Evaluation of measurement uncertainty in direct and estimated serum osmolality according to ISO/TS 20914: implications for clinical diagnostics

This study examines the measurement uncertainties (MU) associated with osmolality (OSM), a crucial parameter in clinical diagnostics and treatment. The research compares the uncertainties of directly measured osmolality (dOSM) with those of estimated osmolality (eOSM), which is calculated based on sodium, glucose, and urea levels. Using ISO/TS 20914 guidelines, the study evaluates the MUs of eOSM across different analyzer models and internal quality control (IQC) lots and compares these values with dOSM. In the materials and methods section, sodium, glucose, and urea analyses were performed using two different analyzers (Atellica CH and Advia Chemistry XPT, Siemens Healthineers). OSM was measured using the freezing point depression method (Osmomat Auto, Gonotec) and data were collected to calculate eOSM. MU (<i>k</i> = 2, 95% confidence) calculations were conducted according to the ISO/TS 20914 standard for each system. The results show that the expanded standard MU (<i>k</i> = 2, 95% confidence) for dOSM is low at 5.56 mOSM/L, while the MU for eOSM is 8.54 mOSM/L for the Atellica CH system and 11.13 mOSM/L for the Advia Chemistry XPT system. These findings indicate that eOSM has higher uncertainty, suggesting it should be used with caution in clinical practice.

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Publication Details

Journal
Scandinavian Journal of Clinical and Laboratory Investigation
Published
2025-04-03
DOI
https://doi.org/10.1080/00365513.2025.2487988
Citations
1
Primary Topic
Clinical Laboratory Practices and Quality Control
Type
article
Field-Weighted Citation Impact
1.16
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article

Evaluation of measurement uncertainty in direct and estimated serum osmolality according to ISO/TS 20914: implications for clinical diagnostics

Mehmet Fatih Alpdemir, Sezen Tutar
1 citations
Scandinavian Journal of Clinical and Laboratory Investigation
Clinical Laboratory Practices and Quality Control
1.16
article

Evaluation of measurement uncertainty in direct and estimated serum osmolality according to ISO/TS 20914: implications for clinical diagnostics

Mehmet Fatih Alpdemir, Sezen Tutar
article en
1 citations

Abstract

This study examines the measurement uncertainties (MU) associated with osmolality (OSM), a crucial parameter in clinical diagnostics and treatment. The research compares the uncertainties of directly measured osmolality (dOSM) with those of estimated osmolality (eOSM), which is calculated based on sodium, glucose, and urea levels. Using ISO/TS 20914 guidelines, the study evaluates the MUs of eOSM across different analyzer models and internal quality control (IQC) lots and compares these values with dOSM. In the materials and methods section, sodium, glucose, and urea analyses were performed using two different analyzers (Atellica CH and Advia Chemistry XPT, Siemens Healthineers). OSM was measured using the freezing point depression method (Osmomat Auto, Gonotec) and data were collected to calculate eOSM. MU (<i>k</i> = 2, 95% confidence) calculations were conducted according to the ISO/TS 20914 standard for each system. The results show that the expanded standard MU (<i>k</i> = 2, 95% confidence) for dOSM is low at 5.56 mOSM/L, while the MU for eOSM is 8.54 mOSM/L for the Atellica CH system and 11.13 mOSM/L for the Advia Chemistry XPT system. These findings indicate that eOSM has higher uncertainty, suggesting it should be used with caution in clinical practice.

Scandinavian Journal of Clinical and Laboratory InvestigationVol. 85(3)
Ministry of Health (TR), Ankara Bilkent City Hospital (TR)
Openalex Percentile: Top 24%
Clinical Laboratory Practices and Quality Control
1.16
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Evaluation of measurement uncertainty in direct and estimated serum osmolality according to ISO/TS 20914: implications for clinical diagnostics — Mehmet Fatih Alpdemir, Sezen Tutar · Scandinavian Journal of Clinical and Laboratory Investigation (2025) | TGRS Research Map | TGRS