Journal of Korean medical science
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J. Korean Med. Sci. · Jul 2023
ReviewTrend of Women's Health Research in Korea, 2012-2020: Topic and Text Network Analysis.
With the epidemiological transition, sociodemographic changes and differential lifetime experiences of women, women's health research improves knowledge of diverse health issues and the impact of policies. To explore the initiatives of women's health research in Korea, the present study examined the trends and topics of research on women's health funded by the government. ⋯ Women's health research projects have been growing in number and funding, with limited diversity in topics. Diversifying the topics and focusing on issues beyond the breast and pregnancy would be needed to reflect the complete life course of women. Institutionalization of diverse communication channels with various interest groups for women's health would be needed to better understand women's health needs from a public health perspective.
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J. Korean Med. Sci. · Jul 2023
Comparative Analysis on the Policy Approaches in the National Dementia Plans of G7 Countries and Korea and Their Implementation.
The World Health Organization (WHO) proposed a global action plan for dementia and aimed to have 75% of their member states formulating National Dementia Plans (NDPs) by 2025. The Organization for Economic Cooperation and Development (OECD) proposed the ten key objectives of dementia policy in 2015. Among previous studies on NDPs, few studies have investigated measures for proper implementation of NDPs. This study aimed to compare the implementation basis and specific action plans of NDPs between the G7 countries and South Korea. ⋯ Effective measures for feasible implementation are needed. The WHO should promote not only the establishment of NDPs, but also their proper implementation.
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J. Korean Med. Sci. · Jul 2023
Multicenter StudyA Comparison of the Effects of Dexamethasone and Methylprednisolone, Used on Level-3 Intensive Care COVID-19 Patients, on Mortality: A Multi-Center Retrospective Study.
Coronavirus disease 2019 (COVID-19) is often a mild disease, usually manifesting with respiratory complaints, and is sometimes mortal due to multiple organ failure. Hyperinflammation is a known COVID-19 component and is associated with organ dysfunction, disease severity and mortality. Controlling hyperinflammatory response is crucial in determining treatment direction. An important agent in providing this control is corticosteroids. This study aimed to determine whether dexamethasone and methylprednisolone, doses, administration time and duration in COVID-19 treatment are associated with improved treatment outcomes. ⋯ Corticosteroids are shown to be beneficial in critical COVID-19, but the role of early corticosteroids in mild COVID-19 patients remains unclear. The anti-inflammatory effects of corticosteroids may have a positive effect by reducing mortality in severe COVID-19 patients. Although dexamethasone was first used for this purpose, methylprednisolone was found to be as effective at standard doses. Methylprednisolone administered at standard doses was associated with greater PaO2/FiO2 ratios than dexamethasone, especially in the severe group requiring MV. High dose pulse steroid doses are closely associated with mortality and standard methylprednisolone dose is recommended.
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J. Korean Med. Sci. · Jul 2023
Developing an Attention Assessment Tool for Individuals With Autism Spectrum Disorder Using Timbre, Rhythm, and Pitch.
Music is regarded as a beneficial tool for assessing the clinical symptoms and communication skills in individuals with autism spectrum disorder (ASD) or autism. The present study developed a music-based attention test (MAT) for individuals with autism using music parameters and the algorithm of the comprehensive attention test (CAT). ⋯ The MAT could be a relevant tool for gauging attention in individuals with ASD. Furthermore, attention determined using the MAT may be correlated with social quotient in autistic individuals. Future studies should consider that using music in the field of attention could improve the social quotient of individuals with autism.
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J. Korean Med. Sci. · Jul 2023
Machine Learning-Based Proteomics Reveals Ferroptosis in COPD Patient-Derived Airway Epithelial Cells Upon Smoking Exposure.
Proteomics and genomics studies have contributed to understanding the pathogenesis of chronic obstructive pulmonary disease (COPD), but previous studies have limitations. Here, using a machine learning (ML) algorithm, we attempted to identify pathways in cultured bronchial epithelial cells of COPD patients that were significantly affected when the cells were exposed to a cigarette smoke extract (CSE). ⋯ Our ML-based feature selection from proteomic data reveals ferroptosis to be the most distinctive feature of cultured COPD epithelial cells compared to non-COPD epithelial cells upon exposure to smoke extract.