Anders Larsson, Anna-Karin Hamberg, Jonathan Cedernaes, Mathias Karlsson
{"title":"Long term monitoring of serum valproate assays using patient median values show stable test results over a period of more than 20 years","authors":"Anders Larsson, Anna-Karin Hamberg, Jonathan Cedernaes, Mathias Karlsson","doi":"10.1016/j.prerep.2025.100063","DOIUrl":null,"url":null,"abstract":"<div><div>Monitoring assay performance using traditional internal quality control (IQC), and external quality assurance (EQA) methods has limitations, particularly regarding sample commutability. This study investigates the use of patient-derived valproate data, specifically median and quartile values, as a complementary approach to quality control in a clinical laboratory setting. A retrospective analysis was performed on 13,336 routine serum valproate results collected between January 2004 and December 2024 at Akademiska Hospital, Uppsala. Valproate was analyzed using immunoassays on the Architect ci8200 platform until 2020, after which testing was transferred to the Roche Cobas Pro c503. Annual patient medians and quartiles were calculated, and seasonal patterns were evaluated. Method transfer and performance were assessed using internal controls and patient data. The number of annual test requests declined modestly over the study period. Median valproate concentrations remained stable across the 21-year period, with minimal variability in interquartile ranges. The 0.10 and 0.90 percentiles showed slightly higher fluctuation, likely due to sample timing variation rather than analytical drift. Seasonal analysis revealed no clinically relevant variation. The method transfer in 2021 did not introduce observable shifts in patient medians, supporting good method comparability. Longitudinal monitoring of patient median and quartile valproate concentrations provides a robust, clinically meaningful tool for supplementary assay performance surveillance. This approach is particularly suitable for therapeutic drug monitoring, where treatment protocols and target ranges are stable over time.</div></div>","PeriodicalId":101015,"journal":{"name":"Pharmacological Research - Reports","volume":"4 ","pages":"Article 100063"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacological Research - Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950200425000370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Monitoring assay performance using traditional internal quality control (IQC), and external quality assurance (EQA) methods has limitations, particularly regarding sample commutability. This study investigates the use of patient-derived valproate data, specifically median and quartile values, as a complementary approach to quality control in a clinical laboratory setting. A retrospective analysis was performed on 13,336 routine serum valproate results collected between January 2004 and December 2024 at Akademiska Hospital, Uppsala. Valproate was analyzed using immunoassays on the Architect ci8200 platform until 2020, after which testing was transferred to the Roche Cobas Pro c503. Annual patient medians and quartiles were calculated, and seasonal patterns were evaluated. Method transfer and performance were assessed using internal controls and patient data. The number of annual test requests declined modestly over the study period. Median valproate concentrations remained stable across the 21-year period, with minimal variability in interquartile ranges. The 0.10 and 0.90 percentiles showed slightly higher fluctuation, likely due to sample timing variation rather than analytical drift. Seasonal analysis revealed no clinically relevant variation. The method transfer in 2021 did not introduce observable shifts in patient medians, supporting good method comparability. Longitudinal monitoring of patient median and quartile valproate concentrations provides a robust, clinically meaningful tool for supplementary assay performance surveillance. This approach is particularly suitable for therapeutic drug monitoring, where treatment protocols and target ranges are stable over time.
使用传统的内部质量控制(IQC)和外部质量保证(EQA)方法监测检测性能具有局限性,特别是在样品可交换性方面。本研究调查了丙戊酸盐患者来源数据的使用,特别是中位数和四分位数值,作为临床实验室环境中质量控制的补充方法。回顾性分析了2004年1月至2024年12月在乌普萨拉Akademiska医院收集的13336例丙戊酸常规血清结果。在Architect ci8200平台上使用免疫分析法分析丙戊酸盐,直到2020年,之后测试转移到罗氏Cobas Pro c503。计算年度患者中位数和四分位数,并评估季节性模式。使用内部控制和患者数据评估方法转移和性能。在研究期间,年度测试请求的数量略有下降。丙戊酸盐浓度中位数在21年间保持稳定,在四分位数范围内变化最小。0.10和0.90百分位数显示出稍高的波动,可能是由于样本时间变化而不是分析漂移。季节分析显示无临床相关的变化。2021年的方法转移没有引入可观察到的患者中位数变化,支持良好的方法可比性。纵向监测患者丙戊酸盐浓度中位数和四分位数提供了一个强大的,有临床意义的辅助检测性能监测工具。这种方法特别适用于治疗性药物监测,治疗方案和靶标范围随着时间的推移是稳定的。