Impact of interactions between drugs and laboratory test results on diagnostic test interpretation – a systematic review
-
Jasmijn A. van Balveren
,
Wilhelmine P.H.G. Verboeket-van de Venne
,
Annemarieke E. Loot
Abstract
Intake of drugs may influence the interpretation of laboratory test results. Knowledge and correct interpretation of possible drug-laboratory test interactions (DLTIs) is important for physicians, pharmacists and laboratory specialists. Laboratory results may be affected by analytical or physiological effects of medication. Failure to take into account the possible unintended influence of drug use on a laboratory test result may lead to incorrect diagnosis, incorrect treatment and unnecessary follow-up. The aim of this review is to give an overview of the literature investigating the clinical impact and use of DLTI decision support systems on laboratory test interpretation. Particular interactions were reported in a large number of articles, but they were fragmentarily described and some papers even reported contradictory findings. To provide an overview of information that clinicians and laboratory staff need to interpret test results, DLTI databases have been made by several groups. In a literature search, only four relevant studies have been found on DLTI decision support applications for laboratory test interpretation in clinical practice. These studies show a potential benefit of automated DLTI messages to physicians for the correct interpretation of laboratory test results. Physicians reported 30–100% usefulness of DLTI messages. In one study 74% of physicians sometimes even refrained from further additional examination. The benefit of decision support increases when a refined set of clinical rules is determined in cooperation with health care professionals. The prevalence of DLTIs is high in a broad range of combinations of laboratory tests and drugs and these frequently remain unrecognized.
Declaration of interest statement: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The authors received financial support from the Quality Foundation of the Dutch Medical Specialists (SKMS).
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: Quality Foundation of the Dutch Medical Specialists (SKMS), grant number: 42678870.
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: The funding organisation(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
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©2018 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
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Artikel in diesem Heft
- Frontmatter
- Editorial
- Observing an analyzer’s operational life cycle: a useful management tool for clinical laboratories
- Reviews
- Personalized laboratory medicine: a patient-centered future approach
- Circular RNAs: a new class of biomarkers as a rising interest in laboratory medicine
- Mini Review
- Impact of interactions between drugs and laboratory test results on diagnostic test interpretation – a systematic review
- Opinion Paper
- Uncertainty in measurement and total error: different roads to the same quality destination?
- Guidelines and Recommendations
- Joint EFLM-COLABIOCLI Recommendation for venous blood sampling
- General Clinical Chemistry and Laboratory Medicine
- Evidence for the positive impact of ISO 9001 and ISO 15189 quality systems on laboratory performance – evaluation of immunohaematology external quality assessment results during 19 years in Austria
- Effects of high-dose, intravenous lipid emulsion on laboratory tests in humans: a randomized, placebo-controlled, double-blind, clinical crossover trial
- Commutability of the certified reference materials for the standardization of β-amyloid 1-42 assay in human cerebrospinal fluid: lessons for tau and β-amyloid 1-40 measurements
- Failure rate prediction of equipment: can Weibull distribution be applied to automated hematology analyzers?
- Evaluation of serum alkaline phosphatase measurement through the 4-year trueness verification program in China
- Increased serum concentrations of soluble ST2 predict mortality after burn injury
- The clinical significance of borderline results of the Elia CTD Screen assay
- Reference Values and Biological Variations
- Reference intervals for 33 biochemical analytes in healthy Indian population: C-RIDL IFCC initiative
- Cancer Diagnostics
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- Cardiovascular Diseases
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