BACKGROUND: ABO blood grouping reagent verification is essential to ascertain safe blood transfusions. However, the research use of donated blood products has been hampered in Korea by the blood transfusion law and management policies. In this study, we developed cryopreserved red blood cell (RBC) panels utilizing the high glycerol method to verify the ABO and D blood grouping reagents. In addition, we evaluated the stability of ABO and D antigenicity. METHODS: Fresh blood was frozen by the high glycerol method, aliquoted and cryopreserved in 2 mL cryotubes. Twenty-four vials of bloods with types A (n=5), B (n=5), AB (n=4) and O (n=10) for ABO RBC panels, and eleven vials of blood types D positive (n=5), D negative (n=5) and D weak (n=1) for D RBC panels were established. Potency, avidity and specificity tests were carried out with four different commercial ABO and D blood grouping reagents. RESULTS: The potency of cryopreserved RBCs after thawing showed no statistical difference compared with pre-freezing RBCs. Avidity time measurements were 5 seconds in ABO blood and 20 seconds in D positive blood. Specificity test uniformly showed 100% specificity. When thawed RBCs were stored at 4degrees C for 7 days, the potency test measured at intervals of 2 days showed no variation. CONCLUSION: Cryopreserved RBC panels produced by the high glycerol method showed excellent results in stability test with reagents produced by manufacturers in Korea. Therefore, these panels can be utilized as a reliable method of verifying blood grouping reagents.
Blood Grouping and Crossmatching ; Blood Transfusion ; Erythrocytes ; Glycerol ; Indicators and Reagents ; Jurisprudence ; Korea ; Sensitivity and Specificity

In Korea, groundwater is main water source in livestock farms. Most dairy and cattle farms have constructed their own wells for human drinking and livestock farming. However, these private residential wells have not been controlled by government and also there was scant study about livestock drinking water quality. Therefore this study was to monitor of the livestock farms' groundwater quality in Korea. Water samples were collected at 123 dairy and cattle farms and were analysed forty six substances with quality standard for drinking water approved by the Minister of Environment. Seventy eight (63.4%) of 123 samples failed to drinking water stand a test. The most frequent contaminants were nitrate-nitrogen and microbial. 22.8% (n = 28) of samples showed nitrate-N concentration of higher than 10 mg/L meant that can't be used drinking water for human and the Nitrate-N concentration analysed in the range of 0.2 to 61.2 mg/L. All of 78 failed to drinking samples had microbial problems, especially 5.7% (n = 7) of samples indicated water could be contaminated by feces. Other contaminants detected were zinc and evaporation residue. Especially detected zinc concentration (32 mg/L) was about ten times higher than standard of zinc (3 mg/L). Regression analysis indicated that groundwater pH did not influence to nitrate-N concentration but the hardness and chloride could affect to nitrate-N concentration in the groundwater. Most livestock farms were adjacent to crop farmland in Korea. This could cause contamination of groundwater with nitrate-N and pesticide that could accumulate livestock product. Moreover Heavy metal such as zinc and copper could be released from a corrosive plated water pipe in livestock farm. Put together, Korea livestock system is indoor, not pasture-based, hence livestock could be exposed to potential contaminated water consistently. Therefore on the basis of these data, appropriate livestock drinking water quality standards should be prepared to keep livestock healthy and their product safe. Further, livestock drinking water quality should be monitored continuously in suitable livestock drinking water standards.
Animals ; Cattle ; Copper ; Drinking ; Drinking Water ; Feces ; Groundwater ; Hardness ; Humans ; Hydrogen-Ion Concentration ; Korea ; Livestock ; Organothiophosphorus Compounds ; Water ; Zinc

PURPOSE: The objective of this study was to compare the effects of three different levels of xylobiose containing sucrose on glycemic indices based on oral glucose tolerance test (OGTT) and blood glucose response in healthy adults. METHODS: Healthy adults (six male and five female participants, n = 11) underwent 14~16 hr of fasting. Subsequently, all participants took 50 g of available carbohydrates from glucose, sucrose containing 7% xylobiose (XB 7), sucrose containing 10% xylobiose (XB 10), or sucrose containing 14% xylobiose (XB 14) every week on the same day for 8 weeks. Finger prick blood was taken before and 15, 30, 45, 60, 90, and 120 min after starting to eat. RESULTS: We observed reduction of the glycemic response to sucrose containing xylobiose. The glycemic indices of XB 7, XB 10, and XB 14 were 57.0, 53.6, and 49.7, respectively. The GI values of XB 7 were similar to those of foods with medium GI, and the GI values of XB 10 and XB 14 were similar to those of foods with low GI. The postprandial maximum blood glucose rise (Cmax) of XB 14 was the lowest among the test foods. XB 7, XB 10, and XB 14 showed significantly lower areas under the glucose curve (AUC) for 0~30 min, 0~60 min, 0~90 min and 0~120 min compared to glucose. CONCLUSION: The results of this study suggest that sucrose containing xylobiose has an acute suppressive effect on GI and postprandial maximum blood glucose rise. In addition, levels of xylobiose in sugar may allow more precise assessment of carbohydrate tolerance despite lower glycemic responses in a dose-dependent manner.
Adult* ; Blood Glucose* ; Carbohydrates ; Fasting ; Female ; Fingers ; Glucose ; Glucose Tolerance Test ; Glycemic Index* ; Humans ; Male ; Sucrose

Adenoid cystic carcinoma formerly called cylindroma is rare tracheal tumor. Characteristics of adenoid cystic carcinoma are infiltrative nature with local recurrence tendency and long natural course of the disease. Adenoid cystic carcinomas develop most commonly in the trachea. Primary resection and end-to-end anastomosis of the involved airway are treatment of choice. And postoperative radiation therapy might be useful, particularly when the surgical margins are not ample. We report two cases of adenoid cystic carcinoma of trachea diagnosed by flow-volume curve.
Adenoids* ; Carcinoma, Adenoid Cystic* ; Recurrence ; Trachea*

PURPOSE: To compare the extent to which three different levels of D-ribose in sugar reduce the glycemic index (GI) and blood glucose response in healthy adults. METHODS: Healthy adults (eight male and six female participants, n = 14) fasted for 14~16 h after eating the same dinner. Participants were then randomized to receive glucose, sucrose, sucrose containing 5% D-ribose (RB5), sucrose containing 10% D-ribose (RB10), or sucrose containing 14% D-ribose (RB14) every week on the same day for 10 weeks (repeating the sample twice). Blood samples were collected by finger prick before and 15, 30, 45, 60, 90, and 120 min after starting to eat. RESULTS: We observed a decreased glycemic response to sucrose containing D-ribose. GIs for sucrose, RB5, RB10, and RB14 were 67.39, 67.07, 47.57, and 45.62, respectively. GI values for sucrose and RB5 were similar to those for foods with a medium GI, and GI values for RB10 and RB14 were similar to those for foods with a low GI. The postprandial maximum blood glucose rise (Cmax) with RB14 was the lowest among the test foods. Cmax values for RB10 and RB14 were significantly lower than that for sucrose. CONCLUSION: The results of this study suggest that sucrose containing D-ribose has an acute suppressive effect on GI and Cmax. In addition, D-ribose active elements in sugar may be effective in preventing blood glucose spikes induced by sucrose intake.
Adult* ; Blood Glucose* ; Eating ; Female ; Fingers ; Glucose ; Glycemic Index* ; Humans ; Male ; Meals ; Ribose* ; Sucrose

Objective: Underconnectivity in the resting brain is not consistent in autism spectrum disorder (ASD). However, it is known that the functional connectivity of the default mode network is mainly decreased in childhood ASD. This study investigated the brain network topology as the changes in the connection strength and network efficiency in childhood ASD, including the early developmental stages. Methods: In this study, 31 ASD children aged 2–11 years were compared with 31 age and sex-matched children showing typical development. We explored the functional connectivity based on graph filtration by assessing the single linkage distance and global and nodal efficiencies using resting-state functional magnetic resonance imaging. The relationship between functional connectivity and clinical scores was also analyzed. Results: Underconnectivities within the posterior default mode network subregions and between the inferior parietal lobule and inferior frontal/superior temporal regions were observed in the ASD group. These areas significantly correlated with the clinical phenotypes. The global, local, and nodal network efficiencies were lower in children with ASD than in those with typical development. In the preschool-age children (2–6 years) with ASD, the anterior-posterior connectivity of the default mode network and cerebellar connectivity were reduced. Conclusion The observed topological reorganization, underconnectivity, and disrupted efficiency in the default mode network subregions and social function-related regions could be significant biomarkers of childhood ASD.

Purpose: This study assessed the validity of the hospital standardized mortality ratio (HSMR) risk-adjusted model by comparing models that include clinical information and the current model based on administrative information in South Korea. Materials and Methods: The data of 53976 inpatients were analyzed. The current HSMR risk-adjusted model (Model 1) adjusts for sex, age, health coverage, emergency hospitalization status, main diagnosis, surgery status, and Charlson Comorbidity Index (CCI) using administrative data. As candidate variables, among clinical information, the American Society of Anesthesiologists score, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, present on admission CCI, and cancer stage were collected. Surgery status, intensive care in the intensive care unit, and CCI were selected as proxy variables among administrative data. In-hospital death was defined as the dependent variable, and a logistic regression analysis was performed. The statistical performance of each model was compared using C-index values. Results: There was a strong correlation between variables in the administrative data and those in the medical records. The C-index of the existing model (Model 1) was 0.785; Model 2, which included all clinical data, had a higher C-index of 0.857. In Model 4, in which APACHE II and SAPS 3 were replaced with variables recorded in the administrative data from Model 2, the C-index further increased to 0.863. Conclusion The HSMR assessment model improved when clinical data were adjusted. Simultaneously, the validity of the evaluation method could be secured even if some of the clinical information was replaced with the information in the administrative data.

Purpose: This study assessed the validity of the hospital standardized mortality ratio (HSMR) risk-adjusted model by comparing models that include clinical information and the current model based on administrative information in South Korea. Materials and Methods: The data of 53976 inpatients were analyzed. The current HSMR risk-adjusted model (Model 1) adjusts for sex, age, health coverage, emergency hospitalization status, main diagnosis, surgery status, and Charlson Comorbidity Index (CCI) using administrative data. As candidate variables, among clinical information, the American Society of Anesthesiologists score, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, present on admission CCI, and cancer stage were collected. Surgery status, intensive care in the intensive care unit, and CCI were selected as proxy variables among administrative data. In-hospital death was defined as the dependent variable, and a logistic regression analysis was performed. The statistical performance of each model was compared using C-index values. Results: There was a strong correlation between variables in the administrative data and those in the medical records. The C-index of the existing model (Model 1) was 0.785; Model 2, which included all clinical data, had a higher C-index of 0.857. In Model 4, in which APACHE II and SAPS 3 were replaced with variables recorded in the administrative data from Model 2, the C-index further increased to 0.863. Conclusion The HSMR assessment model improved when clinical data were adjusted. Simultaneously, the validity of the evaluation method could be secured even if some of the clinical information was replaced with the information in the administrative data.

Purpose: This study assessed the validity of the hospital standardized mortality ratio (HSMR) risk-adjusted model by comparing models that include clinical information and the current model based on administrative information in South Korea. Materials and Methods: The data of 53976 inpatients were analyzed. The current HSMR risk-adjusted model (Model 1) adjusts for sex, age, health coverage, emergency hospitalization status, main diagnosis, surgery status, and Charlson Comorbidity Index (CCI) using administrative data. As candidate variables, among clinical information, the American Society of Anesthesiologists score, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, present on admission CCI, and cancer stage were collected. Surgery status, intensive care in the intensive care unit, and CCI were selected as proxy variables among administrative data. In-hospital death was defined as the dependent variable, and a logistic regression analysis was performed. The statistical performance of each model was compared using C-index values. Results: There was a strong correlation between variables in the administrative data and those in the medical records. The C-index of the existing model (Model 1) was 0.785; Model 2, which included all clinical data, had a higher C-index of 0.857. In Model 4, in which APACHE II and SAPS 3 were replaced with variables recorded in the administrative data from Model 2, the C-index further increased to 0.863. Conclusion The HSMR assessment model improved when clinical data were adjusted. Simultaneously, the validity of the evaluation method could be secured even if some of the clinical information was replaced with the information in the administrative data.

Purpose: This study assessed the validity of the hospital standardized mortality ratio (HSMR) risk-adjusted model by comparing models that include clinical information and the current model based on administrative information in South Korea. Materials and Methods: The data of 53976 inpatients were analyzed. The current HSMR risk-adjusted model (Model 1) adjusts for sex, age, health coverage, emergency hospitalization status, main diagnosis, surgery status, and Charlson Comorbidity Index (CCI) using administrative data. As candidate variables, among clinical information, the American Society of Anesthesiologists score, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, present on admission CCI, and cancer stage were collected. Surgery status, intensive care in the intensive care unit, and CCI were selected as proxy variables among administrative data. In-hospital death was defined as the dependent variable, and a logistic regression analysis was performed. The statistical performance of each model was compared using C-index values. Results: There was a strong correlation between variables in the administrative data and those in the medical records. The C-index of the existing model (Model 1) was 0.785; Model 2, which included all clinical data, had a higher C-index of 0.857. In Model 4, in which APACHE II and SAPS 3 were replaced with variables recorded in the administrative data from Model 2, the C-index further increased to 0.863. Conclusion The HSMR assessment model improved when clinical data were adjusted. Simultaneously, the validity of the evaluation method could be secured even if some of the clinical information was replaced with the information in the administrative data.