1.Prediction Model for Massive Transfusion in Placenta Previa during Cesarean Section
Jieun KANG ; Hye Sim KIM ; Eun Bi LEE ; Young UH ; Kyoung Hee HAN ; Eun Young PARK ; Hyang Ah LEE ; Dae Ryong KANG ; In Bai CHUNG ; Seong Jin CHOI
Yonsei Medical Journal 2020;61(2):154-160
0.05). The area under the receiver operating characteristics curve (AUC) was 0.922 [95% confidence interval (CI) 0.89–0.95]. In external validation, the discrimination was good, with an AUC value of 0.833 (95% CI 0.70–0.92) for this model. Nomogram calibration plots indicated good agreement between the predicted and observed outcomes, exhibiting close approximation between the predicted and observed probability.CONCLUSION: We constructed a scoring model for predicting massive transfusion during cesarean section in women with placenta previa. This model may help in determining the need to prepare an appropriate amount of blood products and the optimal timing of blood transfusion.]]>
Area Under Curve
;
Blood Transfusion
;
Calibration
;
Cesarean Section
;
Cohort Studies
;
Discrimination (Psychology)
;
Early Intervention (Education)
;
Erythrocytes
;
Female
;
Humans
;
Logistic Models
;
Maternal Age
;
Nomograms
;
Placenta Previa
;
Placenta
;
Placentation
;
Postpartum Hemorrhage
;
Pregnancy
;
ROC Curve
;
Ultrasonography
2.Inhibitory effect of carvacrol on lipopolysaccharide-induced memory impairment in rats
Bombi LEE ; Mijung YEOM ; Insop SHIM ; Hyejung LEE ; Dae hyun HAHM
The Korean Journal of Physiology and Pharmacology 2020;24(1):27-37
Neuroinflammation is an important process underlying a wide variety of neurodegenerative diseases. Carvacrol (CAR) is a phenolic monoterpene commonly used as a food additive due to its antibacterial properties, but it has also been shown to exhibit strong antioxidative, anti-inflammatory, and neuroprotective effects. Here, we sought to investigate the effects of CAR on inflammation in the hippocampus and prefrontal cortex, as well as the molecular mechanisms underlying these effects. In our study, lipopolysaccharide was injected into the lateral ventricle of rats to induce memory impairment and neuroinflammation. Daily administration of CAR (25, 50, and 100 mg/kg) for 21 days improved recognition, discrimination, and memory impairments relative to untreated controls. CAR administration significantly attenuated expression of several inflammatory factors in the brain, including interleukin-1β, tumor necrosis factor-α, and cyclooxygenase-2. In addition, CAR significantly increased expression of brain-derived neurotrophic factor (BDNF) mRNA, and decreased expression of Toll-like receptor 4 (TLR4) mRNA. Taken together, these results show that CAR can improve memory impairment caused by neuroinflammation. This cognitive enhancement is due to the anti-inflammatory effects of CAR medicated by its regulation of BDNF and TLR4. Thus, CAR has significant potential as an inhibitor of memory degeneration in neurodegenerative diseases.
Animals
;
Brain
;
Brain-Derived Neurotrophic Factor
;
Cyclooxygenase 2
;
Cytokines
;
Discrimination (Psychology)
;
Food Additives
;
Hippocampus
;
Inflammation
;
Lateral Ventricles
;
Lipopolysaccharides
;
Memory
;
Necrosis
;
Neurodegenerative Diseases
;
Neuroprotective Agents
;
Phenol
;
Prefrontal Cortex
;
Rats
;
RNA, Messenger
;
Toll-Like Receptor 4
3.Clinical significance of cell-free DNA as a prognostic biomarker in patients with diffuse large B-cell lymphoma
Mahsa ESKANDARI ; Saba MANOOCHEHRABADI ; Hossein PASHAIEFAR ; Mohammad Ali ZAIMY ; Mohammad AHMADVAND
Blood Research 2019;54(2):114-119
BACKGROUND: Cell-free DNA (cfDNA) has the potential to serve as a non-invasive prognostic biomarker in some types of neoplasia. The investigation of plasma concentration of cfDNA may reveal its use as a valuable biomarker for risk stratification of diffuse large B-cell lymphoma (DLBCL). The present prognostic value of plasma cfDNA has not been widely confirmed in DLBCL subjects. Here, we evaluated cfDNA plasma concentration and assessed its potential prognostic value as an early DLBCL diagnostic tool. METHODS: cfDNA concentrations in plasma samples from 40 patients with DLBCL during diagnosis and of 38 normal controls were determined with quantitative polymerase chain reaction (qPCR) for the multi-locus L1PA2 gene. RESULTS: Statistically significant elevation in plasma cfDNA concentrations was observed in patients with DLBCL as compared to that in normal controls (P<0.05). A cutoff point of 2.071 ng/mL provided 82.5% sensitivity and 62.8% specificity and allowed successful discrimination of patients with DLBCL from normal controls (area under the curve=0.777; P=0.00003). Furthermore, patients with DLBCL showing higher concentrations of cfDNA had shorter overall survival (median, 9 mo; P=0.022) than those with lower cfDNA levels. In addition, elevated cfDNA concentration was significantly associated with age, B-symptoms, International Prognostic Index (IPI) score, and different stages of disease (all P<0.05). CONCLUSION: Quantification of cfDNA with qPCR at the time of diagnosis may allow identification of patients with high cfDNA concentration, which correlates with aggressive clinical outcomes and adverse prognosis.
B-Lymphocytes
;
Diagnosis
;
Discrimination (Psychology)
;
DNA
;
Humans
;
Lymphoma, B-Cell
;
Plasma
;
Polymerase Chain Reaction
;
Prognosis
;
Sensitivity and Specificity
4.Validation of the 8th AJCC Cancer Staging System for Pancreas Neuroendocrine Tumors Using Korean Nationwide Surgery Database
Yunghun YOU ; Jin Young JANG ; Song Cheol KIM ; Yoo Seok YOON ; Joon Seong PARK ; Chol Kyoon CHO ; Sang Jae PARK ; Jae Do YANG ; Woo Jung LEE ; Tae Ho HONG ; Keun Soo AHN ; Chi Young JEONG ; Hyeon Kook LEE ; Seung Eun LEE ; Young Hoon ROH ; Hee Joon KIM ; Hongbeom KIM ; In Woong HAN
Cancer Research and Treatment 2019;51(4):1639-1652
PURPOSE: The 8th edition of the American Joint Committee on Cancer (AJCC) staging system for pancreatic neuroendocrine tumor (PNET) included several significant changes. We aim to evaluate this staging system compared to the 7th edition AJCC staging system and European Neuroendocrine Tumors Society (ENETS) system. MATERIALS AND METHODS: We used Korean nationwide surgery database (2000-2014). Of 972 patients who had undergone surgery for PNET, excluding patients diagnosed with ENETS/World Health Organization 2010 grade 3 (G3), only 472 patients with accurate stage were included. RESULTS: Poor discrimination in overall survival rate (OSR) was noted between AJCC 8th stage III and IV (p=0.180). The disease-free survival (DFS) curves of 8th AJCC classification were well separated between all stages. Compared with stage I, the hazard ratio of II, III, and IV was 3.808, 13.928, and 30.618, respectively (p=0.007, p < 0.001, and p < 0.001). The curves of OSR and DFS of certain prognostic group in AJCC 7th and ENETS overlapped. In ENETS staging system, no significant difference in DFS between stage IIB versus IIIA (p=0.909) and IIIA versus IIIB (p=0.291). In multivariable analysis, lymphovascular invasion (p=0.002), perineural invasion (p=0.003), and grade (p < 0.001) were identified as independent prognostic factors for DFS. CONCLUSION: This is the first large-scale validation of the AJCC 8th edition staging system for PNET. The revised 8th system provides better discrimination compared to that of the 7th edition and ENETS TNM system. This supports the clinical use of the system.
Classification
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Discrimination (Psychology)
;
Disease-Free Survival
;
Humans
;
Joints
;
Neoplasm Staging
;
Neuroectodermal Tumors, Primitive
;
Neuroendocrine Tumors
;
Pancreas
;
Survival Rate
5.Novel Prognostic Nomograms Based on Inflammation-Related Markers for Patients with Hepatocellular Carcinoma Underwent Hepatectomy
Yifei WANG ; Kaiyu SUN ; Jingxian SHEN ; Bin LI ; Ming KUANG ; Qinghua CAO ; Sui PENG
Cancer Research and Treatment 2019;51(4):1464-1478
PURPOSE: Hepatocellular carcinoma (HCC) is an aggressive disease with high recurrence rate. However, current staging systems were lack of predictive capacity for HCC recurrence. We aimed to develop prognostic nomograms based on inflammation-related markers for HCC patients underwent hepatectomy. MATERIALS AND METHODS: We recruited 889 surgically treated patients from two medical centers. Independent prognostic factors were identified by cox regression analyses. Nomograms for recurrence-free survival (RFS) and overall survival (OS) were established, and validated internally and externally. The performance, discrimination, and calibration of nomograms were assessed, and compared with existed staging systems. RESULTS: Neutrophil to lymphocyte ratio (NLR) and gamma-glutamyl transpeptidase to platelet ratio (GPR) were the two inflammation-related factor that independently correlated with survival. NLR, GPR, international normalized ratio (INR), microvascular invasion, satellite lesions, tumour number, tumour diameter, and macrovascular invasion were used to construct nomogram for RFS while GPR, total bilirubin, INR, α-fetoprotein, microvascular invasion, satellite lesions, tumour diameter, and macrovascular invasion were for OS. In the training cohort, the C-index of nomogram was 0.701 (95% confidence interval [CI], 0.669 to 0.732) for RFS and 0.761 (95% CI, 0.728 to 0.795) for OS. These results received both internal and external validation with C-index of 0.701 (95% CI, 0.647 to 0.755) and 0.707 (95% CI, 0.657 to 0.756) for RFS, and 0.706 (95% CI, 0.640 to 0.772) and 0.708 (95% CI, 0.646 to 0.771) for OS, respectively. The nomograms showed superior accuracy to conventional staging systems (p<0.001). CONCLUSION: The nomograms based on inflammation-related markers are of high efficacy in predicting survival of HCC patients after hepatectomy, which will be valuable in guiding postoperative interventions and follow-ups.
Bilirubin
;
Blood Platelets
;
Calibration
;
Carcinoma, Hepatocellular
;
Cohort Studies
;
Discrimination (Psychology)
;
Follow-Up Studies
;
gamma-Glutamyltransferase
;
Hepatectomy
;
Humans
;
Inflammation
;
International Normalized Ratio
;
Lymphocytes
;
Neutrophils
;
Nomograms
;
Recurrence
6.Nomogram Development and External Validation for Predicting the Risk of Lymph Node Metastasis in T1 Colorectal Cancer
Jung Ryul OH ; Boram PARK ; Seongdae LEE ; Kyung Su HAN ; Eui Gon YOUK ; Doo Han LEE ; Do Sun KIM ; Doo Seok LEE ; Chang Won HONG ; Byung Chang KIM ; Bun KIM ; Min Jung KIM ; Sung Chan PARK ; Dae Kyung SOHN ; Hee Jin CHANG ; Jae Hwan OH
Cancer Research and Treatment 2019;51(4):1275-1284
PURPOSE: Predicting lymph node metastasis (LNM) risk is crucial in determining further treatment strategies following endoscopic resection of T1 colorectal cancer (CRC). This study aimed to establish a new prediction model for the risk of LNM in T1 CRC patients. MATERIALS AND METHODS: The development set included 833 patients with T1 CRC who had undergone endoscopic (n=154) or surgical (n=679) resection at the National Cancer Center. The validation set included 722 T1 CRC patients who had undergone endoscopic (n=249) or surgical (n=473) resection at Daehang Hospital. A logistic regression model was used to construct the prediction model. To assess the performance of prediction model, discrimination was evaluated using the receiver operating characteristic (ROC) curves with area under the ROC curve (AUC), and calibration was assessed using the Hosmer-Lemeshow (HL) goodness-of-fit test. RESULTS: Five independent risk factors were determined in the multivariable model, including vascular invasion, high-grade histology, submucosal invasion, budding, and background adenoma. In final prediction model, the performance of the model was good that the AUC was 0.812 (95% confidence interval [CI], 0.770 to 0.855) and the HL chi-squared test statistic was 1.266 (p=0.737). In external validation, the performance was still good that the AUC was 0.771 (95% CI, 0.708 to 0.834) and the p-value of the HL chi-squared test was 0.040. We constructed the nomogram with the final prediction model. CONCLUSION: We presented an externally validated new prediction model for LNM risk in T1 CRC patients, guiding decision making in determining whether additional surgery is required after endoscopic resection of T1 CRC.
Adenoma
;
Area Under Curve
;
Calibration
;
Colorectal Neoplasms
;
Decision Making
;
Discrimination (Psychology)
;
Humans
;
Logistic Models
;
Lymph Nodes
;
Neoplasm Metastasis
;
Nomograms
;
Risk Factors
;
ROC Curve
7.CD72 is a Negative Regulator of B Cell Responses to Nuclear Lupus Self-antigens and Development of Systemic Lupus Erythematosus
Immune Network 2019;19(1):e1-
Systemic lupus erythematosus (SLE) is the prototypic systemic autoimmune disease characterized by production of autoantibodies to various nuclear antigens and overexpression of genes regulated by IFN-I called IFN signature. Genetic studies on SLE patients and mutational analyses of mouse models demonstrate crucial roles of nucleic acid (NA) sensors in development of SLE. Although NA sensors are involved in induction of anti-microbial immune responses by recognizing microbial NAs, recognition of self NAs by NA sensors induces production of autoantibodies to NAs in B cells and production of IFN-I in plasmacytoid dendritic cells. Among various NA sensors, the endosomal RNA sensor TLR7 plays an essential role in development of SLE at least in mouse models. CD72 is an inhibitory B cell co-receptor containing an immunoreceptor tyrosine-based inhibition motif (ITIM) in the cytoplasmic region and a C-type lectin like-domain (CTLD) in the extracellular region. CD72 is known to regulate development of SLE because CD72 polymorphisms associate with SLE in both human and mice and CD72−/− mice develop relatively severe lupus-like disease. CD72 specifically recognizes the RNA-containing endogenous TLR7 ligand Sm/RNP by its extracellular CTLD, and inhibits B cell responses to Sm/RNP by ITIM-mediated signal inhibition. These findings indicate that CD72 inhibits development of SLE by suppressing TLR7-dependent B cell response to self NAs. CD72 is thus involved in discrimination of self-NAs from microbial NAs by specifically suppressing autoimmune responses to self-NAs.
Animals
;
Antigens, Nuclear
;
Autoantibodies
;
Autoantigens
;
Autoimmune Diseases
;
Autoimmunity
;
B-Lymphocytes
;
Cytoplasm
;
Dendritic Cells
;
Discrimination (Psychology)
;
Humans
;
Immunoreceptor Tyrosine-Based Inhibition Motif
;
Lectins, C-Type
;
Lupus Erythematosus, Systemic
;
Mice
;
RNA
8.The relationship between classical item characteristics and item response time on computer-based testing
Yoo Mi CHAE ; Seok Gun PARK ; Ilyong PARK
Korean Journal of Medical Education 2019;31(1):1-9
PURPOSE: This study investigated the relationship between the item response time (iRT) and classic item analysis indicators obtained from computer-based test (CBT) results and deduce students' problem-solving behavior using the relationship. METHODS: We retrospectively analyzed the results of the Comprehensive Basic Medical Sciences Examination conducted for 5 years by a CBT system in Dankook University College of Medicine. iRT is defined as the time spent to answer the question. The discrimination index and the difficulty level were used to analyze the items using classical test theory (CTT). The relationship of iRT and the CTT were investigated using a correlation analysis. An analysis of variance was performed to identify the difference between iRT and difficulty level. A regression analysis was conducted to examine the effect of the difficulty index and discrimination index on iRT. RESULTS: iRT increases with increasing difficulty index, and iRT tends to decrease with increasing discrimination index. The students' effort is increased when they solve difficult items but reduced when they are confronted with items with a high discrimination. The students' test effort represented by iRT was properly maintained when the items have a 'desirable' difficulty and a 'good' discrimination. CONCLUSION: The results of our study show that an adequate degree of item difficulty and discrimination is required to increase students' motivation. It might be inferred that with the combination of CTT and iRT, we can gain insights about the quality of the examination and test behaviors of the students, which can provide us with more powerful tools to improve them.
Discrimination (Psychology)
;
Humans
;
Motivation
;
Reaction Time
;
Retrospective Studies
9.Factors Influencing Death Anxiety in Community-Dwelling Elderly: Based on the Ecology Theory
Korean Journal of Hospice and Palliative Care 2019;22(1):30-38
PURPOSE: This study analyzed a path through which factors influencing death anxiety in the community-dwelling elderly, assuming personal organismic factors and microsystemic factors based on the ecology model purported by Belsky (1980). METHODS: This study was performed with 189 elderly people. Data were collected through a self-report questionnaire. The data were analyzed using the SPSS and AMOS programs. RESULTS: The factors influencing death anxiety in the elderly were depression, family support, social network, and familism value, and the explanatory power of these variables was 22%. Death anxiety increased with higher depression, higher familism value, larger social network, and lower family support. Spiritual well-being and elderly discrimination experience had indirect effects on death anxiety, and these effects were mediated by depression. CONCLUSION: Depression, family support, social network, and familism value were found to influence death anxiety in the elderly, and the strongest effect came from depression. To reduce death anxiety in the elderly, it is important to improve their relationship with their family and friends. Moreover, support should be provided by establishing local systems, and intervention should be provided to alleviate depression.
Aged
;
Anxiety
;
Depression
;
Discrimination (Psychology)
;
Ecology
;
Friends
;
Humans
10.Expression and serological application of recombinant epitope-repeat protein carrying an immunodominant epitope of Newcastle disease virus nucleoprotein.
Satish S GAIKWAD ; Hyun Jeong LEE ; Ji Ye KIM ; Kang Seuk CHOI
Clinical and Experimental Vaccine Research 2019;8(1):27-34
PURPOSE: The aim of the present study was to develop a serodiagnostic test for differentiation infected from vaccinated animal (DIVA) strategy accompanying the marker vaccine lacking an immunodominant epitope (IDE) of nucleoprotein of Newcastle disease virus (NDV). MATERIALS AND METHODS: Recombinant epitope-repeat protein (rERP) gene encoding eight repeats of the IDE sequence (ETQFLDLMRAVANSMR) by tetra-glycine linker was synthesized. Recombinant baculovirus carrying the rERP gene was generated to express the rERP in insect cells. Specificity and sensitivity of an indirect enzyme-linked immunosorbent assay (ELISA) employing the rERP was evaluated. RESULTS: The rERP with molecular weight of 20 kDa was successfully expressed by the recombinant baculovirus in an insect-baculovirus system. The rERP was antigenically functional as demonstrated by Western blotting. An indirect ELISA employing the rERP was developed and its specificity and sensitivity was determined. The ELISA test allowed discrimination of NDV infected sera from epitope deletion virus vaccinated sera. CONCLUSION: The preliminary results represent rERP ELISA as a promising DIVA diagnostic tool.
Animals
;
Baculoviridae
;
Blotting, Western
;
Discrimination (Psychology)
;
Enzyme-Linked Immunosorbent Assay
;
Insects
;
Molecular Weight
;
Newcastle disease virus*
;
Newcastle Disease*
;
Nucleoproteins
;
Sensitivity and Specificity

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