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1.
Chinese Medical Journal ; (24): 259-268, 2019.
Article in English | WPRIM | ID: wpr-774855

ABSTRACT

BACKGROUND@#This study used the National Emergency Department Information System (NEDIS) data to analyze the flow of emergency and critical emergency patients and to identify the patterns of emergency medical service usage in Korea.@*METHODS@#The relevance index (RI) and commitment index (CI) were calculated from the 2016 NEDIS data. In this study, the number of clusters was determined using NbClust, and cluster analysis was used to analyze the usage patterns of emergency and critical emergency patients.@*RESULTS@#The RI and CI were calculated using 8,389,766 cases of 214 districts. The results of the RI and CI suggested that there were 3 types of clusters among the emergency patients. In Cluster 1, 54 districts (25.2%) had low RI and high CI, and it was of outflow type. Cluster 2 was categorized as the influx-type in 58 districts (27.1%) irrespective of RI and low CI. Cluster 3 was categorized as the self-sufficient type found in 102 districts (47.7%), with high RI and high CI. The cluster analysis of the critical emergency patients was divided into 2 types. Cluster 1 was categorized as outflow type with high CI found in 129 districts (60.3%), while Cluster 2 was categorized as inflow type with low CI found in 85 districts (39.7%).@*CONCLUSIONS@#This study elucidates the regional status of usage patterns of emergency and critical emergency patients in Korea. This study might serve as a basis for the establishment and selection of emergency medical service areas and vulnerable emergency medical service areas.


Subject(s)
Humans , Cluster Analysis , Emergency Medical Services , Emergency Service, Hospital , Models, Theoretical , Republic of Korea
2.
Journal of Rheumatic Diseases ; : 20-30, 2019.
Article in English | WPRIM | ID: wpr-719464

ABSTRACT

OBJECTIVE: Evaluate effectiveness/safety of tacrolimus in patients in Korea with active rheumatoid arthritis (RA) and unsuccessful response to disease-modifying anti-rheumatic drugs (DMARDs). METHODS: Open-label, single-arm, non-comparative, 24-week, Phase-IV study in patients with active RA who had taken DMARDs for >6 months. Following a washout period, tacrolimus was initiated (baseline-12 weeks; dose 2 mg/day and 1.5 mg/day in patients aged ≤65 and >65 years, respectively). After 12 weeks, dose could be adjusted (remaining between 1~3 mg); treatment continued to 24 weeks. Primary endpoint was American College of Rheumatology 20% improvement (ACR20) (baseline-Week 24). Secondary endpoints included ACR50/ACR70 response, disease-activity score in 28 joints (DAS28) erythrocyte sedimentation rate (ESR), number of tender/swollen joints, and bone mineral density (BMD) loss. Adverse events (AEs) were recorded. RESULTS: Overall, 121 patients were analysed. Mean±standard deviation tacrolimus dose baseline-Week 24 was 1.81±0.47 mg/day. After 24 weeks, 64.5%, 39.7%, and 19.0% of patients were ACR20, ACR50, and ACR70 responders, respectively. DAS28-ESR score decreased from 5.5±0.8 (baseline) to 3.7±1.5 (Week 24; p < 0.0001); number of tender/swollen joints decreased. Between screening and Week 24, change in BMD-T score in lumbar and femur regions was −0.06±0.38 (p=0.1550) and −0.04±0.28 (p=0.0936), respectively, with no significant change in International Society for Clinical Densitometry classification. Fifty-six (46.3%) patients experienced 93 AEs; 75.3% were mild. No unexpected safety signals identified. CONCLUSION: Tacrolimus therapy was associated with a high proportion of ACR responders, and improved DAS28-ESR score and physical joint function during the study. Tacrolimus may be a suitable therapy for DMARD-resistant patients with RA.


Subject(s)
Humans , Antirheumatic Agents , Arthritis, Rheumatoid , Blood Sedimentation , Bone Density , Classification , Densitometry , Femur , Joints , Korea , Mass Screening , Osteoporosis , Rheumatology , Tacrolimus
3.
Experimental & Molecular Medicine ; : e434-2018.
Article in English | WPRIM | ID: wpr-739491

ABSTRACT

An interaction between ribosomal protein S3 (rpS3) and nuclear factor kappa B or macrophage migration inhibitory factor in non-small-cell lung cancer is responsible for radioresistance. However, the role of rpS3 in glioblastoma (GBM) has not been investigated to date. Here we found that in irradiated GBM cells, rpS3 translocated into the nucleus and was subsequently ubiquitinated by ring finger protein 138 (RNF138). Ubiquitin-dependent degradation of rpS3 consequently led to radioresistance in GBM cells. To elucidate the apoptotic role of rpS3, we analyzed the interactome of rpS3 in ΔRNF138 GBM cells. Nuclear rpS3 interacted with DNA damage inducible transcript 3 (DDIT3), leading to DDIT3-induced apoptosis in irradiated ΔRNF138 GBM cells. These results were confirmed using in vivo orthotopic xenograft models and GBM patient tissues. This study aims to clarify the role of RNF138 in GBM cells and demonstrate that rpS3 may be a promising substrate of RNF138 for the induction of GBM radioresistance, indicating RNF138 as a potential target for GBM therapy.


Subject(s)
Humans , Apoptosis , DNA Damage , Fingers , Glioblastoma , Heterografts , Lung Neoplasms , Macrophages , NF-kappa B , Ribosomal Proteins , Ubiquitin , Ubiquitination
4.
Experimental & Molecular Medicine ; : e273-2016.
Article in English | WPRIM | ID: wpr-210168

ABSTRACT

TFAP2C (transcription factor-activating enhancer-binding protein 2C) expression has been positively correlated with poor prognosis in patients with certain types of cancer, but the mechanisms underlying TFAP2C-mediated tumorigenesis in non-small-cell lung cancer (NSCLC) are still unknown. We previously performed a microarray analysis to identify TFAP2C regulation genes, and TGFBR1 (transforming growth factor-β receptor type 1) was found to be upregulated by TFAP2C. We observed that TFAP2C or TGFBR1 overexpression led to oncogenic properties, such as cell viability, proliferation and cell cycle progression. TGFBR1 upregulation induced by TFAP2C also promoted cell motility and migration, leading to malignant development. We also found that PAK1 (p21 protein (Cdc42/Rac)-activated kinase 1) signaling was involved in TFAP2C/TGFBR1-induced tumorigenesis. These results were confirmed by an in vivo xenograft model and patient tissue samples. This study shows that TFAP2C promoted tumor progression by upregulation of TGFBR1 and consequent activation of PAK1 signaling.


Subject(s)
Humans , Carcinogenesis , Cell Cycle , Cell Movement , Cell Survival , Heterografts , Lung Neoplasms , Lung , Microarray Analysis , Phosphotransferases , Prognosis , Up-Regulation
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