Startseite Medizin Use of clinical data and acceleration profiles to validate pneumatic transportation systems
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Use of clinical data and acceleration profiles to validate pneumatic transportation systems

  • Charlotte Gils EMAIL logo , Franziska Broell , Pernille J. Vinholt , Christian Nielsen und Mads Nybo
Veröffentlicht/Copyright: 5. Dezember 2019
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Clinical Chemistry and Laboratory Medicine (CCLM)
Aus der Zeitschrift Clinical Chemistry and Laboratory Medicine (CCLM) Band 58 Heft 4

Abstract

Background

Modern pneumatic transportation systems (PTSs) are widely used in hospitals for rapid blood sample transportation. The use of PTS may affect sample integrity. Impact on sample integrity in relation to hemolysis and platelet assays was investigated and also, we wish to outline a process-based and outcome-based validation model for this preanalytical component.

Methods

The effect of PTS was evaluated by drawing duplicate blood samples from healthy volunteers, one sent by PTS and the other transported manually to the core laboratory. Markers of hemolysis (potassium, lactate dehydrogenase [LD] and hemolysis index [HI]) and platelet function and activation were assessed. Historic laboratory test results of hemolysis markers measured before and after implementation of PTS were compared. Furthermore, acceleration profiles during PTS and manual transportation were obtained from a mini g logger in a sample tube.

Results

Hand-carried samples experienced a maximum peak acceleration of 5 g, while peaks at almost 15 g were observed for PTS. No differences were detected in results of potassium, LD, platelet function and activation between PTS and manual transport. Using past laboratory data, differences in potassium and LD significantly differed before and after PTS installation for all three lines evaluated. However, these estimated differences were not clinically significant.

Conclusions

In this study, we found no evidence of PTS-induced hemolysis or impact on platelet function or activation assays. Further, we did not find any clinically significant changes indicating an acceleration-dependent impact on blood sample quality. Quality assurance of PTS can be performed by surveilling outcome markers such as HI, potassium and LD.

Keywords: acceleration; blood sample quality; pneumatic transportation system; preanalytical; quality control; validation system; vibration
Corresponding author: Charlotte Gils, MD, Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, J.B. Winsløwsvej 4, 5000 Odense C, Denmark; and Clinical Institute, University of Southern Denmark, Odense, Denmark, Phone: +45 2729 0409

Acknowledgments

Assistance provided by Esben Hansen, electrical technician, is greatly appreciated.

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

  2. Research funding: This work was supported by the Region of Southern Denmark [grant number 17/15099] and the Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2019-0881).

Received: 2019-08-20
Accepted: 2019-11-03
Published Online: 2019-12-05
Published in Print: 2020-03-26

©2020 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/cclm-2019-0881
Schlagwörter für diesen Artikel
acceleration; blood sample quality; pneumatic transportation system; preanalytical; quality control; validation system; vibration

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. New insights on the analytical performances for detecting and quantifying monoclonal proteins
  4. Reviews
  5. Vitamin C measurement in critical illness: challenges, methodologies and quality improvements
  6. Early predictors of perinatal brain damage: the role of neurobiomarkers
  7. Opinion Paper – Point
  8. Mixing studies for lupus anticoagulant: mostly yes, sometimes no
  9. Opinion Paper – Counterpoint
  10. Mixing studies for lupus anticoagulant: mostly no, sometimes yes
  11. EFLM Consensus Paper
  12. Quantifying atherogenic lipoproteins for lipid-lowering strategies: consensus-based recommendations from EAS and EFLM
  13. Guidelines and Recommendations
  14. PREDICT: a checklist for preventing preanalytical diagnostic errors in clinical trials
  15. Genetics and Molecular Diagnostics
  16. Plasma vs. serum in circulating tumor DNA measurement: characterization by DNA fragment sizing and digital droplet polymerase chain reaction
  17. General Clinical Chemistry and Laboratory Medicine
  18. An international multi-center serum protein electrophoresis accuracy and M-protein isotyping study. Part I: factors impacting limit of quantitation of serum protein electrophoresis
  19. An international multi-center serum protein electrophoresis accuracy and M-protein isotyping study. Part II: limit of detection and follow-up of patients with small M-proteins
  20. Use of clinical data and acceleration profiles to validate pneumatic transportation systems
  21. National survey on delta checks in clinical laboratories in China
  22. Assessment of the glomerular filtration rate (GFR) in kidney transplant recipients using Bayesian estimation of the iohexol clearance
  23. Performance of Afinion HbA1c measurements in general practice as judged by external quality assurance data
  24. Renal tubular epithelial cells add value in the diagnosis of upper urinary tract pathology
  25. Reference Values and Biological Variations
  26. Influence of ethnicity on biochemical markers of health and disease in the CALIPER cohort of healthy children and adolescents
  27. Cardiovascular Diseases
  28. Clinical evaluation of capillary B-type natriuretic peptide testing
  29. Infectious Diseases
  30. Thrombo-inflammatory prognostic score improves qSOFA for risk stratification in patients with sepsis: a retrospective cohort study
  31. Corrigendum
  32. Corrigendum to: Pediatric reference intervals for 29 Ortho VITROS 5600 immunoassays using the CALIPER cohort of healthy children and adolescents
  33. Letters to the Editor
  34. Potential risks in fecal microbiota transplantation
  35. Macro-aspartate aminotransferase syndrome: a case report
  36. Factitious severe acidosis in a patient, preanalytical considerations and prevention
  37. Methods for quick, accurate and cost-effective determination of the type 1 diabetes genetic risk score (T1D-GRS)
  38. Anti-adalimumab and anti-certolizumab antibodies titers after discontinuation of adalimumab: two case reports
  39. Serum immunoglobulin-A (IgA) concentrations in a general adult population: association with demographics and prevalence of selective IgA deficiency
  40. Evaluation of PFA-100 closure times in cord blood samples of healthy term and preterm neonates
  41. Disagreement between direct and indirect potentiometric Na+ determination in infancy and childhood
  42. Carryover issues with UF-5000 urine flow cytometry – how did we miss it?
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