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Analytical performance evaluation and optimization of serum 25(OH)D LC-MS/MS measurement

  • Weiyan Zhou ORCID logo , Meiliang Gong , Yuanli Mao , Xiaofen Yuan , Yuhang Deng , Qianwen Zhang , Wei Guo , Ling Qiu , Xianzhang Huang , Zheng Cao , Jun Xia , Xuhui She , Yulong Cong , Chuanbao Zhang EMAIL logo , Huafen Liu EMAIL logo and Wenxiang Chen EMAIL logo
Published/Copyright: February 19, 2025

Abstract

Objectives

Measuring serum 25-hydroxyvitamin D is key in clinical labs, but inter-laboratory variations risk diagnostic errors. This study evaluates the performance of current in-house liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods used in top Chinese clinical laboratories and proposes an optimized method for improving serum 25(OH)D measurement accuracy and reliability.

Methods

Seven serum pools with different concentrations of 25(OH)D were prepared and sent to 12 participating laboratories for multiple repeat analysis with their current in-house LC-MS/MS methods and then an optimized LC-MS/MS method. Precision was assessed in terms of coefficient of variance (CV), and trueness was assessed in terms of bias referring to the U.S. National Institute of Standards and Technology (NIST) reference measurement procedure (RMP). The analytical performances of the two methods were compared and evaluated.

Results

Eighty percent and 90 % of the laboratories achieved the defined performance criteria (CV, <12.5 %; mean bias, <8.3 %) with the optimized method for the measurement of 25(OH)D2 and 25(OH)D3, compared with 43 % and 57 % of the laboratories meeting the criteria with their in-house methods, respectively. Precision and trueness improved after applying the optimized method. Although the optimized method didn’t not ensure that all laboratory samples meet the measurement uncertainty (MU) criteria (MU<13.6 %), particularly for low-concentration samples, it significantly reduced the MU compared to the in-house method.

Conclusions

Precision, trueness and MU improved after applying the optimized method. Nonetheless, more efforts are needed to ensure the reliability and accuracy of 25(OH)D measurements in clinical laboratories in China.


Corresponding authors: Chuanbao Zhang, National Center for Clinical Laboratories and Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, No 1, Dahua Road, Dongcheng District, Beijing, China, E-mail: ; Huafen Liu, Calibra Scientific, Inc, Hangzhou, China; and Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China, E-mail: ; and Wenxiang Chen, National Center for Clinical Laboratories and Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, No 1, Dahua Road, Dongcheng District, Beijing, China, E-mail:
Weiyan Zhou and Meiliang Gong contributed equally to this work and share first authorship.

Funding source: National Science and Technology Major Project

Award Identifier / Grant number: 2024ZD0523702

Funding source: National High Level Hospital Clinical Research Funding

Award Identifier / Grant number: BJ-2023-094

Funding source: Capital’s Funds for Health Improvement and Research

Award Identifier / Grant number: 2024-2-4059

Funding source: Shanghai Innovation Medical Device Application Demonstration Project

Award Identifier / Grant number: No.23SHS06200

Acknowledgments

The authors acknowledge participants from the China National Institute of Metrology and By-Health Co., Ltd. for their kind assistance in testing samples during the study.

  1. Research ethics: This study has received permission from the Ethics Committee of Beijing Hospital, with exemption for obtaining informed consent (approval No. 2023BJYYEC-206-02).

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: This work was supported by the National Science and Technology Major Project (2024ZD0523702), the Capital's Funds for Health Improvement and Research (2024-2-4059), the Shanghai Innovation Medical Device Application Demonstration Project (No. 23SHS06200), and the National High Level Hospital Clinical Research Funding (BJ-2023-094).

  7. Data availability: Not applicable.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2024-1416).


Received: 2024-12-05
Accepted: 2025-01-30
Published Online: 2025-02-19
Published in Print: 2025-06-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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