Search Results (363)

Osteochondritis Dissecans (OCD) is a joint condition characterized by damage to the surface of the joint and the underlying subchondral bone, leading to early-onset osteoarthritis. It predominantly affects the knee, elbow, and ankle, with higher prevalence in juveniles actively participating in sports, which complicates the condition due to slow healing processes and prolonged restrictions on physical activities. This review aims to summarize current knowledge on OCD in athletes, with emphasis on sport-specific risk factors, diagnosis, and treatment, to support clinical decision-making and future research. We conducted searches in the PubMed and Embase databases, covering the period from 2014 to 2024. The keywords used in the search covered most common sports in combination with term osteochondritis dissecans. This review examines the impacts of various sports on the development of OCD, analyzing prevalence and risk factors, with a focus on sports-specific risks across athletic disciplines like football, basketball, baseball, and gymnastics. The significance of early detection, intervention, and sport-specific conditioning is underscored to prevent the condition and manage it effectively. Moreover, the review highlights the positive prognosis for athletes, particularly adolescents, recovering from OCD, with a high rate of return to sport. Understanding the sports-specific risks, ensuring early intervention, and adopting a cautious, stepwise return to sport are critical for managing OCD effectively, thereby safeguarding the health and careers of athletes. Full article

Chronic Obstructive Pulmonary Disease (COPD) is a multifactorial condition associated with significant systemic complications such as cardiovascular disease (CVD), metabolic disorders, muscle wasting, and sarcopenia. While Body Mass Index (BMI) is a well-established indicator of obesity and has prognostic value in COPD, its role in predicting disease outcomes is complex. Muscle wasting is prevalent in COPD patients and exacerbates disease severity, contributing to poor physical performance, reduced quality of life, and increased mortality. Additionally, COPD is linked to metabolic disorders, such as dyslipidemia and diabetes, which contribute to systemic inflammation and worse prognosis and, therefore, should be treated. The systemic inflammatory response plays a central role in the development of sarcopenia. In this review, we highlight the mixed efficacy of statins in managing dyslipidemia in COPD, considering side effects, including muscle toxicity in such a frail population. Alternative lipid-lowering therapies and nutraceuticals, in addition to standard treatment, have the potential to target hypercholesterolemia, which is a coexisting condition present in more than 50% of all COPD patients, without worsening muscle wasting. The interference between adipose tissue and lung, and particularly the potential protective role of adiponectin, an adipocytokine with anti-inflammatory properties, is also reviewed. Respiratory, metabolic and muscular health in COPD is comprehensively assessed. Identifying and managing dyslipidemia and paying attention to other relevant COPD comorbidities, such as sarcopenia and muscle wasting, is important to improve the quality of life and to reduce the clinical burden of COPD patients. Future research should focus on understanding the relationships between these intimate mechanisms to facilitate specific treatment for systemic involvement of COPD. Full article

Objectives: This study aimed to investigate the relationship between the anticoagulation and risk factors in atrial fibrillation (ATRIA) score and initial stroke severity in patients with acute ischemic stroke of varying etiologies, including atrial fibrillation (AF), large-artery atherosclerosis, and undetermined origin. Methods: In this prospective observational study, 416 patients admitted with acute ischemic stroke between June 2022 and December 2024 were analyzed. Stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS), and patients were categorized into two groups: mild-to-moderate (NIHSS ≤ 15) and moderate-to-severe/severe (NIHSS > 15). Pre-admission ATRIA scores were calculated based on demographic and clinical parameters. Multivariable logistic regression was performed to assess the association between ATRIA scores and stroke severity. Results: Patients with more severe strokes had significantly higher ATRIA scores (median 8.5 vs. 5.0, p < 0.001). AF was more frequent in the severe group (44.8% vs. 31.3%, p = 0.037). In multivariable analysis, each one-point increase in the ATRIA score was independently associated with a 1.82-fold increase in the odds of severe stroke (OR 1.823, 95% CI 1.568–2.119, p < 0.001). High ATRIA scores (>6) were associated with an 11.7-fold increased risk of severe stroke (OR 11.692, 95% CI 5.636–24.255, p < 0.001), independent of stroke etiology, ejection fraction, and inflammatory markers. Conclusions: The ATRIA score is independently associated with initial stroke severity across diverse ischemic stroke etiologies. It may serve as a simple, practical tool for early risk stratification in the acute setting, regardless of AF status. Further studies are warranted to confirm its utility in guiding early management and prognosis. Full article

Background and Clinical Significance: Brenner tumors are rare epithelial tumors that can occur in both males and females. They consist of ovarian transition cells surrounded by dense fibrous tissue and can be classified as benign, borderline, or malignant. While most commonly found in the ovary, extraovarian Brenner tumors (EOBTs) have been reported in the uterus, vagina, broad ligament, and omentum. Case Presentation: A 71-year-old postmenopausal woman presented with a polypous formation on the upper third of the posterior vaginal wall, which was found at a routine health check. Macroscopically, the lesion appeared as a solid, polypoid mass with a yellowish-gray cut surface, measuring approximately 25 × 20 mm. Histological examination revealed a polypoid formation covered by stratified squamous epithelium, with a dense fibrous stroma (Van Gieson [VG]+) and tubular structures lined by clear epithelial cells. Parenchymal cells showed low proliferative activity, with Ki-67 expression in less than 5% of cells, also Cytokeratin (CK) 7/+/p63:/+/ CK AE1/AE3: /+/ Estrogen Receptor (ER): /+/ and Progesterone Receptor (PR)/−/; CK20/-/; p53/−/, Wilms’ Tumor (WT)-1/−/; Prostate-Specific Acid Phosphatase (PSAP)/−/. The final diagnosis was an extraovarian Brenner tumor. The patient was monitored for two months post-excision, with no signs of recurrence. Conclusions: EOBTs are extremely rarely seen and vaginal involvement is far less common. Due to their rarity, these tumors may be confused with other benign or malignant vaginal lesions. In order to differentiate EOBTs from other neoplasms, histological analysis is crucial due to their characteristic transitional-type epithelium and large fibrous stroma. Further studies are required to understand the origin and clinical behavior of EOBTs. Long-term monitoring should be performed to look for any recurrence or malignant change, even though benign Brenner tumors usually have a good prognosis. Awareness of EOBTs and their possible locations is essential for accurate diagnosis and appropriate management. Full article

Background: Oral squamous cell carcinoma (OSCC), which accounts for over 90% of all oral malignancies, remains a major global health challenge due to its aggressive clinical course and poor prognosis. Periodontitis, a widespread chronic inflammatory condition affecting the supporting structures of the teeth, has increasingly been implicated as a potential risk factor for the development of various cancers. Emerging evidence suggests that microbial dysbiosis within the oral cavity may contribute to the creation of a pro-tumorigenic microenvironment, thereby promoting tumor initiation and progression. Nevertheless, the precise mechanisms linking periodontitis to OSCC, particularly through alterations in the oral microbiota, remain insufficiently understood. This article seeks to comprehensively analyze the association between periodontitis and OSCC and to elucidate the potential role of oral microbiota dysbiosis in mediating this relationship. Methods: In this study, a ligature-induced periodontitis model was established in C57BL/6J mice, and after two weeks, an OSCC model was introduced by the subcutaneous injection of SCC-7 cells to investigate the impact of periodontitis on OSCC progression. The effects of periodontitis on OSCC cell proliferation and invasion were assessed using scratch wound healing assays and CCK-8 proliferation assays. 16S rDNA high-throughput sequencing was conducted to profile the microbial communities present in the oral cavity and OSCC tissues, with particular emphasis on α-diversity indices (including Pielou’s evenness and Chao1 richness) and taxonomic composition at both the phylum and class levels. Furthermore, qPCR was utilized to assess the expression levels of cytokines in both periodontal and OSCC tissues, thereby elucidating the inflammatory milieu, potentially linking periodontitis to OSCC progression. Results: Our findings demonstrated that periodontitis significantly promoted OSCC growth and enhanced the invasive potential of OSCC cells. Microbial profiling revealed marked alterations in both the oral and OSCC microbiota, characterized by significant shifts in community composition and increased microbial diversity. Notably, these microbial changes exhibited consistent patterns between the oral cavity and the OSCC microenvironment, suggesting a potential mechanistic link between periodontitis-associated dysbiosis and OSCC progression. Consistently, qPCR analysis revealed elevated expression levels of IL-1β, IL-10, and IL-18 in both periodontal and OSCC tissues, providing evidence that the microbial alterations were accompanied by intensified inflammatory responses, which may contribute to OSCC progression. Conclusions: This study underscores the intricate interplay between periodontitis-induced microbial dysbiosis and the development of oral squamous cell carcinoma (OSCC). The findings suggest that periodontal inflammation, together with associated shifts in the oral microbiota, acts synergistically to drive OSCC progression. The elevated expression of cytokines further supports the role of a pro-inflammatory tumor microenvironment in mediating this interaction. These results offer important insights into the microbial and inflammatory mechanisms underlying the connection between periodontitis and OSCC, highlighting the critical role of maintaining periodontal health in the prevention and management of OSCC. Full article

Background: Mongolia has a high incidence of hepatocellular carcinoma (HCC), with 85.6 cases per 100,000 population and 70% diagnosed at an advanced stage. HCC accounts for 35% of all cancer-related deaths in the country. The primary treatment for HCC remains hepatotectomy. This study aims to investigate the factors affecting the prognosis of patients undergoing liver resection for HCC in Mongolia. Materials and Methods: A retrospective cohort study was conducted using data from the National Cancer Centre’s eHealth program and cancer registry. The study enrolled 1100 patients who underwent liver resection from 2015 to 2018, with a follow-up period of 5.25–9.25 years to determine survival rates. Results: The study included 980 patients, with a male-to-female ratio of 1.2:1 and an average age of 60 years. Tumour stage II patients had the highest survival rate (46.55%), and those with stage IIIb had the lowest (1.51%) (p = 0.0001). Smaller tumours (≤5 cm) were associated with better survival (p = 0.0006). Histologically, 19.4% had liver cirrhosis, and 80.7% had liver fibrosis. The preoperative median AFP level was 23.9 ng/mL (range 0–121,000 ng/mL). The average survival time post-liver resection was 6.675 years (p = 0.0006). Factors such as blood loss (p = 0.0004), vascular invasion (MaVI-p < 0.0001, MVI p = 0.0011), tumour size ≤ 5 cm (p = 0.0007), and elevated AST and ALT levels significantly influenced long-term survival (p = 0.0004, respectively). Conclusions: The study identified key prognostic factors influencing survival rates in HCC patients post-liver resection. Minimising blood loss, early detection, and managing vascular invasion, along with early-stage detection and treatment, are crucial for improving patient outcomes. Full article

Background: Diabetes significantly increases the risk of atrial fibrillation (AF), but identifying high-risk individuals remains a clinical challenge. This study aimed to improve AF risk stratification in diabetic patients through a combination of clinical modeling and untargeted metabolomic analysis. Methods: A clinical risk score was developed using data from the National Health and Nutrition Examination Survey (NHANES) and validated in an independent cohort from Tongji Hospital. Its association with long-term outcomes and its ability to predict AF recurrence after catheter ablation were assessed in follow-up studies. Additionally, untargeted plasma metabolomics was performed in a subset of diabetic patients with and without AF to explore underlying mechanism. Results: The risk score showed good predictive performance in both the development and validation cohorts and was significantly associated with clinical prognosis. When combined with left atrial diameter and AF type, it also improved the prediction of AF recurrence after ablation. Metabolomic profiling revealed notable disturbances in energy metabolism, heightened inflammatory activity, and elevated stress responses in AF patients, indicating a distinct metabolic risk profile. Conclusions: This study provided two approaches to identify high-risk AF in diabetic patients, discussed the underlying pathophysiological mechanisms, and compared their characteristics and applications. And integrated strategies could improve AF risk stratification and personalized management in the diabetic. Full article

Skeletal muscle, traditionally recognized for its motor function, has emerged as a key endocrine organ involved in metabolic regulation and interorgan communication. This narrative review addresses the dual role of muscle as a target tissue for classical hormones—such as growth hormone (GH), insulin-like growth factor type 1 (IGF-1), thyroid hormones, and sex steroids—and as a source of myokines, bioactive peptides released in response to muscle contraction that exert autocrine, paracrine, and endocrine effects. Several relevant myokines are discussed, such as irisin and Metrnl-like myokines (Metrnl), which mediate exercise-associated metabolic benefits, including improved insulin sensitivity, induction of thermogenesis in adipose tissue, and immunometabolic modulations. It also examines how muscle endocrine dysfunction, caused by chronic inflammation, hormone resistance, or sedentary lifestyle, contributes to the development and progression of metabolic diseases such as obesity, type 2 diabetes, and sarcopenia, highlighting the importance of muscle mass in the prognosis of these pathologies. Finally, the therapeutic potential of interventions aimed at preserving or enhancing muscle function—through physical exercise, hormone therapy and anabolic agents—is highlighted, together with the growing research on myokines as biomarkers and pharmacological targets. This review expands the understanding of muscle in endocrinology, proposing an integrative approach that recognizes its central role in metabolic health and its potential to innovate the clinical management of endocrine–metabolic diseases. Full article

About a quarter of COVID-19 patients develop acute kidney injury (AKI), worsening prognosis and increasing mortality. Severe COVID-19 often triggers a hyperactive immune response, influencing disease outcomes. This study examined the correlation between kidney injury biomarkers, inflammatory mediators, and mortality in COVID-19 patients. Blood samples from 390 COVID-19 patients were collected at admission and before the outcome. Serum Cystatin C (CysC), albumin, and plasma NGAL were measured via nephelometry, while inflammatory mediators (IL-4, IL-6, IL-10, IL-15, IFN-γ, TNF-α, and IL-1β) were assessed by ELISA. Most patients were male, with hypertension and diabetes as common comorbidities, and a high ICU admission rate. Lower albumin and elevated CysC and NGAL were linked to mortality. Increased inflammatory mediators correlated with lower albumin and higher CysC and NGAL, reinforcing the connection between systemic inflammation and kidney dysfunction. Elevated cytokines and kidney injury biomarkers, including NGAL, CysC, and low albumin, are strongly associated with higher mortality in COVID-19 patients. These findings highlight the role of inflammation and kidney function markers in identifying high-risk individuals, improving patient management, and mitigating complications. Monitoring these biomarkers remains crucial for managing long-term health impacts and future outbreaks Full article

Advances in high-throughput technologies, digital phenotyping, and increased accessibility of publicly available datasets offer opportunities for big data to be applied in infectious disease surveillance, diagnosis, treatment, and outcome prediction. Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools to analyze complex clinical and molecular data. However, it remains unclear which AI or ML models are most suitable for infectious disease management, as most existing studies use non-scoping literature reviews to recommend AI and ML models for data analysis. This scoping literature review thus examines the ML models and applications that are most relevant for infectious disease management, with a proposed actionable workflow for implementing ML models in clinical practice. We conducted a literature search on PubMed, Google Scholar, and ScienceDirect, including papers published in English between January 2020 and April 2024. Search keywords included AI, ML, public health, surveillance, diagnosis, prognosis, and infectious disease, to identify published studies using AI and ML in infectious disease management. Studies without public datasets or lacking descriptions of the ML models were excluded. This review included a total of 77 studies applied in surveillance, prognosis, and diagnosis. Different types of input data from infectious disease surveillance, clinical diagnosis, and prognosis required different ML and AI models to achieve the maximum performance in infectious disease management. Our findings highlight the potential of Explainable AI and ensemble learning models to be more broadly applicable in different aspects of infectious disease management, which can be integrated in clinical workflows to improve infectious disease surveillance, diagnosis, and prognosis. Explainable AI and ensemble learning models can be suitably used to achieve high accuracy in prediction. However, as most of the studies have not been validated in different cohorts, it remains unclear whether these ML models can be broadly applicable to different populations. Nonetheless, the findings encourage deploying ML and AI to complement clinicians and augment clinical decision-making. Full article

Background: Pleural empyema (PE) is a major cause of morbidity and mortality worldwide. This study aimed to analyze the epidemiological characteristics of patients hospitalized for PE in Spain between 2016 and 2022. Methods: This retrospective observational study of PE cases was based on the hospital discharge records from the National Health System between 2016 and 2022. The variables analyzed were sex, age, comorbidities, discharge diagnoses and procedures, overall severity, whether empyema was a primary or secondary diagnosis, admission to the intensive care unit (ICU), length of stay (LOS), in-hospital mortality, and healthcare costs. Results: Between 2016 and 2022, 19864 PE cases were diagnosed in Spain, revealing an overall rate of 0.64 per 1000 hospitalizations, with the exception of a slight decline in 2021. The mean age of the patients with PE was 61 years, and 73.85% were men. Most patients had low comorbidities, with a median Charlson comorbidity index (CCI) of 1.7. Most cases (63%) involved secondary diagnoses (pneumonia, pneumococcal pneumonia, sepsis, COVID, or lung cancer). The in-hospital mortality rate was higher in the secondary diagnosis group than in the primary diagnosis group (13.4% vs. 6.2%, respectively, p < 0.001). The factors associated with increased mortality included older age (≥66 years), higher CCI scores, ICU admission, and shorter LOS (<10 days). Conversely, pleural drainage and pneumonia as secondary diagnoses were protective factors. Conclusions: PE is an increasingly common pathology in clinical practice, especially in older and frail patients. It is associated with high morbidity and mortality, and its prognosis worsens with age and comorbidities. Therefore, early and appropriate diagnosis and standardized management strategies are required to mitigate the mortality and healthcare costs. Full article

Background: Diagnostic delay and error represent pervasive problems in healthcare with grave implications for treatment and prognosis. Though characteristic of human cognition, cognitive biases commonly contribute to delays in the physician decision-making process, particularly in atypical or complex presentations in youth. Methods: We present a case series of three adolescent athletes with varied clinical presentations whose diagnostic conceptualization and treatment were delayed in part due to cognitive biases with consequences for overall health and development, as well as return to sport. Results: The first case depicts how an atypical presentation of celiac disease was attributed to growing pains, illustrating the contribution of anchoring bias and confirmation bias in medical decision making. The second case represents the misattribution of chronic exertional compartment syndrome pain to growing pains and post-exercise soreness, highlighting the influence of ascertainment bias on the initial misdiagnosis. The third case describes how a vertebral mass was misdiagnosed as a left shoulder strain from weightlifting, depicting the contribution of anchoring bias and ascertainment bias in medical decision making. Conclusions: Early recognition of cognitive biases, including confirmation bias, anchoring bias, and ascertainment bias, is crucial for improving medical decision making, particularly in cases of rare or atypical presentations, reducing unnecessary diagnostic delays, and setting more realistic patient expectations. Through discussion of these cases, we highlight concrete steps to manage bias to facilitate timely diagnosis within the primary care and sports medicine setting. Full article

Diabetic foot ulcers (DFUs) constitute a severe and debilitating complication of diabetes, imposing a substantial global health burden due to their intricate pathophysiology and impaired wound healing processes. Vitamin D deficiency is highly prevalent among diabetic populations, and accumulating evidence indicates its potential involvement in the pathogenesis and prognosis of DFUs. This review comprehensively explores the diverse roles of vitamin D in DFUs, encompassing its molecular mechanisms such as immunomodulation, promotion of angiogenesis, neuroprotection, and induction of antimicrobial peptides, as well as the metabolic characteristics associated with various vitamin D forms and compromised vitamin D receptor (VDR) signaling pathways. Although robust observational studies have established an association between vitamin D deficiency and adverse outcomes in DFUs, the clinical validation of supplementation efficacy through randomized controlled trials (RCTs) remains constrained by limitations such as small sample sizes, heterogeneity in study protocols, and insufficient long-term follow-up. This highlights the critical need for large-scale, high-quality studies to ascertain optimal treatment regimens and to cater to individualized patient requirements, particularly for individuals with obesity or those with renal impairments. Innovative strategies, such as the topical administration of vitamin D through intelligent delivery systems leveraging advanced biomaterials like nanofibers and hydrogels, exhibit substantial preclinical potential in enhancing stability, achieving targeted controlled release, and augmenting local biological effects, including the induction of antimicrobial peptides. Nevertheless, significant challenges persist in conclusively establishing clinical efficacy, comprehensively elucidating the underlying mechanisms, ensuring the safe translation of novel delivery systems, and developing personalized therapeutic strategies. The future success of these interventions hinges on meticulous research and interdisciplinary collaboration to seamlessly integrate validated vitamin D-based interventions into a comprehensive multidisciplinary management framework for DFUs, thereby holding promise for improving the clinical outcomes of this debilitating condition. Full article

MicroRNAs (miRNAs) are key regulators of gene expression and play essential roles in physiological processes such as cell proliferation, apoptosis, and metabolism. They have emerged as promising biomarkers for the early diagnosis, prognosis, and treatment of Metabolic Syndrome (MetS). In recent years, exosome-derived miRNAs, known as “xeno-miRNAs”, which are derived from food, as well as circulating miRNAs, have emerged as areas of intense research due to their potential effects on metabolic disorders. miRNAs influence fasting blood glucose and insulin resistance through mechanisms such as β-cell differentiation, insulin gene transcription, and PI3K–AKT pathway activation. Additionally, miRNAs play important roles in regulating MetS components, as follows: obesity through adipogenesis and lipogenesis; hypertension through regulation of the renin–angiotensin system and vascular tone; and dyslipidemia by modulating lipid metabolism. Emerging evidence suggests that nutrients such as polyphenols and specific dietary patterns can alter miRNA expression, potentially impacting metabolic health. Understanding the interactions between diet and miRNA regulation offers novel insights into the prevention and treatment of MetS. This review explores the mechanisms by which miRNAs influence MetS components, and highlights the growing potential of nutrient-regulated miRNAs as therapeutic targets within the framework of precision nutrition and personalized metabolic disease management. Full article

High-risk pregnancies (HRPs) constitute a significant global health issue due to their strong association with increased maternal and neonatal morbidity and mortality. Although pregnancy is generally characterized by positive expectations, the presence of maternal comorbidities, gestational complications, or adverse socioeconomic and environmental conditions can markedly elevate the probability of unfavorable outcomes. HRPs contribute disproportionately to complications such as preterm birth, fetal growth restriction, low birth weight, and congenital anomalies, which are key determinants of neonatal mortality and long-term developmental and health challenges. A broad spectrum of risk factors as well as insufficient prenatal care, underscores the complex nature of HRPs. These conditions necessitate a multidisciplinary management approach encompassing early risk identification, continuous monitoring, and individualized interventions. The neonatal prognosis in such contexts is strongly influenced by gestational age at delivery, birth weight, the standard of neonatal care, and the underlying etiological factors driving preterm or complicated deliveries. Preventive strategies including comprehensive prenatal screening, systematic antenatal follow-up, and timely referral to specialized perinatal care centers are essential for reducing the burden of HRPs. Furthermore, addressing social determinants of health—such as low socioeconomic status and limited access to healthcare—is critical for optimizing maternal and neonatal outcomes. This review consolidates current evidence on the epidemiology, etiological factors, and clinical implications of high-risk pregnancies, emphasizing the necessity of an integrative, preventive, and multidisciplinary framework to mitigate adverse neonatal outcomes and improve long-term health trajectories. Full article