BACKGROUND: We evaluated three commercially available vitamin D assays to evaluate and compare the correlation and accuracy among them. METHODS: Vitamin D was measured in 71 patient samples using the Architect 25-OH vitamin D assay (Abbott), the ADVIA Centaur vitamin D total assay (Siemens), and the LIAISON 25 OH vitamin D total assay (Diasorin). The evaluation made use of both patient samples and standard reference material, SRM 972. To analyze correlations and differences, Pearson's correlation coefficients and paired sample t-tests were performed. RESULTS: Correlations among the three evaluated assays showed strong positive linear relationships (correlations among Siemens and DiaSorin, DiaSorin and Abbott, Abbott and Siemens: r=0.935, r=0.927, r=0.909, respectively). Mean (SD) vitamin D values on Siemens, Abbott, and DiaSorin assays in the 71 patient samples were 23.09 (10.41), 16.75 (11.26), and 16.76 (9.32), respectively. Results for the Siemens assay were significantly different from the other two methods (P<0.001). Target values for SRM 972 level 1, 2, 3, and 4 were 23.9, 14.0, 44.9, and 35.4, respectively. The Abbott, Siemens, and Diasorin assay values were closest to the target values in level 1, levels 2 and 3, and level 4, respectively. CONCLUSIONS: Correlations among vitamin D assays were good; however, the mean values of the Siemens assay were significantly higher than those of DiaSorin or Abbott. We found significant differences in vitamin D levels and discrepancies between patient samples and SRM 972 samples, which should be considered during use in a clinical setting.
Humans ; Immunoassay ; Vitamin D* ; Vitamins*

OBJECTIVES: Medical students sometimes do not receive proper feedback from their instructors. This study evaluated a newly developed automated and personalized real-time feedback system intended to address this issue. METHODS: Third- and fourth-year medical students participated in quizzes focusing on 17 learning objectives and a five-scale survey that queried their prior knowledge related to blood transfusions. Immediately after completing the quizzes, the students received automated and personalized, real-time feedback and were instructed to take part in self-directed learning. This activity was followed by a final quiz. After completion of the final quiz, the students responded to the five-scale survey that probed the usefulness of and satisfaction with the automated, personalized, real-time feedback system. RESULTS: Eighty students took part in this study. The third-year group had a higher score for prior knowledge and also on the first quiz (P = 0.008, P = 0.046, respectively). There was no significant difference in final quiz scores between the third- and fourth-year groups (P = 0.633). The scores for usefulness of and satisfaction with the automated, real-time feedback system were 4.45 and 4.34, and 4.55 and 4.40 in the third- and fourth-year students, respectively. CONCLUSIONS: The automated, personalized, real-time feedback system provided timely and effective feedback for medical students and was helpful for their self-directed learning.
Blood Transfusion ; Humans ; Learning* ; Students, Medical*

Background: We investigated how quiz activities can improve summative assessment outcomes by analyzing the relationship between them. Methods: We used 217 first-year medical students’ medical informatics data from 3 consecutive years. We analyzed summative assessment outcomes between quiz completion and incompletion groups, one-time and multiple-time quiz learning groups, and three combined comparisons between subgroups of quiz learning activity frequencies: 1 versus 2, 3, 4, and 6 (group 1), 1 and 2 versus 3, 4, and 6 (group 2), and 1, 2, and 3 versus 4 and 6 (group 3). We then analyzed correlations between the final quiz scores and summative assessment outcomes. Results: The summative assessment means for students who completed quizzes and those who did not were 87.16±8.73 and 83.22±8.31, respectively (p=0.001). The means for the one-time and multiple-time quiz learning groups were 86.54±8.94 and 88.71±8.10, respectively (p=0.223). The means for combined subgroups were not significantly different between groups (p>0.05), although a statistically significant increasing trend was found from groups 1 to 3 (0.223>0.203>0.075 using the t-test and 0.225>0.150>0.067 using the Mann-Whitney test, respectively). Summative assessment scores were not significantly correlated with quiz scores (r=0.115, p=0.213). Conclusions Quizzes helped students who used self-directed learning obtain better summative assessment outcomes. Formative quizzes presumably did not provide students with direct knowledge, but showed them their weak points and motivated them to work on areas where their knowledge was insufficient.

No abstract available.
Cell Line* ; Urinary Bladder Neoplasms* ; Urinary Bladder*

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.

Various learning management systems (LMSs) are available to facilitate the development, management, and distribution of digital resources for both face-to-face and online instruction. In recent decades, these methods have shown potential for greater efficiency compared to traditional "chalk and talk" approaches. Additionally, they have paved the way for the establishment of ubiquitous learning environments, marking a new era in education. In a trend accelerated by the coronavirus disease 2019 pandemic, LMSs have been increasingly adopted to overcome the restrictions inherent to in-person education. In medical education, LMSs such as Moodle, Canvas, Blackboard Learn, and others have been introduced and used to support teaching, learning, and assessment activities. Of these, Moodle stands out as the most popular choice for many medical schools and institutions, primarily due to its flexibility, functionality, and user-friendliness. The learning environment is gradually transforming from traditional in-person teaching to a hybrid educational approach, driven by the need to fulfill diverse educational demands. Numerous research studies have examined the usability of Moodle in medical education, demonstrating its effectiveness in addressing challenges related to adaptive personalized learning, collaborative learning, blended learning, and more. Consequently, Moodle has emerged as a valuable solution for medical educators seeking a versatile and robust platform to enhance their teaching methodologies. The present review focuses on the practical utilization of Moodle in medical education and the advantages it offers to this field.

Background: We sought to compare the performance of three commercially available automated urine sediment analyzers that represent the current urine sediment analysis technology. Methods: A total of 232 patient samples were analyzed using manual microscopy and three automated analyzers: IRIS Iq200 (Beckman Coulter, USA), UF-1000i (Sysmex, Japan), and Cobas u701 (Roche, Switzerland). We analyzed precision, linearity, carry-over, concordance rate, and agreement between the three analyzers and manual microscopy. Results: The repeatability and within-laboratory precision showed results similar to those of previous studies. All analyzers showed excellent linearity. The carry-over rates were within 1%. The correlation coefficient (r) between the three analyzers and manual microscopy was good. Regarding red blood cell (RBC), the UF-1000i showed a better concordance rate (90.52%) with manual microscopy than the other two analyzers and the agreement was substantial for UF-1000i (κ=0.63) and IRIS Iq200 (κ=0.61). Regarding white blood cell (WBC), Cobas u701 showed the best concordance rate (96.55%) and the agreement was moderate for IRIS Iq200 (κ=0.57) and Cobas u701 (κ=0.56), and fair for UF-1000i (κ=0.47). Regarding epithelial cell (EPI), IRIS Iq200 showed the highest concordance rate (99.2%) and the agreement was moderate for IRIS Iq200 (κ=0.59) and Cobas u701 (κ=0.54), and fair for UF-1000i (κ=0.40). Conclusions IRIS Iq200 offered the best agreement with manual microscopy for WBC and EPI count, while UF-1000i showed a better agreement for RBC count. The agreement is insufficient for fully replacing the manual microscopy.

OBJECTIVES: The standard metrics used to monitor the progression of acute kidney injury (AKI) include markers such as serum creatinine, blood urea nitrogen, and estimated glomerular filtration rate (eGFR). Moreover, neutrophil gelatinase-associated lipocalin (NGAL) expression has been reported to modulate oxidative stress. METHODS: We aimed to evaluate the usefulness of serum NGAL levels for monitoring renal function after radical nephrectomy (RN). We prospectively collected data from 30 patients who underwent RN. We analyzed serum NGAL and creatinine at 6 time points: preoperative day 1, right after surgery, 6 hours after surgery, postoperative day (POD) 1, POD 3, and POD 5. We compared these measurements according to the eGFR values (classified as chronic kidney disease stage III; CKD III or not) using data obtained 3 months after surgery. RESULTS: The mean age was 65.5 years (range, 45–77 years), and the male-to-female ratio was 2:1. At the last follow-up examination, there were 12 patients (40%) with CKD III. Using receiver operating characteristic analysis, we found that serum creatinine on POD 5 (area under the curve [AUC], 0.887; P= 0.000) and NGAL at 6 hours after LRN (AUC, 0.743, P= 0.026) were significant predictors of CKD III. The development of CKD III after LRN was associated with the serum creatinine level on POD 5 and the NGAL at 6 hours after surgery. CONCLUSIONS: Compared to serum creatinine, serum NGAL enabled earlier prediction of postoperative CKD III. Therefore, serum NGAL measured 6 hours after surgery could be a useful marker for managing patients after RN.
Acute Kidney Injury ; Blood Urea Nitrogen ; Creatinine ; Early Diagnosis* ; Follow-Up Studies ; Glomerular Filtration Rate ; Humans ; Kidney ; Lipocalins* ; Nephrectomy* ; Neutrophils* ; Oxidative Stress ; Prospective Studies ; Renal Insufficiency, Chronic ; ROC Curve

Background: We sought to compare the performance of three commercially available automated urine sediment analyzers that represent the current urine sediment analysis technology. Methods: A total of 232 patient samples were analyzed using manual microscopy and three automated analyzers: IRIS Iq200 (Beckman Coulter, USA), UF-1000i (Sysmex, Japan), and Cobas u701 (Roche, Switzerland). We analyzed precision, linearity, carry-over, concordance rate, and agreement between the three analyzers and manual microscopy. Results: The repeatability and within-laboratory precision showed results similar to those of previous studies. All analyzers showed excellent linearity. The carry-over rates were within 1%. The correlation coefficient (r) between the three analyzers and manual microscopy was good. Regarding red blood cell (RBC), the UF-1000i showed a better concordance rate (90.52%) with manual microscopy than the other two analyzers and the agreement was substantial for UF-1000i (κ=0.63) and IRIS Iq200 (κ=0.61). Regarding white blood cell (WBC), Cobas u701 showed the best concordance rate (96.55%) and the agreement was moderate for IRIS Iq200 (κ=0.57) and Cobas u701 (κ=0.56), and fair for UF-1000i (κ=0.47). Regarding epithelial cell (EPI), IRIS Iq200 showed the highest concordance rate (99.2%) and the agreement was moderate for IRIS Iq200 (κ=0.59) and Cobas u701 (κ=0.54), and fair for UF-1000i (κ=0.40). Conclusions IRIS Iq200 offered the best agreement with manual microscopy for WBC and EPI count, while UF-1000i showed a better agreement for RBC count. The agreement is insufficient for fully replacing the manual microscopy.