Emily Shang , Hilario Agustin , Jason K.Y. Lee , Matt Scheidegger , JoAnna Jones , Charbel Abou-Diwan , Joe M. El-Khoury , Jieli Li
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Passing-Bablok regression and Bland-Altman method were used for data analysis.</div></div><div><h3>Results</h3><div>The Siemens Healthineers Atellica IM assay demonstrated strong correlation with Beckman DxI (slope: 1.07, R<sup>2</sup>: 0.9881) but showed a minimal positive bias. Conversely, the Roche cobas Elecsys® e801 assay exhibited a negative bias compared to Beckman DxI (slope: 0.74, R<sup>2</sup>: 0.9696), while the Ansh Labs assay demonstrated a significant positive bias with increasing variability at higher AMH concentrations.</div></div><div><h3>Conclusion</h3><div>Overall, the Siemens Healthineers Atellica IM assay shows promise as an alternative method for AMH measurement, demonstrating good correlation with established assays. However, differences were observed between all assays, highlighting the importance of assay-specific interpretation for accurate clinical assessment.</div></div>","PeriodicalId":10172,"journal":{"name":"Clinical biochemistry","volume":"135 ","pages":"Article 110863"},"PeriodicalIF":2.5000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of Siemens Atellica AMH assay and comparison with Roche, Beckman and Ansh Labs\",\"authors\":\"Emily Shang , Hilario Agustin , Jason K.Y. Lee , Matt Scheidegger , JoAnna Jones , Charbel Abou-Diwan , Joe M. El-Khoury , Jieli Li\",\"doi\":\"10.1016/j.clinbiochem.2024.110863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Anti-Müllerian hormone (AMH) is an important marker for ovarian reserve and response to fertility treatments. 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Conversely, the Roche cobas Elecsys® e801 assay exhibited a negative bias compared to Beckman DxI (slope: 0.74, R<sup>2</sup>: 0.9696), while the Ansh Labs assay demonstrated a significant positive bias with increasing variability at higher AMH concentrations.</div></div><div><h3>Conclusion</h3><div>Overall, the Siemens Healthineers Atellica IM assay shows promise as an alternative method for AMH measurement, demonstrating good correlation with established assays. 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Evaluation of Siemens Atellica AMH assay and comparison with Roche, Beckman and Ansh Labs
Background
Anti-Müllerian hormone (AMH) is an important marker for ovarian reserve and response to fertility treatments. However, interassay variability exists due to the lack of a standardized method. This study evaluates the performance of the new Siemens Healthineers Atellica IM AMH assay against established assays (Beckman DxI 600 Access, Roche cobas Elecsys® e801, and Ansh Labs AMH ELISA).
Methods
We measured AMH concentrations in 120 residual serum samples from patients presenting for routine AMH testing using all four assays. Passing-Bablok regression and Bland-Altman method were used for data analysis.
Results
The Siemens Healthineers Atellica IM assay demonstrated strong correlation with Beckman DxI (slope: 1.07, R2: 0.9881) but showed a minimal positive bias. Conversely, the Roche cobas Elecsys® e801 assay exhibited a negative bias compared to Beckman DxI (slope: 0.74, R2: 0.9696), while the Ansh Labs assay demonstrated a significant positive bias with increasing variability at higher AMH concentrations.
Conclusion
Overall, the Siemens Healthineers Atellica IM assay shows promise as an alternative method for AMH measurement, demonstrating good correlation with established assays. However, differences were observed between all assays, highlighting the importance of assay-specific interpretation for accurate clinical assessment.
期刊介绍：
Clinical Biochemistry publishes articles relating to clinical chemistry, molecular biology and genetics, therapeutic drug monitoring and toxicology, laboratory immunology and laboratory medicine in general, with the focus on analytical and clinical investigation of laboratory tests in humans used for diagnosis, prognosis, treatment and therapy, and monitoring of disease.
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