Predictors for Development of Asphyxiated Neonates Treated With Therapeutic Hypothermia.

Aim: To describe the long-term neurodevelopmental outcomes of asphyxiated neonates treated with hypothermia in association with neonatal magnetic resonance imaging (MRI) findings.

Methods: We evaluated, retrospectively, clinical and radiological single-centre data at 0, 2, and 5 years of age of 53 asphyxiated neonates born between 2005 and 2015. Neonatal cranial MRI was re-evaluated using the Weeke score ranging from 0 (normal finding) to 55 (cerebral devastation) by a single neuroradiologist blinded to patient outcomes.

Samarium as a Catalytic Electron-Transfer Mediator in Electrocatalytic Nitrogen Reduction to Ammonia.

Samarium diiodide (SmI) exhibits high selectivity for NR catalyzed by molybdenum complexes; however, it has so far been employed only as a stoichiometric reagent (0.3 equiv of NH per Sm) combined with coordinating proton sources (e.g.

Enhanced anti-inflammatory and anti-fibrotic effects of nanoparticles loaded with a combination of - extracts.

Metabolic associated steatohepatitis characterized by lipid accumulation, inflammation and fibrosis, is a growing global health issue, contributing to severe liver-related mortality. With limited effective treatments available, there is an urgent need for novel therapeutic strategies. , rich in antioxidants, offers potential for combating steatohepatitis, but its cytotoxicity presents challenges.

Coronary artery dominance influences the distribution of calcified plaques in the coronary tree.

Background: Coronary artery dominance is determined by the coronary artery emitting the posterior descending artery. In the left dominant system, a greater proportion of coronary flow enters the left coronary artery, potentially influencing calcified plaque development in the left anterior descending artery (LAD).

Methods: This retrospective single-center cohort study analyzed patients who underwent computed tomography angiography from September 2006 to December 2022 at Harbor-UCLA in Los Angeles, California.

Treatment of Cutaneous Adnexal Carcinoma With Radiotherapy: A 20-Year, Single-Institution Experience in 49 Patients.

Objectives: Cutaneous adnexal carcinomas (CACs) are rare skin cancers with no established treatment guidelines. Given the limited data, this study aims to explore the characteristics and outcomes of patients with CAC treated with radiation therapy (RT).

Methods: Patients diagnosed with CAC between 2000 and 2020 who received RT were included.

Refractory and Resistant Herpes Simplex Virus Mucocutaneous Infections in Immunocompromised Patients: Literature Review and Proposed Definitions for Use in Clinical Trials.

Herpes simplex virus (HSV) infection is one of the most prevalent viral infections worldwide. In general, host immunity is sufficient to clear viral shedding and recurrences, although it is insufficient to prevent subsequent virologic reactivations. In immunocompromised patients, prolonged and difficult-to-treat HSV infections may develop.

Select microbial metabolites in the small intestinal lumen regulates vagal activity via receptor-mediated signaling.

The vagus nerve is proposed to enable communication between the gut microbiome and the brain, but activity-based evidence is lacking. We find that mice reared germ-free exhibit decreased vagal tone relative to colonized controls, which is reversed via microbiota restoration. Perfusing antibiotics into the small intestines of conventional mice, but not germ-free mice, acutely decreases vagal activity which is restored upon re-perfusion with intestinal filtrates from conventional, but not germ-free, mice.

Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact.

Neurodevelopmental impairments associated with congenital heart disease (CHD) may arise from perturbations in brain developmental pathways, including the formation of sulcal patterns. While genetic factors contribute to sulcal features, the association of noncoding variants (ncDNVs) with sulcal patterns in people with CHD remains poorly understood. Leveraging deep learning models, we examined the predicted impact of ncDNVs on gene regulatory signals.

Large Language Models Outperform Traditional Natural Language Processing Methods in Extracting Patient-Reported Outcomes in Inflammatory Bowel Disease.

Background And Aims: Patient-reported outcomes (PROs) are vital in assessing disease activity and treatment outcomes in inflammatory bowel disease (IBD). However, manual extraction of these PROs from the free-text of clinical notes is burdensome. We aimed to improve data curation from free-text information in the electronic health record, making it more available for research and quality improvement.

Plasma Circulating Metabolites Associated With Steatotic Liver Disease and Liver Enzymes: A Multiplatform Population-Based Study.

Background And Aims: Steatotic liver disease (SLD) is the most common chronic liver disease strongly associated with metabolic dysfunction, but its pathogenesis remains incompletely understood. Exploring plasma circulating metabolites may help in elucidating underlying mechanisms and identifying new biomarkers for SLD.

Methods: We examined cross-sectionally the association between plasma metabolites and SLD as well as liver enzymes using data from 4 population-based cohort studies (Rotterdam study, Avon Longitudinal Study of Parents and Children, The Insulin Resistance Atherosclerosis Family Study, and Study of Latinos).

Association of safer smoking supply distribution with participant encounters and naloxone distribution from syringe services programs: Findings from the National Survey of Syringe Services Programs in the United States.

Background: In response to the recent and growing shift from injecting heroin to smoking fentanyl, an increasing number of syringe services programs (SSPs) in the United States are distributing safer smoking supplies. There is a lack of research on whether safer smoking supply distribution is associated with increased SSP engagement and naloxone distribution from SSPs. Therefore, we aimed to assess predictors of safer smoking supply distribution by SSPs and estimate associations between safer smoking supply distribution and scale of harm reduction services.

A Deep Learning Framework for Automated Classification and Archiving of Orthodontic Diagnostic Documents.

Background Orthodontic diagnostic workflows often rely on manual classification and archiving of large volumes of patient images, a process that is both time-consuming and prone to errors such as mislabeling and incomplete documentation. These challenges can compromise treatment accuracy and overall patient care. To address these issues, we propose an artificial intelligence (AI)-driven deep learning framework based on convolutional neural networks (CNNs) to automate the classification and archiving of orthodontic diagnostic images.

Dosimetric Planning Comparison for Left Ventricle Avoidance in Non-small Cell Lung Cancer Radiotherapy.

Introduction: Radiation may unintentionally injure myocardial tissue, potentially leading to radiation-induced cardiac disease (RICD), with the net benefit of non-small cell lung cancer (NSCLC) radiotherapy (RT) due to the proximity of the lung and heart. RTOG-0617 showed a greater reduction in overall survival (OS) comparing higher doses to standard radiation doses in NSCLC RT. VHeart has been reported as an OS predictor in the first- and fifth-year follow-ups.

Implementing Food as Medicine During COVID-19: Produce Prescriptions and Integrative Group Medical Visits in Federally Qualified Health Centers.

Background: Food as Medicine is a rapidly developing area of health care in the United States, aimed at concurrently addressing nutrition-sensitive chronic conditions and food and nutrition insecurity. Recipe4Health (R4H) is a Food as Medicine program with an integrative health equity focus. It provides prescriptions for locally grown produce ('Food Farmacy') with or without integrative group medical visits, alongside training for clinic staff.

Impact of Proprotein Convertase Subtilisin/Kexin Type 9 Inhibitors on Lipoprotein(a): A Meta-Analysis and Meta-Regression of Randomized Controlled Trials.

Background: Lipoprotein(a) [Lp(a)] has been independently associated with increased cardiovascular risk.

Objectives: The authors examined the effect of monoclonal antibody proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9is) on plasma Lp(a) levels across multiple trials.

Methods: Studies were retrieved comparing the effect of PCSK9i vs placebo on Lp(a) levels.

Safety and feasibility of En-bloc holmium laser enucleation for very large prostates (> 200 cc) with trainee involvement.

Objectives: To evaluate the safety and feasibility of "en-bloc" Holmium Laser Enucleation of the Prostate (HoLEP) with trainee involvement in patients with prostates larger than 200 cc.

Patients And Methods: A retrospective analysis was conducted on patients undergoing HoLEP using the "en-bloc" technique for prostate sizes > 200 cc between July-2017 and December-2023 at an academic teaching hospital. Perioperative data was collected, including patient demographics, clinical parameters, operative details and functional outcomes.

Outcomes following intradetrusor onabotulinumtoxinA in a national cohort of nursing home residents.

Objectives: To determine predictors of treatment success and complications following intradetrusor onabotulinumtoxinA injections among a large cohort of nursing home (NH) residents, representing one of the most frail and vulnerable populations in the United States.

Materials And Methods: This is a retrospective cohort study of long-stay NH residents who underwent onabotulinumtoxinA injections between 2014 and 2016. Residents were identified using the Minimum Data Set (MDS) linked to Medicare claims.

Focal therapy of prostate cancer: Use of artificial intelligence to define tumour volume and predict treatment outcomes.

Objectives: The aim of this study is to evaluate new software (Unfold AI) in the estimation of prostate tumour volume (TV) and prediction of focal therapy outcomes.

Subjects/patients And Methods: Subjects were 204 men with prostate cancer (PCa) of grade groups 2-4 (GG ≥ 2), who were enrolled in a trial of partial gland cryoablation (PGA) at UCLA from 2017 to 2022. Magnetic resonance imaging (MRI)-guided biopsy (MRGB) was performed at diagnosis and at 6 and 18 months following PGA.

COVID-19 Stress is Associated with Increased Smoking among People with HIV in Western Washington: A Cross-Sectional Survey.

Background: People living with HIV (PWH) frequently have co-morbid substance use disorders that may have been impacted by the COVID-19 pandemic. This study examined associations between COVID-related stress and increased substance use among PWH in Washington State.

Methods: Between August 2020 and March 2021, we conducted an online survey of 397 PWH in Western Washington.

Glaucoma Detection and Feature Identification via GPT-4V Fundus Image Analysis.

Purpose: The aim is to assess GPT-4V's (OpenAI) diagnostic accuracy and its capability to identify glaucoma-related features compared to expert evaluations.

Design: Evaluation of multimodal large language models for reviewing fundus images in glaucoma.

Subjects: A total of 300 fundus images from 3 public datasets (ACRIMA, ORIGA, and RIM-One v3) that included 139 glaucomatous and 161 nonglaucomatous cases were analyzed.

A Systematic Literature Review to Determine Gaps in Diagnosing Suspected Infection in Solid Organ Transplant Recipients.

Background: Improved diagnostic testing (DT) of infections may optimize outcomes for solid organ transplant recipients (SOTR), but a comprehensive analysis is lacking.

Methods: We conducted a systematic literature review across multiple databases, including EMBASE and MEDLINE(R), of studies published between 1 January 2012-11 June 2022, to examine the evidence behind DT in SOTR. Eligibility criteria included the use of conventional diagnostic methods (culture, biomarkers, directed-polymerase chain reaction [PCR]) or advanced molecular diagnostics (broad-range PCR, metagenomics) to diagnose infections in hospitalized SOTR.