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 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 Shoulder Instability-Return to Sports After Injury (SIRSI) scale (≥55 points) measured at 6 months following surgery. Recurrences were measured and functional outcomes were evaluated by the visual analog scale (VAS), Rowe, and Athletic Shoulder Outcome Scoring System. The minimal clinically important difference (MCID) for the VAS and Rowe scores was calculated using the distribution-based method of a half 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 curve were used. RESULTS: A total of 108 who achieved psychological readiness (PSR) and 41 who did not achieve PSR met the study criteria. PSR achieved significantly higher percentages of MCID and PASS thresholds for VAS than non-PSR (MCID: 68.5% vs 48.7%, P = .026; PASS: 92.5% vs 58.5%, P < .001). However, there were no differences in the percentage of patients achieving MCID for the Rowe score between groups (98.1% vs 100%, P = .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% confidence interval, 0.5-0.8). Of those who sustained a recurrence, 20% were not psychologically ready compared to 4.3% who were (P = .002). A power analysis was not conducted for this study. CONCLUSIONS: 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.

High Variability in Standardized Outcome Thresholds of Clinically Important Changes in Shoulder Instability Surgery: A Systematic Review.

PURPOSE: To examine reported minimal clinically important difference (MCID) and patient-acceptable satisfactory state (PASS) values for patient-reported outcome measures (PROMs) after shoulder instability surgery and assess variability in published values depending on the surgery performed. Our secondary aims were to describe the methods used to derive MCID and PASS values in the published literature, including anchor-based, distribution-based, or other approaches, and to assess the frequency of MCID and PASS use in studies on shoulder instability surgery. METHODS: A systematic review of MCID and PASS values after Bankart, Latarjet, and Remplissage procedures was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The Embase, PubMed, and Cochrane Central Register of Controlled Trials (CENTRAL) databases were queried from 1985 to 2023. Inclusion criteria included studies written in English and studies reporting use of MCID or PASS for patient-reported outcome measures (PROMS) after Latarjet, Bankart, and Remplissage approaches for shoulder instability surgery. Extracted data included study population characteristics, intervention characteristics, and outcomes of interest. Continuous data were described using medians and ranges. Categorical variables, including PROMs and MCID/PASS methods, were described using percentages. Because MCID is a patient-level rather than a group-level metric, the authors confirmed that all included studies reported proportions (%) of subjects who met or exceeded the MCID. RESULTS: A total of 174 records were screened, and 8 studies were included in this review. MCID was the most widely used outcome threshold and was reported in all 8 studies, with only 2 studies reporting both the MCID and the PASS. The most widely studied PROMs were the American Shoulder and Elbow Surgeons (range 5.65-9.6 for distribution MCID, 8.5 anchor MCID, 86 anchor PASS); Single Assessment Numeric Evaluation (range 11.4-12.4 distribution MCID, 82.5-87.5 anchor PASS); visual analog scale (VAS) (range 1.1-1.7 distribution MCID, 1.5-2.5 PASS); Western Ontario Shoulder Instability Index (range 60.7-254.9 distribution MCID, 126.43 anchor MCID, 571-619.5 anchor PASS); and Rowe scores (range 5.6-8.4 distribution MCID, 9.7 anchor MCID). Notably, no studies reported on substantial clinical benefit or maximal outcome improvement. CONCLUSIONS: Despite the wide array of available PROMs for assessing shoulder instability surgery outcomes, the availability of clinically significant outcome thresholds such as MCID and PASS remains relatively limited. Although MCID has been the most frequently reported metric, there is considerable interstudy variability observed in their values. CLINICAL RELEVANCE: Knowing the outcome thresholds such as MCID and PASS of the PROMs frequently used to evaluate the results of glenohumeral stabilization surgery is fundamental because they allow us to know what is a clinically significant improvement for the patient.

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 among 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" was used, 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 out of 100. A χ2 test was performed to assess if recurrent instability, revision, return to play, and complications are independent of prospective and retrospective studies. RESULTS: A total of 193 studies were included in the analysis, with 53 prospective studies and 140 retrospective in design. These studies encompassed a total of 13,979 patients and 14,019 surgical procedures for Bankart repair for shoulder instability. The rate of redislocation in the prospective studies was 8.0% vs. 5.9% in retrospective studies (P < .001). The rate of recurrent subluxation in the prospective studies was 3.4% vs. 2.4% in retrospective studies (P = .004). The rate of revision was higher in retrospective studies at 4.9% vs. 3.9% in prospective studies (P = .013). There was no significant difference in terms of overall rate to return to play between prospective and retrospective studies (90% and 91%, respectively; P = .548). The overall rate of non-instability complications in the prospective cohort was 0.27% vs. 0.78% in the retrospective studies (P = .002). CONCLUSIONS: The overall rates of recurrent dislocations-subluxations are higher in prospective studies than 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.

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

BACKGROUND: As the demand for total knee arthroplasty (TKA) escalates, 90-day readmissions have emerged as a pressing clinical and economic concern for the current value-based health care system. Consequently, health care providers have focused on estimating the risk levels of readmitted patients; 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 TKA. METHODS: A prospective cohort of primary unilateral TKAs performed at a large tertiary academic center in the United States from 2016 to 2020 was included (n = 10,521 patients). Unplanned readmissions were reviewed individually to determine their primary cause, either medical or orthopaedic-related. Orthopaedic-related readmissions were specific complications affecting the joint, prosthesis, or 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 6.7% (n = 704). Over 82% of these readmissions were due to medical-related causes (n = 580), with the remaining 18% being orthopaedic-related (n = 124) readmissions. The area under the curve for the 90-day readmission model was 0.68 (95% confidence interval: 0.67 to 0.70). Sex, smoking, length of stay, and discharge disposition were associated with orthopaedic readmission, while age, sex, race, the Charlson Comorbidity Index, insurance, surgery day, opioid overdose risk score, length of stay, and discharge disposition were associated with medical-related 90-day readmissions. CONCLUSIONS: Medical-related readmissions after TKA are more prevalent than orthopaedic-related readmissions. Through successfully constructing and validating multiple 90-day readmission predictive models, we highlight the distinct risk profiles for medical and orthopaedic-related readmissions. This emphasizes the necessity for nuanced, patient-specific risk stratification and preventive measures.

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.

Neighborhood Socioeconomic Disadvantage May Influence 1-Year Patient-Reported Outcome Measures After Total Hip Arthroplasty.

BACKGROUND: The impact of socioeconomic status on achievement of clinically relevant patient-reported outcome measure (PROM) improvements and satisfaction after total hip arthroplasty (THA) is unknown. Area Deprivation Index (ADI) is a metric that can be used as a proxy for a patient's neighborhood socioeconomic status. This study aimed to assess the association between ADI and failure to achieve (1) clinically relevant improvements in PROMs and (2) self-reported satisfaction at 1-year following THA. METHODS: A prospective cohort of 7,506 patients who underwent primary unilateral THA from January 2016 to July 2021 was included. The ADI was stratified into quintiles based on their distribution in our sample. Multivariable logistic regression models were created to investigate the effect of ADI on 1-year PROMs. The included PROMs were the Hip Disability and Osteoarthritis Outcome Score (HOOS) Pain, Physical Function Shortform (PS), and Joint Replacement (JR). Clinically relevant improvements were assessed through minimal clinically important difference (MCID) and Patient Acceptable Symptom State (PASS) threshold achievement. RESULTS: There was no significant association between ADI and failure to achieve MCID for HOOS pain (P = 0.42), PS (P = 0.91), or JR (P = 0.20). However, higher ADI scores were independently associated with increased odds of failing to achieve PASS for HOOS Pain (P = 0.002), PS (P = 0.003), and JR (P = 0.017). The ADI was not associated with failure to achieve patient satisfaction at 1 year (P = 0.93). CONCLUSION: Greater neighborhood socioeconomic disadvantage was associated with decreased odds of achieving clinically relevant improvement in patient-perceived symptomatic state, but not associated with patients' perception of their overall pain and function 1 year after THA. Targeted interventions to address access and care pathways for low socioeconomic status patients may present an opportunity to improve patient-perceived outcomes following THA.

Preoperative Osteoporosis Is Associated with Increased Healthcare Utilization and Compromised Pain and Function Improvement after Primary Total Hip Arthroplasty: A Prospective Cohort Analysis.

BACKGROUND: Osteoporosis (OP) has been linked to complications after total hip arthroplasty (THA), but its impact on healthcare utilization and patient-reported outcomes remains unclear. This study aimed to evaluate the association between: 1) pre-THA OP and healthcare utilization as well as patient-reported pain and function outcome measures; and 2) Dual Energy X-ray Absorptiometry (DEXA) scan-based T-scores and the aforementioned outcomes. METHODS: A retrospective analysis of prospectively collected data of primary THA (2015 to 2018) was performed (n = 5,321) from a validated academic institutional database of a large North American tertiary health care system; of which 4,074 (76.6%) completed one-year follow-up. Outcomes included prolonged length of stay [LOS] > 3 days, discharge disposition, 90-day readmission, and one-year reoperation, as well as Hip Disability and Osteoarthritis Outcome Score (HOOS]) Pain, HOOS-function (PS), and minimal clinically important difference thresholds (MCID), and satisfaction. RESULTS: The prevalence of OP pre-THA was 56.9%, of which 39.8% were not prescribed OP medications and 15.3% had a DEXA scan. Compared to those who did not have OP, those who had OP were independently associated with higher odds of prolonged LOS, non-home discharge, 90-day readmission, and 1-year reoperation (P < 0.005). Furthermore, they had significantly higher odds of failing to achieve MCID (odds ratio (OR): 1.41 (95% confidence interval (CI): 1.06 to 1.89)) for HOOS-PS and satisfaction (OR: 1.5 (95% CI: 1.16 to 1.93)) at 1-year. Higher T-scores were associated with lower odds of prolonged LOS, non-home discharge, failure to achieve MCID in HOOS-Pain, and HOOS-PS. CONCLUSION: Over half of patients had OP, however, only 15.3% of patients had a DEXA scan prior to THA. Patients who had OP were at higher risk of prolonged LOS, non-home discharge, 90-day readmission, and one-year reoperation in addition to poor pain/function improvement and dissatisfaction one year after THA.

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.

Do Patients With Hypoallergenic Total Knee Arthroplasty Implants for Metal Allergy Do Worse? An Analysis of Health Care Utilizations and Patient-Reported Outcome Measures.

BACKGROUND: Metal allergy is a rare and controversial cause of implant failure and poor outcomes following total knee arthroplasty (TKA). Few studies have investigated clinical and patient-reported outcome measures (PROMs) in patients treated with hypoallergenic implants. This investigation aimed to compare: (1) health care utilizations (eg, hospital length of stay, 90-day readmission rate, and incidence of nonhome discharge) and (2) 1-year PROMs between patients who received hypoallergenic and standard TKA implants. METHODS: This was a retrospective review of prospectively collected data from patients who underwent primary TKA between 2018 and 2019. Propensity score matching (3:1) was used to compare standard TKA patients with those who received hypoallergenic TKA implants, respectively. Knee injury and Osteoarthritis Outcome Score (KOOS) pain, KOOS Physical function Shortform (PS), and Veterans RAND 12-Item Health Survey Mental Component Score were collected preoperatively and at 1-year. After matching, 190 hypoallergenic and 570 standard TKAs were analyzed. RESULTS: No differences were observed in length of stay (P = .98), 90-day readmission (P = .89), and nonhome discharge (P = .82). Additionally, there was no significant difference in change from preoperative to 1-year PROMs (KOOS pain, P = .97; KOOS PS, P = .88; Veterans RAND 12-Item Health Survey Mental Component Score, P = .28). Patient-reported satisfaction was similar at 1-year (P = .23). Patients achieved similar rates of Patient Acceptable Symptom State (PASS) and minimal clinically important difference (MCID) for KOOS pain (PASS, P = .77; MCID, P = .33) and KOOS PS (PASS, P = .44; MCID, P = .65). CONCLUSION: Patients treated with hypoallergenic TKA implants for suspected metal allergy had similar outcomes compared to patients who had standard implants and no metal allergy.

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.

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.

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.

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.

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.

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.