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

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

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

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 ; Discrimination (Psychology) ; Disease-Free Survival ; Humans ; Joints ; Neoplasm Staging ; Neuroectodermal Tumors, Primitive ; Neuroendocrine Tumors ; Pancreas ; Survival Rate

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

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

Corollary discharge mechanism refers to the suppression of sensory consequences of self-generated actions; a process that serves to distinguish between self and non-self based on discrimination of origination of action. It explains, say for example, why we cannot tickle ourselves. This review discusses how corollary discharge model is an essential neural integration mechanism central to the motor functioning of animal kingdom. In this article, research conducted in the field of corollary discharge has been reviewed to understand the neuroanatomical and neurophysiological basis of corollary discharge and gain insight into the biochemical basis of its dysfunction. This review article also explores the role of corollary discharge and its dysfunction in the presentation of symptoms of schizophrenia, discussing the findings from corollary discharge studies on schizophrenia population. Lastly, the link between schizophrenia psychopathology and corollary discharge dysfunction has been highlighted, and an attempt has been made to establish a case for correction of corollary discharge deficit in schizophrenia through neuromodulation.
Animals ; Discrimination (Psychology) ; Hallucinations ; Motor Activity ; Psychopathology ; Schizophrenia ; Transcranial Direct Current Stimulation

BACKGROUND: It is difficult for surgeons to reconstruct soft tissue defects of the great toe. This report aims to evaluate the utility and efficacy of innervated distally based first dorsal metatarsal artery (FDMA) flap with a wide pedicle for reconstruction of soft tissue defects of the great toe. METHODS: This is a retrospective report. Between January 2015 and December 2017, six cases of skin defect of the great toe were reconstructed with an innervated distally based FDMA flap with a wide pedicle. One case was excluded in this report because of chronic pain on the metatarsophalangeal joint due to osteoarthritis before the injury. A total of five cases were evaluated for flap survival and sensory recovery. The sensory recovery was investigated by two-point discrimination and Semmes-Weinstein monofilament tests. The average age of the selected patients was 40 years (range, 36 to 56 years), and the average size of the defect in the toe was 8.3 cm2 (range, 4 to 13.8 cm2). The average follow-up period was 29.4 months (range, 18 to 38 months). RESULTS: All patients survived without any complications. The average two-point discrimination test value was 8.0 ± 0.89 mm (range, 7 to 9 mm), and the average value obtained from the Semmes-Weinstein monofilament test was 4.53 ± 0.33 (range, 4.17 to 4.93). The average residual pain score evaluated with a visual analog scale was 1 (range, 0 to 2). Two patients complained of stiffness in the great toe below 30° of total range of motion during the early stages after surgery, but this stiffness gradually improved after rehabilitation. The average range of motion of three patients with a remaining metatarsophalangeal joint after surgery was 80° (range, 70° to 90°). All five cases could walk regularly without any unique footwear at the final follow-up. CONCLUSIONS: The innervated distally based FDMA flap with a wide pedicle could be a good alternative method for repair of soft tissue defects of the great toe.
Arteries ; Chronic Pain ; Discrimination (Psychology) ; Follow-Up Studies ; Humans ; Metatarsal Bones ; Metatarsophalangeal Joint ; Methods ; Osteoarthritis ; Perforator Flap ; Range of Motion, Articular ; Rehabilitation ; Retrospective Studies ; Skin ; Surgeons ; Toes ; Visual Analog Scale

OBJECTIVES: Biosignal data captured by patient monitoring systems could provide key evidence for detecting or predicting critical clinical events; however, noise in these data hinders their use. Because deep learning algorithms can extract features without human annotation, this study hypothesized that they could be used to screen unacceptable electrocardiograms (ECGs) that include noise. To test that, a deep learning-based model for unacceptable ECG screening was developed, and its screening results were compared with the interpretations of a medical expert. METHODS: To develop and apply the screening model, we used a biosignal database comprising 165,142,920 ECG II (10-second lead II electrocardiogram) data gathered between August 31, 2016 and September 30, 2018 from a trauma intensive-care unit. Then, 2,700 and 300 ECGs (ratio of 9:1) were reviewed by a medical expert and used for 9-fold cross-validation (training and validation) and test datasets. A convolutional neural network-based model for unacceptable ECG screening was developed based on the training and validation datasets. The model exhibiting the lowest cross-validation loss was subsequently selected as the final model. Its performance was evaluated through comparison with a test dataset. RESULTS: When the screening results of the proposed model were compared to the test dataset, the area under the receiver operating characteristic curve and the F1-score of the model were 0.93 and 0.80 (sensitivity = 0.88, specificity = 0.89, positive predictive value = 0.74, and negative predictive value = 0.96). CONCLUSIONS: The deep learning-based model developed in this study is capable of detecting and screening unacceptable ECGs efficiently.
Dataset ; Electrocardiography ; Humans ; Learning ; Mass Screening ; Monitoring, Physiologic ; Noise ; ROC Curve ; Sensitivity and Specificity ; Signal Detection, Psychological

Prostate cancer (CaP) is the most common cancer diagnosed among men in the United States and the fifth most common cancer among men in Korea. Unfortunately, the early stages of CaP may have no symptoms. Thus, early detection is very important and physicians managing voiding dysfunction must have awareness about CaP. The traditional tests used for early detection of CaP are the prostate-specific antigen (PSA) blood test and digital rectal examination. However, a high PSA level is not specific for CaP. Benign prostatic hyperplasia, prostatitis, urinary tract infection, and urinary retention can all cause a high PSA level. Thus, no test shows sufficient accuracy to truly be useful for screening men for CaP. A prostate biopsy is the only method that yields a definitive diagnosis of CaP; however, this test is invasive and uncomfortable. Recently, new biomarkers for CaP detection have been proposed to improve the accuracy of the PSA test. In this review, we summarize our knowledge of various new biomarkers, including PSA-associated biomarkers (the prostate health index and 4Kscore), molecular biomarkers (PCA3, TMPRSS2: ERG fusion gene, and various miRNAs), and proteomics-associated biomarkers, and the ways in which they may improve the detection rate of CaP. Accordingly, this review can raise awareness about CaP to physicians managing voiding dysfunction and be a good reference for them.
Biomarkers ; Biopsy ; Diagnosis ; Digital Rectal Examination ; Discrimination (Psychology) ; Early Detection of Cancer ; Hematologic Tests ; Humans ; Korea ; Male ; Mass Screening ; Methods ; Prostate ; Prostate-Specific Antigen ; Prostatic Hyperplasia ; Prostatic Neoplasms ; Prostatitis ; United States ; Urinary Retention ; Urinary Tract Infections