Faculty Bibliography

OBJECTIVES/OBJECTIVE:This study investigates the prevalence of the use of reusable menstrual materials in LMICs, examines differences in prevalence between countries and areas, and identifies individual and country-level factors associated with their use. METHODS:Data from Multiple Indicator Cluster surveys conducted between 2017 and 2020 in LMICs were used. Prevalence estimates and 95% CIs were calculated for overall, rural, and urban areas. Multivariable logistic regression was used to identify individual and country-level factors associated with the use of reusable menstrual materials. RESULTS:The study included 42 surveys from LMICs, with 1653850 weighted women and girls aged 15-49 years. The overall prevalence of the use of reusable menstrual materials was 12.1% (95% CI 12.1-12.2), with significant variation between and within countries, ranging from 0.5% (0.3-0.8) in Serbia to 97.2% (96.5-97.9) in Sao Tome and Principe. The prevalence was higher in rural areas (23.9% [23.8-24.0]) than in urban areas (6.2% [6.2-6.2]), with significant differences between most countries. Use of reusable menstrual materials was associated with lower education levels, being married, low economic status, living in Asia and Africa, living in countries with lower GDP, living in rural areas, and limited availability of private places to wash menstrual materials. The prevalence of the use of reusable menstrual materials had an inverse linear relationship with the country's GDP. CONCLUSIONS:The study found that the use of reusable menstrual materials is more prevalent among women and girls in rural areas, those with lower education levels, lower economic status, and those living in countries with lower GDP. Given these disparities, policies and initiatives targeted at improving menstrual health in LMICs should focus on socioeconomically disadvantaged groups to ensure they have access to safe and appropriate menstrual materials.

OBJECTIVE/UNASSIGNED:Circulating microRNAs show cross-sectional associations with overweight and obesity. Few studies provided data to differentiate between a snapshot perspective on these associations versus how microRNAs characterize prodromal risk from disease pathology and complications. This study assessed longitudinal relationships between circulating microRNAs and weight at multiple time-points in the Diabetes Prevention Program trial. RESEARCH DESIGN AND METHODS/UNASSIGNED:A subset of participants (n=150) from the Diabetes Prevention Program were included. MicroRNAs were measured from banked plasma using a Fireplex Assay. We used generalized linear mixed models to evaluate relationships between microRNAs and changes in weight at baseline, year-1, and year-2. Logistic regression was used to evaluate whether microRNAs at baseline were associated with weight change after 2 years. RESULTS/UNASSIGNED:In fully adjusted models that included relevant covariates, seven miRs (i.e., miR-126, miR-15a, miR-192, miR-23a, and miR-27a) were statistically associated with weight over 2 years. MiR-197 and miR-320a remained significant after adjustment for multiple comparisons. Baseline levels of let-7f, miR-17, and miR-320c were significantly associated with 3% weight loss after 2 years in fully adjusted models. DISCUSSION/UNASSIGNED:This study provided evidence for longitudinal relationships between circulating microRNAs and weight. Because microRNAs characterize the combined effects of genetic determinants and responses to behavioral determinants, they may provide insights about the etiology of overweight and obesity in the context or risk for common, complex diseases. Additional studies are needed to validate the potential genes and biological pathways that might be targeted by these microRNA biomarkers and have mechanistic implications for weight loss and disease prevention.

CT and MR enterography are cross-sectional imaging examinations used in the assessment of inflammatory bowel disease. Consistent reporting and standardized nomenclature are important for clear communication with referring clinicians. Enterography has not only been used to depict inflammation in the small bowel, but it has also been used to quantify disease activity, assess distribution of disease, and detect complications including penetrating disease. This article reviews cross-sectional imaging findings in inflammatory bowel disease, including the current literature focusing on small bowel Crohn's disease and ulcerative colitis, with evidence-based guidelines on appropriate protocols and imaging procedures.

BACKGROUND:Generative artificial intelligence (AI) and large language models, such as OpenAI's ChatGPT, have shown promising potential in supporting medical education and clinical decision-making, given their vast knowledge base and natural language processing capabilities. As a general purpose AI system, ChatGPT can complete a wide range of tasks, including differential diagnosis without additional training. However, the specific application of ChatGPT in learning and applying a series of specialized, context-specific tasks mimicking the workflow of a human assessor, such as administering a standardized assessment questionnaire, followed by inputting assessment results in a standardized form, and interpretating assessment results strictly following credible, published scoring criteria, have not been thoroughly studied. OBJECTIVE:This exploratory study aims to evaluate and optimize ChatGPT's capabilities in administering and interpreting the Sour Seven Questionnaire, an informant-based delirium assessment tool. Specifically, the objectives were to train ChatGPT-3.5 and ChatGPT-4 to understand and correctly apply the Sour Seven Questionnaire to clinical vignettes using prompt engineering, assess the performance of these AI models in identifying and scoring delirium symptoms against scores from human experts, and refine and enhance the models' interpretation and reporting accuracy through iterative prompt optimization. METHODS:We used prompt engineering to train ChatGPT-3.5 and ChatGPT-4 models on the Sour Seven Questionnaire, a tool for assessing delirium through caregiver input. Prompt engineering is a methodology used to enhance the AI's processing of inputs by meticulously structuring the prompts to improve accuracy and consistency in outputs. In this study, prompt engineering involved creating specific, structured commands that guided the AI models in understanding and applying the assessment tool's criteria accurately to clinical vignettes. This approach also included designing prompts to explicitly instruct the AI on how to format its responses, ensuring they were consistent with clinical documentation standards. RESULTS:Both ChatGPT models demonstrated promising proficiency in applying the Sour Seven Questionnaire to the vignettes, despite initial inconsistencies and errors. Performance notably improved through iterative prompt engineering, enhancing the models' capacity to detect delirium symptoms and assign scores. Prompt optimizations included adjusting the scoring methodology to accept only definitive "Yes" or "No" responses, revising the evaluation prompt to mandate responses in a tabular format, and guiding the models to adhere to the 2 recommended actions specified in the Sour Seven Questionnaire. CONCLUSIONS:Our findings provide preliminary evidence supporting the potential utility of AI models such as ChatGPT in administering standardized clinical assessment tools. The results highlight the significance of context-specific training and prompt engineering in harnessing the full potential of these AI models for health care applications. Despite the encouraging results, broader generalizability and further validation in real-world settings warrant additional research.

In 2022, 1 in 8 people in the world were living with obesity, and lifestyle interventions that include diet, exercise, and behavioral modification have been the foundation for management of obesity. Recently, pharmacologic therapies have been developed for management of obesity, the newest of these being glucagon-like peptide 1 receptor agonists. With the development of new pharmacologic options, the American Gastroenterological Association developed a guideline in 2022 to provide evidence-based recommendations for the pharmacologic management of obesity in adults and recommended, for adults with obesity or overweight with weight-related complications who have had an inadequate response to lifestyle interventions, adding pharmacologic agents to lifestyle interventions over continuing lifestyle interventions alone. In this article, 2 experts review the available evidence to answer the following questions: How effective are lifestyle interventions for the treatment of obesity? How effective are pharmacologic interventions for the treatment of obesity? Given these options, how do you engage in a shared decision-making discussion to develop a mutually agreed-on treatment plan?

BACKGROUND:concentrations have been demonstrated to be exceptionally high when underground, however. Studies on the impact of subway PM exposure on cardiopulmonary health in the United States are limited. METHODS:concentrations and visit type (i.e., subway vs. control). RESULTS:, respectively. There was no change in any of the health metrics, but there was a non-significant trend for SDNN to be lower after subway exposure compared to control exposure. Total symptomatic scores did increase post-subway exposure compared to reported values prior to exposure or after the control visit. No significant changes in cytokine concentrations in any specimen type were observed. Mixed-effects models mostly corroborated these paired comparisons. CONCLUSIONS:Acute exposures to PM on a subway platform do not cause measurable cardiopulmonary effects apart from reductions in HRV and increases in symptoms in healthy volunteers. These findings match other studies that found little to no changes in lung function and blood pressure after exposure in underground subway stations. Future work should still target potentially more vulnerable populations, such as individuals with asthma or those who spend increased time underground on the subway such as transit workers.

Treatment with the hypomethylating agent 5-azacytidine (AZA) increases survival in high-risk (HR) myelodysplastic syndrome (MDS) patients, but predicting patient response and overall survival remains challenging. To address these issues, we analyzed mutational and transcriptional profiles in CD34+ hematopoietic stem/progenitor cells (HSPCs) before and following AZA therapy in MDS patients. AZA treatment led to a greater reduction in the mutational burden in both blast and hematological responders than non-responders. Blast and hematological responders showed transcriptional evidence of pre-treatment enrichment for pathways such as oxidative phosphorylation, MYC targets, and mTORC1 signaling. While blast non-response was associated with TNFa signaling and leukemia stem cell signature, hematological non-response was associated with cell-cycle related pathways. AZA induced similar transcriptional responses in MDS patients regardless of response type. Comparison of blast responders and non-responders to normal controls, allowed us to generate a transcriptional classifier that could predict AZA response and survival. This classifier outperformed a previously developed gene signature in a second MDS patient cohort, but signatures of hematological responses were unable to predict survival. Overall, these studies characterize the molecular consequences of AZA treatment in MDS HSPCs and identify a potential tool for predicting AZA therapy responses and overall survival prior to initiation of therapy.

Conscientious objection is a legally protected right of medical professionals to recuse themselves from patient care activities that conflict with their personal values. Anesthesiology is different from most specialties with respect to conscientious objection in that the focus is to facilitate safe, efficient, and successful performance of procedures by others, rather than to perform the treatment in question. This could give rise to a unique, somewhat indirect ethical tension between the application of conscientious objection and potential infringement upon patient autonomy and well-being. While some situations have clear grounds and precedent for conscientious objection (e.g., abortion, or futile procedures), newer procedures, such as gender-affirming surgery and xenotransplantation, may trigger conscientious objection for complex reasons. This review discusses ethical, legal, and practical aspects of conscientious objection; challenges to anesthesia groups, departments, and healthcare organizations when conscientious objection is invoked by anesthesiologists; and strategies to help mitigate the ethical dilemmas.