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( Mi Jung Shin ),( Byung Soo Kim ),( Young Ok Kim ),( Ho Cheol Song ),( Yong Soo Kim ),( Suk Young Kim ),( Euy Jin Choi ),( Yoon Sik Chang ),( Byung Kee Bang ) 대한신장학회 2008 Kidney Research and Clinical Practice Vol.27 No.1
Purpose: Cardiovascular disease is one of the leading causes of mortality and morbidity in hemodialysis patients. Arterial stiffness is known to be associated with vascular calcification in HD patients. Post-dialysis hypotension is a risk factor for cardiovascular mortality. We evaluated the relation between arterial stiffness and post-dialysis blood pressure in maintained HD patients. Methods: 72 HD patients were enrolled in this study. They had been under maintenance HD for more than 3 months. We checked the biochemical data, including the troponin T, CRP and OPG (osteoprotegerin) levels before their dialysis session and the baPWV (brachio-ankle pulse wave velocity) after the session. We defined post-dialysis BP decrease as a drop of BP of more than 5% of the average MAP for 2 weeks (6 sessions). Results: There were 34 and 38 patients with and without post-dialysis BP decrease, respectively. The BP decrease group had higher CRP, troponin T and OPG levels (p<0.05, 0.01 and 0.01, respectively). The PWV was higher in the BP decrease group (p<0.001). The CRP and troponin T levels were positively correlated with the PWV (r=0.26, p<0.05; r=0.31, p<0.01, respectively). The OPG level was positively correlated with the PWV (r=0.44, p<0.001). Age, pre-dialysis pulse pressure and drops in the patients MAP were correlated with the PWV (r=0.33, p<0.05; r=0.31, p<0.05; r=0.30, p<0.05, respectively). On multivariate analysis, PWV was the independent factor related to the drops in the MAP of the patients (ß=0.311, p=0.021). Conclusion: Arterial stiffness is associated with post-dialysis blood pressure decrease.
Text Network Analysis of Research Topics on Virtual Simulation in Nursing
Mi Ok Song,Aeri Jang,Jeong Eun Moon 한국간호과학회 2021 한국간호과학회 학술대회 Vol.2021 No.10
Aim(s): The purpose of this study is to examine the relationship between keywords on virtual simulation in nursing studies and to develop schematic diagrams of the relationship between these keywords from a macro perspective. It is to identify the trend of the literature on virtual simulation in nursing. Method(s): This was a text-mining study that collected, processes, analyzed text data. For this study, we searched several databases such as PubMed, CINAHL, EMBASE, Web of Science, SCOPUS from 1st~15th, July, 2021. The Inclusion criteria included the following: (a) peer-reviewed, (b) journal article, (c) written in English, (d) including a text ‘virtual’ or ‘virtual reality’, ‘simulation’, ‘education’, ‘learning’, ‘training’ in its each title, abstract and keywords. (e) with nursing students and nurses, (f) to 31, May, 2021. Exclusion criteria included following: (a) not journal articles (dissertations, conference proceedings, Book section et al. b) language besides English, c) not involved virtual simulation, d) participants that did not include nurses and nursing students. Thus, 570 studies were selected in the library databases. Among these data, duplicate (222), no abstract (8), unrelated studies (72) and not articles (63) were excluded. As a result, a total of 213 papers were extracted. The keywords from 213 articles were preprocessed and keyword analysis and topic modeling were performed using NetMiner 4.3 software. For topic modeling, Latent Dirichlet Allocation was applied. Result(s): As for virtual simulation in nursing, keywords with the most frequent appearance and the highest networking degree in centrality were ‘nurse’, ’skill’, ‘care’, ‘knowledge’, ‘performance’, ‘communication’, ‘disaster’, ‘experience’, ‘health’. A total of 2347 keywords were categorized into 10 topics: ‘dementia care competency’, ‘pain assessment’, ‘airway placement management’, ‘operating procedure’, ‘presence & satisfaction’, ‘communication & attitude improvement’, ‘platform world’, ‘disaster response’, ‘game usability’, ‘system for confidence’ Conclusion(s): The identified trends in this study will help nursing educators and researchers to grasp the trends and insight for virtual simulation in nursing and to guide future research directions on virtual simulation in nursing.