Título del artículo:

Beyond conventional skin grafts: dermal matrices and skin substitutes for deep burns: a systematic review

Background: Deep full-thickness burns are commonly treated with early excision and split-thickness skin grafts (STSG). However, limited dermal replacement may contribute to hypertrophic scarring and contractures. Dermal matrices and skin substitutes aim to provide a vascularizable neodermis that may improve scar quality and functional outcomes.We aimed to evaluate whether dermal matrices or skin substitutes provide superior scar quality, function, and safety compared with STSG in full-thickness burns. Methods: We conducted a systematic review following PRISMA guidelines. We searched MEDLINE/PubMed, Embase, and LILACS from inception through the pre-specified cutoff date. We included randomized controlled trials in adults and children with deep full-thickness burns comparing dermal matrices/skin substitutes (single-stage or two-stage approaches) versus conventional STSG alone/standard grafting. We did not pre-specify a fixed list of products; the interventions reviewed reflect those evaluated in eligible trials. Due to clinical and methodological heterogeneity, meta-analysis was not performed. Risk of bias was assessed using RoB 2. Results: Eight randomized controlled trials were included. In one trial, Novomaix + STSG delayed healing compared with STSG alone (graft take at 5–7 days: 80% vs. 95%; P = 0.003; time to closure: 28 vs. 16 days; P = 0.004). In adults treated with an electrospun PLGA bioveil, no significant differences were observed in graft take (99.0% ± 2.5 vs. 97.9% ± 7.0) or in VSS/POSAS scores at 12 months. In severe pediatric burns, Integra improved aesthetic outcomes at 12 months (Hamilton: 5.4 ± 1.7 vs. 7.7 ± 2.6; P = 0.003). Overall, most trials were judged at high risk of bias. Conclusions: Current evidence does not support routine use of dermal matrices over STSG in acute burn management. These technologies may be beneficial in selected settings (e.g., contracture reconstruction) or when combined with cellular approaches. Future multicenter randomized trials with standardized, long-term (≥ 12 months) functional and aesthetic outcomes are needed. Level of Evidence: Level I, therapeutic study.

Acerca de la revista donde se publicó este artículo:

European Journal of Plastic Surgery

Título del artículo:

Soluble Major Histocompatibility Complex I-Related Chain A (sMICA)*008 Levels Associate with Smoking, Presence of Chronic Obstructive Pulmonary Disease, and Prevalence of Lung Cancer

Background: Lung cancer and chronic obstructive pulmonary disease (COPD) are morbid and mortal conditions arising from noxious endothelial stress. Soluble Major Histocompatibility Complex I Chain Related A (sMICA) is an activating ligand for the NKG2C receptor, and the soluble form indicates endothelial stress and is a mechanism for evading immune surveillance in lung cancer. We provide independent associations between sMICA*008 levels and the prevalence of lung cancer, lung cancer histologies, COPD, and risk factors for both diseases. Methods: We describe statistical associations between sMICA and demographic and clinical variables. Multivariate linear regression determined the independent associations between sMICA levels and lung cancer histology, between those with and without primary lung cancer, and prevalent COPD in participants without lung cancer. Point estimates and 95% confidence intervals are reported; p < 0.05 is considered statistically significant. Results: The cohort (n = 586 patients) included 24% female and 48% current or former smokers. Mean sMICA were 5.20 pg/mL ×10², and FEV1%-predicted of 62. sMICA levels were higher in those who smoked vs. those who did not. In Multivariate regression, non-small cell lung cancer (NSCLC) was associated with 14.2 pg/mL ×10² (95% CI 3.57 to 24.9 pg/mL ×10²) higher sMICA levels compared to those without cancer. No other histology was independently associated with higher sMICA. Primary lung cancer [12.5 pg/mL ×10² (2.85 to 22.2 pg/mL ×10²)] and COPD in those without cancer [4.38 pg/mL ×10² (0.38 to 8.39 pg/mL ×10²)] were associated with higher sMICA. Conclusions: sMICA*008 is independently associated with NSCLC, primary lung cancer, and COPD, respectively, in a cohort of current, former, and never smokers with and without lung cancer. sMICA levels were also higher in smokers. This study provides a foundation for future studies on sMICA activity in lung cancer and COPD, and assessment of sMICA as a biomarker for lung cancer cell type and risk of lung function loss in COPD.

Acerca de la revista donde se publicó este artículo:

Journal of Clinical Medicine

Título del artículo:

Family medicine organizations: missing stakeholders in the 2025 ACC/AHA hypertension guideline

Acerca de la revista donde se publicó este artículo:

Journal of Hypertension

Título del artículo:

Optimizing Antifungal Use Through Interdisciplinary Intervention in the Hematology Unit

Invasive fungal infections are frequent complications in patients with hematologic malignancies due to immunosuppression and intensive treatments. In Colombia, limited diagnostic availability, heterogeneous prescribing practices, and emerging antifungal resistance highlight the need for optimized use. We evaluated an interdisciplinary antifungal stewardship intervention in the hematology unit of a tertiary-care hospital. A quasi-experimental before-and-after study included 353 hospitalized patients receiving systemic antifungals between 1 January 2023 and 31 December 2024 (1154 prescriptions). Following the intervention, antifungal prescribing shifted toward increased prophylaxis and reduced therapeutic use, with substantial reduction in prophylactic Amphotericin B dosing, stable treatment dosing, and selective changes in agent choice, including decreased voriconazole and discontinuation of some broad-spectrum drugs. Microbiological sampling decreased, reflecting a more targeted diagnostic approach rather than improved documentation. Antifungal consumption patterns showed redistribution among agents rather than uniform reduction. Prophylaxis-related costs increased, while treatment-related costs decreased without statistical significance. ICU admissions and in-hospital mortality remained unchanged. These results demonstrate that structured antifungal stewardship programs are feasible and safe in hematology units in middle-income settings, supporting more rational antifungal use without compromising patient outcomes.

Acerca de la revista donde se publicó este artículo:

Journal of Fungi

Título del artículo:

Challenges in the use of GLP-1 receptor agonists: accessibility, off-indication use and proposals for the future

Acerca de la revista donde se publicó este artículo:

Revista Medica Herediana

Título del artículo:

Management of platelet-rich plasma and stem cells versus conventional treatments in musculoskeletal injury repair: A systematic review

Musculoskeletal injuries are a prevalent cause of disability, often impairing daily function and overall well-being. Standard treatments – including physiotherapy, anti-inflammatory medications, and surgery – frequently fall short in achieving optimal outcomes. Regenerative strategies, particularly platelet-rich plasma (PRP) and stem cell (SC) therapies, have emerged as alternatives due to their biological capacity to promote tissue regeneration and repair. This systematic review synthesizes evidence from randomized controlled trials that compare PRP and SC interventions with conventional management of musculoskeletal injuries. Literature was systematically searched in PubMed, Embase, and LILACS for relevant studies published through a structured search strategy. A total of 23 studies met the eligibility criteria. Findings indicate that PRP facilitates early pain relief and functional gains, while SC therapies contribute to sustained regenerative effects. When used in combination, PRP and SC demonstrated enhanced clinical outcomes. Although no serious adverse events were consistently reported, marked heterogeneity in protocols and outcomes was observed. Risk of bias varied across studies, highlighting the need for methodological rigor. Overall, the evidence suggests that PRP and SC therapies hold potential for musculoskeletal repair. However, standardized protocols and further robust clinical trials are essential to confirm their safety, efficacy, and broader applicability.

Acerca de la revista donde se publicó este artículo:

Journal of Musculoskeletal Surgery and Research

Título del artículo:

Advancements in Entomology: Bridging Forensic Science and Sustainable Agriculture

This book presents a balanced view of how entomology supports both forensic investigations and sustainable agriculture. It highlights the growing role of artificial intelligence (AI) in advancing research and practical applications in these fields. The first part focuses on forensic entomology, covering topics such as AI-assisted insect species identification, behaviour analysis, predictive modelling of necrophagous insect life cycles, virtual simulations, and the ethical and legal issues involved in using AI in forensic science. These chapters show how insects can help solve crimes when combined with modern technologies. The second part covers agricultural entomology, where the focus is on managing pests and improving crop health using insect-based approaches and AI. Topics include integrated pest management, the use of beneficial insects, understanding emerging pests, plant-pollinator interactions, crop resistance strategies, insect-borne diseases, and how climate change affects pest dynamics. Additional chapters explore how AI and smart technologies are being used to monitor, predict, and manage insect-related challenges in agriculture. This book is a useful resource for students, researchers, professionals, and policymakers working in entomology, forensic science, agriculture, environmental studies, and artificial intelligence. It provides updated insights and practical knowledge for those interested in applying science and technology to solve real-world problems involving insects.

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Advancements in Entomology Bridging Forensic Science and Sustainable Agriculture

Título del artículo:

Data-Driven Pest Management: Harnessing AI for Precision Control

The rapid intensification of global agriculture, coupled with climate variability and the spread of invasive pests, poses unprecedented challenges for crop protection. Traditional pest surveillance and control strategies are becoming increasingly inadequate for capturing the complexity and dynamism of pest populations. Advances in artificial intelligence (AI), machine learning (ML), and digital technologies now offer transformative opportunities to enhance pest monitoring, forecasting, and management. By integrating multidimensional datasets ranging from meteorological variables, crop phenology, and soil conditions to pest genomics and movement ecology, AI-driven systems can generate predictive insights and enable proactive interventions. Emerging tools, such as smart traps, edge-enabled recognition systems, mobile-based crowdsourcing platforms, and digital twins, exemplify the convergence of field-level data collection with real-time analytics, supporting both localized decision-making and large-scale risk assessment. Predictive models, including recurrent neural networks (RNNs) and long short-term memory (LSTM) architectures, are particularly effective in capturing temporal dependencies in pest dynamics, whereas participatory surveillance platforms empower farmers and extension agents to contribute to adaptive monitoring networks. Ethical considerations, including data ownership, equity, and accessibility, remain central to ensuring that AI-powered pest management benefits smallholder systems along with technologically advanced farms. This chapter synthesizes current innovations and highlights pathways for integrating AI, big data, and ecological knowledge into sustainable climate-resilient pest management frameworks. Ultimately, the strategic adoption of AI-enabled crop protection tools can play a decisive role in safeguarding global food security while reducing the environmental footprint.

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Advancements in Entomology Bridging Forensic Science and Sustainable Agriculture

Título del artículo:

Innovative Insights: Exploring the Role of AI in Agricultural Entomology

This chapter emphasizes how artificial intelligence (AI) is transforming the field of agricultural entomology. Conventional methods for studying insects and managing pests do not address core issues in entomology. AI technologies, such as machine learning, deep learning, computer vision, and natural language processing, have the potential to transform insect science. These technologies help with accurate insect identification and assessment of biodiversity and provide insights for understanding insect behavior. AI will transform the strategies used for pest management because of image-based pest identification and monitoring, coupled with forecasting and pest management. AI extends beyond pest management and benefits the industry by optimizing mass production systems for beneficial insects. AI has enabled citizen science initiatives to expand insect monitoring worldwide. AI contributes to academic writing, knowledge dissemination, and interdisciplinary collaboration in entomology. Despite their promise, AI models face critical challenges related to data availability, data accessibility, and interpretability of AI output. Integrating AI into entomology is not only an opportunity but also a necessity to address biodiversity loss, invasive pests, and climate-driven challenges, thereby accelerating progress in insect science.

Acerca de la revista donde se publicó este artículo:

Advancements in Entomology Bridging Forensic Science and Sustainable Agriculture

Título del artículo:

AI-Driven Behavioral Analysis of Insects: Unraveling Movement Patterns and Interactions

Insect behavior is a critical indicator of ecological dynamics, forensic relevance, and species-specific traits such as feeding, reproduction, and colonization. Traditional behavioral analysis often relies on manual observation, which is limited by subjectivity, temporal constraints, and scalability. This chapter explores the integration of artificial intelligence (AI) in decoding insect behavioral patterns through automated tracking, motion analysis, and interaction modeling. By leveraging computer vision, deep learning algorithms, and spatiotemporal modeling techniques, researchers can now analyze complex movement trajectories, interspecies interactions, and behavior-triggered responses in controlled and field environments. This chapter presents a comprehensive overview of AI-based methodologies, ranging from convolutional neural networks (CNNs) for real-time movement detection to recurrent neural networks (RNNs) for temporal behavior prediction. It critically evaluates existing models using performance metrics and case studies, emphasizing their accuracy, ecological validity, and potential forensic applications. Furthermore, the chapter addresses challenges including noise in environmental data, model overfitting, and the interpretability of behavioral outputs. This interdisciplinary synthesis positions AI as a transformative tool in behavioral entomology, with implications for forensic investigations, pest control, biodiversity monitoring, and environmental assessment. The chapter concludes with recommendations for standardized behavioral datasets, ethical AI deployment, and integrative research frameworks that combine biology and computational science.

Acerca de la revista donde se publicó este artículo:

Advancements in Entomology Bridging Forensic Science and Sustainable Agriculture

Título del artículo:

Advancements in AI-Driven Entomological Tools for Forensic Investigations

Artificial intelligence (AI) in forensic entomology presents opportunities and challenges for method standardization and reproducibility. Forensic entomology has a rich history of use and continues to be a vital tool in estimating postmortem interval (PMI) and identifying corpse location. However, estimating PMI and species through entomology has a tendency toward subjective and vulnerable assumptions regarding the human error margin, taxonomic expertise, and environmental factors. In this chapter, we examine the emergent applications of AI computational tools in forensic entomology, reviewing machine learning, convolutional neural networks, and image classification algorithms to automatically identify insects and estimate PMI. We summarize the characteristics of gradient boosting and deep learning algorithms with the highest reported accuracy, evaluate AI studies assessing field performance and benchmark results against non-AI methods, assess how AI may improve reproducibility in research, analyze how AI captures the high dimensionality of ecological data, incorporate real-time analysis, and assess the reproducibility of AI results incorporating ecological factors. We also probe the computational and ethical limitations of AI forensic applications, such as dataset bias and representativeness, algorithm interpretability, and admissibility issues. Synthesizing findings from interdisciplinary studies, we conclude that there is an urgent need to standardize open-access entomological datasets and interpretable models within forensic entomology. This chapter outlines the proposed research agenda toward this goal and aims to guide computational researchers conducting unintended consequential research and forensic scientists employing computational methods.

Acerca de la revista donde se publicó este artículo:

Advancements in Entomology Bridging Forensic Science and Sustainable Agriculture

Título del artículo:

Leveraging shallow learning techniques to support the methodological design of public policies in low density areas in Colombia

Access to massive and trustworthy data allows the government and territorial decision-making stakeholders nowadays to be better informed about what is happening in a certain geographical area in a reasonable amount of time to take action and ensure the safety and well-being of the impacted population. This is made possible by current Big Data technologies, which allow data gathering from multiple sources and combining them to explore insights leading to effectiveness and real impact in the implemented policies. This research showcases the successful implementation of a data-oriented ecosystem in Pamplona, a low-density/rural population area in Colombia in the andinian mountains. Despite technological and social barriers, this ecosystem supports decision-making and public policy by implementing lightweight data-recollection strategies that convey the multi-source (Variety) and the trustworthiness (Veracity) dimensions, taking meaningful directions in support of the Colombian Integral Health Attention Policy in rural areas.

Acerca de la revista donde se publicó este artículo:

Data Driven Insights and Analytics for Measurable Sustainable Development Goals

Título del artículo:

A knowledge database discovery approach for improving quality in higher education institutions

Higher education institutions in emergent and underdeveloped nations present a success rate of up to 46%, a low measure if compared to more developed countries, according to the World Bank. Multidimensional analysis plays a crucial role in understanding the socio/economical/geographical; normally, this is made by multisource data recollection and analysis, but it also raises a contextualization challenge starting from the nature of the information system that was extracted. This research portrays a Knowledge Database Discovery approach from a multisource data environment tailored to support the higher education decision-making process based on Data Storytelling. The approach enables tracking multidimensional variables that allow monitoring, profiling, and taking preventive action in a group or individual student, allowing the reduction in desertion, mental issues, or the detection of violence or household issues.

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Data Driven Insights and Analytics for Measurable Sustainable Development Goals

Título del artículo:

Effect of milk and dairy intake on cognitive function in older adults: a systematic review and meta-analysis

Introduction: Cognitive aging represents a growing challenge for global public health. Nutrition could have a beneficial effect in preserving cognitive function, and dairy products have been proposed as neuroprotective due to their nutrient density and bioactive compounds. In this systematic review and meta-analysis, we evaluated the association between milk and dairy product intake and cognitive function in older adults. Methods: The systematic search was conducted in PubMed, Scopus, LILACS, and Google Scholar through 9 August 2025, including randomized controlled trials (RCT) and observational studies evaluating dairy intake versus low or no intake in adults aged ≥60 years. Meta-analysis were conducted using a random-effects model, and methodological quality was assessed using RoB 2.0 (Risk of Bias), ROBINS-I (Risk Of Bias in Non-randomized Studies), and GRADE (Grading of Recommendations Assessment, Development and Evaluation). Results: 22 studies were included (11 RCT, 11 observational studies; n = 47.100), of which 5 RCT (n = 369) and 5 observational (n = 5.302) studies were analyzed by meta-analysis. RCT revealed significant positive effects on global cognition [Standardized Mean Difference -SMD-) = 0.45; 95%CI: 0.30–0.60], memory, and processing speed. This effect was associated in fermented and fortified products, with moderate to high certainty. In observational studies no positive effect emerged (Odds Ratio [OR] = 0.95 95%CI: 0.89–1.02). Conclusion: Our findings support the potential of dairy intake as a nutritional strategy to preserve cognitive function in older adults, with implications for clinical practice, public health, and food policy design.

Acerca de la revista donde se publicó este artículo:

Frontiers in Aging

Título del artículo:

Symmetrical calcifications in the basal ganglia. Fahr’s disease in an asymptomatic patient: a case report

Fahr’s disease, also known as idiopathic basal ganglia calcification is a rare neurologic condition characterized by bilateral and symmetric calcium deposits in deep brain structures such as the basal ganglia, thalamus, and cerebellum, and may also involve the cerebral cortex. The primary form, referred to as primary familial brain calcification, is typically inherited in an autosomal dominant pattern and has been associated with mutations in genes such as SLC20A2, PDGFB, and PDGFRB, which are involved in phosphate and calcium homeostasis and in the integrity of the blood-brain barrier. On the other hand, secondary forms of Fahr’s disease may result from metabolic disorders, particularly hypoparathyroidism, pseudohypoparathyroidism, and chronic disturbances in calcium and phosphorus metabolism. Although it may present with motor (parkinsonism, dystonia, chorea), cognitive (progressive dementia), or psychiatric symptoms (mood disorders, psychosis), a significant number of patients remain clinically silent and are diagnosed incidentally through neuroimaging. In the reported case, an adult woman was evaluated for occasional headaches, with no clinically relevant personal or family history and no objective neurologic abnormalities. Cranial computed tomography (CT) revealed extensive calcifications in the basal ganglia and subcortical white matter. Metabolic testing was normal, and genetic analysis identified a pathogenic variant in the SLC20A2 gene, confirming the diagnosis of primary Fahr’s disease. This case highlights the importance of considering this entity in the differential diagnosis of suggestive radiologic findings, even in the absence of overt symptoms. Regular clinical follow-up, neuropsychological assessment, and genetic counseling for family members are essential cornerstones of comprehensive care, given the potential for delayed onset of clinical manifestations.

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Horizonte Medico

Título del artículo:

Cardiovascular risk assessment using a new score in a cohort with familial hypercholesterolemia from northwestern Colombia

Objective: To validate the predictive performance of a new cardiovascular risk stratification model in patients with familial hypercholesterolemia (FH) without a history of atherosclerotic cardiovascular disease (ASCVD) in a population from northwestern Colombia. Materials and methods: A prospective, single-center cohort study was conducted. Patients aged ≥ 18 years with a clinical or genetic diagnosis of FH, defined by the Dutch Lipid Clinic Network Score (≥ 6 points), and without a history of acute myocardial infarction, angina, ischemic stroke, or revascularization procedures were included. Follow-up spanned over 10 years, from 2014 to 2024. High cardiovascular risk in this cohort was defined according to the American Heart Association (AHA) recommendations, considering patients as high risk if they had FH plus additional risk factors—such as hypertension, active smoking, low high-density lipoprotein cholesterol (HDL-C) levels, or elevated lipoprotein(a) [Lp(a)] levels—even in the absence of previous clinical events. Baseline clinical and biochemical variables collected included age, sex, blood pressure, smoking status, HDL-C, low-density lipoprotein cholesterol (LDL-C), and Lp(a). The primary outcome was the occurrence of major adverse cardiovascular events (MACEs). Results: Cox regression models identified independent predictors of ASCVD, including hypertension (HR: 2.1; 95 % CI: 1.3–3.2), low HDL-C (< 40 mg/dL in men and < 50 mg/dL in women) (HR: 1.9; 95 % CI: 1.1–2.9), and elevated Lp(a) (> 50 mg/dL) (HR: 2.5; 95 % CI: 1.6–3.9). The new model, termed the Familial Hypercholesterolemia Risk Score (FH-Risk-Score), incorporated these variables along with persistently elevated LDL-C (> 190 mg/dL). Additionally, it demonstrated superior discriminatory capacity for predicting 10-year ASCVD risk, with a concordance index (C-index) of 0.75 (95 % CI: 0.71–0.78), compared with the Montreal Familial Hypercholesterolemia Score (Montreal-FH-SCORE) (C = 0.71) and the Risk Estimator from the SAFEHEART (Spanish Familial Hypercholesterolemia Cohort) Study (SAFEHEART-RE) (C = 0.63). Survival analysis using Kaplan–Meier curves revealed statistically significant differences in the cumulative incidence of cardiovascular events among the low-, moderate-, and high-risk groups defined by the new score (p < 0.001). Conclusions: The FH-Risk-Score demonstrated superior predictive performance in this cohort of FH patients without prior cardiovascular events. Its clinical utility lies in enhancing risk stratification, guiding lipid-lowering therapy intensification, and supporting personalized preventive strategies in high-risk populations in accordance with AHA criteria.

Acerca de la revista donde se publicó este artículo:

Horizonte Medico

Título del artículo:

Lagged effect of temperature and rainfall on malaria incidence in Colombia (2013–2023): An approach with Bayesian spatiotemporal adjustment

Malaria remains a major public health challenge in Colombia, with a significant increase in cases in recent years. Climate variables—particularly temperature and rainfall—are key drivers of malaria transmission, yet their lagged, non-linear effects across space and time are poorly characterized in the Colombian context. We conducted an ecological, spatiotemporal analysis using weekly malaria case data from 970 municipalities in Colombia (2013–2023) combined with satellite-derived climate data. We applied distributed lag non-linear models (DLNMs) embedded within a Bayesian hierarchical framework using integrated nested Laplace approximation (INLA) to estimate the delayed, non-linear associations between weekly temperature and rainfall and malaria incidence, while accounting for spatial and temporal autocorrelation, forest cover, multidimensional poverty, altitude, population size, and prior case counts. Our results show that malaria risk increases non-linearly with temperature, peaking around 28 °C, with a global exposure of minimum risk (EMR) at 16.43 °C, and significant effects observed at lags of 0–6 weeks. In contrast, lower weekly rainfall was associated with higher malaria risk, with an EMR at 0.85mm. Sensitivity analyses confirmed the robustness of these findings. These results challenge previous studies about climate-driven malaria risk and highlight accelerated transmission dynamics in Colombia’s endemic zones. The identification of specific climate thresholds linked to elevated malaria incidence provides actionable evidence for climate-informed early warning systems and targeted interventions to support malaria elimination efforts in Colombia.

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Plos Global Public Health

Título del artículo:

Geothermal Energy from High-Water Production Zones in the Eastern Venezuela Basin: Simulation Results for Reservoirs in the Orinoco Oil Belt and North of Monagas State, Venezuela

Eastern Venezuela Basin is one of the world\'s most prolific hydrocarbon basins and an ecosystem where water management poses a significant challenge for energy production in Venezuela. Several studies have explored the management and utilization of water from this basin, particularly for improved/ enhanced oil recovery. However, the efficient use of produced water for geothermal energy extraction has not been thoroughly investigated. This article aims to evaluate the feasibility of applying geothermal energy extraction technologies in mature hydrocarbon reservoirs and high-water production wells through numerical simulation. Numerical simulations using 3D sector models were conducted for a high-temperature/high-pressure reservoir in North of Monagas state (140 °C) and in a cluster of wells in the Orinoco Oil Belt (50 °C), where high-water production wells were adapted to assess heat transfer and estimate the energy output from these reservoirs. Furthermore, this article presents a detailed analysis of the sources and composition of waters in Eastern Venezuela Basin hydrocarbon reservoirs, geologic context, geothermal gradients, and key factors influencing geothermal energy applications. It also examines selected geothermal techniques suitable for deep reservoirs in North of Monagas State and shallow reservoirs in the Orinoco Oil Belt, particularly in areas with high water cuts and wells with low commercial value, for geothermal energy generation. The findings of this study suggest that medium-shallow and deep high-temperature geothermal energy techniques, together with the use of water for alternative IOR/EOR processes and exploring hydrogen production and mineral extraction are potential scenarios for water management in the Eastern Venezuela Basin. Sensitivities of key parameters such as borehole depth, reservoir temperature, and circulating flow rate were taken into account during the simulation of geothermal scenarios. Current results emphasize the need for robust studies on geological and geophysical assessments to update geothermal gradients in Eastern Venezuela Basin, as well as physical and geochemical characterization of geothermal water sources. Additionally, for the generation of geothermal energy in this basin from high water production zones, it is crucial to account for physical and geochemical reactions, such as solid precipitation, scaling, acid gases management, and designing efficient underground-to surface heat transfer. These factors directly influence the efficiency, safety, and cost-effectiveness of geothermal applications This article explores the potential use of geothermal energy as an alternative approach for water management and energy generation in complex deep compositional reservoirs and shallow reservoirs with highly viscous crude oils. This study will serve as a reference for technical and economic feasibility assessments in other field applications. The outcomes of this work will help in determining suitable geothermal energy conversion technologies and conducting feasibility analysis for future geothermal energy production in Venezuela.

Acerca de la revista donde se publicó este artículo:

SPE Annual Technical Conference Proceedings

Título del artículo:

Impact of SARS-CoV-2 Infection on Pulmonary Function in the PURE-Colombia Cohort: A Comparative Analysis with Pre-COVID Values and Non-COVID-19 Controls

Background: The factors driving Coronavirus disease 2019 (COVID-19) severity and its long-term respiratory sequelae remain poorly understood. This study evaluates whether baseline lung function (LF) influences COVID-related clinical outcomes, mortality, and post-infection LF decline. Methods: Data from 602 participants in the Prospective Urban Rural Epidemiology (PURE)-Colombia study were analyzed. Among these, 200 with confirmed SARS-CoV-2 infection and 402 controls (65% women; 68% aged ≥60 years). All underwent baseline spirometry prior to 2010 and follow-up testing 1–40 months post-recovery. Among infected individuals, 51 (26%) died. Spirometric parameters Forced Expiratory Volume in 1 Second (FEV1), Forced Vital Capacity (FVC), and Peak Expiratory Flow (PEF) were compared using paired t-tests and Cohen’s d. Non-parametric data were compared using Wilcoxon s (z statistic). Results: Compared to baseline LF, hospitalized COVID-19 patients showed significant declines in follow-up LF: FEV1 (2.84 vs. 2.34 L; p = 0.002), FVC (3.01 vs. 2.53 L; p = 0.006), and PEF (399 vs. 328 L; p = 0.001). Non-hospitalized COVID-19 cases showed a non-significant downward trend, while controls maintained stable LF. Risk factors for post-COVID FEV1 < 80% predicted included hospitalization, elevated waist-to-hip ratio, and incomplete or absent COVID-19 vaccination. Moderate-to-high physical activity was protective. Post-COVID PEF < 80% predicted was associated with female sex, diabetes mellitus, and subsidized healthcare enrollment. Mortality risk was elevated among individuals with low baseline LF, age > 65, male sex, hypertension, obesity, low physical activity, and reduced handgrip strength. Conclusions: Significant LF decline was observed in hospitalized COVID-19 patients, with minimal changes in outpatients and controls. Identifying clinical and demographic predictors of post-COVID LF impairment may inform targeted interventions to mitigate long-term pulmonary complications.

Acerca de la revista donde se publicó este artículo:

Journal of Clinical Medicine

Título del artículo:

Pedagogical practice and university social responsibility: peace building experiences in the department of Córdoba.

University Social Responsibility (USR) is a management tool that recognizes the relevance of universities in the transformation of the territories that are part of their area of influence and is aimed at strengthening the social, ethical and political commitment of higher education. Its implementation promotes an active connection with the community, based on principles of equity, sustainability and social justice. In this framework, the objective is to analyze the impact of the pedagogical practice of Social Work in the consolidation of university social responsibility as a strategy for peace building in the department of Córdoba. The methodological design was mixed with exploratory sequential order (qualitative / quantitative). The techniques used to collect information in the qualitative phase were interviews with social leaders of the communities of the department of Córdoba in the municipalities of Montería, Valencia, Tierralta and San Andrés de Sotavento, semi-structured participant observation and documentary review. Regarding the quantitative phase, surveys were conducted with teachers who accompany the pedagogical practice subject of Social Work and community students who attended the eighth (8) semester. The results show that social work practice focuses on immediate needs and endogenous processes, promoting empathy, conflict resolution, and social empowerment. Students believe their theoretical and practical training prepares them to address social problems. The study\'s conclusions highlight the importance of interdisciplinary collaboration and the participation of all stakeholders in building an inclusive, equitable, and resilient community environment in which University Social Responsibility plays a key role.

Acerca de la revista donde se publicó este artículo:

Aibi Revista De Investigacion Administracion E Ingenierias

Título del artículo:

Therapeutic Plateletpheresis for Thrombocytosis: Critical Analytic Reviews and Original Multicenter Experience

Primary thrombocytosis is associated with increased risk of thromboembolism and bleeding. Therapeutic plateletpheresis (TPP), capable of rapid, transient platelet (Plt) count reduction, is employed as an emergency intervention for symptomatic thrombocytosis while awaiting the therapeutic effect of medical cytoreductive therapy. Nonetheless, the effect of TPP on outcomes and optimal role for TPP remain poorly understood. Critical analytic review of highest-pertinence and -quality articles was performed with the goal of establishing current knowledge gaps to direct original case data collection. Retrospective review of TPP procedures at six United States sites over ten years was performed. Pre-TPP symptoms, medical cytoreduction, adverse events (AEs), and 30-day post-TPP outcomes were analyzed. Critical analytic review revealed no randomized controlled trial (RCT) or controlled trials (CT) of TPP versus first-line medical therapies, and insufficient information on symptoms, goals, criteria-based determination of course, and post-TPP outcomes. New data presented here details 45 adult patients receiving TPP for thrombocytosis. TPP was performed rarely (of n = 6 sites, median 4.5 TPP/10 years, range 4-20). The most frequent diagnosis was myeloproliferative neoplasm (MPN) (34, 75.6%). The most frequent symptoms were any neurologic symptoms (present pre-64.4% of TPPs). TPP goals were commonly Plt-related (n = 85, 94.4% total TPP) and were met in 72.9% of TPP with stated Plt-related goals. Often, (n = 11/50 single TPP or series) TPP was begun or continued despite resolution of the stated indication for TPP. AE occurred during 20% of TPP and were predominantly hypocalcemia related (17/18, 94.4%). Four patients died within 30 days post TPP, three of stroke, one of a non-stroke neurologic complication. All deaths were deemed unrelated to TPP. Critical analytic reviews revealed no RCTs or CTs, a paucity of data on TPP goals and prescribed courses, and significant variability in AE reporting. Little information on long-term outcomes is available. Without controlled evidence supporting clinical outcome benefit of TPP for symptomatic thrombocytosis, utilization is expected to be rare and guideline-informed, following careful consideration of known risk in the setting of unclear benefit.

Acerca de la revista donde se publicó este artículo:

Transfusion Medicine Reviews

Título del artículo:

Reflections on the Familiarization and Feminization of Care for People with Disabilities: Public Health Perspectives

Introduction. The feminization and familiarization of caregiving have become a global concern and is prioritized as a public health issue, not only because of the potential health consequences for those who perform this role, but also because of the increasing population that will require a caregiver. This article aims to offer a reflection on the feminization and familiarization of caregiving for people with disabilities, based on the experience of designing a public health management project using the Objectives-Oriented Project Planning (ZOPP) approach. Qualitative data collection methods were employed, including focus groups and semi-structured interviews. Topics of reflection. The feminization and familiarization of caregiving for people with disabilities, its effects on the health, personal and economic development of women caregivers, and the experience of designing a program to promote well-being. Conclusions. It is of great importance to recognize the feminization and increasing prevalence of care work as a public health issue, taking into account the protection and promotion of health and well-being, as well as the participation of caregivers in social, educational, work, and political life. This also implies that the role of caregivers should be recognized within the context of paid employment.

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Medunab

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Anticoagulation with warfarin in Patients from Eastern Colombia: A Prospective Longitudinal Observational Study

Introduction. Warfarin, an oral anticoagulant with a narrow therapeutic margin, exposes patients to risks associated with its therapy, underscoring the need for constant monitoring. In this context, this study evaluated the therapeutic follow-up of warfarin in anticoagulated patients at an ambulatory healthcare institution in eastern Colombia. Methodology. An observational analytical longitudinal study with prospective follow-up was conducted, including 244 patients, in which sociodemographic and clinical variables obtained from medical records were analyzed over a one-year period. Results. Within the participant cohort, 53.7% were female, and the prevailing diagnosis was atrial fibrillation and atrial flutter (46.3%). Generic warfarin was administered to 60.7% of participants, while 52.9% were concurrently prescribed an average of 5 medications. Alterations in weekly therapeutic dose showed significant correlation with time within therapeutic range (p = 0.000) and occurrence of adverse drug events (p = 0.001). Drug non-adherence (13.1%) emerged as the most frequent event. Assessment of 3,032 International Normalized Ratio results revealed a mean time in therapeutic range of 149 days, with an average of 6 tests falling within this range. Discussion. Suboptimal anticoagulation control was primarily associated with dose adjustments and patient non-adherence rather than manufacturer changes or comorbidities. These findings underscore the critical role of patient education in warfarin therapy management, particularly among elderly populations with polypharmacy. Conclusion. Anticoagulation programs should implement rigorous monitoring of weekly therapeutic dose administration, complemented by continuous education regarding timing of intake, posology, and factors influencing the International Normalized Ratio. This recommendation has particular significance given the advanced age of most patients.

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Medunab

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Risk factors for complications of necrotizing enterocolitis in term neonates with congenital heart disease at a referral hospital in Colombia: A retrospective cohort study

Introduction: Necrotizing enterocolitis (NEC) is one of the most severe complications in neonates and infants. However, term infants with congenital heart disease (CHD) represent a scenario of multiple complications due to pathophysiological mechanisms that differ from the classic pathogenesis. The objective of the study was to determine factors associated with complications of NEC in term infants hospitalized for CHD in a pediatric intensive care unit of a referral hospital in Colombia between 2010 and 2023. Materials and Methods: A retrospective cohort study was conducted, including 148 term infants with CHD who developed NEC during their hospitalization. Demographic and clinical characteristics were analyzed. Descriptive and bivariate analyses were performed using the Chi-square and Mann–Whitney U-tests. A multivariate analysis was conducted using robust Poisson regression with Stata 18.0® software. Results: The most frequent CHD were hypoplastic left heart syndrome (HLHS), pulmonary atresia, and persistent ductus arteriosus. The most common NEC stages were IIa (38.5%) and IIb (23.7%), which were associated with complications such as short bowel syndrome (18.8%) and post-surgical sepsis (37.5%). Among factors related to complications from NEC, medical-surgical management increased the risk (adjusted relative risk: 10.14 and 95% confidence interval: 1.95–48.72), while cardiac surgery reduced the likelihood of complications. Conclusions: NEC in infants with CHD is associated with multiple factors currently under investigation, which may explain a pathophysiological mechanism distinct from that of classic NEC.

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Annals of Pediatric Cardiology

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The first physician matters: Family medicine deserves recognition in lupus guidelines

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Lupus