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Background: While prevention protocols have been implemented, skiing-related musculoskeletal injuries and concussions continue to present to emergency departments in the United States. Previous literature has suggested the pediatric population may constitute up to 40% of skiing-related injuries. Purpose: To assess injury trends and the underlying mechanisms of skiing injuries in pediatric patients seen at emergency departments in the United States. Study Design: Descriptive epidemiology study. Methods: The National Electronic Injury Surveillance System (NEISS) was queried for pediatric (age ≤18 years) skiing injuries between January 1, 2012, and December 31, 2022. Injury mechanism, location, disposition, and diagnosis were recorded, and the statistical sample weight assigned by NEISS by hospital was used to calculate national estimates (NEs). Injury trends were evaluated with linear regression analysis. Results: Overall, 2951 pediatric skiing injuries were included (NE = 123,386). The mean age of the patients was 12.4 ± 3.5 years, with 61.3% of the injuries occurring in male patients. Impact with the ground was the most common injury mechanism (NE = 87,407; 70.8%). Fractures were the most common diagnosis (NE = 38,527, 31.2%), followed by strains/sprains (NE = 22,562, 18.3%), contusions/abrasions (NE = 16,257, 13.2%), and concussions (NE = 12,449, 10.1%). The lower leg was the most common fracture site (NE = 9509, 24.7%), followed by the shoulder (NE = 7131, 18.5%) and lower arm (NE = 5876, 15.3%). Analysis of annual injuries revealed no significant trend between 2012 and 2022 (P = .17), with fluctuations apparent throughout the study period. Significant decreases were seen in strains/sprains (P < .01) and contusions/abrasions (P < .01), but not in concussions (P = .57) or fractures (P = .70). Conclusion: Impacts with the snow/ground made up 70.8% of all injuries. Fractures were the most common injury diagnosis, followed by strains/sprains, with the lower leg being most frequently fractured. While strains/sprains and contusions/abrasions showed a significant decline, there were no significant trends in fractures and concussions between 2012 and 2022.
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Introduction: To evaluate eye and orbital injuries in non-powered scooter, electric-scooter (e-scooter), and hoverboard riders in the United States (US) between 2014 and 2019. Methods: The National Electronic Injury Surveillance System (NEISS) was queried for head and neck injuries by body part codes related to non-powered scooters and powered scooters/hoverboards from 2014 to 2019. The NEISS complex sampling design was used to obtain US population projections of injuries and hospital admissions. Keywords were queried in case narratives to analyze trends in location, type, and mechanism of eye and orbit injuries. Results: Since their introduction, a 586% (p=0.01) increase in e-scooter injuries and 866% (p<0.001) increase in hoverboard injuries were observed with an increase in hospital admissions seen in young adults (18-34) in urban areas (e-scooter: 5980% and hoverboard: 479%). Descriptive narratives of the trauma noted eye injuries in 242 unweighted NEISS cases with only 30 cases appropriately documented under body part code 77: eyeball. Eye injuries increased 96.9% during the study period (p=0.23). Specifically, the most common ophthalmic injuries reported included eyebrow (40.9%) and eyelid (11.3%) lacerations, periorbital contusions (18.7%), orbit fractures (6.6%), and corneal abrasions (5.1%). Conclusion: There was a significant increase in both head and neck injury cases and hospital admissions related to e-scooters. Eye and orbit injuries similarly increased but were underreported by body part code compared to injury narratives. Orbital fractures were reported more frequently in injuries from e-scooters than non-powered scooters.
From 2014 to 2019, there were significant increases in both head and neck injuries and hospital admissions related to e-scooters, with eye and orbital injuries similarly increased but underreported by body part code compared to the injury narratives.
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OBJECTIVE: Marrow stimulation is used to address knee cartilage defects. In this study, we used the fragility index (FI), reverse fragility index (rFI), and fragility quotient (FQ) to evaluate statistical fragility of outcomes reported in randomized controlled trials (RCTs) evaluating marrow stimulation. DESIGN: PubMed, Embase, and MEDLINE were queried for recent RCTs (January 1, 2010-September 5, 2023) assessing marrow stimulation for cartilage defects of the knee. The FI and rFI were calculated as the number of outcome event reversals required to alter statistical significance for significant and nonsignificant outcomes, respectively. The FQ was determined by dividing the FI by the study sample size. RESULTS: Across 155 total outcomes from 21 RCTs, the median FI was 3 (interquartile range [IQR], 2-5), with an associated median FQ of 0.067 (IQR, 0.033-0.010). Thirty-two outcomes were statistically significant, with a median FI of 2 (IQR, 1-3.25) and FQ of 0.050 (IQR, 0.025-0.069). Ten of the 32 (31.3%) outcomes reported as statistically significant had an FI of 1. In total, 123 outcomes were nonsignificant, with a median rFI of 3 (IQR, 2-5). Studies assessing stem cell augments were the most fragile, with a median FI of 2. In 55.5% of outcomes, the number of patients lost to follow-up was greater than or equal to the FI. CONCLUSION: Statistical findings in RCTs evaluating marrow stimulation for cartilage defects of the knee are statistically fragile. We recommend combined reporting of P-values with FI and FQ metrics to aid in the interpretation of clinical findings in comparative trials assessing cartilage restoration.
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Purpose: To analyze epidemiology, mechanisms, and diagnoses of upper extremity volleyball injuries in youth who present to United States emergency departments. Methods: Data from the National Electronic Injury Surveillance System were analyzed for upper extremity volleyball injuries in patients ≤18 years old from January 1, 2012, to December 31, 2022. Data were collected for body part, diagnosis, mechanism of injury, and disposition. Weighted national estimates were calculated using the hospitals' corresponding statistical sample weights. Linear regressions were used to analyze annual trends. χ2 tests were used to analyze categorical variables. Results: A weighted national estimate of 131,624 upper extremity volleyball-related injuries occurred in the study period. Average age was 13.9 ± 2.3 years. Female patients constituted 77.6% of patients; 99.3% of patients did not require admission. The most common body parts injured were fingers (43.0%), wrists (22.8%), and shoulders (12.2%). The most common identifiable mechanisms of injury were impacts with the floor (19.4%), impacts with the ball (14.7%), and spikes/serves (5.7%). Most common diagnoses were strains/sprains (42.6%) and fractures (19.5%). Most common locations of fracture were fingers (57.4% of all fractures), wrists (16.6%), and lower arms (12.4%). There was a decrease of 544 overall injuries per year (P = .03, 95% confidence interval [CI] -1031 to -58). Female players experienced more contusions/abrasions (16.0% vs 9.9%, P < .001) and strains/sprains (46.1% vs 30.4%, P < .001) compared with male players. Female patients had decreases of 513 overall injuries (P = .01, 95% CI -881 to -144), 349 strains/sprains (P = .002, 95% CI -530 to -168), 102 contusions/abrasions (P = .008, 95% CI 170 to -34), and 92 fractures per year (P = .03, 95% CI -175 to -10). Conclusions: Youth volleyball players are at risk of upper extremity injury, particularly involving the fingers, wrist, and shoulder. Despite increasing national participation in youth volleyball, there is a decreasing incidence of upper extremity injuries. Level of Evidence: Level IV, prognostic case series.
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BACKGROUND: Dual mobility (DM) constructs for revision total hip arthroplasty (THA) have continued to grow in popularity to mitigate instability. This benefit comes at the cost of potential unique modes of failure, and there are theoretical concerns that combining femoral and acetabular components from different manufacturers could lead to increased failure rates. We aimed to investigate rates of reoperation between matched and unmatched DM implants used in revision THA. METHODS: We retrospectively reviewed 217 revision THAs performed with DM constructs between July 2012 and September 2021 at a single institution. Dual mobility (DM) constructs were classified as "matched" if the acetabular and femoral components were manufactured by the same company. They were classified as "unmatched" if the acetabular and femoral components were manufactured by different companies. The primary outcome was reoperation for any reason. RESULTS: There were 136 matched DM constructs and 81 unmatched constructs. Average follow-up was 4.6 years (range, 2.0 to 9.6 years). There was no difference in reoperation rate between matched and unmatched groups (11.0 versus 13.6%, P = .576). The most common reasons for reoperation in both groups were instability and periprosthetic joint infection. There was 1 revision for intraprosthetic dislocation in the matched group. CONCLUSIONS: The use of unmatched DM components in revision THA was common and did not increase the risk of reoperation at an average of 4.6-year follow-up. This information can be helpful in operative planning, but further research on long-term survival will be necessary.
Subject(s)
Arthroplasty, Replacement, Hip , Hip Dislocation , Hip Prosthesis , Humans , Hip Prosthesis/adverse effects , Hip Dislocation/etiology , Hip Dislocation/surgery , Retrospective Studies , Prosthesis Failure , Prosthesis Design , ReoperationABSTRACT
OBJECTIVE: Our study aimed to investigate the association between time to incidence of radiographic osteoarthritis (OA) and magnetic resonance imaging (MRI)-based structural phenotypes proposed by the Rapid Osteoarthritis MRI Eligibility Score (ROAMES). METHODS: A retrospective cohort of 2,328 participants without radiographic OA at baseline were selected from the Osteoarthritis Initiative study. Utilizing a deep-learning model, we automatically assessed the presence of inflammatory, meniscus/cartilage, subchondral bone, and hypertrophic phenotypes from MRIs acquired at baseline and 12-, 24-, 36-, 48-, 72-, and 96-month follow-up visits. In addition to 4 structural phenotypes, we examined severe knee injury history and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain scores as time dependent. We used Cox proportional hazards regression to analyze the association between 4 structural phenotypes and radiographic OA disease-free survival, both univariate and adjusted for known risk factors including age, sex, race, body mass index, presence of Heberden's nodes, and knee malalignment. RESULTS: Inflammatory (hazard ratio [HR] 3.37 [95% confidence interval (95% CI) 2.45-4.63]), meniscus/cartilage (HR 1.55 [95% CI 1.21-1.98]), and subchondral bone (HR 1.84 [95% CI 1.63-2.09]) phenotypes were associated with time to radiographic OA at P < 0.05 when adjusted for the risk factors. Sex was a modifier of hypertrophic phenotype association with time to radiographic OA. Female participants with the hypertrophic phenotype were associated with 2.8 times higher risk of radiographic OA (95% CI 2.25-7.54) compared to male participants without the hypertrophic phenotype. CONCLUSION: Four ROAMES phenotypes may contribute to time to radiographic OA incidence and if validated could be used as a promising tool for personalized OA management.
Subject(s)
Knee Joint , Osteoarthritis, Knee , Male , Humans , Female , Knee Joint/pathology , Osteoarthritis, Knee/diagnostic imaging , Retrospective Studies , Radiography , Incidence , Magnetic Resonance Imaging/methods , Hypertrophy/complications , Hypertrophy/pathology , Phenotype , Disease ProgressionABSTRACT
PURPOSE: To perform patellofemoral joint (PFJ) geometric measurements on knee magnetic resonance imaging scans and determine their relations with chondral lesions in a multicenter cohort using deep learning. METHODS: The sagittal tibial tubercle-trochlear groove (sTTTG) distance, tibial tubercle-trochlear groove distance, trochlear sulcus angle, trochlear depth, Caton-Deschamps Index (CDI), and flexion angle were measured by use of deep learning-generated segmentations on a subset of the Osteoarthritis Initiative study with radiologist-graded PFJ cartilage grades (n = 2,461). Kruskal-Wallis H tests were performed to compare differences in PFJ morphology between subjects without PFJ osteoarthritis (OA) and those with PFJ OA. PFJ morphology was correlated with secondary outcomes of mean patellar cartilage thickness and mean patellar cartilage T2 relaxation time using linear regression models controlling for age, sex, and body mass index. RESULTS: A total of 1,626 knees did not have PFJ OA, whereas 835 knees had PFJ OA. Knees without PFJ OA had an increased (anterior) sTTTG distance (mean ± standard deviation, 11.1 ± 12.8 mm) compared with knees with PFJ OA (8.4 ± 12.7 mm) (P < .001), indicating a more posterior tibial tubercle in subjects with PFJ OA. Knees without PFJ OA had a decreased sulcus angle (127.4° ± 7.1° vs 128.0° ± 8.4°, P = .01) and increased trochlear depth (9.1 ± 1.7 mm vs 9.0 ± 2.0 mm, P = .03) compared with knees with PFJ OA. Decreased patellar cartilage thickness was associated with decreased trochlear depth (ß = 0.12, P = .002) and increased CDI (ß = -0.07, P < .001). Increased patellar cartilage T2 relaxation time was correlated with decreased sTTTG distance (ß = -0.08, P = .01), decreased sulcus angle (ß = -0.12, P = .04), and decreased CDI (ß = -0.12, P < .001). CONCLUSIONS: PFJ OA, patellar cartilage thickness, and patellar cartilage T2 relaxation time were shown to be associated with the underlying geometries within the PFJ. This large longitudinal study highlights that a decreased sTTTG distance (i.e., a more posterior tibial tubercle) is significantly associated with PFJ degenerative cartilage change. LEVEL OF EVIDENCE: Level III, retrospective comparative prognostic trial.
Subject(s)
Bone Diseases , Deep Learning , Joint Instability , Osteoarthritis, Knee , Patellofemoral Joint , Humans , Patellofemoral Joint/diagnostic imaging , Patellofemoral Joint/pathology , Retrospective Studies , Longitudinal Studies , Knee Joint/pathology , Osteoarthritis, Knee/diagnostic imaging , Cartilage/pathology , Tibia/diagnostic imaging , Tibia/pathology , Magnetic Resonance Imaging/methods , Joint Instability/pathologyABSTRACT
The 3D nature and soft-tissue contrast of MRI makes it an invaluable tool for osteoarthritis research, by facilitating the elucidation of disease pathogenesis and progression. The recent increasing employment of MRI has certainly been stimulated by major advances that are due to considerable investment in research, particularly related to artificial intelligence (AI). These AI-related advances are revolutionizing the use of MRI in clinical research by augmenting activities ranging from image acquisition to post-processing. Automation is key to reducing the long acquisition times of MRI, conducting large-scale longitudinal studies and quantitatively defining morphometric and other important clinical features of both soft and hard tissues in various anatomical joints. Deep learning methods have been used recently for multiple applications in the musculoskeletal field to improve understanding of osteoarthritis. Compared with labour-intensive human efforts, AI-based methods have advantages and potential in all stages of imaging, as well as post-processing steps, including aiding diagnosis and prognosis. However, AI-based methods also have limitations, including the arguably limited interpretability of AI models. Given that the AI community is highly invested in uncovering uncertainties associated with model predictions and improving their interpretability, we envision future clinical translation and progressive increase in the use of AI algorithms to support clinicians in optimizing patient care.
Subject(s)
Musculoskeletal System , Osteoarthritis , Algorithms , Artificial Intelligence , Humans , Magnetic Resonance Imaging , Osteoarthritis/diagnostic imagingABSTRACT
AIM: To analyse the most recent trends and characteristics of playground equipment-related injuries in children. METHODS: We used the National Electronic Injury Surveillance System database to acquire cases of playground equipment-related injuries in children ≤17 years old between 1995 and 2019. A total of 184 580 unweighted cases met our study inclusion criteria. RESULTS: A total of 5 356 703 (95% confidence interval 4 235 530-6 477 876) emergency department visits for playground-related injuries in the USA were estimated during the study period which was equal to an average of 29.4 annual injuries per 10 000 US population ≤17 years. The mean age was 6.5 (standard error 0.049) years. School-aged (42.7%) and pre-school children (35.3%) accounted for most playground injuries. More than half of the injuries were reported in males (53.6%). Most injuries occurred with climbing apparatuses (36%), followed by swings (25.9%) and slides (20.9%). Overall number of injuries (∆ - 22.3%, P = 0.01) and incidence (∆ - 21.6%, P = 0.01) had a declining trend after 2012. However, reported concussion injuries showed an increasing trend during the study (∆ + 28.3%, P < 0.001). A marked seasonal variation in number of injuries existed with most injuries in May and September. CONCLUSIONS: Although injuries arising from playground equipment have decreased during the past 8 years, there was an increase in number of reported concussions. The outcomes of this study suggested that further efforts should be directed towards such serious injuries.
Subject(s)
Brain Concussion , Wounds and Injuries , Adolescent , Child , Child, Preschool , Emergency Service, Hospital , Humans , Incidence , Male , Play and Playthings , Schools , United States/epidemiology , Wounds and Injuries/epidemiology , Wounds and Injuries/etiologyABSTRACT
BACKGROUND: Cancer patients incur high care costs; however, there is a paucity of literature characterizing unmet financial obligations for patients with urologic cancers. Kidney cancer patients are particularly burdened by costs associated with novel systemic treatments. This study aimed to ascertain the characteristics of GoFundMe® crowdfunding campaigns for patients with kidney cancer, in order to better understand the financial needs of this population. METHODS: We performed a cross-sectional, quantitative, and qualitative analysis of all kidney cancer GoFundMe® campaigns since 2010. Fundraising metrics such as goal funds and amount raised, were extracted. Eight independent investigators collected patient, disease and campaign-level variables from campaign stories (κ = 0.72). In addition, we performed a content analysis of campaign narratives spotlighting the primary appeal of the patient's life story. RESULTS: A total of 486 GoFundMe® kidney cancer campaigns were reviewed. The median goal funds were 10,000USD [IQR = 5000, 20,000] and the median amount raised was 1450USD [IQR = 578, 4050]. Most campaigns were for adult males (53%) and 62% of adults had children. A minority were for pediatric patients (17%). Thirty-seven percent of adult patients were primary wage earners and 43% reported losing their job or substantially reducing hours due to illness. Twenty-nine percent reported no insurance or insufficient coverage. Campaigns most frequently sought funds for medical bills (60%), nonmedical bills (27%), and medical travel (23%). Qualitative campaign narratives mostly emphasized patients' hardship (46.3%) or high moral character (35.2%). Only 8% of campaigns achieved their target funds. CONCLUSIONS: Despite fundraising efforts, patients with kidney cancer face persistent financial barriers, incurring both medical and nonmedical cost burdens. This may be compounded by limited or no insurance. Cancer care providers should be aware of financial constraints placed on kidney cancer patients, and consider how these may impact treatment regimens.
Subject(s)
Fund Raising/methods , Health Care Costs , Kidney Neoplasms/economics , Adult , Child , Cost of Illness , Cross-Sectional Studies , Crowdsourcing , Female , Financial Stress , Fund Raising/economics , Fund Raising/organization & administration , Fund Raising/statistics & numerical data , Humans , Insurance Coverage/statistics & numerical data , Kidney Neoplasms/therapy , Male , Medically Uninsured/statistics & numerical data , Personal Narratives as Topic , Qualitative ResearchABSTRACT
[This corrects the article DOI: 10.1148/ryai.2021200165.].
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INTRODUCTION: Cycling can lead to microtrauma due to increased perineal pressure, possibly contributing to genital numbness and sexual dysfunction in female cyclists. AIM: We aim to explore the associations between cycling characteristics, female genital numbness, and female sexual dysfunction. METHODS: We conducted a cross-sectional study on female cyclists and sexual wellness. Participants were recruited through Facebook® advertisements and online outreach at athletic clubs. Participants were asked about their cycling characteristics, genital numbness, and female sexual function using the Female Sexual Function Index (FSFI). Univariate and multivariable linear and logistic regression were used to assess risk factors for genital numbness and the association between genital numbness and the FSFI. OUTCOME MEASURES: The outcome measures were cycling characteristics, questions regarding numbness (intensity, duration, location), and the FSFI score. RESULTS: Eight-hundred and seventy-five women were included in the study. Total lifetime miles cycled, biking duration, frequency, distance, speed, and biking surface were not significantly associated with genital numbness. Higher handlebar height was associated with less numbness. The prevalence of sexual dysfunction in the cohort was 52%. Genital numbness was significantly associated with sexual dysfunction (OR: 1.43, 95% CI: 1.05 - 1.95). Sub-group analysis for location of numbness demonstrated significant increase in risk for sexual dysfunction in cyclists who described numbness aro`und the perineum (OR: 2.72, 95% CI: 1.05 - 7.02) and the vulva (OR: 1.55, 95% CI: 1.13 - 2.13). There was also a significant increase in the risk of sexual dysfunction in cyclists who reported a longer duration of numbness (OR: 6.58, 95% CI: 2.27 - 19.07). CONCLUSIONS: Genital numbness is common in women who cycle and is associated with increased risk of FSD and lower average sexual response scores on FSFI. Lui H, Mmonu N, Awad MA, et al. Association of Bicycle-Related Genital Numbness and Female Sexual Dysfunction: Results From a Large, Multinational, Cross-Sectional Study. Sex Med 2021;9:100365.
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Osteoarthritis (OA) develops through heterogenous pathophysiologic pathways. As a result, no regulatory agency approved disease modifying OA drugs are available to date. Stratifying knees into MRI-based morphological phenotypes may provide insight into predicting future OA incidence, leading to improved inclusion criteria and efficacy of therapeutics. We trained convolutional neural networks to classify bone, meniscus/cartilage, inflammatory, and hypertrophy phenotypes in knee MRIs from participants in the Osteoarthritis Initiative (n = 4791). We investigated cross-sectional association between baseline morphological phenotypes and baseline structural OA (Kellgren Lawrence grade > 1) and symptomatic OA. Among participants without baseline OA, we evaluated association of baseline phenotypes with 48-month incidence of structural OA and symptomatic OA. The area under the curve of bone, meniscus/cartilage, inflammatory, and hypertrophy phenotype neural network classifiers was 0.89 ± 0.01, 0.93 ± 0.03, 0.96 ± 0.02, and 0.93 ± 0.02, respectively (mean ± standard deviation). Among those with no baseline OA, bone phenotype (OR: 2.99 (95%CI: 1.59-5.62)) and hypertrophy phenotype (OR: 5.80 (95%CI: 1.82-18.5)) each respectively increased odds of developing incident structural OA and symptomatic OA at 48 months. All phenotypes except meniscus/cartilage increased odds of undergoing total knee replacement within 96 months. Artificial intelligence can rapidly stratify knees into structural phenotypes associated with incident OA and total knee replacement, which may aid in stratifying patients for clinical trials of targeted therapeutics.
Subject(s)
Knee/pathology , Osteoarthritis, Knee/diagnostic imaging , Radiographic Image Interpretation, Computer-Assisted/methods , Aged , Aged, 80 and over , Area Under Curve , Cross-Sectional Studies , Deep Learning , Disease Progression , Female , Humans , Knee/diagnostic imaging , Magnetic Resonance Imaging , Male , Middle Aged , Osteoarthritis, Knee/pathology , PhenotypeABSTRACT
OBJECTIVE: To evaluate the demographics, epidemiology, and common mechanisms associated with playground equipment-related genital injuries in children. METHODS: We examined the National Electronic Injury Surveillance System database to obtain playground-related genital injuries sustained in children ≤17 years from 2010 to 2019. Demographics of the patients and injury characteristics were analyzed using sample weights to produce national estimates. RESULTS: During the study period, an estimated 27,738 (95% confidence interval 18,602-36,874) emergency department visits with an average annual incidence of 3.8 (95% confidence interval 2.5-5) per 100,000 United States population ≤17 years were reported. The mean age was 6.6 (standard error 0.152) years with most injuries occurring in pre-school children (48.1%) and females (81.1%). Over ½ of genital injuries (55.2%) were associated with climbing apparatus. This was followed by slides (10.7%), swings (9%), and seesaws (4.8%). Most genital injuries occurred at public (41.4%) and school settings (36.3%). Straddling and/or falling was the most common mechanism leading to genital injuries (84.4%). The incidence of injuries remained constant during the 10-year study period (change = + 2.6%; r2 = 0.121, P = .326). Monthly variations in the number of injuries existed with peak injuries in April-May, and September-October. CONCLUSION: Despite current safety standards, genital injuries arising from playground equipment have remained stable since 2010. By defining common devices, mechanisms, and conditions associated with genital injuries, this study may help guide efforts aimed at the prevention of such injuries in various locations.
Subject(s)
Emergency Service, Hospital/statistics & numerical data , Genitalia/injuries , Play and Playthings/injuries , Adolescent , Age Distribution , Child , Child, Preschool , Databases, Factual , Female , Humans , Incidence , Infant , Infant, Newborn , Male , Seasons , Sex Distribution , United States/epidemiologyABSTRACT
INTRODUCTION: Publications at any point in training can impact future academic interest and achievement. Implications of publishing scholarly work prior to residency on accomplishments during and after residency are understudied. METHODS: We obtained publication output before, during and after residency for urologists graduating between 2002 and 2008 from the 36 training programs affiliated with a top 50 urology hospital nationwide. Additional collected information included fellowship training, current appointment, total and R01 National Institutes of Health grants, and h-index. We compared urologists' preresidency scholarship with residency and career achievements. RESULTS: We retrieved data from 543 urologists, of whom 161 (29.7%) and 92 (16.9%) published 1 or more total and first author manuscripts before residency, respectively. A total of 269 (49.5%) urologists went on to pursue fellowship and 183 (33.7%) entered academic practice. Urologists with a first author publication before residency had increased odds of entering academics (OR 1.9, 95% CI 1.2-3.1), obtaining National Institutes of Health grants (OR 2.2, 95% CI 1.1-4.3) and acquiring National Institutes of Health R01 grants (OR 4.1, 95% CI 1.7-9.7). Those with more first author manuscripts prior to residency were also more likely to pursue fellowship (p=0.0002), have a higher h-index (p <0.0001) and publish more during (p <0.0001) and after residency (p=0.0002). However, those with more total publications before residency were only associated with greater h-index (p=0.002) and publications in residency (p=0.001). CONCLUSIONS: Preresidency scholarly endeavors, particularly first author publications, are associated with future scholarly achievement, which may inform both resident selection procedures and medical education curricular development.
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AIMS: Treatment for urinary incontinence (UI) includes pelvic floor muscle training (PFMT). There is limited data appraising the characteristics of PFMT devices. We aimed to ascertain the primary use, strengths and weaknesses of PFMT devices available online, through evaluation of consumer reviews. METHODS: We performed an analysis of PFMT devices on Amazon.com. Four key device categories were recognized. Reviews from the five most frequently-reviewed products per category were analyzed (n = 20). W characterized device use, strengths and weaknesses using thematic analysis. RESULTS: We evaluated 2574 PFMT device reviews including 1168 vibrating Kegel balls, 750 non-vibrating Kegel balls, 411 pelvic floor or thigh exercisers, and 245 electric probes. Non-vibrating Kegel balls were rated highest (4.6/5 stars), followed by vibrating Kegel balls, electric probes and pelvic floor or thigh exercisers (4.4/5, 4.1/5, and 3.8/5 stars, respectively). Most reviews were positive (77%) or negative (16%) with few neutral (7%). While all were marketed to treat UI, most reviews did not mention the intended use. Vibrating and non-vibrating Kegel balls and electric probes were most likely to be used for UI, and pelvic floor or thigh exercisers for toning. Some used non-vibrating and vibrating Kegel balls for sexual function. Electric probes were the most beneficial device for incontinence control (27%, 67/245). Twenty-five percent of all product reviews praised device ease of use and good quality or design. A minority of reviewers found products difficult to use, of poor quality or design and uncomfortable. CONCLUSION: Consumers utilized online PFMT devices for multiple purposes, including UI, toning and sexual function. Reviewers generally praised PFMT products, particularly electric probes for UI.
Subject(s)
Exercise Therapy/methods , Internet Use/trends , Pelvic Floor/physiopathology , Aged , Aged, 80 and over , Female , Humans , Middle AgedABSTRACT
AIMS: Voiding positions and preferences in men are not well characterized. In this study, we aim to understand the interplay of voiding characteristics and their impact on voiding position. METHODS: We designed a 27-item survey to assess voiding characteristics and lower urinary tract symptoms (LUTS) severity in men seen in urology and other outpatient clinics. Participants included adult men patients and adult men accompanying patients at our institution's outpatient clinics. Data collected included demographics, International Prostate Symptom Score questionnaire, stream type (single, split, and dribble), voiding behavior, positional stream quality, and voiding bother. RESULTS: We received 195 completed surveys (80% response rate). Of men queried, 18% (35/195) preferred to sit while voiding. Overall, men who sit had a higher proportion of LUTS (66% [23/35] vs. 41% [66/160]; p = .01), more physical limitations affecting voiding choice (20% [7/35] vs. 3% [5/160]; (p = .001), and a lower desire to stand (6% [2/35] vs. 24% [38/160]; p = .02), compared to men who stand. Men who sit while voiding reported nearly double the amount of voiding associated bother (34% [12/35]) compared to men who stand (18% [28/160]; p = .04). Older aged men reported a similar rate of seated urination compared to younger men. The most common reasons to void seated included comfort and avoidance of spraying. CONCLUSIONS: Our findings discourage the use of anecdotal beliefs founded on generalizable characteristics, such as age and stream type, to infer a patient's voiding characteristics. Open dialog with patients regarding voiding preferences may garner important information regarding overall urologic health and better inform urologic care.
Subject(s)
Lower Urinary Tract Symptoms/physiopathology , Sitting Position , Standing Position , Urination/physiology , Adult , Age Factors , Aged , Humans , Male , Middle Aged , Surveys and QuestionnairesABSTRACT
PURPOSE: To evaluate the diagnostic utility of two convolutional neural networks (CNNs) for severity staging of anterior cruciate ligament (ACL) injuries. MATERIALS AND METHODS: In this retrospective study, 1243 knee MR images (1008 intact, 18 partially torn, 77 fully torn, and 140 reconstructed ACLs) from 224 patients (mean age, 47 years ± 14 [standard deviation]; 54% women) were analyzed. The MRI examinations were performed between 2011 and 2014. A modified scoring metric was used. Classification of ACL injuries using deep learning involved use of two types of CNN, one with three-dimensional (3D) and the other with two-dimensional (2D) convolutional kernels. Performance metrics included sensitivity, specificity, weighted Cohen κ, and overall accuracy, and the McNemar test was used to compare the performance of the CNNs. RESULTS: The overall accuracies for ACL injury classification using the 3D CNN and 2D CNN were 89% (225 of 254) and 92% (233 of 254), respectively (P = .27), and both CNNs had a weighted Cohen κ of 0.83. The 2D CNN and 3D CNN performed similarly in classifying intact ACLs (2D CNN, sensitivity of 93% [188 of 203] and specificity of 90% [46 of 51] vs 3D CNN, sensitivity of 89% [180 of 203] and specificity of 88% [45 of 51]). Classification of full tears by both networks was also comparable (2D CNN, sensitivity of 82% [14 of 17] and specificity of 94% [222 of 237] vs 3D CNN, sensitivity of 76% [13 of 17] and specificity of 100% [236 of 237]). The 2D CNN classified all reconstructed ACLs correctly. CONCLUSION: Two-dimensional and 3D CNNs applied to ACL lesion classification had high sensitivity and specificity, suggesting that these networks could be used to help nonexperts grade ACL injuries. Supplemental material is available for this article. © RSNA, 2020.