Abstract
Data consists of 650 brain dead donors (BDD) in a period from 1st of January 2012 till 31st of December 2017. In model creation, binomial logistic regression used. The dependent variable is a rejection of donor heart and donor characteristics attributed to independent factors. The odds ratios (OR) value determined for each factor, then transformed into points, and the sum of the points is a score of the donor’s heart. The given model is validated by choosing 218 donors for the period from 1st of January 2019 till 31st of December 2019.
Highlights
To decide if the donor’s heart is suitable for transplantation, specialists must consider donor factors and recipient factors to obtain optimal results
Data consists of 650 brain dead donors (BDD) in a period from 1st of January 2012 till 31st of December 2017
The dependent variable is a rejection of donor heart and donor characteristics attributed to independent factors
Summary
To decide if the donor’s heart is suitable for transplantation, specialists must consider donor factors and recipient factors to obtain optimal results. It is difficult subjectively to assess the quality of heart, especially with donors having expanded criteria. Statistic models are used to determine the relationship between initial factors and the final result, for making an objective decision. In such models, the score of the donor’s heart, as a rule, is measured by the sum of points, defined by each factor. Improving the assessment of the heart donor condition, as well as the standardization of risk factors, is extremely important for improving the effectiveness of heart transplantation [3]
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