The aim of this study was to examine the relationship between childhood trauma and psychotic symptoms in schizophrenic patients after controlling for the possible confounding factors, such as depression and dissociative symptoms. Ninety-eight schizophrenic inpatients participated. Childhood trauma was examined using the Childhood Trauma Questionnaires (CTQ), which consists of physical abuse (PA), sexual abuse (SA), emotional abuse (EA), physical neglect (PN), and emotional neglect (EN). Positive and Negative Syndrome Scale (PANSS), Dissociative Experience Scale (DES), and Beck's Depression Inventory (BDI) were also administered. Data were analyzed by partial correlation and general linear model. The total score of CTQ was positively correlated with positive, general, and total scores of PANSS. All five types of childhood trauma were associated with dissociative symptoms. EA and EN were positively correlated with depressive symptoms. Only SA significantly predicted positive symptoms of schizophrenia after controlling for age, sex, BDI, and DES scores, with a dose-response relationship between SA and positive symptoms.
Depression ; Humans ; Inpatients ; Linear Models ; Multivariate Analysis* ; Surveys and Questionnaires ; Schizophrenia* ; Sex Offenses

OBJECTIVES: The aims of this study were to investigate the pattern of stress coping strategies and the effects of stress coping strategies on quality of life in patients with schizophrenia. METHODS: Stress coping strategies and quality of life were examined using Ways of Coping Checklist and Schizophrenia Quality of Life Scale for 98 patients with schizophrenia. Stress coping strategies were composed of problem-focused coping, social support seeking, emotion-focused coping, and wishful thinking. Among these, problem-focused coping and social support seeking were active coping strategies while emotion-focused coping and wishful thinking were passive coping strategies. Positive and Negative Syndrome Scale (PANSS) and Beck's Depression Inventory (BDI) were also administered. RESULTS: Active coping scores were higher than passive coping scores in patients with schizophrenia. Quality of life was higher in the active coping group compared to the passive coping group. Active coping usage was a significant predictor of higher quality of life even after controlling for gender, age, PANSS, and BDI scores. CONCLUSION: Patients with schizophrenia used more active coping strategies than passive coping strategies, which showed significant association with higher quality of life. A treatment program to provide education on use of active coping strategies in a proper and flexible way might contribute to enhanced quality of life in patients with schizophrenia.
Adaptation, Psychological ; Checklist ; Depression ; Education ; Humans ; Quality of Life* ; Schizophrenia* ; Stress, Psychological ; Thinking

BACKGROUND/OBJECTIVES: Diet planning in childcare centers is difficult because of the required knowledge of nutrition and development as well as the high design complexity associated with large numbers of food items. Artificial intelligence (AI) is expected to provide diet-planning solutions via automatic and effective application of professional knowledge, addressing the complexity of optimal diet design. This study presents the results of the evaluation of the utility of AI-generated diets for children and provides related implications.MATERIALS/METHODS: We developed 2 AI solutions for children aged 3–5 yrs using a generative adversarial network (GAN) model and a reinforcement learning (RL) framework.After training these solutions to produce daily diet plans, experts evaluated the human- and AI-generated diets in 2 steps. RESULTS: In the evaluation of adequacy of nutrition, where experts were provided only with nutrient information and no food names, the proportion of strong positive responses to RLgenerated diets was higher than that of the human- and GAN-generated diets (P < 0.001). In contrast, in terms of diet composition, the experts’ responses to human-designed diets were more positive when experts were provided with food name information (i.e., composition information). CONCLUSIONS To the best of our knowledge, this is the first study to demonstrate the development and evaluation of AI to support dietary planning for children. This study demonstrates the possibility of developing AI-assisted diet planning methods for children and highlights the importance of composition compliance in diet planning. Further integrative cooperation in the fields of nutrition, engineering, and medicine is needed to improve the suitability of our proposed AI solutions and benefit children’s well-being by providing high-quality diet planning in terms of both compositional and nutritional criteria.

Objective: To establish and evaluate the validity of the recently developed Korean version of the Oxford Cognitive Screen (K-OCS), this study verified its reliability, validity, and diagnostic accuracy. Methods: Between November 2021 and December 2023, we recruited 72 patients with stroke from our hospital who agreed to participate in the study. The patients were repeatedly tested using K-OCS by the same or different assessors to estimate inter- and intra-rater reliability. To demonstrate the validity and usability of K-OCS, the test results of screening tools currently used in clinical practice, including the Korean-Mini Mental State Examination and the Korean version of the Montreal Cognitive Assessment, were used in comparison analyses. Results: The subtests of K-OCS demonstrated excellent inter-rater reliability (intra-class correlation coefficient [ICC]=0.914–0.998) and test–retest reliability (ICC=0.913–0.994). We found moderate-to-strong correlations for convergent validity for the subsets (r=0.378– 0.979, p<0.01), and low-to-moderate discriminant validity correlations. The optimal cut-offs estimated for the subtests of the K-OCS showed a good-to-high range of specificity (94.8%– 100%). The positive predictive value was 58.2%–100% and negative predictive value was 65.6%–98.4%. Sensitivity was estimated at 25.6%–86.9%. Conclusion The results of this study indicate that K-OCS is a reliable and valid tool for screening cognitive impairment in patients post-stroke.

Objective: To establish and evaluate the validity of the recently developed Korean version of the Oxford Cognitive Screen (K-OCS), this study verified its reliability, validity, and diagnostic accuracy. Methods: Between November 2021 and December 2023, we recruited 72 patients with stroke from our hospital who agreed to participate in the study. The patients were repeatedly tested using K-OCS by the same or different assessors to estimate inter- and intra-rater reliability. To demonstrate the validity and usability of K-OCS, the test results of screening tools currently used in clinical practice, including the Korean-Mini Mental State Examination and the Korean version of the Montreal Cognitive Assessment, were used in comparison analyses. Results: The subtests of K-OCS demonstrated excellent inter-rater reliability (intra-class correlation coefficient [ICC]=0.914–0.998) and test–retest reliability (ICC=0.913–0.994). We found moderate-to-strong correlations for convergent validity for the subsets (r=0.378– 0.979, p<0.01), and low-to-moderate discriminant validity correlations. The optimal cut-offs estimated for the subtests of the K-OCS showed a good-to-high range of specificity (94.8%– 100%). The positive predictive value was 58.2%–100% and negative predictive value was 65.6%–98.4%. Sensitivity was estimated at 25.6%–86.9%. Conclusion The results of this study indicate that K-OCS is a reliable and valid tool for screening cognitive impairment in patients post-stroke.

Objective: To establish and evaluate the validity of the recently developed Korean version of the Oxford Cognitive Screen (K-OCS), this study verified its reliability, validity, and diagnostic accuracy. Methods: Between November 2021 and December 2023, we recruited 72 patients with stroke from our hospital who agreed to participate in the study. The patients were repeatedly tested using K-OCS by the same or different assessors to estimate inter- and intra-rater reliability. To demonstrate the validity and usability of K-OCS, the test results of screening tools currently used in clinical practice, including the Korean-Mini Mental State Examination and the Korean version of the Montreal Cognitive Assessment, were used in comparison analyses. Results: The subtests of K-OCS demonstrated excellent inter-rater reliability (intra-class correlation coefficient [ICC]=0.914–0.998) and test–retest reliability (ICC=0.913–0.994). We found moderate-to-strong correlations for convergent validity for the subsets (r=0.378– 0.979, p<0.01), and low-to-moderate discriminant validity correlations. The optimal cut-offs estimated for the subtests of the K-OCS showed a good-to-high range of specificity (94.8%– 100%). The positive predictive value was 58.2%–100% and negative predictive value was 65.6%–98.4%. Sensitivity was estimated at 25.6%–86.9%. Conclusion The results of this study indicate that K-OCS is a reliable and valid tool for screening cognitive impairment in patients post-stroke.

OBJECTIVE: To obtain reliability and applicability of the Korean version Bayley Scale of Infant Development-II (BSID-II) in evaluating the developmental status of children with cerebral palsy (CP). METHODS: The inter-rater reliability of BSID-II scores from 68 children with CP (46 boys and 22 girls; mean age, 32.54+/-16.76 months; age range, 4 to 78 months) was evaluated by 10 pediatric occupational therapists. Patients were classified in several ways according to age group, typology, and the severity of motor impairment by the level of the Gross Motor Function Classification System (GMFCS). The measures were performed by video analysis, and the results of intraclass correlation (ICC) were obtained for each of the above classifications. To evaluate the clinical applicability of BSID-II for CP, its correlation with the Gross Motor Function Measure (GMFM), which has been known as the standard motor assessment for CP, was investigated. RESULTS: ICC was 0.99 for the Mental scale and 0.98 for the Motor scale in all subjects. The values of ICC ranged from 0.92 to 0.99 for each age group, 0.93 to 0.99 for each typology, and 0.99 to 1.00 for each GMFCS level. A strong positive correlation was found between the BSID-II Motor raw score and the GMFM total score (r=0.84, p<0.001), and a moderate correlation was observed between the BSID-II Mental raw score and the GMFM total score (r=0.65, p<0.001). CONCLUSION: The Korean version of BSID-II is a reliable tool to measure the functional status of children with CP. The raw scores of BSID-II showed a great correlation with GMFM, indicating validity of this measure for children with CP on clinical basis.
Cerebral Palsy ; Child ; Child Development ; Humans ; Infant

Tetrasomy 18p is a genetic syndrome caused by an isochromosome consisting of two copies of the short arm of chromosome 18. Clinically, pediatric cases of tetrasomy 18p manifest with global developmental delay, similar to most cases of chromosomal abnormality. In addition, it causes various symptoms including abnormal muscle tone. We report a case of an infant with global developmental delay and remarkable spasticity, the typical phenotype of bilateral spastic cerebral palsy. However, she had a subtle anomaly in her face, and brain magnetic resonance imaging (MRI) findings were inconsistent with her strong upper motor neuron signs. Upon genetic testing, she was determined to have an 18p isochromosome, confirming de novo non-mosaic tetrasomy 18p. Cerebral palsy is a neurological disorder that includes developmental delay caused by a non-progressive lesion in the developing brain. During diagnostic workup in patients with cerebral palsy, genetic testing should be considered when there are minor physical anomalies or equivocal MRI findings.

Background: Liver fibrosis is an early stage of liver cirrhosis. As a reversible lesion before cirrhosis, liver failure, and liver cancer, it has been a target for drug discovery. Many antifibrotic candidates have shown promising results in experimental animal models; however, due to adverse clinical reactions, most antifibrotic agents are still preclinical. Therefore, rodent models have been used to examine the histopathological differences between the control and treatment groups to evaluate the efficacy of anti-fibrotic agents in non-clinical research. In addition, with improvements in digital image analysis incorporating artificial intelligence (AI), a few researchers have developed an automated quantification of fibrosis. However, the performance of multiple deep learning algorithms for the optimal quantification of hepatic fibrosis has not been evaluated. Here, we investigated three different localization algorithms, mask R-CNN, DeepLabV3+, and SSD, to detect hepatic fibrosis. Results: 5750 images with 7503 annotations were trained using the three algorithms, and the model performance was evaluated in large-scale images and compared to the training images. The results showed that the precision values were comparable among the algorithms. However, there was a gap in the recall, leading to a difference in model accuracy. The mask R-CNN outperformed the recall value (0.93) and showed the closest prediction results to the annotation for detecting hepatic fibrosis among the algorithms. DeepLabV3+ also showed good performance; however, it had limitations in the misprediction of hepatic fibrosis as inflammatory cells and connective tissue. The trained SSD showed the lowest performance and was limited in predicting hepatic fibrosis compared to the other algorithms because of its low recall value (0.75). Conclusions We suggest it would be a more useful tool to apply segmentation algorithms in implementing AI algorithms to predict hepatic fibrosis in non-clinical studies.

Background/Aims: The association between symptomatic knee osteoarthritis (OA) and higher cardiovascular disease (CVD) mortality is established; however, findings from studies that utilized regression analysis were limited, attributed to the strong association between OA and metabolic risk factors. This study aimed to evaluate the association between knee OA and mortality through propensity score matching. Methods: This was a cohort study including Korean National Health and Nutrition Examination Survey (2010–2013) participants aged ≥ 50 years. By linking the survey data to cause of death data (through 2019) from Statistics Korea, mortality and cause-specific mortality data were obtained. Radiographic knee OA (ROA) was defined as bilateral Kellgren–Lawrence grade ≥ 2. Propensity score matching (1:1) was conducted between asymptomatic ROA, knee pain, and symptomatic ROA groups and normal groups, balancing the confounding factors. Time to death was analyzed using Cox proportional hazard modeling. Results: A higher CVD mortality was observed in the symptomatic ROA group, but not in others; the risk estimates were asymptomatic ROA (hazard ratio [HR] 1.12; 95% confidence interval [CI] 0.77–1.65), knee pain (HR 0.61; 95% CI 0.27–1.38), and symptomatic ROA (HR 1.39; 95% CI 0.89–2.17). No association was found between the all-cause/cancer mortality and other groups. Conclusions When propensity score matching controls metabolic risk factor imbalances, the association between symptomatic knee OA and higher CVD mortality was weaker compared to results of prior studies that used regression adjustment. The results may be more precise estimates of the total risk of knee OA for mortality in Koreans.