Academic and Community Hospitals differ in stroke subtype classification and cardiac monitoring: the DiVERT multi-center cohort study.

Background: Cardiac monitoring strategies to detect occult atrial fibrillation (AF) post-stroke differ among healthcare institutions. This may be related to discrepancies in stroke subtype classification/adjudication, and/or consultation of cardiology specialists at Community Hospitals (CoH) and Academic Centers (AcC). Identifying the degree of heterogeneity may encourage development of guideline-directed monitoring protocols, result in higher AF detection rates and treatments, and fewer strokes.

Superior Ophthalmic Vein Thrombosis Associated With Acute Suppurative Parotitis and Masticator Space Cellulitis: A Case Report and Review of the Literature.

Superior ophthalmic vein thrombosis (SOVT) is a rare phenomenon caused by both septic and aseptic etiologies. Individuals suffering from SOVT commonly present with ophthalmoplegia, proptosis, chemosis, and impaired vision. The superior ophthalmic vein is a valveless vein that drains into the cavernous sinus; for this reason, SOVT can present with dire complications such as cavernous sinus thrombosis in addition to debilitating permanent ophthalmoplegia and permanent vision loss if left untreated.

Evaluating the Impact of Buprenorphine on Depressive Symptoms Among Veterans with Chronic Pain.

Buprenorphine has demonstrated benefit for acute and chronic pain and various psychiatric disorders. However, many studies evaluating buprenorphine's effect on psychiatric conditions are not specific to the chronic pain population. This retrospective study was conducted to assess the impact of buprenorphine on depressive symptoms in patients with chronic pain at a Veterans Affairs healthcare facility.

Effectiveness of Damoctocog Alfa Pegol to Treat Patients With Hemophilia A Enrolled in the ATHNdataset.

Objectives: Health information for 17 109 people living with hemophilia A (PLwHA) is contained within the ATHNdataset. We aimed to evaluate the real-world effectiveness of damoctocog alfa pegol (BAY 94-9027, Jivi®) for hemophilia A.

Methods: The ATHNdataset was queried for PLwHA receiving damoctocog alfa pegol between January 1, 2010 and April 30, 2022.

Part I: Health issues of those experiencing trafficking: Background and context for dermatologists.

Human trafficking is a global human rights violation affecting millions of individuals across diverse demographic characteristics with severe health consequences. Despite the frequent interactions that exploited individuals have with health care systems, many remain unrecognized, positioning health care providers, including dermatologists, as critical first responders. In the first part of this three-paper series, we discuss the current landscape of human trafficking from a health care perspective, emphasizing the role of dermatologists in recognizing and responding to this issue.

Part II: Skin signs of human trafficking and intervention by dermatologists.

Human trafficking is a pervasive global health and human rights issue. The skin often bears the early and most visible signs of abuse and exploitation. Despite the visible nature of their trauma, affected patients frequently go unrecognized within health care settings due to a lack of standardized guidelines for identifying the dermatologic manifestations of trafficking.

Developing a Life Story Intervention for Older Adults With Dementia or at Risk of Delirium Who Were Hospitalized: Multistage, Stakeholder-Engaged Co-Design Study.

Background: Older adults with chronic or acute cognitive impairment, such as dementia or delirium, who are hospitalized face unique barriers to person-centered care and a higher risk for negative outcomes stemming from hospitalizations. There is a need for co-designed interventions adapted for these patients to the hospital setting to improve care and outcomes. Patient life storytelling interventions have demonstrated promise in enhancing person-centered care by improving patient-care team relationships and providing information to enable care tailored to individual needs and values.

Application of Artificial Intelligence and Machine Learning Was Not Able to Reliably Predict Poor Outcomes in People With Hemophilia.

Background Artificial intelligence (AI) and machine learning (ML) are currently used in the clinical field to improve the outcome predictions on disease diagnosis and prognosis. However, to date, few AI/ML applications have been reported in rare diseases, such as hemophilia. In this study, taking advantage of the ATHNdataset, an extensive repository of hemostasis and thrombosis data, we aimed to demonstrate the application of AI/ML approaches to build predictive models to identify persons with hemophilia (PwH) who are at risk of poor outcome and to inform providers in clinical decision-making towards helping patients prevent long-term complications.

Opportunities for Microphysiological Systems in Toxicity Testing of New Drug Modalities.

New drug modalities offer life-saving benefits for patients through access to previously undruggable targets. Yet these modalities pose a challenge for the pharmaceutical industry, as side effects are complex, unpredictable, and often uniquely human. With animal studies having limited predictive value due to translatability challenges, the pharmaceutical industry seeks out new approach methodologies.

A Multivariate Statistical Approach to Wrinkling Detection in Composites.

Nondestructive inspection using ultrasound in materials such as carbon-fiber reinforced polymers (CFRPs) is challenging as the ultrasonic wave will scatter from each ply in the structure of the component. This may be improved using image processing algorithms such as the total focusing method (TFM); however, the high level of backscattering within the sample is very likely to obscure a signal arising from a flaw. Detection of wrinkling, or out-of-plane fiber waviness, is especially difficult to automate as no additional scattering is produced (as might be the case with delaminations).

Annotation and Comparative Genomics of Prokaryotic Transposable Elements.

The data generated in nearly 30 years of bacterial genome sequencing has revealed the abundance of transposable elements (TE) and their importance in genome and transcript remodeling through the mediation of DNA insertions and deletions, structural rearrangements, and regulation of gene expression. Furthermore, what we have learned from studying transposition mechanisms and their regulation in bacterial TE is fundamental to our current understanding of TE in other organisms because much of what has been observed in bacteria is conserved in all domains of life. However, unlike eukaryotic TE, prokaryotic TE sequester and transmit important classes of genes that impact host fitness, such as resistance to antibiotics and heavy metals and virulence factors affecting animals and plants, among other acquired traits.

The Medical Writing Center Model in an Academic Teaching Hospital.

Editing services within academic health centers are uncommon, and few studies have reported on their impact. In this article, we describe our medical writing center's editing service for faculty and trainees at a pediatric teaching hospital and associated outcomes of scholarly products (e.g.

Classifying Individuals With Rheumatic Conditions as Financially Insecure Using Electronic Health Record Data and Natural Language Processing: Algorithm Derivation and Validation.

Objective: We aimed to examine the feasibility of applying natural language processing (NLP) to unstructured electronic health record (EHR) documents to detect the presence of financial insecurity among patients with rheumatologic disease enrolled in an integrated care management program (iCMP).

Methods: We incorporated supervised, rule-based NLP and statistical methods to identify financial insecurity among patients with rheumatic conditions enrolled in an iCMP (n = 20,395) in a multihospital EHR system. We constructed a lexicon for financial insecurity using data from available knowledge sources and then reviewed EHR notes from 538 randomly selected individuals (training cohort n = 366, validation cohort n = 172).

Risk of Intracranial Hemorrhage in Persons with Hemophilia A in the United States: Real-World Retrospective Cohort Study Using the ATHNdataset.

Introduction: Intracranial hemorrhage (ICH), a serious complication in persons with hemophilia A (PWHA), causes high rates of mortality and morbidity. Identified ICH risk factors from patient data spanning 1998-2008 require reassessment in light of changes in the current treatment landscape.

Aim And Methods: PWHA identified in the ATHNdataset were evaluated retrospectively to assess incidence of ICH and determine the association between ICH risk and key characteristics using time-to-event analyses (Cox proportional-hazards models, survival curves, and sensitivity analyses).

Reproductive and Social Policies, Sociopolitical Stress, and Implications for Maternal and Child Health Equity.

Purpose Of Review: Although many environmental exposures (e.g., air pollution) are geographically patterned and persist as a result of historic economic policies (e.

A community-engaged approach to translate a Vaccine Hesitancy Scale into Haitian Creole.

Objective: Accurately translated health materials are needed to achieve equity in vaccine uptake among U.S. individuals with non-English language preferences.

Machine Learning Predicts Conversion from Normal Aging to Mild Cognitive Impairment Using Medical History, APOE Genotype, and Neuropsychological Assessment.

Background: Identifying individuals at risk for mild cognitive impairment (MCI) is of urgent clinical need.

Objective: This study aimed to determine whether machine learning approaches could harness longitudinal neuropsychology measures, medical data, and APOEɛ4 genotype to identify individuals at risk of MCI 1 to 2 years prior to diagnosis.

Methods: Data from 676 individuals who participated in the 'APOE in the Predisposition to, Protection from and Prevention of Alzheimer's Disease' longitudinal study (N = 66 who converted to MCI) were utilized in supervised machine learning algorithms to predict conversion to MCI.

Nonlinear elasticity and short-range mechanical coupling govern the rate and symmetry of mouth opening in .

has a tubular bilayered epithelial body column with a dome-shaped head on one end and a foot on the other. lacks a permanent mouth: its head epithelium is sealed. Upon neuronal activation, a mouth opens at the apex of the head which can exceed the body column diameter in seconds, allowing to ingest prey larger than itself.

Racial and Ethnic Composition of Populations Served by Freestanding Children's Hospitals and Disparities in Outcomes of Pediatric Lupus.

Objective: Health disparities may be driven by hospital-level factors. We assessed whether racial and ethnic composition of populations hospitals serve explain or modify disparities in hospital outcomes of children with systemic lupus erythematosus (SLE).

Methods: In this retrospective cohort study of patients 5 to 26 years old with SLE at 47 children's hospitals in the Pediatric Health Information System (2006-2021), race and ethnicity were assessed at the patient level and hospital level (proportion of total admissions composed of Black or Hispanic patients, respectively).