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On-Cell Stability of Digoxin, Lithium, Phenytoin, Valproic Acid, and Vancomycin for Therapeutic Drug Monitoring.

作者信息

Nelson Heather A, Condie Chad, Doyle Kelly, Rudolf Joseph W, Pearson Lauren N

机构信息

Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States.

ARUP Laboratories, Salt Lake City, UT, United States.

出版信息

J Appl Lab Med. 2025 Sep 3;10(5):1285-1291. doi: 10.1093/jalm/jfaf076.

Abstract

BACKGROUND

A common problem in clinical laboratories and outpatient clinics is processing specimens rapidly to comply with specimen stability criteria. Currently, for therapeutic drug monitoring, the laboratory must centrifuge specimens and remove the serum or plasma from cells within 2 hours. Many of these drugs are monitored in the outpatient setting, which may require longer transportation times. This creates challenges for the laboratory in processing samples within 2 hours and may result in unnecessary rejection of otherwise acceptable specimens if blood is left on cells too long. The objective of this study was to determine the effect of storage time before centrifugation on the stability of digoxin, lithium, phenytoin, valproic acid, and vancomycin in blood.

METHODS

The concentration of 5 therapeutic drugs was examined following extended on-cell storage at room temperature (RT). For each drug studied, 3 red-top, no gel serum tubes per patient were collected and maintained at RT for 0.5, 6, and 12 hours after collection. Statistically significant changes from the 0.5-hour control were determined using repeated-measures ANOVA. Phenytoin studies were supplemented with spiked specimens. The spiked whole blood samples were mixed and left at RT for 0.5, 2, 4, 6, or 12 hours after collection.

RESULTS

The concentration of digoxin, lithium, phenytoin, valproic acid, and vancomycin were all within ±10% of the baseline concentration when left at RT on cells up to 12 hours.

CONCLUSION

All 5 drugs showed adequate stability in unprocessed clotted blood for up to 12 hours at RT. This data can alleviate constraints on processing samples for therapeutic drug monitoring in the clinical laboratory.

摘要

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