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Analysis of thicknesses of blood collection needle by scanning electron microscopy reveals wide heterogeneity

  • Giuseppe Lippi ORCID logo , Maksim Harbatsevich and Vera Zayats EMAIL logo
Published/Copyright: April 10, 2024
Diagnosis
From the journal Diagnosis Volume 11 Issue 3

Abstract

Objectives

The preanalytical phase in clinical laboratory diagnostics is currently receiving more and more attention. This term describes one part of actions and aspects of the “brain-to-brain cycle” of the medical laboratory diagnostic procedure that take place before the analytical phase. However, the preanalytical activities, the handling of unsuitable samples and the reporting procedures are neither fully standardized nor harmonized worldwide. The influence of the properties of the blood collection needle must be acknowledged. In this work, we focused on the investigation of the internal structure and size of standardized 21G blood collection needles.

Methods

All parameters were measured with a scanning electron microscope using a Jeol model JSM-6000PLUS. Our.

Results

The obtained data shows that the internal surfaces of the needles vary greatly from manufacturer to manufacturer (by around 35 %), and this may play an important role in influencing blood flow and even the risk of blood cell injury (especially hemolysis) during blood drawing.

Conclusions

The differential actual needle diameters can vary greatly between needle manufactures and this variety may have a significant impact on laboratory values and may also lead to specimen rejection.

Keywords: needle; laboratory diagnostics; preanalytical phase; blood collection; patient safety
Corresponding author: Vera Zayats, Section of Clinical Biochemistry, 19051 University of Verona , Verona, Italy, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: Authors state no conflict of interest.

  5. Research funding: None declared.

  6. Data availability: The raw data can be obtained on request from the corresponding author.

References

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/dx-2023-0171).

Received: 2023-12-08
Accepted: 2024-03-16
Published Online: 2024-04-10

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/dx-2023-0171
Keywords for this article
needle; laboratory diagnostics; preanalytical phase; blood collection; patient safety

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. The growing threat of hijacked journals
  4. Review
  5. Effects of SNAPPS in clinical reasoning teaching: a systematic review with meta-analysis of randomized controlled trials
  6. Mini Review
  7. Diagnostic value of D-dimer in differentiating multisystem inflammatory syndrome in Children (MIS-C) from Kawasaki disease: systematic literature review and meta-analysis
  8. Opinion Papers
  9. Masquerade of authority: hijacked journals are gaining more credibility than original ones
  10. FRAMED: a framework facilitating insight problem solving
  11. Algorithms in medical decision-making and in everyday life: what’s the difference?
  12. Original Articles
  13. Computerized diagnostic decision support systems – a comparative performance study of Isabel Pro vs. ChatGPT4
  14. Comparative analysis of diagnostic accuracy in endodontic assessments: dental students vs. artificial intelligence
  15. Assessing the Revised Safer Dx Instrument® in the understanding of ambulatory system design changes for type 1 diabetes and autism spectrum disorder in pediatrics
  16. The Big Three diagnostic errors through reflections of Japanese internists
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  18. Computable phenotype for diagnostic error: developing the data schema for application of symptom-disease pair analysis of diagnostic error (SPADE)
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  24. Letters to the Editor
  25. For any disease a human can imagine, ChatGPT can generate a fake report
  26. The dilemma of epilepsy diagnosis in Pakistan
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  28. Case Report – Lessons in Clinical Reasoning
  29. Lessons in clinical reasoning – pitfalls, myths, and pearls: a case of tarsal tunnel syndrome caused by an intraneural ganglion cyst
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