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Abstract BACKGROUND Despite some evidence for the adoption of endoscopic transnasal trans-sphenoidal surgery (ETSS) for pituitary adenomas, the advantages of this technique over the traditional approach have not been robustly confirmed. OBJECTIVE To compare ETSS with the microscopic sublabial trans-septal trans-sphenoidal surgery (MTSS) for pituitary adenomas. METHODS We retrospectively reviewed 2 cohorts of ETSS and MTSS performed at our institution from 1995 to 2017. Patient characteristics, surgical data, and outcomes were recorded prospectively. We performed a univariate and multivariable analysis to determine the best surgical approach. To improve the quality of the results, we matched the distribution of patient characteristics between groups by propensity score (PS) method. RESULTS A total of 187 procedures (90 MTSS, 97 ETSS) were reviewed. We found better results in the ETSS group in terms of gross total resection (P = .002) and hormone-excess secretion control (P = .014). There was also a lower incidence of cerebrospinal fluid leakage (P = .039), transitory diabetes insipidus (P = .028), and postoperative hypopituitarism (P = .045), as well as a shorter hospital length of stay (P < .001). After PS matching, we confirmed by multivariable logistic regression analysis an increased odds ratio of gross total resection for the ETSS (3.910; 95% CI 1.720-8.889; P = .001). CONCLUSION By PS method, our results suggest that the ETSS provides advantages over the traditional MTSS approach for tumor resection. Better control of secreting tumors and a lower rate of most complications also support the selection of the ETSS approach for the treatment of pituitary adenomas. Graphical Abstract Graphical Abstract

Educational gamification consists of the use of game elements and game design techniques in the educational context. The objective of this study is to examine the existing evidence on the impact of educational gamification on student motivation and academic performance in the last five years in order to analyze its distribution over time, educational level, variables, and most used game elements, and know the advantages of its implementation in the classroom. For this, a systematic review is proposed through the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) methodology in three multidisciplinary databases, through an exhaustive search with inclusion and exclusion criteria on quantitative experimental studies that explore gamification in educational centers, which provide information about the most current lines of research. Fourteen studies were included in this review. These used experimental or quasi-experimental designs. Most of them report gamification as a valid learning strategy. The results support the conclusion that educational gamification has a potential impact on the academic performance, commitment, and motivation of students. Therefore, this study implies the need to expand research on the needs and challenges of students when learning with gamified techniques.

Atherosclerosis is a chronic low-grade inflammatory disease that affects large and medium-sized arteries and is considered to be a major underlying cause of cardiovascular disease (CVD). The high risk of mortality by atherosclerosis has led to the development of new strategies for disease prevention and management, including immunonutrition. Plant-based dietary patterns, functional foods, dietary supplements, and bioactive compounds such as the Mediterranean Diet, berries, polyunsaturated fatty acids, ω-3 and ω-6, vitamins E, A, C, and D, coenzyme Q10, as well as phytochemicals including isoflavones, stilbenes, and sterols have been associated with improvement in atheroma plaque at an inflammatory level. However, many of these correlations have been obtained and in experimental animals' models. On one hand, the present review focuses on the evidence obtained from epidemiological, dietary intervention and supplementation studies in humans supporting the role of immunonutrient supplementation and its effect on anti-inflammatory response in atherosclerotic disease. On the other hand, this review also analyzes the possible molecular mechanisms underlying the protective action of these supplements, which may lead a novel therapeutic approach to prevent or attenuate diet-related disease, such as atherosclerosis.

To describe fundus autofluorescence (FAF) patterns in premature infants and to determine whether FAF increases gradually with increasing post-gestational age. This was a cross-sectional, observational and descriptive case series. FAF images were obtained from patients screened for Retinopathy of Prematurity. The presence of the following hypo-autofluorescence areas/structures was graded and ranked: macular pigment (foveal centre), optic nerve head, peripapillary vessels/vascular arcade (PP/VA), and equatorial vessels (EqV). Ranks were attributed to the number of structures visualized from the posterior pole towards the periphery. The rank of FAF could then be analysed by Spearman’s correlation against age. Additionally, patients were divided by age into group 1 (< 40 weeks of corrected gestational age (WCGA)) and group 2 (> 40 WCGA). Differences between groups were tested with the Mann–Whitney U test. Thirteen patients were analysed. The mean WCGA at examination was 47.85 weeks. Spearman’s correlation showed a strong positive correlation (r = 0.714) (P = 0.006) of FAF and WCGA. The Mann–Whitney U test revealed that the PP/VA and EqV were significantly more visible at > 40 WCGA than at < 40 WCGA (8.0 [P = 0.016] and 7.5 [P = 0.03], respectively). Patterns of FAF are described for the first time in premature infants. FAF increases gradually with age and centrifugally from the posterior pole towards the equator in premature infants.

Understanding nanocomposite interfacial bonding under environmental conditions will lead to game-changing material applications in energy, aerospace, electronics, and infrastructure applications. Carbon nanotube (CNT) yarns with high-temperature toughened matrices are candidates to be used in aircraft and space components. While operating, these components are exposed to severe temperatures, which alter their performance due to changes near the interfacial area. The present work intends to demonstrate the importance of statistical and data-driven approaches to quantify and further understand the interfacial behavior between inclusion and matrices. The relationship between temperature, strain rate, and polymer matrices on the interfacial shear strength (IFSS) of CNT nanocomposites was studied. The fiber bundle pull-out method was performed on miniature samples to thoroughly study nano-interfaces at a broad temperature range and at different testing speeds. Statistical analysis showed that temperature is highly significant and affects the IFSS, independent of matrix, and strain rate. In addition, the interaction between matrix and temperature and the interaction between all three factors also appeared to be significant. It was observed that IFSS exhibits non-linear behavior as a function of temperature. The data was modeled using regression splines for each substrate material, and all showed that IFSS is a decreasing function of temperature. Moreover, the energy needed to debond the CNT from polymer matrices is reduced by more than 60% between temperature extremes.

Background Precision medicine is a promising approach that has revolutionized disease prevention and individualized treatment. The DELFOS oracle is a model-driven genomics platform that aids clinicians in identifying relevant variations that are associated with diseases. In its previous version, the DELFOS oracle did not consider the high degree of variability of genomics data over time. However, changes in genomics data have had a profound impact on clinicians’ work and pose the need for changing past, present, and future clinical actions. Therefore, our objective in this work is to consider changes in genomics data over time in the DELFOS oracle. Methods Our objective has been achieved through three steps. First, we studied the characteristics of each database from which the DELFOS oracle extracts data. Second, we characterized which genomics concepts of the conceptual schema that supports the DELFOS oracle change over time. Third, we updated the DELFOS Oracle so that it can manage the temporal dimension. To validate our approach, we carried out a use case to illustrate how the new version of the DELFOS oracle handles the temporal dimension. Results Three events can change genomics data, namely, the addition of a new variation, the addition of a new link between a variation and a phenotype, and the update of a link between a variation and a phenotype. These events have been linked to the entities of the conceptual model that are affected by them. Finally, a new version of the DELFOS oracle that can deal with the temporal dimension has been implemented. Conclusion Huge amounts of genomics data that is associated with diseases change over time, impacting patients’ diagnosis and treatment. Including this information in the DELFOS oracle added an extra layer of complexity, but using a model-driven based approach mitigated the cost of implementing the needed changes. The new version handles the temporal dimension appropriately and eases clinicians’ work.

Traumatic axonal injury (TAI) contributes significantly to mortality and morbidity after traumatic brain injury (TBI), but its identification is still a diagnostic challenge because of the limitations of conventional imaging techniques to characterized it. Diffusion tensor imaging (DTI) can indirectly identify areas of damaged white matter (WM) integrity by detecting water molecule diffusion alterations. Therefore, DTI may improve detection and description of TAI lesions after TBI. We have obtained DTI data from 217 patients with moderate to severe TBI acquired at a median of 19 days after TBI, and patient DTI metrics were compared with data obtained from 58 age-matched healthy controls. Region of interest (ROI) method was applied to obtain mean fractional anisotropy (FA) value in 28 WM fiber bundles susceptible to TAI. Our main results were that when we compared patients with controls, patients, regardless of TBI severity, showed significantly reduced mean FA in almost all ROI measured. We found statistically significant correlation between FA metrics and some demographic, clinical, and conventional imaging characteristics. Additionally, these FA metrics were highly associated with outcome assessed at hospital discharge and at 6 and 12 months after TBI. We conclude that FA reduction in the subacute stage after TBI assessed by DTI may be a useful prognostic factor for long-term unfavorable outcome.

Nitric oxide (NO) is an important signalling molecule in different animal and plant physiological processes. Little is known about its biological function in plants and on the enzymatic source or site of NO production during plant development. The endogenous NO production from L-arginine (NO synthase activity) was analyzed in leaves, stems and roots during plant development, using pea seedlings as a model. NOS activity was analyzed using a novel chemiluminescence-based assay which is more sensitive and specific than previous methods used in plant tissues. In parallel, NO accumulation was analyzed by confocal laser scanning microscopy using as fluorescent probes either DAF-2 DA or DAF-FM DA. A strong increase in NOS activity was detected in stems after 11 days growth, coinciding with the maximum stem elongation. The arginine-dependent NOS activity was constitutive and sensitive to aminoguanidine, a well-known irreversible inhibitor of animal NOS, and this NOS activity was differentially modulated depending on the plant organ and seedling developmental stage. In all tissues studied, NO was localized mainly in the vascular tissue (xylem) and epidermal cells and in root hairs. These loci of NO generation and accumulation suggest novel functions for NO in these cell types.

BackgroundThere is skepticism about the benefit of surgery in elderly patients affected by traumatic brain injury (TBI) due to the negative effect of age on the outcome and surgical complications. However, there are few studies that have investigated differences in patient’s outcome between surgically and conservatively managed patients after adjusting for the imbalance in preinjury characteristics and clinical and radiological features. The primary aim of this study was to evaluate the effect of early surgery on mortality and functional recovery in a cohort of older adults with acute traumatic intracranial lesions after adjustment by Propensity Score (PS) matching. Materials and methodsWe conducted a retrospective cohort study on older adult patients (≥ 65 years) admitted for TBI between 2013 and 2023 to a single level 1 trauma center. Patients were categorized based on whether they underwent early surgery (< 48 h after TBI) for a space-occupying lesion evacuation. PS model was constructed based on age, frailty, comorbidities (Charlson comorbity index and American Society of Anaesthesiologists score), anticoagulants, hypoxia, shock, pupillary abnormalities and GCS motor response upon admission, midline shift, basal cistern effacement, volume of subdural and intracerebral hematomas, and limitation of life-sustaining treatment decisions.The effect of early surgery on 30-day mortality and unfavorable functional outcomes (GOSE 1–3) at 6 and 12 months were investigated after matching by paired test.ResultsWe identified and reviewed 301 patients who met all inclusion criteria and contained no exclusions. After matching, 62 patients (31 pairs of conservative and surgical patients) remained as the matched datasets. Our key finding was that older adult TBI patients who underwent early surgery had a statistically significant reduction in the risk of 30-day mortality (OR 0.313, 95% CI 0.114–0.853, p = 0.023) and unfaourable outcome at 12 months after TBI (OR 0.286, 95% CI 0.094–0.868, p = 0.027).ConclusionsEarly surgery was associated with decreased 30-day mortality and better functional outcome at 12 months after TBI in older adults with few comorbidities and good functionality when clinically affected by acute traumatic intracranial lesions with mass effect.

Background Suicide is an alarming public health problem accounting for a considerable number of deaths each year worldwide. Many more individuals contemplate suicide. Understanding the attributes, characteristics, and exposures correlated with suicide remains an urgent and significant problem. As social networking sites have become more common, users have adopted these sites to talk about intensely personal topics, among them their thoughts about suicide. Such data has previously been evaluated by analyzing the language features of social media posts and using factors derived by domain experts to identify at-risk users. Results In this work, we automatically extract informal latent recurring topics of suicidal ideation found in social media posts. Our evaluation demonstrates that we are able to automatically reproduce many of the expertly determined risk factors for suicide. Moreover, we identify many informal latent topics related to suicide ideation such as concerns over health, work, self-image, and financial issues. Conclusions These informal topics topics can be more specific or more general. Some of our topics express meaningful ideas not contained in the risk factors and some risk factors do not have complimentary latent topics. In short, our analysis of the latent topics extracted from social media containing suicidal ideations suggests that users of these systems express ideas that are complementary to the topics defined by experts but differ in their scope, focus, and precision of language.