Annals of medicine
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Falls are the most common injuries in older adults, and fall prevention is one of the primary measures to achieve healthy aging. Self-management refers to the measures taken by individuals to avoid various adverse factors and health damage to protect and promote their health. This study aimed to explore the factors and measures of self-managed fall prevention among community-dwelling older adults. ⋯ Individual, social support, community advocacy, and road condition influenced self-managed fall prevention. Active exercise, adjusting home environment and clothing, and multi-channel acquisition of self-managed fall prevention knowledge can reduce the incidence of falls among older adults. Identifying these experiences will help older adults improve their awareness of preventing falls, take responsibility for themselves, and reduce the incidence of falls.
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The risk of gastric cancer can be predicted by gastroscopic manifestation recognition and the Kyoto Gastritis Score. This study aims to validate the applicability of AI approaches for recognizing gastroscopic manifestations according to the definition of Kyoto Gastritis Score, with the goal of improving early gastric cancer detection and reducing gastric cancer mortality. ⋯ Our study demonstrates the potential of deep learning approaches on gastric manifestation recognition over junior, even senior endoscopists. Thus, the deep learning approach holds potential as an auxiliary tool, although prospective validation is still needed to assess its clinical applicability.
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Traditional medical education often lacks contextual experience, hindering students' ability to effectively apply theoretical knowledge in real-world scenarios. The integration of the metaverse into medical education holds great enormous promise for addressing educational disparities, particularly in lower-middle-income countries (LMICs) accompanied by rapid technological advancements. This commentary paper aimed to address the potential of the metaverse in enhancing basic sciences education within the constraints faced by universities in LMICs. We also addressed learning design challenges by proposing fundamental design elements and a suggested conceptual framework for developing metaverse-based teaching methods.The goal is to assist educators and medical practitioners in comprehensivley understanding key factors in immersive teaching and learning. ⋯ The metaverse offers a promising solution for enhancing medical education by providing immersive, context-rich learning experiences. This paper proposes a conceptual framework and fundamental design elements to aid faculty educators and medical practitioners in effectively incorporating metaverse technology into their teaching methods, thus improving educational outcomes in LMICs.
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Observational Study
The risk factors for long term cardiovascular symptoms in patients after coronavirus disease 2019 infection.
Presently, numerous studies have demonstrated that long-term cardiovascular changes after Coronavirus Disease 2019(COVID-19) infection should be considered. The study was aimed to explore the risk factors for post COVID-19 long-term cardiovascular symptoms. ⋯ Anxiety and depression, C-reactive protein, D-dimer, and LDL-C levels are associated with the development of post COVID-19 long-term cardiovascular symptoms.
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To probe the expression, clinical significance, roles, and molecular mechanisms of circRNA_000166 in breast cancer (BC). ⋯ CircRNA_000166 enhances BC progression through miR-326/ELK1 and miR-330-5p/ELK1 pathways and shows potential as a biomarker for BC diagnosis and treatment.