Journal of Arthroplasty最新文献

Background: Utilization of and access to total joint arthroplasty (TJA) are disproportionately skewed in patients who have low socioeconomic status (SES) and in minority populations. Patient-reported outcome measures (PROMs) are critical markers of post-surgical outcomes following TJA. This study aimed to 1) evaluate differences in race, SES, and demographic factors between TJA patients who achieved substantial clinical benefit (SCB) and those who did not; 2) assess differences between preoperative PROMs in these patients; and 3) identify whether race and SES are associated with SCB achievement at 1-year post-TJA.

Methods: This retrospective cohort study included 1,154 total hip arthroplasty (THA) and 1,879 total knee arthroplasty (TKA) patients who underwent surgery at a single academic medical center from May 2019 to February 2023. Preoperative and postoperative PROMs were collected using the Knee Injury and Osteoarthritis Outcome Score (KOOS JR) and Hip Disability and Osteoarthritis Outcome Score (HOOS JR) surveys. Demographic and comorbidity data were collected from charts. Multivariable logistic regression analyzed the association between predictive variables and SCB achievement.

Results: No differences in race were found between patients who achieved SCB and those who did not for both TKA and THA (P > 0.05). However, preoperative KOOS JR scores were lower in Black (P = 0.004) and Hispanic (P < 0.001) patients and preoperative HOOS JR scores were lower in Black patients (P < 0.001) compared to White patients. A higher proportion of patients in the lowest income category achieved SCB for both THA and TKA compared to those in other income categories (P = 0.04, P = 0.03, respectively). However, race was not associated with SCB likelihood at one year. For TKA patients, men were negative, and bilateral simultaneous TKA was positively associated with SCB achievement when controlling for race, income, and BMI (P < 0.001, P = 0.01, respectively).

Conclusion: Race and income category were not significantly associated with achieving SCB at one year among TJA patients. However, non-White patients had a similar likelihood of achieving SCB as White patients, even with lower preoperative PROMs, indicating that these patients may benefit greatly from TJA despite delays in care. Men were negatively associated with TKA SCB achievement, while bilateral simultaneous TKA was positively associated with SCB.

Background: We present an automated image ingestion pipeline for a knee radiography registry, integrating a multilabel image-semantic classifier with conformal prediction-based uncertainty quantification and an object detection model for knee hardware.

Methods: Annotators retrospectively classified 26,000 knee images detailing presence, laterality, prostheses, and radiographic views. They further annotated surgical construct locations in 11,841 knee radiographs. An uncertainty-aware multilabel EfficientNet-based classifier was trained to identify the knee laterality, implants, and radiographic view. A classifier trained with embeddings from the EfficientNet model detected out-of-domain images. An object detection model was trained to identify 20 different knee implants. Model performance was assessed against a held-out internal and an external dataset using per-class F1 score, accuracy, sensitivity, and specificity. Conformal prediction was evaluated with marginal coverage and efficiency.

Results: Classification Model with Conformal Prediction: F1 scores for each label output > 0.98. Coverage of each label output was >0.99 and the average efficiency was 0.97.

Domain detection model: The F1 score was 0.99, with precision and recall for knee radiographs of 0.99.

Object detection model: Mean average precision across all classes was 0.945 and ranged from 0.695 to 1.000. Average precision and recall across all classes were 0.950 and 0.886.

Conclusions: We present a multilabel classifier with domain detection and an object detection model to characterize knee radiographs. Conformal prediction enhances transparency in cases when the model is uncertain.

Introduction: Accurate operative scheduling is essential for the appropriation of operating room (OR) resources. We sought to implement a machine learning (ML) model to predict primary total hip (THA) and total knee arthroplasty (TKA) case time.

Methods: A total of 10,590 THAs and 12,179 TKAs between July 2017 and December 2022 were retrospectively identified. Cases were chronologically divided into training, validation, and test sets. The test set cohort included 1,588 TKAs and 1,204 THAs. There were four machine learning algorithms developed: linear ridge regression (LR), random forest (RF), XGBoost (XGB), and explainable boosting machine (EBM). Each model's case time estimate was compared to the scheduled estimate measured in 15-minute "wait" time blocks ("underbooking") and "excess" time blocks ("overbooking"). Surgical case time was recorded, and SHAP (Shapley Additive exPlanations) values were assigned to patient characteristics, surgical information, and the patient's medical condition to understand feature importance.

Results: The most predictive model input was "median previous 30 procedure case times." The XGBoost model outperformed the other models in predicting both TKA and THA case times. The model reduced TKA 'excess time blocks' by 85 blocks (P < 0.001) and 'wait time blocks' by 96 blocks (P < 0.001). The model did not significantly reduce 'excess time blocks' in THA (P = 0.89) but did significantly reduce 'wait time blocks' by 134 blocks (P < 0.001). In total, the model improved TKA operative booking by 181 blocks (2,715 minutes) and THA operative booking by 138 blocks (2,070 minutes).

Conclusions: Machine learning outperformed a traditional method of scheduling total joint arthroplasty (TJA) cases. The median time of the prior 30 surgical cases was the most influential on scheduling case time accuracy. As ML models improve, surgeons should consider machine learning utilization in case scheduling; however, prior 30 surgical cases may serve as an adequate alternative.

Background: The delta difference between baseline patient-reported outcome measure scores (PROMS) and postoperative scores is used to measure success following primary total hip arthroplasty (THA). However, statistical improvement is not necessarily equal to clinical benefit. The percentage of the maximal improvement (MOI) is a psychometric tool to determine clinical improvement. This study aimed to determine thresholds for the MOI for the Forgotten Joint Score (FJS), the Harris Hip Score (HHS), and the Visual Analog Scale for Pain (VAS) following THA for osteoarthritis.

Methods: Data were retrospectively reviewed for all patients who underwent primary THA for hip osteoarthritis between October 2014 and July 2020. Patients who answered an anchor question for satisfaction and had baseline and minimum two-year follow-up scores were included. Receiver operating characteristic curve analyses were performed to determine the MOI thresholds with the area under the curve (AUC).

Results: In total, 584 patients were included, 53.1% women and 46.9% men, who had a mean age of 57 years (± 10.4). Improvement was reported for all PROMS (P < 0.0001). The AUC values for MOI for the FJS, HHS, and VAS were 0.788, 0.839, and 0.805, respectively. The MOI for the FJS, the HHS, and the VAS were 54.2, 65, and 67.1%, respectively.

Conclusion: Following primary THA for hip osteoarthritis, percentage thresholds for achieving the MOI for the FJS, the HHS, and the VAS for pain were 54.2, 65, and 67.1%, respectively. No preoperative predictors of achieving the MOI were identified.

Introduction: The Area Deprivation Index (ADI) is a weighted index comprised of 17 census-based markers of material deprivation and poverty. The purpose of this study was to determine whether patients undergoing total hip arthroplasty (THA) in areas of high ADI (greater disadvantage) were associated with differences in 90-day: 1) medical complications; 2) emergency department (ED) utilizations; and 3) readmissions.

Methods: A nationwide database was queried for primary THA patients from 2010 to 2020. The ADI is reported on a scale of 0 to 100, with higher numbers indicating greater disadvantage. Patients undergoing primary THA in regions associated with high ADI (90%+) were compared to those of lower ADI (0 to 89%). A total of 138,670 patients were evenly matched between the two cohorts following 1:1 propensity score matching by age, sex, and Elixhauser Comorbidity Index (ECI). Primary endpoints were 90-day medical complications, ED utilizations, and readmissions. Multivariable logistic regression models calculated the odds ratios (OR) and 95% confidence intervals (95% CI). P-values less than 0.01 were statistically significant.

Results: Patients undergoing THA from high ADI had significantly higher rates and odds of developing any medical complications (13.00 versus 11.91%; OR: 1.09, P < 0.0001), including acute kidney injuries (1.83 versus 1.52%; OR: 1.20, P < 0.0001), myocardial infarctions (0.35 versus 0.24%; OR: 1.45, P = 0.0003), and surgical site infections (0.94 versus 0.76%; OR: 1.23, P = 0.0004). High ADI patients had significantly higher rates and odds of ED visits within 90 days (3.94 versus 3.67%; OR: 1.08, P = 0.008). There was no significant difference in readmissions (5.44 versus 5.69%; OR: 0.95, P = 0.034).

Conclusions: Socioeconomically disadvantaged patients have increased odds of 90-day medical complications and ED utilizations, despite comparable 90-day readmission rates. Measures of neighborhood disadvantage may be valuable metrics to inform healthcare policy and improve post-discharge care.

Background: Socioeconomic status (SES)-an individual or group's social standing or class, as measured by education, income, and occupation-has been associated with poor surgical outcomes in orthopaedics. Total knee (TKA) and total hip (THA) arthroplasties are the most commonly investigated orthopaedic surgeries regarding SES and patient-reported outcome measures (PROMs), yet the results are contradictory. The aim of this systematic review was to assess the impact of SES on PROMs following total joint arthroplasty (TJA).

Methods: We performed a literature search following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines utilizing MEDLINE (Ovid), EMBASE (Ovid), and Cochrane Library from database inception (1971, 1974, and 1996, respectively) to August 2, 2023, to identify studies investigating SES and PROMs in adults undergoing primary elective TJA. Studies were included if they evaluated one of three SES variables (income, education, or employment status) and reported at least one-year scores using a validated PROM. There were two reviewers who independently screened studies and extracted data.

Results: There were 16 studies included in this systematic review. A total of 55,875 arthroplasties, including 24,055 TKAs and 31,820 THAs, were analyzed. Of the studies, eight evaluated income, 15 evaluated education, and two evaluated employment status. The majority of studies investigating income found a statistically significant association between lower income and worse postoperative PROMs. There were ten studies, involving 90% of all patients from the included education studies, that found a statistically significant association between education and postoperative PROMs. There were two studies that found unemployed THA patients had lower improvements in PROMs compared to employed and retired patients.

Conclusion: Our systematic review found several significant associations between income, education, employment, and PROMs after TJA. Providers should pay special attention to lower-income, less educated, and unemployed patients. These patients may benefit from targeted interventions to achieve substantial clinical benefit after TJA.

Introduction: Periarticular injections (PAIs) have become a critical part of multimodal anesthetic regimens for total knee arthroplasty (TKA). This study assessed the effect of adductor canal blocks (ACBs) alone, periarticular injections (PAIs) alone, and the combination of both ACBs and PAIs on postoperative pain management in patients undergoing primary TKA. We hypothesized that there would be no significant difference in postoperative outcomes, including pain scores and narcotic use.

Methods: Patients who underwent primary TKA were retrospectively identified from February 2022 to February 2023. Patients were stratified based on perioperative local/regional anesthetic regimen (PAI only, PAI with an ACB, and ACB only) and matched in a 1:1:1 ratio. Patients were propensity score matched based on age, American Society of Anesthesiologists (ASA) score, body mass index (BMI), and preoperative narcotic usage. Patient demographics, as well as intra- and postoperative variables including narcotic refills, postoperative morphine requirements, pain scores, and readmissions, were compared. After successful matching, there were 40 patients in each cohort.

Results: First post-anesthesia care unit (PACU) visual analog pain scale (VAS) scores after surgery were not significantly different across all groups (P = 0.082). Pair-wise comparisons of patients receiving either PAI alone or ACB alone showed that patients receiving PAIs had lower narcotic usage at six hours (P = 0.037). A PAI alone also demonstrated a shorter length of stay compared to ACB alone (P = 0.001). Postoperative narcotics refills were similar between ACB only and PAI only (P = 0.056); however, PAI with an ACB had lower postoperative narcotic refills (P = 0.017). The rate of same-day physical therapy (PT) clearance was lowest in the ACB only group (37.5% [15 of 40]) (P = 0.002).

Conclusion: As hypothesized, there was no difference in pain scores immediately after surgery; however, postoperative morphine requirements at six hours, same-day physical therapy clearance, and length of stay were better in the PAI group. The use of PAIs may confer a benefit for both patients and healthcare systems as an adjunct to perioperative pain control.

Background: Despite the prevalence of total hip arthroplasty (THA) as a treatment for hip-related conditions, there is limited research directly comparing the patient-reported outcome measures (PROMs) between primary and revision THA. This study compared the time to achieve minimal clinically important difference (MCID) between primary and revision THA.

Methods: We conducted a retrospective analysis comparing 6,671 THAs (6,070 primary and 601 all-cause revision THAs) performed between 2016 and 2022. Patient-reported outcomes were evaluated using preoperative and postoperative scores of Patient-Reported Outcomes Measurement Information System (PROMIS) Global Physical, PROMIS Physical Function-10a (PF-10a), and Hip Injury and Osteoarthritis Outcome Score-Physical Function Short-form (HOOS-PS). The time to achieve MCID was assessed using survival curves with and without interval-censoring, and statistical comparisons were performed using log-rank and weighted log-rank tests.

Results: Comparing the time to achieve MCID without interval-censoring, primary THA demonstrated significantly faster median times than revision THA for PROMIS Global Physical (3.3 versus 3.9 months, P < 0.001), PROMIS PF-10a (3.6 versus 6.2 months, P < 0.001), and HOOS-PS (3.1 versus 4.0 months, P < 0.001). Similarly, when using interval-censoring, primary THA continued to achieve MCID significantly faster than revision THA for PROMIS Global Physical (0.23 to 0.24 versus 0.50 to 0.51 months, P < 0.001), PROMIS PF-10a (1.43 to 1.44 versus 3.03 to 3.04 months, P < 0.001), and HOOS-PS (0.87 to 0.87 versus 1.20 to 1.21 months, P < 0.001).

Conclusion: Across all PROMs, primary THA achieved MCID significantly faster than revision THA, irrespective of interval-censoring. These findings underscore the importance of setting realistic postoperative recovery expectations during perioperative patient counseling. Future studies should investigate the factors influencing time to achieve MCID and explore how to enhance revision THA techniques and perioperative management for improved patient outcomes.

Background: The purpose of this study was to determine the safety and the clinical outcome of simultaneous bilateral, staggered bilateral, and staged bilateral total knee arthroplasty (TKA) performed by a single surgeon at one academic institute.

Methods: We prospectively followed and retrospectively compared the results of 7,155 patients (14,310 knees) who had simultaneous bilateral TKA, 6,671 patients (13,342 knees) who had staggered bilateral TKA, and 4,501 patients (9,002 knees) who had staged bilateral TKA. The mean age of the patients was 67, 65, and 69 years, respectively. The mean follow-up was 15.5, 15.3, and 16.1 years, respectively. The prevalence of mortality and complications were assessed in each group. In addition, patients was assessed clinically and radiographically at each follow-up.

Results: The mortality rate (14 patients, 0.2%) of the patients who underwent simultaneous bilateral TKA was similar to those who underwent staggered bilateral TKA (19 patients, 0.3%) and those who underwent staged bilateral TKA (18 patients, 0.4%) (P > 0.05). The major complication (except death) rate (0.8, 0.5, and 0.4%, respectively) and the minor complication rate (20.7, 19, and 19.6%, respectively) were not significantly different among the three groups (P > 0.05). There was no significant difference in the clinical outcomes, radiographic results, revision rate, or survivorship of TKA implants among the three groups (P > 0.05). Transfusion requirements were different among the three groups (10% in the simultaneous bilateral TKA group, 12% in the staggered bilateral TKA group, and 2% in the staged bilateral TKA group).

Conclusions: We found no significant differences among the simultaneous bilateral, staggered bilateral, and staged bilateral TKA groups, with regard to the mortality, major complication, minor complication, and revision rates; the survival of TKA implants; and clinical and radiographic results after a mean follow-up of 15.5, 15.3, and 16.1 years, respectively.