Automatic Chemical Profiling of Wine by Proton Nuclear Magnetic Resonance Spectroscopy.

We report the development of MagMet-W (magnetic resonance for metabolomics of wine), a software program that can automatically determine the chemical composition of wine via 1H nuclear magnetic resonance (NMR) spectroscopy. MagMet-W is an extension of MagMet developed for the automated metabolomic analysis of human serum by 1H NMR. We identified 70 compounds suitable for inclusion into MagMet-W. We then obtained 1D 1H NMR reference spectra of the pure compounds at 700 MHz and incorporated these spectra into the MagMet-W compound library. The processing of the wine NMR spectra and profiling of the 70 wine compounds were then optimized based on manual 1H NMR analysis. MagMet-W can automatically identify 70 wine compounds in most wine samples and can quantify them to 10-15% of the manually determined concentrations, and it can analyze multiple spectra simultaneously, at 10 min per spectrum. The MagMet-W Web server is available at https://www.magmet.ca.

Thyrotoxic Periodic Paralysis: A Case Report with Patient Perspective.

We present a case report on a spot diagnosis of Thyrotoxic Periodic Paralysis (TPP) with a unique first-person account of events from the patient. It illustrates the importance of pattern recognition and exemplifies how timely treatment enables quick resolution of a life-threatening medical emergency. Patient X's account affirms the condition's insidious onset and rapid deterioration. This case highlights the need for raising awareness of diseases that are more prevalent in specific ethnic groups and is particularly crucial for work in culturally diverse environments. We hope by sharing our experience, readers will be prompted to consider TPP as a differential diagnosis for acute limb weakness in an acute setting; with prompt testing of thyroid function and initiation of the appropriate treatments.

School knowledge of infectious diseases in schools: conducting surveillance and on-demand, symptomatic respiratory viral testing in a large pre-kindergarten-12th grade school district.

Background: Limited data about acute respiratory illness (ARI) and respiratory virus circulation are available in congregate community settings, specifically schools. To better characterize the epidemiology of ARI and respiratory viruses in schools, we developed School Knowledge of Infectious Diseases in Schools (School KIDS). Methods: School KIDS is a prospective, respiratory viral testing program in a large metropolitan school district (pre-kindergarten-12th grade) in Kansas City, Missouri. During the 2022-2023 school year, all students and staff were eligible to participate in surveillance respiratory viral testing at school by submitting observed self-administered nasal swabs monthly. Participants could also submit a nasal swab for on-demand symptomatic testing when experiencing ≥1 ARI symptom, including cough, fever, nasal congestion, runny nose, shortness of breath, sore throat, and/or wheezing. Swabs were tested in a research laboratory using multipathogen respiratory polymerase chain reaction assays. Participants were evaluated for ongoing viral shedding by collecting two weekly nasal swabs (i.e., convalescent), following initial on-demand symptomatic testing. Participants were asked to complete an electronic survey to capture the presence and type of ARI symptom(s) before the collection of respiratory swabs. Results: From 31 October 2022 to 29 June 2023, School KIDS enrolled 978 participants, including 700 students, representing 3.4% of the district student population, and 278 staff members. Participants submitted a median of six surveillance, one symptomatic, and two convalescent specimens during the study period. A total of 6,315 respiratory specimens, including 4,700 surveillance, 721 on-demand symptomatic, and 894 convalescent specimens, were tested. Overall, a virus was detected in 1,168 (24.9%) surveillance and 363 (50.3%) symptomatic specimens. Of the 5,538 symptom surveys sent to participants before scheduled surveillance testing, 4,069 (73.5%) were completed; ARI symptoms were reported on 1,348 (33.1%) surveys. Conclusion: Respiratory surveillance testing in schools is feasible and provides novel information about respiratory virus detections in students and staff attending school. Schools are an important community setting, and better knowledge of respiratory virus circulation in schools may be useful to identify respiratory virus transmission in the community and assess the impact of effective infection prevention measures.

Impact of Antifungal Prophylaxis Continuation or Discontinuation After Allogeneic Hematopoietic Cell Transplant on the Incidence of Invasive Mold Infection.

Background: Continuing antifungal prophylaxis (AFPx) to prevent invasive mold infections (IMIs) in recipients of allogeneic hematopoietic cell transplantation (alloHCT) after primary hospital discharge from alloHCT admission varies among transplant centers despite recommendations to continue prophylaxis through day +75. Characteristics driving AFPx prescribing at hospital discharge and outcomes are unknown. Methods: In this retrospective analysis, we reviewed patients continuing AFPx vs no AFPx at hospital discharge. We included patients with a hospital stay ≥7 days and ≤40 days. We excluded patients with a history of IMI prior to alloHCT, new IMI during admission, or death prior to discharge. Our primary objective was incidence of probable or proven IMI per the European Organization for Research and Treatment of Cancer and the Mycoses Study Group Education and Research Consortium. Our secondary objectives were nonrelapse mortality at day +100, overall survival at day +100, and characteristics driving AFPx discontinuation at hospital discharge. Results: Of the 430 patients identified, 387 met inclusion criteria. At discharge, 56% (217/387) continued AFPx, and 44% (170/387) had no AFPx. At day +100, 3 probable IMI cases occurred in the group with continued AFPx vs 1 probable IMI case in the no-AFPx group (no proven IMI). Univariate analysis showed no difference in cumulative incidence of probable IMI (P = .440), nonrelapse mortality (P = .072), and overall survival (P = .855) between groups. Multivariable logistic regression demonstrated that patients were less likely to continue AFPx if they had a diagnosis other than acute myeloid leukemia, a length of stay ≤30 days, acute graft-vs-host disease grade 0 or 1, and corticosteroid use ≤5 days. Conclusions: There was no difference in probable IMI at day +100 after alloHCT based on continuing vs discontinuing AFPx at hospital discharge after alloHCT admission supporting a risk-adapted prophylaxis approach.

Self-Reported COVID-19 Vaccine and Booster Acceptance and Hesitancy Among Autistic Adults in Pennsylvania: Cross-Sectional Analysis of Survey Data.

BACKGROUND: The autistic population is rapidly increasing; meanwhile, autistic adults face disproportionate risks for adverse COVID-19 outcomes. Limited research indicates that autistic individuals have been accepting of initial vaccination, but research has yet to document this population's perceptions and acceptance of COVID-19 boosters. OBJECTIVE: This study aims to identify person-level and community characteristics associated with COVID-19 vaccination and booster acceptance among autistic adults, along with self-reported reasons for their stated preferences. Understanding this information is crucial in supporting this vulnerable population given evolving booster guidelines and the ending of the public health emergency for the COVID-19 pandemic. METHODS: Data are from a survey conducted in Pennsylvania from April 11 to September 12, 2022. Demographic characteristics, COVID-19 experiences, and COVID-19 vaccine decisions were compared across vaccination status groups. Chi-square analyses and 1-way ANOVA were conducted to test for significant differences. Vaccination reasons were ranked by frequency; co-occurrence was identified using phi coefficient correlation plots. RESULTS: Most autistic adults (193/266, 72.6%) intended to receive or received the vaccine and booster, 15% (40/266) did not receive or intend to receive any vaccine, and 12.4% (33/266) received or intended to receive the initial dose but were hesitant to accept booster doses. Reasons for vaccine acceptance or hesitancy varied by demographic factors and COVID-19 experiences. The most significant were previously contracting COVID-19, desire to access information about COVID-19, and discomfort with others not wearing a mask (all P=.001). County-level factors, including population density (P=.02) and percentage of the county that voted for President Biden (P=.001) were also significantly associated with differing vaccination acceptance levels. Reasons for accepting the initial COVID-19 vaccine differed among those who were or were not hesitant to accept a booster. Those who accepted a booster were more likely to endorse protecting others and trusting the vaccine as the basis for their acceptance, whereas those who were hesitant about the booster indicated that their initial vaccine acceptance came from encouragement from someone they trusted. Among the minority of those hesitant to any vaccination, believing that the vaccine was unsafe and would make them feel unwell were the most often reported reasons. CONCLUSIONS: Intention to receive or receiving the COVID-19 vaccination and booster was higher among autistic adults than the population that received vaccines in Pennsylvania. Autistic individuals who accepted vaccines prioritized protecting others, while autistic individuals who were vaccine hesitant had safety concerns about vaccines. These findings inform public health opportunities and strategies to further increase vaccination and booster rates among generally accepting autistic adults, to better support the already strained autism services and support system landscape. Vaccination uptake could be improved by leveraging passive information diffusion to combat vaccination misinformation among those not actively seeking COVID-19 information to better alleviate safety concerns.

Contrasting methods to operationalize antibiotic exposure in clinical research: a real-world application on healthcare-associated Clostridioides difficile infection.

The goal of this article is to summarize common methods of antibiotic operationalization used in clinical research and demonstrate methods for exposure variable selection. We demonstrate three methods for modeling exposure, using data from a case-control study on Clostridioides difficile infection in hospitalized patients: 1) factor analysis, 2) logistic regression models, and 3) Least Absolute Shrinkage and Selection Operator (LASSO) regression. The factor analysis identified 8 variables contributing the most variation in the dataset: any antibiotic exposure; number of antibiotic classes; number of antibiotic courses; dose; and specific classes monobactam, 𝛽-lactam 𝛽-lactamase inhibitors, rifamycin, and cephalosporin. The logistic regression models resulting in the best model fit used predictors representing any antibiotic exposure and the proportion of a patient's hospitalization on antibiotics. The LASSO model selected 22 variables for inclusion in the predictive model, of which 10 were antibiotic exposure variables, including: any antibiotic exposure; classes 𝛽-lactam 𝛽-lactamase inhibitors, carbapenem, cephalosporin, fluoroquinolone, monobactam, rifamycin, sulfonamides, and miscellaneous; and proportion of hospitalization on antibiotics. Investigators studying antibiotic use should consider multiple characteristics of exposure informed by their research question and the theory on how antibiotics may impact the distribution of the outcome in their target population.

Emergency Department Utilization and Outcomes among Adults with Cirrhosis from 2008 to 2022 in the United States.

BACKGROUND&AIMS: Globally, emergency departments (ED) are experiencing rising costs and crowding. Despite its importance, ED utilization and outcomes among patients with cirrhosis are understudied. METHODS: We analyzed Optum's de-identified Clinformatics® Data Mart Database, between 2008-2022, including adults with at least 180 days of enrollment. Liver transplant recipients were censored at the year of transplant. ED visits (stratified by liver vs non-liver related) were identified using validated billing code definitions. Linear regression was used to assess ED visits per year and logistic regression was used to assess 90-day mortality rates and discharge dispositions, with models adjusted for patient- and visit-level characteristics. RESULTS: Among 38,419,650 patients, 198,439 were with cirrhosis (median age 66[IQR 57-72]; 54% male; 62% white). In age-adjusted analysis, ED visits per person-year were 1.72[95CI 1.71-1.74] with cirrhosis vs 0.46[0.46-0.46] without cirrhosis, 1.66[1.66-1.66] for congestive heart failure (CHF), and 1.22[1.22-1.22] for chronic obstructive pulmonary disease (COPD). Age-adjusted 90-day mortality rates were 12.2%[95CI 12.1-12.4] with cirrhosis vs 4.8%[4.8-4.8] without cirrhosis, 6.9%[6.9-6.9] for CHF, and 6.3%[6.3-6.4] for COPD. Non-liver (vs liver-related) ED visits were more likely to lead to discharge home among patients with compensated (52.8%[52.2-53.5] vs 39.2% [38.5-39.8]) and decompensated (42.2%[41.5-42.8] vs 29.5%[29.0-30.1]) cirrhosis. In exploratory analysis, among patients who remained alive and were not readmitted for 30-days after ED discharge, those without any outpatient follow-up had higher 90-day mortality (22.0%[21.0-23.0]) than those with both primary care and gastroenterology/hepatology follow-up within 30-days (7.9%[7.3-8.5]). CONCLUSIONS: Patients with cirrhosis have higher ED utilization and almost 2-fold higher post-ED visit mortality than CHF and COPD. These findings provide impetus for ED-based interventions to improve cirrhosis-related outcomes.

A Comparison of Telesimulation Using the Virtual Resus Room and In Situ Simulation in Pediatric Emergency Medicine.

OBJECTIVES: During the COVID-19 pandemic, there was a marked shift toward telesimulation in medical education. Limited studies exist comparing the effectiveness of online and offline simulation education. The goals of this study are to evaluate active learners' perceived effectiveness of telesimulation versus in situ simulation and to identify potential shortcomings of existing online teaching platforms. METHODS: Through participant evaluations after a simulation, we compared telesimulation using the Virtual Resus Room (VRR) to in situ simulation in the domains of (1) self-efficacy, (2) fidelity, (3) educational value, and (4) teaching quality. Study subjects included medical and pharmacy residents and medical students completing their pediatric emergency medicine rotation at two children's hospitals as well as nurses, nurse practitioners, and physician assistants who were recently hired and orienting to their new roles in the emergency department. Learners used a modified Michigan Standard Simulation Experience Scale to evaluate either a telesimulation or in situ simulation case. Survey responses were compared using Wilcoxon rank sum tests with Bonferroni correction for multiple comparisons. RESULTS: In overall assessment, in situ simulation was rated higher than telesimulation. There were significant differences noted related to perceived realism, utility in training device-related skills, and utility in training team-building skills. All P values were less than 0.0036. There were no significant differences between simulation types in perception of physical examination fidelity, instructor adequacy, or self-efficacy. CONCLUSIONS: Telesimulation using the VRR is comparable to in situ simulation in learners' perception of improvement in self-efficacy and of teaching quality for pediatric emergency medicine topics. However, participants felt less able to practice tactile and communication skills virtually. Further innovation is needed to improve learners' experience with fidelity and educational value.

The Survival Benefit of Reabstinence After Harmful Alcohol Use Following Early Liver Transplant for Severe Alcohol-Associated Hepatitis: A Multicenter ACCELERATE Study.

INTRODUCTION: Early (i.e., without mandated period of abstinence) liver transplant (LT) for alcohol-associated hepatitis is the fastest-growing indication for LT in the United States and Europe. Harmful alcohol use after LT is associated with poor outcomes, but the distinction of establishing abstinence after return to drinking (i.e., reabstinence) is understudied. This study aims to characterize the survival outcomes of achieving reabstinence after post-LT harmful alcohol use. METHODS: We analyzed early LT recipients from 12 US LT centers between 2006 and 2021. Post-LT alcohol use was characterized as harmful using criteria of "binge" (≥5 [men] or ≥4 [women] drinks in < 24 hours) or "frequent" (≥4 days in one week) by interview or phosphatidylethanol >20 ng/mL. Reabstinence was defined as ≥12 consecutive months without harmful alcohol use after harmful alcohol use. RESULTS: Among 347 LT recipients (64% male, median age 43, median Model for End-Stage Liver Disease-Sodium score 38) with median post-LT follow-up of 2.2 years (interquartile interval 1.1-3.6), 276 (80%) recipients had no evidence of harmful alcohol use, 35 (10%) recipients had reabstinence, and 36 (10%) recipients had continued harmful alcohol use without reabstinence. Five-year predicted survival, adjusted for age, sex, and Model for End-Stage Liver Disease-Sodium score, was lowest among LT recipients with continued harmful alcohol use (77%), but similar among those with no harmful use (93%) and reabstinence (94%). DISCUSSION: Achieving reabstinence after post-LT harmful alcohol use is associated with similar 5-year post-LT survival compared with those without evidence of post-LT harmful alcohol use. Our findings highlight the importance of early detection and treatment of post-LT alcohol use.

An Emergency Department Quality Improvement Project to Decrease Lumbar Puncture Rates in Febrile Infants 22 to 28 Days Old.

Introduction: Most providers have routinely performed universal lumbar puncture (LP) on well-appearing, febrile infants 22 to 28 days old. In 2021, the American Academy of Pediatrics recommended clinicians should perform an LP in this age group if inflammatory markers are abnormal. This quality improvement project aimed to decrease LP rates in febrile infants 22 to 28 days old in the emergency department (ED) within 1 year, regardless of race/ethnicity, from a baseline of 87%. Methods: We used our institution's quality improvement framework to perform multiple Plan-Do-Study-Act cycles. A multidisciplinary team reviewed the febrile infant literature, local epidemiology, and identified key drivers. We provided departmental education, updated our clinical pathway, and used clinical decision support. We analyzed baseline (January 2017-March 2022) and intervention data (April 2022-March 2024) and tracked data using statistical process control charts. Our primary outcome measure was rates of LP in the ED for this cohort. Process measures included rates of infants with procalcitonin results. ED length of stay, rates of first LP attempt after hospitalization, and missed bacterial meningitis were balancing measures. Results: The baseline LP rate of 87% decreased to 44% during the intervention period, resulting in a downward centerline shift. There were no significant differences when LP rates were analyzed by race/ethnicity. There was an upward centerline shift in the process measure of infants with procalcitonin results. There was no observed special cause variation in our balancing measures. Conclusion: Quality improvement efforts, including education, clinical pathway updates, and clinical decision support, safely reduced rates of LPs in febrile infants 22 to 28 days old.

Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 h.

AIMS/HYPOTHESIS: Disruption of pancreatic islet function and glucose homeostasis can lead to the development of sustained hyperglycaemia, beta cell glucotoxicity and subsequently type 2 diabetes. In this study, we explored the effects of in vitro hyperglycaemic conditions on human pancreatic islet gene expression across 24 h in six pancreatic cell types: alpha; beta; gamma; delta; ductal; and acinar. We hypothesised that genes associated with hyperglycaemic conditions may be relevant to the onset and progression of diabetes. METHODS: We exposed human pancreatic islets from two donors to low (2.8 mmol/l) and high (15.0 mmol/l) glucose concentrations over 24 h in vitro. To assess the transcriptome, we performed single-cell RNA-seq (scRNA-seq) at seven time points. We modelled time as both a discrete and continuous variable to determine momentary and longitudinal changes in transcription associated with islet time in culture or glucose exposure. Additionally, we integrated genomic features and genetic summary statistics to nominate candidate effector genes. For three of these genes, we functionally characterised the effect on insulin production and secretion using CRISPR interference to knock down gene expression in EndoC-ßH1 cells, followed by a glucose-stimulated insulin secretion assay. RESULTS: In the discrete time models, we identified 1344 genes associated with time and 668 genes associated with glucose exposure across all cell types and time points. In the continuous time models, we identified 1311 genes associated with time, 345 genes associated with glucose exposure and 418 genes associated with interaction effects between time and glucose across all cell types. By integrating these expression profiles with summary statistics from genetic association studies, we identified 2449 candidate effector genes for type 2 diabetes, HbA1c, random blood glucose and fasting blood glucose. Of these candidate effector genes, we showed that three (ERO1B, HNRNPA2B1 and RHOBTB3) exhibited an effect on glucose-stimulated insulin production and secretion in EndoC-ßH1 cells. CONCLUSIONS/INTERPRETATION: The findings of our study provide an in-depth characterisation of the 24 h transcriptomic response of human pancreatic islets to glucose exposure at a single-cell resolution. By integrating differentially expressed genes with genetic signals for type 2 diabetes and glucose-related traits, we provide insights into the molecular mechanisms underlying glucose homeostasis. Finally, we provide functional evidence to support the role of three candidate effector genes in insulin secretion and production. DATA AVAILABILITY: The scRNA-seq data from the 24 h glucose exposure experiment performed in this study are available in the database of Genotypes and Phenotypes (dbGap; https://www.ncbi.nlm.nih.gov/gap/ ) with accession no. phs001188.v3.p1. Study metadata and summary statistics for the differential expression, gene set enrichment and candidate effector gene prediction analyses are available in the Zenodo data repository ( https://zenodo.org/ ) under accession number 11123248. The code used in this study is publicly available at https://github.com/CollinsLabBioComp/publication-islet_glucose_timecourse .

Unveiling the dynamics of B lymphocytes in systemic lupus erythematosus patients treated with belimumab through longitudinal single-cell RNA sequencing.

OBJECTIVES: Unraveling the mechanisms underlying treatment response for targeted therapeutics in systemic lupus erythematosus (SLE) patients is challenging due to the limited understanding of diverse responses of circulating immune cells, particularly B cells. We investigated B lymphocyte dynamics during anti-BAFF treatment, utilizing longitudinal single-cell transcriptome data. METHODS: We conducted single-cell RNA sequencing on PBMCs in four Korean SLE patients before and after belimumab treatment at the following time points: 2 weeks, 1, 3, 6, and 12 months. RESULTS: Analyzing over 73 000 PBMCs, we identified 8 distinct subsets of B cells and plasmablasts and analyzed dynamic changes within these cell subsets: initial declines in naive and transitional B cells followed by an increase at three months, contrasted by an initial increase and subsequent decrease in memory B cells by the third month. Meanwhile, plasmablasts exhibited a consistent decline throughout treatment. B cell activation pathways, specifically in naive and memory B cells, were downregulated during the third and sixth months. These findings were validated at the protein level throughout the first four weeks of treatment using flow cytometry. Comparative analysis with bulk transcriptome data from 22 Japanese SLE patients showed increased NR4A1 expression six months post-belimumab treatment, indicating its role in restricting self-reactive B cells, thereby contributing to the biological responses of anti-BAFF treatment. CONCLUSION: The observed B cell dynamics provided insights into the immunological mechanisms underlying the therapeutic effects of anti-BAFF in SLE patients. Furthermore, it underscores the need for research in predicting drug responses based on immune profiling.

Poorly Cohesive Carcinoma of the Nonampullary Small Bowel: A Rare Cause of Recurrent Small Bowel Obstruction.

Poorly cohesive carcinoma (PCC) is an uncommon neoplasm characterized by tumorous cells exhibiting a lack of adhesion. PCC has been reported rarely in the small intestine other than at the ampulla of Vater. We present a 40-year-old man with recurrent abdominal pain and small bowel obstruction. Imaging revealed an abnormal appearing distal small bowel, with only nonspecific mucosal changes discovered on antegrade and retrograde enteroscopy. On subsequent diagnostic laparoscopy, an ileal mass was found and resected with histopathology showing PCC with signet ring formation. This is an aggressive cancer with a worse prognosis than other small bowel adenocarcinomas.

Assessing environmental injustice in Kansas City by linking paediatric asthma to local sources of pollution: a cross-sectional study.

OBJECTIVE: A grassroots environmental-justice organisation in Kansas City has been examining the disproportionate exposure to air pollution experienced by residents living fenceline to the largest classification railyard in the USA. Prior analyses showed limited increased risk for asthma exacerbation for patients with asthma living closer to toxic release inventory (TRI) facilities and railyards. In this study, we assessed geographical asthma and environmental disparities, to further explore community-level disparities. DESIGN: This is a cross-sectional study of population-level asthma rates, which included rates for all asthma encounters and acute asthma encounters (urgent care, emergency department, inpatient admission). Distances from census-tract centroids to nearest TRI facilities, railyards and highways were calculated. The association between asthma rates and distances was examined using Kendall's τ correlation and multivariable Poisson regression models. SETTING: We used electronic medical record data from the regional paediatric hospital, census and Environmental Protection Agency (EPA) air monitoring data. PARTICIPANTS: Patients with 2+ asthma encounters during the EPA study timeframe were identified. RESULTS: Residential distance from railyards exhibited a significant negative correlation with overall (-0.36 (CI -0.41 to -0.32)) and acute (-0.27 (CI -0.32 to -0.22)) asthma rates. Asthma rates were elevated among tracts north of the closest railyard (incident rate ratio: 1.38; CI 1.35 to 1.41) when compared with southern directionality. An increased distance from the nearest railyard of 3 km was associated with a decrease in overall asthma rates of 26%. CONCLUSION: Significant negative associations between proximity to all pollution source types and asthma rates were observed. This community-level research has served as a tool for community engagement and will be used to support proposed local policy. Environmental justice work addresses local concerns involving small, limited datasets, if the data exist at all. The academic epidemiological platform may reconsider acceptable approaches to small population research in order to better serve communities with the most need.

Long-Term Effects of Intravitreal Ranibizumab Compared With Panretinal Photocoagulation on Optical Coherence Tomography Measured Choroidal Thickness and Vascularity.

Purpose: Compare choroidal changes in ranibizumab versus panretinal photocoagulation (PRP)-treated eyes with proliferative diabetic retinopathy (PDR). Methods: DRCR Retina Network Protocol S post hoc analysis evaluated optical coherence tomography change in choroidal thickness (subfoveal and 3mm superior and inferior to the fovea) through five years; choroidal vascularity index (CVI) was assessed at baseline and one year. Mixed linear models for choroidal change included adjustments for the baseline choroidal value and age. Results: This study included 328 eyes (158 ranibizumab and 170 PRP) from 256 participants (88 ranibizumab and 95 PRP eyes at five years). Mean change in choroidal thickness from baseline to five years at the fovea was -12 µm in ranibizumab versus -8 µm in PRP (difference [95% confidence interval]: -4 [-18 to 10], P = 0.57), superior was -14 µm versus -19 µm (difference: 5 [-8 to 17], P = 0.45) and inferior was -26 µm versus -32 µm [difference: 5 (-9 to 20), P = 0.45]; change at all three points within the ranibizumab group, and the superior and inferior points for PRP, were statistically significant (P < .05). Mean change in CVI at one year was -0.02% in ranibizumab versus -0.95% in PRP (difference: 0.93 [-0.35 to 2.21], P = 0.14). Conclusions: In patients with PDR, treatment with ranibizumab versus PRP did not result in statistically significant differences in five-year choroidal thickness or one-year CVI change. Both groups had significant decreases in choroidal thickness at five years. Translational Relevance: Ranibizumab treatment for PDR did not statistically significantly affect choroidal thickness or vascularity differently than PRP.

The Efficacy of a Named Entity Recognition AI Model for Identifying Incidental Pulmonary Nodules in CT Reports.

Purpose: This study evaluates the efficacy of a commercial medical Named Entity Recognition (NER) model combined with a post-processing protocol in identifying incidental pulmonary nodules from CT reports. Methods: We analyzed 9165 anonymized CT reports and classified them into 3 categories: no nodules, nodules present, and nodules >6 mm. For each report, a generic medical NER model annotated entities and their relations, which were then filtered through inclusion/exclusion criteria selected to identify pulmonary nodules. Ground truth was established by manual review. To better understand the relationship between model performance and nodule prevalence, a subset of the data was programmatically balanced to equalize the number of reports in each class category. Results: In the unbalanced subset of the data, the model achieved a sensitivity of 97%, specificity of 99%, and accuracy of 99% in detecting pulmonary nodules mentioned in the reports. For nodules >6 mm, sensitivity was 95%, specificity was 100%, and accuracy was 100%. In the balanced subset of the data, sensitivity was 99%, specificity 96%, and accuracy 97% for nodule detection; for larger nodules, sensitivity was 94%, specificity 99%, and accuracy 98%. Conclusions: The NER model demonstrated high sensitivity and specificity in detecting pulmonary nodules reported in CT scans, including those >6 mm which are potentially clinically significant. The results were consistent across both unbalanced and balanced datasets indicating that the model performance is independent of nodule prevalence. Implementing this technology in hospital systems could automate the identification of at-risk patients, ensuring timely follow-up and potentially reducing missed or late-stage cancer diagnoses.

Beta-band power modulation in the human amygdala differentiates between go/no-go responses in an arm-reaching task.

Objective. Traditionally known for its involvement in emotional processing, the amygdala's involvement in motor control remains relatively unexplored, with sparse investigations into the neural mechanisms governing amygdaloid motor movement and inhibition. This study aimed to characterize the amygdaloid beta-band (13-30 Hz) power between 'Go' and 'No-go' trials of an arm-reaching task.Approach. Ten participants with drug-resistant epilepsy implanted with stereoelectroencephalographic (SEEG) electrodes in the amygdala were enrolled in this study. SEEG data was recorded throughout discrete phases of a direct reach Go/No-go task, during which participants reached a touchscreen monitor or withheld movement based on a colored cue. Multitaper power analysis along with Wilcoxon signed-rank and Yates-correctedZtests were used to assess significant modulations of beta power between the Response and fixation (baseline) phases in the 'Go' and 'No-go' conditions.Main results. In the 'Go' condition, nine out of the ten participants showed a significant decrease in relative beta-band power during the Response phase (p⩽ 0.0499). In the 'No-go' condition, eight out of the ten participants presented a statistically significant increase in relative beta-band power during the response phase (p⩽ 0.0494). Four out of the eight participants with electrodes in the contralateral hemisphere and seven out of the eight participants with electrodes in the ipsilateral hemisphere presented significant modulation in beta-band power in both the 'Go' and 'No-go' conditions. At the group level, no significant differences were found between the contralateral and ipsilateral sides or between genders.Significance.This study reports beta-band power modulation in the human amygdala during voluntary movement in the setting of motor execution and inhibition. This finding supplements prior research in various brain regions associating beta-band power with motor control. The distinct beta-power modulation observed between these response conditions suggests involvement of amygdaloid oscillations in differentiating between motor inhibition and execution.

Designing clinical trials to address alcohol use and alcohol-associated liver disease: an expert panel Consensus Statement.

Most patients with alcohol-associated liver disease (ALD) engage in heavy drinking defined as 4 or more drinks per day (56 g) or 8 (112 g) or more drinks per week for women and 5 or more drinks per day (70 g) or 15 (210 g) or more drinks per week for men. Although abstinence from alcohol after diagnosis of ALD improves life expectancy and reduces the risk of decompensation of liver disease, few studies have evaluated whether treatment of alcohol use disorders will reduce progression of liver disease and improve liver-related outcomes. In November 2021, the National Institute of Alcohol Abuse and Alcoholism commissioned a task force that included hepatologists, addiction medicine specialists, statisticians, clinical trialists and members of regulatory agencies to develop recommendations for the design and conduct of clinical trials to evaluate the effect of alcohol use, particularly treatment to reduce or eliminate alcohol use in patients with ALD. The task force conducted extensive reviews of relevant literature on alcohol use disorders and ALD. Findings were presented at one in-person meeting and discussed over the next 16 months to develop the final recommendations. As few clinical trials directly address this topic, the 28 recommendations approved by all members of the task force represent a consensus of expert opinions.

Employing Informatics Strategies in Alzheimer's Disease Research: A Review from Genetics, Multiomics, and Biomarkers to Clinical Outcomes.

Alzheimer's disease (AD) is a critical national concern, affecting 5.8 million people and costing more than $250 billion annually. However, there is no available cure. Thus, effective strategies are in urgent need to discover AD biomarkers for disease early detection and drug development. In this review, we study AD from a biomedical data scientist perspective to discuss the four fundamental components in AD research: genetics (G), molecular multiomics (M), multimodal imaging biomarkers (B), and clinical outcomes (O) (collectively referred to as the GMBO framework). We provide a comprehensive review of common statistical and informatics methodologies for each component within the GMBO framework, accompanied by the major findings from landmark AD studies. Our review highlights the potential of multimodal biobank data in addressing key challenges in AD, such as early diagnosis, disease heterogeneity, and therapeutic development. We identify major hurdles in AD research, including data scarcity and complexity, and advocate for enhanced collaboration, data harmonization, and advanced modeling techniques. This review aims to be an essential guide for understanding current biomedical data science strategies in AD research, emphasizing the need for integrated, multidisciplinary approaches to advance our understanding and management of AD.