OBJECTIVE To present a rare disease, and to point out that clinical manifestations treated for a long period of time without an adequate response to therapy may be a manifestation of a rare disease. CASE REPORT We present the case of a 3-year-old girl who had been drinking a large amount of water for the previous ten days with frequent urination, and who experienced the worsening of symptoms of scalp dermatitis that had been treated for a year without success. Physical examination revealed a maculopapular rash on the scalp, neck and both ear shells, and exophthalmos of the right eye with periorbital edema. Magnetic resonance imaging of the orbits showed extensive lesions of the skull bones. Further diagnostic evaluation revealed similar lesions in other bone structures. Biopsy of the affected region, microscopic and immunohistochemical analysis led to diagnosis of Langerhans cell histiocytosis. CONCLUSION Langerhans cell histiocytosis mostly occurs in the first three years of life. The incidence is 4-5 patients per million children under 15 years of life. The clinical presentation is highly variable, and can range from isolated, self-healing skin and bone lesions to life-threatening multisystem diseases. Due to the diverse clinical picture, that is often unrecognized, these patients are often referred to other specialists, resulting in the treatment of individual symptoms rather than the underlying disease.

Aim To investigate knowledge, attitudes and practice towards COVID-19 among selected population. Methods An anonymous online questionnaire based on a Chinese study was distributed via online social media platforms among general population of Bosnia and Herzegovina, Germany, India, Kosovo and Romania. Results In total 1032 subjects, predominately females, 615 (59.6%) with a mean age of 31.23±12.94 years, single, 705 (68.3%), with high school degree or lower, 469 (45.4%), students, 528 (51.1%) and living in an urban environment, 824 (79.8%), have completed the survey. The median knowledge score was 10.0 (range 0-12). Being male (β: -0.437; p=0.003) and older (β: -0.028; p<0.001) were associated with lower knowledge scores, while being single (β: 1.026; p<0.001) and mental labour employee (β: 0.402; p=0.032) were associated with higher knowledge scores. The vast majority of subjects had not visited crowded places, 630 (61.0%) and wearing masks when they were going out, 928 (89.9%). Being female (OR=0.731; p=0.022), having higher knowledge scores (OR=0.929; p=0.017) and being a mental labour employee (OR=0.713; p=0.031) decreased the exposure to crowded places. High school or lower education level (OR=0.616; p=0.024) decreased the action of wearing a mask in public places, while higher knowledge scores (OR=1.112; p=0.013) increased it. Conclusion Our study suggests that residents of the selected regions have had good knowledge, pessimistic attitudes and relatively appropriate practices towards COVID-19 during the second wave of the outbreak.

Aim To identify laboratory tests for early detection and the development of more severe illness and death in COVID-19 hospitalized patients. Methods A prospective study was done on 66 hospitalized COVID-19 patients (males: 54.5%; mean age 70.1 ± 9.6 years) who were stratified into: moderate (n=36; 54.5%), severe (n=12; 18.2%), and critically ill (n=18; 27.3%). Besides clinical findings, a wide spectrum of laboratory parameters was monitored at admission and control during the first seven days of hospitalization and used to predict progression from non-severe to severe illness and to predict the final outcome. Results Critically ill patients showed a higher control value of white blood cell count, C-reactive protein, lactate dehydrogenase, ferritin, but lower lymphocyte count and O2 saturation. Patients with fatal outcome (23; 34.85%) showed a higher control value of neutrophil, lactate dehydrogenase, ferritin, and lower lymphocyte and O2 saturation. Progression from moderate to severe or critical illness was predicted by increasing lactate dehydrogenase (95% CI 0.5803 to 0.8397;p=0.003729), increase in ferritin (95% CI 0.5288 to 0.8221;p=0.03248), and by drop in O2 saturation (95% CI 0.5498 to 0.8179;p=0.01168). A fatal outcome was predicted by increase in ferritin (95% CI 0.5059 to 0.8195;p=0.04985), as well as by drop in O2 saturation (95% CI 0.5916 to 0.8803; p=0.001861). Conclusion Increase in ferritin, and drop in O2 saturation could be the most important prognostic parameters for the development of more severe clinical illness and death in COVID-19 hospitalized patients.

Abstract Pattern recognition techniques are applied to various morphological descriptors to monitor the formation and propagation of surface defects of materials subjected to thermal shock. A low-cement high-alumina castable was synthesized, cured, sintered, and exposed to thermal stability testing using the water quench test. After a certain number of thermal shock cycles, photographs of the samples’ surfaces were taken and subjected to image analysis. The influence of the sintering temperature on the morphology of the detected defects was studied using principal component analysis (PCA) as a pattern recognition technique that is the most informative for extracting possible differences. The morphological descriptors of the defects correspond to the previous results regarding the influence of sintering temperature on the structure of a castable during thermal shocks.

A study of the trichomes types and distribution and pollen morphology was carried out in nine Micromeria taxa (M. cristata ssp. cristata, M. cristata ssp. kosaninii, M. croatica, M. graeca ssp. graeca, M. graeca ssp. fruticulosa, M. juliana, M. kerneri, M. longipedunculata and M. microphylla) and five closely related Clinopodium species (C. dalmaticum, C. frivaldszkyanum, C. pulegium, C. serpyllifolium and C. thymifolium) from the Lamiaceae family of the Balkan Peninsula. By scanning electron microscope, non-glandular trichomes, peltate and capitate trichomes were observed on the calyx, leaves and stem of the studied species. Two subtypes of capitate trichomes were observed in Micromeria species: subtype 1 (consisting of a basal epidermal cell and an elliptically shaped head cell) and subtype 2 (consisting of a basal epidermal cell, two to three stalk cells and a round head cell). In Clinopodium species, three types of capitate trichomes were observed: subtype 1, subtype 3 (consisting of a basal epidermal cell, a short peduncle cell, and a single round head cell), and subtype 4 (consisting of a basal epidermal cell, a stalk cell, and an elongated head cell). These results support the recent transfer of Micromeria species from the section Pseudomelissa to the genus Clinopodium.

Heat shock protein 70 (Hsp70) engages Toll-like receptors (TLR) 2 and 4 when found in the extracellular compartment and contributes to inflammation in chronic obstructive pulmonary disease (COPD). Since there is growing evidence for the genetic risk factors for COPD, the gene expression of HSP70, TLR2 and TLR4 was determined, as well as the association between HSP70, TLR2 and TLR4 single nucleotide polymorphisms, (SNPs) and COPD. The gene expression was assessed in peripheral blood cells of 137 COPD patients and 95 controls by a quantitative polymerase chain reaction (qPCR), while a total of nine SNPs were genotyped by TaqMan allelic discrimination real-time PCR. HSP70 and TLR2 gene expression was increased in COPD patients compared to the controls, regardless of the disease severity and smoking status of participants. The rs6457452 SNP of HSP70 was associated with COPD, indicating the protective role of the T allele (OR = 0.46, 95% CI = 0.24–0.89, p = 0.022). Furthermore, COPD C/T heterozygotes showed a decreased HSP70 mRNA level compared to COPD C/C homozygotes. In conclusion, HSP70 and TLR2 may have a role in the pathogenesis of COPD, and the HSP70 rs6457452 variant might influence the genetic susceptibility to COPD in the Croatian population.

Aim To determine the relationship between seasonal changes in ambient temperature, humidity and general and specific mortality rates in the area of Zenica-Doboj Canton. Methods Changes in the average monthly mortality in the period from 2008 to 2019 were analysed (linear regression) in relation to the average temperatures and humidity in those months in the same time period in Zenica-Doboj Canton. Results Overall mortality increased from 7.9 ‰ in 2008 to 10.2 ‰ in 2019. Overall and specific mortality rates for cardiovascular, malignant, respiratory and metabolic diseases followed seasonal change of ambient temperature and humidity. The monitoring trend showed strong determination degree for overall mortality and mortality for cardiovascular, malignant and respiratory diseases, while for metabolic diseases it was somewhat lower. The highest mortality rates were found in January (cold month), and in August (warm month); the lowest one was in May, September and October. There was a strong significant negative correlation between temperature and mortality rates, while the correlation between humidity and mortality rates was not significant. Conclusion As we have proven that mortality rates followed seasonal changes in ambient temperature and determined months with the least mortality rate, the community must take measures to ensure microclimatic conditions for the survival of patients with cardiovascular, malignant, respiratory and metabolic diseases.

OBJECTIVE The aim of our study was to investigate the predictors of morbidity (age, gender, smoking habits, obesity and the presence of chronic diseases) and COVID-19 outcomes. SUBJECTS AND METHODS The research was an observational descriptive study, conducted at The Family Medicine Education Center, The Primary Health Care Center, Banja Luka, in the period from 26th June to 31st December 2020. During the research period, seven family medicine teams followed their patients with COVID- 19, and recorded possible predictors for morbidity and their influence on the disease outcome. RESULTS The study included 934 patients, 46.90% of whom were male. The majority of subjects were non-smokers and overweight. Diabetes was found in 5.57% patients, hypertension in 29.44%, chronic respiratory diseases in 5.25%, cancer in 4.39% patients. In the observed sample, 29.23% subjects contracted pneumonia, 18.52% were hospitalized, while 19 (2.03%) patients with severe clinical features had a fatal outcome. Multivariable regression analysis showed a high risk of pneumonia in male patients [OR=2.45, 95% CI (1.73- 3.46)], elderly [OR=1.07, 95% CI (1.06-1.09)] and obese patients with Body Mass Index ≥30.0 kg/m2 [OR=2.55, 95% CI (1.73- 3.77)]. Male gender [OR=2.19, 95% CI (1.11-4.31)], older age [OR=1.08, 95% CI (1.05-1.11)] and hypertension [OR=2.51, 95% CI (1.06-5.91)] were the most important predictors for the development of severe clinical features in COVID 19. The statistically significant predictors of mortality were male gender [OR=7.16, 95% CI (1.56-32.86)] and older age [OR=1.12, 95% CI (1.06-1.18]. CONCLUSION Being familiar with the predictors of morbidity and poor outcome in COVID-19 is helpful for carrying out preventive measures, early diagnosis and treatment of risk groups of patients.

OBJECTIVE The purpose of this study was to evaluate the efficacy of daily transcutaneous tibial nerve stimulation (TTNS) versus weekly percutaneous tibial nerve stimulation (PTNS) on the quality of life of patients with idiopathic overactive bladder (OAB). PATIENTS AND METHODS The study was designed as a randomized controlled trial. The diagnosis of OAB was made on the basis of clinical symptoms, and urodynamic tests were performed to check whether uncontrolled contractions of the derusor during bladder filling were responsible for the OAB symptoms. The tests used to assess symptoms and quality of life were Overactive Bladder Questionnaires (OAB-q) SF. The patients were divided into 2 groups of 30 patients each. The first group was treated with TTNS every day for 3 months and the second group with PTNS once a week, also for 3 months. RESULTS Stimulation with both TTNS and PTNS led to the reduction of all clinical symptoms of OAB and improved quality of life, with statistical significance (P<0.05) and with no side effects. When comparing these two groups, the improvement was statistically more significant in the group treated with PTNS. When the quality of life scores and symptoms were compared to the type of treatment, it was found that the improved quality of life parameters and the reduced OAB symptoms were more statistically significant in the treatment with PTNS than TTNS therapy (P<0.001). CONCLUSION The results of the study suggest good efficacy of both TTNS and PTNS in the treatment of OAB. Better effects are achieved with weekly PTNS, as it leads to a statistically significant reduction in symptoms as well as an improvement in quality of life, without side effects.

With stress echo (SE) 2020 study, a new standard of practice in stress imaging was developed and disseminated: the ABCDE protocol for functional testing within and beyond CAD. ABCDE protocol was the fruit of SE 2020, and is the seed of SE 2030, which is articulated in 12 projects: 1-SE in coronary artery disease (SECAD); 2-SE in diastolic heart failure (SEDIA); 3-SE in hypertrophic cardiomyopathy (SEHCA); 4-SE post-chest radiotherapy and chemotherapy (SERA); 5-Artificial intelligence SE evaluation (AI-SEE); 6-Environmental stress echocardiography and air pollution (ESTER); 7-SE in repaired Tetralogy of Fallot (SETOF); 8-SE in post-COVID-19 (SECOV); 9: Recovery by stress echo of conventionally unfit donor good hearts (RESURGE); 10-SE for mitral ischemic regurgitation (SEMIR); 11-SE in valvular heart disease (SEVA); 12-SE for coronary vasospasm (SESPASM). The study aims to recruit in the next 5 years (2021–2025) ≥10,000 patients followed for ≥5 years (up to 2030) from ≥20 quality-controlled laboratories from ≥10 countries. In this COVID-19 era of sustainable health care delivery, SE2030 will provide the evidence to finally recommend SE as the optimal and versatile imaging modality for functional testing anywhere, any time, and in any patient.

The SARS-CoV-2 (COVID-19) pandemic has emerged as one of the greatest problems of the 21st century worldwide. Efforts to fight this pandemic require a global co-operation and a multidisciplinary approach. An application of information and communication technologies (ICT) to a great degree contributes to fighting the pandemic as these technologies are one of the key services that assist patients, researchers, health institutions and other interested parties in different activities in an effort to fight the pandemic and its consequences. The present paper presents the features of certain mobile applications (apps) that are being used for different purposes such as: tracking patients, COVID-19-related warnings, keeping tracks of statistical data, organising life and business, etc. Aside from presenting the features of a certain number of applications, a review of technologies used for the development of these applications will also be presented. Furthermore, the paper addresses certain challenges that come along with the mobile technologies applications and offers suggestions for future research.

Abstract Hearing aids continue to acquire increasingly sophisticated sound-processing features beyond basic amplification. On the one hand, these have the potential to add user benefit and allow for personalization. On the other hand, if such features are to benefit according to their potential, they require clinicians to be acquainted with both the underlying technologies and the specific fitting handles made available by the individual hearing aid manufacturers. Ensuring benefit from hearing aids in typical daily listening environments requires that the hearing aids handle sounds that interfere with communication, generically referred to as “noise.” With this aim, considerable efforts from both academia and industry have led to increasingly advanced algorithms that handle noise, typically using the principles of directional processing and postfiltering. This article provides an overview of the techniques used for noise reduction in modern hearing aids. First, classical techniques are covered as they are used in modern hearing aids. The discussion then shifts to how deep learning, a subfield of artificial intelligence, provides a radically different way of solving the noise problem. Finally, the results of several experiments are used to showcase the benefits of recent algorithmic advances in terms of signal-to-noise ratio, speech intelligibility, selective attention, and listening effort.