No abstract available.
Magnetic Resonance Imaging* ; Spinal Cord*

While anomalies of the pancreaticobiliary system are not uncommon, drainage of the common bile duct into the bulb of the duodenum has rarely been reported. The awareness of ectopic drainage of the CBD is stressed to prevent surgical damage and improve medical management in this area. We reported one case of anomalous drainage of the CBD and pancreatic duct associated with nonvisible gallbladder or agenesis of gallbladder and cystic duct diagnosed by ERCP, ultrasonography and upper abdominal CT.
Cholangiopancreatography, Endoscopic Retrograde ; Common Bile Duct* ; Cystic Duct ; Drainage* ; Duodenum ; Gallbladder ; Pancreatic Ducts* ; Tomography, X-Ray Computed ; Ultrasonography

While anomalies of the pancreaticobiliary system are not uncommon, drainage of the common bile duct into the bulb of the duodenum has rarely been reported. The awareness of ectopic drainage of the CBD is stressed to prevent surgical damage and improve medical management in this area. We reported one case of anomalous drainage of the CBD and pancreatic duct associated with nonvisible gallbladder or agenesis of gallbladder and cystic duct diagnosed by ERCP, ultrasonography and upper abdominal CT.
Cholangiopancreatography, Endoscopic Retrograde ; Common Bile Duct* ; Cystic Duct ; Drainage* ; Duodenum ; Gallbladder ; Pancreatic Ducts* ; Tomography, X-Ray Computed ; Ultrasonography

PURPOSE: The purpose of this study was to identify the knowledge, perception and hand hygiene performance rate of hospital nurses and to identify any correlation between them.METHOD: Data were collected from 205 nurses working in a university hospital in Chungcheong-do. A self-report survey method was utilized. Participants completed the hand hygiene knowledge questionnaire.RESULTS: The average knowledge of hand hygiene was 11.76 (out of 18 points), and the average perception of hand hygiene was 35.55 (out of 96). The hand hygiene performance rate was 85.62%. Knowledge of hand hygiene showed significant differences according to age (F = 75.821, p < .001), gender (t = 25.049, p < .001) and working period (F = 24.843, p < .001). The most important explanatory factor in hand hygiene performance was hand hygiene perception (β= .26), followed by working period (β= .14). These variables accounted for 10.0% of subjects' hand hygiene performance.CONCLUSION: The results of this study suggest that continuous and effective education is needed to strengthen knowledge and perception of the importance of hand hygiene practice for nurses to prevent healthcare-associated infections.
Cross Infection ; Education ; Hand Hygiene ; Hand ; Methods ; Surveys and Questionnaires

Background: Prediction of mortality in patients with coronavirus disease 2019 (COVID-19) is a key to improving the clinical outcomes, considering that the COVID-19 pandemic has led to the collapse of healthcare systems in many regions worldwide. This study aimed to identify the factors associated with COVID-19 mortality and to develop a nomogram for predicting mortality using clinical parameters and underlying diseases. Methods: This study was performed in 5,626 patients with confirmed COVID-19 between February 1 and April 30, 2020 in South Korea. A Cox proportional hazards model and logistic regression model were used to construct a nomogram for predicting 30-day and 60-day survival probabilities and overall mortality, respectively in the train set. Calibration and discrimination were performed to validate the nomograms in the test set. Results: Age ≥ 70 years, male, presence of fever and dyspnea at the time of COVID-19 diagnosis, and diabetes mellitus, cancer, or dementia as underling diseases were significantly related to 30-day and 60-day survival and mortality in COVID-19 patients. The nomogram showed good calibration for survival probabilities and mortality. In the train set, the areas under the curve (AUCs) for 30-day and 60-day survival was 0.914 and 0.954, respectively; the AUC for mortality of 0.959. In the test set, AUCs for 30-day and 60-day survival was 0.876 and 0.660, respectively, and that for mortality was 0.926. The online calculators can be found at https://koreastat.shinyapps.io/RiskofCOVID19/. Conclusion The prediction model could accurately predict COVID-19-related mortality; thus, it would be helpful for identifying the risk of mortality and establishing medical policies during the pandemic to improve the clinical outcomes.

Background: Prediction of mortality in patients with coronavirus disease 2019 (COVID-19) is a key to improving the clinical outcomes, considering that the COVID-19 pandemic has led to the collapse of healthcare systems in many regions worldwide. This study aimed to identify the factors associated with COVID-19 mortality and to develop a nomogram for predicting mortality using clinical parameters and underlying diseases. Methods: This study was performed in 5,626 patients with confirmed COVID-19 between February 1 and April 30, 2020 in South Korea. A Cox proportional hazards model and logistic regression model were used to construct a nomogram for predicting 30-day and 60-day survival probabilities and overall mortality, respectively in the train set. Calibration and discrimination were performed to validate the nomograms in the test set. Results: Age ≥ 70 years, male, presence of fever and dyspnea at the time of COVID-19 diagnosis, and diabetes mellitus, cancer, or dementia as underling diseases were significantly related to 30-day and 60-day survival and mortality in COVID-19 patients. The nomogram showed good calibration for survival probabilities and mortality. In the train set, the areas under the curve (AUCs) for 30-day and 60-day survival was 0.914 and 0.954, respectively; the AUC for mortality of 0.959. In the test set, AUCs for 30-day and 60-day survival was 0.876 and 0.660, respectively, and that for mortality was 0.926. The online calculators can be found at https://koreastat.shinyapps.io/RiskofCOVID19/. Conclusion The prediction model could accurately predict COVID-19-related mortality; thus, it would be helpful for identifying the risk of mortality and establishing medical policies during the pandemic to improve the clinical outcomes.

PURPOSE: An epidemiologic study of childhood cancer would provide useful information on cancer etiology and development of management guidelines. MATERIALS AND METHODS: Data from the Korea National Cancer Incidence Database were used to examine the incidence and survival of cancer in patients aged 0-14 years. Patients were grouped according to the International Classification of Childhood Cancer, 3rd edition. Age-specific and age-standardized incidences per million and estimated annual percentage change (APC) were calculated by sex and age. Five-year relative survival was calculated for four periods from 1993 to 2011. RESULTS: The study comprised 15,113 patients with malignant neoplasms. Age-standardized incidence rates for all cancers were 134.9 per million children in 1999-2011 and 144.0 and 124.9 per million for males and females, respectively (M/F ratio, 1.2; p < 0.05). The highest incidences were observed for 'leukemias, myeloproliferative diseases, and myelodysplastic diseases' (group I) (46.4), 'central nervous system neoplasms' (group III) (18.3), and 'lymphomas and reticuloendothelial neoplasms' (group II) (13.4). Age-standardized incidence increased from 117.9 in 1999 to 155.3 in 2011, with an APC of 2.4% (95% confidence interval, 2.1 to 2.7). There was a significant increase of APC in 'neuroblastoma and other peripheral nervous cell tumors' (group IV) (5.6%) and 'other malignant epithelial neoplasms and malignant melanomas' (group XI) (5.6%). The 5-year relative survival rate for all childhood cancers improved significantly from 56.2% (1993-1995) to 78.2% (2007-2011) (males, 56.7% to 77.7%; females, 55.5% to 78.8%). CONCLUSION: This study provides reliable information on incidence and survival trends for childhood cancer in Korea.
Carcinoma ; Child ; Classification ; Epidemiologic Studies ; Female ; Humans ; Incidence* ; Korea* ; Male ; Nervous System ; Survival Rate

No abstract available.
Acne Vulgaris ; Allergens ; Dermatitis, Allergic Contact* ; Dermatitis, Contact ; Hospitals, University ; Incidence ; Korea* ; Mass Screening ; Merbromin ; Patch Tests ; Potassium ; Povidone ; Povidone-Iodine

BACKGROUND AND OBJECTIVES: Tetranychus urticae(TU) is a widely distributed parasitic mite found on fruit trees and green house flowers. A recent investigation demonstrated that TU inhalation causes allergic asthma even in non-farmers. We tried to evaluate skin reactivity and specific IgE sensitization to TU, identify IgE binding components, and evaluate allergenic rela- tionship with house dust mite(HDM). MATERIALS AND METHODS: We carried out skin prick test with TU in 1806 respiratory allergy patients over 1 year living in urban and rural areas. ELISA was performed for detection of specific IgE antibody. To evaluate the cross allergenicity between TU and HDM, ELISA inhibition test was carried out with two kinds of pooled sera ; serum pool A included patients' sera sensitized to both TU and HDM, and serum pool B included sera sensitized only to TU. To identify IgE binding components, SDS-PAGE followed by IgE-immunoblot were applied. RESULTS: 358 patients(19.8%) showed positive response(A/H > or = 2+) on skin prick test. Twelve patients showed isolated positive response to TU. Specific IgE was detected in sixty patients(54.5%) out of 110 sensitized patients. ELISA inhibition test using two sera pools (A and B) showed significant inhibitions by TU with minimal inhibitions by HDM. SDS-PAGE and IgE-immunoblot with patients' individual sera sensitized to both TU and HDM showed 10 IgE binding components (67kD, 29kD, 27kD, 10kD, 14kD, 39kD, 46kD, 35kD, 72kD, 77kD) and two(67kD and 29kD) were bound to IgE in more than 50% of sera tested. In patients' sera sensitized only to TU, nine IgE binding components(67kD, 10kD, 14kD, 29kD, 39kD, 46kD, 72kD, 77kD, 9kD) were found and two(67kD and 10kD) were bound to IgE in more than 50%. CONCLUSION: Of allergy patients visiting the Allergy Clinic, 19.8% were sensitized to TU and specific IgE was detected in 54.5% of them. No cross allergenicity was noted between TU and HDM. Eleven IgE binding components and three (67kD, 10kD and 29kD) major allergens were identified.
Allergens ; Asthma ; Dust ; Electrophoresis, Polyacrylamide Gel ; Enzyme-Linked Immunosorbent Assay ; Flowers ; Fruit ; Humans ; Hypersensitivity ; Immunoglobulin E* ; Inhalation ; Mites ; Pyroglyphidae ; Skin* ; Trees

We report the case in order to examine the effect of a mobile application program ("Diabetes & Nutrition") developed in 2011-2012 for self-management in patients with type 2 diabetes and to recommend important considerations when the mobile application program is developed. A 46-year-old man was newly diagnosed with type 2 diabetes in 2013 and had no complications. The height of the patient was 168 cm and the body weight was 75.6 kg. Nutrition education was conducted according to a medical prescription, and follow-up nutrition education was conducted after 3 and 6 months. After nutrition education, the patient was engaged in self-management using "Diabetes & Nutrition" program during 3 months. At 3 months, the body weight had decreased by 4.4 kg (from 75.6 to 71.2 kg), waist circumference by 5 cm (from 88 to 83 cm) and HbA1c level from 7.9% to 6.1%. Also at 3 months, the medication was reduced from from the dose of 850 mg to the dose of 500 mg metformin per twice a day. Since then, the patient did not continue to use the "Diabetes & Nutrition" because the level of blood glucose had stabilized, and the patient felt inconvenient and annoying to use the program. At 6 months, no significant change in the body weight and body composition was observed in comparison with those at 3 months. The present case demonstrates that the early use of "Diabetes & Nutrition" could be helpful for self-management of glycemic control in patients with type 2 diabetes. Developing self-management mobile application programs in the future will require strategies of how to promote continuous use of application program and self-management of type 2 diabetes.
Blood Glucose ; Body Composition ; Body Weight ; Cellular Phone* ; Diabetes Mellitus, Type 2 ; Education ; Follow-Up Studies ; Humans ; Metformin ; Middle Aged ; Mobile Applications ; Nutrition Therapy ; Prescriptions ; Self Care* ; Waist Circumference