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

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

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

discrimination, and identification) scoreRESULTS: Olfactory function improved in 74 of 134 patients (55.2%). Etiology of olfactory disorder, sex, and age had statistically significant influence on the improvement rate of olfactory function, among which etiology of olfactory loss was the most important. However, initial severity and duration of olfactory loss had no statistically significant influence on the improvement rate. The TDI score at three months of olfactory training showed remarkable improvement, primarily because of improvements in the discrimination and identification components.CONCLUSION: The present study showed that olfactory training with intranasal corticosteroid was beneficial to improve olfactory function in patients with olfactory dysfunction, particularly in postviral infection patients.]]>
Adult ; Discrimination (Psychology) ; Fluticasone ; Humans ; Methods ; Odors ; Olfaction Disorders ; Regeneration

discrimination, identification score, and subjective VAS score of olfaction. Olfactory testing was performed before and after training for 4 and 12 weeks.RESULTS: There was no demographic difference between the two groups. After olfactory training, the preference group showed statistically significant improvement in threshold, identification, TDI score, and VAS score. Conversely, there was no significant change of olfactory function in the non-preference group.CONCLUSION: Thus, we conclude that odorants of olfactory training should be applied depending on cultural preferences, and that the preferred odorants of each individual patient will have a greater therapeutic effect on olfactory dysfunction compared to non-preferred odorants.]]>
Discrimination (Psychology) ; Humans ; Methods ; Odors ; Precision Medicine ; Prevalence ; Prospective Studies ; Smell

PURPOSE: This study aimed to validate the psychometric properties of the CRAFFT (Car, Relax, Alone, Forget, Family/Friends, Trouble) by using item response theory (IRT) and further examine gender differences in item-level responses.METHODS: This study used the 13(th) (2017) Korea Youth Risk Behavior Survey data conducted by the Korean Centers for Disease and Prevention and analyzed data of 8,568 students who reported drinking alcohol in the previous 30 days. IRT assumptions including unidimensionality, local independence, and monotonicity were tested. A one-factor two-parameter IRT model was fitted for item parameterization (M₂ = 76.92, 20 df, p < .001, root mean square error of approximation = 0.02). Graphics for item characteristic curves and item and test information curves were provided. Differential item functioning (DIF) analysis was evaluated to measure item equivalence between boys and girls.RESULTS: Unidimensionality and local independence were satisfied, and the dominant factor eigenvalue and variance were 2.48 and 41.3% in boys and 2.08 and 34.7% in girls, respectively, and residual correlations in paired items were less than .2. The discrimination parameters were estimated as 1.32–3.59 for boys and 1.30–3.64 for girls. The severity parameters estimated verity as −0.23 to 1.67 for boys and −0.32 to 2.17 for girls. DIF was detected for four of six items, “Car,” “Relax,” “Forget,” and “Family/friends.” However, its impact on the total score was negligible.CONCLUSION: The CRAFFT is a valid and reliable screening tool to identify alcohol use problems for both boys and girls, exhibiting good discrimination, good coverage of severity, and negligible DIF.
Adolescent ; Alcohols ; Discrimination (Psychology) ; Drinking ; Female ; Humans ; Korea ; Mass Screening ; Psychometrics ; Risk-Taking