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Cited by 342

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Therapeutic Drug Monitoring by Dried Blood Spot: Progress to Date and Future Directions

Open access
Wilhelm, Abraham J., den Burger, Jeroen C. G., Swart, Eleonora L.·2014·Clinical Pharmacokinetics

Abstract

This article discusses dried blood spot (DBS) sampling in therapeutic drug monitoring (TDM). The most important advantages of DBS sampling in TDM are the minimally invasive procedure of a finger prick (home sampling), the small volume (children), and the stability of the analyte. Many assays in DBS have been reported in the literature over the previous 5 years. These assays and their analytical techniques are reviewed here. Factors that may influence the accuracy and reproducibility of DBS methods are also discussed. Important issues are the correlation with plasma/serum concentrations and the influence of hematocrit on spot size and recovery. The different substrate materials are considered. DBS sampling can be a valid alternative to conventional venous sampling. However, patient correlation studies are indispensable to prove this. Promising developments are dried plasma spots using membrane and hematocrit correction using the potassium concentration.

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Registry

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Metadata

Authors
Wilhelm, A. J., den Burger, J. C. G., & Swart, E. L.
Venue
Clinical Pharmacokinetics
Published
2014-09-10
Volume
53
Issue
11
Pages
961-973
ISSN
  • 0312-5963 (ISSN-L)
  • 1179-1926
OpenAlex
W2042516926
Cited by
342
References
38
FWCI
11.41
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Therapeutic Drug Monitoring by Dried Blood Spot: Progress to Date and Future Directions. https://app.cochat.ai/papers/10.1007/s40262-014-0177-7
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Wilhelm, A. J., den Burger, J. C. G., & Swart, E. L. (2014). Therapeutic Drug Monitoring by Dried Blood Spot: Progress to Date and Future Directions. Clinical Pharmacokinetics. https://doi.org/10.1007/s40262-014-0177-7

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.