bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficacy and Safety of Agomelatine in Depressed Patients with Diabetes: A Systematic Review and Meta-Analysis
Authors: Gędek Adam , Modrzejewski Szymon , Materna Michał , Szular Zofia , Wichniak Adam , Mierzejewski Paweł , Dominiak Monika
Published: November 2024

Major depressive disorder (MDD) and diabetes mellitus (DM) remain among the most prevalent diseases and the most significant challenges faced by medicine in the 21st century. The frequent co-occurrence and bidirectional relationship between the two conditions necessitates the identification of treatment strategies that benefit both. The purpose of this study was to systematically review and meta-analyze data on the efficacy and safety of agomelatine (AGO) in the treatment of patients with depression with comorbid diabetes to explore its potential mechanism of action in both diseases and its impact on diabetic parameters. Following PRISMA guidelines, a total of 11 studies were identified, both preclinical and clinical trials. Agomelatine has shown great potential as a treatment option for patients with diabetes and comorbid depression and anxiety. In addition to improving depressive and anxiety symptoms, it is also beneficial in glycemic control. A meta-analysis demonstrated a statistically significant reduction in glycated hemoglobin (HbA1C) and fasting blood glucose (FBG) levels following AGO administration over a period of 8–16 weeks. The administration of agomelatine was found to result in a significantly greater reduction in HbA1C than that observed with the selective serotonin reuptake inhibitor (SSRI) medications (namely fluoxetine, sertraline, and paroxetine) during 12–16 weeks of therapy. Furthermore, AGO has been found to be at least as effective as SSRIs in reducing depressive symptoms and more effective than SSRIs in reducing anxiety symptoms. The safety of such treatment is similar to SSRIs; no severe adverse events were reported, and the incidence of some side effects, such as insomnia and sexual dysfunction, are even less often reported. Particularly promising is also its potential action in improving some diabetic complications reported in preclinical trials. This might be through mechanisms involving the reduction in oxidative stress, anti-inflammatory effects, and potentially noradrenergic or NMDA receptor modulation. Further clinical studies on larger sample sizes, as well as elucidating its mechanisms of action, especially in the context of diabetic complications, are needed. Research should also focus on identifying the patient subpopulations most likely to benefit from agomelatine treatment.
Development and Analysis of Bilayer Foamed Oleogels Stabilized with Ecogel™: Exploring the Role of Tween 80 in Modifying Physicochemical Properties
Authors: Kudłacik-Kramarczyk Sonia , Drabczyk Anna , Przybyłowicz Alicja , Kieres Weronika , Krzan Marcel
Published: November 2024

Oleogels are structured materials formed by immobilizing oil within a polymer network. This study aimed to synthesize bilayer foamed oleogels using Ecogel™ as an emulsifier—a natural gelling and emulsifying agent commonly used to stabilize emulsions. Ecogel™ is multifunctional, particularly in cosmetic formulations, where it aids in creating lightweight cream gels with a cooling effect. However, the specific goal of this study was to investigate the physicochemical properties of oleogels formed with Ecogel™, Tween 80, gelatin, and glycerin. The combination of these ingredients has not been studied before, particularly in the context of bilayer foamed oleogels. The biphasic nature of the resulting materials was explored, consisting of a uniform lower phase and a foamed upper layer. Several analytical techniques were employed, including FT-IR spectrophotometric analysis, moisture content evaluation, surface wettability measurements, microscopic imaging, and rheological studies, in addition to surface energy determination. The results demonstrated that the addition of Tween 80 significantly improved the stability and rigidity of the oleogels. Furthermore, storage at reduced temperatures after synthesis enhanced the material’s stabilizing properties. These materials also showed an affinity for interacting with non-polar compounds, indicating potential applications in skincare, especially for interaction with skin lipids.
Proteomic Markers of Aging and Longevity: A Systematic Review
Authors: Kliuchnikova Anna A. , Ilgisonis Ekaterina V. , Archakov Alexander I. , Ponomarenko Elena A. , Moskalev Alexey A.
Published: November 2024

This article provides a systematic review of research conducted on the proteomic composition of blood as part of a complex biological age estimation. We performed a comprehensive analysis of 17 publicly available datasets and compiled an integral list of proteins. These proteins were sorted based on their detection probability using mass spectrometry in human plasma. We propose this list as a basis for creating a panel of peptides and quantifying the content of selected proteins in the format of a proteomic aging clock. The selected proteins are especially notable for their roles in inflammatory processes and lipid metabolism. Our findings suggest, for the first time, that proteins associated with systemic disorders, including those approved by the FDA for clinical use, could serve as potential markers of aging.
Should We Consider Neurodegeneration by Itself or in a Triangulation with Neuroinflammation and Demyelination? The Example of Multiple Sclerosis and Beyond
Authors: Perdaens Océane , van Pesch Vincent
Published: November 2024

Neurodegeneration is preeminent in many neurological diseases, and still a major burden we fail to manage in patient’s care. Its pathogenesis is complicated, intricate, and far from being completely understood. Taking multiple sclerosis as an example, we propose that neurodegeneration is neither a cause nor a consequence by itself. Mitochondrial dysfunction, leading to energy deficiency and ion imbalance, plays a key role in neurodegeneration, and is partly caused by the oxidative stress generated by microglia and astrocytes. Nodal and paranodal disruption, with or without myelin alteration, is further involved. Myelin loss exposes the axons directly to the inflammatory and oxidative environment. Moreover, oligodendrocytes provide a singular metabolic and trophic support to axons, but do not emerge unscathed from the pathological events, by primary myelin defects and cell apoptosis or secondary to neuroinflammation or axonal damage. Hereby, trophic failure might be an overlooked contributor to neurodegeneration. Thus, a complex interplay between neuroinflammation, demyelination, and neurodegeneration, wherein each is primarily and secondarily involved, might offer a more comprehensive understanding of the pathogenesis and help establishing novel therapeutic strategies for many neurological diseases and beyond.
Effects of Polyvinyl Chloride (PVC) Microplastic Particles on Gut Microbiota Composition and Health Status in Rabbit Livestock
Authors: Papp Péter P. , Hoffmann Orsolya Ivett , Libisch Balázs , Keresztény Tibor , Gerőcs Annamária , Posta Katalin , Hiripi László , Hegyi Anna , Gócza Elen , Szőke Zsuzsanna , Olasz Ferenc
Published: November 2024

The widespread use of polyvinyl chloride (PVC) and its entry into humans and livestock is of serious concern. In our study, we investigated the impact of PVC treatments on physiological, pathological, hormonal, and microbiota changes in female rabbits. Trend-like alterations in weight were observed in the spleen, liver, and kidney in both low (P1) and high dose (P2) PVC treatment groups. Histopathological examination revealed exfoliation of the intestinal mucosa in the treated groups compared to the control, and microplastic particles were penetrated and embedded in the spleen. Furthermore, both P1 and P2 showed increased 17-beta-estradiol (E2) hormone levels, indicating early sexual maturation. Moreover, the elevated tumor necrosis factor alpha (TNF-α) levels suggest inflammatory reactions associated with PVC treatment. Genus-level analyses of the gut microbiota in group P2 showed several genera with increased or decreased abundance. In conclusion, significant or trend-like correlations were demonstrated between the PVC content of feed and physiological, pathological, and microbiota parameters. To our knowledge, this is the first study to investigate the broad-spectrum effects of PVC microplastic exposure in rabbits. These results highlight the potential health risks associated with PVC microplastic exposure, warranting further investigations in both animals and humans.
An In Vitro Strategy to Evaluate Ketoprofen Phototoxicity at the Molecular and Cellular Levels
Authors: Banach Klaudia , Kowalska Justyna , Maszczyk Mateusz , Rzepka Zuzanna , Rok Jakub , Wrześniok Dorota
Published: November 2024

Phototoxicity is a significant problem that occurs in a large part of the population and is often caused by commonly used pharmaceuticals, including over-the-counter drugs. Therefore, testing drugs with photosensitizing potential is very important. The aim of this study is to analyze the cytotoxicity and phototoxicity of ketoprofen towards human melanocytes and fibroblasts in three different treatment schemes in order to optimize the study. Cytometric tests (studies of viability, proliferation, intracellular thiol levels, mitochondrial potential, cell cycle, and DNA fragmentation), Western blot analysis (cytochrome c and p44/p42 protein levels), and confocal microscopy imaging were performed to assess the impact of the developed treatments on skin cells. Research on experimental schemes may help reduce or eliminate the risk of phototoxic reactions. In the case of ketoprofen, we found that the strongest phototoxic potential was exhibited in the treatment where the drug was present in the solution during the irradiation of cells, both pigmented and non-pigmented cells. These results indicate that the greatest risk of photosensitivity reactions related to ketoprofen occurs after direct contact with the drug and UV exposure.
Regional Coleoptera Fauna: Applying Different Methods to Study Species Diversity in a Single Region
Authors: Egorov Leonid V. , Dedyukhin Sergei V. , Alekseev Sergei K. , Trushitsyna Olga S. , Ruchin Alexander B. , Sazhnev Aleksey S. , Nikolaeva Anna M. , Esin Mikhail N. , Khapugin Anatoliy A.
Published: November 2024

In order to study regional faunas, one or two methods of studying Coleoptera are often used. However, a comparison of several ways of studying shows that it is more expedient to use more than one of them. Six different methods of catching Coleoptera used in studies of the biodiversity of regional faunas were compared. This research employed pitfall traps (PfT), beer traps (BT), freely hanging flight intercept traps or window traps (FWT), Malaise traps (MT), pan traps (PT), and sweep net (SN). The goal was to assess the effectiveness of these methods in evaluating the biodiversity of this insect group. Studies were conducted from 2011 to 2017 and 2019 to 2023 in the Ryazan region (the central part of European Russia). A total of 27,892 specimens of Coleoptera (927 species from 64 families) were collected. Specifically, 17,659 specimens were collected using PfT (396 species from 36 families), 4971 specimens using BT (146 species from 30 families), 1014 specimens using FWT (221 species from 51 families), 109 specimens using MT (43 species from 16 families), 2220 specimens using PT (357 species from 42 families), and 1919 specimens using SN (265 species from 32 families). The maximum number of families was observed with FWT, while the minimum number of families was registered with MT. Interestingly, the highest number of rare species from both protected lists was obtained using BT and PfT. The Margalef index was higher for Coleoptera collections using PT and PfT, while the largest Shannon index values were recorded for samples using SN and PT. The Berger–Parker index was the highest for catches using BT, which was characterized by the highest dominance of one or more species. In our study, four species of Coleoptera were found that are included in the protected lists of the Russian Federation and 14 species of Coleoptera were listed in the protected species of the Ryazan region. Considering the results of this study, the Coleoptera fauna of the Ryazan region currently accounts for 1674 species.
Advanced Deep Learning Approach for Smart Home Appliance Identification Using Recurrent Neural Networks with LSTM
Authors: Bkheet Sana Abdelaziz , Agbinya Johnson I. , Khamis Gamal Saad Mohamed
Published: November 2024

In the Internet of Things (IoT) domain, vast numbers of smart devices are interconnected, generating large volumes of data requiring advanced management mechanisms. One major challenge in smart environments is the ability to accurately distinguish and categorize the various types of objects within these systems. To address this issue, the study introduces a recurrent neural network (RNN) model designed for classifying data from smart home devices. Using a dataset from Kaggle, the research outlines the processes of data collection, loading, normalization, and model development. The RNN, enhanced with long short-term memory (LSTM) layers, was trained and evaluated, showing notable improvements in training and validation accuracy over ten epochs. The model achieved a test accuracy of 83.25%, a loss of 35.4%, a precision of 85%, and a recall of 81%. The evaluation of the model on the test set includes a detailed analysis using ROC curves, area under the curve (AUC) scores for multi-class classification, and a confusion matrix. With an AUC score of 0.9896, the model demonstrated exceptional performance in accurately classifying IoT device categories. These results suggest that the LSTM-equipped RNN offers strong learning efficiency and generalization, making it a highly suitable approach for IoT device classification. Additionally, the article explores the concept of IoT and reviews recent advancements in using deep learning models across various IoT sectors, including smart homes, industrial systems, and healthcare. Future research could aim to improve the model’s real-time processing abilities and scalability and incorporate a wider variety of IoT data types to enhance its practical applications and expand its utility across more IoT environments.
Autoencoder-Based Neural Network Model for Anomaly Detection in Wireless Body Area Networks
Authors: Rassam Murad A.
Published: November 2024

In medical healthcare services, Wireless Body Area Networks (WBANs) are enabler tools for tracking healthcare conditions by monitoring some critical vital signs of the human body. Healthcare providers and consultants use such collected data to assess the status of patients in intensive care units (ICU) at hospitals or elderly care facilities. However, the collected data are subject to anomalies caused by faulty sensor readings, malicious attacks, or severe health degradation situations that healthcare professionals should investigate further. As a result, anomaly detection plays a crucial role in maintaining data quality across various real-world applications, including healthcare, where it is vital for the early detection of abnormal health conditions. Numerous techniques for anomaly detection have been proposed in the literature, employing methods like statistical analysis and machine learning to identify anomalies in WBANs. However, the lack of normal datasets makes training supervised machine learning models difficult, highlighting the need for unsupervised approaches. In this paper, a novel, efficient, and effective unsupervised anomaly detection model for WBANs is developed using the autoencoder convolutional neural network (CNN) technique. Due to their ability to reconstruct data in a completely unsupervised manner using reconstruction error, autoencoders hold great potential. Real-world physiological data from the PhysioNet dataset evaluated the suggested model’s performance. The experimental findings demonstrate the model’s efficacy, which provides high detection accuracy, as reported F1-Score is 0.96 with a batch size of 256 along with a mean squared logarithmic error (MSLE) below 0.002. Compared to existing unsupervised models, the proposed model outperforms them in effectiveness and efficiency.
A Fuzzy Spatial Multiple Criteria Analysis Methodology for Solid Waste Landfill Siting
Authors: Kontos Themistoklis D. , Zevgolis Yiannis G.
Published: November 2024

The process of siting municipal solid waste landfills in Greece faces significant challenges due to land resource limitations, the country’s mountainous and water-permeable terrain, and strong public opposition. This study introduces a novel methodology for optimizing landfill sites on Lemnos Island in the North Aegean Sea using a Fuzzy Spatial Multiple Criteria Analysis (FSMCA) approach. By combining fuzzy sets theory, Geographic Information Systems (GIS), Analytic Hierarchy Process (AHP), spatial autocorrelation, spatial clustering and sensitivity analysis, this methodology addresses the uncertainties and complexities inherent in landfill siting. The decision problem is structured hierarchically into five levels to manage multiple criteria effectively. Criteria weights are determined using AHP, with discrete criteria graded according to Greek and EU guidelines, and continuous criteria evaluated through fuzzy sets theory. The region’s suitability is assessed using multiple criteria analysis, revealing that 9.7% of Lemnos Island is appropriate for landfill placement. Sensitivity analysis confirms the robustness of the methodology to changes in criteria weights. The case study demonstrates the practical application and benefits of FSMCA in a real-world scenario, underscoring its potential to improve sustainable waste management practices and inform policy making.
Clinical Characteristics of Persistent Hypophosphatasemia Uncovered in Adult Patients: A Retrospective Study at a Japanese Tertiary Hospital
Authors: Fujiwara Shintaro , Otsuka Yuki , Furukawa Masanori , Higashikage Akihito , Otsuka Fumio
Published: November 2024

Background: Hypophosphatasemia is often overlooked despite its potential to indicate underlying pathologies. The aim of this study was to determine the prevalence of persistent hypophosphatasemia in a large, urban, multi-specialty hospital population and characterize the clinical and laboratory findings in adult patients with this condition. Methods: In this retrospective observational study, the results of 424,434 alkaline phosphatase (ALP) tests in 50,136 patients aged ≥18 years that were performed at Okayama University Hospital between July 2020 and October 2023 were analyzed. Persistent hypophosphatasemia was defined as consistently low ALP levels (≤40 IU/L) for 28 days with a minimum recorded level of ≤35 IU/L. Results: Persistent hypophosphatasemia was detected in 273 patients (0.54% of the tested patients), and the patients with persistent hypophosphatasemia included a higher proportion of females (72.5% vs. 52.9% in the people without persistent hypophosphatasemia; chi-squared test, p < 0.01) and had a younger median age (51 years vs. 63 years; Mann–Whitney U test, p < 0.01) than those in the overall tested population. The common causes of persistent hypophosphatasemia were cancer (30%), glucocorticoid use (21%), and immunosuppressants (16%). Notably, 38 patients (14%) had no apparent cause for low ALP values. These patients were categorized on the basis of their clinical characteristics, with some patients presenting symptoms potentially related to adult hypophosphatasia. Conclusions: This study provides prevalence and insights into the causes and characteristics of persistent hypophosphatasemia in a Japanese tertiary care setting. While most cases were associated with known causes, patients with unexplained hypophosphatasemia and symptoms such as chronic pain, muscle weakness, and general fatigue could have adult hypophosphatasia. In such cases, comprehensive evaluation and further investigation for hypophosphatasia should be considered. Persistent hypophosphatasemia of undetermined etiology could be a crucial initial step in diagnostic algorithms for this condition.
Social Determinants of Health in Cerebral Palsy
Authors: Kendrick-Allwood Salathiel R. , Murphy Melissa M. , Shin Katie S. , Minaz Anmol , Walker Laverne Keecia , Maitre Nathalie L.
Published: November 2024

Background/Objectives: To describe social and psychological needs, such as poverty, early trauma, or adverse childhood events, of caregivers with a child newly diagnosed with cerebral palsy (CP) or receiving a designation of high-risk for cerebral palsy (HRCP). Methods: Caregiver self-report questionnaires screening for unmet social needs, adverse childhood experiences (ACEs), depression symptoms, and trauma were collected from 97 caregivers of children with CP/HRCP seen in a high-risk infant follow-up clinic (adjusted age range 1–24 months). We compared their responses to those of 97 caregivers of age-matched controls seen in the same clinic with similar risk factors over the equivalent time period. Results: Income insecurity and positive screening rate for depressive and trauma symptoms were high for both groups (CP/HRCP, matched control group); no differences were found between CP/HRCP and control groups. Rates of food and housing insecurity and caregiver ACEs were not different between groups. All families received referrals to appropriate community support at the visit. Conclusions: Caregivers of children with CP/HRCP in high-risk infant follow-up clinics may face difficult conversations and decision-making in the context of high psychological and social adversity. Comprehensive support should be considered as early as possible.
The ‘Liaisons dangereuses’ Between Lung Cancer and Interstitial Lung Diseases: A Focus on Acute Exacerbation
Authors: Zanini Umberto , Faverio Paola , Bonfanti Valentina , Falzone Maria , Cortinovis Diego , Arcangeli Stefano , Petrella Francesco , Ferrara Giovanni , Mura Marco , Luppi Fabrizio
Published: November 2024

Patients with interstitial lung disease (ILD) are about five times more likely to develop lung cancer than those without ILD. The presence of ILD in lung cancer patients complicates diagnosis and management, resulting in lower survival rates. Diagnostic and treatment procedures needed for cancer can increase the risk of acute exacerbation (AE), one of the most severe complications for these patients. Bronchoscopic techniques are generally considered safe, but they can trigger AE-ILD, particularly after cryoprobe biopsies. Surgical procedures for lung cancer, including lung biopsies and resections, carry an elevated risk of AE-ILD. Postoperative complications and mortality rates highlight the importance of meticulous surgical planning and postoperative care. Furthermore, cancer treatments, such as chemotherapy, are all burdened by a risk of AE-ILD occurrence. Radiotherapy is important for managing both early-stage and advanced lung cancer, but it also poses risks. Stereotactic body radiation and particle beam therapies have varying degrees of safety, with the latter potentially offering a lower risk of AE. Percutaneous ablation techniques can help patients who are not eligible for surgery. However, these procedures may complicate ILD, and their associated risks still need to be fully understood, necessitating further research for improved safety. Overall, while advancements in lung cancer treatment have improved outcomes for many patients, the complexity of managing patients with concomitant ILD needs careful consideration and multidisciplinary assessment. This review provides a detailed evaluation of these risks, emphasizing the need for personalized treatment approaches and monitoring to improve patient outcomes in this challenging population.
The Development of a Predictive Model for Postoperative Renal Function in Living Kidney-Transplant Donors
Authors: Tanaka Ryo , Taniguchi Ayumu , Higa-Maegawa Yoko , Matsumura Soichi , Fukae Shota , Nakazawa Shigeaki , Kakuta Yoichi , Nonomura Norio
Published: November 2024

Background/Objectives: The accurate prediction of postoperative renal function (post-RF) in living kidney donors is essential for optimizing donor safety and long-term health. After nephrectomy, renal function can be significantly altered, owing to the functional adaptation of the remaining kidney; however, the extent of this has not been investigated. This study aimed to examine how various donor factors affect functional adaptation after nephrectomy, and to develop a new predictive model. Methods: In total, 310 patients who underwent donor nephrectomy were included. Preoperative split renal function (pre-SRF) of the remaining kidney was measured. Post-RF was measured 1 month after surgery. The functional adaptation rate was calculated from the difference between pre-SRF and post-RF. Multiple regression analysis was performed to develop a predictive formula for post-RF, incorporating donor age and pre-SRF. Results: The median age of the donors was 60 years, and 38.7% were men. The median pre-SRF was 36.4 mL/min/1.73 m2. The median functional adaptation rate was 26.8%, with donor age, pre-SRF, and a history of hyperuricemia (HUA) being significant predictors of the functional adaptation rate. The equation for post-RF was established as 0.94 × pre-SRF − 0.12 × age + 18.87 mL/min/1.73 m2. The estimated post-RF showed a high coefficient of determination (R2 = 0.76), with a mean bias of –0.01 mL/min/1.73 m2. Conclusions: Donor age, pre-SRF, and HUA are key predictors of renal functional adaptation after nephrectomy. The developed formula accurately estimates post-RF, supporting clinical decision-making and donor counseling for living kidney donations.
Artificial Intelligence in Surgery: A Systematic Review of Use and Validation
Authors: Kenig Nitzan , Monton Echeverria Javier , Muntaner Vives Aina
Published: November 2024

Background: Artificial Intelligence (AI) holds promise for transforming healthcare, with AI models gaining increasing clinical use in surgery. However, new AI models are developed without established standards for their validation and use. Before AI can be widely adopted, it is crucial to ensure these models are both accurate and safe for patients. Without proper validation, there is a risk of integrating AI models into practice without sufficient evidence of their safety and accuracy, potentially leading to suboptimal patient outcomes. In this work, we review the current use and validation methods of AI models in clinical surgical settings and propose a novel classification system. Methods: A systematic review was conducted in PubMed and Cochrane using the keywords “validation”, “artificial intelligence”, and “surgery”, following PRISMA guidelines. Results: The search yielded a total of 7627 articles, of which 102 were included for data extraction, encompassing 2,837,211 patients. A validation classification system named Surgical Validation Score (SURVAS) was developed. The primary applications of models were risk assessment and decision-making in the preoperative setting. Validation methods were ranked as high evidence in only 45% of studies, and only 14% of the studies provided publicly available datasets. Conclusions: AI has significant applications in surgery, but validation quality remains suboptimal, and public data availability is limited. Current AI applications are mainly focused on preoperative risk assessment and are suggested to improve decision-making. Classification systems such as SURVAS can help clinicians confirm the degree of validity of AI models before their application in practice.
Changing Epidemiology of Myocarditis in Australia: A Population-Based Cohort Study
Authors: Kwan Timothy Nathan , Kwan Gemma , Brieger David , Kritharides Leonard , Chow Vincent , Ng Austin Chin Chwan
Published: November 2024

Background: Myocarditis is a serious disease that has drawn increasing attention due to its association with COVID-19 and vaccination. This study investigates the epidemiology of myocarditis beyond the COVID-19 pandemic, including its incidence and outcomes over time. Methods: We analyzed the population-wide retrospective data from the Admitted-Patient-Data-Collection database of patients admitted to hospitals in New South Wales (NSW), Australia, with a diagnosis of myocarditis from 2001 to 2022. The incidence of myocarditis, changing classification of myocarditis over time, and complications of myocarditis over time were all calculated. Results: There were 4071 patients diagnosed with their first episode of myocarditis, with a median age of 42 years old, and 66% were male. The incidence of myocarditis in NSW has tripled over 20-years to 8.3 per-100,000-persons by 2022. Reactive myocarditis (i.e., myocarditis within 30-days of a respiratory or digestive illness) accounted for 38% of first presentations of myocarditis. Post COVID-19 myocarditis, a subset of reactive myocarditis, accounted for 42% of myocarditis admissions since the onset of the COVID-19 pandemic in Australia. Eight percent of patients had a background history of malignancy, and 6% had a history of autoimmune disease. In-hospital mortality was 4.5% during the entire study period but has been falling by 11% per year. During follow up, most readmissions for myocarditis occurred within 6-months; with 5.1% recurrence at 6-months compared to only 6.7% at 5-years. Conclusions: Myocarditis is an important condition with increasing incidence in Australia and with markedly changing characteristics in the pandemic and post pandemic era.
Prostate Dimensions and Their Impact on LUTS and Erectile Function: Is Length the Missing Link?
Authors: Porav-Hodade Daniel , Vartolomei Mihai Dorin , Voidazan Toader Septimiu , Gherasim Raul , Andras Iulia , Todea-Moga Ciprian , Feciche Bogdan Ovidiu , Big Silvestru-Alexandru , Orsolya Katalin Ilona Mártha , Coman Ioan , Crisan Nicolae
Published: November 2024

Background/Objectives: The objective of this study is to explore potential correlations between prostate volume, LUTS, and IIEF, with a particular emphasis on the relationship between prostate dimensions—width, height, and length—and both LUTS and IIEF and to assess patients based on risk factors such as hypertension, diabetes, cardiovascular disease, smoking, alcohol consumption, and PSA levels. Methods: A retrospective multicenter study was conducted between January 2007 and December 2023, focusing on male patients over the age of 40. The study evaluated hypertension, diabetes, cardiovascular diseases, smoking, alcohol consumption, and lower urinary tract symptoms (LUTS) through the completion of the IPSS and QoL questionnaires, sexual function using the IIEF-15, and PSA levels. Abdominal ultrasound was performed to determine prostate volume and its dimensions (width, height, and length). Results: A total of 943 patients were included in the study, with a mean age of 61.89 ± 8.51 years. From the 40–49 age group to the 80–90 age group, IPSS increased from 10.29 to 14.26 points, PSA from 1.1 ng/mL to 3.05 ng/mL, and prostate volume from 23.79 mL to 41.16 mL. Meanwhile, over the same age intervals, IIEF showed a decline from 52.57 to 24.76 points. The IPSS demonstrated a statistically significant positive correlation (p < 0.05) with prostate volume and patient age, while showing an inverse correlation with IIEF. The only statistically significant correlation between IPSS and prostate dimensions was with the length diameter of the prostate (p = 0.011). The severity of sexual symptoms was inversely correlated with both prostate volume and age. Additionally, IIEF was negatively correlated with the width and length diameters of the prostate. Hypertension (p = 0.57), diabetes (p = 0.57), smoking (p = 0.76), and alcohol consumption (p = 0.27) did not have a statistically significant impact on IPSS, and IIEF except for cardiovascular diseases, which showed a significant correlation with IPSS in patients experiencing moderate to severe symptoms (p = 0.0001). The statistically significant correlation between cardiovascular diseases and IIEF was observed only in patients with severe symptoms (p = 0.0001). Conclusions: There is a correlation between prostate volume, IPSS, and IIEF. Only length of the prostate shows a statistically significant correlation with both IPSS and IIEF. PSA levels increase progressively with each decade of age. Hypertension, diabetes, smoking, and alcohol consumption do not have a statistically significant impact on LUTS and erectile function. Cardiovascular diseases show a correlation with patients experiencing moderate to severe LUTS, as well as with those who have severe symptoms according to the IIEF evaluation.
Influence of Biometric and Corneal Tomographic Parameters on Normative Corneal Aberrations Measured by Root Mean Square
Authors: Almorín-Fernández-Vigo Ignacio , Pagán Carrasco Silvia , Sánchez-Guillén Inés , Fernández-Vigo José Ignacio , Macarro-Merino Ana , Kudsieh Bachar , Fernández-Vigo José Ángel
Published: November 2024

Background/Objectives: To determine the impact of corneal and biometry parameters on the normative root mean square (RMS) values of corneal aberrations measured at a 6 mm diameter. Methods: The RMS values for corneal aberrations (anterior, posterior, and total) were measured along with corneal parameters using Scheimpflug tomography on 770 normal subjects. The biometric parameters were measured with an optical biometer. A multiple linear regression model was used to assess the effect of these parameters on the RMS values for corneal aberrations. Results: The mean RMS values for low-order (LOAs) and high-order 6 mm aberrations (HOAs) were 1.883 ± 0.797 µm and 0.484 ± 0.173 µm, respectively, and for the anterior and posterior cornea, the values were 0.775 ± 0.166 µm and 0.189 ± 0.036 µm, respectively. For the anterior cornea, the main predictors of the RMS LOAs (R2 = 69.8%) were anterior corneal astigmatism (ACA) and anterior corneal elevation (Ele F) on the apex (both p < 0.0001) and for the RMS HOAs (R2 = 33.3%) the main predictors were age, ACA, and Ele F on the thinnest point (all p < 0.0001). For the posterior cornea, considering only the posterior corneal variables, the main predictors of the RMS LOAs (R2 = 63.4%) were posterior corneal astigmatism and posterior corneal elevation (Ele B) on the thinnest point and apex (all p < 0.0001) and for the RMS HOAs (R2 = 46%) the main predictors were the mean posterior keratometry and Ele B on the thinnest point and apex (all p < 0.0001). Conclusions: Normative data of RMS values for corneal aberrations measured over 6 mm are influenced by age and several corneal parameters, which should be considered when evaluating the diagnostic ability of the RMS values.
Use of Sport Supplements and Doping Substances by Athletes: Prevalence and Relationships
Authors: Hurst Philip , Kavussanu Maria , Davies Rachael , Dallaway Neil , Ring Christopher
Published: November 2024

Background: The use of sport supplements may represent a risk factor for the use of doping in sports. To explore this putative risk, the current study examined the frequency of sport supplement use and associations between the use of sport supplements and the use of doping substances and methods in athletes. Methods: The participants (n = 345; 56% male, 22 ± 5 years, 18–43 years) completed measures of sport supplement use, sport supplement beliefs, doping likelihood, and doping use. Based on the Australian Institute of Sport’s “Sports Supplement Framework”, the participants were asked whether they used 23 sport supplements from four categories (sport foods, medical supplements, performance supplements, other). They were also asked whether they used six classes of doping substances and methods (alphabodies, stimulants, steroids, erythropoietin, growth hormone, blood doping). Results: Sport supplements were used by 96% of the athletes, whereas doping substances were used by 4% of the athletes. Moreover, athletes who used more sport supplements also used more doping substances. The use of sport supplements was related to the use of doping substances both directly and indirectly via sport supplement beliefs and doping likelihood. Conclusions: Consumption of sport supplements is common, whereas doping is rare, and, moreover, the belief that sport supplements help optimize performance in competitive sport confers an increased risk for doping.
Proximal Fibula Resection for Tumors—Case Series and Technical Note
Authors: Hofer Reinhard , Valentini Marisa , Smolle Maria Anna , Leithner Andreas , Bergovec Marko
Published: November 2024

Background: The resection of tumors of the proximal fibula includes the removal of the lateral collateral ligament (LCL) and biceps femoris tendon (BFT) attachment. The aim was to describe and evaluate a surgical reconstruction technique in terms of functional outcome and knee joint stability. Methods: We analyzed the outcome of six patients, treated by a proximal fibula resection. The reconstruction of the attachments of the LCL and BFT was performed with two suture anchors, fixed onto the tibia at the level of the proximal tibiofibular joint (PTFJ). The postoperative knee flexion strength as well as the lateral knee joint stability were compared to the contralateral side using a digital scale and stress X-ray. Patient-reported outcome measures and postoperative complications were documented. Results: No lateral instability and no significant loss of knee flexion strength could be observed (p = 0.075). One persistent postoperative peroneus paresis was reported. High functional outcome was achieved with a mean MSTS score of 92.2%. Conclusions: The resection of the proximal fibula with the reinsertion of the LCL and the BFT using bone anchors in the PTFJ seems to provide a good functional outcome, with a low level of associated comorbidities.
Composite Materials Based on Spent Coffee Grounds and Paper Pulp
Authors: Bejenari Victoria , Danu Maricel , Ipate Alina-Mirela , Zaltariov Mirela-Fernanda , Rusu Daniela , Lisa Gabriela
Published: November 2024

The need for biodegradable and environmentally friendly materials is increasing due to resource shortages and rising levels of environmental pollution. Agro-food waste, which includes coffee grounds, is of great interest in the production of composite materials due to its low cost, low density, easy availability, non-abrasive nature, specific properties such as reduced wear on the machinery used, the absence of residues and toxic products, and biodegradable characteristics. The composite materials developed that include coffee grounds exhibit good characteristics. This field is evolving and requires further improvements, but, at this moment, it can be stated that coffee grounds are not just waste but can be transformed into a highly efficient material applicable in various domains. In this study, composite materials were prepared using paper pulp as a matrix, coffee grounds as a filler material, and water as a binding agent. The obtained composite materials were evaluated through thermal analysis, SEM, EDX, ATR-FTIR, and rheological behavior analysis. The composite materials created from paper pulp and coffee grounds proved to be effective for use in the production of seedling pots. The seedling pots created in this study are produced at a low cost, are environmentally friendly, exhibit thermal stability, have good stability over time, and have good resistance to deformation.
Optimizing the Material Extrusion Process for Investment Casting Mould Production
Authors: Rodríguez-González Pablo , Zapico Pablo , Peláez-Peláez Sofía , Castro-Sastre María Ángeles , Fernández-Abia Ana Isabel
Published: November 2024

This study investigates the optimization of the Material Extrusion (MEX) process for producing polylactic acid (PLA) patterns used in investment casting moulds, specifically targeting the casting of non-ferrous alloys such as brass. Key MEX process parameters—layer thickness, wall thickness, infill density, and post-processing with dichloromethane vapour for surface enhancement—were systematically analyzed for their impact on mould quality. Results indicate that an optimized combination of MEX parameters yields moulds with high dimensional accuracy, low surface roughness, and minimal pattern residue within the mould cavity. These optimized moulds were subsequently used in brass casting, with the final cast parts evaluated for dimensional precision and surface finish. The study concludes that PLA patterns manufactured via optimized MEX parameters provide a precise, cost-effective, and easy-to-implement solution for industry applications. Additionally, this process is environmentally friendly and presents clear advantages over other pattern-making methods, offering a sustainable alternative for producing complex metal parts with reduced environmental impact. The findings underscore the significant role of post-processing in enhancing mould quality and, consequently, the quality of the cast parts.
Potential of Stem-Cell-Induced Peripheral Nerve Regeneration: From Animal Models to Clinical Trials
Authors: Wynne Taylor M. , Fritz Virginia Grey , Simmons Zachary T. , Zahed Malek , Seth Ananya , Abbasi Tamir , Reymundi Michael J. , Roballo Kelly C. S.
Published: November 2024

Peripheral nerve injury has become an increasingly prevalent clinical concern, causing great morbidity in the community. Although there have been significant advancements in the treatment of peripheral nerve damage in recent years, the issue of long-term nerve regeneration remains. Furthermore, Wallerian degeneration has created an obstacle to long-term nerve regeneration. For this reason, there has been extensive research on the use of exogenous and endogenous stem cells as an adjunct or even primary treatment option for peripheral nerve injury. The plasticity and inducibility of stem cells make them an enticing option for initiating neuronal cell regrowth and optimal sensory and functional nerve regeneration. Peripheral nerve injury has a broad range of causative factors and etiologies. As such, unique stem cell-induced peripheral nerve treatments are being investigated to ameliorate the damage incited by all causes, including trauma, neuropathy, and systemic neurodegenerative diseases. This review is oriented to outline the potential role of stem cell therapies in peripheral nerve injury versus the current standards of care, compare the benefits and drawbacks of specific stem cell lines under investigation, and highlight the current models of stem cell therapy in the peripheral nervous system, with the ultimate goal of narrowing down and optimizing the role and scope of stem cell therapy in peripheral nerve injury.
Evaluation of Bone Biomarkers in Renal Osteodystrophy
Authors: Pichone Alinie , Gomes Carlos Perez , Moreira Carolina Aguiar , Farias Maria Lucia Fleiuss , Leite Maurilo
Published: November 2024

Renal osteodystrophy (ROD) represents histological bone changes in patients with chronic kidney disease and is classified according to turnover and mineralization. This cross-sectional study evaluates several bone biomarkers and their ability to discriminate turnover and mineralization defects in hemodialysis (HD) patients. Bone-specific [BSAP] and total [tAP] alkaline phosphatase, procollagen-1 N-terminal propeptide [P1NP], C-terminal cross-linking telopeptide [CTX], intact [iPTH] and whole [wPTH] parathyroid hormone, sclerostin [SOST], fibroblast growth factor 23 [FGF-23], vitamin D, osteoprotegerin [OPG], and receptor activator of nuclear factor κB ligand [RANKL] were collected before the bone biopsy. Thirty-two patients were evaluated by bone histomorphometry, which identified mineralization defects and low and high turnover in 47%, 50%, and 41% of patients, respectively. Bone biomarkers (tAP, BSAP, CTX, P1NP) and hormones (iPTH, wPTH, and SOST) were capable of identifying low and high turnover (AUC > 0.877 and >0.857, respectively, p < 0.001). PTH plus AP had the best accuracy for identifying high turnover. BSAP > 2x, iPTH > 8x, and wPTH > 6x upper limit of normal range identified high turnover. Lower calcium values (Ca < 8.7 mg/dL) were correlated with mineralization defects. On the other hand, FGF-23, OPG, and RANKL did not impact the turnover and mineralization. While bone histomorphometry is not widely available, bone biomarkers such as BSAP, P1NP, PTH, and calcium allow the assessment of turnover and mineralization defects in HD patients. Then, using bone biomarkers may help clinicians define treatments for ROD and osteoporosis and monitor therapeutic response.
Inflammatory Bowel Diseases and Nephropathies: Exploring the Gut–Kidney Axis
Authors: de Sire Roberto , La Mantia Alessia , Bonacci Livio , Testa Anna , Guarino Alessia Dalila , Rispo Antonio , Nardone Olga Maria , Castiglione Fabiana
Published: November 2024

Inflammatory bowel disease (IBD) can extend beyond the gastrointestinal tract, affecting extraintestinal organs and significantly increasing morbidity and mortality. Despite early studies revealing kidney involvement in nearly a quarter of patients with IBD, renal manifestations have been notably overlooked. Among these manifestations, nephrolithiasis, obstructive uropathy, and fistula formation between the bowel and urinary tract are the most reported occurrences. Additionally, renal parenchymal involvement in IBD, including glomerulonephritis (GN), tubulointerstitial nephritis, and amyloidosis, has been documented. GN is particularly noteworthy, as a significant proportion of patients progress to end-stage kidney disease (ESKD). Although GN has long been recognized as a potential extraintestinal manifestation (EIM) of IBD, it has often been dismissed as an anecdotal association. Recently, several studies highlighted the clinical correlation between GN and IBD, suggesting a pathogenic interplay involving gut inflammation, dysbiosis, and intrinsic glomerular processes. Thus, our objective is to elucidate the basis of IBD-related nephropathies, with a specific focus on IgA nephropathy (IgAN) and the gut–kidney axis.