Evidence map›Paper›PMID 42293241›Full record

ArticlePractical laboratory medicine2026

Evaluation of the interference of 49 commonly used clinical drugs on 60 biochemical tests.

Weiting Yu, Xiaochun Shu, Lian Wang, Daoyuan Yue, Wenge Xie, Huijun Li

Abstract read
In one paragraph

Article in Practical laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Weiting YuDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaochun ShuDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lian WangDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Daoyuan YueDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wenge XieSchool of Public Health, Nanchang University, No. 1299, Xuefu Avenue, Nanchang, Jiangxi, 330000, China.
Huijun LiDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to systematically evaluate the interference of 49 commonly used clinical drugs on 60 routine biochemical tests, providing a foundation for clinical laboratories to establish drug-interference alert systems and support more accurate result interpretation. Method: We tested 49 drugs at three concentrations (baseline, therapeutic C1, supra-therapeutic C2) on 60 biochemical assays following CLSI EP07. For each drug-test combination, a single patient serum/plasma pool was split into three aliquots: baseline, C1-spiked, and C2-spiked. All samples were analyzed using a Mindray BS-2800M fully automated biochemical analyzer. Results at C1 and C2 were compared with baseline (zero concentration) to characterize drug-induced interference with each biochemical test. Results: At concentration C1, 23 drugs exhibited no interference across all 60 biochemical tests. Among the 2940 drug-test combinations evaluated, C1 generated 27 cases (0.9%) of strong interference, mainly within liver function assays, and 40 cases (1.4%) of weak interference. The majority (97.7%) exhibited no detectable effect. At concentration C2, a total of 2820 drug-test combinations were included in the analysis. Strong interference was detected in 103 cases (3.7%), primarily affecting liver and lipid profiles, alongside 117 cases (4.1%) of weak interference. Nonetheless, 92.2% of combinations still showed no interference. Conclusion: This study provides a comprehensive profile of drug-induced interference across 60 routinely performed biochemical tests. These findings could support the accurate interpretation and interference identification of laboratory results.

Indexed as

Biochemical testingBS-2800M analyzerDrug interferenceDrug-laboratory test interactions

Identifiers

PMID42293241
PMCPMC13263736

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.