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Liver transplantation (LT) is a curative treatment for end-stage liver disease in the childhood. Pediatric LT is one of the most up-to-date and fast-growing areas in contemporary medicine. The main goal in this area is to create predictive models for an onset of complications that would increase survival rate. Infectious complications are the leading cause of morbidity and mortality in all periods after LT. In the present work, using a univariate and bivariate logistic regression analysis estimates of the probabilities of death in the early postoperative period after LT are derived. As predictors for mortality in the constructed logistic models the following parameters have been analyzed: blood plasma levels at 1st, 2nd, 3rd, 5th, 7th and 10th postoperative day of bilirubin, sodium, creatinine, international normalized ratio (INR) of prothrombin time of blood coagulation and model coefficient for end-stage liver disease (MELD). The models were based on experimental data obtained in the University Hospital “Lozenets” – Sofia, Bulgaria. [ABSTRACT FROM AUTHOR]

Patients with some types of cardiovascular disease are prescribed anticoagulation therapy with Warfarin in order to control the ability of blood clotting. This work presents a codesgined mobile application, called Warfarin Guide, for a computer-assisted anticoagulant therapy. The application addresses the challenges that unexperienced patients may find when having to remember to regularly check their INR values and make temporary adjustments for INR value fluctuations that are not easy to interpret without direct medical advice. [ABSTRACT FROM AUTHOR]