Abstract Morphologic changes in organs vary from nonspecific to specific ones, depending on causes of sudden death, e.i whether it is an acute, subacute or chronic event. The aim of this pilot study was to observe the appearance and occurrence of morphological characteristics on organs that were exposed to long-term effects of hyperthermia. A sample of 7 rats was exposed to a water temperature of 41 °C, which is defined in the literature as “heat stroke temperature”, both sexes, weighing 250 to 300 g were used. Tissue samples, obtained by dissection of rats, were fixed in 10% buffered neutral formalin, at room temperature, then incorporated into paraffin blocks, cut at 4-5 microns, mounted and stained with standard hematoxylin-eosin (HE) method. In order to prove/exclude lipid and glycogen accumulation in hepatocytes we did additional histochemical staining, using Sudan black and Periodic Acid Shiff (PAS) method, respectively. We obtained samples from kidney, liver, pancreas, spleen, lung and brain. Analyzing tissue samples of different organs obtained from seven Wistar rats, we gained insight into morphological changes caused by induced hyperthermia. All sampled organs showed congestion and some degree of oedema. The most prominent changes were observed in liver and lung samples. Tissue samples of the lung of all seven rats showed signs of acute bronchitis and bronchiolitis, together with signs of initial bronchopneumonia. We also noticed signs of focal acute emphysema as well as focal accumulations of foamy macrophages. Our study suggests that changes in the vascular bed occur soon after hyperthermia and while some organs are more tolerant to heat stroke than others, most organs show similar changes consisting of capillary dilation, congestion and interstitial extravasation, observed after 30 minutes at a temperature of 40.5 °C, with the most significant changes observed in liver and lung samples.

Abstract Background/aim: Diabetes mellitus is a metabolic disorder of multiple etiologies characterized by a lack of insulin, with a consequent disordered metabolism of glucose, fats, and proteins. A number of complications, such as diabetic nephropathy and retinopathy, may develop as a result of long-term diabetes. The aim of this study aimed to determine the correlation between diabetic nephropathy and diabetic retinopathy as long-term complications of diabetes mellitus. Materials and methods: Retrospective, descriptive, and analytical research was conducted at the department of Endocrinology, Clinical Center, University of Sarajevo. The study included 158 patients hospitalized in time between 1st of January and 31st of December 2012. Results: New-onset diabetes was found in 38%, and diabetes type 2 patients 132 (83.5%), female 105 (66.5%) while older than 60 years were 100 (63.3%). Upon discharge from hospital 83,7% of patients were discharged with glycemia <10 mmol / l. We found that 47,5% of patients had HbA1c> 10%. Reduced kidney function, different degrees of failure was at 66.5%. More than half (62.7%) patients had proteinuria as a sign of diabetic nephropathy. Diabetic retinopathy was diagnosed with different types in 54.4%. Conclusion: Diabetes leads to an increase in nitrogen compounds, and the development of diabetic nephropathy manifests as various degrees of renal insufficiency. The duration of diabetes and occurrence of diabetic retinopathy were significantly interrelated. The correlation between the degree of renal failure and changes in the ocular fundus has not been proven, but more severe renal insufficiency is associated with a higher incidence of diabetic retinopathy compared to patients with less impaired renal function.

Summary Background Although meningitis is largely preventable, it still causes hundreds of thousands of deaths globally each year. WHO set ambitious goals to reduce meningitis cases by 2030, and assessing trends in the global meningitis burden can help track progress and identify gaps in achieving these goals. Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we aimed to assess incident cases and deaths due to acute infectious meningitis by aetiology and age from 1990 to 2019, for 204 countries and territories. Methods We modelled meningitis mortality using vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Meningitis morbidity was modelled with a Bayesian compartmental model, using data from the published literature identified by a systematic review, as well as surveillance data, inpatient hospital admissions, health insurance claims, and cause-specific meningitis mortality estimates. For aetiology estimation, data from multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature studies were analysed by use of a network analysis model to estimate the proportion of meningitis deaths and cases attributable to the following aetiologies: Neisseria meningitidis, Streptococcus pneumoniae, Haemophilus influenzae, group B Streptococcus, Escherichia coli, Klebsiella pneumoniae, Listeria monocytogenes, Staphylococcus aureus, viruses, and a residual other pathogen category. Findings In 2019, there were an estimated 236 000 deaths (95% uncertainty interval [UI] 204 000–277 000) and 2·51 million (2·11–2·99) incident cases due to meningitis globally. The burden was greatest in children younger than 5 years, with 112 000 deaths (87 400–145 000) and 1·28 million incident cases (0·947–1·71) in 2019. Age-standardised mortality rates decreased from 7·5 (6·6–8·4) per 100 000 population in 1990 to 3·3 (2·8–3·9) per 100 000 population in 2019. The highest proportion of total all-age meningitis deaths in 2019 was attributable to S pneumoniae (18·1% [17·1–19·2]), followed by N meningitidis (13·6% [12·7–14·4]) and K pneumoniae (12·2% [10·2–14·3]). Between 1990 and 2019, H influenzae showed the largest reduction in the number of deaths among children younger than 5 years (76·5% [69·5–81·8]), followed by N meningitidis (72·3% [64·4–78·5]) and viruses (58·2% [47·1–67·3]). Interpretation Substantial progress has been made in reducing meningitis mortality over the past three decades. However, more meningitis-related deaths might be prevented by quickly scaling up immunisation and expanding access to health services. Further reduction in the global meningitis burden should be possible through low-cost multivalent vaccines, increased access to accurate and rapid diagnostic assays, enhanced surveillance, and early treatment. Funding Bill & Melinda Gates Foundation.

Ankylosing spondylitis is a serious ailment that affects people, and the first signs or symptoms usually occurr between the ages of 15 and 45. While the condition is mostly prevalent in men, women are not immune to this disease. This problem is diagnosed with a combination of clinical history and X-rays, pathology and HLAB27 test. The aim of this case study is to demonstrate how macroscopic and microscopic analysis can be used for identification of the disease from a forensic point of view. In April 2018, we exhumed 11 remains near the city Višegrad, twenty-five years after the last war. All the remains were completely skeletonized. The skeleton of a female was specific and shaped like a bamboo branch, with a partial knitting of vertebral bodies in the lumbar region of spine and with total knitting in the thoracic part. The spinous processes were completely knitted. Her son gave informations for verbal autopsy that she had trouble walking and doing normal activities during life. Samples for analysis and pathological diagnostics were used to determine the real bone condition for forensic purposes. To our best knowledge our case is first one in the literature which combines macroscopic and microscopic analysis of AK in exhumed skeletal remains after 25 years of death in modern era of Europe.

.

Summary Background Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. Findings In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. Interpretation Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. Funding Bill & Melinda Gates Foundation.

Background Understanding the anatomy and morphological variability of the orbital region is of great importance in clinical practice, forensic medicine, and biological anthropology. Several methods are used to estimate sex based on the skeleton or parts of the skeleton: classic methods and the geometric morphometric method. The objective of this research was to analyse sex estimation of the orbital region on a sample of skulls from a Bosnian population using the geometric morphometric method. Materials and Methods The research was conducted on three-dimensional models of 211 human adult skulls (139 males and 72 females) from the Osteological Collection at the Faculty of Medicine in Sarajevo. The skulls were recorded using a laser scanner to obtain skull 3D models. We marked 12 landmarks on each model to analyse sexual dimorphism. Landmarks were marked using the program Landmark Editor. After marking the landmarks, we used the MorphoJ program to analyse the morphological variability between male and female orbital regions. Results After Procrustes superimposition, generating a covariant matrix, and introducing sex as a variable for classification, a discriminant functional analysis (DFA) was applied which determined the estimation for males with 86.33% accuracy and for females with 88.89% based on the form of the orbital region. The results of regression analysis showed that the size of the orbital region has a statistically significant effect on its shape's sexual dimorphism. After excluding the influence of size and providing DFA, we concluded that sex estimation was possible with 82.01% accuracy for males and 80.55% accuracy for females based on the shape of the orbital region in the examined sample. Conclusion Sex estimation based on the orbital region was possible with more than 80% accuracy for both sexes, which is a high percentage of correct estimation. Therefore, we recommend using the orbital region of the skull for sex estimation.

Heat-related biomarkers: Focus on the correlation of troponin I and 70 kDa heat shock protein Abstract Introduction: There is intensive research related to the forensic importance of biomarkers that would be the standard for postmortem damage to cardiomyocytes and the mechanism of the resulting damage. The aim of the research was to examinate the forensic-medical significance of serum levels of biomarkers as detectors of terminal hyperthermic damage to the myocardium. MATERIAL AND METHOD 40 laboratory animals were divided into groups: the first group was the control (n = 8) exposed to a physiological temperature of 37 °C, the second group was divided into two subgroups: antemortem (n = 8) and postmortem (n = 8), which included a exposure temperature of 41 °C and the third group was divided into two subgroups: antemortem (n = 8) and postmortem (n = 8), which included a exposure temperature of 44 °C. The concentration of cardiac TnI and Hsp70 was resoluted in serum by immunochemical enzyme-labeled immunoabsorption method. RESULTS A positive correlation was found between the temperature measured at the time of death and the serum values of cTnI (p = 0.02), in G41, and Hsp70 values did not significantly correlate with the core temperature in this group, p > 0.005. A positive correlation was significant between the concentration of Hsp 70 and the body temperature of rats in the group of rats with a fatal outcome was determined, p = 0.03. CONCLUSION Changes in the concentration of cTnI and Hsp70 in rat serum may indicate hyperthermic damage to the myocardium in the Wistar rat model of heat stroke.

Background: The correlation between diabetes mellitus and acute myocardial infarction is greater every day. The mean platelet volume (MPV), which is the determinant of platelet function, is an independent risk factor for the cardiovascular disease. The aim of the study was to investigate the effect of each disease (hypothyroidism, hypertension, myocardial infarction) individually and combined on MPV in diabetic patients.Methods: The cross-sectional study included 102 patients who suffer from diabetes mellitus type 2 (DMT2), of both sexes (46 females, 56 males), with the average age of 58.91 (SD=12.93). All the patients were treated at the Primary Health Centre in Zenica from May to July 2017. All patients had diabetes mellitus and the disease had lasted for 10 years in both sexes.Results: Mean platelet volume was significantly higher in patients with myocardial infarction than in those without myocardial infarction. Age, sex, HbA1c, BMI, lipids and platelet count did not show any significance in either group of patients. Regression analysis showed that the prevalence of myocardial infarction had the highest predictive significance for MPV values, (predictor importance 0.49; coefficient 1.275, p<0.001).Conclusions: Mean platelet volume was significantly higher in patients with diabetes mellitus and myocardial infarction than in DM patients without myocardial infarction. Regression analysis showed correlation with acute myocardial infarction in patients with DMT2, but not with other chronic illnesses. The highest platelet volume indices were observed in patients with myocardial infarction. MPV can be used as a specific indicator in diabetic patients with myocardial infarction.