Regular Physician Access and Obesity Status Among Underserved Asian and Pacific Islander American Immigrants in Los Angeles.

According to prior research, Asian and Pacific Islander American (APIA) immigrants often refrain from seeking health care unless necessitated by medical conditions. Utilizing data from health screenings conducted in APIA immigrant enclaves in Los Angeles, we hypothesize that poorer obesity status would predict higher rates of regular physician access. Analyses involved objectively measured percent body fat (%BF) and survey responses collected between 2011 and 2019. We assessed the association between obesity status and regular physician access, adjusting for insurance status, demographic, and socioeconomic factors. The study population (n = 4102) primarily consisted low-income, low English proficiency APIAs. Participants with a regular physician were significantly more likely to be obese compared to participants without (adjusted odds ratio [aOR] = 1.28, 95% confidence interval [CI] = [1.03, 1.58], P = .02). This association may suggest that care was sought reactively rather than proactively within this community. Interventions with emphasis on cultural competency and language services may encourage preventative care utilization among this understudied community.

MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline.

Large-scale diffusion MRI tractography remains a significant challenge. Users must orchestrate a complex sequence of instructions that requires many software packages with complex dependencies and high computational costs. We developed MaPPeRTrac, an edge-centric tractography pipeline that simplifies and accelerates this process in a wide range of high-performance computing (HPC) environments. It fully automates either probabilistic or deterministic tractography, starting from a subject's magnetic resonance imaging (MRI) data, including structural and diffusion MRI images, to the edge density image (EDI) of their structural connectomes. Dependencies are containerized with Singularity (now called Apptainer) and decoupled from code to enable rapid prototyping and modification. Data derivatives are organized with the Brain Imaging Data Structure (BIDS) to ensure that they are findable, accessible, interoperable, and reusable following FAIR principles. The pipeline takes full advantage of HPC resources using the Parsl parallel programming framework, resulting in the creation of connectome datasets of unprecedented size. MaPPeRTrac is publicly available and tested on commercial and scientific hardware, so it can accelerate brain connectome research for a broader user community. MaPPeRTrac is available at: https://github.com/LLNL/mappertrac .

Mental Health Disparities among Pre-Clinical Medical Students at Saint Louis University during the COVID-19 Pandemic.

The COVID-19 pandemic disproportionately affected racial and ethnic minorities. Medical students were also particularly impacted as they coped with increased stressors due to delayed medical training and a high prevalence of mental health conditions. This study investigates mental health disparities of underrepresented in medicine (URM) students at the Saint Louis University School of Medicine (SLUSOM). An anonymous online survey was distributed to first- and second-year medical students at SLUSOM in February 2021. The survey queried demographic information, lifestyle factors, and pandemic-related and institutional concerns. Mental health was assessed via the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9). Statistical tests were run with SPSS, version 27. A convenience sample of 87 students responded to the survey. Students who were categorized as URM were significantly more likely to be at risk of major depressive disorder during the pandemic. Concern about a lack of financial support was significantly greater among students categorized as URM. Concerns regarding a lack of financial support, mental health support, and decreased quality of medical training significantly predicted PHQ-9 scores. Our findings revealed several key factors that may exacerbate mental health disparities among URM students during the pandemic. Providing adequate financial and academic resources for URMs may improve mental health outcomes for similar adverse events in the future.

Longitudinal White and Gray Matter Response to Precision Medicine-Guided Intervention for Alzheimer's Disease.

BACKGROUND: Alzheimer's disease (AD) is a debilitating condition that is widely known to adversely affect gray matter (GM) and white matter (WM) tracts within the brain. Recently, precision medicine has shown promise in alleviating the clinical and gross morphological trajectories of patients with AD. However, regional morphological changes have not yet been adequately characterized. OBJECTIVE: Investigate regional morphological responses to a precision medicine-guided intervention with regards to white and gray matter in AD and mild cognitive impairment (MCI). METHODS: Clinical and neuroimaging data were compiled over a 9-month period from 25 individuals who were diagnosed with AD or MCI receiving individualized treatment plans. Structural T1-weighted MRI scans underwent segmentation and volumetric quantifications via Neuroreader. Longitudinal changes were calculated via annualized percent change of WM or GM ratios. RESULTS: Montreal Cognitive Assessment scores (p < 0.001) and various domains of the Computerized Neurocognitive Screening Vital Signs significantly improved from baseline to 9-month follow-up. There was regional variability in WM and GM atrophy or hypertrophy, but none of these observed changes were statistically significant after correction for multiple comparisons.

Paving the Way for Alzheimer's Disease Prevention: A Systematic Review of Global Open-Access Neuroimaging Datasets in Healthy Individuals.

BACKGROUND: Given the advent of large-scale neuroimaging data-driven endeavors for Alzheimer's disease, there is a burgeoning need for well-characterized neuroimaging databases of healthy individuals. With the rise of initiatives around the globe for the rapid and unrestricted sharing of data resources, there is now an abundance of open-source neuroimaging datasets available to the research community. However, there is not yet a systematic review that fully details the demographic information and modalities actually available in all open access neuroimaging databases around the globe. OBJECTIVE: This systematic review aims to provide compile a list of MR structural imaging databases encompassing healthy individuals across the lifespan. METHODS: In this systematic review, we searched EMBASE and PubMed until May 2022 for open-access neuroimaging databases containing healthy control participants of any age, race, with normal development and cognition having at least one structural T1-weighted neuroimaging scan. RESULTS: A total of 403 databases were included, for up to total of 48,268 participants with all available demographic information and imaging modalities detailed in Supplementary Table 1. There were significant trends noted when compiling normative databases for this systematic review, notably that 11.7% of databases included reported ethnicity in their participants, with underrepresentation of many socioeconomic groups globally. CONCLUSIONS: As efforts to improve primary prevention of AD may require a broader perspective including increased relevance of earlier stages in life, and strategies in addressing modifiable risk factors may be individualized to specific demographics, improving data characterization to be richer and more rigorous will greatly enhance these efforts.

Fruitful or unfruitful: strawberry and tomato specific immunoglobulin E testing at a tertiary pediatric center.

Background: Suspected strawberry and tomato (S/T) food allergy (FA) can be evaluated using specific immunoglobulin E (sIgE) testing despite its low specificity and positive predictive value. Objective: This study aims to understand ordering patterns for S/T sIgE testing and identify relevant factors to clinical decision-making. Methods: We retrospectively reviewed 814 patients with sIgE testing available for strawberries (651), tomatoes (276), or both (113) from January 2012 to May 2022 at a tertiary pediatric hospital. Patient demographics, provider specialty, and reasons for testing were collected. Student's t-test and multiple regression analyses were performed to test the association between the S/T sIgE level and clinically relevant outcome (CRO) status. Fisher's exact test and general linear models were used to evaluate and compare potential predictive factors for CRO status. Results: Allergy and immunology, gastroenterology, and general pediatrics ordered most S/T sIgE testing. Testing was ordered most frequently for non-IgE-mediated gastrointestinal symptoms, mild possible IgE-mediated reactions, and eczema. Testing was most often ordered for infants and school-age children. Mean sIgE levels were higher for S/T tests resulting in a CRO when controlling for other predictor variables (p = 0.015; p = 0.002 for S/T, respectively). Only 2.2% and 5.4% of tests resulted in a CRO for S/T, and severe allergy was rare. Testing for non-IgE-mediated GI symptoms or eczema, or in non-atopic patients, yielded no CROs. Exposure and reaction history of present illness (ERH) was associated with CROs (p < 0.001; p = 0.04) with a high negative predictive value (99.5%; 100%) and low positive predictive value (11.5%; 15.0%). ERH (p < 0.001, η2 = 0.073; p = 0.009, η2 = 0.123) was a more significant predictor than the sIgE level (p = 0.002, η2 = 0.037; p = 0.212, η2 = 0.030) for CRO status. Conclusion: The diagnosis of S/T food allergy is made primarily based on clinical history. S/T sIgE testing for children and adolescents should be avoided for patients without an ERH and in the workup of non-IgE-mediated GI symptoms. Testing for eczema and non-atopic patients is likely low-yield.

Precision Medicine Approach to Alzheimer's Disease: Rationale and Implications.

The neurodegenerative disease field has enjoyed extremely limited success in the development of effective therapeutics. One potential reason is the lack of disease models that yield accurate predictions and optimal therapeutic targets. Standard clinical trials have pre-determined a single treatment modality, which may be unrelated to the primary drivers of neurodegeneration. Recent proof-of-concept clinical trials using a precision medicine approach suggest a new model of Alzheimer's disease (AD) as a chronic innate encephalitis that creates a network insufficiency. Identifying and addressing the multiple potential contributors to cognitive decline for each patient may represent a more effective strategy. Here we review the rationale for a precision medicine approach in prevention and treatment of cognitive decline associated with AD. Results and implications from recent proof-of-concept clinical trials are presented. Randomized controlled trials, with much larger patient numbers, are likely to be significant to establishing precision medicine protocols as a standard of care for prevention and treatment of cognitive decline. Furthermore, combining this approach with the pharmaceutical approach offers the potential for enhanced outcomes. However, incorporating precision medicine approaches into everyday evaluation and care, as well as future clinical trials, would require fundamental changes in trial design, IRB considerations, funding considerations, laboratory evaluation, personalized treatment plans, treatment teams, and ultimately in reimbursement guidelines. Nonetheless, precision medicine approaches to AD, based on a novel model of AD pathophysiology, offer promise that has not been realized to date with monotherapeutic approaches.

Longitudinal Patterns of Brain Changes in a Community Sample in Relation to Aging and Cognitive Status.

BACKGROUND: Aging and Alzheimer's disease (AD) are characterized by widespread cortical and subcortical atrophy. Though atrophy patterns between aging and AD overlap considerably, regional differences between these two conditions may exist. Few studies, however, have investigated these patterns in large community samples. OBJECTIVE: Elaborate longitudinal changes in brain morphometry in relation to aging and cognitive status in a well-characterized community cohort. METHODS: Clinical and neuroimaging data were compiled from 72 participants from the Cardiovascular Health Study-Cognition Study, a community cohort of healthy aging and probable AD participants. Two time points were identified for each participant with a mean follow-up time of 5.36 years. MRI post-processing, morphometric measurements, and statistical analyses were performed using FreeSurfer, Version 7.1.1. RESULTS: Cortical volume was significantly decreased in the bilateral superior frontal, bilateral inferior parietal, and left superior parietal regions, among others. Cortical thickness was significantly reduced in the bilateral superior frontal and left inferior parietal regions, among others. Overall gray and white matter volumes and hippocampal subfields also demonstrated significant reductions. Cortical volume atrophy trajectories between cognitively stable and cognitively declined participants were significantly different in the right postcentral region. CONCLUSION: Observed volume reductions were consistent with previous studies investigating morphometric brain changes. Patterns of brain atrophy between AD and aging may be different in magnitude but exhibit widespread spatial overlap. These findings help characterize patterns of brain atrophy that may reflect the general population. Larger studies may more definitively establish population norms of aging and AD-related neuroimaging changes.

Disparity in Obesity and Hypertension Risks Observed Between Pacific Islander and Asian American Health Fair Attendees in Los Angeles, 2011-2019.

INTRODUCTION: The Pacific Islander American population is understudied due to being aggregated with Asian Americans. In this study, we conduct a comparative analysis of directly measured body mass index (BMI), body fat percentage (%BF), and blood pressure (BP) between Pacific Islander Americans and Asian Americans from health screenings in Los Angeles, California. We hope to reveal intra-APIA health disparities masked by this data aggregation. METHODS: We analyzed BMI, %BF, and BP that were objectively measured by trained personnel at health screenings in Los Angeles between January 2011 and December 2019. We performed multivariable multinomial logistic regression models with obesity and hypertensive categories as outcome variables and ethnicity as the primary independent variable of interest. Models controlled for year of visit, participant age, sex, income, education level, years living in the USA, employment status, English proficiency, regular doctor access, and health insurance status. RESULTS: A total of 4,832 individuals were included in the analysis. Multivariable analyses revealed that Pacific Islander participants were at significantly higher risks for being classified as obese compared with all Asian American subgroups studied, including Chinese, Korean, Thai, Vietnamese, Filipino, and Japanese. Pacific Islanders also exhibited significantly lower predicted probability of having a normal blood pressure compared with Chinese and Thai participants. Some variation between Asian subgroups were also observed. CONCLUSIONS: Pacific Islander participants had higher risk of several sentinel health problems compared to Asian American participants. Disaggregation of PI Americans from the APIA umbrella category in future studies is necessary to unmask the critical needs of this important community.

Precision Medicine Approach to Alzheimer's Disease: Successful Pilot Project.

BACKGROUND: Effective therapeutics for Alzheimer's disease are needed. However, previous clinical trials have pre-determined a single treatment modality, such as a drug candidate or therapeutic procedure, which may be unrelated to the primary drivers of the neurodegenerative process. Therefore, increasing data set size to include the potential contributors to cognitive decline for each patient, and addressing the identified potential contributors, may represent a more effective strategy. OBJECTIVE: To determine whether a precision medicine approach to Alzheimer's disease and mild cognitive impairment is effective enough in a proof-of-concept trial to warrant a larger, randomized, controlled clinical trial. METHODS: Twenty-five patients with dementia or mild cognitive impairment, with Montreal Cognitive Assessment (MoCA) scores of 19 or higher, were evaluated for markers of inflammation, chronic infection, dysbiosis, insulin resistance, protein glycation, vascular disease, nocturnal hypoxemia, hormone insufficiency or dysregulation, nutrient deficiency, toxin or toxicant exposure, and other biochemical parameters associated with cognitive decline. Brain magnetic resonance imaging with volumetrics was performed at baseline and study conclusion. Patients were treated for nine months with a personalized, precision medicine protocol, and cognition was assessed at t = 0, 3, 6, and 9 months. RESULTS: All outcome measures revealed improvement: statistically significant improvement in MoCA scores, CNS Vital Signs Neurocognitive Index, and Alzheimer's Questionnaire Change score were documented. No serious adverse events were recorded. MRI volumetrics also improved. CONCLUSION: Based on the cognitive improvements observed in this study, a larger, randomized, controlled trial of the precision medicine therapeutic approach described herein is warranted.

Aeroallergens in Atopic Dermatitis and Chronic Urticaria.

PURPOSE OF REVIEW: While aeroallergens are a well-established trigger of asthma and allergic rhinitis, their role in allergic skin diseases such as atopic dermatitis and chronic urticaria remains controversial. This paper reviews the pathophysiology and clinical evidence for aeroallergens in these allergic skin diseases and summarizes current strategies for evaluation and management. RECENT FINDINGS: Current evidence implicates aeroallergens as triggers of cutaneous reactions in atopic dermatitis. Direct skin contact is the likely route of trigger. Aeroallergens may also trigger chronic urticaria, though mechanistic studies are limited. These allergens may cross the skin barrier and directly trigger neurons to release substance P, resulting in mast cell degranulation and dumping of histamine and prostaglandin D2. Many studies link aeroallergen sensitization to chronic urticaria, and case reports suggest the utility of avoidance strategies. The role of aeroallergens as a trigger is clear in atopic dermatitis and becoming emergent in chronic urticaria. Skin prick testing or serum-specific immunoglobulin E testing may be used to determine sensitivities. Management at this time centers on avoidance, and further studies are necessary to evaluate the efficacy of aeroallergen immunotherapy for both conditions.

Medical student anxiety and depression in the COVID-19 Era: Unique needs of underrepresented students.

Background: The COVID-19 pandemic has caused significant morbidity, mortality, and mental health consequences. Few studies have examined the mental toll of COVID-19 on United States (US) medical students, who experience greater rates of depression and anxiety than the general population. Students who identify as underrepresented in medicine (URM) may experience even greater mental health adversities than non-URM peers. This study examines COVID-19's impact on preclinical medical student anxiety and depression and unique challenges disproportionately affecting URM students during the initial phase of the pandemic. Methods: Medical students at four US institutions completed an anonymous survey including the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) questionnaires for depression and anxiety. Participants provided information on demographics, past mental health difficulties, and concerns during the pandemic. Chi-square and Mann-Whitney U tests were performed using SPSS. Results: During the initial phase of the pandemic, URMs were 3.71 times more likely to be in the at-risk category on GAD-7 than non-URM peers. Before COVID-19, there was no significant difference between self-reported feelings or diagnoses of anxiety between groups. During the COVID-19 pandemic, there were significant differences in feelings of increased anxiety between URM (Mdn = 76) and non-URM (Mdn = 49) students, U = 702.5, P < 0.001, feelings of increased sadness between URM (Mdn = 49) and non-URM (Mdn = 34) students, U = 1036.5, P = 0.042, concern for new financial difficulty between URM (Mdn = 50) and non-URM students (Mdn = 7), U = 950.5, P = 0.012, and concern about lack of mental health support from their academic institution between URM (Mdn = 18) and non-URM students (Mdn = 9), U = 1083, P = 0.036 (one-tailed). Discussion: Large-scale crises such as COVID-19 may exacerbate mental health disparities between URM and non-URM students. Medical schools should consider increasing financial and mental health support for URM students in response to these significant adverse events.

APA Health CARE: A Student-Led Initiative Addressing Health Care Barriers Faced by the Asian and Pacific Islander American Immigrant Population in Los Angeles.

Asian and Pacific Islander Americans face cultural, linguistic, and financial barriers to accessing health care. APA Health CARE (APAHC), a UCLA student-led organization, attempts to bridge these disparities through free community health screenings, health education seminars, and follow-up procedures. From 2011 to 2018, participants' demographic and health-related information were recorded during health fairs and follow-up phone calls. Trends in participant characteristics were analyzed over time. Health fair data were compared to data from follow-up phone calls to assess the effectiveness of health fair education and referral practices. 5635 participants from 69 health fairs were screened over the 8-year period. Follow-up contact was attempted for 2258 participants, of which 555 responded. Over time, a greater proportion of participants reported higher income, health insurance, and access to a regular doctor. Of those contacted at follow-up, 32.3% reported visiting a doctor, 50.2% reported making lifestyle changes, and 68.0% of those who were uninsured at health fairs reported obtaining health insurance within 1 month of attendance. Despite an observed increase in the proportion of participants having insurance and a regular doctor, health fair attendance remained consistent, possibly due to Asian American immigrants' preference for services that are convenient and linguistically and culturally accessible. Attendees reported visiting a physician, making lifestyle changes, and obtaining health insurance based on health fair referrals, suggesting measurable success with referral uptake and follow through. Student-led initiatives similar to APAHC can serve as catalysts to increase health literacy and motivate communities to seek health insurance and care.

Association between cortical volume and gray-white matter contrast with second generation antipsychotic medication exposure in first episode male schizophrenia patients.

This cross-sectional study examines the differences in cortical volume and gray-to-white matter contrast (GWC) in first episode schizophrenia patients (SCZ) compared to healthy control participants (HC) and in SCZ patients as a function of exposure to second generation antipsychotic medication. We hypothesize 1) SCZ exhibit regionally lower cortical volumes relative to HCs, 2) cortical volume will be greater with longer exposure to second generation antipsychotics prior to the MRI scan, and 3) lower GWC with longer exposure to second generation antipsychotics prior to the MRI scan, suggesting more blurring from greater intracortical myelin. To accomplish this, MRI scans from 71 male SCZ patients treated with second generation oral risperidone and 42 male HCs were examined. 3D T1-weighted MPRAGE images collected at 1.5T were used to estimate cortical volume and GWC by sampling signal intensity at 30% within the cortical ribbon. Average cortical volume and GWC were calculated and compared between SCZ and HC. Cortical volume and GWC in SCZ patients were correlated with duration of medication exposure for the time period prior to the scan. First-episode SCZ patients had significantly lower cortical volume compared to HCs in bilateral temporal, superior and rostral frontal, postcentral gyral, and parahippocampal regions. In SCZ patients, greater cortical volume was associated with (log-transformed) duration of second-generation antipsychotic medication exposure in bilateral precuneus, right lingual, and right superior parietal regions. Lower GWC was correlated with longer duration of medication exposure bilaterally in the superior frontal lobes. In summary, second generation antipsychotics may increase cortical volume and decrease GWC in first episode SCZ patients.