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September 26, 2025Clinical Chemistry and Laboratory Medicine (CCLM)4 citations

Moving to practice with the application of Milan model 1b-based analytical performance specifications

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MPMauro PanteghiniUniversitat Autònoma de Barcelona

Key Points

  • The application of the Milan model 1b dramatically influences the definition of analytical performance specifications.
  • Expert consensus on analytical performance specifications addresses misclassification rates and clinical pathway impacts.
  • Milan model 1b provides a framework for defining specific performance specifications within relevant clinical contexts.
  • This approach emphasizes the need for practical guidelines in diagnostic testing, particularly for cardiac troponin measurements.

Abstract

Abstract The definition of analytical performance specifications (APS) by the Milan model 1b is based on indirect approaches investigating the impact of analytical performance of the laboratory test on clinical classification and thereby on the probability of patient outcomes. As direct diagnostic outcome studies (Milan model 1a) for defining APS are now considered very difficult and costly to be performed in practice, expert groups have gathered to reach consensus on how to use available information and apply Milan model 1b to the definition of APS. They have highlighted three major aspects: a) the definition of the clinically acceptable misclassification rate(s); b) the influence of the clinical pathway and patient population and setting (disease prevalence) when diagnostic thresholds are defined, e.g., in guidelines; and c) the intended use of the test. The basic question calling for an answer is how to move forward and provide specific APS for certain measurands that are key in clinical decision making. Here, cardiac troponin testing is used as a practical example for the application of model 1b-derived APS. Proposals are made for moving to practice with the application of this model to APS definition.

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Cite This Study

Mauro Panteghini (2025) studied this question.

synapsesocial.com/papers/68d6c67db1249cec298b22behttps://doi.org/10.1515/cclm-2025-1014
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