A-107 Sample Matrix Matters: A Precision Study of BioRad, TechnoPath, and Patient Pooled Samples Across 20 High Volume Chemistries and Immunoassays

IF 7.1 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Clinical chemistry Pub Date : 2024-10-02 DOI:10.1093/clinchem/hvae106.106
K Sobhani, A K Quizon, R Masukawa, C Hernandez, I Peteros, E Manimtim
{"title":"A-107 Sample Matrix Matters: A Precision Study of BioRad, TechnoPath, and Patient Pooled Samples Across 20 High Volume Chemistries and Immunoassays","authors":"K Sobhani, A K Quizon, R Masukawa, C Hernandez, I Peteros, E Manimtim","doi":"10.1093/clinchem/hvae106.106","DOIUrl":null,"url":null,"abstract":"Background BioRad is a major provider of QC materials in the US with robust peer data, and Technopath has emerged as a recent competitor, especially on cost. While many factors are considered when selecting QC materials, primary considerations include commutability, matrix effects, decision levels, and acceptability limits. A couple studies comparing BioRad and Technopath QC performance were published in recent years. However, none have compared performance to patient-pooled samples. We undertook a comparison of BioRad/Technopath QC performance, with the addition of patient-pooled samples in order to assess potential matrix effects. Methods We compared precision for 20 high-volume chemistry/immunoassay tests (Table 1) across two levels of BioRad and Technopath QC and a patient pooled sample over 7 days on 2 Abbott Alinity-i and 4 Alinity-C instruments. Each immunoassay control level was run 5 times/day across 10 tests and 7 days per instrument, (i.e., 700 results/level), and the same for chemistry controls (1,400 results/level). Lithium-heparin plasma patient-pool was prepared by obtaining sufficient volume and preparing daily frozen aliquots (i.e., 1400 immunoassay and 2800 chemistry results). Results BioRad and Technopath Chemistry QCs were highly comparable with all levels demonstrating <1% CV difference. Notably, CO2, B12, FT4 pooled-patient CVs were >2% lower than the best performing high control. Additionally, greater differences in performance were observed across immunoassay controls with high BioRad QC performing better for 7 tests. Conclusions Chemistry QC for Technopath and BioRad are largely comparable (i.e., CV differences <1%). Overall, BioRad immunoassay control performance was slightly to somewhat better (i.e., B12, CA125, and CA15-3). B12 and CO2 were particularly unstable (as reflected by patient-pool CVs). That said, differences in performance were not untenable and could be handled based on a tailored approach of extending QC limits if assay/instrument performance allows, and/or changing control material or reagents on a tighter schedule.","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":null,"pages":null},"PeriodicalIF":7.1000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/clinchem/hvae106.106","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background BioRad is a major provider of QC materials in the US with robust peer data, and Technopath has emerged as a recent competitor, especially on cost. While many factors are considered when selecting QC materials, primary considerations include commutability, matrix effects, decision levels, and acceptability limits. A couple studies comparing BioRad and Technopath QC performance were published in recent years. However, none have compared performance to patient-pooled samples. We undertook a comparison of BioRad/Technopath QC performance, with the addition of patient-pooled samples in order to assess potential matrix effects. Methods We compared precision for 20 high-volume chemistry/immunoassay tests (Table 1) across two levels of BioRad and Technopath QC and a patient pooled sample over 7 days on 2 Abbott Alinity-i and 4 Alinity-C instruments. Each immunoassay control level was run 5 times/day across 10 tests and 7 days per instrument, (i.e., 700 results/level), and the same for chemistry controls (1,400 results/level). Lithium-heparin plasma patient-pool was prepared by obtaining sufficient volume and preparing daily frozen aliquots (i.e., 1400 immunoassay and 2800 chemistry results). Results BioRad and Technopath Chemistry QCs were highly comparable with all levels demonstrating <1% CV difference. Notably, CO2, B12, FT4 pooled-patient CVs were >2% lower than the best performing high control. Additionally, greater differences in performance were observed across immunoassay controls with high BioRad QC performing better for 7 tests. Conclusions Chemistry QC for Technopath and BioRad are largely comparable (i.e., CV differences <1%). Overall, BioRad immunoassay control performance was slightly to somewhat better (i.e., B12, CA125, and CA15-3). B12 and CO2 were particularly unstable (as reflected by patient-pool CVs). That said, differences in performance were not untenable and could be handled based on a tailored approach of extending QC limits if assay/instrument performance allows, and/or changing control material or reagents on a tighter schedule.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A-107 样品基质的重要性:BioRad、TechnoPath 和患者共用样本在 20 种大样本量化学和免疫测定中的精密度研究
背景 BioRad 是美国质控材料的主要供应商,拥有可靠的同行数据,而 Technopath 则是最近出现的竞争对手,尤其是在成本方面。虽然在选择质控材料时要考虑很多因素,但主要考虑因素包括可互换性、基质效应、决策水平和可接受性限制。近年来发表了几项比较 BioRad 和 Technopath QC 性能的研究。但是,没有一项研究比较了患者集合样本的性能。我们对 BioRad/Technopath QC 性能进行了比较,同时增加了患者样本库,以评估潜在的基质效应。方法 我们在 2 台雅培 Alinity-i 和 4 台 Alinity-C 仪器上比较了 20 种大批量化学/免疫测定(表 1)在两个级别的 BioRad 和 Technopath QC 中的精密度,以及 7 天内患者集合样本的精密度。每个免疫测定对照水平每天运行 5 次,每次 10 个测试,每台仪器运行 7 天(即 700 个结果/水平),化学对照也是如此(1400 个结果/水平)。锂肝素血浆患者库的准备工作是获取足够的血浆量,并每天制备冷冻等分样品(即 1400 份免疫测定结果和 2800 份化学结果)。结果 BioRad 和 Technopath 化学质控结果具有很高的可比性,所有水平的 CV 差异均为 1%。值得注意的是,二氧化碳、B12、绒毛膜促性腺激素(FT4)集合患者的 CV 值比性能最好的高对照组低 2%。此外,在免疫测定对照中观察到的性能差异更大,BioRad 的高 QC 在 7 项测试中表现更好。结论 Technopath 和 BioRad 的化学质控基本相当(即 CV 差异为 1%)。总体而言,BioRad 的免疫测定对照性能略好一些(如 B12、CA125 和 CA15-3)。B12 和 CO2 尤其不稳定(反映在患者池 CV 上)。尽管如此,性能上的差异并不是无法弥补的,可以在检测/仪器性能允许的情况下根据具体情况扩大质控限,和/或按更严格的时间表更换对照材料或试剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Clinical chemistry
Clinical chemistry 医学-医学实验技术
CiteScore
11.30
自引率
4.30%
发文量
212
审稿时长
1.7 months
期刊介绍: Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM). The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics. In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology. The journal is indexed in databases such as MEDLINE and Web of Science.
期刊最新文献
Niacin and Risk of Cardiovascular Events: Deciphering the Paradox. Alzheimer Disease Blood-Based Biomarkers: Translation from Research into Clinical Use. Deconvolution of Human Urine across the Transcriptome and Metabolome. dmTGS: Precise Targeted Enrichment Long-Read Sequencing Panel for Tandem Repeat Detection. Estimating Reference Change Values Using Routine Patient Data: A Novel Pathology Database Approach.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1