Objective: The objective of this study is to generate an algorithm for making predictions about individual treatment responses to a lifestyle intervention for weight loss to maximize treatment effectiveness and public health impact.
Methods: Using data from Action for Health in Diabetes (Look AHEAD), a national, multisite clinical trial that ran from 2001 to 2012, and machine-learning techniques, we generated predicted individual treatment effects for each participant. We tested for heterogeneity in treatment response and computed the degree to which treatment effects could be improved by targeting individuals most likely to benefit.
Understanding the capacity of forests to adapt to climate change is of pivotal importance for conservation science, yet this is still widely unknown. This knowledge gap is particularly acute in high-biodiversity tropical forests. Here, we examined how tropical forests of the Americas have shifted community trait composition in recent decades as a response to changes in climate.
View Article and Find Full Text PDFRecessive Dystrophic Epidermolysis Bullosa (RDEB) is a genodermatosis characterized by severe cutaneous and mucosal fragility, and frequently complicated by multifactorial chronic anemia that responds poorly to conventional therapies. This cross-sectional study investigates the factors contributing to anemia in RDEB by analyzing a representative cohort, that was stratified by disease severity, anemia and iron status, to examine their hematological parameters, cytokine profile and erythropoietin (EPO)-erythroferrone (ERFE)-hepcidin axis. Anemia was present in 50% of the cohort.
View Article and Find Full Text PDFCirc Arrhythm Electrophysiol
February 2025
Background: To address the unmet need for a smaller pacemaker for babies, a specially modified implantable pulse generator was developed containing a Medtronic Micra subassembly in a polymer header connecting to a bipolar epicardial lead. The aim of this study was to report midterm follow-up data and outcomes of patients who underwent implantation of this device.
Methods: Deidentified data were collected from 12 of 15 sites in the United States implanting the pediatric implantable pulse generator between March 2022 and February 2024.
Background/objectives: Infertility affects couples at reproductive age, with fertilization (IVF) being the most effective treatment. Success rates of IVF are influenced by several factors, including a healthy female reproductive system microbiome, which can improve implantation rates and pregnancy outcomes. This study evaluated the impact of PS11610 on IVF outcomes.
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