AIM Acute kidney injury (AKI) presents a high mortality complication in patients with acute myocardial infarction (AMI). Yet, its correlation with non-ST elevation myocardial infarction (NSTEMI) remains neglected in the literature. This study aims to investigate the prevalence, risk factors, clinical features, and short-term outcomes associated with AKI development in patients with acute NSTEMI. METHODS A one-year prospective observational cohort study involved 170 consecutive patients hospitalized in the Intensive Care Department of the Internal Medicine Clinic at the University Clinical Centre Tuzla diagnosed with acute NSTEMI. Patients were subsequently categorized into AKI and non-AKI groups based on AKI development within 48 hours. Demographic characteristics, laboratory findings, and short-term clinical outcomes were compared between the groups. RESULTS Of 170 patients, 31 (18.2%) developed AKI within 48 hours of acute NSTEMI. Significant age differences, blood urea nitrogen (BUN), creatinine, estimated glomerular filtration rate (eGFR), blood glucose level (BGL), C-reactive protein (CRP), and high sensitivity (hs) troponin were observed, making patients with lower baseline kidney function, more extensive myocardial infarction, and a heavier systemic inflammatory response following acute NSTEMI more susceptible to AKI development. In the follow-up period, mortality rates were significantly higher in the AKI group, amounting to 35.5% compared to 10.1% in the non-AKI group. Additionally, mortality increased with the severity of AKI, reaching 100% in AKI stage 2. CONCLUSION This study highlights demographic, clinical and laboratory findings in patients with acute NSTEMI, which contribute to AKI development. Early detection and tailored interventions are crucial in mitigating AKI-associated morbidity and mortality.

Besides the quality of colour reproduction itself, there are other secondary print quality attributes. Secondary print quality evaluation is very important and is influenced primarily by the print method and type of substrate. For textile printers, there is an additional challenge related to macro non-uniformities due to the nature of the substrate. One of these secondary quality attributes is print mottle, which is influenced by macro non-uniformities that remain at the top layer of the print after the ink is fixed on the substrate. Print mottle values primarily consist of an analysis of macro non-uniformities and can be analysed using the Gray Level Co-occurrence Matrix (GLCM) method, among others. In this study, the GLCM method was used as well as the macro non-uniformity index or NU value verification method performed by ImageJ software. Four different textile printing methods and one cotton fabric substrate are used. The objective is to examine print mottle and the impact of printing method on macro non-uniformities. The printing methods include DTF, DTG, screen printing, and screen transfer printing. The aim is to compare the results of different printing methods and to determine their relation to perceived non-uniformity as assessed visually.

We present here a user-friendly calculator for the setting of a pediatric split-bolus polytrauma computed tomography (CT) protocol with a mixed arterial and venous phase, aiming to both reduce radiation dose and improve workflow while assuring optimal image quality. All the different parameters are calculated based on patient’s weight with rapid computation of the injected contrast media and saline volumes, injection’s flow rate, injection’s timing, and optimal acquisition time. The designed calculator is built in a widely available Google Sheets file, accessible by a quick response (QR) code. Although polytrauma imaging represents the main goal of the technique, it can be used in a wide variety of contexts, including oncological, infectious, and vascular pathologies.

In previous research, 1,2,3-triazolium salts showed significant biological activity as potential inhibitors of cholinesterase enzymes (ChEs), which are crucial for neurotransmission. In this research, pairs of uncharged thienobenzo-triazoles and their charged salts were prepared in order to further examine the role of the positive charge on the nitrogen of the triazole ring in interactions within the active site of the enzymes, and to compare the selectivity of 1,2,3-triazolium salts in relation to their uncharged analogs obtained by photochemical cyclization. Neutral thienobenzo-triazoles showed very good selective activity toward butyrylcholinesterase (BChE), while their salts showed excellent non-selective inhibition toward both BChE (the most active 23: IC50 0.47 μM) and acetylcholinesterase (AChE) enzymes (the most active 23: IC50 4.4 μM). These new structures with incorporated 1,2,3-triazolium salts present the new scaffold for drug development as it is known that the current therapy in Alzheimer’s disease (AD) comprises selective AChE inhibitors, while in Parkinson’s and all stages of AD, non-selective inhibitors of ChEs are preferred. Molecular docking of the selected compounds and their corresponding salts into the active sites of ChEs was conducted to identify the interactions responsible for the stability of the non-covalent cholinesterase–ligand complexes. As genotoxicity studies are crucial when developing new active substances and finished drug forms, in silico studies for all the synthesized compounds have shown that compound 18 is the most promising candidate for genotoxic safety.

Diffuse large B cell lymphoma (DLBCL) is classified into Germinal Center B‐cell (GCB) and activated B‐cell (ABC) subgroups originating from different stages of lymphoid differentiation. Cell of origin dictates the behavior and therapeutic response of DLBCL. This study aimed to evaluate single and combinatorial effects of metformin and thymoquinone (TQ) in two DLBCL cell lines belonging to GCB and ABC subtypes. Metformin and TQ caused dose‐dependent responses in both ABC and GCB DLBCL subtypes. Metformin had a greater impact on the ABC subtype while TQ demonstrated more pronounced effects on the GCB subtype. Synergistic effects were observed in the DHL4 (GCB subtype) but not in the HBL1 (ABC subtype) cell line. This is the first study to compare the effects of metformin and TQ in ABC versus GCB subtype of DLBCL. It brings valuable results that could be utilized in further research aimed at reshaping treatments for subtype‐specific lymphomas.

Hepatic steatosis, a key factor in chronic liver diseases, is difficult to diagnose early. This study introduces a classifier for hepatic steatosis using microwave technology, validated through clinical trials. Our method uses microwave signals and deep learning to improve detection to reliable results. It includes a pipeline with simulation data, a new deep-learning model called HepNet, and transfer learning. The simulation data, created with 3D electromagnetic tools, is used for training and evaluating the model. HepNet uses skip connections in convolutional layers and two fully connected layers for better feature extraction and generalization. Calibration and uncertainty assessments ensure the model's robustness. Our simulation achieved an F1-score of 0.91 and a confidence level of 0.97 for classifications with entropy ≤0.1, outperforming traditional models like LeNet (0.81) and ResNet (0.87). We also use transfer learning to adapt HepNet to clinical data with limited patient samples. Using 1H-MRS as the standard for two microwave liver scanners, HepNet achieved high F1-scores of 0.95 and 0.88 for 94 and 158 patient samples, respectively, showing its clinical potential.

INTRODUCTION AND AIM Weight-adjusted waist index (WWI) represents a novel anthropometric measure for assessing obesity. Bearing in mind that there is insufficient data in the literature regarding gender differences in WWI values, the aim of the current study was to examine gender differences in WWI values among older adults.