Interplay Between Residential Nature Exposure and Walkability and Their Association with Cardiovascular Health.

Background: Green space has been linked with cardiovascular (CV) health. Nature access and quality may have significant impact on CV risk factors and health.

Objectives: The authors aimed to investigate the relationship between NatureScore, a composite score for natural environment exposure and quality of green spaces, with CV risk factors and atherosclerotic cardiovascular diseases (ASCVD).

Big Data, Big Insights: Leveraging Data Analytics to Unravel Cardiovascular Exposome Complexities.

The exposome encompasses the full range of environmental exposures throughout a person's lifetime and plays an important role in cardiovascular health. Interactions with the social, natural, and built components of the exposome significantly impact cardiovascular disease prevalence and mortality. Robust data analytics, including machine learning and geospatial analysis, have advanced our understanding of how these factors converge to influence cardiovascular disease risk.

Proteomic insights into early-stage Alzheimer's disease: Identifying key neuronal proteins impacted by amyloid beta oligomers in an in vitro model.

Alzheimer's disease (AD) remains a pressing global health concern, necessitating comprehensive investigations into its underlying molecular mechanisms. While the late-stage pathophysiology of this disease is well understood, it is crucial to examine the role of amyloid beta oligomers (Aβo), which form in the brain during the early stages of disease development. These toxic oligomers could affect neuronal viability and generate oxidative stress in the brain.

Evaluating HbA-to-average glucose conversion with patient-specific kinetic models for diverse populations.

The discrepancy between estimated glycemia from HbA values and actual average glucose (AG) levels has significant implications for treatment decisions and patient understanding. Factors contributing to the gap include red blood cell (RBC) lifespan and glucose uptake into the RBC. Personalized models have been proposed to enhance AG prediction accuracy by considering interpersonal variation.

Stereotactic Magnetic Resonance-Guided Daily Adaptive Radiation Therapy for Localized Prostate Cancer: Acute and Late Patient-Reported Toxicity Outcomes.

Purpose: To report acute and late bowel, urinary, and sexual dysfunction patient-reported outcome measures, among patients with localized prostate cancer who underwent stereotactic magnetic resonance-guided daily adaptive radiation therapy (SMART).

Methods And Materials: All patients who completed a baseline 12-item Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events questionnaire, before undergoing SMART with 36.25 Gy in 5 fractions, were subsequently followed up with the same graded questionnaire at set time points.

Mobile sensing-based depression severity assessment in participants with heterogeneous mental health conditions.

Mobile sensing-based depression severity assessment could complement the subjective questionnaires-based assessment currently used in practice. However, previous studies on mobile sensing for depression severity assessment were conducted on homogeneous mental health condition participants; evaluation of possible generalization across heterogeneous groups has been limited. Similarly, previous studies have not investigated the potential of free-living audio data for depression severity assessment.

The Landscape of Stereotactic Ablative Radiotherapy (SABR) for Renal Cell Cancer (RCC).

Renal cell cancer (RCC) has traditionally been considered radioresistant. Because of this, conventional radiotherapy (RT) has been predominantly relegated to the palliation of symptomatic metastatic disease. The implementation of stereotactic ablative radiotherapy (SABR) has made it possible to deliver higher ablative doses safely, shifting the renal radioresistance paradigm.

Diagnostic and therapeutic challenges for PCPs regarding heart failure with preserved ejection fraction and obesity: results of an online internet-based survey.

Background: Obesity (body mass index ≥ 30 kg/m) is a major risk factor for heart failure with preserved ejection fraction (HFpEF) and affects most patients with HFpEF. Patients living with obesity may experience delays in HFpEF diagnosis and management. We aimed to understand the clinical journey of patients with obesity and HFpEF and the role of primary care providers (PCPs) in diagnosing and managing patients with both conditions.

Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation.

Objective: Rapid advances in cuffless blood pressure (BP) monitoring over the last decade have the potential to radically transform clinical care for cardiovascular health. However, due to the large heterogeneity in device design and evaluation, it is difficult to critically and quantitatively evaluate research progress in cuffless BP monitoring. In this two-part manuscript, we seek to provide a principled way of describing and accounting for the heterogeneity in device and study design.

Forward genetic screen using a gene-breaking trap approach identifies a novel role of -associated RNA transcript () in zebrafish heart function.

LncRNA-based control affects cardiac pathophysiologies like myocardial infarction, coronary artery disease, hypertrophy, and myotonic muscular dystrophy. This study used a gene-break transposon (GBT) to screen zebrafish () for insertional mutagenesis. We identified three insertional mutants where the GBT captured a cardiac gene.

A probabilistic computation framework to estimate the dawn phenomenon in type 2 diabetes using continuous glucose monitoring.

In type 2 diabetes (T2D), the dawn phenomenon is an overnight glucose rise recognized to contribute to overall glycemia and is a potential target for therapeutic intervention. Existing CGM-based approaches do not account for sensor error, which can mask the true extent of the dawn phenomenon. To address this challenge, we developed a probabilistic framework that incorporates sensor error to assign a probability to the occurrence of dawn phenomenon.

Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all?

Digital health technologies are being utilized increasingly in the modern management of diabetes. These include tools such as continuous glucose monitoring systems, connected blood glucose monitoring devices, hybrid closed-loop systems, smart insulin pens, telehealth, and smartphone applications (apps). Although many of these technologies have a solid evidence base, from the perspective of a person living with diabetes, there remain multiple barriers preventing their optimal use, creating a digital divide.

Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes.

Digital phenotyping refers to characterizing human bio-behavior through wearables, personal devices, and digital health technologies. Digital phenotyping in populations facing a disproportionate burden of type 2 diabetes (T2D) and health disparities continues to lag compared to other populations. Here, we report our study demonstrating the application of multimodal digital phenotyping, i.

Left Atrial-Veno Arterial Extracorporeal Membrane Oxygenation as a Bridge to Surgery for Endocarditis-Related Acute Severe Aortic Regurgitation.

Mechanical circulatory support for cardiogenic shock complicated by acute severe aortic regurgitation poses a unique challenge for traditional veno arterial extracorporeal membrane oxygenation (ECMO) because of rapidly rising left ventricular pressures accentuated by the increased afterload from retrograde flow in femoral cannulation. This process necessitates rapid left ventricular unloading while also allowing for adequate native left ventricular function. Herein, we describe a case of cardiogenic and septic shock secondary to methicillin-resistant Staphylococcus aureus complicated by acute severe aortic regurgitation temporized by left atrial-veno arterial (LA-VA) ECMO via the Livanova TandemHeart system.

SpeckleCam: high-resolution computational speckle contrast tomography for deep blood flow imaging.

Laser speckle contrast imaging is widely used in clinical studies to monitor blood flow distribution. Speckle contrast tomography, similar to diffuse optical tomography, extends speckle contrast imaging to provide deep tissue blood flow information. However, the current speckle contrast tomography techniques suffer from poor spatial resolution and involve both computation and memory intensive reconstruction algorithms.

An application of ordinal regression to extract social dysfunction levels through behavioral problems.

Psychological problems are complex in nature and accurate identification of these problems is important. For the identification of psychological problems, one of the preliminary tools is the use of interviews/questionnaires. Questionnaires are preferred over interviews if the group under study is large.

Understanding the role of psychiatrists in the diagnosis and management of mild cognitive impairment and mild Alzheimer's disease dementia: a cross-sectional survey.

Background: Alzheimer's disease (AD) is a progressive neurological disorder and the most common cause of dementia. The clinical continuum of AD ranges from asymptomatic disease to mild cognitive impairment (MCI), followed by AD dementia, categorized as mild, moderate, or severe. Almost one-third of patients suspected of having MCI or mild AD dementia are referred to specialists including psychiatrists.

Calorie Compensation Patterns Observed in App-Based Food Diaries.

Self-regulation of food intake is necessary for maintaining a healthy body weight. One of the characteristics of self-regulation is calorie compensation. Calorie compensation refers to adjusting the current meal's energy content based on the energy content of the previous meal(s).