Introduction and objective. Head and neck injuries are a heterogeneous group in terms of both clinical course and prognosis. For years, there have been attempts to create an ideal tool to predict the outcomes and severity of injuries. The aim of this study was evaluation of the use of selected artificial intelligence methods for outcome predictions of head and neck injuries. Material sand Method. 6,824 consecutive cases of patients who sustained head and neck injuries, treated in hospitals in the Lublin Province between 2006-2018, whose data was provided by National Institute of Public Health / National Institute of Hygiene, were analyzed retrospectively. Patients were qualified using International Statistical Classification of Diseases and Related Health Problems (10th Revision). The multilayer perceptron (MLP) structure was utilized in numerical studies. Neural network training was achieved with the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method. Results. In the designed network, the highest classification efficiency was obtained for the group of deaths (80.7%). The average value of correct classifications for all analyzed cases was 66%. The most important variable influencing the prognosis of an injured patient was diagnosis (weight 1.929). Gender and age were variables of less significance with weight 1.08 and 1.073, respectively. Conclusions. Designing a neural network was hindered due to the large amount of cases and linking of a large number of deaths with specific diagnosis (S06). With a predictive value of 80.7% for mortality, ANN can be a promising tool in the future; however, additional variables should be introduced into the algorithm to increase the predictive value of the network. Further studies, including other types of injuries and additional variables, are needed to introduce this method into clinical use.

Leiomyoma is a benign tumor originate from mesenchymal or connective tissue. Because of a low incidence, difficulties in differentiation from other renal tumors with imaging modalities, the definitive diagnosis of a leiomyoma is possible after examination of a specimen. We present a case of 79-years-old women with incidentally discovered renal tumor in CT scan. Because of the small size of a tumor, patient was informed about possibility of active surveillance. Partial nephrectomy was performed with a histopathologic diagnosis of renal leiomyoma. After 6 months of a follow-up, patient is found to be asymptomatic and free of disease.

Hyperlipidemia was a common problem in blue-collar workers in Lubelskie region in years 2008-2018. Intense prophylactic actions are needed to reduce cardiovascular risk of this group of population.

Introduction Accidents and injuries are a major challenge for modern medicine. According to EUROSTAT data from 2016, accidents were the fifth most frequent cause of death among citizens of the European Union countries. Injuries of the urogenital-tract represent about 10% of all injuries, thanks to epidemiological analysis it is possible to continuously improve the effects of their treatment. Aim The aim of this study is to analyze the epidemiology of urogenital-tract injuries in 2006-2018 in Poland, in the region of Lublin Voivodeship, and to compare them with other papers on a similar subject. Material and methods The retrospective analysis was carried out on all patients with S-T diagnosis according to ICD-9 treated in hospitals in the Lublin Voivodeship in 2006-2018. The analysis was based on statistical data collected by the National Institute of Public Health-National Institute of Hygiene. There were 934 patients selected. The collected material was analyzed statistically using the STATISTICA 13.1 program. Results Out of 934 patients the vast majority were men (n=782, 83.73%), the remaining part of analyzed population was women (n=152, 16.27%). The average age of the analyzed group was 33 years 5 months, injuries were most common in 15-30 years old group. Mortality of urogenital-tract injuries in the analyzed group was 0.75%. The most frequent injuries were to the external genitals (55.4%) followed by renal (29.66%) and urethra (5.56%) bladder (3.43%). Urinary injuries were very rare. Conclusions Injuries to the urogenital-tract most often involve young men. They are relatively rare and their mortality rate is low. External genital trauma is the most common injury to the urogenital-tract, while renal injury is the most common within the urinary tract. Occasionally injuries to other organs of the urinary tract occur. The main mechanism of injury is blunt but within the lower urinary tract a significant role is played by iatrogenic injuries.