scholarly journals Internal quality control in blood and component bank in a tertiary healthcare center in Northern India

2021 ◽  
Vol 6 (2) ◽  
pp. 115-118
Author(s):  
Kafil Akhtar ◽  
Radhika Arora ◽  
Umrah Malik ◽  
Ankita Parashar ◽  
Murad Ahmad ◽  
...  
Keyword(s):  
Quality Control ◽  
Factor Viii ◽  
Red Cells ◽  
Internal Quality Control ◽  
Internal Quality ◽  
Blood Component ◽  
Minimal Risk ◽  
Blood Components ◽  
The Mean ◽  
Rbc Count

Quality control describes steps taken by blood and component bank to ensure that tests are performed correctly. Primary goal of quality control is transfusion of safe quality of blood. It is to ensure availability of efficient supply of blood and blood components. Internal quality control is the backbone of quality assurance program. To analyze the internal quality control of blood components in modern blood banking as an indicator of our blood bank performance. An observational cross sectional study conducted at the Blood and Component Bank, JN Medical College and Hospital from 2018 to 2020. Each blood component was arbitrarily chosen during the study on monthly basis. Selection criteria was 1.0% of total collection or minimum 4 bags per month. Packed red cells were evaluated for hemoglobin, hematocrit, RBC count; platelet concentrates for pH, yield and culture; fresh frozen plasma and cryoprecipitate were evaluated for unit volume, factor VIII and fibrinogen concentration. The mean HCT of packed red cells was 65.75+7.42%, volume was 238+26.25ml, Hb was 20.5+0.15g/dL and RBC count of 5.89x10+0.30x10. The mean platelet yield was 5.7x10, pH was ≥6.8+0.175 and volume was 82.5+13.75ml; cultures were negative and swirling was present in all the platelet units tested. Mean factor VIII and fibrinogen levels were found to be 95.25 +7.37and 307.5+41.37gm/l for FFP respectively. Mean volume, PT and APTT were 215+32.5ml, 14.15+0.325 sec and 29.50+1.5 sec respectively. The quality control of blood components ensures the timely availability of a blood component of high quality with maximum efficacy and minimal risk to potential recipients.

scholarly journals Internal quality control of blood products: An experience from a tertiary care hospital blood bank from Southern Pakistan

2018 ◽  
Vol 10 (01) ◽  
pp. 064-067 ◽  
Author(s):  
Sadia Sultan ◽  
Hasan Abbas Zaheer ◽  
Usman Waheed ◽  
Mohammad Amjad Baig ◽  
Asma Rehan ◽  
...  
Keyword(s):  
Quality Control ◽  
Factor Viii ◽  
Blood Bank ◽  
International Standards ◽  
Internal Quality Control ◽  
Internal Quality ◽  
Minimal Risk ◽  
Care Hospital ◽  
Blood Products ◽  
The Mean

Abstract INTRODUCTION: Internal quality control (IQC) is the backbone of quality assurance program. In blood banking, the quality control of blood products ensures the timely availability of a blood component of high quality with maximum efficacy and minimal risk to potential recipients. The main objective of this study is to analyze the IQC of blood products as an indicator of our blood bank performance. METHODS: An observational cross-sectional study was conducted at the blood bank of Liaquat National Hospital and Medical College, from January 2014 to December 2015. A total of 100 units of each blood components were arbitrarily chosen during the study. Packed red cell units were evaluated for hematocrit (HCT); random platelet concentrates were evaluated for pH, yield, and culture; fresh frozen plasma (FFP) and cryoprecipitate (CP) were evaluated for unit volume, factor VIII, and fibrinogen concentrations. RESULTS: A total of 400 units were tested for IQC. The mean HCT of packed red cells was 69.5 ± 7.24, and in 98% units, it met the standard (<80% of HCT). The mean platelet yield was 8.8 ± 3.40 × 109/L and pH was ≥6.2 in 98% bags; cultures were negative in 97% of units tested. Mean factor VIII and fibrinogen levels were found to be 84.24 ± 15.01 and 247.17 ± 49.69 for FFP, respectively. For CP, mean factor VIII and fibrinogen level were found to be 178.75 ± 86.30 and 420.7 ± 75.32, respectively. CONCLUSION: The IQC of blood products at our blood bank is in overall compliance and met recommended international standards. Implementation of standard operating procedures, accomplishment of standard guidelines, proper documentation with regular audit, and staff competencies can improve the quality performance of the transfusion services.

Determining the adequate number of internal quality control levels: the example of coagulation factor VIII assay

2008 ◽  
Vol 19 (5) ◽  
pp. 433-437 ◽  
Author(s):  
Frédéric Sobas ◽  
Laurent Mazliak ◽  
Audrey Bellisario ◽  
Mathieu Lefranc ◽  
Anne Lienhart ◽  
...  
Keyword(s):  
Quality Control ◽  
Factor Viii ◽  
Coagulation Factor ◽  
Internal Quality Control ◽  
Coagulation Factor Viii ◽  
Internal Quality ◽  
Adequate Number

The between-run component of variation in internal quality control.

1989 ◽  
Vol 35 (7) ◽  
pp. 1416-1422 ◽  
Author(s):  
K Linnet
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Systematic Errors ◽  
Internal Quality Control ◽  
Internal Quality ◽  
Components Of Variance ◽  
Upper Limit ◽  
The Mean ◽  
Power Curves

Abstract Design of control charts for the mean, the within-run component of variance, and the ratio of between-run to within-run components of variance is outlined. The between-run component of variation is the main source of imprecision for analytes determined by an enzymo- or radioimmunoassay principle; accordingly, explicit control of this component is especially relevant for these types of analytes. Power curves for typical situations are presented. I also show that a between-run component of variation puts an upper limit on the achievable power towards systematic errors. Therefore, when the between-run component of variation exceeds the within-run component, use of no more than about four controls per run is reasonable at a given concentration.

scholarly journals The Evaluation of Analytical Performance of Immunoassay Tests by Using Six-Sigma Method

2017 ◽  
Vol 36 (4) ◽  
pp. 301-308 ◽  
Author(s):  
Rukiye Nar ◽  
Dilek Iren Emekli
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Clinical Chemistry ◽  
Quality Measurement ◽  
Analytical Performance ◽  
Internal Quality Control ◽  
Internal Quality ◽  
Variation Database ◽  
The Mean ◽  
Six Sigma Methodology

SummaryBackground: The Six-Sigma Methodology is a quality measurement method in order to evaluate the performance of the laboratory. In the present study, it is aimed to evaluate the analytical performance of our laboratory by using the internal quality control data of immunoassay tests and by calculating process sigma values. Methods: Biological variation database (BVD) are used for Total Allowable Error (TEa). Sigma values were determined from coefficient of variation (CV) and bias resulting from Internal Quality Control (IQC) results for 3 subsequent months. If the sigma values are ≥6, between 3 and 6, and <3, they are classified as »world-class«, »good« or »un - acceptable«, respectively. Results: A sigma value >6 was found for TPSA and TSH for the both levels of IQC for 3 months. When the sigma values were analyzed by calculating the mean of 3 months, folate, LH, PRL, TPSA, TSH and vitamin B12 were found >6. The mean sigma values of CA125, CA15-3, CA19-9, CEA, cortisol, ferritin, FSH, FT3, PTH and testosteron were >3 for 3-months. However, AFP, CA125 and FT4 produced sigma values <3 for varied months. Conclusion: When the analytical performance was evaluated according to Six-Sigma levels, it was generally found as good. It is possible to determine the test with high error probability by evaluating the fine sigma levels and the tests that must be quarded by a stringent quality control regime. In clinical chemistry laboratories, an appropriate quality control scheduling should be done for each test by using Six-Sigma Methodology.

scholarly journals Internal quality control status for BNP and NT-proBNP in China from 2014 to 2017

2018 ◽  
Vol 33 (1) ◽  
pp. e22643 ◽  
Author(s):  
Huizhen Sun ◽  
Wei Wang ◽  
Haijian Zhao ◽  
Chuanbao Zhang ◽  
Falin He ◽  
...  
Keyword(s):  
Quality Control ◽  
Internal Quality Control ◽  
Internal Quality
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