4.8 Article

Prediction of the Hematocrit of Dried Blood Spots via Potassium Measurement on a Routine Clinical Chemistry Analyzer

Journal

ANALYTICAL CHEMISTRY
Volume 85, Issue 1, Pages 404-410

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ac303014b

Keywords

-

Ask authors/readers for more resources

The potential of dried blood spot (DBS) sampling as an alternative for classical venous sampling is increasingly recognized, with multiple applications in, e.g., therapeutic drug monitoring and toxicology. Although DBS sampling has many advantages, it is associated with several issues, the hematocrit (Hct) issue being the most widely discussed challenge, given its possible strong impact on DBS-based quantitation. Hitherto, no approaches allow Hct prediction from nonvolumetrically applied DBS. Following a simple and rapid extraction protocol, K+ levels from 3 mm DBS punches were measured via indirect potentiometry, using the Roche Cobas 8000 routine chemistry analyzer. The extracts' K+ concentrations were used to calculate the approximate Hct of the blood used to generate DBS. A linear calibration line was established, with a Hct range of 0.19 to 0.63 (lower limit of quantification, LLOQ, to upper limit of quantification, ULOQ). The procedure was fully validated; the bias and imprecision of quality controls (QCs) at three Hct levels and at the LLOQ and ULOQ was less than 5 and 12%, respectively. In addition, the influence of storage (pre- and postextraction), volume spotted, and punch homogeneity was evaluated. Application on DBS from patient samples (n = 111), followed by Bland and Altman, Passing and Bablok, and Deming regression analysis, demonstrated a good correlation between the predicted Hct and the actual Hct. After correcting for the observed bias, limits of agreement of +/- 0.049 were established. Incurred sample reanalysis demonstrated assay reproducibility. In conclusion, potassium levels in extracts from 3 mm DBS punches can be used to get a good prediction of the Hct, one of the most important unknowns in DBS analysis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available