Predictors of left atrial appendage thrombus in atrial fibrillation patients undergoing cardioversion.

Background: Atrial fibrillation and atrial flutter represent the most prevalent clinically significant cardiac arrhythmias. While the CHA2DS2-VASc score is commonly used to inform anticoagulation therapy decisions for patients with these conditions, its predictive power is limited. Therefore, we sought to improve risk prediction for left atrial appendage thrombus (LAAT), a known risk factor for stroke in these patients.

Central Tendon Tenotomy for Management of Extrinsic Extensor Tightness of the Hand: Surgical Technique and Case Reports.

Case: We present a 67-year-old woman with long finger extrinsic extensor tightness and a 56-year-old man with limited index finger flexion due to extrinsic extensor tightness secondary to tendon transfers for radial nerve palsy. Both patients underwent prior surgical procedures that led to limited range of motion (ROM). Subsequently, they elected for central tendon tenotomy (CTT), which demonstrated postoperative ROM improvement and satisfactory patient outcomes.

Food Insufficiency and Coping Resources among Women: Postpandemic Racial, Ethnic, and Household Disparities.

Empirical evidence shows women are more likely to report food hardship (e.g., food insufficiency and food insecurity) compared with men.

Cannabis Use and Inhalational Anesthesia Administration in Older Adults: A Propensity-matched Retrospective Cohort Study.

Background: Cannabis use is associated with higher intravenous anesthetic administration. Similar data regarding inhalational anesthetics are limited. With rising cannabis use prevalence, understanding any potential relationship with inhalational anesthetic dosing is crucial.

Metabolite T relaxation times decrease across the adult lifespan in a large multi-site cohort.

Purpose: Relaxation correction is crucial for accurately estimating metabolite concentrations measured using magnetic resonance spectroscopy (MRS). However, the majority of MRS quantification routines assume that relaxation values remain constant across the lifespan, despite prior evidence of T changes with aging for multiple of the major metabolites. Here, we comprehensively investigate correlations between T and age in a large, multi-site cohort.

Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study.

Background: Pediatric asthma is a heterogeneous disease; however, current characterizations of its subtypes are limited. Machine learning (ML) methods are well-suited for identifying subtypes. In particular, deep neural networks can learn patient representations by leveraging longitudinal information captured in electronic health records (EHRs) while considering future outcomes.

Antihypertensive utilization patterns among pregnant persons with pre-existing hypertension in the US: A population-based study.

Background: Hypertension among persons with childbearing potential is on the rise. Maintaining proper blood pressure during pregnancy is vital to prevent maternal and neonatal complications. Yet, limited evidence on the risk-benefit of various antihypertensives presents challenges for informed decision-making during this critical period.

Effect of testosterone therapy on breast tissue composition and mammographic breast density in trans masculine individuals.

Background: The effect of gender-affirming testosterone therapy (TT) on breast cancer risk is unclear. This study investigated the association between TT and breast tissue composition and breast tissue density in trans masculine individuals (TMIs).

Methods: Of the 444 TMIs who underwent chest-contouring surgeries between 2013 and 2019, breast tissue composition was assessed in 425 TMIs by the pathologists (categories of lobular atrophy and stromal composition) and using our automated deep-learning algorithm (% epithelium, % fibrous stroma, and % fat).

Economic Burden of Medically Attended Respiratory Syncytial Virus Infections Among Privately Insured Children Under 5 Years of Age in the USA.

Background: The cost of medically attended RSV LRI (lower respiratory infection) is critical in determining the economic value of new RSV immunoprophylaxes. However, most studies have focused on intermittent RSV encounters, not the episode of care that captures the entirety of RSV illness.

Methods: We created age- and condition-specific cohorts of children under 5 years of age using MarketScan® data (2015-2019).

Medication-Induced Weight Change Across Common Antidepressant Treatments : A Target Trial Emulation Study.

Background: Antidepressants are among the most commonly prescribed medications, but evidence on comparative weight change for specific first-line treatments is limited.

Objective: To compare weight change across common first-line antidepressant treatments by emulating a target trial.

Design: Observational cohort study over 24 months.

Emergency department visit frequency and health care costs following implementation of an integrated practice unit for frequent utilizers.

Objectives: The integrated practice unit (IPU) aims to improve care for patients with complex medical and social needs through care coordination, medication reconciliation, and connection to community resources. This study examined the effects of IPU enrollment on emergency department (ED) utilization and health care costs among frequent ED utilizers with complex needs.

Methods: We extracted electronic health records (EHR) data from patients in a large health care system who had at least four distinct ED visits within any 6-month period between March 1, 2018, and May 30, 2021.

Triple challenges-small sample size in both exposure and control groups to scan rare maternal outcomes in a signal identification approach: a simulation study.

There is a dearth of safety data on maternal outcomes after perinatal medication exposure. Data-mining for unexpected adverse event occurrence in existing datasets is a potentially useful approach. One method, the Poisson tree-based scan statistic (TBSS), assumes that the expected outcome counts, based on incidence of outcomes in the control group, are estimated without error.

The spatial organization of ascending auditory pathway microstructural maturation from infancy through adolescence using a novel fiber tracking approach.

Auditory perception is established through experience-dependent stimuli exposure during sensitive developmental periods; however, little is known regarding the structural development of the central auditory pathway in humans. The present study characterized the regional developmental trajectories of the ascending auditory pathway from the brainstem to the auditory cortex from infancy through adolescence using a novel diffusion MRI-based tractography approach and along-tract analyses. We used diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) to quantify the magnitude and timing of auditory pathway microstructural maturation.

Integration of dental therapists in safety net practice increases access to oral health care in Minnesota.

Objectives: This study evaluates the impact of introducing dental therapists (DTs) into Children's Dental Services (CDS), a large non-profit organization in Minnesota. The aim is to assess the effect of DTs in improving access and reducing dental care costs in Minnesota by analyzing the trends in dental care delivery and procedures performed by CDS dentists and therapists.

Methods: Using 2009 to 2021 data from CDS, the study compares trends in patient volume, types of procedures, salary data and payments by dentists, DTs, and registered dental hygienists (RDH).

Antibiotic treatment to prevent pediatric acute otitis media infectious complications: A meta-analysis.

Background: Most US children with acute otitis media [AOM] receive prompt antibiotic treatment, though guidelines encourage watchful waiting. Previous systematic reviews of antibiotics versus watchful waiting have focused on symptom resolution and RCTs, limiting the assessment of serious, rare complications. We sought to evaluate these complications by including observational studies.

Preface to the special issue of Food and Chemical Toxicology on "New approach methodologies and machine learning in food safety and chemical risk assessment: Development of reproducible, open-source, and user-friendly tools for exposure, toxicokinetic, and toxicity assessments in the 21st century".

This Special Issue contains articles on applications of various new approach methodologies (NAMs) in the field of toxicology and risk assessment. These NAMs include in vitro high-throughput screening, quantitative structure-activity relationship (QSAR) modeling, physiologically based pharmacokinetic (PBPK) modeling, network toxicology analysis, molecular docking simulation, omics, machine learning, deep learning, and "template-and-anchor" multiscale computational modeling. These in vitro and in silico approaches complement each other and can be integrated together to support different applications of toxicology, including food safety assessment, dietary exposure assessment, chemical toxicity potency screening and ranking, chemical toxicity prediction, chemical toxicokinetic simulation, and to investigate the potential mechanisms of toxicities, as introduced further in selected articles in this Special Issue.

Diabetes and Financial Well-Being: Differential Hardship Among Vulnerable Populations.

Purpose: The purpose of the study was to examine financial well-being among a diverse population of individuals with and without diabetes.

Methods: Data from the Understanding America Survey, a nationally representative, longitudinal panel, were utilized to identify adults with self-reported diabetes diagnoses between 2014 and 2020. We used longitudinal mixed effects regression models to assess the association between diabetes and financial well-being score (FWBS) among racial and ethnic population subgroups.

Associations of stem cell markers CD44, CD24 and ALDH1A1 with mammographic breast density in women with benign breast biopsies.

Background: We examined associations of CD44, CD24 and ALDH1A1 breast stem cell markers with mammographic breast density (MBD), a well-established breast cancer (BCa) risk factor.

Methods: We included 218 cancer-free women with biopsy-confirmed benign breast disease within the Nurses' Health Study (NHS) and NHSII. The data on BCa risk factors were obtained from biennial questionnaires.

One Health.

Bertram and colleagues introduce the One Health concept, an interdisciplinary framework that aims to sustainably advance and safeguard the health of humans, animals, and the environment.

Semantic processing in older adults is associated with distributed neural activation which varies by association and abstractness of words.

The extent to which the neural systems underlying semantic processes degrade with advanced age remains unresolved, which motivated the current study of neural activation on functional magnetic resonance imaging (fMRI) during semantic judgments of associated vs. unassociated, semantic vs. rhyme, and abstract vs.