Optimizing Total Hip and Knee Arthroplasty Among an Underserved Population: Lessons Learned From a Quality-Improvement Initiative.

Background: Under-represented minorities and those with noncommercial insurance have higher medical comorbidities and complications following elective total joint arthroplasty (TJA). In an effort to bridge this gap, our center implemented a preoperative optimization protocol for TJA in a Medicaid Clinic (Clinic). The purpose of this study is to assess the effectiveness of that protocol and highlight challenges associated with caring for this patient population. Methods: This retrospective analysis included 117 patients undergoing TJA between January 2015 and January 2020. In 2015, the protocol was implemented as a mandatory practice prior to TJA. A contemporary control cohort from the private office was also analyzed. Patient demographics, American Society of Anesthesiologists score, and postoperative complications were collected. Results: Within the clinic group, 52.5% (62) patients identified as Hispanic with 46.6% (55) Spanish-speaking as primary language, compared to 9.3% (11) and 8.5% (10) in the office group (P = .0001), respectively. Clinic group patients were significantly more likely to experience a complication compared to office patients (20 vs 7, respectively). There was no difference in complication or reoperation rate between clinic patients who underwent the optimization protocol and those who did not. Conclusions: The findings from this study highlight the demographic and comorbidities profile of an underserved population, and report on results of a quality improvement initiative among that population, which failed to improve postoperative outcomes. These results underscore the need for further study in this population to improve outcomes and health equity.

Race and ethnic disparities arthroplasty trends and hotspots: Bibliometric analysis.

Introduction: Despite continual advancements in total joint arthroplasty and perioperative optimization, there remains national variability in outcomes. These outcome variabilities have been in part attributed to racial and ethnic disparities in healthcare quality and access to care. This study aims to identify arthroplasty racial and ethnic disparities research and to predict future hotspots. Methods: Ethnic and racial disparities articles between 1992 and 2022 were queried from the Web of Science Core Collection of Clarivate Analytics. Bibliometric indicators in excel format were extracted and subsequently imported for further analysis. Bibliometrix and VOSviewer analyzed current and previous research. Results: Database search yielded 234 total articles assessing racial and ethnic disparities between 1992 and 2022. Twenty-six countries published manuscripts with the United States producing the majority of publications. The Veterans Health Administration and University of Pittsburgh were the most relevant institutions. Ibrahim SA was the most relevant and influential author within this field. Visuals of thematic map and co-occurrences identified the basic, motor, and niche themes within the literature. Conclusions: Racial and ethnic disparity within arthroplasty literature demonstrate growing traction with global contributions. United States authors and institutions are the largest contributors within this field. This bibliometric analysis identified previous, current, and future trends for prediction of future hotspots.

Genicular nerve radiofrequency ablation: a systematic review of application for perioperative pain control in total knee arthroplasty and as treatment for chronic pain in well-appearing total knee arthroplasty.

BACKGROUND: Total knee arthroplasty (TKA) is a successful treatment for end-stage osteoarthritis, yet some patients still experience postoperative pain. Genicular nerve radiofrequency ablation (GNRFA) has become a potential modality to address pain in TKA. This systematic review aims to critically analyze the applicability of GNRFA in perioperative pain control prior to TKA, as well as a treatment modality for chronic painful well-appearing TKA. METHODS: PubMed, Medline, EMBASE, Google Scholar, Scopus, and COCHRANE databases, as well as the ClinicalTrials.gov register, were reviewed. The search included randomized controlled trials and cohort studies. The sample population focused on two cohorts; those who underwent TKA and utilized intentional GNRFA as a perioperative pain control modality, and those utilizing the treatment modality for chronic pain in well-appearing TKA. GNRFA was the intervention studied, and postoperative outcomes were compared with the control group, which consisted of those not receiving GNRFA. RESULT: Eight total publications were identified as relevant to this search. Among the pre-TKA studies, there was variability in results; these inconsistencies were attributed to a lack of standardization, especially with regard to type, timing, and targeted nerves with ablation. Likewise, while the results were improved among the population with chronic painful TKA receiving GNRFA, these inconsistencies still existed. CONCLUSIONS: Current evidence suggests GNRFA as a possible pre-TKA intervention to potentially minimize opioid consumption, patient-reported pain, length of stay, and increased range of motion and activity. However, the short-lived duration in the setting of chronically painful well-appearing TKA represents a major barrier that warrants further investigation. Limitations include small sample size, heterogeneity, lack of standardization of techniques among studies, and lack of direct comparison and meta-analysis. Further research should focus on the standardization of technique as well as analyzing various patient and health-system-related factors that correlate with sustained positive outcomes.

Perioperative Nutritional, Functional, and Bone Health Optimization in Spine Surgery: A National Investigation of Spine Surgeons' Perceptions and Practices.

INTRODUCTION: While perioperative nutritional, functional, and bone health status optimization in spine surgery is supported with ample evidence, the implementation and surgeon perception regarding such efforts in clinical practice remain largely unexplored. This study sought to assess the current perception of spine surgeons and implementation regarding the nutritional, functional status, and bone health perioperative optimization. METHODS: An anonymous 30-question survey was distributed to orthopaedic spine fellowship and neurosurgery program directors identified through the North American Spine Society and American Association of Neurological Surgeons contact databases. RESULTS: The questionnaire was completed by 51 surgeon survey respondents. Among those, 62% reported no current formal nutritional optimization protocols with 14% not recommending an optimization plan, despite only 10% doubting benefits of nutritional optimization. While 5% of respondents perceived functional status optimization as nonbeneficial, 68% of respondents reported no protocol in place and 46% noted a functional status assessment relying on patient dependency. Among the respondents, 85% routinely ordered DEXA scan if there was suspicion of osteoporosis and 85% usually rescheduled surgery if bone health optimization goals were not achieved while 6% reported being suspicious of benefit from such interventions. CONCLUSION: While most responding spine surgeons believe in the benefit of perioperative nutritional and functional optimization, logistical and patient compliance challenges were noted as critical barriers toward optimization. Understanding surgeon perception and current practices may guide future efforts toward advancement of optimization protocols.

Evaluating the optimal management strategy for intraoperative iatrogenic injury to the medial collateral ligament during primary total knee arthroplasty: A systematic review.

INTRODUCTION: Intraoperative iatrogenic MCL injuries during primary TKA are rare complications that lack a gold standard management protocol. This review aims to provide insight into various treatment modalities and evidence-based guidance for improved patient outcomes. METHODS: A comprehensive search across five databases identified relevant randomized control trials and retrospective cohort studies with reported outcomes. A total of 17 studies were included, and variables such as patient demographics, injury type, management, and Knee Society Scores (KSS) were assessed. The quality of included studies was evaluated using the Critical Appraisal Skills Programme tool. RESULTS: Mean age of included patients ranged from 60.0 to 71.4 years. The mean Body Mass Index ranged from 26.75 to 34.40 kg/m2. Among the included knees, 298 were categorized as MCL avulsion, and 167 as midsubstance/transection injuries. Primary repair with sutures or bone staples emerged as the most common management. Intraoperative MCL injury was correlated with reduced preoperative range of motion (ROM) and postoperative KSS clinical, functional, and pain scores compared to control groups. Postoperative ROM was comparable between MCL injury and control groups, ranging from 100.0° to 130.0° and 107.0° to 130.0°, respectively. CONCLUSION: Current evidence supports primary repair as the preferred management for this complication. Factors such as extent of the tear, type of injury, and the surgeon's experience also help to guide treatment. While treatment modalities like allograft or autograft reconstruction show promise, further research with larger sample sizes is needed to enhance future outcomes.

Outcomes of Image-Free Robotic Assisted Total Knee Arthroplasty in Patients Who Have Valgus Knee Deformities.

BACKGROUND: Valgus knee deformities pose a unique challenge in total knee arthroplasty (TKA) due to the complexity of achieving ligamentous balance and satisfactory alignment compared to varus or neutral deformities. Robotic-assisted (RA) TKA could aid in achieving improved component alignment and balance. METHODS: We retrospectively evaluated a matched cohort of patients to compare image-free RA-TKA (n = 44) versus conventional manual (CM) TKA (n = 30) techniques in patients who have valgus deformity of 5 to 15 degrees, including radiographic and patient-reported outcomes measures (PROMs) over a 3-year period. The patient reported outcome measures (PROMs) studied to determine outcomes were: Western Ontario McMaster University Arthritis Index, Knee Society Score-Function Score, and Short Form 12-item Survey. RESULTS: Overall, the RA-TKA cohort showed faster improvement in PROMs (37.16 ± 1 8.8 versus 25.74 ± 17.7, P = .02), shorter length of stay (1.41 versus 2.29 days, P = .02), and shorter operating room times (120.79 versus 123.67 minutes, P = .02) than CM-TK). Additionally, there was no difference in the use of primary versus varus-valgus constrained polyethylene liners between the cohorts. CONCLUSIONS: In this investigation, RA-TKA yielded a slightly faster patient recovery, more objective measurements of ligamentous balance, and proved noninferior PROMs compared to CM-TKA for preoperative valgus knee deformities.

Bibliometric analysis of machine learning trends and hotspots in arthroplasty literature over 31 years.

Background: Artificial intelligence has demonstrated utility in orthopedic research. Algorithmic models derived from machine learning have demonstrated adaptive learning with predictive application towards outcomes, leading to increased traction in the literature. This study aims to identify machine learning arthroplasty research trends and anticipate emerging key terms. Methods: Published literature focused on machine learning in arthroplasty from 1992 to 2023 was selected through the Web of Science Core Collection of Clarivate Analytics. Following that, bibliometric indicators were attained and brought in to perform an additional examination using Bibliometrix and VOSviewer to identify historical and present patterns within the literature. Results: A total of 235 documents were obtained through bibliometric sourcing based on machine learning applications within the arthroplasty literature. Thirty-four countries published articles on the topic, and the United States was demonstrated to be the largest global contributor. Four hundred-five institutions internationally contributed articles, with Harvard Medical School and the University of California system as the most relevant institutes, with 75 and 44 articles produced, respectively. Kwon YM was the most productive author, while Haeberle HS and Ramkumar PN were the most impactful based on h-index. The Thematic map and Co-occurrence visualization helped identify both major and niche themes present in the scientific databases. Conclusions: Machine learning in arthroplasty research continues to gain traction with a growing annual production rate and contributions from international authors and institutions. Institutions and authors based in the United States are the leading contributors to machine learning applications within arthroplasty research. This research discerns trends that have occurred, are presently ongoing, and are emerging within this field, aiming to inform future hotspot development.

Frailty Among Revision Total Knee Arthroplasty Recipients: Epidemiology and Propensity Score-weighted Analysis of Effect on In-hospital Postoperative Outcomes.

BACKGROUND: Frailty has been shown to correlate with worse outcomes after total knee arthroplasty (TKA), although less is known regarding its effect on revision TKA (rTKA). This study examines the epidemiologic characteristics and inpatient outcomes of patients with frailty undergoing rTKA. METHODS: Discharge data from National Inpatient Sample registry were used to identify all patients aged 50 years or older who underwent rTKA between 2006 and 2015. Patients were stratified into frail and nonfrail groupings, based on the presence of specific International Classification of Diseases-9 diagnostic coding. An analysis comparing the epidemiology, medical comorbidities, and propensity score-weighted postoperative clinical and economic outcomes of the two groups was done. RESULTS: From 2006 to the third quarter of 2015, a total of 576,920 patients (17,727 frail) who underwent rTKA were included. The average age in the study's population was 67.2 years, with a female distribution of 57.4%. Frail patients were more likely to exhibit markedly higher rates of almost all modified Elixhauser Comorbities than their nonfrail counterparts. Frail patients were also more likely to undergo different types of revisions, including an increased rate of removal of the prosthesis without replacement. In addition, frail patients displayed increased likelihood of experiencing any postoperative complication, deep vein thrombosis, postoperative anemia, respiratory complications, and wound dehiscence. Frail patients experienced lower rates of discharge home and increased length of stay than the nonfrail cohort. DISCUSSION: Patients with frailty undergoing rTKA are at markedly higher risk for inpatient postoperative complications and increased length of stay. Understanding the implications of frailty within rTKA is essential for risk assessment and preoperative optimization for this expanding population.

Tourniquet-free minimally invasive total knee arthroplasty is associated with early aseptic loosening.

BACKGROUND: While tourniquet-free (T-) total knee arthroplasty (TKA) has gained popularity, tourniquet-use during minimally-invasive (MIS)-TKA has not been adequately studied. Traditional techniques employ knee hyper-flexion, compressing vasculature and reducing impact of bleeding, while MIS-TKA embraces the semi-extended knee position, which does not restrict the effects of bleeding on cementation and visualization. We compared the risk of aseptic loosening between patients undergoing T- MIS-TKA compared to T + MIS-TKA. METHODS: This single-surgeon cohort study included 329 consecutive MIS-TKA (226 T+,103 T-) patients with minimum 3-year follow-up. Aseptic loosening, radiolucent lines (RLL), health related quality of life scores, and complications were recorded. T-test and chi-square test were used to compare continuous and categorical variables, and logistic regression included BMI, age, ASA, patellar-resurfacing, and tourniquet-use. RESULTS: There were no differences in baseline demographics. One (0.4 %) aseptic loosening occurred with T+, versus 7 (6.8 %) with T- (p = 0.002). No T + and 3 T- patients (2.9 %, p = 0.01) had revision for aseptic loosening. The incidence of RLLs was 16.8 % in T + and 30.1 % in T- (p = 0.008). Logistic regression revealed T + was significantly associated with decreased aseptic loosening and risk of RLL (odds ratio = 16.4, odds ratio = 2.8). CONCLUSION: In this consecutive series, T- MIS-TKA was associated with increased rates of revision for aseptic loosening as compared to the T + MIS-TKA, even controlling for BMI, age, ASA level, and patellar resurfacing. Radiolucent lines were increased with T- MIS-TKA compared to T + MIS-TKA. Complications, all-cause revision, ROM, and HRQoL scores were similar between tourniquet-use and tourniquet-free cohorts.

The utilization of US-based large data in arthroplasty research: Bibiliometric analysis of trends and hotspots.

Background: The accessibility of digital information has expanded orthopaedic surgery with expanded role of Big Databases. The increasing interest have led to creation of large databases with increasing utilization in retrospective studies. The aim of this study is to identify Big Database research and predict future hotspots. Methods: Big Database publications between 1982 and 2022 were identified from the Web of Science Core Collection of Clarivate Analytics. Bibliometric indicators were obtained and imported for further analysis with VOSviewer and Bibliometrix to identify previous and ongoing trends within this field. Results: Bibliometric sourcing identified 811 total articles that was associated with major databases. Twenty-eight countries published manuscript in the field with the United States as the largest contributor. The most relevant institutions were Cleveland Clinic and Harvard University. Mont MA was the most productive and influential author. Co-occurrence visualization and thematic map identified niche and major themes within the literature. Conclusions: Large Database research continue to show an increasing trend since 2011 with contributions globally. United States institutions and authors are the leading contributors in big database research. This study identifies previous, current, and developing trends within this field for future hotspot development.

Anterior Knee Pain After Total Knee Arthroplasty: A Critical Review of Peripatellar Variables.

¼ Despite the widespread success of total knee arthroplasty (TKA), postoperative anterior knee pain (AKP) remains a common occurrence and source of dissatisfaction with several readily discernible and diagnosable causes of AKP after TKA, including component malpositioning, infection, wear and osteolysis, instability, and loosening, among others.¼ In the setting of the well-appearing but painful TKA, potential intraoperative contributors to AKP have been extensively investigated, but remain controversial and include patellar resurfacing, patellar denervation, and patellofemoral joint overstuffing or understuffing.¼ Intraoperative management of peripatellar soft tissues has comparatively attained substantially less attention recently, and persistent controversy exists in the literature to make informed decisions on soft-tissue management and identify potential contributors to AKP.¼ Further investigations and research is needed, including exploration of multifactorial or alternative etiologies, specifically ones related to less obvious soft-tissue-related factors, needed to better understand and ultimately avoid AKP after TKA.

Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables.

BACKGROUND: This study aimed to compare the performance of ten predictive models using different machine learning (ML) algorithms and compare the performance of models developed using patient-specific vs. situational variables in predicting select outcomes after primary TKA. METHODS: Data from 2016 to 2017 from the National Inpatient Sample were used to identify 305,577 discharges undergoing primary TKA, which were included in the training, testing, and validation of 10 ML models. 15 predictive variables consisting of 8 patient-specific and 7 situational variables were utilized to predict length of stay (LOS), discharge disposition, and mortality. Using the best performing algorithms, models trained using either 8 patient-specific and 7 situational variables were then developed and compared. RESULTS: For models developed using all 15 variables, Linear Support Vector Machine (LSVM) was the most responsive model for predicting LOS. LSVM and XGT Boost Tree were equivalently most responsive for predicting discharge disposition. LSVM and XGT Boost Linear were equivalently most responsive for predicting mortality. Decision List, CHAID, and LSVM were the most reliable models for predicting LOS and discharge disposition, while XGT Boost Tree, Decision List, LSVM, and CHAID were most reliable for mortality. Models developed using the 8 patient-specific variables outperformed those developed using the 7 situational variables, with few exceptions. CONCLUSION: This study revealed that performance of different models varied, ranging from poor to excellent, and demonstrated that models developed using patient-specific variables were typically better predictive of quality metrics after TKA than those developed employing situational variables. LEVEL OF EVIDENCE: III.

Assessing the predictive capacity of machine learning models using patient-specific variables in determining in-hospital outcomes after THA.

Background: Machine learning is a subset of artificial intelligence using algorithmic modeling to progressively learn and create predictive models. Clinical application of machine learning can aid physicians through identification of risk factors and implications of predicted patient outcomes. Aims: The aim of this study was to compare patient-specific and situation perioperative variables through optimized machine learning models to predict postoperative outcomes. Methods: Data from 2016 to 2017 from the National Inpatient Sample was used to identify 177,442 discharges undergoing primary total hip arthroplasty, which were included in the training, testing, and validation of 10 machine learning models. 15 predictive variables consisting of 8 patient-specific and 7 situational specific variables were utilized to predict 3 outcome variables: length of stay, discharge, and mortality. The machine learning models were assessed in responsiveness via area under the curve and reliability. Results: For all outcomes, Linear Support Vector Machine had the highest responsiveness among all models when using all variables. When utilizing patient-specific variables only, responsiveness of the top 3 models ranged between 0.639 and 0.717 for length of stay, 0.703-0.786 for discharge disposition, and 0.887-0.952 for mortality. The top 3 models utilizing situational variables only produced responsiveness of 0.552-0.589 for length of stay, 0.543-0.574 for discharge disposition, and 0.469-0.536 for mortality. Conclusions: Linear Support Vector Machine was the most responsive machine learning model of the 10 algorithms trained, while decision list was most reliable. Responsiveness was observed to be consistently higher with patient-specific variables than situational variables, emphasizing the predictive capacity and value of patient-specific variables. The current practice in machine learning literature generally deploys a single model, it is suboptimal to develop optimized models for application into clinical practice. The limitation of other algorithms may prohibit potential more reliable and responsive models.Level of Evidence III.

Epidemiology of primary and revision total knee arthroplasty: analysis of demographics, comorbidities and outcomes from the national inpatient sample.

INTRODUCTION: Primary total knee arthroplasty (TKA) is a preferred treatment for end-stage knee osteoarthritis. In the setting of a failed TKA, revision total knee arthroplasty (rTKA) acts as a salvage procedure and carries a higher risk compared to primary TKA. Given increased interest in postoperative outcomes from these procedures, a thorough understanding of the demographics, comorbidities, and inpatient outcomes is warranted. This study aimed to report the epidemiological data of demographics, comorbidity profiles and outcomes of patients undergoing TKA and rTKA. METHODS: A retrospective review of NIS registry discharge data from 2006 to 2015 third quarter was performed. This study included adults aged 40 and older who underwent TKA or rTKA. A total of 5,901,057 TKA patients and 465,968 rTKA patients were included in this study. Simple descriptive statistics were used to present variables on demographics, medical comorbidities, and postoperative complications. RESULTS: A total of 5,901,057 TKA and 465,968 rTKA discharges were included in this study, with an average age of 66.30 and 66.56 years, and the major payor being Medicare, accounting for 55.34% and 59.88% of TKA and rTKA cases, respectively. Infection (24.62%) was the most frequent reason for rTKA, and was followed by mechanical complications (18.62%) and dislocation (7.67%). The most common medical comorbidities for both groups were hypertension, obesity, and diabetes. All types of inpatient complications were reported in 22.21% TKA and 28.78% of rTKA cases. Postoperative anemia was the most common complication in both groups (20.34% vs. 25.05%). CONCLUSIONS: Our data demonstrated a 41.9% increase in patients receiving TKA and 28.8% increase in rTKA from the years 2006 to 2014. The data showed a 22.21% and a 28.78% "complication" rate with TKA and rTKA, with postoperative anemia being the most common complication. The top 3 medical comorbidities were hypertension, obesity, and diabetes for both groups and with increased focus on perioperative optimization, future analyses into preoperative medical optimization, and improved primary arthroplasty protocol may result in improved postoperative outcomes.

Comorbidity, Racial, and Socioeconomic Disparities in Total Knee and Hip Arthroplasty at High Versus Low-Volume Centers.

INTRODUCTION: The purpose of this study was to compare the epidemiologic and demographic profiles and inpatient postoperative complication and economic outcomes of patients undergoing total joint arthroplasty of the hip and knee (TJA) at high-volume centers (HVCs) versus low-volume centers (LVCs) using a large national registry. METHODS: This retrospective cohort study used data from the National Inpatient Sample from 2006 to the third quarter of 2015. Discharges representing patients aged 40 years or older receiving a primary total hip arthroplasty or total knee arthroplasty were included. Patients were stratified into those undergoing their procedure at HVCs versus LVCs. Epidemiologic, demographic, and inpatient postoperative complications and economic outcomes were comparatively analyzed between groups. RESULTS: A total of 7,694,331 TJAs were conducted at HVCs while 1,044,358 were conducted at LVCs. Patients at LVCs were more likely to be female, be Hispanic, be non-Hispanic Black, and use Medicare and Medicaid than patients at HVCs. Of the 29 Elixhauser comorbidities examined, 14 were markedly higher at LVCs while 11 were markedly higher at HVCs. Patients who underwent TJA at LVCs were more likely to develop cardiac, respiratory, gastrointestinal, genitourinary, hematoma/seroma, wound dehiscence, and postoperative infection complications and were more likely to die during hospitalization. Patients at HVCs were more likely to develop postoperative anemia. Length of stay and total charges were higher at LVCs compared with HVCs. DISCUSSION: There are notable differences in the demographics, epidemiologic characteristics, and inpatient outcomes of patients undergoing TJA at HVCs versus LVCs. Attention should be directed to identifying and applying the specific resources, processes, and practices that improve outcomes at HVCs while referral practices and centralization efforts should be mindful to not worsen already existing disparities.

Cannabis use disorder is associated with shorter length of stay and increased home discharge after primary total joint arthroplasty: a propensity-weighted analysis.

INTRODUCTION: Increased legalization of cannabis use across the United States has been correlated with increased cannabis use in the clinical setting. However, little is known regarding the characteristics and postoperative outcomes after primary joint arthroplasty (TJA) for patients with cannabis use disorder (CUD). METHODS: This retrospective cohort study used data from the National Inpatient Sample of patients undergoing primary TJA between 2006 to 2015. Patients were grouped based on presence of concomitant CUD. Patient demographic characteristics and outcome data between groups were analyzed. Propensity score methodology was used to compare immediate in-hospital complications and economic outcomes. RESULTS: A total of 8,740,798 TJAs were included. The prevalence of CUD increased nearly five-fold from 0.05% to 0.26% during this time (P < 0.0001). CUD patients were significantly younger, more likely to be male, most frequently of non-Hispanic Black race, and had higher rates of Medicaid insurance. Patients with CUD had a significantly shorter length of hospital stay (3.04 vs. 3.24 days, P = 0.0297), while incurring significantly higher daily ($22,614 vs. $17,955, P < 0.0001) and total charges during admission ($58,507 vs. $50,924, P < 0.0001), compared to patients without CUD. When compared with the control group, CUD was associated with significantly greater odds of home discharge (odds ratio (OR): 1.45, P = 0.0007), and significantly lower odds of rehab discharge (OR: 0.70, P = 0.0013). There were no differences in overall complication profile or in the vast majority of individual in-hospital complications between groups. CONCLUSION: While CUD is correlated to shorter length of stay and increased home discharge after TJA, it does not show a strong effect on complications in an inpatient postoperative setting. It is important for clinicians to appreciate the demographic profile and expected clinical and economic outcomes for patients with CUD undergoing TJA, particularly in the context of evolving laws surrounding cannabis use.

Frailty Among Total Hip and Knee Arthroplasty Recipients: Epidemiology and Propensity Score-weighted Analysis of Effect on In-hospital Postoperative Outcomes.

INTRODUCTION: Total joint arthroplasty (TJA) is one of the most successful and frequently performed procedures in the United States. The number of these procedures is projected to continue growing rapidly in the coming years, and with it comes the demand for more sophisticated perioperative risk and complication assessment. This study examines the effect of frailty on postoperative inpatient complications and hospital resource utilization after TJA. METHODS: Discharge data from the National Inpatient Sample were used to identify all patients aged 50 years or older who underwent TJA between 2006 and 2015. Nonelective admissions and hip fractures were excluded. Patients were stratified into two groups with and without concomitant ICD-9 diagnostic criteria that qualified them has having frailty. An analysis comparing the 2 groups' epidemiology, medical comorbidities, and propensity score-weighted postoperative clinical and economic outcomes was done. RESULTS: A total of 7,854,890 TJAs were included in this analysis, with 136,516 meeting the criteria for frailty and 7,718,374 being nonfrail. Among these patients, the average age was 67.3 years and the female distribution was 61.1%. Frail patients were found to have markedly higher rates of all but two individual comorbidities constituting the Modified Elixhauser Profile compared with nonfrail patients. Compared with the control group, frail patients were found to have increased risk of any postoperative complication, central nervous system complications, hematoma/seroma, wound dehiscence, infection, and postoperative anemia. Frail patients also had longer length of stay, higher discharge to rehabilitation facilities, and higher hospital charges. DISCUSSION: Patients with frailty undergoing TJA procedures are at a markedly higher risk for developing postoperative complications and worse hospital economic outcomes. As this patient population continues to increase, it is imperative for clinicians to use their risk factors in optimizing their perioperative care and support.

Epidemiology of total hip arthroplasty: demographics, comorbidities and outcomes.

BACKGROUND: Primary THA (THA) is a successful procedure for end-stage hip osteoarthritis. In the setting of a failed THA, revision total hip arthroplasty (rTHA) acts as a salvage procedure. This procedure has increased risks, including sepsis, infection, prolonged surgery time, blood loss, and increased length of stay. Increasing focus on understanding of demographics, comorbidities, and inpatient outcomes can lead to better perioperative optimization and post-operative outcomes. This epidemiological registry study aimed to compare the demographics, comorbidity profiles, and outcomes of patients undergoing THA and rTHA. METHODS: A retrospective review of discharge data reported from 2006 to the third quarter of 2015 using the National Inpatient Sample registry was performed. The study included adult patients aged 40 and older who underwent either THA or rTHA. A total of 2,838,742 THA patients and 400,974 rTHA patients were identified. RESULTS: The primary reimbursement for both THA and rTHA was dispensed by Medicare at 53.51% and 65.36% of cases respectively. Complications arose in 27.32% of THA and 39.46% of rTHA cases. Postoperative anemia was the most common complication in groups (25.20% and 35.69%). Common comorbidities in both groups were hypertension and chronic pulmonary disease. rTHA indications included dislocation/instability (21.85%) followed by mechanical loosening (19.74%), other mechanical complications (17.38%), and infection (15.10%). CONCLUSION: Our data demonstrated a 69.50% increase in patients receiving THA and a 28.50% increase in rTHA from the years 2006 to 2014. The data demonstrated 27.32% and 39.46% complication rate with THA and rTHA, with postoperative anemia as the most common cause. Common comorbidities were hypertension and chronic pulmonary disease. Future analyses into preoperative optimizations, such as prior consultation with medical specialists or improved primary hip protocol, should be considered to prevent/reduce postoperative complications amongst a progressive expansion in patients receiving both THA and rTHA.

Ultrasonography for the Busy Orthopaedic Surgeon: The Upper Extremity.

Ultrasonography is increasingly used in the diagnosis and treatment of musculoskeletal conditions and injuries. Ultrasonography possesses multiple advantages compared with other methods of imaging, including low cost, lack of radiation exposure, speed, and means for dynamic examination. Because of these advantages, many orthopaedic surgeons are routinely using ultrasonography to diagnose musculoskeletal conditions of the upper extremity. Musculoskeletal ultrasonography is technically challenging, but with proper guidance and practice, every orthopaedic surgeon can confidently integrate ultrasonography into their clinical practice.