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RISS 인기검색어
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- 저자 : Eo Wankyu (검색결과 3 건)
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Severe Asthma May Be Associated with the Adverse COVID-19 Outcome
( Jae Seok Jeong ),( Yong Chul Lee ),( Jin Young Choi ),( Seong Kug Eo ),( Yeo-gha Yoon ),( Wankyu Kim ),( Jong Seung Kim ),( Hae Jin Park ),( Kyung Hwa Park ),( So Ri Kim ) 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-
Asthma, a major respiratory illness affecting over 300 million people worldwide, is not regarded as a major co-morbid condition in COVID-19 pandemic, rather, allergic endotype has been suggested to be protective for viral contraction. However, given the heterogeneity of asthma, there is uncertainty on the impact of respiratory SARS-CoV-2 infection on each asthma subtype. Fungal sensitization has been reported as one of risk factors for developing severe asthma and, previously, we demonstrated the corticosteroid-resistant endotype of fungal allergic asthma experimentally induced by Aspergillus fumigatus (Af ) extracts, wherein NLRP3 inflammasome assembly/activation in airway epithelium plays a key role. Herein, to investigate the effects of respiratory SARS-CoV-2 infection in severe asthma, we designed a murine model that mimics the development of COVID-19 in severe fungal allergic lung inflammation using SARS-CoV-2-susceptible hACE2 transgenic mice. We also performed transcriptome analysis of lung tissues and compared the expression profiles with those from COVID-19 public datasets. Firstly, to assess clinically the impact of co-morbid severe asthma on COVID-19 outcome, we analyzed the nationwide data of patients who underwent SARS-CoV-2 testing. Notably, mortality rate of COVID-19 was increased in severe asthmatics who were dependent on corticosteroids. In Af-induced experimental system, we observed that SARS-CoV-2- induced lung inflammation coincides with the deterioration of allergic airway inflammation through analyses of infiltrated airway inflammatory cells and histopathology. This phenomenon was further verified by immunoassays of inflammatory mediators well-known to mediate asthmatic (IL-5, IL-13, IL-33, and CCL11) or COVID-19-related inflammation (TNF-α, IL-6, IFN-γ, and KC). Interestingly, NLRP3 inflammasome activation was evident in the lungs including airway epithelium. Pathways related to NLRP3 inflammasome were up-regulated in gene expression profiles of Af-exposed mice and were consistent with public datasets of COVID-19 patients. Taken together, respiratory SARS-CoV-2 infection in patients with severe asthma may predispose asthma to aggravate and maybe associated with adverse COVID-19-related outcome.
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Lee, Jee Young,Oh, Hye Kyung,Ryu, Han Sung,Yoon, Sung Soo,Eo, Wankyu,Yoon, Seong Woo SAGE Publications 2018 Integrative cancer therapies Vol.17 No.2
<P><B>Background:</B> Sleep disturbance is the second most bothersome symptom in patients with cancer, and it can significantly impair their quality of life. The aim of this study was to investigate the efficacy and safety of the traditional herbal medicine <I>Gamiguibi</I>-tang (GGBT) in patients with cancer-related sleep disturbance. <B>Methods:</B> We conducted a prospective, randomized, wait-list-controlled, open-label pilot clinical trial on cancer-related sleep disturbance. Patients with cancer experiencing poor sleep quality with a Pittsburgh Sleep Quality Index of at least 6 were randomly assigned to the GGBT and wait-list groups to receive GGBT and conventional care, respectively, for 2 weeks. The primary endpoint was the Insomnia Severity Index (ISI) score. Fatigue, depression, and cognitive impairment were assessed as the secondary endpoints by using the Brief Fatigue Inventory (BFI), Beck Depression Inventory (BDI), and Montreal Cognitive Assessment (MoCA). <B>Results:</B> Thirty participants who met the eligibility criteria were enrolled. Sleep disturbance assessed using the ISI improved significantly more in the GGBT group than in the wait-list group (−5.5 ± 4.4 vs 0.1 ± 1.1, <I>P</I> < .001). Fatigue level determined using the BFI also improved significantly more in the GGBT group than in the wait-list group (−0.8 ± 0.8 vs 0.0 ± 0.3, <I>P</I> = .002). The BDI and MoCA scores showed no significant changes. Adverse events were reported in two patients in the GGBT group and consisted of mild dyspepsia and mild edema. <B>Conclusion:</B> GGBT may be a potential treatment option for cancer-related sleep disturbance. Further research is needed to investigate the efficacy and safety of GGBT.</P>
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An Soomin,Kim Youn-Jung,Han Ga Young,Eo Wankyu 한국기초간호학회 2022 Journal of korean biological nursing science Vol.24 No.1
Purpose: To determine the prognostic role of muscle area and muscle radiation attenuation in the erector spinae (ES) and multifidus (MF) muscles in patients undergoing gastrectomy. Methods: Patients with stage I-III gastric cancer undergoing gastrectomy were retrospectively enrolled in this study. Clinicopathologic characteristics were collected and analyzed. Both paraspinal muscle index of ES/MF muscles (PMIEM) and paraspinal muscle radiation attenuation in the same muscles (PMRAEM) were analyzed at the 3rd lumbar level using axial computed tomographic images. Cox regression analysis was applied to estimate overall survival (OS) and disease-free survival (DFS). Results: There was only a weak correlation between PMIEM and PMRAEM (r=0.28). Multivariate Cox regression revealed that PMRAEM, but not PMIEM, was an important determinant of survival. PMRAEM along with age, tumor-node-metastasis (TNM) stage, perineural invasion, and serum albumin level were significant determinants of both OS and DFS that constituted Model 1. Harrell’s concordance index and integrated area under receiver operating characteristic curve were greater for Model 1 than for Model 2 (consisting of the same covariates as Model 1 except PMRAEM) or Model 3 (consisting of only TNM stage). Conclusion: PMRAEM, but not PMIEM, was an important determinant of survival. Because there was only a weak correlation between PMIEM and PMRAEM in this study, it was presumed that they were mutually exclusive. Model 1 consisting of age, TNM stage, perineural invasion, serum albumin level, and PMRAEM was greater than nested models (i.e., Model 2 or Model 3) in predicting survival outcomes.
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