OBJECTIVES: This study aimed to examine the association between norepinephrine transporter gene (SLC6A2) polymorphisms and attention-deficit hyperactivity disorder (ADHD) and to examine the relationship between the genotypes and allele variants of SLC6A2 and results of the Korean version of the parent ADHD rating scale (K-ARS). METHODS: We examined the association between ADHD and norepinephrine transporter gene polymorphism using DNA from 137 Korean children with ADHD and 120 normal controls. We compared the genotype distributions and allele frequencies of SLC6A2 polymorphism between the control group and the ADHD group. Then, we correlated the children's K-ARS mean totals, inattention scores, and hyperactivity/impulsivity scores with the genotypes and alleles for each SLC6A2 polymorphism. RESULTS: There were no significant differences in genotype and allele distribution for each SLC6A2 polymorphism, as shown by the Chi-square test (p>.01). There was a trend toward a difference in allele frequency in rs 5568, but it was not statistically significant after adjusting for multiple comparisons (p=.048). Also, there were no significant differences in K-ARS scores according to the genotypes and alleles for the SLC6A2 polymorphisms. CONCLUSION: Our study found no significant evidence of an association between SLC6A2 polymorphisms and ADHD.
Alleles ; Case-Control Studies ; Child ; DNA ; Gene Frequency ; Genotype ; Humans ; Norepinephrine ; Norepinephrine Plasma Membrane Transport Proteins ; Parents

OBJECTIVES: The objective of this study was to identify the risky behavior subtypes in adolescents with depression, and the relationship between those subtypes and suicide attempt. METHODS: Ninety adolescents who met the Diagnostic and Statistical Manual of Mental Disorders-4th edition criteria for major depressive disorder, dysthymia, or depressive disorder not otherwise specified participated in the study. Participants were interviewed about suicidal attempts, non-suicidal self-injuries. Smoking, drinking behaviors, and searching for the word "suicide" on the internet, negative life events including bulling-bullied experiences, and history of abuse were also included with questionnaires. RESULTS: The results of cluster analysis showed that four risky behaviors were divided into three clusters : non-risky type, characterized by few risky behaviors ; delinquency type, which was characterized by smoking and drinking ; non-suicidal self-injury type. In non-suicidal self-injury type, percentage of girls was higher and clinical symptoms were more severe than delinquency type. In addition, delinquency type members could be a bully, while non-suicidal self-injury type members could be abused by a family member. Logistic regression analysis showed that both risky behavior subtypes were significant predictors of suicide attempt. CONCLUSION: These results suggest that two types of risky behaviors of depressed adolescents have an effect on the suicide attempts independently. Then, the implications and limitations of the study were discussed and directions for future studies were suggested.
Adolescent* ; Depression* ; Depressive Disorder ; Depressive Disorder, Major ; Drinking ; Drinking Behavior ; Female ; Humans ; Internet ; Logistic Models ; Smoke ; Smoking ; Suicide*

Background: Ultrasonography is an effective noninvasive imaging modality for the diagnosis of subcutaneous masses. To date, few studies have reported skin ultrasonography using deep convolutional neural networks (DCNNs).We investigated the accuracy of DCNNs for the diagnosis of epidermal cysts, lipomas, and other subcutaneous masses. Objective: The purpose of this study was to evaluate whether DCNNs could diagnose subcutaneous masses with ultrasonographic images at level of competence comparable to dermatologists. Methods: We created a dataset of 1,361 skin ultrasonography images obtained from 202 patients diagnosed with epidermal cysts, lipomas, and other subcutaneous masses, to train the DCNNs using ResNet18. Performance was compared with another set of 93 ultrasonographic images (24 epidermal cysts, 25 lipomas, and 44 other subcutaneous masses) from open-access articles. Results: The DCNNs yielded 87.10% classification accuracy and 86.10% F1-scores. The area under the curve, sensitivity, and specificity were 0.92 (95% confidence interval [CI] 0.86∼0.98), 75.00%, and 98.55% for epidermal cysts; 0.93 (95% CI 0.88∼0.98), 80.00%, and 94.12% for lipomas; and 0.97 (95% CI 0.93∼1.00), 97.73%, and 85.71% for other subcutaneous masses, respectively. Analysis using gradient-weighted class activation mapping revealed that the DCNNs could detect specific ultrasonographic findings of epidermal cysts and lipomas. Conclusion We propose that DCNNs combined with ultrasonography may aid in the diagnosis of subcutaneous masses in outpatient settings.

Background: Ultrasonography is an effective noninvasive imaging modality for the diagnosis of subcutaneous masses. To date, few studies have reported skin ultrasonography using deep convolutional neural networks (DCNNs).We investigated the accuracy of DCNNs for the diagnosis of epidermal cysts, lipomas, and other subcutaneous masses. Objective: The purpose of this study was to evaluate whether DCNNs could diagnose subcutaneous masses with ultrasonographic images at level of competence comparable to dermatologists. Methods: We created a dataset of 1,361 skin ultrasonography images obtained from 202 patients diagnosed with epidermal cysts, lipomas, and other subcutaneous masses, to train the DCNNs using ResNet18. Performance was compared with another set of 93 ultrasonographic images (24 epidermal cysts, 25 lipomas, and 44 other subcutaneous masses) from open-access articles. Results: The DCNNs yielded 87.10% classification accuracy and 86.10% F1-scores. The area under the curve, sensitivity, and specificity were 0.92 (95% confidence interval [CI] 0.86∼0.98), 75.00%, and 98.55% for epidermal cysts; 0.93 (95% CI 0.88∼0.98), 80.00%, and 94.12% for lipomas; and 0.97 (95% CI 0.93∼1.00), 97.73%, and 85.71% for other subcutaneous masses, respectively. Analysis using gradient-weighted class activation mapping revealed that the DCNNs could detect specific ultrasonographic findings of epidermal cysts and lipomas. Conclusion We propose that DCNNs combined with ultrasonography may aid in the diagnosis of subcutaneous masses in outpatient settings.

Background: Dermatofibromas (DF) are fibrohistiocytic tumors of unknown etiology, and multiple DF (MDF) are relatively rare. MDF have been reported in the setting of autoimmune diseases, human immunodeficiency virus infection, or comorbidities treated with immunosuppressive drugs. Objective: The present study investigated whether underlying conditions with impaired immune function are associated with MDF. Methods: A total of 338 patients with DF was enrolled. We divided patients into two groups as MDF and solitary DF (SDF) groups. We retrospectively reviewed patient medical records and classified all patients by underlying diseases. Statistical significance of SDF and MDF for each conditions was analyzed. Results: The demographics and comorbidities were compared between MDF group (n=82) and SDF group (n=256). Among underlying conditions, systemic lupus erythematosus (SLE) (odds ratio, 10.397; 95% confidence interval, 2.743∼39.404; p＜0.001) was significantly associated with MDF over SDF. Vitiligo and post status of kidney transplant were related more highly to MDF (p=0.014; p=0.014, respectively) than to SDF. Presence of overall comorbidities, autoimmune diseases, and immunosuppressive drug use were associated with DF number (p＜0.001;p＜0.001; p＜0.001, respectively). Conclusion We propose an association between MDF and comorbidities, especially SLE and immunosuppressant use. MDF lesions seem to be impacted by compromised immune function. This is of significance since it is essential to search for associated conditions in patients presenting with MDF in dermatologic clinical settings.

PURPOSE: The purpose of this study was to evaluate the efficacy and safety of induction chemotherapy with docetaxel, capecitabine, and cisplatin (DXP) plus bevacizumab (BEV) on initially unresectable locally advanced gastric cancer (LAGC) or paraaortic lymph node (PAN) metastatic gastric cancer (GC). MATERIALS AND METHODS: Patients with LAGC or unresectable PAN metastatic GC received six induction chemotherapy cycles (60 mg/m2 docetaxel intravenously on day 1, 937.5 mg/m2 capecitabine orally twice daily on days 1-14, 60 mg/m2 cisplatin intravenously on day 1, and 7.5 mg/kg BEV intravenously on day 1 every 3 weeks), followed by conversion surgery. The primary endpoint was R0 resection rate. RESULTS: Thirty-one patients with invasion to adjacent organs but without PAN metastasis (n=14, LAGC group) or with PAN metastasis regardless of invasion (n=17, PAN group) were enrolled between July 2010 and December 2014. Twenty-seven patients (87.1%) completed six chemotherapy cycles. The most common grade ≥ 3 toxicities were neutropenia (71%), neutropenia with fever/infection (22.6%/3.2%), and stomatitis (16.1%). The clinical response and R0 resection rates were 64.3% (95% confidence interval [CI], 46.6 to 82.0) and 64.5% (LAGC group, 71.4%; PAN group, 58.8%), respectively. The pathological complete regression rate was 12.9%. After a median follow-up of 44.5 months (range, 39.4 to 49.7 months), the median progression-free survival and overall survival were 13.1 months (95% CI, 8.9 to 17.3) and 38.6 months (95% CI, 22.0 to 55.1), respectively. CONCLUSION: Induction chemotherapy with DXP+BEV displayed antitumor activities with encouraging R0 resection rate and manageable toxicity profiles on patients with LAGC or PAN metastatic GC.
Bevacizumab* ; Capecitabine* ; Cisplatin* ; Disease-Free Survival ; Drug Therapy ; Follow-Up Studies ; Gastrectomy ; Humans ; Induction Chemotherapy* ; Lymph Nodes* ; Neoplasm Metastasis* ; Neutropenia ; Stomach Neoplasms* ; Stomatitis

Fimasartan, a new angiotensin II receptor antagonist, reduces myocyte damage and stabilizes atherosclerotic plaque through its anti-inflammatory effect in animal studies. We investigated the protective effects of pretreatment with fimasartan on ischemia-reperfusion injury (IRI) in a mouse model of ischemic renal damage. C57BL/6 mice were pretreated with or without 5 (IR-F5) or 10 (IR-F10) mg/kg/day fimasartan for 3 days. Renal ischemia was induced by clamping bilateral renal vascular pedicles for 30 min. Histology, pro-inflammatory cytokines, and apoptosis assays were evaluated 24 h after IRI. Compared to the untreated group, blood urea nitrogen and serum creatinine levels were significantly lower in the IR-F10 group. IR-F10 kidneys showed less tubular necrosis and interstitial fibrosis than untreated kidneys. The expression of F4/80, a macrophage infiltration marker, and tumor necrosis factor (TNF)-α, decreased in the IR-F10 group. High-dose fimasartan treatment attenuated the upregulation of TNF-α, interleukin (IL)-1β, and IL-6 in ischemic kidneys. Fewer TUNEL positive cells were observed in IR-F10 compared to control mice. Fimasartan caused a significant decrease in caspase-3 activity and the level of Bax, and increased the Bcl-2 level. Fimasartan preserved renal function and tubular architecture from IRI in a mouse ischemic renal injury model. Fimasartan also attenuated upregulation of inflammatory cytokines and decreased apoptosis of renal tubular cells. Our results suggest that fimasartan inhibited the process of tubular injury by preventing apoptosis induced by the inflammatory pathway.
Animals ; Apoptosis* ; Blood Urea Nitrogen ; Caspase 3 ; Constriction ; Creatinine ; Cytokines ; Fibrosis ; In Situ Nick-End Labeling ; Interleukin-6 ; Interleukins ; Ischemia ; Kidney ; Macrophages ; Mice ; Muscle Cells ; Necrosis ; Plaque, Atherosclerotic ; Receptors, Angiotensin ; Reperfusion Injury* ; Tumor Necrosis Factor-alpha ; Up-Regulation

OBJECTIVES: The purpose of this study was to identify and compare the difference and related factors with general characteristic and health behaviors, a experience of diagnosis and treatment of chronic diseases between rural and urban among elderly in Korea. METHODS: We used the data of Community Health Survey 2017 which were collected by the Korean Center for Disease Control and Prevention. The study population comprised 67,835 elderly peopled aged 65 years or older who participated in the survey. The chi-square test, univariate and multivariate logistic regression analysis were used to analyze data. RESULTS: We identified many significant difference of health behaviors, an experience of diagnosis and treatment with chronic diseases between rural and urban. Compared to urban elderly, the odds ratios (ORs) (95% confidence interval) of rural elderly were 1.136 (1.092–1.183) for diagnosis of diabetes, 1.278 (1.278–1.386) for diagnosis of dyslipidemia, 0.940 (0.904–0.977) for diagnosis of arthritis, 0.785(0.736–0.837) for treatment of arthritis, 1.159 (1.116–1.203) for diagnosis of cataracts, and 1.285(1.200–1.375) for treatment of cataracts. In the experience of diagnosis and treatment of chronic diseases, various variables were derived as contributing factors for each disease. Especially, there were statistically significant difference in the experience of diabetes diagnosis, arthritis diagnosis, cataract diagnosis and dyslipidemia except for hypertension diagnosis (p<0.01) between urban and rural elderly. There were statistically significant differences in the experience of treatment for arthritis and cataract (p<0.01), but there was no significant difference in the experience of treatment for hypertension, diabetes, dyslipidemia between urban and rural elderly. CONCLUSION Therefore, it would be necessary to implement a strategic health management project for diseases that showed significant experience of chronic diseases with diagnosis and treatment, reflecting the related factors of the elderly chronic diseases among the urban and rural areas.