A. Procopio, Mariaconcetta Bilotta, A. Merola, F. Amato, C. Cosentino, S. Rosa, C. Covello, J. Sabatino, A. D. Luca, C. Indolfi
{"title":"Predictive mathematical model of cardiac troponin release following acute myocardial infarction","authors":"A. Procopio, Mariaconcetta Bilotta, A. Merola, F. Amato, C. Cosentino, S. Rosa, C. Covello, J. Sabatino, A. D. Luca, C. Indolfi","doi":"10.1109/ICNSC.2017.8000166","DOIUrl":null,"url":null,"abstract":"The present work proposes a novel model of the release in the blood of cardiac troponin T (cTnT), a biomarker of acute myocardial infarction. Starting from the underpinning mechanisms at the molecular and cellular level, and leveraging a clinical experimental dataset, we have devised a mathematical model that is able to capture the characteristic features of the release curve of cTnT. The model aims at providing the clinicians with an effective tool to evaluate the type and extent of cardiac damage and specific clinical parameters that can be used to improve the diagnosis and treatment planning phases.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC.2017.8000166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The present work proposes a novel model of the release in the blood of cardiac troponin T (cTnT), a biomarker of acute myocardial infarction. Starting from the underpinning mechanisms at the molecular and cellular level, and leveraging a clinical experimental dataset, we have devised a mathematical model that is able to capture the characteristic features of the release curve of cTnT. The model aims at providing the clinicians with an effective tool to evaluate the type and extent of cardiac damage and specific clinical parameters that can be used to improve the diagnosis and treatment planning phases.