No abstract available.
Glycoproteins* ; Oligodendroglia* ; Rubella virus* ; Rubella*

No abstract available.
Stroke ; Subclavian Artery

No abstract available.
*Algorithms ; Automation ; Clinical Laboratory Information Systems/*standards ; Humans ; Immunoassay/*methods ; Indicator Dilution Techniques ; alpha-Fetoproteins/*analysis

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

No abstract available.
Drug Monitoring ; Sirolimus ; Tacrolimus

BACKGROUND: National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) is the guideline for detection evaluation, and treatment of high blood cholesterol in adults. The risk of coronary heart disease (CHD) is assessed by the presence of CHD risk equivalents and the number of risk factors. LDL-cholesterol is the goal of treatment for hyperlipidemia. Contents: The most common approach for determining LDL-cholesterol level in clinical laboratory is to calculate it based on Friedewald formula. For accurate risk assessment by the calculated LDL-cholesterol, good analytical performances of total cholesterol, HDL-cholesterol and triglyceride are prerequisite. Even if the analytical performance of these three analytes are within the acceptable criteria, pooled imprecision and bias of the calculated LDL-cholesterol could not meet the criteria for LDL-cholesterol. Even under conditions satisfying the requirements of Friedewald formula, the calculated LDL-cholesterol level was lower than the directly measured level and the difference was dependent on the level of triglyceride, LDL-cholesterol and total cholesterol. When evaluatingpatients with hyperlipidemia, Friedewald calculation may underestimate the risk for coronary heart disease which may lead to inappropriate treatment option. CONCLUSIONS: When evaluating patients with hyperlipidemia, direct measurement of LDL-cholesterol appears to be better than Friedewald calculation.
Adenosine Triphosphate ; Adult ; Bias (Epidemiology) ; Cholesterol ; Coronary Disease ; Humans ; Hyperlipidemias ; Lipoproteins ; Risk Assessment ; Risk Factors

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

BACKGROUND: We have evaluated the analytical performance of SureStep Flexx (Johnson and Johnson, USA) which can report the plasma equivalent glucose test results and be connected to the hospital information networks, following ISO15197 analytic procedure for glucometer for the first time. METHODS: Adopting the guidelines of ISO15197, we measured the precision of ten glucometers from their repeatability and intermediate precision, and determined the accuracies of the glucometer, comparing to those of GEM Premier 4000 (Instrumentation Laboratory, USA). In addition, the guidelines of CLSI EP9-A2 and EP6-A were applied to correlate between data of glucometer and those of laboratory reference method by TBA-200FR (Toshiba Medical Systems, Japan) and to examine its linearity of glucose concentrations measured by SureStep Flexx. We used the clinical specimens and commercial control materials. RESULTS: Repeatabilities and intermediate precisions of those glucometers were 4.0-7.3%, and 4.3-6.2%, respectively. When glucose levels are under 75 mg/dL, the difference between results of those meters and the reference values were within +/-6 mg/dL. However when glucose levels are over 75 mg/dL, those differences were within +/-12.7%. These results were acceptable for the ISO15197 criteria in all glucose concentrations. The glucose concentrations showed the clinically relevant linearity in the range from 36 mg/dL to 491 mg/dL. Moreover, Error Grid Analysis showed that all glucose results were in "zone A", which means that these values were clinically accurate. CONCLUSIONS: This study showed that SureStep Flexx can provide reliable results for patients and clinicians to manage the diabetes mellitus, satisfying the ISO15197 criteria.
Blood Glucose/*analysis ; Blood Glucose Self-Monitoring/*instrumentation/methods/*standards ; Diabetes Mellitus/blood/diagnosis ; Humans ; Quality Control ; Reference Values ; Reproducibility of Results

Invasive aspergillosis is one of rare causes of mortality for the immune-compromised patients. We present a case of invasive aspergillosis complicated by the occlusion of the internal carotid artery and cerebral infarction in a patient with diabetes mellitus. Although initial biopsy did not find the pathogen, the repeated attempts of sampling showed aspergillosis. Combination of surgical removal of necrotic tissue and voriconazole medication improved symptoms and reduced the burden of infection.
Aspergillosis* ; Biopsy ; Carotid Arteries ; Carotid Artery, Internal* ; Cerebral Infarction* ; Diabetes Mellitus ; Humans ; Mortality ; Voriconazole