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Objective:To compare the results of three kinds of glucometers and automatic biochemistry analyzer for the detection of blood glucose level of finger capillary and vein blood, and adopt linear regression to analyze their relationship.Methods: 204 patients with or without diabetes were enrolled in this study. Their finger capillary and vein blood were detected by three kinds of glucose meters and automatic biochemistry analyzer, respectively. And these data were analyzed by using linear regression and pair-t-test.Results: The comparative results revealed that the order of correlation between every glucose meters with automatic biochemistry analyzer was Accuchek higher than GT-1920 and GT-1920 higher than One Touch when the range of hematocrit (Hct) value was in 35.1%-51.6%. The correlation of Hct between every glucose meter and automatic biochemistry analyzer when the range of Hct was 25.0%-35.0% was significant higher than that when the range was 35.1%-51.6% (t=2.19,P<0.05). For finger capillary blood, the bias of One Touch was largest, while for vein blood, the bias of GT-1920 and One Touch were better. Besides, the detected results of blood glucose both of GT-1920 and One Touch were significantly higher than automatic biochemistry analyzer(t=2.34,P<0.05).Conclusion: There were better correlation between every glucose meter and automatic biochemistry analyzer, respectively, and the correlations between them can be effected by Hct. While there were still certainly difference between them.
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Objective To investigate the comparability of K + ,Na+ and Cl- measurement between Cobas8000 analyzer and AU640 analyzer .Methods According to the EP9‐A2 document of the National Committee for Clinical Laboratory Standards ,the precision of AU640 analyzer for the detection of K + ,Na+ and Cl- was evaluated ,and the correlation between the detected results of the two analyzers were also analyzed .Results AU640 analyzer were with high precision for the detection of K + ,Na+ and Cl- ,in‐tra‐assay and inter‐assay coefficient of variation of which were both less than 2% .The correlation coefficients of the two analyzers were higher than 0 .975 .Conclusion Cobas8000 analyzer and AU640 analyzer might be with fine comparability for the detection of K+ 、Na+ and Cl- ,both of which could provide accurate detected results .
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Objective To compare the results of blood glucose detected by the POCT glucose meters and the automatic biochem‐ical analyzer ,and to periodically evaluate the reliability of the portable glucose meters .Methods 22 patients with fasting blood‐glu‐cose of 0 .88 - 30 .82 mmol/L were selected and the NaF anticoagulation whole blood was collected .Each sample were detected for 3 times .The mean value was taken for conducting the bias and correlation evaluation .Results The bias of 20 glucose meters was within ± 0 .2 and PT > 80% ,and the bias of 5 glucose meters ± 0 .2 in 2 - 6 concentration values .Conclusion The testing results of 20 glucose meters are identical with those detected by the biochemical analyzer and meet the accuracy standards stipulated by the Ministry of Public Health ,and 5 glucose meters have relatively big differences .
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Objective To verify and confirm the optical performance of the Olympus AU5400 Automatic Analyzer is satisfied for the professional requirements.Methods According to the Medical Standard of the People's Republic of China:Automatic chemistry analyzer(YY/T 0654-2008),the Analyzer Modular Ⅰand Ⅱ optical performance were measured to verify the stray light,the ab-sorption accuracy,linear range,stability and repeatability.Results The stray light absorption of tow modular was 4.789 4-5.158 9;The absorption accuracy of potassium dichromate standard solution (1-1)was (-0.002 1--0.024 7),and solution (1-2)was (-0.008 6--0.067 7);The D-value of stability that the highest absorption of standard solution (1-1)minus the lowest was 0.000 5-0.001 5;The CV% of repeatability for standard solution (1-2)was 0.02%-0.04%;Therof absorption linear was 0.999 6-0.999 9. Conclusion The optical performance of Olympus AU5400 Analyzer conforms to the standard of YY/T 0654-2008.
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Objective To compare the clinical value of automatic coagulometer and automatic biochemistry analyzer for the de-tection of antithrombin Ⅲ(AT-Ⅲ)in acute myocardial infarction and cirrhosis.Methods 55 cases of acute myocardial infarction and cirrhosis patients were investigated in the study,the healthy people was normal control.The concentration of AT-Ⅲwas detec-ted with automatic coagulometer and automatic biochemistry analyzer at the same time.Results The concentration of AT-Ⅲ detec-ted with automatic coagulometer was (251.2±58.5 )mg/L,(228.0 ±22.6)mg/L in acute myocardial infarction and cirrhosis pa-tients,the concentration of AT-Ⅲ detected with automatic biochemistry analysis was (255.6±54.3)mg/L,(230.3±23.1)mg/L in acute myocardial infarction and cirrhosis patients,and the concentration of AT-Ⅲwas significantly lower than that in normal control (P <0.05).The concentration of AT-Ⅲ detected with two detection methods in acute myocardial infarction patients was signifi-cantly lower than that in cirrhosis patients(P <0.05).There were significant difference between automatic coagulometer and auto-matic biochemistry analyzer for the detection of antithrombin Ⅲ(AT-Ⅲ).Conclusion The detection of AT-Ⅲ with automatic coag-ulometer and automatic biochemistry analyzer could diagnose and identify acute myocardial infarction and cirrhosis.
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This paper introduces the design of automatic biochemistry analyzer based on CAN field bus. The hardware and software of a single network node and several problems are narrated. Some related flow charts and source codes are also given. The involvement of CAN bus in the design of automatic biochemistry analyzer enhances the efficiency and the degree of automatization.
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72h), the average deviations are over 15 hours. The average deviations of Equation 2 are almost all above 10 hours. The average deviations of Equation 3 are the lowest of the three.Conclusion The [K~+] and [Mg~(2+)] in the vitreous humor rises while the PMI extends. There are correlations between the concentration of K~+ and Mg~(2+) in the vitreous humor and the PMI. For the estimation of PMI, we suggest that the equation with R2 lower than 0.98, or with high average deviations should not be used. It seems that multiple regression equation could increase the accuracy of PMI estimation.