The influence of undetected hemolysis on POCT potassium results in the emergency department

Author:

Tintu Andrei N.1ORCID,Buño Soto Antonio2ORCID,Van Hoof Viviane3ORCID,Bench Suzanne4ORCID,Malpass Anthony5,Schilling Ulf Martin6ORCID,Rooney Kevin7ORCID,Oliver Sáez Paloma8ORCID,Relker Lasse9,Luppa Peter10ORCID

Affiliation:

1. Department of Clinical Chemistry Rotterdam , Erasmus Medical Center , Zuid-Holland , Netherlands

2. Clinical Pathology , 16268 Hospital Universitario La Paz , Madrid , Spain

3. Faculty of Medicine and Health Sciences , 26660 University of Antwerp , Wilrijk , Belgium

4. 8945 Guys and St Thomas NHS Trust , London , UK

5. IDS , Formerly of Becton and Dickinson UK Ltd , Wokingham , Berkshire , UK

6. 56750 Linkoping Univ , Linköping , Sweden

7. 59837 Royal Alexandra Hospital , Paisley , UK

8. Laboratory Medicine , 16268 La Paz – Cantoblanco – Carlos III University Hospital , Madrid , Spain

9. Institute for Clinical Chemistry and Pathobiochemistry , 9184 Eberhard Karls Universitat Tubingen , Tubingen , Germany

10. Institut für Klinische Chemie , 9184 Klinikum rechts der Isar der Technischen Universitat Munchen , Munchen , Germany

Abstract

Abstract Objectives This study aimed to evaluate discrepancies in potassium measurements between point-of-care testing (POCT) and central laboratory (CL) methods, focusing on the impact of hemolysis on these measurements and its impact in the clinical practice in the emergency department (ED). Methods A retrospective analysis was conducted using data from three European university hospitals: Technische Universitat Munchen (Germany), Hospital Universitario La Paz (Spain), and Erasmus University Medical Center (The Netherlands). The study compared POCT potassium measurements in EDs with CL measurements. Data normalization was performed in categories for potassium levels (kalemia) and hemolysis. The severity of discrepancies between POCT and CL potassium measurements was assessed using the reference change value (RCV). Results The study identified significant discrepancies in potassium between POCT and CL methods. In comparing POCT normo- and mild hypokalemia against CL results, differences of −4.20 % and +4.88 % were noted respectively. The largest variance in the CL was a +4.14 % difference in the mild hyperkalemia category. Additionally, the RCV was calculated to quantify the severity of discrepancies between paired potassium measurements from POCT and CL methods. The overall hemolysis characteristics, as defined by the hemolysis gradient, showed considerable variation between the testing sites, significantly affecting the reliability of potassium measurements in POCT. Conclusions The study highlighted the challenges in achieving consistent potassium measurement results between POCT and CL methods, particularly in the presence of hemolysis. It emphasised the need for integrated hemolysis detection systems in future blood gas analysis devices to minimise discrepancies and ensure accurate POCT results.

Publisher

Walter de Gruyter GmbH

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