Application of machine learning to identify risk factors for outpatient opioid prescriptions following spine surgery.

Introduction: Spine surgery is a common source of narcotic prescriptions and carries potential for long-term opioid dependence. As prescription opioids play a role in nearly 25 % of all opioid overdose deaths in the United States, mitigating risk for prolonged postoperative opioid utilization is crucial for spine surgeons.

Purpose: The aim of this study was to employ six ML algorithms to identify clinical variables predictive of increased opioid utilization across spinal surgeries, including anterior cervical discectomy and fusion (ACDF), posterior thoracolumbar fusion (PTLF), and lumbar laminectomy.

Rhythm Control Better Prevents Stroke than Rate Control in Patients with Concomitant Hypertrophic Cardiomyopathy and Atrial Fibrillation: A Nationwide Population Based Cohort Study with Long-Term Follow-Up.

Background: Atrial fibrillation (AF) increases the risks of stroke and mortality. It remains unclear whether rhythm control reduces the risk of stroke in patients with AF concomitant with hypertrophic cardiomyopathy (HCM).

Methods: We identified AF patients with HCM who were ≥ 18 years old in the Taiwan National Health Insurance Database.

Exploring the influence of hospital context on acute care physical therapy fall prevention practice: A qualitative study.

Background: Falls are a significant concern for hospitals and patients. The risk of falls is particularly heightened around the period of hospitalization. Physical therapy (PT) is commonly consulted for hospitalized patients at-risk for falls, yet it is unknown how the hospital context influences fall prevention practice among physical therapists.

Predictors of hepatic flares after nucleos(t)ide analogue cessation - Results of a global cohort study (RETRACT-B study).

Background & Aims: Flares after nucleos(t)ide analogue (NA) cessation are common and potentially harmful. Predictors of flares are required for risk stratification and to guide off-treatment follow-up.

Method: This multicenter cohort study included virally suppressed patients with chronic hepatitis B (CHB) who were hepatitis B e antigen negative at NA cessation.

Reversal gene expression assessment for drug repurposing, a case study of glioblastoma.

Background: Glioblastoma (GBM) is a rare brain cancer with an exceptionally high mortality rate, which illustrates the pressing demand for more effective therapeutic options. Despite considerable research efforts on GBM, its underlying biological mechanisms remain unclear. Furthermore, none of the United States Food and Drug Administration (FDA) approved drugs used for GBM deliver satisfactory survival improvement.

Artificial Intelligence in Dentistry: A Descriptive Review.

Artificial intelligence (AI) is an area of computer science that focuses on designing machines or systems that can perform operations that would typically need human intelligence. AI is a rapidly developing technology that has grabbed the interest of researchers from all across the globe in the healthcare industry. Advancements in machine learning and data analysis have revolutionized oral health diagnosis, treatment, and management, making it a transformative force in healthcare, particularly in dentistry.

Automated Assessment of the Pulmonary Artery-to-Ascending Aorta Ratio in Fetal Cardiac Ultrasound Screening Using Artificial Intelligence.

The three-vessel view (3VV) is a standardized transverse scanning plane used in fetal cardiac ultrasound screening to measure the absolute and relative diameters of the pulmonary artery (PA), ascending aorta (Ao), and superior vena cava, as required. The PA/Ao ratio is used to support the diagnosis of congenital heart disease (CHD). However, vascular diameters are measured manually by examiners, which causes intra- and interobserver variability in clinical practice.

Assessing Educational Impact of Worldwide Webinar on Management of Myopia Progression in Children.

Objective: To assess the educational impact of a worldwide webinar approach to myopia progression management in children <8 years and 8-12 years old.

Design: Cross-sectional study.

Methods: A self-administered survey was conducted for attendees of a 3 h worldwide webinar held in two parts on consecutive days on the management of myopia progression in children.

Antimicrobial Usage and Antimicrobial Resistance in Commensal from Broiler Farms: A Farm-Level Analysis in West Java, Indonesia.

Antimicrobial resistance (AMR) is a global public health threat, with antimicrobial use (AMU) in livestock recognized as a significant driver. This study examines farm-level AMU and AMR as well as the relationship between AMU and AMR on broiler farms in Indonesia. Data were collected from 19 farms in West Java between 2019 and 2021 to examine AMU in depth across four to five successive production cycles.

Refinement of a Published Gene-Physical Activity Interaction Impacting HDL-Cholesterol: Role of Sex and Lipoprotein Subfractions.

Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).

GREGoR: Accelerating Genomics for Rare Diseases.

Rare diseases are collectively common, affecting approximately one in twenty individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in DNA sequencing, development of new computational and experimental approaches to prioritize genes and genetic variants, and increased global exchange of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis.

The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.

Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.

Outpatient dermatology appointment wait times for United States military veterans, 2014-2021.

Trends in outpatient dermatology appointment wait times for United States (US) veterans are poorly characterized. Given concerns surrounding prolonged wait times at Veterans Health Administration (VHA) medical facilities, the federal government introduced the Maintaining Internal Systems and Strengthening Outside Networks (MISSION) Act in 2018, allowing veterans to receive VHA-reimbursed community care if VHA specialty care appointments cannot be scheduled within 28 days. Considering this expanded access to community care, we characterized among US veterans the (1) overall demand for dermatology appointments, (2) trends in average wait times, and (3) facility/geographic variation in wait times.

Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group.

Accurately predicting individual antidepressant treatment response could expedite the lengthy trial-and-error process of finding an effective treatment for major depressive disorder (MDD). We tested and compared machine learning-based methods that predict individual-level pharmacotherapeutic treatment response using cortical morphometry from multisite longitudinal cohorts. We conducted an international analysis of pooled data from six sites of the ENIGMA-MDD consortium (n = 262 MDD patients; age = 36.

A framework for monitoring RSV prevention product effectiveness in the United States.

During 2023, the Centers for Disease Control and Prevention (CDC) recommended the first respiratory syncytial virus (RSV) immunizations intended for widespread use in the United States to prevent severe RSV illness in infants and older adults. CDC, in collaboration with federal, public health, and academic partners, is conducting evaluations of real-world effectiveness of recommended RSV immunization products in the United States. Similar frameworks for evaluation are being applied to RSV vaccines and nirsevimab, a long-acting preventative monoclonal antibody, to estimate product effectiveness.

Utilization of transitional care management services and 30-day readmission.

Transitional care management (TCM) visits have been shown to reduce 30-day readmissions, but it is unclear whether the decrease arises from the TCM visit itself or from clinic-level changes to meet the requirements of the TCM visits. We conducted a cross-sectional analysis using data from Northwell Health to examine the association between the type of post-discharge follow-up visits (TCM visits versus non-TCM visits based on billing) and 30-day readmission. Furthermore, we assessed whether being seen by a provider who frequently utilizes TCM visits or the TCM visit itself was associated with 30-day readmission.

BRCA testing in metastatic castration-resistant prostate cancer: successes and troubles in a real world setting. An Italian Multicentric study.

Objective: Prostate cancer (PCa) is the most common cause of cancer-related deaths in men worldwide. BRCA1/2 genes are reported altered in approximately 1% and 8% of PCa cases, respectively. To date, formalin-fixed paraffin-embedded (FFPE) tissues have a consolidate use in the clinical practice, but with a significant drawback related to DNA/RNA degradation during the pre-analytical process.

Continuous ambulatory peritoneal dialysis technique failure in adult patients treated at a tertiary hospital in central South Africa: a retrospective analytical study.

Background: Continuous ambulatory peritoneal dialysis (CAPD) is one of the kidney replacement therapy (KRT) modalities used in patients with kidney failure. It is the preferred modality in most resource-limited settings as it is more accessible and cost-effective. CAPD technique failure remains a challenge and is associated with an increased risk of morbidity and mortality.

The impact of common and rare genetic variants on bradyarrhythmia development.

To broaden our understanding of bradyarrhythmias and conduction disease, we performed common variant genome-wide association analyses in up to 1.3 million individuals and rare variant burden testing in 460,000 individuals for sinus node dysfunction (SND), distal conduction disease (DCD) and pacemaker (PM) implantation. We identified 13, 31 and 21 common variant loci for SND, DCD and PM, respectively.

Modifies Chronic Airway Infection Risk in Cystic Fibrosis.

Rationale: Chronic () airway infection is common and a key contributor to diminished lung function and early mortality in persons with cystic fibrosis (PwCF). Risk factors for chronic among PwCF include cystic fibrosis transmembrane conductance regulator genotype, genetic modifiers, and environmental factors. Intensive antibiotic therapy and highly effective modulators do not eradicate in most adolescents and adults with cystic fibrosis.

Validation of the World Health Organization's Disability Assessment Schedule 2.0 for children with mental disorders in specialized health-care services.

Introduction: Mental disorders are highly prevalent among children, yet access to timely and effective treatment remains limited. Untreated or poorly managed mental disorders in children are associated with significant functional deterioration and long-term consequences. The validation of reliable assessment tools is crucial for identifying functional impairments and guiding interventions in this population.

Use of Statins for Primary Prevention Among Individuals with CKD in the United States: A Cross-Sectional, Time-Trend Analysis.

Rationale & Objective: Chronic kidney disease (CKD) populations face an elevated risk of cardiovascular disease (CVD), yet many remain undertreated with statins for primary prevention of CVD despite meeting eligibility criteria. We examined trends in statin use for primary prevention among individuals with CKD before and after the release of the 2013 Kidney Disease: Improving Global Outcomes (KDIGO) guideline recommending statin use for lipid management in selected adults with CKD.

Study Design: Cross-sectional time-trend analysis.