The ionizing radiation belongs to the basic physical factors that can be measured. We forget often about its risks and the possible damage to our health. The imaging methods which use the ionizing radiation increase the diagnostics quality and they have become a certainty for many medical workers. Therefore, they are being used without rational thinking many times. With this is related to increasing the cumulative dose of patients. Next problem can be radiation safety knowledge of medical workers. The enormous increase in the use of sources ionizing radiation in medicine and rapid development, there may be a disproportionate acquisition of radiation safety knowledge of healthcare workers. At the same time, constant attention must be paid to the biological effects of radiation and realize epidemiology studies. In all the areas mentioned the public health has space. However, it is sad that presently, the radiation safety is not considered important enough in Public Health.  Based on many sources, it is safe to say that this is a major problem, because the public health itself can play an important role in radiation safety. It is important to point out, that safety and effectivity of using the source of ionizing radiation is one of the main components of Good Medical Practice.

Background. Although considerable progress has been made in the treatment of acute ischemic stroke (AIS), the clinical outcome of patients is still significantly influenced by the inflammatory response that follows stroke-induced brain injury. The aim of this study was to evaluate the potential use of complete blood count parameters, including indices and ratios, for predicting the clinical outcome in AIS patients undergoing mechanical thrombectomy (MT). Methods. This single-centre retrospective study is consisted of 179 patients. Patient data including demographic characteristics, risk factors, clinical data, laboratory parameters on admission, and clinical outcome were collected. Based on the clinical outcome assessed at 3 months after MT by the modified Rankin Scale (mRS), patients were divided into two groups: the favourable group (mRS 0–2) and unfavourable group (mRS 3–6). Stepwise multivariate logistic regression analysis was used to detect an independent predictor of the unfavourable clinical outcome. Results. An unfavourable clinical outcome was detected after 3 months in 101 patients (54.4%). Multivariate logistic regression analysis confirmed that the lymphocyte-to-monocyte ratio (LMR) was an independent predictor of unfavourable clinical outcome at 3 months ( odds   ratio = 0.761 , 95% confidence interval 0.625–0.928, and P = 0.007 ). The value of 3.27 was chosen to be the optimal cut-off value of LMR. This value could predict the unfavourable clinical outcome with a 74.0% sensitivity and a 54.4% specificity. Conclusion. The LMR at the time of hospital admission is a predictor of an unfavourable clinical outcome at 3 months in AIS patients after MT.