 100, with higher scores representing better patient-perceived outcomes. Anchor-based MCID (HOOS pain 33, HOOS physical function 34, and HOOS joint replacement 18) and PASS thresholds (HOOS pain 80.6, HOOS physical function 83.6, and HOOS joint replacement 76.8) were utilized.

RESULTS

Patients readmitted within 90 days of an index THA were less likely to achieve the MCID in HOOS joint replacement (OR 1.5 [95% confidence interval (CI) 1.1 to 2.06]; p = 0.01). Similarly, compared with patients who were not readmitted, readmitted patients were less likely to achieve PASS thresholds in HOOS pain (OR 1.37 [95% CI 1.07 to 1.77]; p = 0.01) and HOOS joint replacement (OR 1.4 [95% CI 1.05 to 1.92]; p = 0.02). Patients readmitted for orthopaedic causes compared with those not readmitted were less likely to achieve the MCID in HOOS joint replacement (OR 2.59 [95% CI 1.56 to 4.31]; p < 0.001) and the PASS threshold in HOOS pain (OR 1.79 [95% 1.12 to 2.86]; p = 0.02) and HOOS joint replacement (1.76 [95% CI 1.06 to 2.93]; p = 0.03) at 1 year. However, patients readmitted for medical causes, compared with patients who were not readmitted, were not less likely to achieve MCID or PASS thresholds in any of the HOOS subscales. The 90-day readmission (Akaike information criterion [AIC] increase 14.1) was the sixth most important variable influencing the likelihood of not achieving the MCID in HOOS joint replacement, following PROM phenotype (AIC 265), opioid use (Narx score), smoking, insurance, and race. Similarly, 90-day readmission ranked as the seventh and sixth most important variable for not achieving PASS thresholds in HOOS pain (AIC increase 7.5) and HOOS joint replacement (AIC increase 8.3), respectively. Patients readmitted within 90 days were more likely to undergo further surgery compared with those who were not readmitted (20.3% versus 0.04%; p < 0.001).

CONCLUSION

Although medical-related readmissions are more frequent after THA, patients readmitted for orthopaedic causes are less likely to perceive meaningful improvements in pain relief and hip function at 1 year. Surgeons can reassure patients readmitted for medical reasons that their long-term symptom relief and functional recovery remain achievable. These findings highlight the importance of specifically identifying patients at higher risk of orthopaedic-related readmissions and implementing personalized preoperative optimization strategies tailored to their specific risk factors to reduce the chance of complications that may lead to readmission. Future studies should focus on identifying optimal management strategies for readmitted patients to ensure that they continue to perceive substantial benefits in their hip symptoms and function after surgery.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Evaluating variability in decision-making among spine surgeons treating adult spine deformity

BACKGROUND CONTEXT

Significant variability in the management of Adult Spinal Deformity (ASD) has been observed among spine surgeons worldwide. The variability among Canadian spine surgeons, a country with universal public healthcare, remains unknown.

PURPOSE

The study aims to evaluate areas of variability in the perioperative optimization and surgical management of ASD among Canadian spine surgeons.

STUDY DESIGN/SETTING

In this cross-sectional study, 25 Canadian spine surgeons, predominantly orthopedic surgeons (20) and neurosurgeons (5) with varying experience, participated in an online survey focused on Adult Spinal Deformity (ASD).

SAMPLE

The study involved 25 Canadian spine surgeons with varying level of experience, representing both orthopedic and neurosurgical specialities.

OUTCOME MEASURE

The study aimed to evaluate the variability in surgical decision-making and perioperative optimization strategies among Canadian spine surgeons when faced with simulated scenarios of ASD pathologies.

METHODS

The online survey presented 4 vignettes with simulated scenarios of the most common ASD pathologies, including High Grade Spondylolisthesis (HGS), Neglected Adolescent Idiopathic Scoliosis (NAIS), Degenerative Scoliosis (DS), and Flat Back Syndrome (FBS). Questions in the vignettes explored ASD surgical decision-making, while additional questions focused on perioperative optimization. Descriptive statistics were used to analyze multiple-choice responses, and open-text responses were categorized into themes.

RESULTS

Variability was observed in the duration conservative treatment across the 4 ASD cases. Surgeons exhibited variability in the use of preoperative osteoporosis treatment. There was varied use of a dedicated anesthesiology team. Surgical goals varied in HGS and NAIS. The primary surgical method was variable in DS and HGS, the type of osteotomy varied in DS and FBS, and level of fixation varied in HGS and NAIS. Consensus was observed in the use of intraoperative monitoring across of all 4 ASD pathologies, the implementation of a team-based approach, and the selection of the primary surgical goal in DS and FBS.

CONCLUSION

Our cross-sectional study revealed variability among Canadian spine surgeons in the management of ASD, potentially influenced by the uncertain ASD progression, the need for evidence-based nonsurgical guidelines, and insufficient evidence on optimal surgical approaches. These findings will help guide future research to ultimately reduce variability and improve ASD patient management and outcomes.

Fellowship-Trained Surgeons Experience a Learning Curve Performing Revision Total Joint Arthroplasty

BACKGROUND

Revision total hip arthroplasty (rTHA) and revision total knee arthroplasty (rTKA) require considerable surgical proficiency, but are frequently delegated to the least experienced surgeons. This study examined the influence of surgeon experience on revision outcomes.

METHODS

Prospective data on confirmed aseptic rTHAs (n = 122) and rTKAs (n = 195) performed by 4 fellowship-trained surgeons in the same practice were retrospectively analyzed. Surgeons were grouped based on years in practice (inexperienced [IE] first 2 years, early experience [EE] 4 to 6 years, and senior experience [SE] 15 to 17 years). Procedure duration, estimated blood loss (EBL), and reoperation rates were compared, controlling for potential covariates.

RESULTS

Procedure durations varied based on surgeon experience for 3 of 4 rTHA diagnoses (P ≤ 0.001). Relative to the SE surgeon, procedure duration was 80.0 (95% confidence interval 61.7 to 98.4, P < 0.001) minutes longer for IE surgeons and 30.9 (95% confidence interval 17.5 to 44.3, P < 0.001) minutes longer for the EE surgeon. Procedure durations also varied based on surgeon experience for 3 of 4 rTKA diagnoses (P < 0.001), with the longest durations for IE surgeons. Procedure durations varied based on the interaction of surgeon experience, patient age, and body mass index. The EBL did not differ in rTHA based on surgeon experience (P = 0.978), but did differ for rTKA (P = 0.004). There were 25% of rTHAs performed by IE surgeons compared to 15.5% for the EE surgeon and 3.6% for the SE surgeon that underwent reoperation within a year of the index procedure (P = 0.064), with significantly more reoperations for the same indication among IE and EE surgeons (P = 0.046).

CONCLUSIONS

Complex procedures completed by less experienced surgeons may result in longer procedures, higher EBL, and more early reoperations. Study findings implicate a learning curve for revision arthroplasty that continues for several years, warranting consideration of existing patient allocation and referral patterns.

Patient-Level Value Analysis in Total Hip Arthroplasty: Optimizing the Value of Care Delivery

BACKGROUND

Value is defined as the ratio of patient outcomes to the cost of care. One method to assess value is through patient-level value analysis (PLVA). To our knowledge, this tool has not previously been implemented in the setting of total hip arthroplasty (THA). The purposes of this study were to perform PLVA for a 1-year episode of care among patients undergoing primary THA and to identify characteristics that affect value in a metropolitan health-care system.

METHODS

The patient-reported outcome (PRO) measure database of the institution was queried for all primary THAs from 2018 to 2019. The PRO measure that was utilized was the Hip disability and Osteoarthritis Outcome Score, Joint Replacement (HOOS-JR). Cost was evaluated with use of time-driven activity-based costing (TDABC) for a 1-year episode of care (consisting of the day of surgery, inpatient stay, discharge facility, postoperative appointments, and physical therapy). The primary outcome was the 1-year value quotient, or the ratio of the 1-year change in HOOS-JR to the cost of the episode of care (VHOOS). The value quotient was compared among all included patients and evaluated for variables that may affect the overall value of the episode of care.

RESULTS

In total, 480 patients were included in the analysis. The mean improvement in the HOOS-JR was +34.9 ± 16.1 (95% confidence interval [CI]: 33.5, 36.3). The mean cost was $13,835 ± $3,471 (95% CI: $13,524, $14,146). The largest contributor to cost was implants (39.0%), followed by post-recovery care (i.e., inpatient stay and specialized nursing facilities; 24.1%). Change in the HOOS-JR was poorly correlated with the cost of care (r = -0.06; p = 0.19). THAs performed at an ambulatory surgery center (ASC) with discharge to home demonstrated higher value (VHOOS = 0.42) than THAs performed at a hospital with discharge to a rehabilitation facility (VHOOS = 0.15; analysis of variance F-test, p < 0.01).

CONCLUSIONS

Our study found that PROs did not correlate with costs in the setting of primary THA. Implants were the largest cost driver. Surgical setting (an ASC versus a hospital) and discharge destination influenced value as well. PLVA is a value measurement tool that can be utilized to optimize components of the care delivery pathway.

LEVEL OF EVIDENCE

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Machine learning for predicting duration of surgery and length of stay: A literature review on joint arthroplasty

INTRODUCTION

In recent years, different factors such as population aging have caused escalating demand for hip and knee arthroplasty straining already limited hospitals' resources. To address this challenge, focus is put on medical and operational efficiency improvements. This includes an increased use of machine learning (ML) to predict duration of surgery (DOS) and length of stay (LOS) for total knee and total hip arthroplasty, which can be utilized for optimizing resource allocation to satisfy medical and operational limitations. This paper explores the development and performance of ML models in predicting DOS and LOS.

METHODS

A systematic search of publications between 2010-2023 was conducted following PRISMA guidelines. Considering the inclusion and exclusion criteria, 28 out of 722 gathered papers from PubMed, Web of Science, and manual search were included in the study. Descriptive statistics was used to analyze the extracted data regarding data preprocessing, model development, and model performance assessment.

RESULTS

Most of the papers work on LOS as a binary variable. Patient's age was identified as the most frequently used and reported as important variable for predicting DOS and LOS. Investigations also illustrated that within the resulting 28 papers, more than 71% of models reached good to perfect performance based on the area under the receiver operating characteristic curve (AUC), where artificial neural networks and ensemble learning models had the biggest share among the best-performing models.

CONCLUSION

The utilization of ML models is increasing in the literature. The current performance level indicates that ML can potentially turn to powerful tools in predicting DOS and LOS for different purposes. Meanwhile, the literature is not matured yet in reporting real-life application. Future studies can focus on model specification and validation by considering empirical application.

Statistical models and implant customization in hip arthroplasty: Seeking patient satisfaction through design

Objectives

This study conducts a systematic literature review to explore the role of statistical models and methods in the design of orthopedic implants, with a specific focus on hip arthroplasty. Through a comprehensive analysis of the scientific literature, it aims to understand the relevance and applicability of these models in implant development and research trends in the field of design.

Methods

Data analysis and co-occurrence mapping techniques were employed to investigate the statistical models used as predictors of satisfaction in hip arthroplasty and in implant design. This approach facilitated a detailed and objective assessment of existing literature, revealing key trends and identifying gaps in current knowledge.

Key findings

The review's findings underscore a burgeoning interest in implant customization, with a significant emphasis on leveraging statistical techniques for optimal design. The logistic model methodology was applied to analyze a survey of hip surgery specialists, revealing that the physician's age does not influence the decision to use a customized implant. Furthermore, the review highlighted a knowledge gap at the intersection of statistics and design discipline concerning implant customization.

Significance

Despite the recognized importance of customization in implant design, there remains a dearth of contributions from the design discipline perspective in the existing literature, indicating substantial room for improvement and the need for interdisciplinary integration.

Conclusion

The integration of statistical methods in implant design is crucial, emphasizing the need for multidisciplinary approaches and customization to enhance patient satisfaction. This study provides a foundation for future research that could transform the field of hip arthroplasty through more personalized and effective solutions.

Inflammatory bowel disease patients undergoing total hip arthroplasty have higher odds of implant-related complications

PURPOSE

This study evaluates whether IBD patients are at increased risk of implant-related complications after THA.

MATERIALS AND METHODS

A retrospective study from 01 January 2010 to 31 October 31 2020 using an administrative claims database was performed. IBD patients undergoing THA (n = 11,025), without corticosteroid treatment, were propensity score matched to controls in a 1:5 ratio (n = 55,121) based on age, sex, and the Charlson Comorbidity Index (CCI). Outcomes evaluated included periprosthetic fracture, aseptic loosening, prosthetic joint infection, and THA revision within 2 years of index procedure. Chi-square analyses were used to compare the matched cohorts. The association of IBD and implant-related complications was evaluated using logistical regression to calculate odds ratios (ORs), 95% confidence intervals (95% CIs), and p-values. A p-value < 0.001 was used as the significance threshold.

RESULTS

Patients with IBD had a greater incidence and odds of total implant complications (7.03% vs. 3.98%; OR 1.76; p < 0.001) compared with matched controls. IBD patients had significantly higher incidence and odds of developing periprosthetic fracture (0.50% vs. 0.20%; OR 2.46; p < 0.001), THA revisions (2.21% vs. 1.17%; OR 1.91; p < 0.001), aseptic loosening (1.45% vs. 0.84%; OR 1.75; p < 0.001), and prosthetic joint infection (2.87% vs. 1.77%; OR 1.64; p < 0.001).

CONCLUSIONS

Patients with IBD who underwent primary THA had a significantly higher risk of implant-related complications compared to matched controls. Providers should use this study to appropriately assess post-complication risk factors for their patients with IBD.

How to Raise the Bar in the Capture of Patient-Reported Outcome Measures in Total Joint Arthroplasty: Results from Active and Passive Follow-up Measures

BACKGROUND

With the upcoming U.S. Centers for Medicare & Medicaid Services 2027 policy for mandatory reporting of patient-reported outcome measures (PROMs) for total hip or knee arthroplasty (THA or TKA), it is important to evaluate the resources required to achieve adequate PROM collection and reporting at a clinically relevant rate of follow-up. This study aimed to (1) determine follow-up rates for 1-year PROMs when the follow-up was conducted with active methods (attempted contact by staff) and passive (automated) methods, and (2) evaluate factors associated with higher odds of requiring active follow-up or being lost to follow-up following THA or TKA.

METHODS

A prospective cohort of patients undergoing primary elective THA (n = 7,436) or TKA (n = 10,119) between January 2016 and December 2020 at a single institution were included. The primary outcome was the response rate achieved with active and passive follow-up methods at our institution. Patient characteristics, health-care utilization parameters, PROM values, and patient satisfaction were compared between follow-up methods.

RESULTS

Passive and active measures were successful for 38% (2,859) and 40% (3,004) of the THA cohort, respectively, while 21% (1,573) were lost to follow-up. Similarly, passive and active measures were successful for 40% (4,001) and 41% (4,161) of the TKA cohort, respectively, while 20% (2,037) were lost to follow-up. Younger age, male sex, Black or another non-White race, fewer years of education, smoking, Medicare or Medicaid insurance, and specific baseline PROM phenotypes (i.e., with scores in the lower half for pain, function, and/or mental health) were associated with loss to follow-up. Older age, male sex, Black race, and a residence with a higher Area Deprivation Index were associated with requiring active follow-up.

CONCLUSIONS

One of 5 patients were lost to follow-up despite active and passive measures following THA or TKA. These patients were more likely to be younger, be male, be of Black or another non-White race, have fewer years of education, be a smoker, have Medicaid insurance, and have specific baseline PROM phenotypes. Innovative strategies aimed at targeting individuals with these baseline characteristics may help raise the bar and increase follow-up while mitigating costs after total joint arthroplasty.

LEVEL OF EVIDENCE

Prognostic Level II . See Instructions for Authors for a complete description of levels of evidence.

Surgeon Performance as a Predictor for Patient-Reported Outcomes After Arthroscopic Partial Meniscectomy

Background

Surgeon performance has been investigated as a factor affecting patient outcomes after orthopaedic procedures to improve transparency between patients and providers.

Purpose/Hypothesis

The purpose of this study was to identify whether surgeon performance influenced patient-reported outcomes (PROMs) 1 year after arthroscopic partial meniscectomy (APM). It was hypothesized that there would be no significant difference in PROMs between patients who underwent APM from various surgeons.

Study Design

Case-control study; Level of evidence, 3.

Methods

A prospective cohort of 794 patients who underwent APM between 2018 and 2019 were included in the analysis. A total of 34 surgeons from a large multicenter health care center were included. Three multivariable models were built to determine whether the surgeon-among demographic and meniscal pathology factors-was a significant variable for predicting the Knee injury and Osteoarthritis Outcome Score (KOOS)-Pain subscale, the Patient Acceptable Symptom State (PASS), and a 10-point improvement in the KOOS-Pain at 1 year after APM. Likelihood ratio (LR) tests were used to determine the significance of the surgeon variable in the models.

Results

The 794 patients were identified from the multicenter hospital system. The baseline KOOS-Pain score was a significant predictor of outcome in the 1-year KOOS-Pain model (odds ratio [OR], 2.1 [95% CI, 1.77-2.48]; P < .001), the KOOS-Pain 10-point improvement model (OR, 0.57 [95% CI, 0.44-0.73), and the 1-year PASS model (OR, 1.42 [95% CI, 1.15-1.76]; P = .002) among articular cartilage pathology (bipolar medial cartilage) and patient-factor variables, including body mass index, Veterans RAND 12-Item Health Survey-Mental Component Score, and Area Deprivation Index. The individual surgeon significantly impacted outcomes in the 1-year KOOS-Pain mixed model in the LR test (P = .004).

Conclusion

Patient factors and characteristics are better predictors for patient outcomes 1 year after APM than surgeon characteristics, specifically baseline KOOS-Pain, although an individual surgeon influenced the 1-Year KOOS-Pain mixed model in the LR test. This finding has key clinical implications; surgeons who wish to improve patient outcomes after APM should focus on improving patient selection rather than improving the surgical technique. Future research is needed to determine whether surgeon variability has an impact on longer-term patient outcomes.

Lower 90-day inpatient readmission and 1-year reoperation in patients undergoing robotic versus manual total hip arthroplasty through an anterior approach

BACKGROUND

The value of robotic-assisted total hip arthroplasty (rTHA) has yet to be determined compared to conventional manual THA (mTHA).

OBJECTIVE

Evaluate 90-day inpatient readmission rates, rates of reoperation, and clinically significant improvement of patient-reported outcome measures (PROMs) at 1-year in a cohort of patients who underwent mTHA or rTHA through a direct anterior (DA) approach.

METHODS

A single-surgeon, prospective institutional cohort of 362 patients who underwent primary THA for osteoarthritis via the DA approach between February 2019 and November 2020 were included. Patient demographics, surgical time, discharge disposition, length of stay, acetabular cup size, 90-day inpatient readmission, 1-year reoperation, and 1-year PROMs were collected for 148 manual and 214 robotic THAs, respectively.

RESULTS

Patients undergoing rTHA had lower 90-day readmission (3.74% vs 9.46%, p= 0.04) and lower 1-year reoperation (0.93% vs 4.73% mTHA, p= 0.04). rTHA acetabular cup sizes were smaller (rTHA median 52, interquartile range [IQR] 50; 54, mTHA median 54, IQR 52; 58, p< 0.001). Surgical time was longer for rTHA (114 minutes vs 101 minutes, p< 0.001). At 1-year post-operatively, there was no difference in any of the PROMs evaluated.

CONCLUSION

Robotic THA demonstrated lower 90-day readmissions and 1-year reoperation rates than manual THA via the DA approach. PROMs were not significantly different between the two groups at one year.

Intersurgeon Variability of Minimal Clinically Important Difference for Worsening Achievement Rates After Total Joint Arthroplasty

BACKGROUND

Using the Patient-Reported Outcome Measurement Information System, we sought to evaluate surgeon performance variability via minimal clinically important difference for worsening (MCID-W) achievement rates in primary and revision total knee and hip arthroplasty.

METHODS

This retrospective study analyzed 3,496 primary total hip arthroplasty (THA), 4,622 primary total knee arthroplasty (TKA), 592 revision THA, and 569 revision TKA patients. Patient factors collected included demographics, comorbidities, and Patient-Reported Outcome Measurement Information System physical function short form 10a scores. Surgeon factors collected included caseload, years of experience, and fellowship training. The MCID-W rate was calculated as the percent of patients in each surgeon's cohort who achieved MCID-W. Distribution was presented via a histogram with associated average, standard deviation, range, and interquartile range (IQR). Linear regressions were performed to evaluate the potential correlation between surgeon- and patient-level factors with MCID-W rate.

RESULTS

The average MCID-W rates of the surgeons represented in the primary THA and TKA cohorts were 12.7 ± 9.2% (range, 0 to 35.3%; IQR, 6.7 to 15.5%) and 18.0 ± 8.2% (range, 0 to 36%; IQR, 14.3 to 22.0%). The average MCID-W rates among the revision THA and TKA surgeons were 36.0 ± 22.2% (range, 9.1 to 90%; IQR, 25.0 to 41.4%) and 21.2 ± 7.7% (range, 8.1 to 37.0%; IQR, 16.6 to 25.4%). Strong correlations were not found between patient- or surgeon-level factors and MCID-W rate of the surgeon.

CONCLUSION

We demonstrated variance in MCID-W achievement rates across surgeons in both primary and revision joint arthroplasty, independent of patient- or surgeon-level factors.

How Much Perioperative Pain and Dysfunction Underlie the HOOS JR and KOOS JR?

BACKGROUND

The Hip Disability and Osteoarthritis Outcome Score Joint Replacement (HOOS JR) and Knee Injury and Osteoarthritis Outcome Score Joint Replacement (KOOS JR) scores represent pain and dysfunction as a single number ranging from 0 (extreme pain and dysfunction) to 100 (no pain or functional limitations). However, scores between 0 and 100 lack a simple interpretation because they reflect varying combinations of pain levels and dysfunction. Given that most adverse events and improvement occur within the first 90 days after surgery, a deeper understanding of the level of pain and dysfunction may reveal missed opportunities for patient care.

QUESTIONS/PURPOSES

(1) What does a given preoperative or postoperative HOOS JR and KOOS JR score indicate about pain and ability to perform daily activities? (2) How much of a change in score (that is, delta) is needed to indicate significant improvement in pain control and daily functioning?

METHODS

The Michigan Arthroplasty Registry Collaborative Quality Initiative contains more than 95% of THAs and TKAs performed in Michigan. Between January 2017 and March 2019, 84,175 people in the registry underwent primary THA or TKA and were potentially eligible for this retrospective, comparative study of the first 90 postoperative days. Eighty-four percent (70,608 of 84,175) were excluded because their surgeons did not attain a target survey collection proportion of 70% and another 6% (5042) were missing covariate information or surveys, leaving 10% (8525) for analysis. The mean age and percentage of women were 65 ± 11 years and 55% (2060 of 3716), respectively, for patients undergoing THA and 67 ± 9 years and 61% (2936 of 4809), respectively, for those undergoing TKA. There were no clinically meaningful differences between patients who were analyzed and those who were excluded except for lower representation of non-White patients in the analyzed group. For interpretation, patient responses to Question 7 (pain) and Question 6 (function) from the Patient-Reported Outcomes Measurement Information System global items (PROMIS-10) were dichotomized into "much pain" (rating of pain 4 to 10 of 10) versus "less pain" (rating of ≤ 3) and "good function" (able to perform most activities) versus "poor function" (not able to perform most activities) and combined into four pain-function categories. We examined the mean preoperative and postoperative HOOS JR and KOOS JR scores for each pain-function category, adjusted for patient characteristics. We calculated the size of the delta associated with an increase to a more favorable category postoperatively (versus staying in the same or worse category) via multivariable logistic regression that controlled for patient characteristics.

RESULTS

Patients in the least favorable "much pain, poor function" category preoperatively had adjusted mean scores of 40 (95% confidence interval 39 to 41) for both the HOOS JR and KOOS JR. Those with mixed levels of pain and function had mean scores between 46 and 55. Those in the most favorable "less pain, good function" category had means of 60 (95% CI 58 to 62) and 59 (95% CI 58 to 61) for the HOOS JR and KOOS JR, respectively. The adjusted delta to achieve a pain level of ≤ 3 or the ability to perform most activities was 30 (95% CI 26 to 36) on the HOOS JR and 27 (95% CI 22 to 29) on the KOOS JR scales.

CONCLUSION

These adjusted means of the HOOS JR and KOOS JR provide context for understanding the levels of pain and dysfunction for individuals as well for patients reported in other studies. Potential quality improvement efforts could include tracking the proportion of patients with THA or TKA who achieved a sufficient delta to attain pain levels of ≤ 3 or the ability to perform most activities. Future studies are needed to understand pain and function represented by the HOOS JR and KOOS JR at 1 to 2 years, how these may differ by patient subgroups, and whether scores can be improved through quality improvement efforts.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Hospital Teaching Status and Patient-Reported Outcomes Following Primary Total Hip Arthroplasty: An American Joint Replacement Registry Study

INTRODUCTION

Previous studies have shown lower morbidity and mortality rates after total hip arthroplasty (THA) at academic teaching hospitals. This study sought to determine the relationship between hospital teaching status and patient-reported outcome measures following primary THA.

METHODS

Using American Joint Replacement Registry data from 2012 to 2020, 4,447 primary, elective THAs with both preoperative and one year postoperative Hip disability and Osteoarthritis Outcome Score, Joint Replacement (HOOS, JR) scores were analyzed. The main exposure variable was hospital teaching status, with three cohorts, as follows: major teaching hospitals, minor teaching hospitals, and non-teaching hospitals. Mean preoperative and one year postoperative HOOS, JR scores were compared.

RESULTS

Preoperative HOOS, JR scores (nonteaching: 49.69 ± 14.42 versus major teaching: 47.68 ± 15.10 versus minor teaching: 42.46 ± 19.19, P < .001) were significantly higher at non-teaching hospitals than major and minor teaching hospitals, and these differences persisted at one year postoperatively (87.40 ± 15.14 versus 83.87 ± 16.68 versus 80.37 ± 19.27, P < .001). Both preoperative and postoperative differences in HOOS, JR scores were less than the minimum clinically important difference (MCID) at both time points. In multivariate regressions, non-teaching and minor teaching hospitals had similar odds of MCID achievement in HOOS, JR scores compared to major teaching hospitals.

CONCLUSION

Using the HOOS, JR score as a validated outcome measure, undergoing primary THA at an academic teaching hospital did not correlate with higher postoperative HOOS, JR scores or greater chances of MCID achievement in HOOS, JR scores compared to non-teaching hospitals. Further work is required to determine the most important factors that may lead to improvement in patient-reported outcomes following THA.

The learning curve for anatomic and reverse total shoulder arthroplasty: a systematic review

Background

Despite the rising incidence of anatomic total shoulder arthroplasty (ATSA) and reverse total shoulder arthroplasty (RTSA) among surgeons, little is known about the learning curve associated with these procedures. The purpose of this systematic review was to (1) identify the learning curves associated with ATSA and RTSA, (2) evaluate the effect of the learning curves on clinical outcomes, and (3) determine the number of cases needed to achieve proficiency.

Methods

Four online databases [PubMed (NLM), MEDLINE (OVID), Cochrane Library (Wiley), and Scopus (Elsevier)] were systematically searched and screened according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. The search included results from the inception of each database to May 18, 2022. Data regarding study characteristics, patient demographics, learning curve analyses, patient reported outcome measures, range of motion, complication rates, and reoperation rates were collected. A quality assessment for each article was performed according to the Methodological Index for Nonrandomized Studies criteria.

Results

A total of 13 studies of fair to good quality were included for analysis (one of level II evidence, five of level III, and seven of level IV) with the majority originating from the United States [n = 8, 61.5%]. Overall, there were a total of 3381 cases (1861 RTSA and 1520 ATSA), with a mean patient age of 72.6 years [range: 45-92 years]. From the studies analyzed in this systematic review, for RTSA, the approximate average number of cases surgeons need to perform to move to an acceptable position on the RTSA learning curve is 25 cases. For ATSA, a wider range of 16-86 cases was derived as only two studies reported on ATSA.

Conclusion

Progression along the learning curve for RTSA and ATSA results in decreased operative times, improved patient-reported outcomes, and fewer complications. However, a true learning curve is difficult to quantify given the heterogeneity of reported outcome measures, individual surgeon experience at the time of data collection, and statistical analyses used across studies.

Impaction procedure influences primary stability of acetabular press-fit components

The aim of the study was to investigate whether the primary stability of press-fit acetabular components can be improved by altering the impaction procedure. Three impaction procedures were used to implant acetabular components into human cadaveric acetabula using a powered impaction device. An impaction frequency of 1 Hz until complete component seating served as reference. Overimpaction was simulated by adding ten strokes after complete component seating. High-frequency implantation was performed at 6 Hz. The lever-out moment of the acetabular components was used as measure for primary stability. Permanent bone deformation was assessed by comparison of double micro-CT (µCT) measurements before and after impaction. Acetabular component deformation and impaction forces were recorded, and the extent of bone-implant contact was determined from 3D laser scans. Overimpaction reduced primary acetabular component stability (p = 0.038) but did not significantly increase strain release after implantation (p = 0.117) or plastic deformations (p = 0.193). Higher press-fits were associated with larger polar gaps for the 1 Hz reference impaction (p = 0.002, R2 = 0.77), with a similar trend for overimpaction (p = 0.082, R2 = 0.31). High-frequency impaction did not significantly increase primary stability (p = 0.170) at lower impaction forces (p = 0.001); it was associated with smaller plastic deformations (p = 0.035, R2 = 0.34) and a trend for increased acetabular component relaxation between strokes (p = 0.112). Higher press-fit was not related to larger polar gaps for the 6 Hz impaction (p = 0.346). Overimpaction of press-fit acetabular components should be prevented since additional strokes can be associated with increased bone damage and reduced primary stability as shown in this study. High-frequency impaction at 6 Hz was shown to be beneficial compared with 1 Hz impaction. This benefit has to be confirmed in clinical studies.

The Effect of Surgeon and Hospital Volume on Total Hip Arthroplasty Patient-Reported Outcome Measures: An American Joint Replacement Registry Study

BACKGROUND

Some studies have shown lower morbidity and mortality rates with increased surgeon and hospital volumes after total hip arthroplasty (THA). This study sought to determine the relationship between surgeon and hospital volumes and patient-reported outcome measures after THA using American Joint Replacement Registry data.

METHODS

Using American Joint Replacement Registry data from 2012 to 2020, 4,447 primary, elective THAs with both preoperative and 1-year postoperative Hip Dysfunction and Osteoarthritis Outcome Score for Joint Replacement (HOOS-JR) scores were analyzed. This study was powered to detect the minimum clinically important difference (MCID). The main exposure variables were median annual surgeon and hospital volumes. Tertiles were formed based on the median annual number of THAs conducted: low-volume (1 to 42), medium-volume (42 to 96), and high-volume (≥96) surgeons and low-volume (1 to 201), medium-volume (201 to 392), and high-volume (≥392) hospitals. Mean preoperative and 1-year postoperative HOOS-JR scores were compared.

RESULTS

Preoperative HOOS-JR scores were significantly higher at high-volume hospitals than low-volume and medium-volume hospitals (49.66 ± 15.19 vs. 47.68 ± 15.09 and 48.34 ± 15.22, P < 0.001), although these differences were less than the MCID. At the 1-year follow-up, no difference was noted with no resultant MCID. Preoperative and 1-year HOOS-JR scores did not markedly vary with surgeon volume. In multivariate regression, low-volume and medium-volume surgeons and hospitals had similar odds of MCID achievement in HOOS-JR scores compared with high-volume surgeons and hospitals, respectively.

CONCLUSION

Using the HOOS-JR score as a validated patient-reported outcome measure, higher surgeon or hospital THA volume did not correlate with higher postoperative HOOS-JR scores or greater chances of MCID achievement in HOOS-JR scores compared with medium and lower volume surgeons and hospitals.

The Impact of Surgeon Variability on Patient-Reported Outcome Measures, Length of Stay, Discharge Disposition, and 90-Day Readmission in TKA

BACKGROUND

Studies involving total knee arthroplasty (TKA) have focused on patient-related factors as drivers of outcomes. Although some studies have investigated surgeon and/or surgery-level factors (i.e., approach, volume), the measure of variance in postoperative outcomes across surgeons following TKA has not been determined. The aim of the current study was to evaluate the relationship between the surgeon and 1-year patient-reported outcome measures, the length of stay, the discharge disposition, and 90-day readmission after TKA, as well as the differences in these variables among surgeons.

METHODS

Data were prospectively collected for 5,429 patients who underwent TKA at a large health-care system with 36 surgeons between 2016 and 2018. Likelihood ratio tests were performed to investigate the relationship between surgeon and the 1-year Knee injury and Osteoarthritis Outcome Score (KOOS)-Pain subscale, KOOS-Physical Function Shortform (KOOS-PS), KOOS for Joint Replacement (KOOS-JR), patient acceptable symptom state (PASS), length of stay, discharge disposition, and 90-day readmission. The minimal clinically important difference (MCID) was used to assess meaningful outcomes. Variable importance was determined by the Akaike information criterion (AIC) increase, using ordinal and binary-response mixed-effect models.

RESULTS

There was a significant association between surgeon and KOOS-Pain (p < 0.001), KOOS-PS (p = 0.001), KOOS-JR (p < 0.001), PASS (p = 0.024), length of stay (p < 0.001), discharge disposition (p < 0.001), and 90-day readmission (p < 0.001). When modeling 1-year KOOS-Pain (AIC increase, 15.6), KOOS-PS (AIC increase, 6.8), KOOS-JR (AIC increase, 13.5), PASS (AIC increase, 1.9), length of stay, and discharge disposition, the surgeon variable contributed more to the 1-year outcome than some patient-level factors (e.g., body mass index, Charlson Comorbidity Index). The difference between the highest and lowest median probabilities of attaining the same value for the KOOS-Pain (11.2%), KOOS-PS (9.4%), KOOS-JR (11.8%), PASS (5.9%), length of stay (46.6%), discharge disposition (22.8%), and readmission (13.1%) indicated surgeon-level variability.

CONCLUSIONS

Surgeon-related factors may be stronger contributors to the 1-year patient-reported outcome measures and length of stay than patient characteristics emphasized in the literature. Current findings have suggested variability in patient-reported outcome measures, length of stay, discharge location, and 90-day readmission among surgeons. Surgeon variability should be considered when model-fitting in the setting of TKA.

LEVEL OF EVIDENCE

Prognostic Level II . See Instructions for Authors for a complete description of levels of evidence.