ABSTRACT
Background@#The objective of this study was to determine whether manually performed calibration and quality control (QC) processes could be replaced with an automated laboratory system when installed analyzers fail to provide automated calibration and QC functions. @*Methods@#Alanine aminotransferase (ALT), total cholesterol (TC), creatinine (Cr), direct bilirubin (DB), and lipase (Lip) items were used as analytes. We prepared pooled serum samples at 10 levels for each test item and divided them into two groups; five for the analytical measurement range (AMR) group and five for the medical decision point (MDP) group. Calibration and QC processes were performed for five consecutive days, and ALT, TC, Cr, DB, and Lip levels were measured in the two groups using automated and manual methods. Precision and the mean difference between the calibration and QC methods were evaluated using the reported values of the test items in each group. @*Results@#Repeatability and within-laboratory coefficients of variation (CVs) between the automated system and the conventional manual system in the AMR group were similar. However, the mean reported values for test items were significantly different between the two systems. In the MDP group, repeatability and within-laboratory CVs were better with the automation system. All calibration and QC processes were successfully implemented with the Aptio total laboratory automation system. @*Conclusion@#The Aptio total laboratory automation system could be applied to routine practice to improve precision and efficiency.
ABSTRACT
Purpose@#Obesity and a high-fat diet (HFD) are risk factors for colorectal cancer. We have previously shown that luteolin (LUT) supplementation in HFD-fed mice markedly inhibits tumor development in chemically induced colon carcinogenesis. In this study, we evaluated the anticancer effect of LUT in the inhibition of cell proliferation in HFD-fed obese mice and HT-29 human colorectal adenocarcinoma cells grown in an adipocyte-derived medium. @*Methods@#C57BL/6 mice were fed a normal diet (ND, 11.69% fat out of total calories consumed, n = 10), HFD (40% fat out of total calories consumed, n = 10), HFD with 0.0025% LUT (n = 10), and HFD with 0.005% LUT (n = 10) and were subjected to azoxymethanedextran sulfate sodium chemical colon carcinogenesis. All mice were fed the experimental diet for 11 weeks. 3T3-L1 preadipocytes and HT-29 cells were treated with various doses of LUT in an adipocyte-conditioned medium (Ad-CM). @*Results@#The weekly body weight changes in the LUT groups were similar to those in the HFD group; however, the survival rates of the LUT group were higher than those of the HFD group.Impaired crypt integrity of the colonic mucosa in the HFD group was observed to be restored in the LUT group. The colonic expression of proliferating cell nuclear antigen and insulin-like growth factor 1 (IGF-1) receptors were suppressed by the LUT supplementation in the HFDfed mice. The LUT treatment (10, 20, and 40 μM) inhibited the proliferation and migration of HT-29 cells cultured in Ad-CM in a dose-dependent manner, as well as the differentiation of 3T3-L1 preadipocytes. @*Conclusion@#These results suggest that the anticancer effect of LUT is probably due to the inhibition of IGF-1 signaling and adipogenesis-related cell proliferation in colon cancer cells.
ABSTRACT
PURPOSE: The aim of this study was to explore how nursing diagnoses are made by undergraduate students of psychiatric unit in Korea. METHODS: Data were collected from case reports and analyzed based on NANDA (North American Nursing Diagnosis Association) nursing diagnoses and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) as reference terminology. RESULTS: The 30 different nursing diagnoses from 135 distinct nursing diagnosis statements were assessed after removing repetition of case studies from a of total of 1,140 statements of nursing diagnoses. The most frequently used NANDA diagnosis was "ineffective coping" The thirty nursing diagnoses were grouped under 10 out of the 13 NANDA domains. In addition, 98 related factors were classified into SNOMED CT hierarchies of Clinical Finding, Procedure, and Observable Entity. The content validity index for the mapping of nursing diagnoses was 0.97, indicating a relatively strong agreement. CONCLUSION: These results can help students to improve their knowledge and better formulate appropriate diagnoses. Using standardized terminology would improve competency of education and help to ratify the steps of the nursing process, especially nursing planning. Educational strategies that enhance diagnostic accuracy are recommended.