Evidence map›Paper›PMID 34635608›Full record

ArticleAnnals of laboratory medicine2022

Periodic Comparability Verification and Within-Laboratory Harmonization of Clinical Chemistry Laboratory Results at a Large Healthcare Center With Multiple Instruments.

Youngwon Nam, Joon Hee Lee, Sung Min Kim, Sun-Hee Jun, Sang Hoon Song, Kyunghoon Lee, Junghan Song

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Article in Annals of laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers 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

Who cites it

4 citing papers in PubMed.

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  4. Laboratory Data Quality Evaluation in the Big Data Era.Annals of laboratory medicine · 2023
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Youngwon NamDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7049-1990
Joon Hee LeeDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9649-1371
Sung Min KimDepartment of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0002-8252-1269
Sun-Hee JunDepartment of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0003-1232-9113
Sang Hoon SongDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5084-1137
Kyunghoon LeeDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3154-0347
Junghan SongDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0576-9938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResults from laboratories using multiple instruments should be standardized or harmonized and comparability-verified for consistent quality control. We developed a simple frequent comparability verification methodology applicable to large healthcare centers using multiple clinical chemistry instruments from different manufacturers.

methodsComparability of five clinical chemistry instruments (Beckman Coulter AU5800, Abbott Architect Ci16000, two Siemens Vista 1500, and Ortho Vitros 5600) was evaluated from 2015 to 2019 for 12 clinical chemistry measurements. Pooled residual patient samples were used for weekly verifications. Results from any instrument exceeding the allowable verification range versus the results from the comparative instrument (AU5800) were reported to clinicians after being multiplied by conversion factors that were determined via a linear regression equation obtained from simplified comparison.

resultsOver the five-year study period, 432 weekly inter-instrument comparability verification results were obtained. Approximately 58% of results were converted due to non-comparable verification. Expected average absolute percent bias and percentage of non-comparable results for non-converted and converted results after conversion action were much lower than those for data measured before conversion action. The inter-instrument CV for both non-converted and converted results after conversion action was much lower than that for measured data before conversion action for all analytes.

conclusionsWe maintained within-laboratory comparability of clinical chemistry tests from multiple instruments for five years using frequent low-labor periodic comparability verification methods from pooled residual sera. This methodology is applicable to large testing facilities using multiple instruments.

Indexed as

Chemistry, ClinicalLaboratoriesClinical Chemistry TestsDelivery of Health CareHumansQuality ControlClinical chemistryComparabilityInstrumentsVerification

Identifiers

PMID34635608
PMCPMC8548239

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