The aim of this study was to evaluate real-world rivaroxaban safety and adherence in patients with nonvalvular atrial fibrillation (NVAF). A prospective, observational, cohort, postmarketing study was conducted during a six-month period. The primary outcome was bleeding, including major bleeding, non-major bleeding, and fecal occult blood test positivity. Secondary outcomes included non-bleeding adverse reactions, changes in laboratory parameters, and therapy adherence measured by the Morisky Medication Adherence Scale-8 (MMAS-8). We included 1184 patients evaluated at baseline and at one, three, and six months. During follow-up, cumulative incidences (95% confidence interval) were 0.9% (0.5–1.7%) for major bleeding, 13.3% (11.4–15.3%) for non-major bleeding, and 3.4% (2.4–4.6%) for fecal occult blood positivity. Other adverse drug reactions were infrequent and mild, most commonly headache and fatigue, and no clinically relevant deterioration of laboratory parameters was observed. MMAS-8 score was the same throughout the follow-up period and was 1.0 (interquartile range 0.0–2.0), which is in the domain of good therapy adherence. Approximately one-third of patients demonstrated full therapy adherence, and one-fifth of patients exhibited poor adherence. This real-world study supports the favorable safety profile and generally good patient adherence to rivaroxaban in NVAF, though continued monitoring of bleeding risk and enhanced patient education on adherence remain crucial for optimal outcomes.

The goal of this abstract is to present available artificial intelligence (AI) software and tools for the development, assessment, and implementation of artificial intelligence/machine learning in cardio - vascular research and clinical care, ensuring they are safe, reliable

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<p style="text-align: justify;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">The modernization of health care as a whole in the era of automation and the increasingly frequent use of ICT is noticeably reflected in the change in the structure of the education system of health workers, the program content of personnel education, the duration of education and training of personnel, mass at all levels of education, and more. All this resulted in significant changes within the entire health and education system. Due to the multitude of technical and technological achievements, the area of ​​application of new technique and technology in the process of education and professional development could not remain outside the influence. By introducing this new factor (technological-technical) into education, it was learned that systematic changes will be needed, i.e., not only changes within the teaching forms and methods but also changes in the function of the manager in the health organization.&nbsp;</span></p> <p>&nbsp;</p> <p>&nbsp;</p>

Introduction: The most common cause of myocardial ischemia is atherosclerotic epicardial coronary artery disease, present in 90% of patients. Risk factors positively correlate with the onset, development and subsequent complications of atherosclerotic disease. Aim: Determine the percentage frequency of classic risk factors for coronary disease in patients with non-ST segment elevation myocardial infarction (NSTEMI), with regard to gender. Methods: A retrospective study was conducted on 600 respondents, treated for NSTEMI at the Clinic for Internal Medicine of the University Clinical Center (UKC) Tuzla, in the period from June 2016 to December 2019. Results: Overall, smoking was the leading risk factor (65%), followed by hypertension (58%), hyperlipoproteinemia (39%), overweight (33%), positive family burden (30%) and diabetes mellitus (19%). In male patients, the leading risk factor was smoking, rating at 74%, while in female patients – it was hypertension at 67%. In younger groups of patients leading risk factors were smoking and a positive family burden. Conclusion: With adequate prevention and treatment measures, a significant reduction in the prevalence of the cardiovascular disease can be achieved, since the risk factors for its development have long been known. Quitting smoking is one of the most effective secondary prevention measure since it reduces the reinfarction risk rate by 50%. Knowledge of coronary risks, as well as success in reducing them, can greatly contribute to patients’ overall sense of contentment and significantly raise their self-confidence.