High Risk of Readmission After THA Regardless of Functional Status in Patients Discharged to Skilled Nursing Facility.

BACKGROUND: The postoperative period and subsequent discharge planning are critical in our continued efforts to decrease the risk of complications after THA. Patients discharged to skilled nursing facilities (SNFs) have consistently exhibited higher readmission rates compared with those discharged to home healthcare. This elevated risk has been attributed to several factors but whether readmission is associated with patient functional status is not known. QUESTIONS/PURPOSES: After controlling for relevant confounding variables (functional status, age, gender, caregiver support available at home, diagnosis [osteoarthritis (OA) versus non-OA], Charlson comorbidity index [CCI], the Area Deprivation Index [ADI], and insurance), are the odds of 30- and 90-day hospital readmission greater among patients initially discharged to SNFs than among those treated with home healthcare after THA? METHODS: This was a retrospective, comparative study of patients undergoing THA at any of 11 hospitals in a single, large, academic healthcare system between 2017 and 2022 who were discharged to an SNF or home healthcare. During this period, 13,262 patients were included. Patients discharged to SNFs were older (73 ± 11 years versus 65 ± 11 years; p < 0.001), less independent at hospital discharge (6-click score: 16 ± 3.2 versus 22 ± 2.3; p < 0.001), more were women (71% [1279 of 1796] versus 56% [6447 of 11,466]; p < 0.001), insured by Medicare (83% [1497 of 1796] versus 52% [5974 of 11,466]; p < 0.001), living in areas with greater deprivation (30% [533 of 1796] versus 19% [2229 of 11,466]; p < 0.001), and had less assistance available from at-home caregivers (29% [527 of 1796] versus 57% [6484 of 11,466]; p < 0.001). The primary outcomes assessed in this study were 30- and 90-day hospital readmissions. Although the system automatically flags readmissions occurring within 90 days at the various facilities in the overall healthcare system, readmissions occurring outside the system would not be captured. Therefore, we were not able to account for potential differential rates of readmission to external healthcare systems between the groups. However, given the large size and broad geographic coverage of the healthcare system analyzed, we expect the readmissions data captured to be representative of the study population. The focus on a single healthcare system also ensures consistency in readmission identification and reporting across subjects. We evaluated the association between discharge disposition (home healthcare versus SNF) and readmission. Covariates evaluated included age, gender, primary payer, primary diagnosis, CCI, ADI, the availability of at-home caregivers for the patient, and the Activity Measure for Post-Acute Care (AM-PAC) 6-clicks basic mobility score in the hospital. The adjusted relative risk (ARR) of readmission within 30 and 90 days of discharge to SNF (versus home healthcare) was estimated using modified Poisson regression models. RESULTS: After adjusting for the 6-clicks mobility score, age, gender, ADI, OA versus non-OA, living environment, CCI, and insurance, patients discharged to an SNF were more likely to be readmitted within 30 and 90 days compared with home healthcare after THA (ARR 1.46 [95% CI 1.01 to 2.13]; p= 0.046 and ARR 1.57 [95% CI 1.23 to 2.01]; p < 0.001, respectively). CONCLUSION: Patients discharged to SNFs after THA had a slightly higher likelihood of hospital readmission within 30 and 90 days compared with those discharged with home healthcare. This difference persisted even after adjusting for relevant factors like functional status, home support, and social determinants of health. These results indicate that for suitable patients, direct home discharge may be a safer and more cost-effective option than SNFs. Clinicians should carefully consider these risks and benefits when making postoperative discharge plans. Policymakers could consider incentives and reforms to improve care transitions and coordination across settings. Further research using robust methods is needed to clarify the reasons for higher SNF readmission rates. Detailed analysis of patient complexity, care processes, and causes of readmission in SNFs versus home health could identify areas for quality improvement. Prospective cohorts or randomized trials would allow stronger conclusions about cause-and-effect. Importantly, no patients should be unfairly "cherry-picked" or "lemon-dropped" based only on readmission risk scores. With proper support and care coordination, even complex patients can have good outcomes. The goal should be providing excellent rehabilitation for all, while continuously improving quality, safety, and value across settings. LEVEL OF EVIDENCE: Level III, therapeutic study.

High Area Deprivation Index is Associated With Not Achieving the Patient-acceptable Symptom State After TKA.

BACKGROUND: The Area Deprivation Index (ADI) approximates a patient's relative socioeconomic deprivation. The ADI has been associated with increased healthcare use after TKA, but it is unknown whether there is an association with patient-reported outcome measures (PROMs). Given that a high proportion of patients are dissatisfied with their results after TKA, and the large number of these procedures performed, knowledge of factors associated with PROMs may indicate opportunities to provide support to patients who might benefit from it. QUESTIONS/PURPOSES: (1) Is the ADI associated with achieving the minimum clinically important difference (MCID) for the Knee Injury and Osteoarthritis Outcome Score (KOOS) for pain, Joint Replacement (JR), and Physical Function (PS) short forms after TKA? (2) Is the ADI associated with achieving the patient-acceptable symptom state (PASS) thresholds for the KOOS pain, JR, and PS short forms? METHODS: This was a retrospective study of data drawn from a longitudinally maintained database. Between January 2016 and July 2021, a total of 12,239 patients underwent unilateral TKA at a tertiary healthcare center. Of these, 92% (11,213) had available baseline PROM data and were potentially eligible. An additional 21% (2400) of patients were lost before the minimum study follow-up of 1 year or had incomplete data, leaving 79% (8813) for analysis here. The MCID is the smallest change in an outcome score that a patient is likely to perceive as a clinically important improvement, and the PASS refers to the threshold beyond which patients consider their symptoms acceptable and consistent with adequate functioning and well-being. MCIDs were calculated using a distribution-based method. Multivariable logistic regression models were created to investigate the association of ADI with 1-year PROMs while controlling for patient demographic variables. ADI was stratified into quintiles based on their distribution in our sample. Achievement of MCID and PASS thresholds was determined by the improvement between preoperative and 1-year PROMs. RESULTS: After controlling for patient demographic factors, ADI was not associated with an inability to achieve the MCID for the KOOS pain, KOOS PS, or KOOS JR. A higher ADI was independently associated with an increased risk of inability to achieve the PASS for KOOS pain (for example, the odds ratio of those in the ADI category of 83 to 100 compared with those in the 1 to 32 category was 1.34 [95% confidence interval 1.13 to 1.58]) and KOOS JR (for example, the OR of those in the ADI category of 83 to 100 compared with those in the 1 the 32 category was 1.29 [95% CI 1.10 to 1.53]), but not KOOS PS (for example, the OR of those in the ADI category of 83 to 100 compared with those in the 1 the 32 category was 1.09 [95% CI 0.92 to 1.29]). CONCLUSION: Our findings suggest that social and economic factors are associated with patients' perceptions of their overall pain and function after TKA, but such factors are not associated with patients' perceptions of their improvement in symptoms. Patients from areas with higher deprivation may be an at-risk population and could benefit from targeted interventions to improve their perception of their healthcare experience, such as through referrals to nonemergent medical transportation and supporting applications to local care coordination services before proceeding with TKA. Future research should investigate the mechanisms underlying why socioeconomic disadvantage is associated with inability to achieve the PASS, but not the MCID, after TKA. LEVEL OF EVIDENCE: Level III, therapeutic study.

Establishing the Minimal Clinically Important Difference and Patient Acceptable Symptom State Thresholds Following Arthroscopic Capsular Release for the Treatment of Idiopathic Shoulder Adhesive Capsulitis.

PURPOSE: To determine the minimal clinically important difference (MCID) and the patient acceptable symptom state (PASS) threshold for the visual analog scale (VAS), Constant, Single Assessment Numeric Evaluation (SANE), and American Shoulder and Elbow Surgeons (ASES) scores following arthroscopic capsular release for the treatment of idiopathic shoulder adhesive capsulitis. METHODS: A retrospective review of prospective collected data was performed in patients undergoing arthroscopic capsular release for the treatment of idiopathic adhesive capsulitis at a single institution from January 2018 through January 2019. Patient-reported outcome measures were collected preoperatively and 6 months' postoperatively. Delta was defined as the change between preoperative and 6 months' postoperative scores. Distribution-based and anchored-based (response to a satisfaction question at 1 year) approaches were used to estimate MCIDs and PASS, respectively. The optimal cut-off point where sensitivity and specificity were maximized (Youden index) and the percentage of patients achieving those thresholds were also calculated. RESULTS: Overall, a total of 100 patients without diabetes who underwent arthroscopic capsular release and completed baseline and 6-month patient-reported outcome measures were included. The distribution-based MCID for VAS, Constant, SANE, and ASES were calculated to be 1.1, 10.1, 9.3, and 8.2, respectively. The rate of patients who achieved MCID thresholds was 98% for VAS, 96% for Constant, 98% for SANE, and 99% for ASES. The PASS threshold values for VAS, Constant, and ASES were ≤2, ≥70, ≥80, and ≥80, respectively. The rate of patients who achieved PASS thresholds was 84% for VAS, 84% for Constant, 89% for SANE, and 78% for ASES. CONCLUSIONS: In patients without diabetes and idiopathic adhesive capsulitis, high rates of MCID and PASS thresholds can be achieved with arthroscopic anteroinferior capsular release LEVEL OF EVIDENCE: Level IV, retrospective cohort study.

Shoulder Instability-Return to Sports After Injury (SIRSI) Scale Shows That Lack of Psychological Readiness Predicts Outcomes and Recurrence Following Surgical Stabilization.

PURPOSE: This study aimed to evaluate the predictive ability of psychological readiness to return to sports on clinical outcomes and recurrences in athletes who return to sports following shoulder instability surgery. METHODS: A retrospective analysis was performed of patients who underwent shoulder instability surgery between September 2020 and October 2021 (arthroscopic Bankart repair or Latarjet procedure) with a minimum follow-up of 2 years. Patients were grouped according to the achievement of psychological readiness to return to play using the SIRSI scale (≥ 55 points) measured at 6 months following surgery. Recurrences were measured and functional outcomes were evaluated by the Visual Analogue Scale (VAS), Rowe, and Athletic Shoulder Outcome Scoring System (ASOSS). The minimal clinically important difference (MCID) for the VAS and Rowe scores was calculated using the distribution-based method of ½ standard deviation of the delta (difference between postoperative and preoperative scores). The patient acceptable symptomatic state (PASS) for the VAS scale was set at 2.5 based on previous literature. To evaluate the predictive ability of SIRSI a regression model analysis and a receiver operating characteristic (ROC) curve were used. RESULTS: A total of 108 who achieved psychological readiness (PSR) and 41 who did not (NPSR) met the study criteria. PSR achieved significantly higher percentages of MCID and PASS thresholds for VAS than NPSR (MCID: 68.5% vs 48.7%, p=0.026; PASS: 92.5% vs 58.5%, p<0.001). However, there were no differences in the percentage of patients achieving MCID for the Rowe score between groups (98.1% vs 100%, p=0.999). The only strongest independent predictor of postoperative outcomes was being psychologically ready to return to sports. The SIRSI scale had an excellent predictive ability for recurrences (area under curve 0.745, 95% CI 0.5-0.8). Of those who sustained a recurrence, 20% were not psychologically ready compared to 4.3% who were (p= 0.002). A power analysis was not conducted for this study. CONCLUSION: The SIRSI scale is associated with postoperative clinical outcomes and recurrences in patients who returned to sports following shoulder instability surgery. Patients who were not psychologically ready following shoulder instability surgery had worse clinical outcomes with fewer patients achieving clinically significant outcomes (PASS and MCID) for pain, and a higher risk of recurrence. LEVEL OF EVIDENCE: Level IV, Retrospective cohort study.

Results After Arthroscopic Bankart Repair in Contact Athletes Should Not Be Reported Globally Because of the High Variability in Recurrences Among the Different Contact or Collision Sports: A Systematic Review.

PURPOSE: To describe and compare the recurrence rates in contact or collision (CC) sports after arthroscopic Bankart repair (ABR) and to compare the recurrence rates in CC versus non-collision athletes after ABR. METHODS: We followed a prespecified protocol registered with PROSPERO (registration No. CRD42022299853). In January 2022, a literature search was performed using the electronic databases MEDLINE, Embase, and CENTRAL (Cochrane Central Register of Controlled Trials), as well as clinical trials records. Clinical studies (Level I-IV evidence) that evaluated recurrence after ABR in CC athletes with a minimum follow-up period of 2 years postoperatively were included. We assessed the quality of the studies using the Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) tool, and we described the range of effects using synthesis without meta-analysis and described the certainty of the evidence using GRADE (Grading of Recommendations, Assessment, Development, and Evaluations). RESULTS: We identified 35 studies, which included 2,591 athletes. The studies had heterogeneous definitions of recurrence and classifications of sports. The recurrence rates after ABR varied significantly among studies between 3% and 51% (I2 = 84.9%, 35 studies and 2,591 participants). The range was at the higher end for participants younger than 20 years (range, 11%-51%; I2 = 81.7%) compared with older participants (range, 3%-30%; I2 = 54.7%). The recurrence rates also varied by recurrence definition (I2 = 83.3%) and within and across categories of CC sports (I2 = 83.8%). CC athletes had higher recurrence rates than did non-collision athletes (7%-29% vs 0%-14%; I2 = 29.2%; 12 studies with 612 participants). Overall, the risk of bias of all the included studies was determined to be moderate. The certainty of the evidence was low owing to study design (Level III-IV evidence), study limitations, and inconsistency. CONCLUSIONS: There was high variability in the recurrence rates reported after ABR according to the different types of CC sports, ranging from 3% to 51%. Moreover, variations in recurrence among CC sports were observed, with ice hockey players being in the upper range but field hockey players being in the lower range. Finally, CC athletes showed higher recurrence rates when compared with non-collision athletes. LEVEL OF EVIDENCE: Level IV, systematic review of Level II, III, and IV studies.

Clinical Outcomes in Prospective versus Retrospective Studies on Arthroscopic Bankart Repair: A Systematic Review.

BACKGROUND: The majority of the current literature on arthroscopic Bankart repair is retrospective and discrepancies exist regarding clinical outcomes including recurrent instability and return to play amongst studies of different levels of evidence. PURPOSE: The purpose of this study is to perform a systematic review of the literature to compare the outcomes of prospective and retrospective studies on arthroscopic Bankart repair. METHODS: A search was performed using the PubMed/Medline database for all studies that reported clinical outcomes on Bankart repair for anterior shoulder instability. The search term "Bankart repair" with all results being analyzed via strict inclusion and exclusion criteria. Three independent investigators extracted data and scored each included study based on the 10 criteria of the Modified Coleman Methodology Score (CMS) out of 100. A chi-square test was performed to assess if recurrent instability, revision, return to play, and complications are independent of prospective and retrospective studies. RESULTS: One hundred ninety-three studies were included in the analysis with 53 prospective studies and 140 retrospective in design. Encompassing a total of 13,979 patients and 14,019 surgical procedures for Bankart repair for shoulder instability. The rate of re-dislocation in the prospective studies was 8.0% vs. 5.9% in retrospective (p < 0.001). The rate of recurrent subluxation in the prospective studies was 3.4% vs. 2.4% in retrospective (p = 0.004). The rate of revision was higher in retrospective studies at 4.9% vs. 3.9% in prospective studies (p = 0.013) There was no significant difference in terms of overall rate to return to play in prospective and retrospective studies was 90% and 91%, respectively (p=0.548). The overall rate of complications in the prospective cohort was 0.27% and 0.78% in the retrospective studies (p = 0.002). CONCLUSION: The overall rates of recurrent dislocations, subluxations are higher in prospective studies compared to retrospective studies. However, rates of revision were reportedly higher in retrospective studies. Complications after arthroscopic Bankart repair are rare in both prospective and retrospective studies, and there was no difference in rates of return to play.

Despite Greater Improvement in Pain and Function Among Obese Patients Shortly After Total Knee Arthroplasty, There is No Difference in Patient-Reported Outcomes and Satisfaction Between Body Mass Index Classes at 1 Year Postoperatively.

BACKGROUND: Although obesity may be associated with an increased risk of perioperative and postoperative complications after total knee arthroplasty (TKA), body mass index (BMI) cutoffs for TKA patient selection remain a controversial topic. This study aimed to investigate patient-reported outcomes, satisfaction, and pain among BMI classes at 3 months and 1 year following TKA. METHODS: A total of 2,365 patients were categorized into Centers for Disease Control BMI classes according to preoperative values. The BMI distribution over the cohort demonstrated 7 underweight, 340 healthy weight, 731 overweight, 666 Class I, 391 Class II, and 230 Class III obesity. Preoperative and postoperative Knee injury and Osteoarthritis Outcome Score for Joint Replacement (KOOS JR), satisfaction, and pain scores were compared by BMI class by Analysis of Variance with pairwise comparisons. RESULTS: Preoperative KOOS JR scores and satisfaction scores were both significantly greater for healthy weight patients compared to Class III patients (P < .0001). However, KOOS JR, satisfaction, and pain did not vary by BMI class postoperatively. Changes in scores from baseline suggest larger improvements with increasing BMI class, where Class III patients reported the greatest improvements in KOOS JR (23.24 ± 15.67, P < .0001) and pain scores (-3.56 ± 2.65, P < .0001) at 90 days. Significantly greater improvement with increasing BMI was also present at 1-year postoperatively for KOOS JR scores. A total of 85.8% of Class III patients reached the Minimal Clinically Important Difference for KOOS JR at 90 days compared to 76.8% of the healthy weight group (P = .03). Differences between BMI groups in the proportion reaching Minimal Clinically Important Difference at 1 year were not significant. CONCLUSIONS: Patients of higher BMI reported greater and earlier improvements in satisfaction, knee function, and pain following TKA. Shared decision-making remains paramount to preoperative surgical evaluation. However, rationing of this surgical intervention based on BMI alone may not be warranted.

Outpatient Total Hip Arthroplasty Volume up Nearly 8-Fold After Regulatory Changes With Expanding Demographics and Unchanging Outcomes: A 10-Year Analysis.

BACKGROUND: With the removal of total hip arthroplasty (THA) from the inpatient-only (IPO) lists, the orthopedic landscape across the United States has changed rapidly. Thus, this study aimed to: 1) characterize the change in THA volume for outpatient and inpatient surgeries; 2) elucidate demographical differences before and after removal from the IPO list; and 3) analyze 30-day complications, readmissions, and reoperations. METHODS: The National Surgical Quality Improvement Program database was queried for primary THAs between January 2010 and December 2021. The primary outcome was the annual volume of outpatient and inpatient THAs. Secondary outcomes involved 30-day complications, readmissions, and reoperations. The variables between cohorts were analyzed using goodness-of-fit Chi-square tests with summary statistics. RESULTS: Of the 332,423 THAs between 2010 and 2021, 88% were inpatient THAs (n = 292,974) and 12% were outpatient THAs (n = 39,449). From 2019 to 2021, the volume of inpatient THA decreased by 55% (42,779 to 19,075), while outpatient THA increased by 751% (2,518 to 21,424). Patients who had a THA after 2019 were older (P < .001), more commonly women (P < .001), white (P < .001), and more likely American Society of Anesthesiologists Class III (P < .001). The outpatient cohort had fewer 30-day complications, readmissions, and reoperations. The length of stay for both cohorts decreased until 2019, before increasing in 2020 and 2021 for inpatient THAs, while home discharge and operative time increased for both. CONCLUSIONS: The volume of outpatient THA increased almost eightfold after its removal from the IPO lists in 2020. Despite expanding eligibility with older patients and more comorbidities, 30-day complications, readmissions, and reoperations remain low. These findings support the safe transition to outpatient THA with appropriate patient selection and optimization.

Cannabis Use Following Total Joint Arthroplasty is Associated With Increased Risks? A Meta-Analysis.

BACKGROUND: With the increased legalization of cannabis, a new unknown emerges for orthopaedic surgeons and their patients. This systematic review aimed to (1) evaluate complications of cannabis use; (2) determine the effects of cannabis on pain and opioid consumption; and (3) evaluate healthcare utilizations associated with cannabis use among patients undergoing total joint arthroplasty (TJA). METHODS: A systematic review was performed. A search of the literature was performed in 5 databases. We included studies between January 2012 and July 2022 reporting cannabis use and complications, pain management, opioid consumption, length of stay, costs, or functional outcomes following TJA. A meta-analysis of odds ratios (ORs) and continuous variables was performed. A total of 19 articles were included in our final analysis. RESULTS: Cannabis use was associated with higher odds for deep vein thrombosis (DVT) (OR: 1.46, 95% Confidence Interval [CI]: 1.13 to 1.89) and revisions (OR: 1.47 [95% CI: 1.41 to 1.53]) in total knee arthroplasty (TKA). Cannabis use was associated with similar odds for DVT in total hip arthroplasty (THA) (OR: 1.30 [95% CI: 0.79 to 2.13]), pulmonary embolus in both TKA (OR: 1.29 [95% CI: 0.95 to 1.77]), THA (OR: 0.55 [95% CI: 0.09 to 3.28]), and cardiovascular complications in TKA (OR: 1.97 [95% Cl: 0.93 to 4.14]). Cannabis use did not alter pain scores, opioid consumption, or cost of care in THA (estimate: $2,550.51 [95% CI: $356.58 to $5,457.62]) but was associated with higher costs in TKA (estimate: $3,552.46 [95% CI: $1,729.71 to $5,375.22]). There was no difference in lengths of stay or functional outcomes; however, there may be a potentially increased risk for prosthetic complications, pneumonia, and cerebrovascular accidents among cannabis users. CONCLUSION: Cannabis use may be associated with an increased risk of DVTs, revisions, pneumonia, cerebrovascular accidents, and cardiac complications after TJA. Higher-level studies are needed to ascertain the impact of cannabis use for patients undergoing TJA.

What Are the Diagnosis-Specific Thresholds of Minimal Clinically Important Difference and Patient Acceptable Symptom State in Hip Disability and Osteoarthritis Outcome Score After Primary Total Hip Arthroplasty?

BACKGROUND: This study aimed to determine the minimal clinically important difference (MCID) and Patient Acceptable Symptom State (PASS) thresholds for Hip Disability and Osteoarthritis Outcome Score (HOOS) pain, physical short form (PS), and joint replacement (JR) 1 year after primary total hip arthroplasty stratified by preoperative diagnosis of osteoarthritis (OA) versus non-OA. METHODS: A prospective institutional cohort of 5,887 patients who underwent primary total hip arthroplasty (January 2016 to December 2018) was included. There were 4,184 patients (77.0%) who completed a one-year follow-up. Demographics, comorbidities, and baseline and one-year HOOS pain, PS, and JR scores were recorded. Patients were stratified by preoperative diagnosis: OA or non-OA. Minimal detectable change (MDC) and MCIDs were estimated using a distribution-based approach. The PASS values were estimated using an anchor-based approach, which corresponded to a response to a satisfaction question at one year post surgery. RESULTS: The MCID thresholds were slightly higher in the non-OA cohort versus OA patients. (HOOS-Pain: OA: 8.35 versus non-OA: 8.85 points; HOOS-PS: OA: 9.47 versus non-OA: 9.90 points; and HOOS-JR: OA: 7.76 versus non-OA: 8.46 points). Similarly, all MDC thresholds were consistently higher in the non-OA cohort compared to OA patients. The OA cohort exhibited similar or higher PASS thresholds compared to the non-OA cohort for HOOS-Pain (OA: ≥80.6 versus non-OA: ≥77.5 points), HOOS-PS (OA: ≥83.6 versus non-OA: ≥83.6 points), and HOOS-JR (OA: ≥76.8 versus non-OA: ≥73.5 points). A similar percentage of patients achieved MCID and PASS thresholds regardless of preoperative diagnosis. CONCLUSIONS: While MCID and MDC thresholds for all HOOS subdomains were slightly higher among non-OA than OA patients, PASS thresholds for HOOS pain and JR were slightly higher in the OA group. The absolute magnitude of the difference in these thresholds may not be sufficient to cause major clinical differences. However, these subtle differences may have a significant impact when used as indicators of operative success in a population setting.

Predictive Modeling of Medical- and Orthopaedic-Related 90-Day Readmissions Following Primary Total Hip Arthroplasty.

BACKGROUND: The rate of unplanned hospital readmissions following total hip arthroplasty (THA) varies from 3 to 10%, representing a major economic burden. However, it is unknown if specific factors are associated with different types of complications (ie, medical or orthopaedic-related) that lead to readmissions. Therefore, this study aimed to: (1) determine the overall, medical-related, and orthopaedic-related 90-day readmission rate; and (2) develop a predictive model for risk factors affecting overall, medical-related, and orthopaedic-related 90-day readmissions following THA. METHODS: A prospective cohort of primary unilateral THAs performed at a large tertiary academic center in the United States from 2016 to 2020 was included (n = 8,893 patients) using a validated institutional data collection system. Orthopaedic-related readmissions were specific complications affecting the prosthesis, joint, and surgical wound. Medical readmissions were due to any other cause requiring medical management. Multivariable logistic regression models were used to investigate associations between prespecified risk factors and 90-day readmissions, as well as medical and orthopaedic-related readmissions independently. RESULTS: Overall, the rate of 90-day readmissions was 5.6%. Medical readmissions (4.2%) were found to be more prevalent than orthopaedic-related readmissions (1.4%). The area under the curve for the 90-day readmission model was 0.71 (95% confidence interval: 0.69 to 0.74). Factors significantly associated with medical-related readmissions were advanced age, Black race, education, Charlson Comorbidity Index, surgical approach, opioid overdose risk score, and nonhome discharge. In contrast, risk factors linked to orthopaedic-related readmissions encompassed body mass index, patient-reported outcome measure phenotype, nonosteoarthritis indication, opioid overdose risk, and nonhome discharge. CONCLUSIONS: Of the overall 90-day readmissions following primary THA, 75% were due to medical-related complications. Our successful predictive model for complication-specific 90-day readmissions highlights how different risk factors may disproportionately influence medical versus orthopaedic-related readmissions, suggesting that patient-specific, tailored preventive measures could reduce postoperative readmissions in the current value-based health care setting.

Recognizing the Sex Disparity in Surgeons Performing Total Knee Arthroplasty.

BACKGROUND: There is an unambiguous sex disparity in the field of orthopaedic surgery, with women making up only 7.4% of practicing orthopaedic surgeons in 2022. This study seeks to evaluate the sex distribution among orthopaedic surgeons engaged in primary total knee arthroplasty (TKA) between 2013 and 2020, as well as the procedural volume attributed to each provider. METHODS: We retrospectively queried the Medicare dataset to quantify all physicians reporting orthopaedic surgery as their specialty and performing primary TKA from 2013 to 2020. Healthcare Common Procedure Coding System codes for primary TKA procedures were used to extract associated utilization and billing provider information. Trend analyses were performed with 2-sided correlated Mann-Kendall tests to evaluate trends in the number of surgeons by sex and the women-to-men surgeon ratio. RESULTS: During the study period, 6,198 to 7,189 surgeons billed for primary TKA. Of this number, an average of 2% were women. The mean number of procedures billed for by men was 39.02/y (standard deviation: 34.54), and by women was 28.76/y (standard deviation: 20.62) (P < .001). There was no significant trend in the number of men or women surgeons who billed for primary TKA during the study period. Trend analysis of the women-to-men ratio demonstrated an increasing trend of statistical significance (P = .0187). CONCLUSIONS: There was a significant upward trend in the women-to-men ratio of surgeons who billed for primary TKA. However, there remains a colossal gender gap, as women only made up 2.4% of surgeons who billed for the procedure. The current study raises awareness of the notable discrepancy in the average number of TKAs performed by women as compared to men. The orthopaedic community should aim to determine ways to increase the number of women arthroplasty surgeons along with the opportunities that women have to perform TKAs.

Does Your Patient Need to Lose Weight? Weight Change Before and After Total Hip Arthroplasty Does Not Affect Health Care Utilization and Achievement of the Minimal Clinically Important Difference.

BACKGROUND: Despite the potential negative impact of preoperative obesity on total hip arthroplasty (THA) outcomes, the association between preoperative and postoperative weight change and outcomes is much less understood. Therefore, this study aimed to determine the impact of preoperative and postoperative weight change and preoperative body mass index (BMI) on health care utilization, satisfaction, and achievement of minimal clinically important difference (MCID) for Hip Disability and Osteoarthritis Outcome Score Physical Function Short-Form (HOOS PS) and HOOS Pain. METHODS: Patients who underwent primary elective unilateral THA between January 2016 and December 2019 were included (N = 2,868). Multivariable logistic regression assessed the association between BMI and preoperative and postoperative weight change on outcomes while controlling for demographic characteristics. RESULTS: There was no association between preoperative weight change and prolonged length of stay (> 3 days), 90-day readmission, nonhome discharge, patient dissatisfaction at 1 year, or achievement of HOOS Pain or HOOS PS MCID. Postoperative weight loss was an independent risk factor for patient dissatisfaction at 1 year but was not associated with achievement of either HOOS Pain or HOOS PS MCID at 1-year postoperative. Preoperative obesity classes I to III were independent risk factors for nonhome discharge. Nevertheless, preoperative obesity class I and class II were associated with an increased probability of reaching HOOS Pain MCID. Preoperative BMI was not associated with an increased risk of patient dissatisfaction. CONCLUSIONS: Preoperative weight change does not appear to influence health care utilization, satisfaction, or achievement of MCID in pain and function following THA. Postoperative weight loss may play a role as a risk factor for dissatisfaction following THA. Additionally, patients who had a higher baseline BMI may be more likely to see improvement in pain following THA. Therefore, when counseling obese patients for THA, surgeons must balance the risk of perioperative complications with the expectation of greater improvements in pain.

Custom Triflange Acetabular Implants for Complex Hip Revisions: A Case Series.

Revision total hip arthroplasty (THA) presents a formidable challenge when addressing extensive acetabular defects, particularly in severe cases classified under Paprosky types 3A and 3B and American Academy of Orthopaedic Surgeons types 3 and 4. Traditional methods often fall short, prompting the potential use of custom triflange acetabular components or patient-specific acetabular implants (PSAIs). These implants are specifically designed to conform to an individual's anatomy, aiming to enhance defect reconstruction and pelvic stabilization. This case series describes the utilization of advanced 3-dimensional printing and rapid prototyping technologies to construct customized acetabular components, which can be instrumental in enabling precise preoperative planning and surgical execution for these difficult acetabular cases and potentially leading to improved surgical outcomes.

Patient satisfaction and patient-reported outcomes do not vary by BMI class in total hip arthroplasty.

PURPOSE: Obesity has been identified as a risk factor for postoperative complications in patients undergoing total hip arthroplasty (THA). This study aimed to investigate patient-reported outcomes, pain, and satisfaction as a function of body mass index (BMI) class in patients undergoing THA. METHODS: 1736 patients within a prospective observational study were categorized into BMI classes. Pre- and postoperative Hip disability and Osteoarthritis Outcome Score for Joint Replacement (HOOS JR), satisfaction, and pain scores were compared by BMI class using one-way ANOVA. RESULTS: Healthy weight patients reported the highest preoperative HOOS JR (56.66 ± 13.35) compared to 45.51 ± 14.45 in Class III subjects. Healthy weight and Class III patients reported the lowest (5.65 ± 2.01) and highest (7.06 ± 1.98, p < 0.0001) preoperative pain, respectively. Changes in HOOS JR scores from baseline suggest larger improvements with increasing BMI class, where Class III patients reported an increase of 33.7 ± 15.6 points at 90 days compared to 26.1 ± 17.1 in healthy weight individuals (p = 0.002). Fewer healthy weight patients achieved the minimal clinically important difference (87.4%) for HOOS JR compared to Class II (96.5%) and III (94.7%) obesity groups at 90 days postoperatively. Changes in satisfaction and pain scores were largest in the Class III patients. Overall, no functional outcomes varied by BMI class postoperatively. CONCLUSION: Patients of higher BMI class reported greater improvements following THA. While risk/benefit shared decision-making remains a personalized requirement of THA, this study highlights that utilization of BMI cutoff may not be warranted based on pain and functional improvement.

The Short, 5-Item Shoulder Instability-Return to Sport After Injury Score Performs as Well as the Longer Version in Predicting Psychological Readiness to Return to Sport.

PURPOSE: To reduce the length of the Shoulder Instability-Return to Sport After Injury (SIRSI) scale and determine the predictive validity of the short version compared with the original form. METHODS: This study included patients who underwent an arthroscopic Bankart repair or open Latarjet procedure between 2017 and 2019. One group was used for the SIRSI scale-reduction process, and a second group was used to test the predictive validity of the proposed short SIRSI scale. The Cronbach α value was used to evaluate internal consistency. Validity was determined by calculating the Pearson correlation coefficient with the Western Ontario Shoulder Instability Index scale. Predictive validity was assessed using receiver operating characteristic (ROC) curve statistics. RESULTS: A total of 158 patients participated in the scale-reduction process, and 137 patients participated in the predictive-validation process. The SIRSI scale was successfully reduced to a 5-item scale constructed by 1 underlying factor accounting for 60% of the variance. The short version showed good internal consistency (Cronbach α = 0.82) and was highly correlated with the Western Ontario Shoulder Instability Index scale and the long version. The short SIRSI scores were significantly different between patients who returned to sports and those who did not. The SIRSI scale had excellent predictive ability for return-to-sport outcomes (area under ROC curve of 0.84 for short version [95% confidence interval, 0.7-0.9] and 0.83 for long version [95% confidence interval, 0.7-0.9]). CONCLUSIONS: A valid 5-item, short version of the SIRSI scale was successfully developed in our patient population. The short version was found to be as robust as the long scale for discriminating and predicting return-to-sport outcomes. LEVEL OF EVIDENCE: Level II, prospective cohort study.

Classic Versus Congruent-Arc Latarjet Procedures.

Glenohumeral instability remains a frequent pathology, specifically in athletes and active patients. As such, several treatment options have been described. In the setting of significant glenoid bone loss (i.e., >20%), off-track Hill-Sachs lesions, and failed previous soft-tissue-based repairs, glenoid bone-augmentation techniques must be considered. These techniques restore stability by a triple blocking effect of the bony graft, the capsulolabral complex repair, and the dynamic sling effect of the conjoined tendon. The classic Latarjet procedure consists in performing a coracoid osteotomy along with the conjoined tendon attachment followed by transfer and fixation to the anterior glenoid, positioning the lateral surface of the coracoid to be flush with the articular side. Then, a modification of this technique defined as "congruent-arc Latarjet" (CAL) was described. This approach involves rotating the coracoid process 90° along its longitudinal axis using the inferior surface to recreate the native glenoid arc. Biomechanical studies have discussed advantages and disadvantages of these techniques. The CAL allows a greater glenoid surface area, which may be relevant in patients with increased glenoid bone loss. However, the bone contact area is reduced, which increases the technical difficulty of screw positioning with an increased risk of graft fragmentation. The classic Latarjet technique has a greater initial fixation strength between the graft and the glenoid and a greater potential for bone consolidation due to the broader contact bone area. Excellent clinical and sports outcomes with low recurrence rates have been observed in both techniques. Imaging findings have exhibited high bone block healing and no difference in graft placement, but CAL demonstrated a greater incidence of fibrous or nonunion rates and errors in screw fixation. Finally, while similar early complications have been reported, long-term outcomes are still needed in CAL for comparing osteoarthritis progression. These results emphasize that either technique can be considered to manage glenohumeral instability when appropriately indicated.

Similar Clinical, Return to Sports, Recurrence, and Revision Outcomes Between Female and Male Athletes Following Arthroscopic Bankart Repair.

PURPOSE: To compare return to sports, functional outcomes, and recurrences rates between female and male athletes following arthroscopic Bankart repair (ABR). METHODS: A retrospective comparative study was performed between male and female athletes who underwent an ABR between January 2008 and December 2019. Sports practiced primarily by men in our practice (including rugby, soccer, boxing, and martial arts) were excluded. Functional outcomes included the Rowe score, visual analog scale (VAS) for pain, and shoulder-dependent sports ability measured with the Athletic Shoulder Outcome Scoring System (ASOSS). Return to sport, recurrence, and revisions were evaluated. Additionally, we assessed the period (months) between surgery and recurrence events. RESULTS: A total of 58 female and 106 male patients were available for analysis at a median follow-up of 60 (interquartile range [IQR], 36-84) months. Ninety-one percent of the patients (n = 150) returned to sports and 84% (n = 126) returned to their preinjury level at a median of 6 months (IQR, 5-8) postoperatively. There were no differences in the rate of return to sports between females and males (91 vs 92% respectively, P = .997). There were no differences between the groups regarding postoperative functional outcomes, with most patients achieving the minimal clinically significant difference (Rowe: 98% female and 99% male, P = .584; ASOSS: 100% female and 99% male, P = .646). The overall recurrence rate was 9.7% (n = 16), with a rate of 10.3% (n = 6) in female and 9.4% (n = 10) in male athletes (P = .851). Time to event analysis showed that the median time to recurrence was 48 months in both groups (P = .848). The overall revision rate was 3% (n = 4), without significant differences between groups (P = .556). CONCLUSIONS: When compared within similar sports, there does not appear to be sex-related differences in functional outcomes, recurrence, or return to play following ABR. LEVEL OF EVIDENCE: III, retrospective comparative study.

Challenging the Status Quo: Debunking the Necessity of 5-Year to 10-Year Patient-Reported Outcome Measures in Total Hip and Knee Arthroplasties.

BACKGROUND: In the current shift toward value-based healthcare, patient-reported outcome measures (PROMs) have become essential to assess the effectiveness of medical interventions. However, elucidation of the optimal timeframe for PROMs evaluation remains crucial. This study aimed to (1) determine the proportion of patients who experienced clinically meaningful improvements in PROMs scores at each follow-up visit after total hip arthroplasty (THA) and total knee arthroplasty (TKA) and (2) calculate and apply the clinical relevance ratio (CRR) for these long-term PROM collections postoperatively. METHODS: A total of 12 independent studies reporting THA (n = 8 studies) and TKA (n = 4 studies) postoperative PROM data with up to 10 years of follow-up in Europe or the United States were aggregated. A distribution-based minimal clinically important difference threshold and CRR were used to determine which patients had clinically meaningful improvements in PROMs at 1, 5, and 10 years. RESULTS: The proportion of patients who had clinically meaningful improvements in PROM scores stabilized after 1 year following both THA and TKA. Overall, the CRR decreased over time for all PROMs, with the CRR beginning to decrease at 1-year follow-up, bringing into question the robustness and clinical relevance of long-term PROMs data. CONCLUSIONS: The present study challenges the utility of requiring PROMs with a minimum follow-up of 2 years for THA and TKA. Research efforts should be focused on registries evaluating implant survivorship at longer-term follow-up, while PROMs should be better assessed up to 1-year follow-up. Reconsidering the long-term PROMs assessment would lead to more efficient and cost-effective research in orthopedic outcomes, without compromising data quality.

What Drives the Material Costs of Total Knee Arthroplasty in the Operating Room?

INTRODUCTION: Approximately one-third of US healthcare spending is related to surgical care. Optimizing operating room (OR) spending is crucial, specifically for high-volume procedures like total knee arthroplasty (TKA). Therefore, the primary objective was to identify leading material drivers of cost for TKA procedures within the OR. MATERIALS AND METHODS: Patients who underwent a primary, elective TKA from 2018 to 2019 were included (n=8,672). Intraoperative cost details for each TKA patient were captured from the Vizient Clinical Database Resource Manager (CDB/RM) data. Each cost type was categorized into (1) implant, (2) disposables, (3) wound care, and (4) miscellaneous. RESULTS: 7,124 patients undergoing primary TKA were included. Implant-related costs accounted for 87.3% of cost, disposable materials covered 10.7%, and wound care products took 2%. The leading subcategories of implant costs were primary prosthetics (85.1%), revision prosthetics (9.9%), cement (2.8%), and implant instruments (1.7%). Within disposables, surgical products accounted for 81.3% of the cost, patient care products for 8.9%, medical apparel for 7.9%, and electrolytes for 1.8%. For an average individual TKA procedure, 86.4% (±4.4) of total cost went towards the implant, 10.7% (±3.4) towards disposable materials, and 1.6% (±1.4) to wound care products. Within the implant category, 92.5% (± 12.8) of costs were associated with primary implants, 13.3% (± 6.9) with instruments, and 2.5% (± 2.8) with cement. CONCLUSIONS: The primary operative material expense category was costs associated with the TKA prosthesis and its fixation followed by disposable materials. A large amount of variation exists in the percent of the total cost for a given TKA procedure that can be attributed to each category.