Estimation, prevention, and quality control of carbon dioxide loss during aerobic sample processing.

1981 ◽  
Vol 27 (10) ◽  
pp. 1676-1681 ◽  
Author(s):  
Z L Bandi

Abstract We find that 2 to 6 mmol of carbon dioxide per liter (mean: 4.1 mmol/L) is lost during routine laboratory processing of patients' serum samples after centrifugation. Additional CO2 may be lost if evacuated blood-collection tubes are not filled completely during phlebotomy. More than 2 mmol of CO2 per liter is lost from samples stored in tightly stoppered tubes for 120 min if the tubes are less than half full. In extreme cases, 8 mmol of CO2 per liter may be lost from samples exposed to room air in open cups of automated micro-sample instruments. Clinically significant CO2 loss (greater than 2 mmol/L) before analysis is not detected by many laboratories because the generally accepted quality-control programs monitor only the very last step of the analytical process. A valid CO2 quality-control program should include samples with high as well as the generally used low pCO2 values. Alkalinization of serum and plasma samples with tert-butylamine prevents CO2 loss. Optimum tert-butylamine concentration, pH, and pCO2 were about 14 to 16 mmol/L, 9.0 to 9.3, and 0.4 to 1.5 mmHg (about 50 to 200 Pa).

1978 ◽  
Vol 24 (10) ◽  
pp. 1797-1800 ◽  
Author(s):  
Poul-Erik Paulev ◽  
Poul Solgaard ◽  
Jens Christian Tjell

Abstract Analysis for lead and cadmium in biological liquids (blood and urine) is difficult. Results of such analyses from five laboratories are compared for samples with known additions of lead and cadmium. The data, evaluated in terms of inter- and intralaboratory reproducibility and accuracy, suggest that laboratories should voluntarily participate in quality control programs. Users of routine laboratories are advised to use their own quality control program.


1993 ◽  
Vol 70 (04) ◽  
pp. 588-594 ◽  
Author(s):  
Lloyd E Chambless ◽  
Robert McMahon ◽  
Andrea Finch ◽  
Paul Sorlie ◽  
Gerardo Heiss ◽  
...  

SummaryMethods and results from the quality assurance program of the Atherosclerosis Risk in Communities (ARIC) Study regarding hemostasis variables are presented, following up previous reports in this journal on standardized procedures for blood collection and processing (7) and an organized plan for the performance of those procedures (8). Efforts were made to control for and assess all sources of variability, from venipuncture to laboratory analysis, including also local field center processing and sample shipping. The quality control program included (a) a standardized protocol for blood collection and processing; (b) training, certification, and annual recertification of field center personnel for blood collection and processing; (c) monitoring of fasting times, phlebotomy times, processing times, and shipping problems; (d) hemostatic laboratory internal quality control; (e) a replicate blood sample program; (f) an intraindividual variability study; and (g) continual monitoring of quality control and study participants’ data. This paper focused on items (c), (d), and (e). Measures of Variation, generally Standard deviations and coefficients of Variation, are estimated for replicate blood sampling and internal quality control data, for activated partial thromboplastin time, fibrinogen, factor VII and VIII activity, von Willebrand factor, antithrombin-III, and protein C. The results demonstrate that it is possible to reliably measure these hemostatic variables in a large multicenter study.


2015 ◽  
Vol 60 (1) ◽  
pp. 632-636 ◽  
Author(s):  
Maria Siopi ◽  
Efthymios Neroutsos ◽  
Kalliopi Zisaki ◽  
Maria Gamaletsou ◽  
Maria Pirounaki ◽  
...  

ABSTRACTVoriconazole levels were determined with high-performance liquid chromatography (HPLC) and a microbiological agar diffusion assay using aCandida parapsilosisisolate in 103 serum samples from an HPLC-tested external quality control program (n= 39), 21 patients receiving voriconazole monotherapy (n= 39), and 7 patients receiving combination therapy (n= 25). The results of the bioassay were correlated with the results obtained from the external quality control program samples and with the HPLC results in sera from patients on voriconazole monotherapy and on combination therapy with an echinocandin (Spearman's rank correlation coefficient [rs], > 0.93; mean ± standard error of the mean [SEM] % difference, <12% ± 3.8%).


1978 ◽  
Vol 24 (10) ◽  
pp. 1997-1800
Author(s):  
P E Paulev ◽  
P Solgaard ◽  
J C Tjell

Abstract Analysis for lead and cadmium in biological liquids (blood and urine) is difficult. Results of such analyses from five laboratories are compared for samples with known additions of lead and cadmium. The data, evaluated in terms of inter- and intralaboratory reproducibility and accuracy, suggest that laboratories should voluntarily participate in quality control programs. Users of routine laboratories are advised to use their own quality control program.


2005 ◽  
Vol 51 (2) ◽  
pp. 424-433 ◽  
Author(s):  
Raffick AR Bowen ◽  
Yung Chan ◽  
Joshua Cohen ◽  
Nadja N Rehak ◽  
Glen L Hortin ◽  
...  

Abstract Background: Increased total triiodothyronine (TT3) assay results in apparently euthyroid patients triggered an investigation of the effect of blood collection tubes on serum TT3 and other laboratory assays. Methods: We examined potential assay interference for three types of tubes: plastic Greiner Bio-One™ Vacuette™; glass Becton Dickinson (BD) Vacutainer™; and plastic BD Vacutainer SST™ tubes. Serum samples from apparently healthy volunteers (age range, 30–60 years; 15 males and 34 females) were collected in different tube types and analyzed in 17 immunoassays (n = 49), 30 clinical chemistry tests (n = 20), and 33 immunology assays (n = 15). Tube effects were also examined by adding pooled serum to different tube types. Results: TT3 values, when measured by the IMMULITE™ 2000 but not the AxSYM™ analyzer, were significantly higher (P &lt;0.0001) for SST (2.81 nmol/L) than either glass (2.15 nmol/L) or Vacuette (2.24 nmol/L) tubes. The effect was large enough to substantially shift the distribution of patient values, increasing the percentage of values above the reference interval from 11.3% to 35.8%. The degree of interference from SST tubes on TT3 differed among various tube lots and could be attributed to a tube additive shared by other plastic tubes. Results from several other tests statistically differed among tube types, but differences were not considered to be clinically significant. Conclusions: Assay interferences from blood collection tubes represent challenges to clinical laboratories because they are not detected by the usual quality-control or proficiency testing programs. Laboratories can, however, address this problem by monitoring distribution of patients’ results.


2016 ◽  
Vol 33 (1) ◽  
pp. 3-6
Author(s):  
Nasreen Chowdhury ◽  
Md Ibrahim ◽  
Md Aminul Haque Khan

Introduction: In our country, very few of clinical laboratories are running proper quality control program and to the best of our knowledge the preanalytical, analytical, and postanalytical rates of laboratory errors have not been studied extensively. In this study we evaluated the preanalytical, analytical, and postanalytical components of laboratory errors in 3,200 consecutive specimens of a clinical chemistry laboratory in a tertiary hospital for measurement of different analyte concentrations in plasma or serum. Materials and methods: This study was conducted during the period from June 2009 to July 2010 on 3,200 specimens. Analytical errors were detected by repeat analysis of primary sample and by checking quality control. Results: The numbers of preanalytical, analytical and postanalytical errors were 23, 14 and 76 respectively among 32000 tests that we have done on 3,200 specimens (average 10 tests per specimen). Moreover, the causes of errors were analyzed and it was found that preanalytical errors were mostly due to specimen drawn distal to IV infusion, specimen for potassium first drawn into GREY tube (containing sodium fluoride and K EDTA) and then transferred into GREEN tube, long tourniquet time and underfilling of blood collection tube. The analytical errors were due to random and systemic errors and postanalytical errors were due to transcription errors. Conclusion: Results of our study suggest that errors mostly occur in the postanalytical part of testing and they are due to transcription errors. To reduce the laboratory errors we suggest introduction of Laboratory Information System (LIS) of the clinical laboratories connected with Hospital Management System along with stringent quality control program in preanalytical, analytical and postanalytical stages.J Bangladesh Coll Phys Surg 2015; 33(1): 3-6


1998 ◽  
Vol 55 (spe) ◽  
pp. 34-38 ◽  
Author(s):  
S. M. Cicero

An efficient quality control program should lead to the production of high quality seeds. Consequently, a series of technical and administrative procedures must be adopted in a way that does not compromise this objective. Considering that, in applied terms, external control becomes less important as internal control programs advance technologically, this work emphasizes the principle factors that should be considered in the implantation of a seed quality control program, such as: work groups, physical structure and procedures to initiate the program.


Author(s):  
Jung Keun Choi ◽  
Mi A Son ◽  
Hyun Kyung Kim ◽  
Domyung Paek ◽  
Byung Soon Choi

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