Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome.

Background And Aims: The importance of risk stratification in patients with chest pain extends beyond diagnosis and immediate treatment. This study sought to evaluate the prognostic value of electrocardiogram feature-based machine learning models to risk-stratify all-cause mortality in those with chest pain.

Methods: This was a prospective observational cohort study of consecutive, non-traumatic patients with chest pain.

Predictors of Decisional Capacity in Alzheimer's Disease Biomarker Test Candidates.

Background: Deciding to learn one's Alzheimer's disease (AD) biomarker status is a high-stakes endeavor that requires comprehending and deliberating about complex and nuanced information. Assessing capacity to consent to AD biomarker testing and disclosure is further complicated when candidates have cognitive impairment and present with family care partners.

Objective: The objective of this analysis was to identify predictors of decisional capacity for an amyloid Positron Emission Tomography (PET) disclosure study among persons with mild cognitive impairment (MCI) and their family care partners.

Effects of a 6-month aerobic exercise intervention on brain morphology in women with breast cancer receiving aromatase inhibitor therapy: a sub-study of the EPICC trial.

Objective: Physical exercise may increase brain volume and cortical thickness in late adulthood. However, few studies have examined the possibility for exercise to influence brain morphology in women treated for breast cancer. We conducted a nested sub-study within a randomized clinical trial to examine whether 6 months of moderate-intensity aerobic exercise in postmenopausal women with early-stage breast cancer influences brain morphology.

The Utility and Limitations of Remotely Delivered Feedback Messages Regarding Physical Activity in a 12-Month Weight Loss Intervention: Insights From the SMARTER Trial Focus Groups.

Background: The increasing prevalence of obesity necessitates innovative interventions to address this grave public health concern. Standard behavioral therapy has been the mainstay for promoting weight loss, but its access and uptake are limited. The SMARTER randomized controlled trial aimed to explore the effects of self-monitoring with real-time, remotely delivered tailored feedback to recorded physical activity (PA) on weight loss.