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Front Pediatr
January 2025
The Ritchie Centre, Hudson Institute of Medical Research, Clayton VIC, Australia.
Introduction: As airway liquid is cleared into lung interstitial tissue after birth, the chest wall must expand to accommodate this liquid and the incoming air. We examined the effect of applying external positive and negative pressures to the chest wall on lung aeration in near-term rabbit kittens at risk of developing respiratory distress.
Methods: Rabbit kittens (30 days; term ∼31 days) were randomised into and groups.
Insights Imaging
January 2025
Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Objectives: The aim of this study was to determine the status of tertiary lymphoid structures (TLSs) using radiomic features in patients with invasive pulmonary adenocarcinoma (IA).
Methods: In this retrospective study, patients with IA from November 2015 to March 2024 were recruited from two independent centers (center 1, training and internal test data set; center 2, external test data set). TLS was divided into two groups according to hematoxylin-eosin staining.
Thorax
January 2025
Genome Medicine Laboratory, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
Objective: Reduced functional capacity and muscle weakness are two major contributors to functional impairment in chronic obstructive pulmonary disease (COPD). The underlying causes of functional impairment are poorly understood and, therefore, we sought to investigate the contribution of genetic factors.
Methods: We conducted a cross-sectional analysis of sociodemographic, clinical and genetic information of people with COPD.
J Trauma Nurs
January 2025
Department of Surgery, Morristown Medical Center, Morristown, New Jersey.
Background: Motorcycle and equestrian accidents can share similar trauma mechanisms and can result in serious injuries.
Objective: This study aims to analyze variations in injuries and safety standards through types, severity, and outcomes of traumatic injuries in both motorcycle and equestrian riders.
Methods: Using the 2020 ACS TQIP database, we split patients into two groups based on their primary injury.
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
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