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Purpose: The Covid-19 pandemic is a public health emergency with both physical and mental health risks. Medical students have baseline elevated rates of anxiety, depression and burnout. As such, they may be especially susceptible to the psychological stresses of Covid-19. The current study aimed to evaluate the prevalence of anxiety and depression among United States medical students during the Covid-19 pandemic. Methods: A cross-sectional, survey-based study collected demographic data as well as the 7-item Generalized Anxiety Disorder (GAD-7) and the 9-item Patient Health Questionnaire (PHQ-9) to assess anxiety and depression symptoms, respectively. The survey was administered from April 13, 2020 to April 28, 2020 amidst the height of the Covid-19 pandemic. Results: A total of 1,428 students from 40 US medical schools completed the survey. From those surveyed, 30.6% and 24.3% of respondents screened positive for anxiety and depression, respectively. Median GAD-7 scores were higher among females (7.0 vs 5.0, P < .00001), pre-clinical students (7.0 vs 6.0, P < .00004), and those with a friend or relative diagnosed with Covid-19 (7.0 vs 6.0, P=.001). Median PHQ-9 scores were higher among females (6.0 vs 4.0, P < .00001) and pre-clinical students (6.0 vs 4.0, P < .00001). Conclusion: When compared to previous medical student studies, these results are 61% higher for anxiety and 70% higher for depression during the Covid-19 era. The current study suggests that there should be a heightened awareness of and sensitivity to student’s mental health during the Covid-19 pandemic with certain cohorts at greater potential risk.

OBJECTIVES Over the years, medical schools have evolved their curricula in response to the medical field, faculty, and students. The current study aims to examine how medical students study, what resources they most commonly use, and how it relates to United States Medical Licensing Examination (USMLE) Step 1 scores. METHODS A cross-sectional survey study of United States medical students was distributed via social media, GroupMe school chats, and school listservs from September 8, 2020, to December 12, 2020. The survey gathered data including, demographic and school information, resources students, time spent using each resource, and USMLE Step 1 scores. RESULTS The survey was completed by 560 students from 102 different United States medical schools. Study guides as online resources (83.2%) were mostly used, lecture (82.5%), Anki (spaced repetition flashcards, 68.3%), and school-organized sessions (workshops, labs, and small groups) (60.7%). Of the students surveyed, 90% attended schools with a recorded lecture option. Only 54% of these students watched their lectures live. When watched online, the average watching speed was 1.75 ± 0.4× with a mode of 2× speed. In examining different medical school styles, schools with a 1.5-year preclinical curriculum had higher USMLE Step 1 scores (244.5 ± 15.6 vs 236.9 ± 16.2, P-score = .024) compared to schools that did not (1- or 2-year preclinical curriculum). CONCLUSION Medical students seem to be using third-party resources in addition to their medical school curriculums. Because students are already broadly using these, medical schools could allow their curriculums to reference, require, or complement third-party online resources. Additionally, because of their increased cost, medical schools could consider ways to alleviate the cost on medical students as a means of equitable support. Lastly, Step 1 scores significantly correlated with schools with a 1.5-year preclinical curriculum, although the exact reasoning for this remains uncertain.

Purpose The United States Medical Licensing Examination (USMLE) Step 1 exam changed from a 3-digit score format to pass/fail in 2022. The current study aimed to examine how medical students perceive this change, factors associated with those perceptions, and determine their preferred exam scoring format. Design and Methods A cross-sectional survey of US medical students was distributed from March through June 2024. The survey gathered data including demographic and school information, desired specialty, research involvement, and Step 1 scoring preference. Results The survey was completed by 192 students from 18 different US allopathic schools. Of students surveyed, 65.5% preferred pass/fail scoring, while 34.5% preferred a 3-digit-score format. Older age increased likelihood of preferring a 3-digit score (β = 0.345, P = .047, odds ratio [OR] 1.41). A later graduation year decreased the likelihood of preferring a 3-digit score (β = −0.576, P = .020, OR 0.56). Gender (β = 0.293, P = .320, OR 1.34), specialty competitiveness (β = −0.095, P = .776, OR 1.10), and research productivity (β = 0.0047, P = .990, OR 1.00) had no significant effect on Step 1 scoring preference. Conclusion Medical students seem to prefer a pass/fail Step 1 regardless of gender, desired specialty and research productivity. However, pass/fail preference differed by graduating class year and age, with younger class years and students preferring pass/fail. While prior literature largely surveyed preference among medical educators, student sentiment on Step 1 scoring supports recent changes to the USMLE Step score format.

Study Design Retrospective cohort study. Objectives Gabapentinoids have been increasingly studied as a non-narcotic option for neuropathic and postoperative pain. However, there is evidence suggesting that off-label use of these medications for the treatment of isolated LBP is not effective. The purpose of the current study was to evaluate prescription patterns for gabapentinoids among patients with isolated low back pain. Methods Adult patients with LBP were abstracted from the 2019 M91Ortho PearlDiver dataset using International Classification of Diseases (ICD-10) code M54.5. Patients were excluded if they had a diagnosis of neurologic symptoms, history of spinal surgery, spinal fracture, or conditions for which gabapentinoids are FDA approved. Gabapentinoid and narcotic prescriptions within one year of LBP diagnosis were identified. Patient characteristics and prescriber specialty were extracted from the dataset and predictors of gabapentinoid prescriptions were determined using univariate and multivariate analyses. Results Among the 1,158,875 isolated LBP patients, gabapentinoids were prescribed for 11%, narcotics for 8%, and both for 3%. The most common prescriber specialties included: primary care physicians (45%), nurse practitioners (15%), and pain management physicians (5%). Independent predictors of gabapentinoid prescriptions included: female sex, region of the country, and insurance type (P-values <.001). Conclusions Of nearly 1.2 million patients with isolated LBP, 14.2% were prescribed gabapentinoids within one year of their LBP diagnosis. Patient characteristics predictive of receiving gabapentinoids were predominantly non-clinical factors.

Background: Anterior cruciate ligament reconstruction (ACLR) is a commonly performed orthopaedic procedure. As the number of ACLRs continues to increase in incidence, understanding the variability and drivers of cost to the health care system may help target cost-saving measures. Purposes: To examine the variability in overall 90-day reimbursements (amount paid for health care services) for ACLR using a national, multi-insurance, administrative database and to assess factors associated with variability. Study Design: Cross-sectional study. Methods: Using the M151 PearlDiver data set (data from 2010 to April 30, 2021), the authors identified the 90-day total reimbursements in patients who underwent ACLR. Patient age, sex, and comorbidity burden; insurance type; inpatient versus outpatient surgery status; and 90-day postoperative adverse events were determined and were correlated with overall reimbursements using multivariable logistic regression. Results: A total of 249,484 patients who underwent ACLR during the study period were identified. The mean patient age was 31.6 ± 13.58 years, 50.3% were female, the mean Elixhauser Comorbidity Index (ECI) was 1.4 ± 1.8, and procedures were performed on an outpatient basis for 245,507 patients (98.4%). Insurance type was commercial for 220,284 patients (88.3%), Medicaid for 17,660 (7.1%), and Medicare for 3500 (1.4%). The mean overall 90-day reimbursement was $4281.91 ± $4982.61 (median [interquartile range], $3032 [$1681-5142]), and the total reimbursement for the patient cohort was $1,049,250,747. On multivariable linear regression, the variables independently associated with the greatest changes in overall reimbursement were (in decreasing order) hospital readmission (+$17,675.23), adverse events (+$1554.14), inpatient procedure (+$1246.51), and emergency department visits (+$784.06). Lesser but significant associations were found with greater ECI (+$252.30) and female sex (+$101.01). Decreased overall reimbursement was associated with older age (−$12.19) and Medicare (−$883.48)/Medicaid (−$493.18) relative to commercial insurance. Conclusion: In the current study, large variability was found in overall ACLR reimbursement/cost within the health care system. Hospital admissions (inpatient surgery and readmission) and adverse events were associated with the greatest increase in costs and emphasize the need to optimize these metrics above and beyond patient experience.

Study Design Retrospective cohort study. Objective Geriatric vertebral compression fractures are the most common fracture associated with osteoporosis. Using a large national database, the current study aimed to examine and characterize bracing trends for geriatric thoracic/lumbar compression fracture management. Methods The current study utilized the PearlDiver database from 2015-2021. Patients who suffered thoracic/lumbar compression fractures (fifth thoracic to the fifth lumbar vertebra [T5-L5]) were identified. Exclusion criteria included patients less than 65 years old or an indication of infection or neoplasm. Patients who received a brace within 90-days after the initial diagnosis of thoracic/lumbar compression fracture were abstracted and characterized overall and by fracture level. Multivariable logistic regression was performed to assess for correlation with bracing trends. Results In total 290 388 patients met inclusion criteria and suffered a thoracic/lumbar compression fracture (greatest incidence at the thoracolumbar junction). Of these, bracing was only prescribed for 4263 (1.5%), with the greatest variance of 1.5% by level. Independent predictors of bracing were geographic region (relative to northeast, west WE odds ratio [OR] 1.31, Midwest OR 1.20), younger age (OR 1.27 per decade), female sex (OR 1.17), and ECI (OR 1.02 per 2-point increase) (P < .05 for each). Conclusion Overall, the current study examined over a quarter of a million patients who suffered a T5-L5 compression fractures and found that only 1.5% of patients were braced. This low percentage, and that greatest predictor for bracing was non-clinical (geographic region), highlight the inconsistency of this practice and may be useful for developing treatment algorithms.

Background: After anterior cruciate ligament (ACL) reconstruction (ACLR), ipsilateral ACL graft reinjury or contralateral ACL injury has been reported. The rate and predictors of such subsequent ACL injuries have not been reported in recent years and in large patient cohorts. Purpose: The current study utilized a large, national, multi-insurance, administrative database to assess subsequent ACLR and factors associated with its occurrence. Study Design: Cross-sectional study; Level of evidence, 3. Methods: Using the PearlDiver M151 database, patients who underwent ACLR within the United States between 2015 and 2021 were abstracted. All included patients had ≥3 years of evaluation after initial ACLR. Patients who underwent a subsequent reconstruction (ipsilateral or contralateral) within 3 years were determined and the timing assessed. Using univariable and multivariable logistic regression, the factors associated with having a subsequent ACLR and the factors associated with returning for ipsilateral versus contralateral ACLR were examined. Results: In total, 40,151 patients who underwent initial ACLR during the study period were identified. Of these, subsequent ACLR was performed for 1689 patients (4.2%). These included ipsilateral revision for 1018 (60.3%) and contralateral reconstruction for 671 (39.7%) patients. Patients returning for ipsilateral reconstruction did so sooner than patients needing a contralateral reconstruction. On multivariable analysis, the only factor independently associated with subsequent ACLR was younger age (odds ratio [OR] = 4.17 for 10-14 years relative to 25-29 years; P < .0001). Factors associated with returning for an ipsilateral revision ACLR as opposed to contralateral ACLR were earlier revision (OR = 1.49 within 1.5 years relative to after 1.5 years; P = .0001) and female sex (OR = 0.62 relative to male sex; P < .0001). Conclusion: The overall rate of requiring a subsequent ACLR was found to be 4.2%, with 60.3% of these being to the ipsilateral ACL. This information may be helpful for evolving injury-prevention programs and patient counseling.

Background: Ice skating, inline skating, and roller skating are popular sports in the United States (US). Although they are similar, injuries incurred may be distinct and may have evolved over time. Purpose: To characterize injuries related to ice skating, inline skating, and roller skating and track injury patterns over a 20-year period. Study Design: Descriptive epidemiology study. Methods: The current study utilized the National Electronic Injury Surveillance System, a database reporting consumer product-related injuries seen at emergency departments in the US. All ice skating, inline skating, and roller skating injuries between 2002 and 2021 were identified, and patient demographics, types of injury, and year of injury were compared between skating types. Results: A total of 1,656,746 skating-related injuries were estimated nationally: 24% (403,791) for ice skating, 24% (400,172) for inline skating, and 52% (852,783) for roller skating. While the incidence of ice-skating- and roller-skating-related injuries decreased by 34.4% (from 22,490 in 2002-2004 to 14,758 in 2019-2021) and 29.6% (from 42,452 in 2002-2004 to 31,980 in 2019-2021), respectively, injuries related to inline skating decreased comparatively more, by 75.8% over the study period (from 48,097 in 2002-2004 to 11,662 in 2019-2021). Injuries occurred predominantly to the head/face/neck for ice skating (n = 139,501; 34.5% of injuries), whereas injuries occurred predominantly in the shoulder/arm/elbow/wrist for inline skating (n = 212,088, 53.0% of injuries) and roller skating (n = 425,216, 49.9% of injuries). Fracture was the most common injury type for all 3 skating types (n = 614,853, 37.1% of injuries), and the majority of fractures occurred in the upper extremity (shoulder/arm/elbow/wrist) for all 3 skating types (n = 59,624, 60.0% [ice skating]; n = 69,197, 41.2% [inline skating], and n = 237,099, 68.2% [roller skating]). Lower extremity (leg/knee/ankle) fractures were more common among ice skating (n = 28,019, 28.2%) and roller skating (n = 82,094, 23.6%) injuries compared with inline skating (n = 21,391, 12.7%). Conclusion: In the current study, we found that fractures were the most common type of injury regardless of skating type but that the location of the injury/fracture varied by skating type.

Following carpal tunnel release (CTR), patients may be indicated for subsequent hand surgery (contralateral CTR and/or trigger finger release [TFR]). While surgeons typically take pride in patient loyalty, the rate of returning to the same hand surgeons has not been previously characterized. Patients undergoing CTR were isolated from 2010-2021 PearlDiver M151 dataset. Subsequent CTR or TFR were identified and characterized as being performed by the same or different surgeon, with patient factors associated with changing to a different surgeon determined by multivariable analyses. In total, 1,121,922 CTR patients were identified. Of these, subsequent surgery was identified for 307,385 (27.4%: CTR 289,455 [94.2%] and TFR 17,930 [5.8%]). Of the patients with a subsequent surgery, 257,027 (83.6%) returned to the same surgeon and 50,358 (16.4%) changed surgeons. Multivariable analysis found factors associated with changing surgeon (in order of decreasing odds ration [OR]) to be: TFR as the second procedure (OR 2.98), time between surgeries greater than 2-years (OR 2.30), Elixhauser-Comorbidity Index (OR 1.14 per 2-point increase), and male sex (OR 1.06), with less likely hood of changing for those with Medicare (OR 0.95 relative to commercial insurance) (p<0.001 for each). Pertinent negatives included: age, Medicaid, and having a 90-day adverse event after the index procedure. Over fifteen percent of patients who required a subsequent CTR or TFR following CTR did not return to the same surgeon. Understanding what factors lead to outmigration of patients form a practice may help direct efforts for patient retention.

Study Design Retrospective cohort analysis. Objective CCS is the most common type of incomplete spinal cord injury and can occur without or with bony injury. Surgical intervention and its timing for patients diagnosed with CCS has been controversial. The current study assessed utilization of and factors associated with operative intervention and its timing in patients diagnosed with central cord syndrome (CCS) in the absence of bony injury. Methods Adult patients diagnosed with CCS in the absence of vertebral fracture were queried from the national, multi-insurance, administrative 2015–2020 M151 PearlDiver database. The incidence, trends, and timing of operative intervention following CCS were assessed. Patient characteristics associated with surgical intervention and its timing were determined. Results From 2015 to 2020, 11,653 patients meeting inclusion criteria were identified, of which surgical intervention was identified for 2,003 (17.2%) and thus nonsurgical intervention for 9,650 (82.8%). The proportion of patients undergoing operative intervention evolved from 11.5% in 2015 to 19.7% in 2020 ( p  < 0.0001). Of those undergoing surgical intervention, the greatest increase was seen for those undergoing surgery within two days of diagnosis (5.5% in 2015 to 12.3% in 2020, p  < 0.0001). On multivariable analysis, more recent year of service, region of service, younger age, and higher comorbidity burden were independent predictors of operative management ( p  < 0.05 for all). Conclusion The majority of a large cohort of patients with first diagnosis CCS in the absence of bony injury were managed non-operatively. Operative management increased over the years of study, were performed earlier after diagnosis, and varied based on patient characteristic and geographic region.