Preoperative Corticosteroid Injections Within 4 Weeks of Arthroscopic Shoulder Procedures Are Associated With Increased Postoperative Infection Rates.

PURPOSE: To refine the understanding of the effect of timing of corticosteroid injections (CSIs) and shoulder arthroscopy on postoperative infection. METHODS: An insurance database was used to determine all patients who underwent shoulder arthroscopy for a 5-year period with an associated preoperative ipsilateral corticosteroid injection. Patients were stratified into cohorts based on timing of preoperative CSI: (1) 0-<2 weeks, (2) 2-<4 weeks, (3) 4-<6 weeks, and (4) 6-<8 weeks. Patients were pooled to include all patients who had a CSI less than 4 weeks and those longer than 4 weeks. A cohort of patients who never had a corticosteroid injection before undergoing arthroscopy were used as a control. All patients had a follow-up of 2 years. Multivariable regression analyses were performed using R Studio with significance defined as P < .05. RESULTS: Multivariate logistic regression showed a greater odds ratio (OR) for postoperative infection in patients who received CSI 0-<2 weeks before shoulder arthroscopy at 90 days (3.10, 95% confidence interval [CI] 1.62-5.57, P < .001), 1 year (2.51, 95% CI 1.46-4.12, P < .001), and 2 years (2.08, 95% CI 1.27-3.28, P = .002) compared with the control group. Patients who received CSI 2-<4 weeks before shoulder arthroscopy had greater OR for infection at 90 days (2.26, 95% CI 1.28-3.83, P = .03), 1 year (1.82, 95% CI 1.13-2,82, P = .01), and 2 years (1.62, 95% CI 1.10-2.47, P = .012). Patients who received CSI after 4 weeks had similar ORs of infection at 90 days (OR 1.15, 95% CI 0.78-1.69, P = .48) 1 year (OR 1.18, 95% CI 0.85-1.63 P = .33), and 2 years (OR 1.09, 95% CI 0.83-1.42, P = .54), compared with the control cohort. CONCLUSIONS: The present study shows the postoperative infection risk is greatest when CSIs are given within 2 weeks of shoulder arthroscopy, whereas CSIs given within 2-<4 weeks also portend increased risk, albeit to a lesser degree. The risk of postoperative infection is not significantly increased when CSIs are given more than 1 month before surgery. LEVEL OF EVIDENCE: Level III, retrospective comparative, prognosis study.

Hand Fractures-Management and the Complications That Inevitably Occur: Metacarpal Fractures.

Metacarpal fractures are among the most common hand fractures. To properly manage these injuries, surgeons must understand the anatomy, biomechanics, clinical assessment, surgical and nonsurgical treatment options, and potential complications. Metacarpal head fractures often require surgical treatment to restore the joint surface by using a variety of techniques. Metacarpal neck fractures are usually stable injuries that do not require surgical intervention, but surgeons must know when surgical intervention is indicated. Fractures of the metacarpal shaft can be treated surgically and nonsurgically and may be associated with large bone defects or soft-tissue injuries that require careful consideration. Finally, fractures involving the carpometacarpal joints must be promptly managed to avoid long-term complications, potentially requiring salvage procedures.

Proximal Interphalangeal Joint Fractures.

Multiple fracture patterns can occur around the proximal interphalangeal joint and require surgeons to have a thorough understanding of the anatomy, clinical and radiographic examination, common fracture patterns, surgical and nonsurgical treatment options, and potential complications. Proximal phalangeal condylar fractures are typically managed surgically, because even nondisplaced fractures have a propensity for displacement. Middle phalangeal base fractures most commonly present as a volar lip fracture with or without dorsal subluxation or dislocation. Treatment options include extension block splinting or pinning, transarticular pinning, open reduction and internal fixation, external fixation, volar plate arthroplasty, and hemihamate arthroplasty. Less common fractures include dorsal lip fractures with or without volar subluxation or dislocation (the central slip fracture), lateral plateau impaction or avulsion injuries, and pilon fractures. The main goals in the management of middle phalangeal base fractures are to restore articular congruency and initial early range of motion, which are more important than obtaining an anatomic reduction.

Pediatric Phalanx Fractures.

Phalangeal fractures are extremely common in the pediatric and adolescent populations. The incidence of phalangeal fractures peaks in children ages 10 to 14 years, corresponding to the age in which children begin contact sports. Younger children are more likely to experience crush injuries, whereas older children often sustain phalangeal fractures during sports. The physis is particularly susceptible to fracture because of the biomechanically weak nature of the physis compared with the surrounding ligaments and bone. Phalangeal fractures are identified through a thorough physical examination and are subsequently confirmed with radiographic evaluation. Management of pediatric phalangeal fractures is dependent on the age of the child, the severity of the injury, and the degree of fracture displacement. Nondisplaced fractures are often managed nonsurgically with immobilization, whereas unstable, displaced fractures may require surgery, which is often a closed rather than open reduction and percutaneous pinning.

Open versus arthroscopic treatment of the rheumatoid elbow arthritis: a comparison of complications at two years utilizing a nationally representative database.

PURPOSE: Symptomatic rheumatoid arthritis (RA) can be addressed surgically with open procedures or elbow arthroscopy. Previous studies comparing outcomes of open to arthroscopic arthrolysis for the management of RA did not utilize a large database study. The aim was to compare demographics and two-year complications, in RA patients undergoing open or arthroscopic elbow arthrolysis. METHODS: A retrospective, cohort study was performed utilizing a private, nationwide, all-payer database. We queried the database to identify patients undergoing open (n = 578) or arthroscopic (n = 379) arthrolysis for elbow RA. The primary goal of the study was to compare complications at two-years. Categorical variables were assessed utilizing the chi-squared test; while, continuous variables were analyzed using the Student's t-test. Multivariable logistic regression was performed to assess risk factors for infection following open or arthroscopic arthrolysis. RESULTS: RA patients undergoing open elbow arthrolysis were older (55 vs. 49 years, p < 0.001), predominately female (61.6% vs 60.9%, p = 0.895), and likely to have chronic kidney disease (20.4 vs. 12.9%), and DM (45.2 vs. 32.2%) (both p < 0.005). Open elbow arthrolysis was also associated with higher rates of infection (31.7 vs. 4.7%) and wound complications (26.8 vs. 3.4%) (both p = 0.001). Nerve injury rates were found to be similar (8.3 vs. 9.0%, p = 0.81). On multivariable logistic regression, open elbow procedures were associated with the highest risk for infection (OR: 8.43). CONCLUSIONS: Patients undergoing open arthrolysis for RA were at a higher risk of infection and wound complications compared to arthroscopic arthrolysis utilizing a nationally representative database. While there appears to be a difference in outcomes following these two procedures, higher level evidence is needed to draw more definitive conclusions. LEVEL OF EVIDENCE: Retrospective, Level III.

Does needle penetration of the shoulder joint prior to arthroscopy increase infection risk? The effect of preoperative magnetic resonance arthrogram or corticosteroid injection.

BACKGROUND: Prior literature has associated preoperative corticosteroid shoulder injection (CSI) with infection following shoulder surgery. A recent study found an equally elevated risk of total knee arthroplasty infection with preoperative injection of either CSI or hyaluronic acid. The implication is that violation of a joint prior to surgery, even in the absence of corticosteroid, may pose an elevated risk of infection following orthopedic surgery. The aim of the present study was to determine whether violation of the shoulder joint for magnetic resonance arthrogram (MRA) poses an elevated risk of infection following shoulder arthroscopy, and to compare this risk to that introduced by preoperative CSI. METHODS: A national, all-payer database was queried to identify patients undergoing shoulder arthroscopy between January 2015 and October 2020. Patients were stratified into the following groups: (1) no CSI or MRA within 6 months of surgery (n = 5000), (2) CSI within 2 weeks of surgery (n = 1055), (3) CSI between 2 and 4 weeks prior to surgery (n = 2575), (4) MRA within 2 weeks of surgery (n = 414), and (5) MRA between 2 and 4 weeks prior to surgery (n = 1138). Postoperative infection (septic shoulder or surgical site infection) was analyzed at 90 days, 1 year, and 2 years, postoperatively. Multivariable logistic regression analysis controlled for differences among groups. RESULTS: MRA within 2 weeks prior to shoulder surgery was associated with an increased risk of infection at 1 year (odds ratio [OR], 2.17; P = .007), while MRA 2-4 weeks preceding surgery was not associated with an increased risk of postoperative infection at any time point. By comparison, CSI within 2 weeks prior to surgery was associated with an increased risk of postoperative infection at 90 days (OR, 1.72; P = .022), 1 year (OR, 1.65; P = .005), and 2 years (OR, 1.63; P = .002) following surgery. Similarly, CSI 2-4 weeks prior to surgery was associated with an increased risk of postoperative infection at 90 days (OR, 1.83; P < .001), 1 year (OR, 1.62; P < .001), and 2 years (OR, 1.79; P < .001). CONCLUSION: Preoperative CSI within 4 weeks of shoulder arthroscopy elevates the risk of postoperative infection. Needle arthrotomy for shoulder MRA elevates the risk of infection in a more limited fashion. Avoidance of MRA within 2 weeks of shoulder arthroscopy may mitigate postoperative infection risk. Additionally, the association between preoperative CSI and postoperative infection may be more attributed to medication profile than to needle arthrotomy.

Increased actual sling wear is associated with better early patient-reported and image-based outcomes after shoulder surgery.

BACKGROUND: Prior studies have failed to show differences in functional outcomes for patient-reported sling use after rotator cuff repair. Temperature-sensing devices are used to more accurately measure brace adherence. The purposes of this study were to quantify actual sling adherence and its predictors and to establish whether increased sling adherence is associated with improved functional and image-based outcomes. METHODS: We performed a prospective cohort study of 65 patients undergoing shoulder surgery requiring ≥4 weeks of postoperative sling use. Temperature-sensing devices were implanted in the slings to monitor sling adherence. Patient-reported sling adherence was determined from a questionnaire. Patients were considered 80% adherent if they wore the sling 16 h/d (112 h/week) when 20 h/d was prescribed. The primary outcomes were patient-reported and actual sling adherence, patient-reported outcomes (American Shoulder and Elbow Surgeons score and visual analog scale pain score) within 12 months postoperatively, and image-based failure based on ultrasound or radiography at 6 weeks and 1 year postoperatively. RESULTS: Patient-reported sling adherence was highly sensitive (82.8%), was poorly specific (28.6%), had low accuracy (53.1%), and was weakly correlated with actual sling adherence (r = 0.32, P = .009). On multivariable logistic regression analysis, male patients were 91% less likely than female patients to be adherent with sling use (odds ratio, 0.09; 95% confidence interval [CI], 0.02-0.42; P = .002). Additionally, obese and morbidly obese patients were 88% (95% CI, 0.02-0.84; P = .033) and 98% (95% CI, 0.002-0.27; P = .003), respectively, less likely than non-obese patients to adhere to sling wear postoperatively. After we controlled for surgical procedure, visual analog scale pain scores were significantly better at 6 weeks (ß = -1.47; 95% CI, -2.88 to -0.05; P = .04) and 3 months (ß = -1.68; 95% CI, -3.28 to -0.08; P = .04) if patients adhered to sling wear. A receiver operating characteristic curve showed that 13.6 hours and 15.4 hours of daily sling wear optimized image-based outcomes at 6 weeks (failure rate, 0% vs. 16%; P = .01) and 1 year (failure rate, 3% vs. 28%; P = .008) postoperatively, respectively. CONCLUSION: The results of this study demonstrate that patient-reported sling adherence is unreliable, adherence can be predicted by female sex and lower body mass index, and increased sling adherence is associated with improved early pain scores and image-based outcomes. These data can help inform future studies using postoperative sling protocols as patient-reported sling adherence is not an accurate method to assess sling use.

Does timing matter? The effect of preoperative smoking cessation on the risk of infection or revision following rotator cuff repair.

BACKGROUND: Nicotine in tobacco products is known to impair bone and tendon healing, and smoking has been associated with an increased rate of retear and reoperation following rotator cuff repair (RCR). Although smoking is known to increase the risk of failure following RCR, former smoking status and the timing of preoperative smoking cessation have not previously been investigated. METHODS: A national all-payer database was queried for patients undergoing RCR between 2010 and 2020. Patients were stratified into 5 mutually exclusive groups according to smoking history: (1) never smokers (n = 50,000), (2) current smokers (n = 28,291), (3) former smokers with smoking cessation 3-6 months preoperatively (n = 34,513), (4) former smokers with smoking cessation 6-12 months preoperatively (n = 786), and (5) former smokers with smoking cessation >12 months preoperatively (n = 1399). The risks of postoperative infection and revision surgery were assessed at 90 days, 1 year, and 2 years following surgery. Multivariate logistic regressions were used to isolate and evaluate risk factors for postoperative complications. RESULTS: The 90-day rate of infection following RCR was 0.28% in never smokers compared with 0.51% in current smokers and 0.52% in former smokers who quit smoking 3-6 months prior to surgery (P < .001). Multivariate logistic regression identified smoking (odds ratio [OR], 1.49; P < .001) and smoking cessation 3-6 months prior to surgery (OR, 1.56; P < .001) as risk factors for 90-day infection. The elevated risk in these groups persisted at 1 and 2 years postoperatively. However, smoking cessation >6 months prior to surgery was not associated with a significant elevation in infection risk. In addition, smoking was associated with an elevated 90-day revision risk (OR, 1.22; P = .038), as was smoking cessation between 3 and 6 months prior to surgery (OR, 1.19; P = .048). The elevated risk in these groups persisted at 1 and 2 years postoperatively. Smoking cessation >6 months prior to surgery was not associated with a statistically significant elevation in revision risk. CONCLUSION: Current smokers and former smokers who quit smoking within 6 months of RCR are at an elevated risk of postoperative infection and revision surgery at 90 days, 1 year, and 2 years postoperatively compared with never smokers. Former smokers who quit >6 months prior to RCR are not at a detectably elevated risk of infection or revision surgery compared with those who have never smoked.

Acromion morphology is associated with glenoid bone loss in posterior glenohumeral instability.

BACKGROUND: The acromion morphology in a shoulder with posterior instability differs from that of a shoulder without glenohumeral instability. Specifically, the acromion with a flatter sagittal tilt, greater posterior acromial height, and less posterior coverage is associated with posterior instability. However, the association between acromion morphology and glenoid bone loss (GBL) in the setting of posterior glenohumeral instability has not previously been investigated. The purpose of this study was to determine whether acromial morphology influences the extent or pattern of posterior GBL in a cohort of patients with posterior glenohumeral instability. METHODS: This multicenter retrospective study identified 89 shoulders with unidirectional posterior glenohumeral instability. Total area GBL was measured using the best-fit circle method on magnetic resonance imaging (MRI). Shoulders were divided into 3 groups: (1) no GBL (n = 30), (2) GBL 0%-13.5% (n = 45), or (3) GBL ≥13.5% (n = 14). Acromion measurements were performed on MRI and included acromial tilt, posterior acromial height, anterior acromial coverage, and posterior acromial coverage. RESULTS: Patients without GBL had a steeper acromial tilt (58.5° ± 1.4°) compared with those with 0%-13.5% GBL (64.3° ± 1.5°) or GBL ≥13.5% (67.7° ± 1.8°) (P = .004). Patients without GBL also had greater posterior coverage (65.4° ± 1.7°) compared with those with GBL (60.3° ± 1.4°) (P = .015). Posterior acromion height was not significantly different among groups. CONCLUSION: The results demonstrate that an acromion with a flatter sagittal tilt and less posterior coverage is associated with GBL in the setting of posterior glenohumeral instability. This is important to consider as posterior GBL has been identified as a risk factor for failure of posterior soft tissue-stabilizing procedures.

An accurate method of measuring shoulder sling compliance: a validation study.

BACKGROUND: The effect of postoperative shoulder sling compliance on surgical outcomes is unknown. The goal was to determine an accurate method to measure sling compliance. We compared volunteer recorded sling wear time with temperature-based sensors to monitor sling compliance. METHODS: Data loggers sutured at three locations measured heat generated in 15-minute intervals. Slings wearers logged sling wear to accurately cross-reference with temperature sensors. Secondary experiments analyzed whether surrounding ambient temperature can be discerned from actual sling wear. We created an algorithm to describe actual sling wear time as a function of heat recorded and calculated percent wear accuracy. RESULTS: The modified sling was worn for 172 h. The algorithm modeled sling on/off times by analyzing cutoff temperatures. Diagnostic accuracy was >99 % for the three locations, with no statistically significant differences among them. Compared with sling wear, ambient temperature took longer to reach critical temperature values determined by the algorithm, helping distinguish compliance from false positives. CONCLUSIONS: The described algorithm can effectively quantify shoulder sling wear time based on heat-generated sensor readings. False positives from ambient temperature are minimal. This measurement method could be used to study the relationship between postoperative sling use and functional outcomes after shoulder surgery.

Increased morphine requirements are predictive of acute compartment syndrome in adults with tibia fractures.

PURPOSE: The purpose of this study was to determine if increased milligram morphine equivalent (MME) requirements are a predictor of adult compartment syndrome in patients with tibia fractures. METHODS: A retrospective case-control study at a level-1 trauma center was performed over a five year period. Patients with tibia fractures who had acute compartment syndrome (ACS) requiring fasciotomy (n = 26) were matched with controls (n = 25). MME and pain scores were assessed within the 24 hour period preceding fasciotomy (cases) or fixation (controls). The presence or absence of the "6 Ps" and other clinical signs (diastolic blood pressure [DBP]) were also analyzed. RESULTS: Mean MMEs two hours before surgery was 25.5 ± 39.2 for ACS patients versus 8.6 ± 11.1 in controls (P = 0.043), while the mean pain scores were 8.8 ± 1.8 and 7.0 ± 2.5 (P = 0.049), respectively. Multivariable regression showed patients with ACS consumed 16.9 MME more than controls within two hours of surgery (P = 0.043) and scored 1.8 points higher on the numeric pain rating scale (P = 0.049). The mean number of clinical signs of compartment syndrome in the ACS patients was 3.4 ± 1.3 compared to 0.84 ± 0.85 in controls (P < 0.001). DBP was significantly higher in ACS patients within two to four hours of surgery (P = 0.005). CONCLUSION: Increased MME requirements and pain scores within two hours of surgery were significant predictors of ACS following tibia fracture. Increased narcotic requirements, pain scores, and DBP may be useful objective indicators of evolving ACS, in addition to the traditional signs, and should be closely monitored in the at-risk patient.

The Performance of a Customized Generative Pre-trained Transformer on the American Society for Surgery of the Hand Self-Assessment Examination.

INTRODUCTION:  Multimodal large language models (MLLMs), such as OpenAI's ChatGPT (San Francisco, CA), have the potential to improve medical care delivery and education, although important shortcomings in accuracy and image interpretation have been noted. The aim of this study was to assess the multimodal performance of a ChatGPT model customized with hand surgery-specific knowledge. METHODS: A customized generative pre-trained transformer (GPT) was trained using peer-reviewed literature recommended by the American Society for Surgery of the Hand (ASSH). Questions were taken from the ASSH 2022 Self-Assessment Examination (SAE). GPT-4 and the customized GPT were asked text-based multiple-choice questions. The customized GPT was also asked image-containing questions, both with and without access to the image(s) associated with each question. RESULTS:  A total of 192 questions were included. The customized GPT responded to the 119 text-only questions with greater accuracy than GPT-4 (107 (89.9%) versus 91 (76.5%), P = 0.001). Human examinees answered 87.3% (IQR: 71.6-93.7%) of the same text-based questions correctly. Of the 73 questions with images, the customized GPT answered 55 (75.3%) questions correctly, which dropped to 51 (69.9%) when the images were withheld (P = 0.317). The human examinees answered 87.2% (IQR: 79.4-95.4%) of image-based questions correctly. CONCLUSION:  Our findings suggest significant improvements in ChatGPT's ability to answer text-based hand surgery questions with hand-specific training. ChatGPT is still limited in its ability to interpret images to answer questions related to hand conditions. These data show hand surgeons can create customized GPT models to provide tailored answers to specific questions, which may serve as the foundation for educational and clinical tools.

Preoperative opioid use is associated with worse two-year patient-reported outcomes after hand surgery: A retrospective cohort study.

Introduction: Opioid overprescribing has caused a substantial increase in opioid related deaths and billions of dollars in additional healthcare costs. Orthopaedic surgeons commonly prescribe opioids in the perioperative period; however, research has shown preoperative opioid use may be associated with worse postoperative outcomes. Despite this body of evidence, there are few studies investigating the association between preoperative opioid use and two-year outcomes after hand surgery. Materials and methods: This study evaluated two-year postoperative patient-reported outcomes in patients who used opioids prior to hand surgery, and those who did not. Patients completed pre and postoperative questionnaires including Patient-Reported Outcomes Measurement Information System (PROMIS) domains, the Brief Michigan Hand Questionnaire (BMHQ), and other questionnaires related to pain, function, and satisfaction. 342 patients undergoing upper-extremity surgery were enrolled into a prospective orthopaedic surgery outcome registry, and 69.9% completed the follow-up surveys. Preoperative opioid use and its association to patient outcome scores was analyzed through bivariate analysis. Significant associations were further tested by multivariable analysis to determine independent predictors. Results: Preoperative opioid use was associated with worse two-year PROMIS Fatigue (p â€‹< â€‹.01), PROMIS Anxiety (p â€‹< â€‹.01), PROMIS Depression (p â€‹< â€‹.01), SSQ-8 (p â€‹= â€‹.01), BMHQ (p â€‹= â€‹.01), NPS Hand (p â€‹< â€‹.01) and MODEMS met expectations (p â€‹= â€‹.03). No significant differences were observed in patient-reported outcome change scores. Multivariable analysis demonstrated that preoperative opioid use was predictive of worse two-year PROMIS Fatigue (p â€‹< â€‹.01), PROMIS Anxiety (p â€‹< â€‹.01), PROMIS Depression (p â€‹= â€‹.02), BMHQ (p â€‹= â€‹.01), SSQ-8 (p â€‹< â€‹.01), NPS Hand (p â€‹= â€‹.02) and MODEMS met expectations (p â€‹< â€‹.01). Conclusion: Preoperative opioid use was associated with worse patient-reported outcomes two years after elective hand surgery. There was no significant difference in the improvement from baseline between the two groups. Clinically significant differences were observed in follow-up PROMIS Anxiety, BMHQ and NPS - Hand scores. Clinically significant change scores were noted in both groups for PROMIS PF, PROMIS PI, PROMIS SS, BMHQ, and NPS - Hand.

The Performance of ChatGPT on the American Society for Surgery of the Hand Self-Assessment Examination.

BACKGROUND: This study aims to compare the performance of ChatGPT-3.5 (GPT-3.5) and ChatGPT-4 (GPT-4) on the American Society for Surgery of the Hand (ASSH) Self-Assessment Examination (SAE) to determine their potential as educational tools. METHODS: This study assessed the proportion of correct answers to text-based questions on the 2021 and 2022 ASSH SAE between untrained ChatGPT versions. Secondary analyses assessed the performance of ChatGPT based on question difficulty and question category. The outcomes of ChatGPT were compared with the performance of actual examinees on the ASSH SAE. RESULTS: A total of 238 questions were included in the analysis. Compared with GPT-3.5, GPT-4 provided significantly more correct answers overall (58.0% versus 68.9%, respectively; P = 0.013), on the 2022 SAE (55.9% versus 72.9%; P = 0.007), and more difficult questions (48.8% versus 63.6%; P = 0.02). In a multivariable logistic regression analysis, correct answers were predicted by GPT-4 (odds ratio [OR], 1.66; P = 0.011), increased question difficulty (OR, 0.59; P = 0.009), Bone and Joint questions (OR, 0.18; P < 0.001), and Soft Tissue questions (OR, 0.30; P = 0.013). Actual examinees scored a mean of 21.6% above GPT-3.5 and 10.7% above GPT-4. The mean percentage of correct answers by actual examinees was significantly higher for correct (versus incorrect) ChatGPT answers. CONCLUSIONS: GPT-4 demonstrated improved performance over GPT-3.5 on the ASSH SAE, especially on more difficult questions. Actual examinees scored higher than both versions of ChatGPT, but the margin was cut in half by GPT-4.

Validation of Temperature Sensors to Monitor Thermoplastic Splint Wear in Hand Surgery Patients.

BACKGROUND: The aim of this study was to validate the use of temperature sensors to accurately measure thermoplastic volar forearm splint wear in a healthy cohort of volunteers using 5- and 15-minute temperature measurement intervals. METHODS: A prospective diagnostic study was performed to evaluate the diagnostic accuracy of temperature sensors in monitoring splint wear in 8 healthy volunteers between December 2022 and June 2023. Temperature sensors were molded into thermoplastic volar forearm splints. Volunteers who were familiar with the study aims were asked to keep an exact log of the time spent wearing the splint ("actual wear time"). Sensors recorded temperatures every 5 or 15 minutes, and separate algorithms were developed to determine the sensor-detected wear time compared with the actual wear time as the gold standard. The algorithms were then externally validated with the total population. RESULTS: The 5-minute and 15-minute algorithms demonstrated excellent sensitivity (99.1% vs 96.6%), specificity (99.9% vs 99.9%), positive (99.4% vs 99.5%) and negative (99.9% vs 99.3%) predictive value, and diagnostic accuracy (99.8% vs 99.3%), respectively. The 5-minute algorithm recorded 99.5% of the total splint hours, whereas the 15-minute algorithm recorded 96.1%. There was no significant difference between the actual time per wear session (5.4 ± 2.7 hours) and the time estimated by the 5-minute algorithm (5.4 ± 2.6 hours; P = .40), but there was a significant difference for the 15-minute algorithm (5.2 ± 2.6 hours; P < .001). CONCLUSION: Temperature sensors can be used to accurately monitor thermoplastic volar forearm splint wear. LEVEL OF EVIDENCE: Diagnostic II.

Response Bias for Press Ganey Ambulatory Surgery Surveys after Knee Surgery.

The Press Ganey Ambulatory Surgery (PGAS) survey is an emerging tool used to capture patient satisfaction after elective surgery. Evaluating patient satisfaction is important; however, quality improvement (QI) surveys used to capture the patient experience may be subject to nonresponse bias. An orthopaedic registry was used to retrospectively identify patients who underwent ambulatory knee surgery from June 2015 to December 2019. Multivariable logistic regression was performed to identify independent predictors of PGAS survey nonresponse and response. In the cohort of 1,161 patients, 142 (12.2%) completed the PGAS survey. Multiple logistic regression demonstrated that male sex, Black race, not living with a caretaker, student or unemployment status, and worse preoperative Patient-Reported Outcomes Measurement Information System (PROMIS) fatigue were predictors of nonresponse. The results of this study highlight the presence of nonresponse bias in the PGAS survey after elective knee surgery.

The Effect of Patients' Understanding of Sling Necessity and Home Assistance on Sling Wear After Shoulder Surgery.

BACKGROUND: Perioperative education and socioeconomic factors influence patient behavior. Recent evidence has suggested that sling compliance is associated with improved outcomes after shoulder surgery; it is important to investigate factors that influence sling compliance. PURPOSE: To determine the associations between postoperative sling wear and patients' understanding of sling necessity, postoperative home assistance, and social deprivation. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: A total of 66 patients were prospectively enrolled from 2018 to 2020 if they were ≥18 years of age and undergoing shoulder surgery requiring a sling for at least 1 month postoperatively. Sling wear was measured using a temperature-sensing device. At 6 weeks postoperatively, patients' understanding for sling necessity was determined by their response to a question on the Medical Adherence Measure questionnaire, "Why did you have to wear a shoulder sling?" The Patient Understanding Grading Scale (PUGS) was developed to quantify patient responses. PUGS was graded 1 to 3, with grade 1 corresponding to the least technical knowledge. Patient characteristics, social deprivation (Area Deprivation Index [ADI]), and home assistance were additionally analyzed. RESULTS: There were no significant differences in baseline characteristics between patients when stratified by PUGS grade. Multivariable linear regression analysis for total hours of sling wear per week showed that patients with PUGS grade 2 (ß, 48.2 hours; P = .007) and grade 3 (ß, 59.5 hours; P = .003) wore their slings significantly more than grade 1 patients. Patients with home assistance had significantly greater day hours (73.5 ± 33.0 vs 44.0 ± 24.5 hours; P = .037) of sling wear per week, but there was no difference in night sling hours. Patients older than 60 years wore their slings significantly more, while men and those with a higher body mass index (BMI) wore their slings significantly less. ADI was not significantly associated with sling wear. CONCLUSION: This study demonstrates that patients with greater understanding for sling necessity, those with home assistance, and patients >60 years have greater sling wear, while male patients and those with a higher BMI have lower sling compliance. ADI was not a significant contributor.

Glenoid Bone Loss Pattern in Patients With Posterior Instability Versus Anterior Instability: A Matched Cohort Study.

Background: The pattern of glenoid bone loss (GBL) in anterior glenohumeral instability is well described. It was recognized recently that posterior GBL after instability has a posteroinferior pattern. Purpose/Hypothesis: The purpose of this study was to compare GBL patterns in a matched cohort of patients with anterior versus posterior glenohumeral instability. The hypothesis was that the GBL pattern in posterior instability would be more inferior than the GBL pattern in anterior instability. Study Design: Cohort study; Level of evidence, 3. Methods: In this multicenter retrospective study, 28 patients with posterior instability were matched with 28 patients with anterior instability by age, sex and number of instability events. GBL location was defined using a clockface model. Obliquity was defined as the angle between the long axis of the glenoid and a line tangent to the GBL. Superior and inferior GBL were measured as areas and defined relative to the equator. The primary outcome was the 2-dimensional characterization of posterior versus anterior GBL. The secondary outcome was a comparison of the posterior GBL patterns in traumatic and atraumatic instability mechanisms in an expanded cohort of 42 patients. Results: The mean age of the matched cohorts (n = 56) was 25.2 ± 9.87 years. The median obliquity of GBL was 27.53° (interquartile range [IQR], 18.83°-47.38°) in the posterior cohort and 9.28° (IQR, 6.68°-15.75°) in the anterior cohort (P < .001). The mean superior-to-inferior bone loss ratio was 0.48 ± 0.51 in the posterior cohort and 0.80 ± 0.55 (P = .032) in the anterior cohort. In the expanded posterior instability cohort (n = 42), patients with traumatic injury mechanism (n = 22), had a similar GBL obliquity compared to patients with an atraumatic injury mechanism (n = 20) (mean, 27.73° [95% CI, 20.26°-35.20°] vs 32.20° [95% CI, 21.27°-43.14°], respectively) (P = .49). Conclusion: Posterior GBL occurred more inferiorly and at an increased obliquity compared with anterior GBL. This pattern is consistent for traumatic and atraumatic posterior GBL. Bone loss along the equator may not be the most reliable predictor of posterior instability, and critical bone loss may be reached more rapidly than a model of loss along the equator may predict.

Preoperative Factors Associated with Press Ganey Patient Satisfaction Scores after Anterior Cruciate Ligament Reconstruction.

Patient satisfaction is increasingly used as a metric to evaluate the quality of healthcare services and to determine hospital and physician compensation. The aim of this study was to identify preoperative factors associated with Press Ganey Ambulatory Surgery (PGAS) satisfaction scores, and to evaluate the effect of each PGAS domain score on the total PGAS score variability in patients undergoing anterior cruciate ligament reconstruction (ACLR). A review of a Press Ganey (PG) database at a single center was performed for patients undergoing ACLR between 2015 and 2019. Ninety-nine patients completed the PGAS survey and 54 also completed preoperative demographic and patient-reported outcome measures (PROMs) for an orthopaedic registry. PGAS scores were calculated and bivariate analysis was performed. Multivariable linear regression determined the effect of each of the six PGAS domains on the total PGAS score variability. In the total cohort of 99 patients, no factors were significantly associated with the total PGAS score or any domain scores. For the 54 patients who also participated in the orthopaedic registry, none of the preoperative PROMs were significantly correlated with total PGAS score. However, having a college degree (89 vs. 95 or 97 points; p = 0.02) and continuous femoral nerve catheter (92 vs. 100 points; p = 0.04) was associated with lower personal issue domain scores, while patients with a greater number of prior surgeries had worse registration domain scores (ρ = -0.27; p = 0.049). For the entire cohort, the registration and facility domains contributed the most variability to the total PGAS score, while the physician domain contributed the least. Few preoperative factors are associated with PGAS scores, and total PGAS scores do not significantly correlate with baseline PROMs. Surgeons may have limited ability to improve their PGAS scores given most of the variability in total scores stems from systemic aspects of the patient experience.

Discharge Opioid Prescribing Patterns in an Academic Orthopaedic Setting: Level of Training and Subspecialty Patterns.

INTRODUCTION: Despite increased research on opioids in the orthopaedic literature, little is known of the prescribing practices of orthopaedic providers based on their level of training. The purpose of this study was to describe the discharge opioid prescribing patterns of orthopaedic providers, stratifying by level of training and orthopaedic subspecialty, within a single medical system. METHODS: A retrospective review of orthopaedic surgical encounters was performed over a 1-year period for adults who received a discharge opioid prescription. Patient demographics and prescriber characteristics were collected, including the provider's level of training (attending, fellow, resident, physician assistant [PA], and nurse practitioner [NP]) and surgical subspecialty. Junior residents were postgraduate year 1 to 3, whereas senior residents/fellows were postgraduate year 4 to 6. Discharge opioids were converted to milligram morphine equivalents (MMEs). Overprescribing was defined as a prescribing more than a seven-day supply or >45 MMEs per day. Multivariable linear regression analysis determined the factors associated with discharge MMEs, whereas logistic regression determined the factors associated with overprescribing opioids. RESULTS: Of the 3,786 patients reviewed, 1,500 met the criteria for inclusion in the study. The greatest proportion of opioid prescriptions was written by junior residents (33.9%), followed by NPs (30.1%), PAs (24.1%), senior residents/fellows (10.6%), and attendings (1.2%). Compared with junior residents, senior residents prescribed -59.4 MMEs, NPs prescribed +104 MMEs, and attendings prescribed +168 MMEs (P < 0.05), whereas PAs prescribed similar amounts (P > 0.05). Orthopaedic subspecialty was also predictive of discharge MMEs (P < 0.05). Senior residents and attendings were more likely to prescribe more than seven days of opioids (P < 0.05), whereas NPs and PAs were more likely to prescribe >45 MMEs per day (P < 0.05). DISCUSSION: This study demonstrates significant variability in opioid prescribing practices according to provider level of training and subspecialty. National guidelines for opioid prescribing practices and educational programs may help reduce such variability. LEVEL OF EVIDENCE: Level III, retrospective cohort study.