Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter December 5, 2019

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

  • Charlotte Gils EMAIL logo , Franziska Broell , Pernille J. Vinholt , Christian Nielsen and Mads Nybo

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.


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.

References

1. Cornes MP, Church S, van Dongen-Lases E, Grankvist K, Guimarães JT, Ibarz M, et al. Working Group for Preanalytical Phase (WG-PRE) and European Federation of Clinical Chemistry and Laboratory Medicine (EFLM). The role of European Federation of Clinical Chemistry and Laboratory Medicine Working Group for Preanalytical Phase in standardization and harmonization of the preanalytical phase in Europe. Ann Clin Biochem 2016;53:539–47.10.1177/0004563216643969Search in Google Scholar PubMed

2. Cakirca G, Erdal H. The effect of pneumatic tube systems on the hemolysis of biochemistry blood samples. J Emerg Nurs 2016;43:255–8.10.1016/j.jen.2016.09.007Search in Google Scholar PubMed

3. Tiwari AK, Pandey P, Dixit S, Raina V. Speed of sample transportation by a pneumatic tube system can influence the degree of hemolysis. Clin Chem Lab Med 2012;50:471–4.10.1515/cclm.2011.779Search in Google Scholar

4. Koessler J, Kobsar AL, Brunner K, Stolz H, Dossler B, Walter U, et al. The preanalytical influence of two different mechanical transport systems on laboratory analysis. Clin Chem Lab Med 2011;49:1379–82.10.1515/CCLM.2011.198Search in Google Scholar PubMed

5. Streichert T, Otto B, Schnaebl C, Nordholt G, Haddad M, Maric M, et al. Determination of hemolysis thresholds by the use of data loggers in pneumatic tube systems. Clin Chem 2011;57:1390–7.10.1373/clinchem.2011.167932Search in Google Scholar PubMed

6. Evliyaoglu O, Toprak G, Tekin A, Basarali MK, Kilinc C, Colpan L. Effect of pneumatic tube delivery system rate and distance on hemolysis of blood specimens. J Clin Lab Anal 2012;26:66–9.10.1002/jcla.21484Search in Google Scholar PubMed PubMed Central

7. Mullins GR, Harrison JH, Bruns DE. Smartphone monitoring of pneumatic tube system-induced sample hemolysis. Clin Chem Acta 2016;462:1–5.10.1016/j.cca.2016.08.011Search in Google Scholar PubMed

8. Sodi R, Darn SM, Stott A. Pneumatic tube system induced haemolysis: assessing sample type susceptibility to haemolysis. Ann Clin Biochem 2004;41:237–40.10.1258/000456304323019631Search in Google Scholar PubMed

9. Böckel-Frohnhöfer N, Hübner U, Hummel B, Geisel J. Pneumatic tube-transported blood samples in lithium heparinate gel separator tubes may be more susceptible to haemolysis than blood samples in serum tubes. Scand J Clin Lab Invest 2014;7:599–602.10.3109/00365513.2014.921931Search in Google Scholar PubMed

10. Phelan MP, Reineks EZ, Hustey FM, Berriochoa JP, PodolskySR, MeLDon S, et al. Does pneumatic tube system transport contribute to hemolysis in ED blood samples? West J Merg Med 2016;5:557–60.10.5811/westjem.2016.6.29948Search in Google Scholar PubMed PubMed Central

11. Lee A-J, Suh HS, Jeon C-H, Kim S-G. Effects of one directional pneumatic tube system on routine hematology and chemistry parameters; a validation study at a tertiary care hospital. Pract Lab Med 2017;9:12–7.10.1016/j.plabm.2017.07.002Search in Google Scholar PubMed PubMed Central

12. Pupek A, Matthewson B, Whitman E, Fullarton R, Chen Y. Comparison of pneumatic tube system with manual transport for routine chemistry, hematology, coagulation and blood gas tests. Clin Chem Lab Med 2017;55:1537–44.10.1515/cclm-2016-1157Search in Google Scholar PubMed

13. Bolliger D, Seeberger MD, Tanaka KA, Dell-Kuster S, GregorM, Zenklusen U, et al. Pre-analytical effects of pneumatic tube transport on impedance platelet aggregometry. Platelets 2009;20:458–65.10.3109/09537100903236462Search in Google Scholar PubMed

14. Farnsworth CW, Webber DM, Krekeler JA, Budelier MM, Bartlett NL, Gronowski AM. Parameters for validating a hospital pneumatic tube system. Clin Chem 2019;65:1–9.10.1373/clinchem.2018.301408Search in Google Scholar PubMed

15. Mullins GR, Harrison JH, Bruns DE. Smartphones can monitor medical center pneumatic tube systems. Clin Chem 2016;62:891–3.10.1373/clinchem.2016.257063Search in Google Scholar PubMed

16. Garcia RA, Vanelli CP, Pereira Junior OD, Corrêa JO. Comparative analysis for strength serum sodium and potassium in three different methods: flame photometry, ion-selective electrode (ISE) and colorimetric enzymatic. J Clin Lab Anal 2018;32:e22594.10.1002/jcla.22594Search in Google Scholar PubMed PubMed Central

17. Abbott Laboratories. Lactate dehydrogenase. Package insert 2006.Search in Google Scholar

18. Abbott Laboratories, Diagnostic Division. Architect cSystems Sample Interference Indices, Saline Protocol: H, I and L, 2007.Search in Google Scholar

19. Roche Diagnostics. Serum Index Generation 2. Package insert 2014.Search in Google Scholar

20. Calatzis A, Spannagl M, Loreth R. Multiplate platelet function analysis – application and interpretation. V 2.0 2007.Search in Google Scholar

21. Söderström AC, Nybo M, Nielsen C, Vinholt PJ. The effect of centrifugation speed and time on pre-analytical platelet activation. Clin Chem Lab Med 2016;54:1913–20.10.1515/cclm-2016-0079Search in Google Scholar PubMed

22. Duarte 2015. Notes on scientific computing for biomechanics and motor control. GitHub repository. https://github.com/demotu/BMC/blob/master/functions/detect_peaks.py. Accessed: March 2019.Search in Google Scholar

23. Andersen IB, Mogensen N, Brandslund I. Stability of biochemical components in blood samples transported by Tempus/Sysmex GLP Robot Reception System. J Appl Lab Med 2016;1:376–86.10.1373/jalm.2016.021188Search in Google Scholar PubMed

24. Braun S, von Beckerath N, Ellert J, Kastrati A, Schömig A, Vogt W, et al. Assessment of platelet function in whole blood by multiple electrode aggregometry: transport of samples using a pneumatic tube system. Am J Clin Pathol 2009;132:802–3.10.1309/AJCPYNHXB53AWHDWSearch in Google Scholar PubMed

25. Poletaev AV, Koltsova EM, Ignatova AA, Kuprash AD, GitelsonPG, Sepoyan AM, et al. Alterations in the parameters of classic, global and innovative assays of hemostasis caused by sample transportation via pneumatic tube system. Thromb Res 2018;170:156–64.10.1016/j.thromres.2018.08.024Search in Google Scholar PubMed

26. Suchsland J, Winter T, Greiser A, Streichert T, Otto B, Mayerle J, et al. Extending laboratory automation to the wards: effect of an innovative pneumatic tube system on diagnostic samples and transport time. Clin Chem Lab Med 2017;2:225–30.10.1515/cclm-2016-0380Search in Google Scholar PubMed

27. Nybo M, Lund ME, Titlestad K, Maegaard CU. Blood sample transportation by pneumatic transportation systems: a systematic literature review. Clin Chem 2018;64:782–90.10.1373/clinchem.2017.280479Search in Google Scholar PubMed


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

Downloaded on 19.4.2024 from https://www.degruyter.com/document/doi/10.1515/cclm-2019-0881/html
Scroll to top button