Startseite Computer simulation approaches to evaluate the interaction between analytical performance characteristics and clinical (mis)classification: a complementary tool for setting indirect outcome-based analytical performance specifications
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Computer simulation approaches to evaluate the interaction between analytical performance characteristics and clinical (mis)classification: a complementary tool for setting indirect outcome-based analytical performance specifications

  • Hikmet Can Çubukçu ORCID logo EMAIL logo
Veröffentlicht/Copyright: 28. Januar 2025
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Abstract

Simulation-based approaches for setting indirect outcome-based analytical performance specifications (APS) predominantly involve test repetition through analytical reruns or resampling. These methodologies assess the agreement between original and simulated measurement results, determining the APS corresponding to pre-established performance thresholds. For APS related to imprecision and bias, both analytical performance characteristics (APCs) are typically considered in simulations, whereas for APS regarding measurement uncertainty, bias is excluded in alignment with traceability standards. This paper introduces the “APS Simulator,” a novel tool designed to complement the existing APS Calculator by simulating APS under various scenarios involving imprecision, bias, and measurement uncertainty. The APS Simulator facilitates simulations using distinct analytical rerun and resampling models, enabling laboratory professionals to explore a wide range of performance levels for their specific needs. While the APS Simulator provides valuable insights, significant challenges remain in the broader application of indirect outcome-based APS. These include incorporating sources of diagnostic uncertainty, setting appropriate thresholds for performance metrics, validating clinical decision limits, and accounting for population data characteristics. Addressing these limitations will be essential to enhancing the standardization and robustness of APS determination. The source code and desktop application for the APS Simulator are freely available at https://github.com/hikmetc/APS_Simulator, providing a user-friendly platform for researchers and clinicians to further explore these methodologies.


Corresponding author: Hikmet Can Çubukçu, MD, MSc, EuSpLM, Rare Diseases Department, General Directorate of Health Services, Turkish Ministry of Health, Bilkent Yerleskesi, 6001 Cadde, Universiteler Mahallesi 06800, Ankara, Çankaya, Türkiye, E-mail:

Acknowledgments

This study drawed inspiration from the research conducted by the EFLM Task Group on Performance Specifications Based on Outcome Studies and the EFLM Working Group on Accreditation and ISO/CEN Standards. Their invaluable contributions will aid laboratory medicine specialists in developing standardized procedures to achieve outcome-based APS.

  1. Research ethics: NCHS Research Ethics Review Board (ERB) Approval for publicly available data is available at: https://www.cdc.gov/nchs/nhanes/irba98.htm. Accesed: 1 October 2022.

  2. Informed consent: NHANES 2017-March 2020 Pre-Pandemic Brochures and Consent Documents are Available at: https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/documents.aspx?Cycle=2017–2020 Accesed: 1 October 2022.

  3. Author contributions: The author has 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 author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: The source code and desktop application for the APS Simulator are freely available at https://github.com/hikmetc/APS_Simulator. NHANES 2017-March 2020 Pre-pandemic data was used for demonstration, which is available at:https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/default.aspx?cycle=2017–2020. Accesed: 1 October 2022.

References

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Received: 2024-10-14
Accepted: 2025-01-20
Published Online: 2025-01-28
Published in Print: 2025-06-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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