Risk of Infection After Total Knee or Hip Arthroplasty After Receipt of Multiple Corticosteroid or Hyaluronic Acid Injections.

BACKGROUND: Few studies have assessed the relationship between the quantity of preoperative corticosteroid injections (CSIs) or hyaluronic acid injections (HAIs) and postoperative infection risk after total knee or hip arthroplasty (TKA, THA). We aimed to (1) determine whether the number of injections administered before TKA/THA procedures is associated with postoperative infections and (2) establish whether infection risk varies by injection type. METHODS: This retrospective cohort study included 230,487 THAs and 371,511 TKAs from the 2017 to 2018 Medicare Limited Data Set. The quantity of CSI or HAI, defined as receiving either CSI or HAI ≤2 years before TKA/THA, was identified and categorized as 0, 1, 2, or >2. The primary outcome was 90-day postoperative infection. Multivariable regression models measured the association between the number of injections and 90-day postoperative infection. Odds ratios and 95% confidence intervals were reported. RESULTS: The percentage of THA patients receiving 1, 2, and >2 preoperative CSIs was 6.1%, 1.6%, and 0.8%, respectively. Receiving >2 CSIs within 2 years before THA was associated with higher odds of 90-day postoperative infection (odds ratios = 1.74, 95% CI = 1.11 to 2.74, P = 0.02). The percentage of TKA patients receiving 1, 2, and >2 CSIs was 3.0%, 1.2%, and 1.1%, respectively. For HAIs in TKA patients, percentage receiving injections was 98.3%, 0.6%, 0.2%, and 0.9%, respectively. Quantity of CSIs or HAIs administered was not associated with postoperative infection among TKA patients. CONCLUSION: Patients receiving >2 injections before THA had higher odds of 90-day postoperative infection. This finding was not observed in TKA patients. These results suggest that the use of >2 injections within 2 years of THA should be avoided.

Educating Radiology Stakeholders on Relevant Health Issues and Terminology Regarding LGBTQIA+ Patients in 2023.

RATIONALE AND OBJECTIVES: Over 20% of the Lesbian, Gay, Bisexual, Queer or Questioning, Intersex, Asexual or Ally, and more (LGBTQIA+) community reports experiencing discrimination upon accessing health care, causing many to defer access to care and resulting in poorer outcomes. While members of this community routinely undergo imaging studies, little formal education exists within the field of radiology to review the unique health care needs of this population and the specific relevance to imaging, in addition to actionable methods to promote inclusion. MATERIALS AND METHODS: A 1-hour educational conference was held for a cohort of radiology resident physicians at our institution, in which topics including LGBTQIA+ health care disparities, clinical nuances relevant to the field of radiology, and actionable suggestions that both academic and private-practice centers can adopt to foster inclusion were presented. All attendees were required to complete a 12-question, multiple-choice preconference and postconference examination. RESULTS: Median prelecture and postlecture quiz scores for four first-year radiology residents were 29% and 75%, for two second-year radiology residents were 29% and 63%, for two third-year radiology residents were 17% and 71%, and for three fourth-year radiology residents were 42% and 80%. CONCLUSION: Multiple areas of opportunity to foster LGBTQIA+ inclusion at the provider and administration levels currently exist throughout the field of radiology. A radiology-focused education module regarding clinical nuances, health care inequities, and ways to foster an inclusive environment with the LGBTQIA+ community is an effective way to promote learner knowledge.

Robust prediction of nonhome discharge following elective anterior cervical discectomy and fusion using explainable machine learning.

PURPOSE: Predict nonhome discharge (NHD) following elective anterior cervical discectomy and fusion (ACDF) using an explainable machine learning model. METHODS: 2227 patients undergoing elective ACDF from 2008 to 2019 were identified from a single institutional database. A machine learning model was trained on preoperative variables, including demographics, comorbidity indices, and levels fused. The validation technique was repeated stratified K-Fold cross validation with the area under the receiver operating curve (AUROC) statistic as the performance metric. Shapley Additive Explanation (SHAP) values were calculated to provide further explainability regarding the model's decision making. RESULTS: The preoperative model performed with an AUROC of 0.83 ± 0.05. SHAP scores revealed the most pertinent risk factors to be age, medicare insurance, and American Society of Anesthesiology (ASA) score. Interaction analysis demonstrated that female patients over 65 with greater fusion levels were more likely to undergo NHD. Likewise, ASA demonstrated positive interaction effects with female sex, levels fused and BMI. CONCLUSION: We validated an explainable machine learning model for the prediction of NHD using common preoperative variables. Adding transparency is a key step towards clinical application because it demonstrates that our model's "thinking" aligns with clinical reasoning. Interactive analysis demonstrated that those of age over 65, female sex, higher ASA score, and greater fusion levels were more predisposed to NHD. Age and ASA score were similar in their predictive ability. Machine learning may be used to predict NHD, and can assist surgeons with patient counseling or early discharge planning.

The Impact of Computer-Assisted Navigation on Charges and Readmission in Patients Undergoing Posterior Cervical Fusion Surgery.

STUDY DESIGN: Retrospective cohort study of 2016 Healthcare Cost and Utilization Project Nationwide Readmissions Database (NRD). OBJECTIVE: The aim was to evaluate cost and outcomes associated with navigation use on posterior cervical fusion (PCF) surgery patients. SUMMARY OF BACKGROUND DATA: Computer-assisted navigation systems demonstrate comparable outcomes with hardware placement and procedural speed compared with traditional techniques. Innovations in technology continue to improve surgeons' performance in complicated procedures, causing need to analyze the impact on patient care. METHODS: The 2016 NRD was queried for patients with PCF surgery ICD-10 codes. Cost and readmission rates were compared with and without navigation. Nonelective cases and patients below 18 years of age were excluded. Univariate analysis on demographics, surgical data, and total charges was performed. Lastly, multivariate analysis was performed to assess navigation's impact on cost and postoperative outcomes. RESULTS: A total of 11,834 patients were identified, with 137 (1.2%) patients undergoing surgery with navigation and 11,697 (98.8%) patients without. Average total charge was $131,939.47 and $141,270.1 for the non-navigation and navigation cohorts, respectively ( P =0.349). Thirty-day and 90-day readmission rates were not significantly lower in patients who received navigation versus those that did not ( P =0.087). This remained insignificant after adjusting for several variables, age above 65, sex, medicare status, mental health history, and comorbidities. The model adjusting for demographic and comorbidities maintained insignificant results of navigation being associated with decreased 30-day and 90-day readmissions ( P =0.079). CONCLUSIONS: Navigation use in PCF surgery was not associated with increased cost, and patients operated on with navigation did not significantly have increased routine discharge or decreased 90-day readmission. As a result, future studies must continue to evaluate the cost-benefit of navigation use for cervical fusion surgery. LEVEL OF EVIDENCE: Level III.

Inequalities in Pediatric Fracture Care Timeline Based on Insurance Type.

INTRODUCTION: Socioeconomic and insurance status are often linked with limited access to health care. Despite several government-funded projects aimed at curtailing these barriers, pediatric orthopaedic patients continue to experience delays in receiving timely care for fracture treatments. This delay has been well-identified within the orthopaedic literature but, to our knowledge, has never been characterized based on timeline. Thus, the goal of this study is to evaluate the role of ethnicity, socioeconomic status, and insurance type on the timeline of pediatric patients to obtain orthopaedic care within our community. METHODS: Pediatric patients presenting to our clinic for the treatment of one of 21 most common fractures were included. Patient demographics and the timeline of patient care were collected by retrospective chart review. RESULTS: Government-funded insurance accounted for 60.6% of the 413 patients. These patients experienced significant (P < 0.001) delays in access to care when compared with commercial insurance patients; the time between injury and referral as well as the overall time from injury to orthopaedic evaluation was 2.8 and twofold greater at 4.4 days and 9.2 days, respectively. A strong correlation was established between income levels and insurance type. DISCUSSION: Pediatric patients with a lower socioeconomic status are more likely to rely on government-funded insurance and experience delays in fracture evaluation.

Healthcare disparities in adolescent idiopathic scoliosis: the impact of socioeconomic factors on Cobb angle.

STUDY DESIGN: Retrospective chart review. OBJECTIVES: The aim of this study is to assess the role of insurance type, geographic socioeconomic status, and ethnicity in AIS disease severity in a state with mandated scoliosis screenings. Early detection of adolescent idiopathic scoliosis (AIS) is associated with reduced curve progression, surgical treatment, and long-term sequelae. Type of insurance, ethnicity, and socioeconomic status are important determinants in healthcare access. METHODS: Data were obtained for 561 AIS patients aged 10-18 years, living within a single county, and presenting to a single healthcare system for initial evaluation of AIS between 2010 and 2016 that met inclusion criteria. Demographic data including gender, age, self-reported ethnicity, insurance, and zip code were collected. Outcome measures included Cobb angle, curve severity, and referral delay. A single fellowship-trained pediatric orthopedic surgeon calculated presenting Cobb angle for each case. Zip code was used as a proxy for household income level. Independent sample t tests, analysis of variance and covariance, and χ2 analysis were used to determine the significant differences and correlations. RESULTS: Female patients (n = 326, CA = 22.4°) had significantly greater Cobb angle measurements compared with male patients (n = 117, CA = 18.1°). Patients with government-supported insurance had significantly higher Cobb angles (CA = 22.1°) than privately insured patients (CA = 19.2°) but were both classified within the "mild" range clinically, and are likely not clinically significant. There was no correlation between income level and Cobb angle. Referral delay and Cobb angle severity did not vary by age, income, or insurance. A χ2 analysis showed no association between Cobb angle and race. CONCLUSIONS: Cobb angle severity was not influenced by SES factors, including ethnicity and household income. LEVEL OF EVIDENCE: Level-II.

Impact of Insurance Status on Time to Evaluation and Treatment of Meniscal Tears in Children, Adolescents, and College-Aged Patients in the United States.

BACKGROUND: The meniscus is vital for load bearing, knee stabilization, and shock absorption, making a meniscal tear a well-recognized sport-related injury in children and young adults. An inverse relationship between the quality and value of orthopaedic care provided and the overall treatment cycle exists in which delayed meniscal tear treatment increases the likelihood of unfavorable outcomes. Although a majority of children and young adults have health insurance, many athletes within this demographic still face significant barriers in accessing orthopaedic services because of insurance type and household income. PURPOSE: To determine the impact of insurance status and socioeconomic markers on the time to orthopaedic evaluation and treatment as well as the rate of surgical interventions for meniscal tears in children and young adult athletes in the United States. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: We conducted a retrospective review of all patients ≤22 years of age who presented to our institution between 2008 and 2016 and who were diagnosed with meniscal tears. Patients were categorized based on insurance and socioeconomic status. Dates of injury, referral, evaluation by an orthopaedic surgeon, and surgery were also recorded. Chi-square and regression analyses were utilized to determine the significance and correlation between the influencing factors and time to referral, evaluation, and surgery. RESULTS: Publicly insured, commercially insured, and uninsured patients comprised 49.4%, 26.6%, and 24.1%, respectively, of the 237 patients included in this study. Insurance status was predictive of time to orthopaedic referral, initial evaluation, and surgery (P < .01). Uninsured and publicly insured patients experienced significant delays during their orthopaedic care compared with commercially insured patients. However, no correlation was found between insurance status or household income and the rate of surgical interventions. CONCLUSION: Publicly insured and uninsured pediatric and college-aged patients faced significant barriers in accessing orthopaedic services, as demonstrated by substantially longer times between the initial injury and referral to an orthopaedic evaluation and surgery; however, these socioeconomic factors did not affect the rate of surgical management. Clinical competency regarding the effects of socioeconomic factors on the time to orthopaedic care and efforts to expedite care among underinsured and underserved children are vital for improving patient outcomes.

Educational Resources "Over the Head" of Neurosurgical Patients: The Economic Impact of Inadequate Health Literacy.

BACKGROUND: Health literacy is the ability with which individuals can obtain, understand, and apply basic health information. Approximately 36% of Americans have basic or below basic health literacy skills. This low health literacy is particularly prevalent in neurosurgery, a growing field of medicine with considerable complexity and a patient population commonly affected with disease-related cognitive impairment. Consequences of poor patient understanding range from increased emergency department admissions rates to reduced adherence to preoperative medication instructions. Economic implications include increasing health care expenditures, decreasing access to health care, and decreasing quality of care. Health literacy costs the United States $106-236 billion per year. METHODS: Consequences of inadequate patient understanding vary widely. This article reviews and addresses the economic impact of the failure to address low health literacy in neurosurgery. RESULTS: Various groups have proposed techniques and devised outlines to improve health literacy, such as detailing principles targeting the underlying issues of health care illiteracy. The government, through legislation including the Affordable Care Act and the National Action Plan to Improve Health Literacy, has also shown its desire to remedy the effects of insufficient health literacy. CONCLUSIONS: Despite current efforts, further action is still needed. Health literacy is a key determinant in ensuring longevity and quality of life.