A scoping review of artificial intelligence in medical education: BEME Guide No. 84.

BACKGROUND: Artificial Intelligence (AI) is rapidly transforming healthcare, and there is a critical need for a nuanced understanding of how AI is reshaping teaching, learning, and educational practice in medical education. This review aimed to map the literature regarding AI applications in medical education, core areas of findings, potential candidates for formal systematic review and gaps for future research. METHODS: This rapid scoping review, conducted over 16 weeks, employed Arksey and O'Malley's framework and adhered to STORIES and BEME guidelines. A systematic and comprehensive search across PubMed/MEDLINE, EMBASE, and MedEdPublish was conducted without date or language restrictions. Publications included in the review spanned undergraduate, graduate, and continuing medical education, encompassing both original studies and perspective pieces. Data were charted by multiple author pairs and synthesized into various thematic maps and charts, ensuring a broad and detailed representation of the current landscape. RESULTS: The review synthesized 278 publications, with a majority (68%) from North American and European regions. The studies covered diverse AI applications in medical education, such as AI for admissions, teaching, assessment, and clinical reasoning. The review highlighted AI's varied roles, from augmenting traditional educational methods to introducing innovative practices, and underscores the urgent need for ethical guidelines in AI's application in medical education. CONCLUSION: The current literature has been charted. The findings underscore the need for ongoing research to explore uncharted areas and address potential risks associated with AI use in medical education. This work serves as a foundational resource for educators, policymakers, and researchers in navigating AI's evolving role in medical education. A framework to support future high utility reporting is proposed, the FACETS framework.

A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) Study.

BACKGROUND: The growing amount of high dimensional biomolecular data has spawned new statistical and computational models for risk prediction and disease classification. Yet, many of these methods do not yield biologically interpretable models, despite offering high classification accuracy. An exception, the top-scoring pair (TSP) algorithm derives parameter-free, biologically interpretable single pair decision rules that are accurate and robust in disease classification. However, standard TSP methods do not accommodate covariates that could heavily influence feature selection for the top-scoring pair. Herein, we propose a covariate-adjusted TSP method, which uses residuals from a regression of features on the covariates for identifying top scoring pairs. We conduct simulations and a data application to investigate our method, and compare it to existing classifiers, LASSO and random forests. RESULTS: Our simulations found that features that were highly correlated with clinical variables had high likelihood of being selected as top scoring pairs in the standard TSP setting. However, through residualization, our covariate-adjusted TSP was able to identify new top scoring pairs, that were largely uncorrelated with clinical variables. In the data application, using patients with diabetes (n = 977) selected for metabolomic profiling in the Chronic Renal Insufficiency Cohort (CRIC) study, the standard TSP algorithm identified (valine-betaine, dimethyl-arg) as the top-scoring metabolite pair for classifying diabetic kidney disease (DKD) severity, whereas the covariate-adjusted TSP method identified the pair (pipazethate, octaethylene glycol) as top-scoring. Valine-betaine and dimethyl-arg had, respectively, ≥ 0.4 absolute correlation with urine albumin and serum creatinine, known prognosticators of DKD. Thus without covariate-adjustment the top-scoring pair largely reflected known markers of disease severity, whereas covariate-adjusted TSP uncovered features liberated from confounding, and identified independent prognostic markers of DKD severity. Furthermore, TSP-based methods achieved competitive classification accuracy in DKD to LASSO and random forests, while providing more parsimonious models. CONCLUSIONS: We extended TSP-based methods to account for covariates, via a simple, easy to implement residualizing process. Our covariate-adjusted TSP method identified metabolite features, uncorrelated from clinical covariates, that discriminate DKD severity stage based on the relative ordering between two features, and thus provide insights into future studies on the order reversals in early vs advanced disease states.

Missing Voices: What Early Career Hospitalists View as Essential in Hospital Medicine-Focused Education.

OBJECTIVES: Acknowledging that a successful career in hospital medicine (HM) requires specialized skills, residency programs have developed hospital medicine-focused education (HMFE) programs. Surveys of Internal Medicine residency leaders have described HMFE curricula but are limited to that specialty and lack perspectives from early career hospitalists (ECHs) who recently completed this training. As such, we surveyed multispecialty ECHs to evaluate their preferences for HMFE and to identify gaps in standard residency training and career development that HMFE can bridge. The objectives of our study were to describe multispecialty ECH needs and preferences for HMFE and to identify gaps in standard residency training and career development that HMFE can bridge. METHODS: From February to March 2021, ECHs (defined as hospitalists within 0-5 years from residency) were surveyed using the Society of Hospital Medicine's listserv. Respondents identified as having participated in HMFE or not during residency (defining them as HMFE participants or non-HMFE participants). RESULTS: From 257 respondents, 84 (33%) ECHs met inclusion criteria. Half (n = 42) were HMFE participants. ECHs ranked clinical hospitalist career preparation (86%) and mentorship from HM faculty (85%) as the most important gaps in standard residency training and career development that HMFE can bridge. Other key components of HMFE included exposure to quality improvement, patient safety, and high-value care (67%); provision of autonomy through independent rounding (54%); and preparation for the job application process (70%). CONCLUSIONS: Multispecialty ECHs describe HMFE as positively influencing their decision to pursue a hospitalist career and increasing their preparedness for practice. HMFE may be particularly well suited to foster advanced clinical skills such as independent rounding, critical thinking, and self-reflection. We propose an organizing framework for HMFE in residency that may assist in the implementation and innovation of HMFE programs nationwide and in the development of standardized HMFE competencies.

A Multicenter Observational Study Comparing Virtual with In-Person Morning Reports during the COVID-19 Pandemic.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic disrupted how educational conferences were delivered, leaving programs to choose between in-person and virtual morning report formats. The objective of our study was to describe morning reports during the COVID-19 pandemic, including the use of virtual formats, attendance, leadership, and content. METHODS: A prospective observational study of morning reports was conducted at 13 Internal Medicine residency programs between September 1, 2020 and March 30, 2021, including a follow-up survey of current morning report format in January 2023. RESULTS: In total, 257 reports were observed; 74% used virtual formats, including single hospital, multiple hospital, and a hybrid format with both in-person and virtual participants. Compared with in-person reports, virtual reports had more participants, with increased numbers of learners (median 21 vs 7; P < 0.001) and attendings (median 4 vs 2; P < 0.001), and they were more likely to involve medical students (83% vs 40%; P < 0.001), interns (99% vs 53%; P < 0.001), and program directors (68% vs 32%; P < 0.001). Attendings were less likely to lead virtual reports (3% vs 28%, P < 0.001). Virtual reports also were more likely to be case based (88% vs 69%; P < 0.001) and to use digital presentation slides (91% vs 36%; P < 0.001). There was a marked increase in the number of slides (median 20 vs 0; P < 0.001). As of January 2023, all 13 programs had returned to in-person reports, with only 1 program offering an option to participate virtually. CONCLUSIONS: During the COVID-19 pandemic, virtual morning report formats predominated. Compared with traditional in-person reports, virtual report increased attendance, favored resident leadership, and approached a similar range of patient diagnoses with a greater number of case-based presentations and slides. In spite of these characteristics, all programs returned to an in-person format for morning report as pandemic restrictions waned.

What internal medicine attendings talk about at morning report: a multicenter study.

BACKGROUND: Morning report is a core educational activity in internal medicine resident education. Attending physicians regularly participate in morning report and influence the learning environment, though no previous study has described the contribution of attending physicians to this conference. This study aims to describe attending comments at internal medicine morning reports. METHODS: We conducted a prospective, observational study of morning reports conducted at 13 internal medicine residency programs between September 1, 2020, and March 30, 2021. Each attending comment was described including its duration, whether the comment was teaching or non-teaching, teaching topic, and field of practice of the commenter. We also recorded morning report-related variables including number of learners, report format, program director participation, and whether report was scripted (facilitator has advance knowledge of the case). A regression model was developed to describe variables associated with the number of attending comments per report. RESULTS: There were 2,344 attending comments during 250 conferences. The median number of attendings present was 3 (IQR, 2-5). The number of comments per report ranged across different sites from 3.9 to 16.8 with a mean of 9.4 comments/report (SD, 7.4). 66% of comments were shorter than one minute in duration and 73% were categorized as teaching by observers. The most common subjects of teaching comments were differential diagnosis, management, and testing. Report duration, number of general internists, unscripted reports, and in-person format were associated with significantly increased number of attending comments. CONCLUSIONS: Attending comments in morning report were generally brief, focused on clinical teaching, and covered a wide range of topics. There were substantial differences between programs in terms of the number of comments and their duration which likely affects the local learning environment. Morning report stakeholders that are interested in increasing attending involvement in morning report should consider employing in-person and unscripted reports. Additional studies are needed to explore best practice models of attending participation in morning report.

Multiple cArdiac seNsors for mAnaGEment of Heart Failure (MANAGE-HF) - Phase I Evaluation of the Integration and Safety of the HeartLogic Multisensor Algorithm in Patients With Heart Failure.

BACKGROUND: Patients with heart failure (HF) and reduced ejection fraction suffer from a relapsing and remitting disease course, where early treatment changes may improve outcomes. We assessed the clinical integration and safety of the HeartLogic multisensor index and alerts in HF care. METHODS: The Multiple cArdiac seNsors for mAnaGEment of Heart Failure (MANAGE-HF) study enrolled 200 patients with HF and reduced ejection fraction (<35%), New York Heart Association functional class II-III symptoms, implanted with a cardiac resynchronization therapy-defibrillator or and implantable cardioverter defibrillator, who had either a hospitalization for HF within 12 months or unscheduled visit for HF exacerbation within 90 days or an elevated natriuretic peptide concentration (brain natriuretic peptide [BNP] of ≥150 pg/mL or N-terminal pro-BNP [NT-proBNP] of ≥600 pg/mL). This phase included the development of an alert management guide and evaluated changes in medical treatment, natriuretic peptide levels, and safety. RESULTS: The mean age of participants was 67 years, 68% were men, 81% were White, and 61% had a HF hospitalization in prior 12 months. During follow-up, there were 585 alert cases with an average of 1.76 alert cases per patient-year. HF medications were augmented during 74% of the alert cases. HF treatment augmentation within 2 weeks from an initial alert was associated with more rapid recovery of the HeartLogic Index. Five serious adverse events (0.015 per patient-year) occurred in relation to alert-prompted medication change. NTproBNP levels decreased from median of 1316 pg/mL at baseline to 743 pg/mL at 12 months (P < .001). CONCLUSIONS: HeartLogic alert management was safely implemented in HF care and may optimize HF management. This phase supports further evaluation in larger studies. TRIAL REGISTRATION: ClinicalTrials.gov (NCT03237858).

High-Throughput Metabolomics and Diabetic Kidney Disease Progression: Evidence from the Chronic Renal Insufficiency (CRIC) Study.

INTRODUCTION: Metabolomics could offer novel prognostic biomarkers and elucidate mechanisms of diabetic kidney disease (DKD) progression. Via metabolomic analysis of urine samples from 995 CRIC participants with diabetes and state-of-the-art statistical modeling, we aimed to identify metabolites prognostic to DKD progression. METHODS: Urine samples (N = 995) were assayed for relative metabolite abundance by untargeted flow-injection mass spectrometry, and stringent statistical criteria were used to eliminate noisy compounds, resulting in 698 annotated metabolite ions. Utilizing the 698 metabolites' ion abundance along with clinical data (demographics, blood pressure, HbA1c, eGFR, and albuminuria), we developed univariate and multivariate models for the eGFR slope using penalized (lasso) and random forest models. Final models were tested on time-to-ESKD (end-stage kidney disease) via cross-validated C-statistics. We also conducted pathway enrichment analysis and a targeted analysis of a subset of metabolites. RESULTS: Six eGFR slope models selected 9-30 variables. In the adjusted ESKD model with highest C-statistic, valine (or betaine) and 3-(4-methyl-3-pentenyl)thiophene were associated (p < 0.05) with 44% and 65% higher hazard of ESKD per doubling of metabolite abundance, respectively. Also, 13 (of 15) prognostic amino acids, including valine and betaine, were confirmed in the targeted analysis. Enrichment analysis revealed pathways implicated in kidney and cardiometabolic disease. CONCLUSIONS: Using the diverse CRIC sample, a high-throughput untargeted assay, followed by targeted analysis, and rigorous statistical analysis to reduce false discovery, we identified several novel metabolites implicated in DKD progression. If replicated in independent cohorts, our findings could inform risk stratification and treatment strategies for patients with DKD.

Acute coronary syndrome caused by myocardial bridging.

Myocardial bridging (MB) is a phenomenon that occurs when coronary arteries course through myocardial tissue rather than, as is normal, on the surface of the myocardium. Although often asymptomatic, contraction of the myocardium in the presence of a myocardial bridge can sometimes occlude the lumen of coronary arteries that penetrate the myocardium, resulting in symptoms, signs, and electrocardiographic changes indistinguishable from those associated with acute coronary syndromes (ACS) caused by intraluminal narrowing of coronary arteries or coronary artery plaque rupture. In this monograph, we present the case of a 45-year-old man who presented to the emergency department with typical chest pain accompanied by electrocardiographic changes consistent with acute occlusion of the left anterior descending artery. During percutaneous coronary intervention, fluoroscopically-obtained cine image loops revealed evidence of dynamic coronary artery narrowing due to myocardial bridging. There was no evidence of static coronary artery occlusion. Myocardial bridging is typically managed medically when symptomatic, although refractory cases may ultimately require invasive or surgical intervention. Given that emergency physicians are frequently the first providers to evaluate patients with acute coronary syndromes, myocardial bridging as an etiology for ACS is a clinical entity of which emergency physicians should be aware.

A Comparative Study of Scripted versus Unscripted Morning Reports: Results from a Prospective Multicenter Study.

OBJECTIVES: Morning report is one of the central activities of internal medicine residency education. The two most common morning report formats are scripted reports, which use preselected cases with prepared didactics, and unscripted reports in which a case is discussed without preparation. No previous study has compared these two formats. METHODS: We conducted a prospective observational study of morning report conducted at 10 academic medical centers across the United States. RESULTS: A total of 198 case-based morning reports were observed. Of these, 169 (85%) were scripted and 29 (15%) were unscripted. Scripted reports were more likely to present a case with a known final diagnosis (89% vs 76%, P = 0.04), use electronic slides (76% vs 52%, P = 0.01), involve more than 15 slides (55% vs 3%, P < 0.001), and reference the medical literature (61% vs 34%, P = 0.02), including professional guidelines (32% vs 10%, P = 0.02) and original research (25% vs 0%, P = 0.001). Scripted reports also consumed more time in prepared didactics (8.0 vs 0 minutes, P < 0.001). Unscripted reports consumed more time in case history (10.0 vs 7.0 minutes, P < 0.001), physical examination (3.0 vs 2.0 minutes, P = 0.06), and differential diagnosis (10.0 vs 7.0 minutes, P = 0.01). CONCLUSIONS: Most contemporary morning reports are scripted. Compared with traditional unscripted reports, scripted reports are more likely to involve a case with a known diagnosis, use extensive electronic presentation slides, and consume more time in didactics, while unscripted reports consume more time in the early diagnostic process, including history, physical examination, and differential diagnosis. Residency programs interested in emphasizing these aspects of medical education should encourage unscripted morning reports.

Psychosocial stress and ovarian function in adolescent and young adult cancer survivors.

STUDY QUESTION: Is psychosocial stress associated with ovarian function in reproductive-aged survivors of cancer diagnosed as adolescents and young adults (AYA survivors)? SUMMARY ANSWER: We observed no association between self-reported and biomarkers of psychosocial stress and ovarian function in AYA survivors. WHAT IS KNOWN ALREADY: Psychosocial stress suppresses hypothalamic-pituitary-ovarian axis, resulting in ovulatory dysfunction, decreased sex steroidogenesis and lower fertility in reproductive-aged women. Many cancer survivors experience high psychosocial stress and hypothalamic-pituitary-adrenal axis dysregulation. The menstrual pattern disturbances and infertility they experience have been attributed to ovarian follicle destruction, but the contribution of psychosocial stress to these phenotypes is unknown. STUDY DESIGN, SIZE, DURATION: A cross-sectional study was conducted estimating the association between perceived stress, measured by self-report and saliva cortisol, and ovarian function, measured by bleeding pattern, dried blood spot (DBS) FSH and LH, and saliva estradiol. We included 377 AYA survivor participants. PARTICIPANTS/MATERIALS, SETTING, METHODS: AYA survivor participants were ages 15-35 at cancer diagnosis and ages 18-40 at study enrollment, had completed primary cancer treatment, had a uterus and at least one ovary, did not have uncontrolled endocrinopathy and were not on hormone therapy. Recruited from cancer registries, physician referrals and cancer advocacy groups, participants provided self-reported information on psychosocial stress (Perceived Stress Scale-10 (PSS-10)) and on cancer and reproductive (fertility, contraception, menstrual pattern) characteristics. DBS samples were collected timed to the early follicular phase (cycle Days 3-7) for menstruating individuals and on a random day for amenorrheic individuals; saliva samples were collected three time points within 1 day. FSH and LH were measured by DBS ELISAs, cortisol was measured by ELISA and estradiol was measured by liquid chromatography tandem mass spectrometry. MAIN RESULTS AND THE ROLE OF CHANCE: The median age of participants was 34.0 years (range 19-41) at a median of 6.0 years since cancer diagnosis. The most common cancer was breast (32.1%). Median PSS-10 score was 15 (range 0-36), with 5.3% scoring ≥26, the cut point suggestive of severe stress. Cortisol levels followed a diurnal pattern and cortisol AUC was negatively correlated with PSS-10 scores (P = 0.03). Neither PSS-10 scores nor cortisol AUC were associated with FSH, LH, estradiol levels or menstrual pattern. Waking and evening cortisol and the cortisol awakening response also were not related to ovarian function measures. LIMITATIONS, REASONS FOR CAUTION: Our analysis is limited by its cross-sectional nature, heterogeneity of cancer diagnosis and treatments and low prevalence of severe stress. WIDER IMPLICATIONS OF THE FINDINGS: The lack of association between psychosocial stress and a variety of ovarian function measures in female AYA cancer survivors suggests that psychosocial stress does not have a significant impact on the reproductive axis of AYA survivors. This finding is important in counseling this population on their menstrual pattern and family building plans. STUDY FUNDING/COMPETING INTEREST(S): NIH HD080952, South Korea Health Industry Development Institute HI18C1837 (JK). Dr A.D. works for Bluebird Bio, Inc., Dr D.Z. works for ZRT Labs and Dr P.M.S. works for Ansh Labs, which did not sponsor, support or have oversight of this research. Other authors report no competing interests. TRIAL REGISTRATION NUMBER: N/A.

Internal Medicine Residents' Perceptions of Morning Report: a Multicenter Survey.

BACKGROUND: Residents rate morning report (MR) as an essential educational activity. Little contemporary evidence exists to guide medical educators on the optimal content or most effective delivery strategies, particularly in the era of resident duty-hour limitations and shifts towards learner-centric pedagogy in graduate medical education. OBJECTIVE: Assess resident views about MR content and teaching strategies. DESIGN: Anonymous, online survey. PARTICIPANTS: Internal medicine residents from 10 VA-affiliated residency programs. MAIN MEASURES: The 20-item survey included questions on demographics; frequency and reason for attending; opinions on who should attend, who should teach, and how to prioritize the teaching; and respondents' comfort level with participating in MR. The survey included a combination of Likert-style and multiple-choice questions with the option for multiple responses. KEY RESULTS: A total of 497 residents (46%) completed the survey, with a balanced sample of R1s (33%), R2s (35%), and R3s (31%). Self-reported MR attendance was high (31% always attend; 39% attend > 50% of the time), with clinical duties being the primary barrier to attendance (85%). Most respondents felt that medical students (89%), R1 (96%), and R2/R3s (96%) should attend MR; there was less consensus regarding including attendings (61%) or fellows (34%). Top-rated educational topics included demonstration of clinical reasoning (82%), evidence-based medicine (77%), and disease pathophysiology (53%). Respondents valued time spent on diagnostic work-up (94%), management (93%), and differential building (90%). Overall, 82% endorsed feeling comfortable speaking; fewer R1s reported comfort (76%) compared with R2s (87%) or R3s (83%, p = 0.018). Most (81%) endorsed that MR was an inclusive learning environment (81%), with no differences by level of training. CONCLUSIONS: MR remains a highly regarded, well-attended educational conference. Residents value high-quality cases that emphasize clinical reasoning, diagnosis, and management. A supportive, engaging learning environment with expert input and concise, evidence-based teaching is desired.

Metabolomic Markers of Kidney Function Decline in Patients With Diabetes: Evidence From the Chronic Renal Insufficiency Cohort (CRIC) Study.

RATIONALE & OBJECTIVE: Biomarkers that provide reliable evidence of future diabetic kidney disease (DKD) are needed to improve disease management. In a cross-sectional study, we previously identified 13 urine metabolites that had levels reduced in DKD compared with healthy controls. We evaluated associations of these 13 metabolites with future DKD progression. STUDY DESIGN: Prospective cohort. SETTING & PARTICIPANTS: 1,001 Chronic Renal Insufficiency Cohort (CRIC) participants with diabetes with estimated glomerular filtration rates (eGFRs) between 20 and 70mL/min/1.73m2 were followed up prospectively for a median of 8 (range, 2-10) years. PREDICTORS: 13 urine metabolites, age, race, sex, smoked more than 100 cigarettes in lifetime, body mass index, hemoglobin A1c level, blood pressure, urinary albumin, and eGFR. OUTCOMES: Annual eGFR slope and time to incident kidney failure with replacement therapy (KFRT; ie, initiation of dialysis or receipt of transplant). ANALYTICAL APPROACH: Several clinical metabolite models were developed for eGFR slope as the outcome using stepwise selection and penalized regression, and further tested on the time-to-KFRT outcome. A best cross-validated (final) prognostic model was selected based on high prediction accuracy for eGFR slope and high concordance statistic for incident KFRT. RESULTS: During follow-up, mean eGFR slope was-1.83±1.92 (SD) mL/min/1.73m2 per year; 359 (36%) participants experienced KFRT. Median time to KFRT was 7.45 years from the time of entry to the CRIC Study. In our final model, after adjusting for clinical variables, levels of metabolites 3-hydroxyisobutyrate (3-HIBA) and 3-methylcrotonyglycine had a significant negative association with eGFR slope, whereas citric and aconitic acid were positively associated. Further, 3-HIBA and aconitic acid levels were associated with higher and lower risk for KFRT, respectively (HRs of 2.34 [95% CI, 1.51-3.62] and 0.70 [95% CI, 0.51-0.95]). LIMITATIONS: Subgroups for whom metabolite signatures may not be optimal, nontargeted metabolomics by flow-injection analysis, and 2-stage modeling approaches. CONCLUSIONS: Urine metabolites may offer insights into DKD progression. If replicated in future studies, aconitic acid and 3-HIBA could identify individuals with diabetes at high risk for GFR decline, potentially leading to improved clinical care and targeted therapies.

Ambulatory Monitoring of Heart Sounds via an Implanted Device Is Superior to Auscultation for Prediction of Heart Failure Events.

BACKGROUND: We compared the relationship between the third heart sound (S3) measured by an implantable cardiac device (devS3) and auscultation (ausS3) and evaluated their prognostic powers for predicting heart failure events (HFEs). METHODS AND RESULTS: In the MultiSENSE study, devS3 was measured daily with continuous values, whereas ausS3 was assessed at study visits with discrete grades. They were compared among patients with and without HFEs at baseline and against each other directly. Cox proportional hazard models were developed between follow-up visits and over the whole study. Simulations were performed on devS3 to match the limitations of auscultation. We studied 900 patients, of whom 106 patients experienced 192 HFEs. Two S3 sensing modalities correlated with each other, but at baseline, only devS3 differentiated patients with or without HFEs (P < 0.0001). The prognostic power of devS3 was superior to that of ausS3 both between follow-up visits (HR = 5.7, P < 0.0001, and 1.7, P = 0.047, respectively) and over the whole study (HR = 2.9, P < 0.0001, and 1.4, P = 0.216, respectively). Simulation results suggested this superiority may be attributed to continuous monitoring and to subaudible measuring capability. CONCLUSIONS: S3 measured by implantable cardiac devices has stronger prognostic power to predict episodes of future HFEs than that of auscultation.

A Multicenter VA Study of the Format and Content of Internal Medicine Morning Report.

BACKGROUND: There are more than five hundred internal medicine residency programs in the USA, involving 27,000 residents. Morning report is a central educational activity in resident education, but no recent studies describe its format or content. OBJECTIVE: To describe the format and content of internal medicine morning reports. DESIGN AND PARTICIPANTS: Prospective observational study of morning reports occurring between September 1, 2018, and April 30, 2019, in ten different VA academic medical centers in the USA. MAIN MEASURES: Report format, number and type of learner, number and background of attending, frequency of learner participation, and the type of media used. Content areas including quality and safety, high-value care, social determinants of health, evidence-based medicine, ethics, and bedside teaching. For case-based reports, the duration of different aspects of the case was recorded, the ultimate diagnosis when known, and if the case was scripted or unscripted. RESULTS: A total of 225 morning reports were observed. Reports were predominantly case-based, moderated by a chief resident, utilized digital presentation slides, and involved a range of learners including medicine residents, medical students, and non-physician learners. The most common attending physician present was a hospitalist. Reports typically involved a single case, which the chief resident reviewed prior to report and prepared a teaching presentation using digital presentation slides. One-half of cases were categorized as either rare or life-threatening. The most common category of diagnosis was medication side effects. Quality and safety, high-value care, social determinants of health, and evidence-based medicine were commonly discussed. Medical ethics was rarely addressed. CONCLUSIONS: Although a wide range of formats and content were described, internal medicine morning report most commonly involves a single case that is prepared ahead of time by the chief resident, uses digital presentation slides, and emphasizes history, differential diagnosis, didactics, and rare or life-threatening diseases.

Efficacy of a web-based women's health survivorship care plan for young breast cancer survivors: a randomized controlled trial.

PURPOSE: Breast cancer survivorship care plans (SCP) have limited content addressing women's health issues. This trial tested if young breast cancer survivors who receive a web-based, women's health SCP were more likely to improve on at least one of the four targeted issues (hot flashes, fertility-related concerns, contraception, and vaginal symptoms) compared to attention controls. METHODS: A randomized controlled trial recruited female survivors ages 18-45 at diagnosis, 18-50 at enrollment, completed primary cancer treatment, and had a significant women's health issue: moderate or higher fertility-related concerns; ≥ 4 hot flashes/day with ≥ 1 of moderate severity; ≥ 1 moderate vaginal atrophy symptoms; or not contracepting/using less effective methods. Survivors underwent stratified, block randomization with equal allocation to intervention and control groups. The intervention group accessed the online SCP; controls accessed curated resource lists. In intention-to-treat analysis, the primary outcome of improvement in at least one issue by 24 weeks was compared by group. RESULTS: 182 participants (86 intervention, 96 control), mean age 40.0 ± 5.9 and 4.4 ± 3.2 years since diagnosis, were randomized. 61 intervention group participants (70.9%) improved, compared to 55 controls (57.3%) (OR 1.82, 95% CI 0.99-3.4, p = 0.057). The following issue-specific improvements were observed in the intervention versus control arms: fertility-related concerns (27.9% vs. 14.6%, OR 2.3, 95% CI 1.1-4.8); hot flashes (58.5% vs. 55.8%, OR 1.1, 95% CI 0.57-2.2); vaginal symptoms (42.5% vs. 40.7%, OR 1.1, 95% CI 0.6-2.0); contraception (50% vs. 42.6%, OR 1.4, 95% CI 0.74-2.5). CONCLUSIONS: In young breast cancer survivors, a novel, web-based SCP did not result in more change in the primary outcome of improvement in at least one of the four targeted women's health issues, than the attention control condition. The intervention was associated with improved infertility concerns, supporting efficacy of disseminating accessible, evidence-based women's health information to this population.

The New Internal Medicine Subinternship Curriculum Guide: a Report from the Alliance for Academic Internal Medicine.

The internal medicine (IM) subinternship has been a long-established clinical experience in the final phase of medical school deemed by key stakeholders as a crucial rotation to prepare senior medical students for internship. Medical education has changed greatly since the first national curriculum for this course was developed in 2002 by the Clerkship Directors in Internal Medicine (CDIM). Most notably, competency-based medical education (CBME) has become a fixture in graduate medical education and has gradually expanded into medical school curricula. Still, residency program directors and empirical studies have identified gaps and inconsistencies in knowledge and skills among new interns. Recognizing these gaps, the Association of Program Directors in Internal Medicine (APDIM) surveyed its members in 2010 and identified four core skills essential for intern readiness. The Association of American Medical Colleges (AAMC) also published 13 core entrustable professional activities (EPAs) for entering residency to be expected of all medical school graduates. Results from the APDIM survey along with the widespread adoption of CBME informed this redesign of the IM subinternship curriculum. The authors provide an overview of this new guide developed by the Alliance for Academic Internal Medicine (AAIM) Medical Student-to-Resident Interface Committee (MSRIC).

Ring-Closing Synthesis of Dibenzothiophene Sulfonium Salts and Their Use as Leaving Groups for Aromatic 18F-Fluorination.

Herein, we report a novel intramolecular ring-closing reaction of biaryl thioethers that give access to highly functionalized dibenzothiophene sulfonium salts under mild conditions. The resulting precursors react regioselectively with [18F]fluoride to give [18F]fluoroarenes in predictable radiochemical yields. The strategy expands the available radiochemical space and provides superior labeling efficiency for clinically relevant PET tracers.

Antibiotic-tolerant Staphylococcus aureus Biofilm Persists on Arthroplasty Materials.

BACKGROUND: The continued presence of biofilm may be one cause of the high risk of failure observed with irrigation and débridement with component retention in acute periprosthetic joint infection (PJI). There is a poor understanding of the role of biofilm antibiotic tolerance in PJI. QUESTIONS/PURPOSES: (1) Do increasing doses of cefazolin result in decreased viable biofilm mass on arthroplasty materials? (2) Is cefazolin resistance phenotypic or genotypic? (3) Is biofilm viability a function of biofilm depth after treatment with cefazolin? (4) Is the toxin-antitoxin system, yoeB expression, associated with antibiotic stress? METHODS: Methicillin-sensitive Staphylococcus aureus biofilm was cultured on total knee arthroplasty (TKA) materials and exposed to increasing doses of cefazolin (control, 0.5, 1.0, 10.0, 100.0 µg/mL). Quantitative confocal microscopy and quantitative culture were used to measure viable biofilm cell density. To determine if cefazolin resistance was phenotypic or genotypic, we measured minimum inhibitory concentration (MIC) after exposure to different cefazolin concentrations; changes in MIC would suggest genotypic features, whereas unchanged MIC would suggest phenotypic behavior. Finally, quantitative reverse transcription-polymerase chain reaction was used to quantify expression of yoeB levels between biofilm and planktonic bacteria after exposure to 1 µg/mL cefazolin for 3 hours. RESULTS: Although live biofilm mass was reduced by exposure to cefazolin when compared with biofilm mass in controls (39.2 × 10(3) ± 26.4 × 10(3) pixels), where the level after 0.5 µg/mL exposure also showed reduced mass (20.3 × 10(3) ± 11.9 × 10(3) pixels), no further reduction was seen after higher doses (mass at 1.0 µg/mL: 5.0 × 10(3) pixels ± 1.1 × 10(3) pixels; at 10.0 µg/mL: 6.4 × 10(3) ± 9.6 × 10(3) pixels; at 100.0 µg/mL: 6.4 × 10(3) ± 3.9 × 10(3)). At the highest concentration tested (100 µg/mL), residual viable biofilm was present on all three materials, and there were no differences in percent biofilm survival among cobalt-chromium (18.5% ± 15.1%), polymethylmethacrylate (22.8% ± 20.2%), and polyethylene (14.7% ± 10.4%). We found that tolerance was a phenotypic phenomenon, because increasing cefazolin exposure did not result in changes in MIC as compared with controls (MIC in controls: 0.13 ± 0.02; at 0.5 µg/mL: 0.13 ± 0.001, p = 0.96; at 1.0 µg/m: 0.14 ± 0.04, p = 0.95; at 10.0 µg/m: 0.11 ± 0.016, p = 0.47; at 100.0 µg/m: 0.94 ± 0.047, p = 0.47). Expression of yoeB after 1 µg/mL cefazolin for 3 hours in biofilm cells was greater in biofilm but not in planktonic cells (biofilm: 62.3-fold change, planktonic cells: -78.8-fold change, p < 0.001). CONCLUSIONS: Antibiotics are inadequate at complete removal of the biofilm from the surface of TKA materials. Results suggest that bacterial persisters are responsible for this phenotypic behavior allowing biofilm high tolerance to antibiotics. CLINICAL RELEVANCE: Antibiotic-tolerant biofilm suggests a mechanism behind the poor results in irrigation and débridement for acute TKA PJI.

Combatting bacterial infections by killing persister cells with mitomycin C.

Persister cells are a multi-drug tolerant subpopulation of bacteria that contribute to chronic and recalcitrant clinical infections such as cystic fibrosis and tuberculosis. Persisters are metabolically dormant, so they are highly tolerant to all traditional antibiotics which are mainly effective against actively growing cells. Here, we show that the FDA-approved anti-cancer drug mitomycin C (MMC) eradicates persister cells through a growth-independent mechanism. MMC is passively transported and bioreductively activated, leading to spontaneous cross-linking of DNA, which we verify in both active and dormant cells. We find MMC effectively eradicates cells grown in numerous different growth states (e.g. planktonic cultures and highly robust biofilm cultures) in both rich and minimal media. Additionally, MMC is a potent bactericide for a broad range of bacterial persisters, including commensal Escherichia coli K-12 as well as pathogenic species of E. coli, Staphylococcus aureus and Pseudomonas aeruginosa. We also demonstrate the efficacy of MMC in an animal model and a wound model, substantiating the clinical applicability of MMC against bacterial infections. Therefore, MMC is the first broad-spectrum compound capable of eliminating persister cells, meriting investigation as a new approach for the treatment of recalcitrant infections.