ARIC Hemostasis Study - III. Ouality Control

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.

2016 ◽  
Vol 7 (2) ◽  
pp. 48
Author(s):  
Khushbu Suryaprakash Soni ◽  
Riddhiben Rajendrakumar Patel ◽  
Shailesh Manubhai Patel ◽  
Sarita Jagadishbhai Mangukia

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).


Author(s):  
R T P Jansen ◽  
A P Jansen

In a trial of the Netherlands coupled external/internal quality control program a control serum and an enzyme standard were analysed over a period of eight weeks, five times each week. Five enzymes were determined: alkaline phosphatase, creatine kinase, lactate dehydrogenase, alanine aminotransferase, and γ-glutamyltransferase. The measured values in the serum were converted to the standards. Those laboratories using the recommended methods also submitted their non-transformed serum values. The following standardisation techniques have been compared: ( a) no standardisation of methodology but use of enzyme standards; ( b) standardisation of methodology; ( c) standardisation of methodology combined with use of an enzyme standard. Results were submitted to analysis of variance. Standardisation of methodology did not yield smaller interlaboratory variation than the standardisation with enzyme standards. In this trial a combination of both standardisation techniques yielded generally better results. Results for γ-glutamyltransferase indicate that standardisation of substrate may be necessary apart from the use of an enzyme standard. The preparation of stable enzyme standards is stressed.


2012 ◽  
Vol 1 (10) ◽  
pp. 61
Author(s):  
Parveen Bansal

Laboratory testing is an important and integral part of the decision-making process and strongly influences medical diagnosis and therapies. Normally the extraneous results in a clinical report raise a doubt towards the quality assurance program of a laboratory. This communication is intended to highlight the potential use of previous reports of indoor patient in an indoor hospital laboratory as a tool for quality assurance. In this study approximately 10% of the doubtful reports were picked up randomly and the results were compared with the earlier reports of the patient retrieved from database. The study revealed that there was a significant reduction of more than 80% in the test repeats resulting in decrease in expenses on repeat tests (80%).There was a significant average reduction of time and human resource investment, decrease in the instrument working hours and increased workflow efficiency due to reduction in the test repeats. Moreover there was an increase in the confidence level of consultant towards quality control program and authenticity of the reports.


1977 ◽  
Author(s):  
C.A. van Dijk-Wierda ◽  
J. Hermans ◽  
E.A. Loeliger ◽  
J. Roos

The 50 laboratories of the Netherlands Federation of Thrombosis Services have participated since 1974 in a voluntary external and internal quality control program. The external program comprises a monthly distribution to the member laboratories of a series of artificially prepared control blood samples, two of which are identical. The overall variation of the coagulation times found were 10% (CV) in 1974 and 8% (CV) in 1975 and 1976. Performance improved rather abruptly at the beginning of 1975, after the application of a tight methodological standardization and improvement by the manufacturer of the thromboplastin preparation (Thrombotest) used by the great majority of the laboratories involved. The main source of variation wasfound to be random error in the Thrombotest determination, approximating 6%. interbatch variation of Thrombotest and inter-aliquot variation of control blood samples both do amount to approximately 3%.


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


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

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