Search Results (22,800)

As societies continue to age, brain tumors increasingly affect older patients. Still, large-scale evidence on whether the relationship between age and brain tumor has been evolving over time is scarce. We examined longitudinal trends among different age groups of patients with brain tumors at 78 German hospitals. Two time periods were compared as follows: phase 1 (1 January 2016–31 December 2019; pre-pandemic) and phase 2 (1 January 2020–31 December 2022; pandemic). Patients were categorized as non-elderly (<65 years) or elderly (≥65 years), and according to 10-year age brackets. The clinical condition was quantified using the Elixhauser Comorbidity Index (ECI) and the Hospital Frailty Risk Score (HFRS). Among the 20,005 patients included, changes in characteristics of non-elderly/elderly patients over time behaved similarly, with improvements in ECI (19.3 to 18.4/15.2 to 14.3; each p < 0.01) and HFRS (2.1 to 1.6/4.7 to 4.1; each p < 0.01), and increases in rates of brain tumor resection (26.1% to 31.8%/22.7% to 27.8%; each p < 0.01). Only patients aged 75–84 years did not follow any of those trends. Over the examined 7-year period, general trends in brain tumor care in elderly subjects resembled those observed in non-elderly patients, except for those aged 75–84 years. Full article

Inconsistent presentation of STAT3 variants in clinical settings makes them challenging to use in diagnostics and the prevention of unfavorable outcomes. Patients harboring the STAT3^R152W variant display a range of autoimmune disorders, including type 1 diabetes, hemolytic anemia, and thrombocytopenia. Because of a complex interplay of genetic and environmental cofactors, it is difficult to discern the direct role STAT3 plays in the development of those conditions. Here, we report a mouse model of the STAT3^R152W variant and describe its hematopoietic populations throughout adulthood. We observed profound changes in both innate and adaptive immunity, including increased splenic Th17 component consistent with a gain-of-function mutation, as described in the literature. At the same time, the mice did not develop obvious symptoms of autoimmunity. R152W mutants show lowered hemoglobin and hematocrit, indicating susceptibility to anemia, but also an increased number of thrombocytes, contradictory to reports of autoimmune thrombocytopenia. We showcase how those changes develop and wane in time, and the differences between male and female animals. Our findings paint the STAT3^R152W variant as a cause of severe immune dysregulation, but only as a cofactor in the development of autoimmunity. Full article

Background/Objectives: Hydrocephalus is a complex neurological disorder marked by abnormal cerebrospinal fluid dynamics and ventricular enlargement. Despite breakthroughs in neuroimaging, diagnosis and longitudinal the application of imaging markers for the diagnosis and longitudinal monitoring of hydrocephalus remains challenging in routine clinical practice. The present study examines the behavior and cross-modality agreement of commonly used linear ventricular measurements under routine imaging conditions, at a single Romanian tertiary-care center characterized by heterogeneous acquisition protocols and limited availability of advanced volumetric techniques. Methods: We conducted a single-center retrospective observational study of 68 adults with hydrocephalus. Linear ventricular metrics, including Evans index and third-ventricle width, were measured on all available CT and MRI scans. CT–MRI agreement was assessed using paired examinations within a 90-day window. Longitudinal changes were analyzed using first–last and pre–post VP shunt comparisons. Associations between baseline imaging features and VP shunt placement were evaluated using rule-based and odds ratio analyses. Results: CT and MRI measurements demonstrated strong agreement for both Evans index (r = 0.93) and third-ventricle width (r = 0.90), with minimal systematic bias. Longitudinal analyses demonstrated small-magnitude changes in ventricular size following intervention, with substantial inter-individual variability. VP utilization increased across Evans index strata, reaching 100% in patients with values ≥0.50. Transependymal cerebrospinal fluid exudation showed the strongest association with subsequent VP shunting. Imaging-based rules exhibited expected trade-offs between sensitivity and specificity. Conclusions: Standard linear ventricular parameters exhibited adequate cross-modality agreement and clinically important longitudinal behavior in this cohort. While insufficient as standalone predictors, these readily available imaging markers remain important tools when combined with a comprehensive clinical assessment. Full article

Background: Manual review of EEG recordings in clinical settings is inherently time-consuming and labor-intensive. These challenges highlight a pressing need for automated EEG analysis tools capable of supporting clinicians by improving efficiency and diagnostic accuracy. Objectives: This study aims to develop and validate an AI-based model for the automated interpretation of adult EEG recordings. Unlike previous approaches that emphasize seizure detection during ictal states, our model targets the early prediction of seizure risk through systematic annotation and recognition of interictal patterns. Methods: The model is designed to accurately distinguish between normal and abnormal EEGs, encompassing both interictal and ictal activity. Abnormal EEGs will be further classified into three clinically relevant categories: (1) non-epileptiform abnormalities such as focal or diffuse slowing, (2) epileptiform discharges, and (3) electrographic seizures. Three AI-based classification algorithms were implemented: Support Vector Machine (SVM), Random Forest (RF), and K-Nearest Neighbors (KNN). Results: RF demonstrated optimal performance across most tasks, achieving 96.50% accuracy for normal activity identification. This AI-driven system enhances the efficiency, consistency, and accessibility of EEG interpretation. It is particularly valuable in settings with limited access to neurophysiologists and offers an innovative approach to improving diagnostic timelines and clinical decision-making. Conclusions: Ultimately, this tool will support physicians in diagnosing neurological conditions and monitoring patient progress over time. Full article

Background/Objectives: Hyperbaric Oxygen Therapy (HBOT) involves breathing oxygen at pressures greater than atmospheric levels and is used to treat diverse clinical conditions. However, little is known about the lived experiences and perceived needs of patients undergoing scheduled treatment in multiplace hyperbaric chambers, where nurses play a key role in support, safety, and communication. This study aimed to explore the perceptions, expectations, and needs of patients receiving scheduled HBOT sessions in a multiplace chamber in a hospital setting. Methods: A qualitative phenomenological design was used. Participants were recruited consecutively among adults who had completed at least 10 HBOT sessions and demonstrated adequate cognitive function. Individual semi-structured interviews were conducted between January and March 2023 in locations chosen by participants. Interviews were audio-recorded, transcribed, and validated by participants. Results: Twelve participants (eight men, four women; aged 25–84 years) were included. Four thematic areas emerged: (1) Biopsychosocial lived experiences, including initial uncertainty, physical discomfort such as ear pressure or mask-related issues, and progressive recognition of therapeutic benefits. (2) Interpersonal relationships, highlighting trust, security, and emotional support provided mainly by nurses. (3) Communication experiences, with participants expressing satisfaction but requesting clearer, earlier information on procedures, risks, and expected sensations. (4) Structural and organizational factors, where transportation logistics and treatment scheduling were significant sources of fatigue and discomfort. Conclusions: Patients valued HBOT and perceived notable health improvements, while identifying specific unmet informational and organizational needs. These findings suggest the importance of nurse-led educational interventions to enhance preparation, reduce anxiety, and optimize patient experience during HBOT. Full article

Type 2 myocardial infarction (T2MI) is defined as myocardial necrosis caused by an imbalance between oxygen supply and demand in the absence of acute atherothrombotic coronary occlusion/erosion. Unlike type 1 myocardial infarction (T1MI), T2MI comprises a heterogeneous group of clinical scenarios, often triggered by systemic or cardiac conditions, and it frequently affects elderly patients with a high burden of comorbidities. T2MI often underline multivessel coronary artery disease and, despite its growing clinical relevance, the diagnostic and therapeutic approach to T2MI remains challenging and lacks standardized recommendations. In this review, we present an updated and a comprehensive synthesis of current evidence on the diagnosis and management of T2MI, focusing on the role of coronary angiography and interventional strategies. We discuss the utility of high-sensitivity cardiac biomarkers, imaging modalities, and clinical risk scores to guide patient selection for invasive evaluation. Specific attention is given to conservative and alternative revascularization approaches—including drug-coated balloon angioplasty and stentless percutaneous coronary intervention (PCI)—in frail and high-bleeding-risk patients. The review emphasizes the need for individualized decision-making in a population where standard invasive strategies may not always be appropriate, and where a tailored balance between ischemic and hemorrhagic risk is crucial. Full article

Inflammatory and immune-mediated skin diseases are increasingly recognized as disorders in which genetic susceptibility is shaped and sustained by environmentally responsive regulatory programs. Psoriasis, atopic dermatitis (AD), vitiligo, systemic sclerosis (SSc), lupus erythematosus (LE), and lichen planus (LP) are clinically distinct, yet they share chronic or relapsing inflammation, tissue remodeling, and limited durability of many current therapies. Because genetic variation alone cannot fully explain disease onset, flare dynamics, heterogeneity in severity, or lesion recurrence, epigenetic mechanisms have emerged as a plausible link between environmental exposures and stable disease phenotypes in skin. Epigenetic regulation, including DNA methylation, histone modifications, and non-coding RNA networks, controls cell-type-specific transcription without altering the DNA sequence and may contribute to persistent inflammatory states and disease memory despite clinical improvement. The current review synthesizes primary preclinical and translational evidence on epigenetic-targeted therapeutic strategies across these conditions, focusing on interventions that modulate DNA methylation, histone acetylation and deacetylation, histone methylation, chromatin-associated regulatory proteins, and RNA-based approaches. We compare the maturity of therapeutic development across diseases, noting that research and intervention studies are concentrated in psoriasis and AD, whereas evidence for vitiligo, SSc, LE, and LP remains more limited and often derived from systemic or non-cutaneous models. Finally, we outline key gaps that currently restrict clinical translation and discuss why bridging them is essential for determining whether epigenetic modulation can move beyond proof-of-concept toward durable and clinically actionable interventions in inflammatory skin disease. Full article

Chronic pain is a highly prevalent and disabling condition with a well-documented female predominance in incidence, severity and persistence. These sex differences are driven by sexually dimorphic neuroimmune mechanisms rather than psychosocial factors alone. This systematic review was conducted to comprehensively synthesize human clinical and translational evidence on sex-specific neuroimmune and glial cell pathways underlying chronic pain. Scientific literature was systematically searched from database inception to December 2025 across multiple biomedical databases to identify relevant clinical and translational studies. Across pain conditions, convergent evidence demonstrated that chronic pain mechanisms diverge by sex at cellular and molecular levels. Male-predominant pathways were characterized by microglial activation, particularly P2X4 receptor–mediated signaling and brain-derived neurotrophic factor–dependent neuronal disinhibition, supported by neuroimaging, transcriptomic, and pharmacological data. In contrast, female-predominant mechanisms involved adaptive immune processes, including CD4⁺ and CD8⁺ T cell infiltration, pannexin-1–dependent leptin release, chemokine signaling, and astrocyte-mediated neuroimmune crosstalk. Sex-specific cytokine and chemokine profiles, differential glial activation patterns, and divergent neuroimmune–endocrine interactions further distinguished pain pathways between males and females. Despite consistent mechanistic trends, substantial heterogeneity within each sex, limited sex-stratified power in many studies, and variability in outcome measures constrained quantitative synthesis and generalizability. The findings indicate that chronic pain is not a unitary disorder but rather a collection of mechanistically distinct conditions shaped by biological sex. These results highlight the limitations of sex-neutral therapeutic strategies and support the development of precision medicine approaches incorporating sex-informed neuroimmune biomarkers and mechanism-matched interventions. Future studies should prioritize adequately powered sex-stratified analyses, integration of neuroimmune biomarkers and clinical trial designs capable of detecting sex-by-treatment interactions. Full article

Background/Objectives: Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a multifactorial condition often refractory to standard medical therapy. Low-intensity extracorporeal shock wave therapy (Li-ESWT) is a mechanism-oriented option; however, prior reviews reported substantial heterogeneity, potentially due to pooling different wave-generator modalities despite their distinct physical properties. This study synthesized randomized evidence on Li-ESWT for CP/CPPS and explored a wave-generator modality as a prespecified effect modifier. Methods: PubMed, Embase, Web of Science, and the Cochrane Library were searched from January 2015 to 31 October 2025 (date of last search) for randomized controlled trials (INPLASY: 2025120064). Eligible studies compared Li-ESWT (focused, radial, or multifocal) with sham or standard medical therapy (SMT). The primary outcome was total NIH-CPSI at the follow-up closest to 12 weeks. Pooled effects were calculated as weighted mean differences (WMDs) with 95% confidence intervals (CIs). Prespecified subgroup analyses were performed by wave-generator modality and therapy strategy (monotherapy vs add-on to SMT). Results: Eight RCTs (n = 455) were included. Li-ESWT significantly improved total NIH-CPSI versus the control (WMD −8.46; 95% CI −12.12 to −4.79; I² = 94.8%). Benefits were observed in both monotherapy and the add-on to SMT trials. By modality, focused devices showed consistent effects (WMD −6.59; I² = 0.0%), whereas radial devices showed an imprecise estimate with extreme heterogeneity (WMD −10.38; 95% CI −21.33 to +0.57; I² = 98.2%). Multifocal devices showed a significant benefit (WMD −10.84; I² = 81.0%). Improvements were mainly driven by pain-domain reduction. Conclusions: Li-ESWT provides clinically meaningful symptom relief in CP/CPPS, predominantly through pain reduction. Modality- and strategy-based subgroup findings are exploratory given substantial heterogeneity, limited trials, and no head-to-head comparisons; focused devices showed consistent effects, whereas estimates for radial and multifocal devices warrant cautious interpretation. Full article

Background/Objectives: Oxidative stress and extracellular redox alterations are involved in the pathophysiology of essential hypertension, but their clinical assessment is limited by the invasiveness and preanalytical complexity of blood-based measurements. Urine represents an attractive non-invasive biological matrix; however, the relationship between urinary and plasma DTNB-reactive reduced thiols in hypertensive patients remains insufficiently characterized. This study aimed to evaluate the association between plasma and urinary reduced thiols in essential hypertension. Methods: In this paired observational study, plasma and urine samples were obtained from 40 patients with treated essential hypertension. Reduced thiols were quantified using a DTNB-based colorimetric assay under identical analytical conditions. Plasma thiols were normalized to total plasma protein concentration, and urinary thiols were normalized to creatinine. Associations between plasma and urinary thiols were assessed using non-parametric correlation analyses. Results: Protein-normalized plasma thiols and creatinine-normalized urinary thiols showed a significant positive correlation (Spearman’s ρ ≈ 0.7, p < 0.001). Conclusions: In patients with essential hypertension, creatinine-normalized urinary reduced thiols are strongly associated with protein-normalized plasma reduced thiols, as measured by the DTNB reaction method. These findings provide hypothesis-generating evidence that urinary thiols may reflect extracellular thiol-related redox alterations, warranting further validation in independent and more diverse cohorts. Full article

Bicuspid Aortic Valve (BAV) disease is recognized as the most common congenital heart condition and is frequently associated with complex valvular and aortic disorders. Cardiovascular computed tomography (CT) has become essential for diagnosing BAV, planning procedures, and evaluating patients after treatment. This is largely due to CT’s high spatial resolution and its ability to perform volume imaging effectively. This review provides an up-to-date overview of the increasing role of cardiovascular CT in the management of bicuspid aortic valve (BAV). It covers various aspects, including BAV morphology, optimal sizing for transcatheter aortic valve replacement (TAVR), and post-procedural monitoring. We highlight significant innovations, such as supra-annular sizing techniques and artificial intelligence (AI)-guided analysis, that position CT at the nexus of anatomy, function, and targeted treatment. Additionally, we address controversies concerning inconsistencies in sizing algorithms, recent classification challenges, and radiation exposure. Future development areas include AI predictive tools, radiomic phenotyping, and CT-guided precision medicine. This synthesis aims to provide clinicians and researchers with a high-level guide to the clinical integration of cardiovascular CT and its future in the BAV population. This review provides the most current, comprehensive synthesis on the pivotal role of cardiovascular CT in BAV management, offering a roadmap for integrating advanced imaging into clinical practice and guiding future research priorities. Full article

Objectives: This study aimed to identify key predictors of prolonged hospitalization in children with community-acquired pneumonia by comparing demographic and clinical characteristics between patients with expected and extended hospital stays. Methods: A retrospective cohort study was conducted for children younger than 15 years hospitalized with pneumonia between May 2015 and March 2020. Patients with hospital-acquired pneumonia or additional diagnoses were excluded. Demographic and clinical variables were collected. Statistical analysis, including logistic regression, was performed using SPSS v28 to identify independent predictors of prolonged hospitalization. Results: A total of 455 pediatric patients were included, with a median age of 2 years and a median length of stay of 6 days. Prolonged hospitalization occurred in 27.5% (n = 125) of cases. Gender distribution did not differ significantly between groups (p = 0.727). Significant predictors of prolonged hospitalization included moderate-to-severe pneumonia (p < 0.001, OR = 9.7, 95% CI = 3.1–30.9), pneumonia complications (p = 0.019, OR = 15.16, 95% CI = 1.57–146.3), and underlying chronic conditions (p = 0.009, OR = 2.88, 95% CI = 1.3–6.4). While hypoxia, ventilatory support, and bacteremia were associated with prolonged stay, they did not emerge as independent predictors in the final multivariable model. Conclusion: Prolonged hospitalization in pediatric pneumonia is strongly associated with increased disease severity, complications, and chronic comorbidities. Early identification of high-risk patients may facilitate targeted management strategies, improve outcomes, and reduce healthcare burden. Full article

Metabolic inflammation, a state of chronic low-grade inflammation linked to insulin resistance, plays a central role in the development of obesity-related conditions such as type 2 diabetes, non-alcoholic fatty liver disease (NAFLD), and cardiovascular disorders. In recent years, two molecules have gained significant prominence in this field, owing to their mechanistic involvement in metabolic inflammation and insulin resistance: fetuin-A (FetA), aliver-derived hepatokine, and chymase, a serine protease released from mast cells. Although they arise from distinct biological sources, they converge on overlapping inflammatory and metabolic pathways. FetA acts as an endogenous ligand for Toll-like receptor 4 (TLR4), activating nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling, driving proinflammatory cytokine release, and impairing insulin signaling. Chymase, on the other hand, generates angiotensin II and activates transforming growth factor-β (TGF-β), thereby promoting oxidative stress, fibrosis, and secondary metabolic dysfunction. This review proposes a conceptual dual-target framework in which FetA and chymase are considered complementary, rather than independent, mediators of metabolic inflammation. Importantly, this framework is not intended to supersede other established pathways implicated in metabolic inflammation, but rather to provide an integrative perspective that complements existing hepatokine and immune-centered models. Their convergence on NF-κB and TGF-β signaling pathways highlights shared mechanistic nodes within metabolic inflammation. Accordingly, the emphasis of this review is on mechanistic integration within metabolic inflammation, rather than on immediate therapeutic innovation or clinical translation. Full article

Background/Objectives: Opioid use disorder (OUD) is a chronic relapsing condition associated with elevated mortality and substantial psychiatric and somatic comorbidity. Oral methadone and sublingual and depot buprenorphine are the undisputed gold standard in opioid agonist treatment (OAT). More recently, another oral buprenorphine formulation, buprenorphine lyophilisate (BUP-Lyo), has been introduced into clinical practice, offering potentially faster bioavailability and simplified administration. This review aims to summarize the available clinical and pharmacological data on BUP-Lyo and assess its potential role within current OAT strategies. Methods: A targeted Medline search was performed to identify publications reporting pharmacological characteristics, safety, efficacy, and clinical use of BUP-Lyo. Additional information was requested from the manufacturer. Relevant sources were reviewed narratively with a focus on OUD treatment, with particular attention to the pharmacological and clinical profile of the compound. Results: Few studies on BUP-Lyo have been published to date. As a rapid-dispersion formulation placed on the tongue, BUP-Lyo provides faster bioavailability and a quicker route of administration compared with conventional sublingual buprenorphine. These properties may reduce the need for post-administration supervision and could lessen risks of misuse or diversion. Available evidence supports its safety, efficacy, and feasibility within routine OAT, and the clinical implications of these characteristics are discussed. Conclusions: BUP-Lyo expands the range of available buprenorphine formulations and offers practical advantages through accelerated absorption and simplified administration. While initial data are encouraging, the limited evidence base underscores the need for further longitudinal and post-marketing studies to define its clinical position in the management of OUD. Full article

Accurate spatiotemporal alignment of multi-view video streams is essential for a wide range of dynamic-scene applications such as multi-view 3D reconstruction, pose estimation, and scene understanding. However, synchronizing multiple cameras remains a significant challenge, especially in heterogeneous setups combining professional- and consumer-grade devices, visible and infrared sensors, or systems with and without audio, where common hardware synchronization capabilities are often unavailable. This limitation is particularly evident in real-world environments, where controlled capture conditions are not feasible. In this work, we present a low-cost, general-purpose synchronization method that achieves millisecond-level temporal alignment across diverse camera systems while supporting both visible (RGB) and infrared (IR) modalities. The proposed solution employs a custom-built LED Clock that encodes time through red and infrared LEDs, allowing visual decoding of the exposure window (start and end times) from recorded frames for millisecond-level synchronization. We benchmark our method against hardware synchronization and achieve a residual error of 1.34 ms RMSE across multiple recordings. In further experiments, our method outperforms light-, audio-, and timecode-based synchronization approaches and directly improves downstream computer vision tasks, including multi-view pose estimation and 3D reconstruction. Finally, we validate the system in large-scale surgical recordings involving over 25 heterogeneous cameras spanning both IR and RGB modalities. This solution simplifies and streamlines the synchronization pipeline and expands access to advanced vision-based sensing in unconstrained environments, including industrial and clinical applications. Full article