Descriptive Analysis of Vitreoretinal Surgery Fellowship Program Directors.

Purpose: To evaluate the demographic, educational, and scholarly characteristics of Association of University Professors of Ophthalmology-accredited vitreoretinal surgery fellowship program directors in the United States and Canada. Methods: Demographic, educational, and scholarly profiles of identified program directors were collated from online public resources. Characteristics were compared by sex, program size, ranking, and affiliation. Results: Eighty-one program directors (mean age [±SD] 54.7 ± 11.0 years) from 78 fellowship programs were identified. The minority were women (14.8%), who were on average 6 years younger than their male counterparts (P = .07). The majority of program directors had an academic affiliation (90.1%), most commonly professor (54.8%). The mean h-index, 5-year h-index, and m-quotient were 20.9 ± 14.9, 5.9 ± 4.4, and 0.82 ± 0.42, respectively. Compared with their counterparts, program directors of both "top 10" and large programs published more manuscripts (P < .05), accrued more citations (P < .05), and had a higher h-index (P < .05). Fellowship programs with female program directors had a significantly larger proportion of female retina faculty (P = .002). Conclusions: The backgrounds of vitreoretinal surgery program directors are diverse. However, women remain underrepresented in this position, highlighting an area with the potential for greater equity in ophthalmology.

Granular Insights: Neutrophil Predominance and Elastase Release in Severe Asthma Exacerbations in a Pediatric Cohort.

The chronic inflammatory component of asthma is propagated by granulocytes, including neutrophils and eosinophils, in the peripheral circulation and airway. Previous studies have suggested that these cells have an altered expression of adhesion-related molecules and a propensity for the release of granule contents that may contribute to tissue damage and enhance inflammatory complications in patients with status asthmaticus. The goal of this prospective cohort study at a tertiary care pediatric hospital with a large population of asthma patients was to assess the role of granulocyte-based inflammation in the development of asthma exacerbation. Subjects were enrolled from two patient populations: those with mild-to-moderate asthma exacerbations seen in the emergency department and those with severe asthma admitted to the intensive care unit (PICU). Clinical data were collected, and blood was drawn. Granulocytes were immediately purified, and the phenotype was assessed, including the expression of cell surface markers, elastase release, and cytokine production. Severe asthmatics admitted to the PICU displayed a significantly higher total neutrophil count when compared with healthy donors. Moreover, little to no eosinophils were found in granulocyte preparations from severe asthmatics. Circulating neutrophils from severe asthmatics admitted to the PICU displayed significantly increased elastase release ex vivo when compared with the PMN from healthy donors. These data suggest that the neutrophil-based activation and release of inflammatory products displayed by severe asthmatics may contribute to the propagation of asthma exacerbations.

Angiomyolipoma With Epithelial Cysts: A Rare but Distinct Variant of Angiomyolipoma.

Renal angiomyolipomas, common benign tumors, can exhibit slow growth in sporadic cases or have aggressive tendencies when linked to genetic conditions like tuberous sclerosis. This case report focuses on the exceptionally rare angiomyolipoma with epithelial cysts (AMLEC) variant, particularly challenging to diagnose due to its scarcity. Describing a 41-year-old woman's case, initially suspected to be renal cell carcinoma during an infertility evaluation, subsequent partial nephrectomy revealed a tumor comprising smooth muscle, blood vessels, and fat, with cystic regions featuring cuboidal linings and a layer devoid of abnormal cell activity. Immunohistochemistry confirmed specific markers within different tumor components, highlighting the diagnostic complexities of AMLEC and emphasizing the crucial role of histopathological examinations in accurate characterizations.

Artificial Intelligence as a Triage Tool during the Perioperative Period: Pilot Study of Accuracy and Accessibility for Clinical Application.

Background: Given the dialogistic properties of ChatGPT, we hypothesized that this artificial intelligence (AI) function can be used as a self-service tool where clinical questions can be directly answered by AI. Our objective was to assess the content, accuracy, and accessibility of AI-generated content regarding common perioperative questions for reduction mammaplasty. Methods: ChatGPT (OpenAI, February Version, San Francisco, Calif.) was used to query 20 common patient concerns that arise in the perioperative period of a reduction mammaplasty. Searches were performed in duplicate for both a general term and a specific clinical question. Query outputs were analyzed both objectively and subjectively. Descriptive statistics, t tests, and chi-square tests were performed where appropriate with a predetermined level of significance of P less than 0.05. Results: From a total of 40 AI-generated outputs, mean word length was 191.8 words. Readability was at the thirteenth grade level. Regarding content, of all query outputs, 97.5% were on the appropriate topic. Medical advice was deemed to be reasonable in 100% of cases. General queries more frequently reported overarching background information, whereas specific queries more frequently reported prescriptive information (P < 0.0001). AI outputs specifically recommended following surgeon provided postoperative instructions in 82.5% of instances. Conclusions: Currently available AI tools, in their nascent form, can provide recommendations for common perioperative questions and concerns for reduction mammaplasty. With further calibration, AI interfaces may serve as a tool for fielding patient queries in the future; however, patients must always retain the ability to bypass technology and be able to contact their surgeon.

Epidemiologic Trends in Ophthalmic Trauma Related to Major Sports: An NEISS Study.

PURPOSE: To examine trends in ophthalmic trauma secondary to five major sports (baseball, soccer, tennis, football, basketball) and identify differences between patient characteristics and time period (pre-COVID vs COVID) of injury. METHODS: The National Electronic Injury Surveillance System was queried to extract cases related to the sports of interest from 2011-2020. Entries were analyzed by age, sex, diagnosis, location, and disposition, with narrative descriptions assessed to characterize the mechanism of injury and visual sequelae. National incidence was extrapolated and Pearson's ?2 and Fisher's exact tests were performed. RESULTS: Among 98,995 presentations, most involved male (83.5%) and pediatric patients (59.2%). Contusion/abrasion (57.3%) was the predominant diagnosis, with injuries primarily precipitated by contact with a ball (44.9%) and occurring in the recreational setting (49.0%). Visual sequelae were documented in 6.4% of injuries. Patients were commonly treated/examined and released (95.6%). Between sports, significant differences in diagnosis (p < .001), mechanism of injury (p < .001), location (p < .001), visual sequelae (p < .001), and disposition (p = .005) were observed. Stratification by age indicated significant differences in diagnosis, mechanism of injury, and location (all p < .001). Stratification by sex indicated significant differences in the mechanism of injury (p < .001) and visual sequelae (p = .04). Stratification by time period indicated significant differences in diagnosis (p = .002) and mechanism of injury (p = .001). CONCLUSION: There are notable differences in sports-related ocular injuries by patient characteristic, revealing important considerations for their clinical evaluation and the development of safety guidelines.

Evaluating the Artificial Intelligence Performance Growth in Ophthalmic Knowledge.

OBJECTIVE: We aim to compare the capabilities of Chat Generative Pre-Trained Transformer (ChatGPT)-3.5 and ChatGPT-4.0 (OpenAI, San Francisco, CA, USA) in addressing multiple-choice ophthalmic case challenges. METHODS AND ANALYSIS: Both models' accuracy was compared across different ophthalmology subspecialties using multiple-choice ophthalmic clinical cases provided by the American Academy of Ophthalmology (AAO) "Diagnosis This" questions. Additional analysis was based on image content, question difficulty, character length of models' responses, and model's alignment with responses from human respondents. χ2 test, Fisher's exact test, Student's t-test, and one-way analysis of variance (ANOVA) were conducted where appropriate, with p<0.05 considered significant. RESULTS: GPT-4.0 significantly outperformed GPT-3.5 (75% versus 46%, p<0.01), with the most noticeable improvement in neuro-ophthalmology (100% versus 38%, p=0.03). While both models struggled with uveitis and refractive questions, GPT-4.0 excelled in other areas, such as pediatric questions (82%). In image-related questions, GPT-4.0 also displayed superior accuracy that trended toward significance (73% versus 46%, p=0.07). GPT-4.0 performed better with easier questions (93.8% (least difficult) versus 76.2% (middle) versus 53.3% (most), p=0.03) and generated more concise answers than GPT-3.5 (651.7±342.9 versus 1,112.9±328.8 characters, p<0.01). Moreover, GPT-4.0's answers were more in line with those of AAO respondents (57.3% versus 41.4%, p<0.01), showing a strong correlation between its accuracy and the proportion of AAO respondents who selected GPT-4.0's answer (ρ=0.713, p<0.01). CONCLUSION AND RELEVANCE: Our study demonstrated that GPT-4.0 significantly outperforms GPT-3.5 in addressing ophthalmic case challenges, especially in neuro-ophthalmology, with improved accuracy even in image-related questions. These findings underscore the potential of advancing artificial intelligence (AI) models in enhancing ophthalmic diagnostics and medical education.

Altmetric analysis of the most mentioned articles online in the orthopaedic literature.

Social media has become a valuable tool for the distribution of scientific content. This investigation examined the most mentioned articles in orthopaedics and identified factors concurrent with greater dissemination. Altmetric Attention Score (AAS), which measures the online attention of an article, was examined for 88,683 publications in the top 50 orthopaedic journals by 2021 impact factor. Comparative and correlational analyses were completed. Overall, average AAS and citation count of the 100 most mentioned articles were 606.7 (SD ± 272.0) and 67.55 (SD ± 98.01), respectively. These articles had primarily male first authors (75%), were produced predominantly in the United States (60%), concerned the subspecialty of sports medicine (28%), and were cross-sectional analyses (22%). There were significant differences in AAS between publications (p < 0.05) by the degree of collaboration and the type of article. Such insights can guide authors when considering avenues to increase the impact of their research.

Examination of the Novel National Institutes of Health-Supported Relative Citation Ratio, a Measure of Research Productivity, Among Academic Plastic Surgeons.

BACKGROUND: Considerable interest has been devoted to quantifying research productivity for the purposes of academic appointment and promotion in plastic surgery. A novel bibliometric, the relative citation ratio (RCR), integrates features unavailable in prior metrics, such as the h-index, including the ability to compare researchers in distinct fields. This investigation examines the RCR in relation to established measures of academic productivity and provides the benchmark data in plastic surgery. METHODS: Online sources were queried to identify the characteristics of 955 academic plastic surgeons from 94 programs, ie, academic rank, gender, degrees, and fellowships. Bibliometric data were acquired using the iCite and Scopus databases. Comparative and correlational analyses of variables were performed. RESULTS: Academic plastic surgeons were exceptionally productive, with a mean RCR of 1.20 (interquartile range, 0.79-1.67) and a weighted RCR of 17.68 (interquartile range, 5.14-52.48). Increased mean RCR was significantly associated with advanced academic rank and fellowship training. Increased weighted RCR was significantly associated with advanced academic rank, male gender, PhD acquisition, publication experience, and fellowship training. The h-index was weakly correlated with mean RCR but strongly correlated with weighted RCR and publication experience. CONCLUSIONS: The RCR was associated with established markers of academic productivity, indicating its validity as a reliable field-normalized measure for the evaluation of plastic surgery faculty. Because scholarly output is a potential factor with respect to decisions of hiring, promotion, and allocation of funding, this modality of standardized comparison is paramount for plastic surgeons who exist within a larger general surgery department.

Examining the Role of Telemedicine in Diabetic Retinopathy.

With the increasing prevalence of diabetic retinopathy (DR), screening is of the utmost importance to prevent vision loss for patients and reduce financial costs for the healthcare system. Unfortunately, it appears that the capacity of optometrists and ophthalmologists to adequately perform in-person screenings of DR will be insufficient within the coming years. Telemedicine offers the opportunity to expand access to screening while reducing the economic and temporal burden associated with current in-person protocols. The present literature review summarizes the latest developments in telemedicine for DR screening, considerations for stakeholders, barriers to implementation, and future directions in this area. As the role of telemedicine in DR screening continues to expand, further work will be necessary to continually optimize practices and improve long-term patient outcomes.

Ophthalmologist Turnover in the United States: Analysis of Workforce Changes from 2014 through 2021.

PURPOSE: Physician turnover is costly to health care systems and affects patient experience due to discontinuity of care. This study aimed to assess the frequency of turnover by ophthalmologists and identify physician and practice characteristics associated with turnover. DESIGN: Retrospective cross-sectional study. PARTICIPANTS: Actively practicing United States ophthalmologists included in the Centers for Medicare and Medicaid Services Physician Compare and Physician and Other Supplier Public Use File between 2014 and 2021. METHODS: We collected data for each ophthalmologist that was associated with practice/institution and then calculated the rate of turnover both annually in each year window and cumulatively as the total proportion from 2014 to 2021. Multivariable logistic regression analysis was used to identify physician and practice characteristics associated with turnover. We also evaluated turnover characteristics surrounding the Coronavirus disease 2019 (COVID-19) pandemic. MAIN OUTCOME MEASURES: Ophthalmologist turnover, defined as a change of an ophthalmologist's National Provider Identifier practice affiliation from one year to the next. RESULTS: Of 13 264 ophthalmologists affiliated with 3306 unique practices, 34.1% separated from at least 1 practice between 2014 and 2021. Annual turnover ranged from 3.7% (2017) to 19.4% (2018), with an average rate of 9.4%. Factors associated with increased turnover included solo practice (adjusted odds ratio [aOR], 9.59), university affiliation (aOR, 1.55), practice location in the Northeast (aOR, 1.39), and practice size of 2 to 4 members (aOR, 1.21; P < 0.05 for all). Factors associated with decreased turnover included male gender (aOR, 0.87) and more than 5 years of practice: 6 to 10 years (aOR, 0.63), 11 to 19 years (aOR, 0.54), 20 to 29 years (aOR, 0.36), and ≥ 30 years (aOR, 0.18; P < 0.05 for all). In the initial year (2020) of the COVID-19 pandemic, annual turnover increased from 7.8% to 11.0%, then decreased to 8.7% in the postvaccine period (2021). CONCLUSIONS: One-third of United States ophthalmologists separated from at least 1 practice from 2014 through 2021. Turnover patterns differed by various physician and practice characteristics, which may be used to develop future strategies for workforce stability. Because administrative data cannot solely determine reasons for turnover, further investigation is warranted given the potential clinical and financial implications. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Harvesting the Power of Artificial Intelligence for Surgery: Uses, Implications, and Ethical Considerations.

Artificial intelligence is rapidly advancing, especially with the advent of ChatGPT technology, and its role in the world of medicine is expanding. Within surgery, AI has the capacity to improve efficiency and results in surgical treatments; however, it similarly has the potential to impose harm onto patients and undermine the role of medical providers. Its benefits may include improvements in surgical outcomes, spanning from enhanced pre-operative diagnostic capabilities to more refined intra-operative techniques, and long term patient experiences, by identifying and reducing complications. Nevertheless apprehensions revolve around laymen use potentially resulting in inappropriate therapeutic interventions, in addition to safety and ethical risks surrounding the use of patient data. Various strategies towards mitigating these harms must be considered, such as patient disclaimers and secondary review policies. While artificial intelligence brings exciting advancements to surgery, its integration must be cautiously monitored.

Geographic Trends in General Surgery Resident Compensation Across the United States.

OBJECTIVE: To examine the effect of cost of living on general surgery resident salaries and identify factors associated with greater incomes and availability of housing stipends. DESIGN: Retrospective cross-sectional analysis of Fellowship and Residency Electronic Interactive Database (FREIDA), institutional websites, and Doximity. Program characteristics were compared through Kruskal-Wallis tests, ANOVA, and χ2 tests. Multivariable linear mixed modeling and multivariable logistic regression were utilized to determine factors associated with higher salary and availability of housing stipend, respectively. SETTING: Three-hundred fifty-one general surgery residency programs in the United States. PARTICIPANTS: Three-hundred-seven general surgery residency programs with available salary data for the 2022 to 2023 academic year. RESULTS: The average postgraduate year 1 resident annual salary was $59,906.00 (standard deviation [SD] ± $5051.97). After adjustment for the cost of living, the average annual income surplus was $22,428.42 (SD ± $4848.64). Cost of living and resident remuneration varied substantially across regions (p < 0.001). Annual income surplus was the highest for programs in the Northeast when compared to other regions (p < 0.001). Resident annual income increased by $510 (95% confidence interval [CI] $430-$590) for each $1000 increase in the cost of living and $150 (95% CI $80-$210) for each 10-rank increase in Doximity general surgery program reputation ranking. An increased cost of living was associated with a higher likelihood of housing stipend availability (odds ratio 1.17, 95% CI 1.07-1.28). CONCLUSIONS: General surgery residents are inadequately compensated for the cost of living, indicating the potential for increased compensation to alleviate economic strain of surgical trainees. As financial stress can have implications for mental and physical well-being, further discussion of current resident salaries and benefits is warranted.