Annals of medicine
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Understanding changes in vaccine hesitancy, overall and by sociodemographic characteristics, may highlight sub-populations for whom more intensive efforts are needed to increase vaccine uptake and confidence. ⋯ This study highlights concerning trends in vaccine hesitancy and uptake of the COVID-19 and other recommended vaccines. We found that some high-risk groups (e.g. smokers) and population subgroups have become more vaccine hesitant, suggesting the need for improved and intensified strategies to increase vaccine confidence and uptake. Future research may focus on qualitative inquiry to understand specific concerns and determinants contributing to increased hesitancy among these groups to help inform interventions and communication campaigns to support vaccination.
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Utilizing artificial intelligence (AI) in chatbots, especially for chronic diseases, has become increasingly prevalent. These AI-powered chatbots serve as crucial tools for enhancing patient communication, addressing the rising prevalence of chronic conditions, and meeting the growing demand for supportive healthcare applications. However, there is a notable gap in comprehensive reviews evaluating the impact of AI-powered chatbot interventions in healthcare within academic literature. This study aimed to assess user satisfaction, intervention efficacy, and the specific characteristics and AI architectures of chatbot systems designed for chronic diseases. ⋯ The reviewed studies suggest promising acceptance of AI-powered chatbots for self-managing chronic conditions. However, limited evidence on their efficacy due to insufficient technical documentation calls for future studies to provide detailed descriptions and prioritize patient safety. These chatbots employ natural language processing and multimodal interaction. Subsequent research should focus on evidence-based evaluations, facilitating comparisons across diverse chronic health conditions.
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Abdominal aortic aneurysm (AAA) is highly lethal upon onset of acute aortic diseases (AAD) or rupture. Dyslipidaemia and hyperuricaemia are important risk factors for the development of AAA and AAD as well as aortic disease-related death. The aim of this study was to explore whether uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) can be used as an independent predictor of the presence of AAA or AAD. ⋯ UHR can be widely used in clinical practice as an auxiliary tool for screening AAA. The optimal cut-off point for UHR to AAA was determined for the first time in Chinese subjects.
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Background: Complicated urinary tract infections are a significant cause of morbidity, hospitalization, and elevated hospital costs associated with kidney transplantations. The treatment of complicated urinary tract infections is very challenging, due to varying severities of infection and lower cure rates. The available drug options for treating these infections are limited, each with different mechanisms of action, efficacy, and safety profiles, making drug selection more difficult for healthcare professionals. ⋯ The safety profiles of the drugs indicated that almost all drugs caused gastrointestinal symptoms, with imipenem-relebactam and colistin-imipenem combinations having the most serious adverse events. Cefiderocol had a low magnitude of adverse events, with most side effects being mild gastrointestinal symptoms. Conclusion: The study concludes that appropriate drug selection and treatment adherence are crucial for preventing complicated urinary tract infections and improving health outcomes.
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Cell death modulates the biological behaviors of tumors. However, the comprehensive role of the multiple forms of cell death in lower-grade glioma (LGG) is unknown. ⋯ The new cell death-based subtype system indicates several features of LGG biology and reveals novel insights into the use of precision medicine for treating LGG. The CDPM score could be used to predict the immunotherapy response and prognosis of LGG patients; moreover, it could indicate a novel direction for improving LGG management.