Search Results (1,013)

The pathophysiological mechanism linking oxidative stress and cardiovascular disease (CVD) is not completely elucidated, especially in young individuals. This study aimed to examine redox status in an adolescent Montenegrin population in relation to cardiovascular risk score (CVRS). A cohort of 182 adolescents (76% girls) aged between 16 and 19 was examined. Total antioxidant status (TAS), superoxide dismutase (SOD), advanced oxidation protein products (AOPPs), malondialdehyde (MDA), and total oxidant status (TOS) were determined. Pro-oxy score, anti-oxy score, and oxy score were calculated as comprehensive parameters of overall redox homeostasis status. CVRS was calculated by summarizing several risk factors (i.e., sex, age, obesity, hypertension, dyslipidemia, impaired fasting glucose, and smoking). A significant positive correlation between CVRS and TOS (rho = 0.246, p = 0.001) and AOPP (rho = 0.231, p = 0.002) and MDA (rho = 0.339, p < 0.001), respectively, and a negative correlation with the TAS/TOS ratio (rho= −0.208, p = 0.005) was observed. An increase in pro-oxy scores as well as oxy scores with CVRS risk increase were observed. Anti-oxy scores did not differ between CVRS subgroups. There is a significant relationship between cardiovascular risk score and oxidative stress in the adolescent Montenegrin population. These findings support the possibility for improvement of age-specific CVD risk algorithms by adding redox homeostasis parameters in addition to conventional ones. Full article

Background: Cardiac tumors are rare neoplasms with a wide spectrum of clinical presentations, ranging from asymptomatic cases to fatal outcomes. According to the 2021 thoracic tumor classification of the World Health Organization (WHO), papillary fibroelastoma (PFE) is the most common primary cardiac tumor. This study aimed to aggregate and examine data regarding the prevalence, clinical characteristics, and histological results of cardiac tumors. Methods: This multicenter retrospective study was conducted across seven tertiary care institutions and included 274 patients diagnosed with histopathologically confirmed cardiac tumors between January 2013 and December 2024. Results: This study included 274 patients, with an average age of 52.6 ± 16.6 years. Of the study participants, 120 (43.8%) were male and 154 (56.2%) were female. The most prevalent clinical manifestations were dyspnea (43.7%), thoracic pain (22.5%), and cardiac palpitations (21.1%). Echocardiography was the principal diagnostic method, revealing an average tumor size of 3 cm. The most commonly observed mass was cardiac myxoma (CM) in 192 patients (70.1%). The second most frequently detected mass was PFE (28 cases, 10.2%). The third most common cardiac mass was a metastatic tumor (6.9%). Surgical resection was performed in all patients, with infection being the most prevalent consequence, followed by effusion. Conclusions: Cardiac tumors, albeit uncommon, provide considerable diagnostic and treatment difficulties. Our research is founded on an extensive case series that has been histopathologically validated and sourced from various national tertiary centers. This comprehensive dataset offers epidemiological and clinical insights regarding heart tumors in Turkey. Another key finding of our study is that, even though the 5th edition of the 2021 WHO Classification of Thoracic Tumors lists PFE as the most common primary cardiac tumor, myxoma is actually the most common primary cardiac tumor in our study and in many other studies. This finding demonstrates a significant discrepancy between the current international classification and real-world data and suggests that tumor distribution may be related to regional and demographic differences. Full article

Introduction: The World Health Organization has declared carbapenem-resistant organisms a research and development priority. Although ceftazidime–avibactam was approved around a decade ago, there is still a lack of prospective data on the treatment of resistant pathogens with this agent. Methods: We conducted a prospective, observational, single-center, investigator-initiated study of patients treated with ceftazidime–avibactam for infections caused by carbapenem-resistant organisms. The primary outcome was clinical cure 14 days after the initiation of ceftazidime-avibactam treatment. Secondary outcomes, which were assessed on day 30, included microbiological failure, development of resistance, all-cause mortality, and length of stay in the intensive care unit. Results: A total of 50 patients were included in the study. At baseline, the median Charlson Comorbidity Index and Sequential Organ Failure Assessment Score were 5.5 and 7. Approximately three-quarters of the patients were treated in an intensive care unit and had undergone mechanical ventilation within the previous 7 days prior to the commencement of ceftazidime–avibactam treatment. Half of the patients were diagnosed with nosocomial pneumonia. Most infections were caused by Pseudomonas aeruginosa (48%) and Klebsiella pneumonia (28%). Clinical cure at day 14 was achieved in 59% of patients. Four deaths (9%) and two cases of microbiological failure (4%) were observed. The median length of stay in the intensive care unit was 14 days. There was no emergence of resistance to ceftazidime–avibactam. Discussion: Our study contributes to the growing body of evidence supporting the effectiveness of ceftazidime–avibactam in treating infections caused by carbapenem-resistant organisms. In this cohort of critically ill patients, our results in terms of both clinical success and survival are in the upper range compared to those from mainly retrospective and some prospective studies. Although the benefits of ceftazidime–avibactam have been demonstrated in this and other studies, it must be prescribed cautiously to ensure it remains effective. Full article

Background: Despite significant advancements in diabetes care, many individuals with type 2 diabetes (T2D) do not receive optimal care and treatment. Digital interventions promoting behavioral changes have shown promising long-term results in supporting healthier lifestyles but are not implemented in most healthcare offerings, maybe due to lack of general practice support and collaboration. This study evaluates the efficacy of the Digital, Individualized, and Collaborative Treatment of T2D in General Practice Based on Decision Aid (DICTA), a randomized controlled trial integrating a patient-centered smartphone application for lifestyle support in conjunction with a clinical decision support (CDS) tool to assist general practitioners (GPs) in optimizing antidiabetic treatment. Methods: The present randomized controlled trial aims to recruit 400 individuals with T2D from approximately 70 GP clinics (GPCs) in Denmark. The GPCs will be cluster-randomized in a 2:3 ratio to intervention or control groups. The intervention group will receive one year of individualized eHealth lifestyle coaching via a smartphone application, guided by patient-reported outcomes (PROs). Alongside this, the GPCs will have access to the CDS tool to optimize pharmacological decision-making through electronic health records. The control group will receive usual care for one year, followed by the same intervention in the second year. Results: The primary outcome is the one-year change in estimated ten-year cardiovascular risk, assessed by SCORE2-Diabetes calculated from age, smoking status, systolic blood pressure, total and high-density lipoprotein cholesterol, age at diabetes diagnosis, HbA1c, and eGFR. Conclusions: If effective, DICTA could offer a scalable, digital-first approach for improving T2D management in primary care by combining patient-centered lifestyle coaching with real-time pharmacological clinical decision support. Full article

Background: Despite distinct etiologies, type 1 diabetes (T1D) and type 2 diabetes (T2D) share chronic inflammation as a core feature. Interleukins, key immune mediators, play important yet still not fully understood roles in the development and complications of both conditions. Objective: This narrative review aims to provide a comprehensive and critical synthesis of current evidence on the role of key interleukins in T1D and T2D, highlighting their immunological functions, genetic associations, clinical correlations, and translational potential. Methods: A targeted literature search was conducted in PubMed, Google Scholar, and ScienceDirect up to January 2025, focusing on English-language clinical and experimental studies involving interleukins and their relevance to T1D and T2D. Reference lists were manually screened for additional sources. Interleukins (ILs) were reviewed individually to assess their immunobiology, disease specificity, and biomarker or therapeutic value. Findings: Pro-inflammatory cytokines such as IL-1β, IL-6, and IL-17 contribute to islet inflammation, insulin resistance, and microvascular damage in both T1D and T2D. Anti-inflammatory mediators including IL-4, IL-10, and IL-13 exhibit protective effects but vary in expression across disease stages. Less-characterized interleukins such as IL-3, IL-5, IL-9, and IL-27 demonstrate dual or context-dependent roles, particularly in shaping immune tolerance and tissue-specific complications such as nephropathy and neuropathy. Polymorphisms in IL-10 and IL-6 genes further suggest genetic contributions to interleukin dysregulation and metabolic dysfunction. Despite promising insights, translational gaps persist due to overreliance on preclinical models and limited longitudinal clinical data. Conclusions: Interleukins represent a mechanistic bridge linking immune dysregulation to metabolic derangements in both T1D and T2D. While their diagnostic and therapeutic potential is increasingly recognized, future research must address current limitations through isoform-specific targeting, context-aware interventions, and validation in large-scale, human cohorts. A unified interleukin-based framework may ultimately advance personalized strategies for diabetes prevention and treatment. Full article

Background/Objectives: Despite the importance of parent mental health for child health, there are no global prevalence data on parental mental health symptoms when children are hospitalized. We aimed to describe depression and anxiety symptom prevalence and associated factors among parents of hospitalized children. Methods: We conducted this 14-country prospective cohort survey with parents/primary caregivers staying at a nearby Ronald McDonald House^® during their child’s hospital treatment. We used the Hospital Anxiety and Depression Scale to measure depression and anxiety symptoms and validated scales and theory-based questions to measure parent, family, and child covariates. We calculated the prevalence of clinically significant or concerning symptoms of depression and anxiety, and used multivariable regression analyses to examine associations between covariates and outcomes. Results: Among 3350 participants, 1789 (49.7%) reported depression symptoms and 2286 (69.0%) reported anxiety symptoms. Worry about housing and poorer ratings of their child’s health were associated with increased risk of depression symptoms. Poorer rating of the child’s health, living with a partner, and discrimination in daily life were associated with increased risk of anxiety symptoms. Higher levels of self-care, hospital family-centered care, and social support were associated with reduced risk of depression symptoms. Higher levels of self-care and social support were associated with reduced risk of anxiety symptoms. Conclusions: Clinically significant or concerning depression and anxiety symptoms are common among parents of hospitalized children globally. Hospitals should consider offering routine mental health symptom screening and preventative mental health and support services to all parents. Full article

Background/Objectives: Latinos, particularly those of Mexican ancestry, experience high rates of type 2 diabetes and sleep disturbances, exacerbating adverse health outcomes. This study aimed to examine the prevalence of excessive daytime sleepiness and its associations with diet, cardiometabolic risk factors, and glycemic control in this population. Methods: This cross-sectional study utilized data from the El Banco por Salud biobank, including 1685 participants (aged 52.6 ± 14.5 years, BMI: 32.4 ± 7.0 kg/m²) recruited from Federally Qualified Community Health Centers. Excessive daytime sleepiness was assessed using the Epworth Sleepiness Scale, while dietary information was obtained via the Brief Dietary Assessment Tool for Hispanics. Primary outcomes included cardiometabolic risk factors and glycated hemoglobin (HbA1c) levels. Results: Excessive daytime sleepiness (Epworth Sleepiness Scale > 10) was present in 22.0% of participants and was associated with higher BMI (p < 0.001), larger waist circumference (p = 0.002), poorer diet quality, increased dyslipidemia (p = 0.036), and elevated HbA1c (p = 0.007). Linear regression analyses confirmed that excessive daytime sleepiness was significantly associated with higher HbA1c levels, both in unadjusted (R² = 0.011; p < 0.001) and adjusted for demographic, anthropometric, and socioeconomic factors (R² = 0.107; p = 0.004) models. Conclusions: Excessive daytime sleepiness among Latinos of Mexican ancestry is associated with unhealthy dietary patterns and poor glycemic control, highlighting the need for targeted interventions addressing sleep and dietary habits in this vulnerable population. Full article

Introduction: Adolescents and young adults (AYAs), especially those from underserved communities, often face barriers to sexual and reproductive health (SRH). This pilot study evaluated the implementation of mobile health technologies to promote SRH care, including the integration of the Rapid Adolescent Prevention Screening^TM (RAAPS) and the Health-E You/Salud iTu^TM (Health-E You) app at a School-Based Health Center (SBHC) in Los Angeles using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. Methods: This multi-method pilot study included the implementation of an integrated tool with two components, the RAAPS electronic health screening tool and the Health-E You app, which delivers tailored SRH education and contraceptive decision support to patients (who were sex-assigned as female at birth) and provides an electronic summary to clinicians to better prepare them for the visit with their patient. Quantitative data on tool usage were collected directly from the back-end data storage for the apps, and qualitative data were obtained through semi-structured interviews and in-clinic observations. Thematic analysis was conducted to identify implementation barriers and facilitators. Results: Between April 2024 and June 2024, 60 unique patients (14–19 years of age) had a healthcare visit. Of these, 35.00% used the integrated RAAPS/Health-E You app, and 88.33% completed the Health-E You app only. All five clinic staff were interviewed and expressed that they valued the tools for their educational impact, noting that they enhanced SRH discussions and helped uncover sensitive information that students might not disclose face-to-face. However, the tools affected clinic workflows and caused rooming delays due to the time-intensive setup process and lack of integration with the clinic’s primary electronic medical record system. In addition, they also reported that the time to complete the screener and app within the context of a 30-min appointment limited the time available for direct patient care. Additionally, staff reported that some students struggled with the two-step process and did not complete all components of the tool. Despite these challenges, clinic staff strongly supported renewing the RAAPS license and continued use of the Health-E You app, emphasizing the platform’s potential for improving SRH care and its educational value. Conclusions: The integrated RAAPS and Health-E You app platform demonstrated educational value and improved SRH care but faced operational and technical barriers in implementing the tool. These findings emphasize the potential of such tools to address SRH disparities among vulnerable AYAs while providing a framework for future implementations in SBHCs. Full article

Background/Objectives: Breastmilk offers numerous benefits for the health and development of preterm infants, while prolonged hospitalization may impair neurodevelopment. At our institution, the implementation of enhanced family-centered care (FCC) has enabled earlier discharge of preterm infants. This study aimed to assess the impact of early discharge on breastfeeding and breastmilk provision. Methods: This analysis is based on data from a prospective single-center longitudinal cohort study conducted from October 2020 to November 2023, involving six consecutive cohorts (one baseline and five intervention cohorts; n = 184). FCC was progressively enhanced across cohorts. The primary outcome of the main study was postmenstrual age (PMA) at discharge. In this secondary analysis, breastfeeding and breastmilk provision were assessed at four time points: 4 weeks postnatal age, at discharge, 4 weeks post-discharge, and at 3 months PMA. Results: From baseline to intervention cohort 5, the PMA at discharge declined significantly from 37.8 ± 2.1 to 35.7 ± 0.91 weeks (p = 0.03), while the percentage of infants necessitating home nasogastric tube feeding increased from 6.3% to 66.7% (p < 0.01). The proportion of breastmilk of daily feeding volume remained unchanged at 4 weeks postnatal age (0.66 ± 0.42 vs. 0.9 ± 0.28) and at discharge (0.6 ± 0.45 vs. 0.79 ± 0.36). At 4 weeks post-discharge, 65.8% vs. 62.5% of the infants were on partial or exclusive breastmilk (p = 0.91) feeding. Similarly, the percentage of exclusively breastfed infants at 4 weeks post-discharge (23.7% vs. 19.8%) and at 3 months PMA (20% vs. 28.6%) did not differ significantly between baseline and intervention cohort 5. Conclusions: Early discharge did not reduce breastmilk supply or exclusive breastfeeding. However, the persistently low rate of exclusive breastfeeding post-discharge highlights the need for additional support strategies during and after hospitalization. Full article

Chronic diseases are a leading cause of death worldwide and have a significant negative impact on public health, overall well-being, national economies, and the long-term sustainability of already burdened health systems. In addressing some of the current health challenges, the contribution of pharmacists and community pharmacies is of particular significance. Pharmacists play a vital role in the medication use process, enhancing the efficacy of pharmacological interventions and facilitating the delivery of health services. Community pharmacies occupy a key position within the healthcare system, acting as a primary point of contact with the public and frequently representing the most accessible healthcare facility for patients. In recent times, community pharmacies have undergone a process of adaptation, shifting from a narrow focus on the dispensing of medications towards a more comprehensive approach that is patient-centered and incorporates a range of healthcare services, while also prioritizing the quality of the services provided. This work aims to explore the role of pharmacists in the provision of pharmaceutical services in three countries with distinct healthcare systems, examining how these services operate, the requirements for their delivery, the associated remuneration structures, and the extent of out-of-pocket costs for patients—ultimately analyzing their impact on health outcomes. Full article

Background/Objectives: Atrial fibrillation (AF) is a prevalent arrhythmia associated with a high risk of major adverse cardiovascular events (MACEs). This study aimed to compare the predictive ability of an ML model and the CHA₂DS₂-VASc score in predicting MACEs in AF patients using machine learning (ML) techniques. Methods: A cohort of 40,297 individuals aged 65–95 from the Terres de l’Ebre region (Catalonia, Spain) and diagnosed with AF between 2015 and 2016 was analyzed. ML algorithms, particularly AdaBoost, were used to predict MACEs, and the performance of the models was evaluated through metrics such as recall, area under the ROC curve (AUC), and accuracy. Results: The AdaBoost model outperformed CHA₂DS₂-VASc, achieving an accuracy of 99.99%, precision of 0.9994, recall of 1, and an AUC of 99.99%, compared to CHA₂DS₂-VASc’s AUC of 81.71%. A statistically significant difference was found using DeLong’s test (p = 0.0034) between the models, indicating the superior performance of the AdaBoost model in predicting MACEs. Conclusions: The AdaBoost model provides significantly better prediction of MACE in AF patients than the CHA₂DS₂-VASc score, demonstrating the potential of ML algorithms for personalized risk assessment and early detection in clinical settings. Further validation and computational resources are necessary to enable broader implementation. Full article

This study aims to explore the walkability of three small areas (basic healthcare areas) of Barcelona city (Catalonia, Spain) for frail older adults. A mixed methods study design was conducted with 132 frail older adults in three primary care centers of Barcelona: Larrard, Barceloneta, and Vila Olímpica. A literature review was conducted to identify urban design indicators related to walkability and the aging population. These were then reflected in the surveys administered to the program participants, capturing information on their preferred routes, usual destinations, and walkability perceptions. Findings reveal significant mobility challenges for older adults, particularly the ones related to safety issues, the adequacy of sidewalk widths, greenery and urban furniture maintenance, and the presence/absence of commercial activities. This research underscores the importance of age-sensitive urban design in healthcare environments and provides a framework for enhancing walkability and accessibility for populations at greater risk of mobility-related health problems, such as frail older adults. Full article

Background/Objectives: Despite the psychological benefits of breast reconstruction (BR) after mastectomy, uptake remains limited among women with breast cancer. This study explores psychosocial and personality predictors of BR intentions in the pre-mastectomy phase, aiming to inform strategies for mental health promotion in oncology care. Methods: This cross-sectional analysis used preoperative data from a longitudinal study at a university hospital in Greece. Women with primary breast cancer scheduled for mastectomy completed a battery of validated self-report measures, including the International Personality Item Big-Five Factor Markers (IPIP-BFFM), the Hospital Anxiety and Depression Scale (HADS), and the Short Form-36 Health Survey (SF-36). Demographic, clinical, and psychosocial data were also collected. Binary logistic regression was used to examine predictors of (a) BR information-seeking and (b) BR intention. Results: Seventy-four women participated (mean age = 61.1 years). Older age predicted lower BR intention (Exp(b) = 0.897, 95% CI: 0.829–0.970) and information-seeking (Exp(b) = 0.925, 95% CI: 0.859–0.997). Single/divorced status was associated with reduced BR information-seeking (Exp(b) = 0.053, 95% CI: 0.005–0.549). Openness to experience significantly predicted both outcomes (BR information-seeking: Exp(b) = 1.115, 95% CI: 1.028–1.209); BR intention: Exp(b) = 1.095, 95% CI: 1.016–1.181). Higher physical health-related QoL scores were associated with increased BR intention (Exp(b) = 1.039, 95% CI: 1.007–1.072), whereas higher mental health-related QoL (Exp(b) = 0.952, 95% CI: 0.912–0.994) and higher depression scores (Exp(b) = 0.797, 95% CI: 0.638–0.996) were linked to decreased BR intent. No psychological factor significantly predicted information-seeking. Conclusions: These findings underscore the value of psychosocial screening and personality-informed counseling prior to surgery. By identifying individuals less likely to seek information or consider BR, pre-mastectomy assessments can contribute to tailored, mental health-promoting interventions and support informed, patient-centered surgical decision-making. Full article

Objectives: Scarce data are available regarding preventive medicine in forcibly displaced populations especially regarding non-communicable diseases like neoplasia, while even more limited data are available on Ukrainian refugees in Romania. To address this research gap, the present analysis was performed to investigate Ukrainian refugee women’s beliefs, attitudes, and opinions towards the Romanian and Ukrainian healthcare system in a comparison model while focusing on the HPV immunization rates and factors influencing the uptake for themselves and their children. Methods: Participants were recruited using the snowball sampling method through their General Practitioner (GP) and a health mediator. Results: In total, 105 women completed the online or physical survey. The mean age was 50 years. In total, 40% of women had not been to a gynecological check-up in 3 or more years, and more than 56% had never been screened. Only four were vaccinated against HPV, and none remembered which type of vaccine was dispensed or how many doses were utilized. The primary hindrances to accessing health services or immunization programs were language barriers, financial burdens, and a lack of information. Respondents’ general distrust of health systems and healthcare workforces were recurrent themes. Relationship status, living arrangements, and previous engagement in screening practices influenced immunization rates. Perceiving the healthcare officials as proactive concerning optional vaccination programs such as HPV immunization and actively receiving recommendations drove respondents to pursue vaccination. Conclusions: This analysis offers a foundational insight into the specific needs of refugee women. It can guide the development of effective public health interventions to improve health outcomes and vaccination rates among Ukrainian refugees in Romania. Tailored preventive campaigns with adequate native language information and prompts from medical experts in designated centers should be deployed to ensure inclusive tactics for vulnerable populations. Full article

The preparedness of healthcare workers for disaster situations depends on their technical skills, disaster knowledge, and psychosocial strength, including teamwork and emotional regulation. This study aims to assess disaster preparedness among healthcare professionals in primary healthcare centers (PHCs) in Alqurayat, Saudi Arabia, with a specific focus on evaluating technical competencies, psychosocial readiness, and predictive modeling of preparedness levels. A mixed-methods approach was employed, incorporating structured questionnaires, semi-structured interviews, and observational data from disaster drills to evaluate the preparedness levels of 400 healthcare workers, including doctors, nurses, and administrative staff. The results showed that while knowledge (mean: 3.9) and skills (mean: 4.0) were generally moderate to high, notable gaps in overall preparedness remained. Importantly, 69.5% of participants reported enhanced readiness following simulation drills. Machine learning models, including Random Forest and Artificial Neural Networks, were used to predict preparedness outcomes based on psychosocial variables such as emotional intelligence, teamwork, and stress management. Sentiment analysis and topic modeling of qualitative responses revealed key themes including communication barriers, psychological safety, and the need for ongoing training. The findings highlight the importance of integrating both technical competencies and psychosocial resilience into disaster management programs. This study contributes an innovative framework for evaluating preparedness and offers practical insights for policymakers, disaster planners, and health training institutions aiming to strengthen the sustainability and responsiveness of primary healthcare systems. Full article