Literature DB >> 29794250

Blood sample quality.

Giuseppe Lippi1, Alexander von Meyer2, Janne Cadamuro3, Ana-Maria Simundic4.   

Abstract

Several lines of evidence now confirm that the vast majority of errors in laboratory medicine occur in the extra-analytical phases of the total testing processing, especially in the preanalytical phase. Most importantly, the collection of unsuitable specimens for testing (either due to inappropriate volume or quality) is by far the most frequent source of all laboratory errors, thus calling for urgent strategies for improving blood sample quality and managing data potentially generated measuring unsuitable specimens. A comprehensive overview of scientific literature leads us to conclude that hemolyzed samples are the most frequent cause of specimen non-conformity in clinical laboratories (40-70%), followed by insufficient or inappropriate sample volume (10-20%), biological samples collected in the wrong container (5-15%) and undue clotting (5-10%). Less frequent causes of impaired sample quality include contamination by infusion fluids (i.e. most often saline or glucose solutions), cross-contamination of blood tubes additives, inappropriate sample storage conditions or repeated freezing-thawing cycles. Therefore, this article is aimed to summarize the current evidence about the most frequent types of unsuitable blood samples, along with tentative recommendations on how to prevent or manage these preanalytical non-conformities.

Entities:  

Keywords:  blood samples; errors; hemolysis; laboratory medicine; quality

Mesh:

Year:  2019        PMID: 29794250     DOI: 10.1515/dx-2018-0018

Source DB:  PubMed          Journal:  Diagnosis (Berl)        ISSN: 2194-802X


  6 in total

1.  Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples.

Authors:  Kamil Taha Uçar; Abdulkadir Çat; Alper Gümüş; Nilhan Nurlu
Journal:  J Med Biochem       Date:  2022-02-02       Impact factor: 3.402

2.  The effect of hemolysis on quality control metrics for noninvasive prenatal testing.

Authors:  Yaya Guo; Dandan Yu; Kaisu Zhou; Jie Wang; Dongzhu Lei; Zhenpeng Xu; Weijiang Tang; Miaofeng Wu; Xingxing Fang; Jiankun Shen; Zhiyu Peng; Jiale Xiang
Journal:  BMC Med Genomics       Date:  2022-06-04       Impact factor: 3.622

3.  Quality improvement project: Reducing non-conformities of the samples for haemostasis testing in a secondary healthcare centre through the nurses' education in phlebotomy.

Authors:  Patricija Banković Radovanović
Journal:  Biochem Med (Zagreb)       Date:  2020-06-15       Impact factor: 2.313

4.  Nurses' experiences of blood sample collection from children: a qualitative study from Swedish paediatric hospital care.

Authors:  Henrik Hjelmgren; Britt-Marie Ygge; Björn Nordlund; Nina Andersson
Journal:  BMC Nurs       Date:  2022-03-15

5.  Flushing of an intravenous catheter: a cause for unreliable laboratory results.

Authors:  Rutger C C Hengeveld; Maaike C Gerards; Bianca E Olofsen; Milan L Ridderikhof; Victor F H A Hakkenberg van Gaasbeek; Peter A Leenhouts; Edmée C van Dongen-Lases
Journal:  Biochem Med (Zagreb)       Date:  2019-08-05       Impact factor: 2.313

6.  Accuracy of the Data of Biochemical Parameters in Blood Collected Above the Infusion Insertion Site.

Authors:  Shotaro Koike; Shinsuke Sasaki; Rika Yano
Journal:  J Infus Nurs       Date:  2022 Mar-Apr 01
  6 in total

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