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Study Hypothesis: Use of opioids for treatment of headache in the emergency department (ED) is associated with an increased 1-year risk of opioid-related adverse events.

Objective: To assess the safety and efficacy of opioid prescribing for ED patients with headache.

Methods: We performed a multicenter observational cohort study using linked administrative data.

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Self-regulation in eHealth: definition, contributing factors, and experiences from blended rehabilitation care.

Disabil Rehabil

January 2025

Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands.

Purpose: eHealth might contribute to changes in roles and responsibilities of patients and healthcare professionals (HCPs), including the patient's potential to enhance self-regulation. The aim of this study was to identify important aspects and experiences of self-regulation and factors that may support self-regulation in blended rehabilitation care.

Materials And Methods: Semi-structured interviews were conducted among HCPs and patients regarding perceptions and experiences with self-regulation in relation to a telerehabilitation portal.

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Background: Chronic kidney disease (CKD) patients often experience dysregulated inflammation, particularly when compounded by comorbidities such as type 2 diabetes (T2D).

Objective: The aim of this study was to determine whether T2D influences the profile of memory T lymphocytes, regulatory T cells (Tregs), and the gene expression of transcription factors such as , , , and in CKD patients.

Methods: Twenty-two CKD patients undergoing hemodialysis were selected for the study.

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Introduction: Prompt treatment with IV thrombolytics (IVT) in acute ischemic stroke (AIS) patients is critical for improved recovery and survival. Recently, hospital systems have switched to the IVT tenecteplase (TNK) instead of the FDA-approved alteplase (tPA) for treatment. Multiple studies and meta-analyses evaluating the efficacy and safety of TNK demonstrate similar or superior outcomes when compared to tPA.

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Over the past decade, neuropathological diagnosis has undergone significant changes, integrating morphological features with molecular biomarkers. The molecular era has successfully refined neuropathological diagnostic accuracy; however, a substantial number of CNS tumor diagnoses remain challenging, particularly in children. DNA methylation classification has emerged as a powerful machine learning approach for clinical decision-making in CNS tumors.

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