Racial and Ethnic Minorities Underrepresented in Pain Management Guidelines for Total Joint Arthroplasty: A Meta-analysis.

BACKGROUND: Total joint arthroplasty aims to improve quality of life and functional outcomes for all patients, primarily by reducing their pain. This goal requires clinical practice guidelines (CPGs) that equitably represent and enroll patients from all racial/ethnic groups. To our knowledge, there has been no formal evaluation of the racial/ethnic composition of the patient population in the studies that informed the leading CPGs on the topic of pain management after arthroplasty surgery. QUESTIONS/PURPOSES: Using papers included in the 2021 Anesthesia and Analgesia in Total Joint Arthroplasty Clinical Practice Guidelines and comparing them with US National census data, we asked: (1) What is the representation of racial/ethnic groups in randomized controlled trials compared with their representation in the US national population? (2) Is there a relationship between the reporting of racial/ethnic groups and year of data collection/publication, location of study, funding source, or guideline section? METHODS: Participant demographic data (study year published, study type, guideline section, year of data collection, study site, study funding, study size, gender, age, and race/ethnicity) were collected from articles cited by this guideline. Studies were included if they were full text, were primary research articles conducted primarily within the United States, and if they reported racial and ethnic characteristics of the participants. The exclusion criteria included duplicate articles, articles that included the same participant population (only the latest dated article was included), and the following article types: systematic reviews, nonsystematic reviews, terminology reports, professional guidelines, expert opinions, population-based studies, surgical trials, retrospective cohort observational studies, prospective cohort observational studies, cost-effectiveness studies, and meta-analyses. Eighty-two percent (223 of 271) of articles met inclusion criteria. Our original literature search yielded 27 papers reporting the race/ethnicity of participants, including 24 US-based studies and three studies conducted in other countries; only US-based studies were utilized as the focus of this study. We defined race/ethnicity reporting as the listing of participants' race or ethnicity in the body, tables, figures, or supplemental data of a study. National census information from 2000 to 2019 was then used to generate a representation quotient (RQ), which compared the representation of racial/ethnic groups within study populations to their respective demographic representation in the national population. An RQ value greater than 1 indicates an overrepresented group and an RQ value less than 1 indicates an underrepresented group, relative to the US population. Primary outcome measures of RQ value versus time of publication for each racial/ethnic group were evaluated with linear regression analysis, and race reporting and manuscript parameters were analyzed with chi-square analyses. RESULTS: Two US-based studies reported race and ethnicity independently. Among the 24 US-based studies reporting race/ethnicity, the overall RQ was 0.70 for Black participants, 0.09 for Hispanic participants, 0.1 for American Indian/Alaska Natives, 0 for Native Hawaiian/Pacific Islanders, 0.08 for Asian participants, and 1.37 for White participants, meaning White participants were overrepresented by 37%, Black participants were underrepresented by 30%, Hispanic participants were underrepresented by 91%, Asian participants were underrepresented by 92%, American Indian/Alaska Natives were 90% underrepresented, and Native Hawaiian Pacific Islanders were virtually not represented compared with the US national population. On chi-square analysis, there were differences between race/ethnicity reporting among studies with academic, industry, and dual-supported funding sources (χ 2 = 7.449; p = 0.02). Differences were also found between race/ethnicity reporting among US-based and non-US-based studies (χ 2 = 36.506; p < 0.001), with 93% (25 of 27) of US-based studies reporting race as opposed to only 7% (2 of 27) of non-US-based studies. Finally, there was no relationship between race/ethnicity reporting and the year of data collection or guideline section referenced. CONCLUSION: The 2021 Anesthesia and Analgesia in Total Joint Arthroplasty Clinical Practice Guidelines provide evidence-based recommendations that reflect the current standards in orthopaedic surgery, but the studies upon which they are based overwhelmingly underenroll and underreport racial/ethnic minorities relative to their proportions in the US population. As these factors impact analgesic administration, their continued neglect may perpetuate inequities in outcomes after TJA. CLINICAL RELEVANCE: Our study demonstrates that all non-White racial/ethnic groups were underrepresented relative to their proportion of the US population in the 2021 Anesthesia and Analgesia in Total Joint Arthroplasty Clinical Practice Guidelines, underscoring a weakness in the orthopaedic surgery evidence base and questioning the overall external validity and generalizability of these combined CPGs. An effort should be made to equitably enroll and report outcomes for all racial/ethnic groups in any updated CPGs.

Quantifying Patient Expectations for Total Knee Arthroplasty: Expectations for Improvement Are Greater Than Minimal Clinically Important Difference.

BACKGROUND: Achieving a minimal clinically important difference (MCID) in patient-reported outcomes following total knee arthroplasty (TKA) is common, yet up to 20% patient dissatisfaction persists. Unmet expectations may explain post-TKA dissatisfaction. No prior studies have quantified patient expectations using the same patient-reported outcome metric as used for MCID to allow direct comparison. METHODS: This was a prospective study of patients undergoing TKA with 5 fellowship-trained arthroplasty surgeons at one academic center. Baseline Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) and Pain Interference (PI) domains were assessed. Expected PROMIS scores were determined by asking patients to indicate the outcomes they were expecting at 12 months postoperatively. Predicted scores were generated from a predictive model validated in the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement (FORCE-TJR) dataset. T-tests were used to compare baseline, expected, and predicted PROMIS scores. Expected scores were compared to PROMIS MCID values obtained from the literature. Regression models were used to identify patient characteristics associated with high expectations. RESULTS: There were 93 patients included. Mean age was 67 years (range, 30 to 85) and 55% were women. Mean baseline PROMIS PF and PI was 34.4 ± 6.7 and 62.2 ± 6.4, respectively. Patients expected significant improvement for PF of 1.9 times the MCID (MCID = 11.3; mean expected improvement = 21.6, 95% confidence interval [CI] 19.6 to 23.5, P < .001) and for PI of 2.3 times the MCID (MCID = 8.9; mean expected improvement = 20.6, 95% CI 19.1-22.2, P < .001). Predicted scores were significantly lower than expected scores (mean difference = 9.5, 95% CI 7.7 to 11.3, P < .001). No unique patient characteristics were associated with high expectations (P > .05). CONCLUSIONS: To our knowledge, this study is the first to quantify preoperative patient expectations using the same metric as MCID to allow for direct comparison. Patient expectations for improvement following TKA are ∼2× greater than MCID and are significantly greater than predicted outcome scores. This discrepancy challenges currently accepted standards of success after TKA and indicates a need for improved expectation setting prior to surgery.

Hydrogen Peroxide Induces Muscle Nociception via Transient Receptor Potential Ankyrin 1 Receptors.

BACKGROUND: H2O2 has a variety of actions in skin wounds but has been rarely studied in deep muscle tissue. Based on response to the transient receptor potential ankyrin 1 antagonists after plantar incision, we hypothesized that H2O2 exerts nociceptive effects via the transient receptor potential ankyrin 1 in muscle. METHODS: Nociceptive behaviors in rats (n = 269) and mice (n = 16) were evaluated after various concentrations and volumes of H2O2 were injected into the gastrocnemius muscle or subcutaneous tissue. The effects of H2O2 on in vivo spinal dorsal horn neuronal activity and lumbar dorsal root ganglia neurons in vitro were evaluated from 26 rats and 6 mice. RESULTS: Intramuscular (mean ± SD: 1,436 ± 513 s) but not subcutaneous (40 ± 58 s) injection of H2O2 (100 mM, 0.6 ml) increased nociceptive time. Conditioned place aversion was evident after intramuscular (-143 ± 81 s) but not subcutaneous (-2 ± 111 s) injection of H2O2. These H2O2-induced behaviors were blocked by transient receptor potential ankyrin 1 antagonists. Intramuscular injection of H2O2 caused sustained in vivo activity of dorsal horn neurons, and H2O2 activated a subset of dorsal root ganglia neurons in vitro. Capsaicin nerve block decreased guarding after plantar incision and reduced nociceptive time after intramuscular H2O2. Nociceptive time after intramuscular H2O2 in transient receptor potential ankyrin 1 knockout mice was shorter (173 ± 156 s) compared with wild-type mice (931 ± 629 s). CONCLUSIONS: The greater response of muscle tissue to H2O2 may help explain why incision that includes deep muscle but not skin incision alone produces spontaneous activity in nociceptive pathways.

A Surgeon's Guide to Understanding Artificial Intelligence and Machine Learning Studies in Orthopaedic Surgery.

PURPOSE OF REVIEW: In recent years, machine learning techniques have been increasingly utilized across medicine, impacting the practice and delivery of healthcare. The data-driven nature of orthopaedic surgery presents many targets for improvement through the use of artificial intelligence, which is reflected in the increasing number of publications in the medical literature. However, the unique methodologies utilized in AI studies can present a barrier to its widespread acceptance and use in orthopaedics. The purpose of our review is to provide a tool that can be used by practitioners to better understand and ultimately leverage AI studies. RECENT FINDINGS: The increasing interest in machine learning across medicine is reflected in a greater utilization of AI in recent medical literature. The process of designing machine learning studies includes study design, model choice, data collection/handling, model development, training, testing, and interpretation. Recent studies leveraging ML in orthopaedics provide useful examples for future research endeavors. This manuscript intends to create a guide discussing the use of machine learning and artificial intelligence in orthopaedic surgery research. Our review outlines the process of creating a machine learning algorithm and discusses the different model types, utilizing examples from recent orthopaedic literature to illustrate the techniques involved.

Determining the incidence and risk factors for short-term complications following distal biceps tendon repair.

BACKGROUND: Distal biceps rupture is a relatively uncommon injury that can significantly affect quality of life. Early complications following biceps tendon repair are not well described in the literature. This study utilizes a national surgical database to determine the incidence of and predictors for short-term complications following distal biceps tendon repair. METHODS: The American College of Surgeons' National Surgical Quality Improvement Program database was used to identify patients undergoing distal biceps repair between January 1, 2011, and December 31, 2017. Patient demographic variables of sex, age, body mass index, American Society of Anesthesiologists class, functional status, and several comorbidities were collected for each patient, along with 30-day postoperative complications. Binary logistic regression was used to calculate risk ratios for these complications using patient predictor variables. RESULTS: Early postoperative surgical complications (0.5%)-which were mostly infections (0.4%)-and medical complications (0.3%) were rare. A readmission risk factor was diabetes (risk ratio [RR], 4.238; 95% confidence interval [CI], 1.180-15.218). Non-home discharge risk factors were smoking (RR, 3.006; 95% CI, 1.123-8.044) and ≥60 years of age (RR, 4.150; 95% CI, 1.611- 10.686). Maleness was protective for medical complications (RR, 0.024; 95% CI, 0.005-0.126). Surgical complication risk factors were obese class II (RR, 4.120; 95% CI, 1.123-15.120), chronic obstructive pulmonary disease (COPD; RR, 21.981; 95% CI, 3.719-129.924), and inpatient surgery (RR, 8.606; 95% CI, 2.266-32.689). CONCLUSIONS: Complication rates after distal biceps repair are low. Various patient demographics, medical comorbidities, and surgical factors were all predictive of short-term complications.

Increased 30-Day Postoperative Readmission and Medical Complication Rates Among Patients 65 Years and Older Following Arthroscopic Rotator Cuff Repair.

Purpose: The purpose of this study is to use a large national database to assess short-term adverse events following arthroscopic rotator cuff repair in patients 65 years and older. Methods: The ACS NSQIP database was queried to identify patients that underwent arthroscopic rotator cuff repair between December 31, 2015, and January 1, 2017. Patients were split into two groups: 1) between 40-65 years old and 2) 65+ years old. Cases involving open rotator cuff repair, total shoulder arthroplasty, hemiarthroplasty, and emergency surgery were excluded. Exact matching was used to control for confounding variables, including sex, body mass index (BMI), American Society of Anesthesiologists (ASA) score, operative time, and several medical comorbidities. After matching, the incidence of several 30-day patient complication measures was compared between the groups. Binary logistic regression was used to identify covariates associated with various 30-day complications. Results: A total of 17,880 patients were included in the study. 69.4% (n = 12,404) patients were between 40 and 65 years old and 30.6% (n = 5,476) patients were 65+ years old. After matching, 9,210 patients were included in the final analysis. After matching, patients 65 years and older were more likely to experience 30-day unplanned readmission (P = .035) and overall medical complications (P = .036). There were no significant differences in most 30-day complication measures, including mortality (P = .250), reoperation (P = .449), non-home discharge (P = .255), surgical complications (P = .146), and several medical complications, including myocardial infarction (P = .165), deep venous thromboembolism (P = .206), pulmonary embolism (P = .196), and cerebrovascular accident (P > .999) between the two age groups. Conclusions: In this matched cohort study, patients 65 years and older experienced a higher rate of 30-day unplanned readmission and overall medical complications following elective arthroscopic rotator cuff repair relative to patients under 65. However, these older patients did not have significantly worse rates of other 30-day complication measures, including mortality, reoperation, return to the OR, and non-home discharge.

Predictive Analysis of Healthcare Resource Utilization after Elective Spine Surgery.

Introduction: The management of degenerative spine pathology continues to be a significant source of costs to the US healthcare system. Besides surgery, utilization of healthcare resources after spine surgery drives costs. The responsibility of managing costs is gradually shifting to patients and providers. Patient-centered predictors of healthcare utilization after elective spine surgery may identify targets for cost reduction and value creation. Therefore, our study aims to quantify patterns of healthcare utilization and identify risk factors that predict high healthcare utilization after elective spine surgery. Methods: A total of 623 patients who underwent elective spine surgery at a tertiary academic medical center by one of three fellowship-trained orthopedic spine surgeons between 2013 and 2018 were identified in this retrospective cohort study. Healthcare utilization was quantified including advanced spine imaging, emergency and urgent care visits, hospital readmission, reoperation, PT/OT referrals, opioid prescriptions, epidural steroid injections, and pain management referrals. Patient variables, namely, the Charlson comorbidity index (CCI) and the American Society of Anesthesiologists (ASA) classification system, were assessed as potential predictors for healthcare utilization. Results: Among all patients, a wide range of health utilization was identified. Age, body mass index, Charlson Comorbidity Index, and American Society of Anesthesiology class were identified as positive predictors of postoperative healthcare utilization including emergency department visits, spine imaging studies, opioid and nerve blocker prescriptions, inpatient rehabilitation, any referrals, and pain management referrals. Conclusions: Markers of patient health-such as CCI and ASA class-may be used to predict healthcare utilization following elective spine surgery. Identifying at-risk patients and addressing these challenges prior to surgery is an important step to deliver efficient postoperative care. Level of Evidence: 3.

The Drivers of Persistent Opioid Use and Its Impact on Healthcare Utilization After Elective Spine Surgery.

STUDY DESIGN: Retrospective cohort study. OBJECTIVE: The aim of this study was to determine the incidence of and risk factors for persistent opioid use after elective cervical and lumbar spine procedures and to quantify postoperative healthcare utilization in this patient population. METHODS: Patients were retrospectively identified who underwent elective spine surgery for either cervical or lumbar degenerative pathology between November 1, 2013, and September 30, 2018, at a single academic center. Patients were split into 2 cohorts, including patients with and without opioid use at 180-days postoperatively. Baseline patient demographics, underlying comorbidities, surgical variables, and preoperative/postoperative opioid use were assessed. Health resource utilization metrics within 1 year postoperatively (ie, imaging studies, emergency and urgent care visits, hospital readmissions, opioid prescriptions, etc.) were compared between these 2 groups. RESULTS: 583 patients met inclusion criteria, of which 16.6% had opioid persistence after surgery. Opioid persistence was associated with ASA score ≥3 (P = .004), diabetes (P = .019), class I obesity (P = .012), and an opioid prescription in the 60 days prior to surgery (P = .006). Independent risk factors for opioid persistence assessed via multivariate regression included multi-level lumbar fusion (RR = 2.957), cervical central stenosis (RR = 2.761), and pre-operative opioid use (RR = 2.668). Opioid persistence was associated with higher rates of health care utilization, including more radiographs (P < .001), computed tomography (CT) scans (.007), magnetic resonance imaging (MRI) studies (P = .014), emergency department (ED) visits (.009), pain medicine referrals (P < .001), and spinal injections (P = .003). CONCLUSIONS: Opioid persistence is associated with higher rates of health care utilization within 1 year after elective spine surgery.

Pregnancy-Associated Perivascular Epithelioid Cell Tumor of the Tarsal Navicular: A Case Report.

CASE: A 30-year-old pregnant woman with perivascular epithelioid cell tumor (PEComa) of the tarsal navicular underwent intralesional curettage with allograft at 30 weeks' gestation. She had an uncomplicated delivery at term and is ambulating without tumor recurrence at 1-year follow-up. CONCLUSION: PEComas are rare tumors most commonly found in soft tissues but have been reported in bone and are occasionally associated with pregnancy. To the best of our knowledge, this is the first reported case of pregnancy-associated PEComa of bone.

The content and accessibility of spine surgery fellowship websites and the North American Spine Surgery (NASS) fellowship directory.

BACKGROUND CONTEXT: The North American Spine Society (NASS) spine fellowship directory is an established resource that provides applicants with access to important information about different fellowship programs. Additionally, some programs have created websites to provide information about their fellowship program. There has been limited research on the amount and breadth of information provided by these different resources. PURPOSE: To assess and compare the scope of information provided by the North American Spine Society (NASS) fellowship directory and individual fellowship program websites. STUDY DESIGN/SETTING: Web Content Accessibility Study. PATIENT SAMPLE: There were no patient data used in this study. All reported data were accessed from public websites and the NASS fellowship directory (August 2022 fellowships). OUTCOME MEASURES: Outcome measures were reported as the presence or lack thereof of 22 topics pertaining to the specifics of each individual spine fellowship program on both the NASS fellowship directory and individual fellowship program websites. METHODS: The NASS fellowship directory (August 2022 fellowships) and individual program websites were evaluated by two independent reviewers. Program websites were identified via Google search with a systematic protocol. Within each platform, the availability of various data were recorded. Twenty-four different data points were assessed for each program and were categorized into four main categories-general program information, fellow profiles, clinical roles, and nonclinical roles of the fellow. Chi-squared tests were used to compare differences in the availability of specific data provided by the NASS fellowship directory and individual program websites. RESULTS: Seventy-four fellowship programs were identified. The NASS fellowship directory was more likely to provide information about the application process, a description of the program, fellow salary, faculty members, case descriptions, and research requirements (p<.05). The program websites were more likely to provide information about current and previous fellows-including a list of current fellow(s), their education/training, and a list of the previous fellows and their job choice (p<.05). Program websites were also more likely to discuss rotation schedules, clinic expectations, research opportunities, journal club, institutional meetings, sponsored national meetings, and current/previous research (p<.05). However, certain information, including specific clinical responsibilities (eg, rotation schedule, call expectations, clinic expectations) and the profiles of current and previous fellows, were not well represented on either platform. CONCLUSIONS: There were significant differences in the type of information provided by the NASS fellowship directory and program websites. Furthermore, there were key pieces of information that were not well represented on either platform.

Postoperative care via smartphone following carpal tunnel release.

INTRODUCTION: This study explores a novel smartphone application for postoperative care following carpal tunnel release (CTR). We hypothesized that a software-based 'virtual visit' for CTR could be safe, effective and convenient for the patient. METHODS: Our group developed the software application utilized in this study. Interactive steps with video instructions enabled patients to complete dressing and suture removal, capture a wound photo, answer a question about median nerve symptoms and capture a video of finger range of motion. Adult patients undergoing endoscopic or open CTR were enrolled. Prior to their scheduled postoperative visit, patients received and completed the module using their smartphone. Agreement between findings of the virtual visit and the corresponding in-person clinical visit was assessed using kappa values. RESULTS: Twenty-two patients were contacted regarding study enrolment and 17 patients were enrolled (ages 23-63, mean 48.2, 6M, 11F). Of 16 patients who participated, all completed dressing removal. Ten of 16 patients removed their sutures successfully. Fourteen patients captured a clinically adequate wound photo and 15 patients answered a question about median nerve symptoms. Fourteen patients captured a range of motion video. Software assessments of surgical wounds, nerve symptoms and physical exams agreed strongly with clinical assessments. DISCUSSION: Most patients were able to respond to a question about their symptoms, provide clinical assessment of their wound via a photo and record a video of their range of motion. Suture removal was the most difficult task. More investigation is needed to determine which patients can reliably remove their sutures.

Unscheduled Clinical Encounters in the Postoperative Period After Adult and Pediatric Urologic Surgery.

OBJECTIVE: To qualify and quantify unscheduled clinical encounters (UCEs) in postoperative urologic patients and to identify patient and procedural risk factors for UCEs. MATERIALS AND METHODS: All UCEs, including phone calls, emails, patient portal messages, clinic visits, ER visits, and hospital readmissions, were analyzed, including the reason for the interaction (eg, pain, infection, etc) were assessed retrospectively for consecutive surgical patients over a 3-month period. Demographic and perioperative data for each patient and surgery was recorded and risk factors for UCE were determined using uni- and multivariate analyses. RESULTS: Approximately 40% of adult and pediatric patients experienced a UCE, the most common being phone calls (adult-68.2%, pediatric-90.0%) for new medical concerns (adult-67.7%, pediatric-58.1%). Risk factors for UCE in the adult population included lower BMI, living closer to the surgical hospital, discharge with catheter/wound packing, higher discharge pain, and open (vs endoscopic) surgery. In the pediatric population, surgery on the urethra/ureter and discharge with catheters predicted for UCE. UCEs led to changes in clinical management (17%, 21%), unplanned clinic visits (12%, 20%), and hospital readmissions (6%, 3%) for both adult and pediatric patients, respectively. CONCLUSION: Nearly 40% of both adult and pediatric patients experienced an unplanned need for the healthcare system in the postoperative period. The effect that UCEs have on overall costs and patient satisfaction, as well as ways to decrease UCEs, require further study.

Acute Periacetabular Osteotomy for Recurrent Posttraumatic Dislocation of the Hip: A Case Report.

CASE: A 23-year-old woman with injury-induced acetabular dysplasia developed subacute recurrent dislocation of the right hip following closed reduction of a traumatic dislocation. The initial dislocation had been associated with small posterior wall and femoral head fractures. The recurrent dislocation was addressed with an acute periacetabular osteotomy (PAO) for hip stabilization and femoral head fragment excision. CONCLUSION: An acute PAO is an unusual yet viable treatment strategy for addressing recurrent dislocation following traumatic fracture-dislocation in patients with posterior wall deficiency and injury-induced hip dysplasia. In the patient described herein, the procedure resulted in early stability, but she developed posttraumatic osteoarthritis at 1 year and 4 months after the injury.

How Socioeconomic Status Affects Patient Perceptions of Health Care: A Qualitative Study.

INTRODUCTION: Clinician perceptions of patients with low socioeconomic status (SES) have been shown to affect clinical decision making and health care delivery in this group. However, it is unknown how and if low SES patients perceive clinician bias might affect their health care. METHODS: In-depth interviews with 80 enrollees in a state Medicaid program were analyzed to identify recurrent themes in their perceptions of care. RESULTS: Most subjects perceived that their SES affected their health care. Common themes included treatment provided, access to care, and patient-provider interaction. DISCUSSION: This study highlights complex perceptions patients have around how SES affects their health care. These results offer opportunities to reduce health care disparities through better understanding of their impact on the individual patient-provider relationship. This work may inform interventions that promote health equity via a multifaceted approach, which targets both providers and the health care system as a whole.