In combat sports, competitors are separated into weight divisions, to create equality between the athletes. Consequently, rapid weight loss (RWL) is a common practice in combat sports. Although the methods used to induce RWL are similar among athletes, currently, there are limited data concerning the RWL methodologies used by sambo athletes. Therefore, this study aimed at determining RWL procedures among female sambo athletes. Participants in the study were top-level athletes competing at the World Sambo Championship held in Novi Sad. A total sample of 47 female sambo athletes, of whom 24 were seniors (27.3 ± 4 year/age, 1.61 ± 0.09 m/height, 61.8 ± 8.87 kg/weight) and 23 juniors (18.7 ± 0.8 year/age, 1.66 ± 0.07 m/height, 63.7 ± 12.1 kg/weight), were examined in the study. To determine RWL methods, data were collected through a standardized questionnaire. As a result, 88.7% of the female sambo athletes declared that they intentionally cut their weight before the competition. The most commonly used methods were gradual dieting, followed by sauna, fluid restriction, and skipping meals. The most considerable influence on the RWL strategies of athletes came from coaches and personal trainers, while physicians and dietitians were far less influential. The results obtained from this representative sample highlight the most common practices concerning weight cutting prior to competition among females. Therefore, there is a need to inform and educate both athletes and coaches about the potentially harmful effects of RWL in combat sports.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a global pandemic and one group of patients has developed a severe form of COVID-19 pneumonia with an urgent need for hospitalization and intensive care unit (ICU) admission. The aim of our study was to evaluate the prognostic role of MDW, CRP, procalcitonin (PCT), and lactate in critically ill COVID-19 patients. The primary outcome of interest is the 28 day mortality of ICU patients with confirmed SARS-CoV-2 infection and sepsis (according to Sepsis 3 criteria with acute change in SOFA score ≥ 2 points). Patients were divided into two groups according to survival on the 28th day after admission to the ICU. Every group was divided into two subgroups (women and men). Nonparametric tests (Mann–Whitney) for variables age, PCT, lactate, and MDW were lower than alpha p < 0.05, so there was a significant difference between survived and deceased patients. The Chi-square test confirmed statistically significant higher values of MDW and lactate in the non-survivor group. We found a significant association between MDW, lactate, procalcitonin, and fatal outcome, higher values were reported in the deceased group.

Introduction. Timely detection of insulin resistance is of great importance and a number of indices have been developed for its evaluation, among which the homeostasis model assessment of insulin resistance index is the most commonly used in clinical practice. However, it can be calculated via two different models - homeostasis model assessment 1 and homeostasis model assessment 2. Most studies determine the cut-off values of the study population using the homeostasis model assessment 1, while recently most physicians use homeostasis model assessment 2 in everyday clinical practice. The aim of our study was to examine whether there was a difference in the values of homeostasis model assessment of insulin resistance and homeostasis model assessment of panceratic beta cells function calculated using these two models. Material and Methods. Laboratory findings of 42 patients who were diagnosed with glycemia and insulinemia were used in this study. Fasting and postprandial glycemia and insulinemia were used to calculate homeostasis model assessment indices using homeostasis model assessment 1 and homeostasis model assessment 2. Results. When comparing the values of the homeostasis model assessment of insulin resistance and homeostasis model assessment B indices, calculated via homeostasis model assessment 1 and homeostasis model assessment 2, we found a statistically significant difference (p < 0.001) which was also obtained when comparing the values of the homeostasis model assessment B index. Linear correlation analysis showed a significant positive correlation between the measured values of the homeostasis model assessment of insulin resistance (calculated via both models) and postprandial insulinemia at 120 minutes (p < 0.005). Conclusion. The results indicate that homeostasis model assessment 2 yields significantly lower homeostasis model assessment of insulin resistance and homeostasis model assessment B index values than when calculated by the homeostasis model assessment, which may be a stumbling block in the use of homeostasis model assessment index. It is necessary to pay attention which homeostasis model assessment model was used to define the cut-off values of these indices, and to use the same model in the diagnosis of insulin resistance in each patient in everyday clinical practice.

Various biomarkers like certain complete blood cell count parameters and the derived ratios including neutrophil–lymphocyte ratio are commonly used to evaluate disease severity. Our study aimed to establish if baseline levels of complete blood cell count-derived biomarkers and CRP, measured before any treatment which can interfere with their values, could serve as a predictor of development of pneumonia and the need for hospitalization requiring oxygen therapy. We retrospectively analyzed the laboratory data of 200 consecutive patients without comorbidities, who denied usage of medications prior to blood analysis and visited a COVID-19 ambulance between October and December 2021. Multivariate regression analysis extracted older age, elevated CRP and lower eosinophil count as significant independent predictors of pneumonia (p = 0.003, p = 0.000, p = 0.046, respectively). Independent predictors of hospitalization were higher CRP (p = 0.000) and lower platelet count (p = 0.005). There was no significant difference in the neutrophil–lymphocyte and platelet–lymphocyte ratios between examined groups. Individual biomarkers such as platelet and eosinophil count might be better in predicting the severity of COVID-19 than the neutrophil–lymphocyte and platelet–lymphocyte ratios.

Introduction/Objective. The objective of the study was to determine the difference in peripapillary retinal nerve fiber layer (RNFL) thickness in patients with open-angle glaucoma (POAG) in comparison to the healthy population and according to the progression of the disease. Methods. Four groups were formed among 120 patients: group without glaucoma, early, moderate POAG, and preperimetric glaucoma group. Visual field and optical coherent tomography were performed. Results. RNFL thickness value was found to be the highest in the inferior quadrant, the second highest in the superior one, the third highest in the nasal one, and the lowest value was found to be in the temporal quadrant. The highest average value of RNFL thickness was in the superior quadrant of the healthy group (124.3 ? 17.8 ?m), and the lowest one was in the temporal quadrant of the moderate group (46.5 ? 10.8 ?m). Other RNFL thickness values per quadrants among groups were distributed between these two endpoints. Mean value of peripapillary RNFL thickness (AvgThic) in patients with moderate POAG was lesser than in patients with early POAG, which, in turn, was lesser than that in the healthy subjects (59.6 ? 10.6 ?m vs. 73.4 ? 12.1 ?m vs. 105.5 ? 11.3 ?m). AvgThic in the preperimetric glaucoma group was 83.6 ? 9.2 ?m. Pearson correlation showed a high positive correlation between mean deviation values and the following parameters: AvgThic, S, I, Smax, Imax, Savg, Iavg. Receiver operating characteristic curves found that the parameter with the best diagnostic ability was AvgThic, with the area of 0.803 (< 0.0005), sensitivity of 67%, and specificity of 83.3%. Conclusion. Peripapillary RNFL thickness parameters AvgThic, S, I, Smax, Savg, Iavg, Imax have an excellent ability to discriminate between healthy eyes and eyes with POAG. The parameter with the highest specificity and sensitivity is AvgThic, which makes it the best for early detection and monitoring of POAG.

Introduction: A sedentary lifestyle is one of the biggest health problems of the 21st century. The role of the trainer in motivating the sedentary individual is crucial. Also, there is a growing accessibility to gyms today, especially outdoor gyms, as a novel way to motivate people to train. Objective: The aim of the study was to evaluate the impact of regular combined indoor and outdoor physical activity on anthropometric and functional parameters and the adoption of a more active lifestyle. Methods: The study included 45 participants between 18 and 56 years of age. They underwent 12 weeks of resistance training, focusing on chest presses and leg presses. Height, weight, bioelectrical impedance, chest and leg press one-repetition maximums, push-up and curl-up counts, and sit and reach were measured both before and after the 12-week training program. Results: After 12 weeks of training, male participants showed a significant increase in the percentage of skeletal muscle mass (p<0.05) and a significant decrease in the fat mass percentage (p<0.05). Female participants experienced a significant reduction in the fat mass percentage (p<0.05). Both groups were able to significantly increase their one-repetition maximums for the chest press (p<0.05) and leg press (p<0.05). Push-up and curl-up counts increased significantly after 12 weeks of training in both sexes, as did flexibility in both sexes. A year after the study, 80% of all participants were still training with a combination of indoor and outdoor physical activities. Conclusions: After 12 weeks of training, the body composition of both female and male participants had changed significantly. Twelve weeks of resistance training significantly increased strength and flexibility in both male and female participants. A well-thought-out training plan seems to be the key factor in motivating a beginner trainee to adopt a more active lifestyle. Level of Evidence IV; Case series.