A novel corrective model based on red blood cells indices and haemolysis index enables accurate unhaemolysed potassium determination in haemolysed samples – Hemokalc project
We propose a novel, reliable, and cost-effective corrective model to predict unhaemolysed potassium from haemolysed samples. Compared with previously published models, the integration of red blood cells indices allows for a more personalised, patient-centred approach with high efficiency.
Authors
- Maxime Pawlowski
- Alexandre Scanff (ORCID: https://orcid.org/0000-0001-5419-817X)
- Josselin Garnier (ORCID: https://orcid.org/0000-0002-3518-4159)
- B. Vigier
- Charles R. Lefèvre (ORCID: https://orcid.org/0000-0001-8887-376X)
- Claude Bendavid (ORCID: https://orcid.org/0000-0003-2459-9567)
- Mathilde Favalelli
- Nicolas Collet
Institutions
- Inserm (FR)
- École des Hautes Études en Santé Publique (FR)
- Université Rennes 2 (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Institut de Recherche en Santé, Environnement et Travail (FR)
- CIC Rennes (FR)
- Centre Hospitalier Universitaire de Rennes (FR)
- Université de Rennes (FR)
Publication Details
- Journal
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1515/cclm-2025-0330
- Primary Topic
- Clinical Laboratory Practices and Quality Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00