Abstract
Objective: to develop algorithm of assessment of prognostic value of biomarker (troponin I) for predicting death after coronary artery bypass grafting.
 Materials and methods. Data collection was performed according to prospective non-randomized clinical trial AMIRI CABG in Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russia between 20162019 years with 336 patients. There is database with clinical, laboratory and instrumental data. Statistics were calculated with SAS Enterprise Guide 6.1 software. Prognostic capability of biomarker for death were evaluated with logistic regression. Spline of relation between death and biomarker level were plotted using coefficient of logistic regression and intercept. Upper reference limit was calculated with Youden index.
 Results. There was developed algorithm to assess prognostic value of biomarker and its usefulness for clinical application and to define upper reference limit of biomarker. This algorithm could be useful for physicians and researchers for data analysis.
 Conclusion. Presented algorithm of data analysis allows to assess prognostic value of novel biomarker and its clinical usefulness.
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