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Background: As iatrogenic hyperoxia has been related to adverse outcomes in critically ill patients, guidelines advise to titrate oxygen to physiological levels. In the prehospital setting where partial arterial oxygen (PaO) values are often not readily available, titration of oxygen is based on peripheral oxygen saturations (SpO2). In this study we aimed to investigate the efficacy of SpO guided oxygen titration in the prevention of hyperoxia.

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The relationships among food neophobia, mediterranean diet adherence, and eating disorder risk among university students: a cross-sectional study.

J Health Popul Nutr

January 2025

Department of Nutrition and Dietetics, Faculty of Health Sciences, Mersin University, 33000, Mersin, Turkey.

Background: Food neophobia, characterized by the fear of unfamiliar foods, can be influenced by environmental, cultural, and genetic factors, leading to decreased consumption of novel or diverse foods. Understanding the impact of Mediterranean diet adherence and eating disorders on dietary behaviors is crucial, particularly for young adults who are developing lifelong eating patterns.

Methods: The aim of this study was to investigate the relationships among food neophobia, Mediterranean diet adherence, and eating disorders in university students aged 18-24 years.

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Objectives: Transcatheter edge-to-edge repair (TEER) is an alternative for patients with severe degenerative mitral regurgitation (MR). The objective of this study was to compare the outcomes of surgery and TEER in older patients with degenerative MR patients using real life data.

Methods: Consecutives older patients (≥ 65 years-old), with severe symptomatic, degenerative MR requiring surgery or TEER between 2013 and 2023 were included.

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MultiChem: predicting chemical properties using multi-view graph attention network.

BioData Min

January 2025

Department of Computer Science, Hanyang University, Seoul, Republic of Korea.

Background: Understanding the molecular properties of chemical compounds is essential for identifying potential candidates or ensuring safety in drug discovery. However, exploring the vast chemical space is time-consuming and costly, necessitating the development of time-efficient and cost-effective computational methods. Recent advances in deep learning approaches have offered deeper insights into molecular structures.

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Purpose: Mesenteric artery embolism (MAE) is a relatively uncommon abdominal surgical emergency, but it can lead to catastrophic clinical outcomes if the diagnosis is delayed. This study aims to build a prediction model of clinical-radiomics nomogram for early diagnosis of MAE based on non-contrast computed tomography (CT) and biomarkers.

Method: In this retrospective study, a total of 364 patients confirmed as MAE (n = 131) or non-MAE (n = 233) who were randomly divided into a training cohort (70%) and a validation cohort (30%).

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