2.Ischemic Stroke Caused by Spontaneous Subclavian Artery Dissection
Woochang CHUN ; Haein BAK ; Sangwon LEE ; Dan A OH ; Cindy W YOON
Journal of the Korean Neurological Association 2018;36(4):393-395
No abstract available.
Stroke
;
Subclavian Artery
3.The Relationship between Anti-Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease and the Rubella Virus.
Seok Jin CHOI ; Dan A OH ; Woochang CHUN ; Sung Min KIM
Journal of Clinical Neurology 2018;14(4):598-600
No abstract available.
Glycoproteins*
;
Oligodendroglia*
;
Rubella virus*
;
Rubella*
4.Development and Evaluation of a Laboratory Information System-Based Auto-Dilution and Manual Dilution Algorithm for Alpha-Fetoprotein Assay.
Tae Dong JEONG ; So Young KIM ; Woochang LEE ; Sail CHUN ; Won Ki MIN
Annals of Laboratory Medicine 2013;33(5):390-392
No abstract available.
*Algorithms
;
Automation
;
Clinical Laboratory Information Systems/*standards
;
Humans
;
Immunoassay/*methods
;
Indicator Dilution Techniques
;
alpha-Fetoproteins/*analysis
5.Installation of Network-Connected Point-of-Care Blood Glucose Meters.
Sung Hee OH ; Tae Dong JEONG ; Woochang LEE ; Sail CHUN ; Won Ki MIN
Journal of Laboratory Medicine and Quality Assurance 2013;35(2):138-142
Point-of-care (POC) testing is desirable because of both the ease with which it can be administered and its short turnaround time. However, because standard POC devices cannot transmit test results automatically to a laboratory information system (LIS), each result must be recorded by hand. This inconvenience not only increases the possibility of clerical errors, but also limits the proper use of test results. If POC test results are not saved in the LIS, it is hard to either monitor patients' health trends or to quality control (QC) the test results. In this paper, we describe how we have solved these problems by connecting 250 POC blood glucose test devices to the LIS via a local area network (LAN). After connecting the POC devices (we used the Accu-Chek Inform II; Roche Diagnostics, Germany) to a manufacturer-provided POC data management system (Roche's Cobas IT 1000; Roche Diagnostics), we developed our own interface program for delivering data from the Cobas IT 1000 system to the LIS. By installing a program to scan the identification barcode worn by patients on their wrists, network-connected POC devices enable users to omit extra ordering, receiving, and recording processes, and they also reduce the possibility of patient misidentification. Such a system also provides an effective way for physicians to follow both the current and accumulated test results of patients. We note that performing QC on glucometers and the sending of data via LAN to the LIS are necessary steps to monitor both patients' results and the QC of those results.
Blood Glucose*
;
Clinical Laboratory Information Systems
;
Glucose
;
Hand
;
Humans
;
Local Area Networks
;
Point-of-Care Systems
;
Quality Control
;
Wrist
6.Performance Evaluation of Beckman Coulter AU5822 Automated Clinical Chemistry Analyzer.
Soo Kyung KIM ; Tae Dong JEONG ; Woochang LEE ; Sail CHUN ; Won Ki MIN
Laboratory Medicine Online 2014;4(2):77-84
BACKGROUND: AU5822 Automated Clinical Chemistry Analyzer (Beckman Coulter, USA) is a fully automated analytical platform designed for the analysis of general chemistry, specific serologic proteins, therapeutic drug monitoring, and drug abuse testing. AU5822 is a high-throughput system that can process up to 5,800 tests per hour and is easy to maintain. In this study, we evaluated the performance of AU5822 on 31 analytes. METHODS: The precision, linearity, correlation, and sample carryover of 31 analytes were evaluated in accordance with the guidelines of the Clinical Laboratory Standards Institute (CLSI). Lyphochek (Bio-Rad Laboratories Inc., USA), Liquichek (Bio-Rad Laboratories Inc.), Validate (Marine Standard Company, USA), and patient sera were used in the analysis. For the correlation study, we carried out a comparison of AU5822 and Cobas 8000 Modular Analyzer (Roche, Switzerland). RESULTS: The coefficients of variation of all samples showed values below 5%. The coefficient of determination (R2) was > or =0.99, with linearity in the clinically important range. The comparison with Cobas 8000 showed a good correlation, with a correlation coefficient of >0.975 for all of the analytes, excluding sodium that had a correlation coefficient of 0.9641. The test values of percentage sample carryover were less than 0.89%. CONCLUSIONS: AU5822 performed well in terms of precision, linearity, comparison, and sample carryover in the established assays for 31 analytes. Therefore, Beckman Coulter AU5822 Automated Clinical Chemistry Analyzer is expected to be useful for routine chemistry analysis in hospitals with large test volumes.
Chemistry
;
Chemistry, Clinical*
;
Drug Monitoring
;
Humans
;
Sodium
;
Statistics as Topic
;
Substance Abuse Detection
7.Cholestasis Causes Discrepancy in HDL-Cholesterol Levels Measured Using Various Methods.
Sollip KIM ; Sail CHUN ; Woochang LEE ; Ghi Su KIM ; Won Ki MIN
Laboratory Medicine Online 2012;2(3):174-178
Herein, we report a case in which cholestasis caused discrepancy in high-density lipoprotein (HDL)-cholesterol levels measured using various methods. The discrepancy in HDL-cholesterol level originated from the abnormal increase in the level of an unusual lipoprotein, apo E-rich HDL, in the patient's serum. An abnormal slow alpha-migrating lipoprotein was observed on agarose gel electrophoresis, and an abnormal large-sized HDL was observed in a lipoprotein subfraction study. The level of apolipoprotein E was elevated.
Apolipoproteins
;
Cholestasis
;
Electrophoresis, Agar Gel
;
Lipoproteins
8.Cholestasis Causes Discrepancy in HDL-Cholesterol Levels Measured Using Various Methods.
Sollip KIM ; Sail CHUN ; Woochang LEE ; Ghi Su KIM ; Won Ki MIN
Laboratory Medicine Online 2012;2(3):174-178
Herein, we report a case in which cholestasis caused discrepancy in high-density lipoprotein (HDL)-cholesterol levels measured using various methods. The discrepancy in HDL-cholesterol level originated from the abnormal increase in the level of an unusual lipoprotein, apo E-rich HDL, in the patient's serum. An abnormal slow alpha-migrating lipoprotein was observed on agarose gel electrophoresis, and an abnormal large-sized HDL was observed in a lipoprotein subfraction study. The level of apolipoprotein E was elevated.
Apolipoproteins
;
Cholestasis
;
Electrophoresis, Agar Gel
;
Lipoproteins
9.Performance Evaluation of the Elecsys Neuron-Specific Enolase Assay.
Soo Kyung KIM ; Tae Dong JEONG ; Woochang LEE ; Sail CHUN ; Won Ki MIN
Laboratory Medicine Online 2015;5(2):63-68
BACKGROUND: Neuron-specific enolase (NSE) is an enzyme specifically found in neurons and neuroendocrine tissue. It is a common marker for small cell lung cancer diagnosis and is also useful as a predictor of brain damage. This study evaluates the performance of Elecsys NSE (Roche Diagnostics, Switzerland), an electrochemiluminescent immunoassay. METHODS: The precision, linearity, limit of detection, and reference interval of the Elecsys NSE, as well as the correlation between Elecsys NSE and ELSA-NSE (Cis-Bio International, France) were evaluated in accordance with the Clinical Laboratory Standards Institute (CLSI) guidelines. PreciControl Tumor Marker (Roche Diagnostics), patient sera, and sera from healthy individuals were used for the analysis. RESULTS: The measured coefficient of variation for the assay was below 3%, and it demonstrated linearity from 0.20 to 234.5 ng/mL. The detection limit was 0.032 ng/mL and the reference interval ranged from 0.05 to 16.3 ng/mL. Compared with the ELSA-NSE assay, the correlation coefficient was 0.9128. CONCLUSIONS: The Elecsys assay showed suitable precision, linearity, limit of detection and reference range for clinical laboratory use; however, the correlation coefficient of Elecsys NSE as compared to ELSA-NSE was below 0.975. This result may be associated with the use of different monoclonal antibodies in the two different NSE assays. Elecsys NSE demonstrated a high sensitivity without the use of radioactive reagents; therefore, Elecsys NSE will be quite useful for NSE analysis in the clinical laboratory setting.
Antibodies, Monoclonal
;
Brain
;
Diagnosis
;
Humans
;
Immunoassay
;
Indicators and Reagents
;
Limit of Detection
;
Neurons
;
Phosphopyruvate Hydratase*
;
Reference Values
;
Small Cell Lung Carcinoma
10.Performance Evaluation of the Elecsys Neuron-Specific Enolase Assay.
Soo Kyung KIM ; Tae Dong JEONG ; Woochang LEE ; Sail CHUN ; Won Ki MIN
Laboratory Medicine Online 2015;5(2):63-68
BACKGROUND: Neuron-specific enolase (NSE) is an enzyme specifically found in neurons and neuroendocrine tissue. It is a common marker for small cell lung cancer diagnosis and is also useful as a predictor of brain damage. This study evaluates the performance of Elecsys NSE (Roche Diagnostics, Switzerland), an electrochemiluminescent immunoassay. METHODS: The precision, linearity, limit of detection, and reference interval of the Elecsys NSE, as well as the correlation between Elecsys NSE and ELSA-NSE (Cis-Bio International, France) were evaluated in accordance with the Clinical Laboratory Standards Institute (CLSI) guidelines. PreciControl Tumor Marker (Roche Diagnostics), patient sera, and sera from healthy individuals were used for the analysis. RESULTS: The measured coefficient of variation for the assay was below 3%, and it demonstrated linearity from 0.20 to 234.5 ng/mL. The detection limit was 0.032 ng/mL and the reference interval ranged from 0.05 to 16.3 ng/mL. Compared with the ELSA-NSE assay, the correlation coefficient was 0.9128. CONCLUSIONS: The Elecsys assay showed suitable precision, linearity, limit of detection and reference range for clinical laboratory use; however, the correlation coefficient of Elecsys NSE as compared to ELSA-NSE was below 0.975. This result may be associated with the use of different monoclonal antibodies in the two different NSE assays. Elecsys NSE demonstrated a high sensitivity without the use of radioactive reagents; therefore, Elecsys NSE will be quite useful for NSE analysis in the clinical laboratory setting.
Antibodies, Monoclonal
;
Brain
;
Diagnosis
;
Humans
;
Immunoassay
;
Indicators and Reagents
;
Limit of Detection
;
Neurons
;
Phosphopyruvate Hydratase*
;
Reference Values
;
Small Cell Lung Carcinoma