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Health status is increasingly recognized as an important patient-centered outcome after acute myocardial infarction (AMI). Yet drivers of decline in health status after AMI remain largely unknown in older adults. We sought to develop and validate a predictive risk model for health status decline among older adult survivors of AMI.Using data from a prospective cohort study conducted from 2013 to 2017 of 3041 patients age ≥75 years hospitalized with acute myocardial infarction at 94 U.S. hospitals, we examined a broad array of demographic, clinical, functional, and psychosocial variables for their association with health status decline, defined as a decrease of ≥5 points in the Short Form-12 (SF-12) physical component score from hospitalization to 6 months post-discharge. Model selection was performed in logistic regression models of 20 imputed datasets to yield a parsimonious risk prediction model. Model discrimination and calibration were evaluated using c-statistics and calibration plots, respectively.Of the 2571 participants included in the main analyses, 30% of patients experienced health status decline from hospitalization to 6 months post-discharge. The risk model contained 14 factors, 10 associated with higher risk of health status decline (age, pre-existing AMI, pre-existing cancer, pre-existing COPD, pre-existing diabetes, history of falls, presenting Killip class, acute kidney injury, baseline health status, and mobility impairment) and four associated with lower risk of health status decline (male sex, higher hemoglobin, receipt of revascularization, and arrhythmia during hospitalization). The model displayed good discrimination (c-statistic = 0.74 in validation cohort) and calibration (p 0.05) in both development and validation cohorts.We used split sampling to develop and validate a risk model for health status decline in older adults after hospitalization for AMI and identified several risk factors that may be modifiable to mitigate the threat of this important patient-centered outcome. External validation of this risk model is warranted.

ImportanceSurgeon-scientists are uniquely positioned to facilitate translation between the laboratory and clinical settings to drive innovation in patient care. However, surgeon-scientists face many challenges in pursuing research, such as increasing clinical demands that affect their competitiveness to apply for National Institutes of Health (NIH) funding compared with other scientists.ObjectiveTo examine how NIH funding has been awarded to surgeon-scientists over time.Design, Setting, and ParticipantsThis cross-sectional study used publicly available data from the NIH RePORTER (Research Portfolio Online Reporting Tools Expenditures and Results) database for research project grants awarded to departments of surgery between 1995 and 2020. Surgeon-scientists were defined as NIH-funded faculty holding an MD or MD-PhD degree with board certification in surgery; PhD scientists were NIH-funded faculty holding a PhD degree. Statistical analysis was performed from April 1 to August 31, 2022.Main OutcomeNational Institutes of Health funding to surgeon-scientists compared with PhD scientists, as well as NIH funding to surgeon-scientists across surgical subspecialties.ResultsBetween 1995 and 2020, the number of NIH-funded investigators in surgical departments increased 1.9-fold from 968 to 1874 investigators, corresponding to a 4.0-fold increase in total funding (1995, $214 million; 2020, $861 million). Although the total amount of NIH funding to both surgeon-scientists and PhD scientists increased, the funding gap between surgeon-scientists and PhD scientists increased 2.8-fold from a $73 million difference in 1995 to a $208 million difference in 2020, favoring PhD scientists. National Institutes of Health funding to female surgeon-scientists increased significantly at a rate of 0.53% (95% CI, 0.48%-0.57%) per year from 4.8% of grants awarded to female surgeon-scientists in 1995 to 18.8% in 2020 (P P Conclusion and RelevanceThis study suggests that research performed by surgeon-scientists continues to be underrepresented in the NIH funding portfolio, highlighting a fundamental need to support and fund more surgeon-scientists.

This study examines trends in childhood household income among applicants and matriculants to medical school and the likelihood of acceptance by income.

BACKGROUND: Clinicians make a medical diagnosis by recognizing diagnostic possibilities, often using memories of prior examples. These memories, called exemplars, reflect specific symptom combinations in individual patients, yet most clinical studies report how symptoms aggregate in populations. We studied how symptoms of acute myocardial infarction combine in individuals as symptom phenotypes and how symptom phenotypes are distributed in women and men. METHODS: In this analysis of the SILVER-AMI Study, we studied 3041 patients (1346 women and 1645 men) ≥75 years old with acute myocardial infarction. Each patient had a standardized in-person interview during the acute myocardial infarction admission to document the presenting symptoms, which enabled a thorough examination of symptom combinations in individuals. Specific symptom combinations defined symptom phenotypes and distributions of symptom phenotypes were compared in women and men using Monte Carlo permutation testing and repeated subsampling. RESULTS: There were 1469 unique symptom phenotypes in the entire SILVER-AMI cohort of acute myocardial infarction patients. There were 831 unique symptom phenotypes in women, as compared with 819 in men, which was highly significant, given the larger number of men than women in the study (p

This cross-sectional study examines trends in number of awards and funding of general and diversity F31 predoctoral fellowships from 2001 to 2020.

Background After hospitalization for acute myocardial infarction (AMI), older adults may be at increased risk for falls due to deconditioning, new medications, and worsening health status. Our primary objective was to identify risk factors for falls after AMI hospitalization among adults over age 75. Methods We used data from the Comprehensive Evaluation of Risk Factors in Older Patients with AMI (SILVER-AMI) study, a prospective cohort study of 3041 adults age 75 and older hospitalized with AMI at 94 community and academic medical centers across the United States. In-person interviews and physical assessments, as well as medical record review, were performed to collect demographic, clinical, functional, and psychosocial data. Falls were self-reported in telephone interviews and medically serious falls (those associated with emergency department use or hospitalization) were determined by medical record adjudication. Backward selection was used to identify predictors of fall risk in logistic regression analysis. Results A total of 554 (21.6%) participants reported a fall and 191 (6.4%) had a medically serious fall within 6 months of discharge. Factors independently associated with self-reported falls included impaired mobility, prior fall history, longer hospital stay, visual impairment, and weak grip. Factors independently associated with medically serious falls included older age, polypharmacy, impaired functional mobility, prior fall history, and living alone. Conclusions Among older patients hospitalized for AMI, falls are common in the 6 months following discharge and associated with demographic, functional, and clinical factors that are readily identifiable. Fall risk should be considered in post-AMI clinical decision-making and interventions to prevent falls should be evaluated.

This cohort study investigates whether different rates of medical student placement into graduate medical education exist by sex, race and ethnicity, and socioeconomic status from 2018 to 2021.

The majority of the flowshop scheduling literature focuses on regular performance measures like makespan, flowtime etc. In this paper a flowshop scheduling problem is addressed where the objective is to minimize completion time variance (CTV). CTV is a non-regular performance measure that is closely related to just-in-time philosophy. A Microsoft Excel spreadsheet-based genetic algorithm (GA) is proposed to solve the problem. The proposed GA methodology is domain-independent and general purpose. The flowshop model is developed in the spreadsheet environment using the built-in formulae and function. Addition of jobs and machines can be catered for without the change in the basic GA routine and minimal change to the spreadsheet model. The proposed methodology offers an easy-to-handle framework whereby the practitioners can implement a heuristic-based optimization tool with the need for advanced programming tools. The performance of the proposed methodology is compared to previous studies for benchmark problems taken from the literature. Simulation experiments demonstrate that the proposed methodology solves the benchmark problems efficiently and effectively with a reasonable accuracy. The solutions are comparable to previous studies both in terms of computational time and solution quality.

ImportanceSurgical diseases account for approximately 30% of the global burden of disease. Gender diversity in biomedical research is critical to generate innovative patient-centered research in surgery.ObjectiveTo examine the distribution of biomedical research funding by the National Institutes of Health (NIH) among women and men surgeon-scientists during a 25-year period.Design, Setting, and ParticipantsThis cross-sectional study used publicly available data from the NIH RePORTER (Research Portfolio Online Reporting Tools: Expenditures and Results) database for research project grants awarded to women and men surgeon-scientists who were principal investigators between 1995 and 2020. Data were retrieved between January 20 and March 20, 2022. The representation of women surgeon-scientists among academic surgeons was compared with the representation of men surgeon-scientists over time.Main Outcomes and MeasuresDistribution of NIH funding to women and men surgeon-scientists was examined via 2 metrics: holding a large-dollar (ie, R01-equivalent) grant and being a super principal investigator (SPI) with $750 000 or more in total annual research funding. Statistical analysis was performed between April 1 and August 31, 2022.ResultsBetween 1995 and 2020, 2078 principal investigator surgeons received funding from the NIH. The proportion of women academic surgeons who were surgeon-scientists remained unchanged during this same period (1995, 14 of 792 [1.8%] vs 2020, 92 of 3834 [2.4%]; P = .10). Compared with their men counterparts, women surgeon-scientists obtained their first NIH grant earlier in their career (mean [SD] years after first faculty appointment, 8.8 [6.2] vs 10.8 [7.9] years; P Conclusions and RelevanceThe findings of this cross-sectional study of NIH-funded surgeons suggest that women surgeons remained underrepresented among surgeon-scientists over a 25-year period despite early career success in receiving NIH funding. This is concerning and warrants further investigation to increase the distribution of NIH funding among women surgeon-scientists.

Structured Interdisciplinary Bedside Rounds (SIBR) is a standardized, team-based intervention for hospitals to deliver high quality interprofessional care. Despite its potential for improving IPC and the workplace environment, relatively little is known about SIBR's effect on these outcomes. Our study aimed to assess the fidelity of SIBR implementation on an inpatient medicine teaching unit and its effects on perceived IPC and workplace efficiency. We conducted a quasi-experimental study with 88 residents and 44 nurses at a large academic medical center and observed 1308 SIBR encounters over 24 weeks. Of these 1308 encounters, the bedside nurse was present for 96.7%, physician for 97.6%, and care manager for 94.7, and 64.7% occurred at the bedside. Following SIBR implementation, perceived IPC improved significantly among residents (93.3% versus 67.9%

BACKGROUND/ OBJECTIVE: Inter-hospital patient transfers for neurocritical care are increasingly common due to increased regionalization for acute care, including stroke and intracerebral hemorrhage. This process of transfer is uniquely vulnerable to errors and risk given numerous handoffs involving multiple providers, from several disciplines, located at different institutions. We present Failure Mode and Effect Analysis (FMEA) as a systems engineering methodology that can be applied to neurocritical care transitions to reduce failures in communication and improve patient safety. Specifically, we describe our local implementation of FMEA to improve the safety of inter-hospital transfer for patients with intracerebral and subarachnoid hemorrhage as evidence of success. METHODS: We describe the conceptual basis for and specific use-case example for each formal step of the FMEA process. We assembled a multidisciplinary team, developed a process map of all components required for successful transfer, and identified “failure modes” or errors that hinder completion of each subprocess. A risk or hazard analysis was conducted for each failure mode and ones of highest impact on patient safety and outcomes were identified and prioritized for implementation. Interventions were then developed and implemented into an action plan to redesign the process. Importantly, a comprehensive evaluation method was established to monitor outcomes and reimplement interventions to provide for continual improvement. RESULTS: This intervention was associated with significant reductions in emergency department (ED) throughput (ED length of stay from 300 to 149 minutes, (p

BACKGROUND: Oldest-old patients (≥85 years) constitute half the acute myocardial infarction hospitalizations among older adults and more commonly have atypical presentation, under-treatment and functional impairments. Yet this group has not been well characterized. OBJECTIVES: We characterized differences in presentation, functional impairments, treatments, health status, and mortality among middle-old (75–84 years) and oldest-old patients with myocardial infarction. METHODS: We analyzed data from the ComprehenSIVe Evaluation of Risk Factors in Older Patients with AMI (SILVER-AMI) study that enrolled 3041 patients ≥75 years of age from 94 hospitals across the US between 2013–2016. We performed Cox proportional hazards regression to examine the association between the oldest-old (n=831) and middle-old (n=2210) age categories with post-discharge 6-month case fatality rate adjusting for socio-demographic and clinical variables, and mobility impairment. RESULTS: The oldest-old were less likely to present with chest pain (52.7% vs. 57.7%) as their primary symptom or to receive coronary revascularization (58.1% vs. 71.8) (p

This cross-sectional study assesses the association of mistreatment and discrimination among medical students with attrition from medical school.

Activated Gαq signals through phospholipase-Cβ and Trio, a Rho GTPase exchange factor (RhoGEF), but how these distinct effector pathways promote cellular responses to neurotransmitters like serotonin remains poorly understood. We used the egg-laying behavior circuit of Caenorhabditis elegans to determine whether phospholipase-Cβ and Trio mediate serotonin and Gαq signaling through independent or related biochemical pathways. Our genetic rescue experiments suggest that phospholipase-Cβ functions in neurons while Trio Rho GTPase exchange factor functions in both neurons and the postsynaptic vulval muscles. While Gαq, phospholipase-Cβ, and Trio Rho GTPase exchange factor mutants fail to lay eggs in response to serotonin, optogenetic stimulation of the serotonin-releasing HSN neurons restores egg laying only in phospholipase-Cβ mutants. Phospholipase-Cβ mutants showed vulval muscle Ca2+ transients while strong Gαq and Trio Rho GTPase exchange factor mutants had little or no vulval muscle Ca2+ activity. Treatment with phorbol 12-myristate 13-acetate that mimics 1,2-diacylglycerol, a product of PIP2 hydrolysis, rescued egg-laying circuit activity and behavior defects of Gαq signaling mutants, suggesting both phospholipase-C and Rho signaling promote synaptic transmission and egg laying via modulation of 1,2-diacylglycerol levels. 1,2-Diacylglycerol activates effectors including UNC-13; however, we find that phorbol esters, but not serotonin, stimulate egg laying in unc-13 and phospholipase-Cβ mutants. These results support a model where serotonin signaling through Gαq, phospholipase-Cβ, and UNC-13 promotes neurotransmitter release, and that serotonin also signals through Gαq, Trio Rho GTPase exchange factor, and an unidentified, phorbol 12-myristate 13-acetate-responsive effector to promote postsynaptic muscle excitability. Thus, the same neuromodulator serotonin can signal in distinct cells and effector pathways to coordinate activation of a motor behavior circuit.

After hospitalization for acute myocardial infarction (AMI), older adults may be at increased risk for falls due to deconditioning, new medications, and worsening health status. Our primary objective was to identify risk factors for falls after AMI hospitalization among adults over age 75.We used data from the Comprehensive Evaluation of Risk Factors in Older Patients with AMI (SILVER-AMI) study, a prospective cohort study of 3041 adults age 75 and older hospitalized with AMI at 94 community and academic medical centers across the United States. In-person interviews and physical assessments, as well as medical record review, were performed to collect demographic, clinical, functional, and psychosocial data. Falls were self-reported in telephone interviews and medically serious falls (those associated with emergency department use or hospitalization) were determined by medical record adjudication. Backward selection was used to identify predictors of fall risk in logistic regression analysis.A total of 554 (21.6%) participants reported a fall and 191 (6.4%) had a medically serious fall within 6 months of discharge. Factors independently associated with self-reported falls included impaired mobility, prior fall history, longer hospital stay, visual impairment, and weak grip. Factors independently associated with medically serious falls included older age, polypharmacy, impaired functional mobility, prior fall history, and living alone.Among older patients hospitalized for AMI, falls are common in the 6 months following discharge and associated with demographic, functional, and clinical factors that are readily identifiable. Fall risk should be considered in post-AMI clinical decision-making and interventions to prevent falls should be evaluated.

Atherosclerotic cardiovascular disease (ASCVD) remains an important contributor of morbidity and mortality in patients with chronic kidney disease (CKD). CKD is recognized as an important risk enhancer that identifies patients as candidates for more intensive low-density lipoprotein (LDL) cholesterol lowering. However, there is controversy regarding the efficacy of lipid-lowering therapy, especially in patients on dialysis. Among patients with CKD, not yet on dialysis, there is clinical trial evidence for the use of statins with or without ezetimibe to reduce ASCVD events. Newer cholesterol lowering agents have been introduced for the management of hyperlipidemia to reduce ASCVD, but these therapies have not been tested in the CKD population except in secondary analyses of patients with primarily CKD stage 3. This review summarizes the role of hyperlipidemia in ASCVD and treatment strategies for hyperlipidemia in the CKD population.

Background Frontal fibrosing alopecia (FFA) is traditionally regarded as a variant of lichen planopilaris (LPP) based on histological features. Distinct clinical presentation, demographics and epidemiology suggest that differing pathogenic factors determine the final phenotype. Objectives To map the hair follicle immune system in LPP and FFA by systematically comparing key inflammatory markers in defined hair follicle compartments. Methods Lesional scalp biopsies from LPP and FFA and healthy controls were stained with the following immunohistochemical markers: CD1a and CD209, CD4, CD8, CD56, CD68, CD123, CXCR3, forkhead box (FOX)P3, mast cell tryptase and cKit. Macrophage polarization was explored using CD206, CD163, CD86, receptor for advanced glycation end products (RAGE), interleukin (IL)-4 and IL-13 on paired lesional and nonlesional LPP and FFA samples. Results Increased numbers of CD8+ , CXCR3+ and FOXP3+ T cells and CD68+ macrophages were identified in the distal hair follicle epithelium and perifollicular mesenchyme in both LPP and FFA compared with controls. In both LPP and FFA, total and degranulated mast cells and CD123+ plasmacytoid dendritic cells were increased in the perifollicular mesenchyme adjacent to the bulge and infundibulum, whereas numbers of CD1a+ and CD209+ dendritic cells were significantly reduced in the infundibulum connective tissue sheath. However, only with CD68 staining was a significant difference between LPP and FFA identified, with greater numbers of CD68+ cells in LPP samples. Furthermore, the identified macrophage polarization markers downregulated CD86 and upregulated CD163 and IL-4 expression in lesional LPP compared with FFA samples. Conclusions This comparative immunopathological analysis is the first to profile systematically the hair follicle immune system in LPP and FFA. Our analysis highlights a potential role of macrophages in disease pathobiology and suggests that macrophage polarization may differ between LPP and FFA, allowing microscopic differentiation. Linked Comment: Kinoshita-Ise. Br J Dermatol 2020; 183:419-420.

The availability of social support is associated with health outcomes after acute myocardial infarction (AMI), yet previous studies have largely considered social support as a single entity, rather than examining its discrete domains. Furthermore, few studies have investigated the impact of social support in older AMI patients, in whom it may be especially important. We aimed to determine the associations between 5 discrete domains of social support - emotional support, informational support, tangible support, positive social interaction, and affectionate support - with 6-month readmission and mortality in older patients hospitalized for AMI, adjusting for known predictors of post-AMI outcomes. Three thousand six participants 75 years and older were recruited from a network of 94 hospitals across the United States. A 5-item version of the Medical Outcomes Study Social Support Survey was used to measure perceived social support, and readmission and mortality were ascertained 6 months after initial hospitalization. Independent associations were determined using multivariable regression. Among 3,006 participants, mean age was 82 years, 44% were female, and 11% non-white. Participants who were female, non-white, less educated, and lived alone tended to report lower social support. In multivariable analyses, low informational support was associated with readmission (odds ratio 1.22; 95% confidence interval 1.01 to 1.47), and low emotional support with mortality (odds ratio 1.43; 95% confidence interval 1.04 to 1.97). In conclusion, individual domains of social support had distinct, independent associations with post-AMI outcomes, lending a more nuanced and precise understanding of this important social determinant of health. Understanding these distinct associations can inform the development of interventions and policies to improve post-AMI outcomes.

ImportanceDiversity in the biomedical research workforce is essential for addressing complex health problems. Female investigators and investigators from underrepresented ethnic and racial groups generate novel, impactful, and innovative research, yet they are significantly underrepresented among National Institutes of Health (NIH) investigators.ObjectiveTo examine the gender, ethnic, and racial distribution of super NIH investigators who received 3 or more concurrent NIH grants.Design, Setting, and ParticipantsThis cross-sectional study included a national cohort of NIH-funded principal investigators (PIs) from the NIH Information for Management, Planning, Analysis, and Coordination (IMPAC II) database from 1991 to 2020.ExposuresSelf-identified gender, race and ethnicity, annual number of NIH grant receipt, career stage, and highest degree.Main Outcomes and MeasuresDistribution of investigators receiving 3 or more research project grants, referred to as super principal investigators (SPIs), by gender, race, and ethnicity.ResultsAmong 33 896 investigators in fiscal year 2020, 7478 (22.01%) identified as Asian, 623 (1.8%) as Black, 1624 (4.8%) as Hispanic, and 22 107 (65.2%) as White; 21 936 (61.7%) identified as men; and 8695 (35.3%) were early-stage investigators. Between 1991 and 2020, the proportion of SPIs increased 3-fold from 704 (3.7%) to 3942 (11.3%). However, SPI status was unequal across gender, ethnic, and racial groups. Women and Black PIs were significantly underrepresented among SPIs, even after adjusting for career stage and degree, and were 34% and 40% less likely than their male and White colleagues, respectively, to be an SPI. Black women PIs were the least likely to be represented among SPIs and were 71% less likely to attain SPI status than White men PIs (adjusted odds ratio, 0.29; 95% CI, 0.21-0.41).Conclusions and RelevanceIn this cross-sectional study of a national cohort of NIH-funded investigators, the gender, ethnic, and racial gaps in receipt of multiple research project grants among NIH investigators was clearly apparent and warrants further investigation and interventions.

Background Among older adults (age ≥ 75 years) hospitalized for acute myocardial infarction, acute kidney injury after coronary angiography is common. Aging-related conditions may independently predict acute kidney injury, but have not yet been analyzed in large acute myocardial infarction cohorts. Methods We analyzed data from 2212 participants age ≥ 75 years in the Comprehensive Evaluation of Risk Factors in Older Patients with Acute Myocardial Infarction (SILVER-AMI) study who underwent coronary angiography. Acute kidney injury was defined using Kidney Disease Improving Global Outcomes (KDIGO) criteria (serum Cr increase ≥ 0.3 mg/dL from baseline or ≥ 1.5 times baseline). We analyzed the associations of traditional acute kidney injury risk factors and aging-related conditions (activities of daily living impairment, prior falls, cachexia, low physical activity) with acute kidney injury, and then performed logistic regression to identify independent predictors. Results Participants’ mean age was 81.3 years, 45.2% were female, and 9.5% were nonwhite; 421 (19.0%) experienced acute kidney injury. Comorbid diseases and aging-related conditions were both more common among individuals experiencing acute kidney injury. However, after multivariable adjustment, no aging-related conditions were retained. There were 11 risk factors in the final model; the strongest were heart failure on presentation (odds ratio [OR] 1.91; 95% confidence interval [CI], 1.41-2.59), body mass index [BMI] > 30 (vs BMI 18-25: OR 1.75; 95% CI, 1.27-2.42), and nonwhite race (OR 1.65; 95% CI, 1.16-2.33). The final model achieved an area under the receiver operating characteristic curve of 0.72 and was well calibrated (Hosmer-Lemeshow P = .50). Acute kidney injury was independently associated with 6-month mortality (OR 1.98; 95% CI, 1.36-2.88) but not readmission (OR 1.26; 95% CI, 0.98-1.61). Conclusions Acute kidney injury is common among older adults with acute myocardial infarction undergoing coronary angiography. Predictors largely mirrored those in previous studies of younger individuals, which suggests that geriatric conditions mediate their influence through other risk factors.

Aim The purpose of this study was to explore the latent conditions of cooperation and conflict in intra‐hospital patient transfers (i.e. transfers of patients between units in a hospital). Design Secondary qualitative analysis of 28 interviews conducted with 29 hospital staff, including physicians (N = 13), nurses (N = 10) and support staff (N = 6) from a single, large academic tertiary hospital in the Northeastern United States. Methods A two‐member multidisciplinary team applied a directed content analysis approach to data collected from semi‐structured interviews. Results Three recurrent themes were generated: (a) patient flow policies created imbalances of power; (b) relationships were helpful to facilitate safe transfers; and (c) method of admission order communication was a source of disagreement. Hospital quality improvement efforts could benefit from a teaming approach to minimize unintentional power imbalances and optimize communicative relationships between units.

During intra-hospital transfers, multiple clinicians perform coordinated tasks that leave patients vulnerable to undesirable outcomes. Communication has been established as a challenge to care transitions, but less is known about the organisational complexities within which transfers take place. We performed a qualitative assessment that included various professions to capture a multi-faceted understanding of intra-hospital transfers. Ethnographic observations and semi-structured interviews were conducted with clinicians and staff from the Medical Intensive Care Unit, Emergency Department, and general medicine units at a large, urban, academic, tertiary medical centre. Results highlight the organisational factors that stakeholders view as important for successful transfers: the development, dissemination, and application of protocols; robustness of technology; degree of teamwork; hospital capacity; and the ways in which competing hospital priorities are managed. These factors broaden our understanding of the organisational context of intra-hospital transfers and informed the development of a practical guide that can be used prior to embarking on quality improvement efforts around transitions of care.

Physical activity and social support are associated with better outcomes after surviving acute myocardial infarction (AMI), and greater walkability has been associated with activity and support. We used data from the SILVER-AMI study (November 2014 – June 2017), a longitudinal cohort of community-living adults ≥75 years hospitalized for AMI to assess associations of neighborhood walkability with health outcomes, and to assess whether physical activity and social support mediate this relationship, if it exists. We included data from 1345 participants who were not bedbound, were discharged home, and for whom we successfully linked walkability scores (from Walk Score®) for their home census block. Our primary outcome was hospital-free survival time (HFST) at six months after discharge; secondary outcomes included physical and mental health at six months, assessed using SF-12. Physical activity and social support were measured at baseline. Covariates included cognition, functioning, comorbidities, participation in rehabilitation or physical therapy, and demographics. We employed survival analysis to examine associations between walkability and HFST, before and after adjustment for covariates; we repeated analyses using linear regression with physical and mental health as outcomes. In adjusted models, walkability was not associated with physical health (s = 0.010; 95% CI: -0.027, 0.047), mental health (s = -0.08; 95% CI: -0.175, -0.013), or HFST (s = 0.008; 95% CI: -0.023, 0.009). Social support was associated with mental health in adjusted models. Neighborhood walkability was not predictive of outcomes among older adults with existing coronary disease, suggesting that among older adults, mobility limitations may supercede neighborhood walkability.

ImportanceDiverse research teams are critical to solving complex health problems and producing high-quality medical research.ObjectiveTo examine the associations of student sex and racial and ethnic identity with publication rates during medical school.Design, Setting, and ParticipantsThis cohort study assessed individual-level data of US MD graduates from medical school who matriculated in academic years 2014 to 2015 and 2015 to 2016. Data were obtained from the Association of American Medical Colleges and analyzed from October 2021 to January 2022.Main Outcomes and MeasuresOutcomes of interest included students’ self-reported participation in unique research experiences, number of publications, and computed publications per research experience. Poisson regressions were constructed to determine the association of sex and racial and ethnic identity with research outcomes using adjusted rate ratios (aRRs).ResultsAmong 31 474 graduates, 15 159 (48.2%) identified as women and 4344 (13.8%) identified as underrepresented in medicine by race and ethnicity (URIM; including American Indian, Alaska Native, Black, Hawaiian Native, Hispanic/Latinx, and Pacific Islander individuals). Students who attended National Institutes of Health (NIH) top 40 research-ranked schools reported higher number of research experiences and publication counts, resulting in a higher publication rate compared with students from non–top 40 schools (median [IQR] 1.60 [1.00-3.00] vs 1.25 [0.50-2.33]; P Conclusions and RelevanceThese findings illustrate that inequities in the physician-scientist workforce began early in training and highlight key areas for intervention, such as funding support and mentorship training during undergraduate medical education, that may promote the future success of a diverse physician-scientist workforce.

Diversity in the medical workforce is critical to improve health care access and achieve equity for resource-limited communities. Despite increased efforts to recruit diverse medical trainees, there remains a large chasm between the racial and ethnic and socioeconomic composition of the patient population and that of the physician workforce.To analyze student attrition from medical school by sociodemographic identities.This retrospective cohort study included allopathic doctor of medicine (MD)-only US medical school matriculants in academic years 2014-2015 and 2015-2016. The analysis was performed from July to September 2021.The main outcome was attrition, defined as withdrawal or dismissal from medical school for any reason. Attrition rate was explored across 3 self-reported marginalized identities: underrepresented in medicine (URiM) race and ethnicity, low income, and underresourced neighborhood status. Logistic regression was assessed for each marginalized identity and intersections across the 3 identities.Among 33 389 allopathic MD-only medical school matriculants (51.8% male), 938 (2.8%) experienced attrition from medical school within 5 years. Compared with non-Hispanic White students (423 of 18 213 [2.3%]), those without low income (593 of 25 205 [2.3%]), and those who did not grow up in an underresourced neighborhood (661 of 27 487 [2.4%]), students who were URiM (Hispanic [110 of 2096 (5.2%); adjusted odds ratio (aOR), 1.41; 95% CI, 1.13-1.77], non-Hispanic American Indian/Alaska Native/Native Hawaiian/Pacific Islander [13 of 118 (11.0%); aOR, 3.20; 95% CI, 1.76-5.80], and non-Hispanic Black/African American [120 of 2104 (5.7%); aOR, 1.41; 95% CI, 1.13-1.77]), those who had low income (345 of 8184 [4.2%]; aOR, 1.33; 95% CI, 1.15-1.54), and those from an underresourced neighborhood (277 of 5902 [4.6%]; aOR, 1.35; 95% CI, 1.16-1.58) were more likely to experience attrition from medical school. The rate of attrition from medical school was greatest among students with all 3 marginalized identities (ie, URiM, low income, and from an underresourced neighborhood), with an attrition rate 3.7 times higher than that among students who were not URiM, did not have low income, and were not from an underresourced neighborhood (7.3% [79 of 1086] vs 1.9% [397 of 20 353]; P .001).This retrospective cohort study demonstrated a significant association of medical student attrition with individual (race and ethnicity and family income) and structural (growing up in an underresourced neighborhood) measures of marginalization. The findings highlight a need to retain students from marginalized groups in medical school.

BackgroundMany patients hospitalized with non-ST elevation myocardial infarction (NSTEMI) are older adults (age ≥75), in whom invasive coronary angiography confers potential benefits but also higher risks than the general population. Our goal was to therefore develop a patient decision aid (PtDA) to assist with shared decision making (SDM) between cardiologists and older adults with this condition.MethodsWe followed International Patient Decision Aid Standards to develop the NSTEMI Decide PtDA. The initial prototype was based on structured interviews from 20 patients and 20 clinicians. Risks and benefits of invasive coronary angiography were derived from the available literature in older adults, with an emphasis on findings from randomized trials. The PtDA was then revised through an iterative, user-centered design approach with rapid prototyping using input from both clinician and patients to meet the needs of both stakeholders.ResultsThe PtDA went through 8 iterations. The final decision aid was 11 pages and included background information (6 pages), explanation of benefits and risks (4 pages), and a summary (1 page). Large font (≥26 point) was used to accommodate visual difficulties. Language was tailored to an 8th grade reading level. Based on the best available literature, we included benefits of invasive coronary angiography (recurrent myocardial infarction, repeat revascularization) and risks (stroke, bleeding, acute kidney injury). The final PtDA was converted to a mobile health application to increase usability on portable digital devices in the clinical setting.ConclusionsWe developed the first PtDA tailored to older adults hospitalized with NSTEMI. This PtDA will be prospectively tested to evaluate dimensions including feasibility of use, satisfaction with care, medical knowledge, and decisional conflict.

BACKGROUND Participation in ambulatory cardiac rehabilitation remains low, especially among older adults. Although mobile health cardiac rehabilitation (mHealth-CR) provides a novel opportunity to deliver care, age-specific impairments may limit older adults’ uptake, and efficacy data are currently lacking. OBJECTIVE This study aims to describe the design of the rehabilitation using mobile health for older adults with ischemic heart disease in the home setting (RESILIENT) trial. METHODS RESILIENT is a multicenter randomized clinical trial that is enrolling patients aged ≥65 years with ischemic heart disease in a 3:1 ratio to either an intervention (mHealth-CR) or control (usual care) arm, with a target sample size of 400 participants. mHealth-CR consists of a commercially available mobile health software platform coupled with weekly exercise therapist sessions to review progress and set new activity goals. The primary outcome is a change in functional mobility (6-minute walk distance), which is measured at baseline and 3 months. Secondary outcomes are health status, goal attainment, hospital readmission, and mortality. Among intervention participants, engagement with the mHealth-CR platform will be analyzed to understand the characteristics that determine different patterns of use (eg, persistent high engagement and declining engagement). RESULTS As of December 2021, the RESILIENT trial had enrolled 116 participants. Enrollment is projected to continue until October 2023. The trial results are expected to be reported in 2024. CONCLUSIONS The RESILIENT trial will generate important evidence about the efficacy of mHealth-CR among older adults in multiple domains and characteristics that determine the sustained use of mHealth-CR. These findings will help design future precision medicine approaches to mobile health implementation in older adults. This knowledge is especially important in light of the COVID-19 pandemic that has shifted much of health care to a remote, internet-based setting. CLINICALTRIAL ClinicalTrials.gov NCT03978130; https://clinicaltrials.gov/ct2/show/NCT03978130 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/32163

ObjectiveTo develop a 180-day readmission risk model for older adults with acute myocardial infarction (AMI) that considered a broad range of clinical, demographic and age-related functional domains.MethodsWe used data from ComprehenSIVe Evaluation of Risk in Older Adults with AMI (SILVER-AMI), a prospective cohort study that enrolled participants aged ≥75 years with AMI from 94 US hospitals. Participants underwent an in-hospital assessment of functional impairments, including cognition, vision, hearing and mobility. Clinical variables previously shown to be associated with readmission risk were also evaluated. The outcome was 180-day readmission. From an initial list of 72 variables, we used backward selection and Bayesian model averaging to derive a risk model (N=2004) that was subsequently internally validated (N=1002).ResultsOf the 3006 SILVER-AMI participants discharged alive, mean age was 81.5 years, 44.4% were women and 10.5% were non-white. Within 180 days, 1222 participants (40.7%) were readmitted. The final risk model included 10 variables: history of chronic obstructive pulmonary disease, history of heart failure, initial heart rate, first diastolic blood pressure, ischaemic ECG changes, initial haemoglobin, ejection fraction, length of stay, self-reported health status and functional mobility. Model discrimination was moderate (0.68 derivation cohort, 0.65 validation cohort), with good calibration. The predicted readmission rate (derivation cohort) was 23.0% in the lowest quintile and 65.4% in the highest quintile.ConclusionsOver 40% of participants in our sample experienced hospital readmission within 180 days of AMI. Our final readmission risk model included a broad range of characteristics, including functional mobility and self-reported health status, neither of which have been previously considered in 180-day risk models.