The diagnosis of an acute myocardial infarction (AMI) is based, among other things, on the measurement of the level of cardiac biomarkers in the plasma. In order to optimize and speed up the analysis of cardiac Troponin T (cTnT), we have previously developed a mathematical model, which can be used to estimate the patient-specific cTnT release curve, based on a discrete number of acquisitions. Here, the effectiveness of our approach is improved by the extending the model to take into account also the release of another biomarker of cardiac damage, namely the creatine kinase MB (CK-MB). Moreover, the description of cTnT release dynamics has also been improved, taking into account a delay mechanism in the release from cytoplasm to plasma. Structural identifiability of the devised model is studied and a procedure for the identification of the parameters is set up and tested on a clinical dataset to assess the effectiveness of the proposed approach.

Mathematical Model of the Release of the cTnT and CK-MB cardiac biomarkers in patients with acute myocardial infarction

Francesco Amato;
2019

Abstract

The diagnosis of an acute myocardial infarction (AMI) is based, among other things, on the measurement of the level of cardiac biomarkers in the plasma. In order to optimize and speed up the analysis of cardiac Troponin T (cTnT), we have previously developed a mathematical model, which can be used to estimate the patient-specific cTnT release curve, based on a discrete number of acquisitions. Here, the effectiveness of our approach is improved by the extending the model to take into account also the release of another biomarker of cardiac damage, namely the creatine kinase MB (CK-MB). Moreover, the description of cTnT release dynamics has also been improved, taking into account a delay mechanism in the release from cytoplasm to plasma. Structural identifiability of the devised model is studied and a procedure for the identification of the parameters is set up and tested on a clinical dataset to assess the effectiveness of the proposed approach.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/755297
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