MelastomaTRAITs 1.0: A database of functional traits in Melastomataceae, a large pantropical angiosperm family.

The recent availability of open-access repositories of functional traits has revolutionized trait-based approaches in ecology and evolution. Nevertheless, the underrepresentation of tropical regions and lineages remains a pervasive bias in plant functional trait databases, which constrains large-scale assessments of plant ecology, evolution, and biogeography. Here, we present MelastomaTRAITs 1.0, a comprehensive and updatable database of functional traits for the pantropical Melastomataceae, the ninth-largest angiosperm family with 177 genera and more than 5800 species. Melastomataceae encompass species with a wide diversity of growth forms (herbs, shrubs, trees, epiphytes, and woody climbers), habitats (including tropical forests, savannas, grasslands, and wetlands from sea level to montane areas above the treeline), ecological strategies (from pioneer, edge-adapted and invasive species to shade-tolerant understory species), geographic distribution (from microendemic to continental-wide distribution), reproductive, pollination, and seed dispersal systems. MelastomaTRAITs builds on 581 references, such as taxonomic monographs, ecological research, and unpublished data, and includes four whole-plant traits, six leaf traits, 11 flower traits, 18 fruit traits, and 27 seed traits for 2520 species distributed in 144 genera across all 21 tribes. Most data come from the Neotropics where the family is most species-rich. Miconieae (the largest tribe) contains the highest number of trait records (49.6%) and species (41.1%) records. The trait types with the most information in the database were whole-plant traits, flowers, and leaf traits. With the breadth of functional traits recorded, our database helps to fill a gap in information for tropical plants and will significantly improve our capacity for large-scale trait-based syntheses across levels of organization, plant-animal interactions, regeneration ecology, and thereby support conservation and restoration programs. There are no copyright restrictions on the dataset; please cite this data paper when reusing the data.

Food insecurity in children with heart disease.

PURPOSE OF REVIEW: This review discusses the epidemiology of food insecurity (FI) and its consequences in children with congenital heart disease. We aimed to highlight current interventions to screen and address food insecurity in the context of pediatric cardiology and to offer strategies for providers to engage in this meaningful work. RECENT FINDINGS: Food insecurity is consistently associated with poor health outcomes in children. In the United States, 17.3% of households with children experience FI. Nonwhite and single-parent families are disproportionately affected. Interestingly, because of a low-quality diet, FI is associated with childhood obesity, putting affected children at increased risk for cardiovascular morbidity and mortality over time. Children with congenital heart disease are susceptible to poor outcomes due to unique altered metabolic demands, increased risk for growth impairment, frequent need for specialized feeding regimens, and additional morbidity associated with heart surgery in underweight children. SUMMARY: Today, the burden of screening for FI is most commonly placed on general pediatricians. Considering the importance of nutrition to cardiovascular health and general wellbeing, and the ease with which screening can be performed, pediatric cardiologists and other subspecialists should take a more active role in FI screening.

Inter-hospital moderate and advanced Alzheimer's disease detection through convolutional neural networks.

Electroencephalography (EEG) has been a fundamental technique in the identification of health conditions since its discovery. This analysis specifically centers on machine learning (ML) and deep learning (DL) methodologies designed for the analysis of electroencephalogram (EEG) data to categorize individuals with Alzheimer's Disease (AD) into two groups: Moderate or Advanced Alzheimer's dementia. Our study is based on a comprehensive database comprising 668 volunteers from 5 different hospitals, collected over a decade. This diverse dataset enables better training and validation of our results. Among the methods evaluated, the CNN (deep learning) approach outperformed others, achieving a remarkable classification accuracy of 97.45% for patients with Moderate Alzheimer's Dementia (ADM) and 97.03% for patients with Advanced Alzheimer's Dementia (ADA). Importantly, all the compared methods were rigorously assessed under identical conditions. The proposed DL model, specifically CNN, effectively extracts time domain features from EEG data in time, resulting in a significant reduction in learnable parameters and data redundancy.

Resiliencia entre deportistas de alto rendimiento y no deportistas con discapacidad física / Resiliência entre desportistas de alto rendimento e não desportistas com deficiência física / Resilience between high performance athletes and non-athletes with physical disabilities

Se investigó la diferencia existente entre el nivel de resiliencia de personas con discapacidad física, comparando deportistas de alto rendimiento y personas no deportistas. Se realizó un muestreo por conveniencia con la participación de 20 personas con discapacidad física, 10 deportistas de alto rendimiento de Boyacá y 10 no deportistas; ambos grupos con 6 hombres y 4 mujeres, con edades entre los 19 y 25 años. Estudio de enfoque cuantitativo, de corte transversal y tipo comparativo no experimental, utilizando el instrumento Escala de Resiliencia de Wagnild y Young (1993), validado y estandarizado por Gómez (2019). Los resultados evidencian una diferencia de medias superior para el grupo de deportistas de rendimiento en comparación con los no deportistas, sin embargo, dicha diferencia no fue estadísticamente significativa (t(18) = 1.38; p= .092) concluyendo que el deporte de alto rendimiento es uno de muchos factores que favorecen la resiliencia en personas con discapacidad física.(AU)

The difference in resilience levels of people with physical disabilities was investigated by comparing high-performance and non-athlete athletes. A convenience sampling was conducted with the participation of 20 people with physical disabilities, 10 high-performance athletes from Boyacá, and 10 non-athletes; groups with 6 men and 4 women, aged between 19 and 25 years. The study had a quantitative, cross-sectional, comparative, and non-experimental design, using the Resilience Scale of Wagnild and Young (1993), validated and standardized by Gómez (2019). The results show a higher mean difference for the group of performance athletes compared to non-athletes;however, this difference was not statistically significant (t(18) = 1.38; p= .092), concluding that sport High performance is one of many factors that promote resilience in people with physical disabilities.(AU)

A diferença nos níveis de resiliência de pessoas com deficiência física foi investigada comparando atletas de alto rendimento e não atletas. Foi realizada uma amostragem por conveniência com a participação de 20 pessoas com deficiência física, 10 atletas de alto desempenho de Boyacá e 10 não atletas; ambos os grupos com 6 homens e 4 mulheres, com idades entre 19 e 25 anos. O estudo teve um design quantitativo, transversal, comparativo e não experimental, usando a Escala de Resiliência de Wagnild e Young (1993), validada e padronizada por Gómez (2019). Os resultados mostram uma diferença média maior para o grupo de atletas de rendimento em comparação aos não atletas, porém, essa diferença não foi estatisticamente significativa (t(18) = 1,38; p= 0,092), concluindo que o alto rendimento esportivo é um dos muitos fatores que promovem a resiliência em pessoas com deficiência física.(AU)

Automatic identification of schizophrenia employing EEG records analyzed with deep learning algorithms.

Electroencephalography is a method of detecting and analyzing electrical activity in the brain. This electrical activity can be recorded and processed to aid in the clinical diagnosis of mental disorders. In this study, a novel system for classifying schizophrenia patients from EEG recordings is presented. The developed algorithm decomposes the EEG signals into a system of radial basis functions using the method of fuzzy means. This decomposition helps to obtain the information from the various electrodes of the EEG and allows separating between healthy controls and patients with schizophrenia. The proposed method has been compared with classical machine learning algorithms, such as, K-Nearest Neighbor, Adaboost, Support Vector Machine, and Bayesian Linear Discriminant Analysis. The results show that the proposed method obtains the highest values in terms of balanced accuracy, recall, precision and F1 score, close to 93 % in all cases. The model developed in this study can be implemented in brain activity analysis systems that help in the prediction of patients with schizophrenia.

Inter-Hospital Advanced and Mild Alzheimer's Disease Classification Based on Electroencephalogram Measurements via Classical Machine Learning Algorithms.

BACKGROUND: In pursuit of diagnostic tools capable of targeting distinct stages of Alzheimer's disease (AD), this study explores the potential of electroencephalography (EEG) combined with machine learning (ML) algorithms to identify patients with mild or moderate AD (ADM) and advanced AD (ADA). OBJECTIVE: This study aims to assess the classification accuracy of six classical ML algorithms using a dataset of 668 patients from multiple hospitals. METHODS: The dataset comprised measurements obtained from 668 patients, distributed among control, ADM, and ADA groups, collected from five distinct hospitals between 2011 and 2022. For classification purposes, six classical ML algorithms were employed: support vector machine, Bayesian linear discriminant analysis, decision tree, Gaussian Naïve Bayes, K-nearest neighbor and random forest. RESULTS: The RF algorithm exhibited outstanding performance, achieving a remarkable balanced accuracy of 93.55% for ADA classification and 93.25% for ADM classification. The consistent reliability in distinguishing ADA and ADM patients underscores the potential of the EEG-based approach for AD diagnosis. CONCLUSIONS: By leveraging a dataset sourced from multiple hospitals and encompassing a substantial patient cohort, coupled with the straightforwardness of the implemented models, it is feasible to attain notably robust results in AD classification.

GABA decrease is associated with degraded neural specificity in the visual cortex of glaucoma patients.

Glaucoma is an age-related neurodegenerative disease of the visual system, affecting both the eye and the brain. Yet its underlying metabolic mechanisms and neurobehavioral relevance remain largely unclear. Here, using proton magnetic resonance spectroscopy and functional magnetic resonance imaging, we investigated the GABAergic and glutamatergic systems in the visual cortex of glaucoma patients, as well as neural specificity, which is shaped by GABA and glutamate signals and underlies efficient sensory and cognitive functions. Our study shows that among the older adults, both GABA and glutamate levels decrease with increasing glaucoma severity regardless of age. Further, our study shows that the reduction of GABA but not glutamate predicts the neural specificity. This association is independent of the impairments on the retina structure, age, and the gray matter volume of the visual cortex. Our results suggest that glaucoma-specific decline of GABA undermines neural specificity in the visual cortex and that targeting GABA could improve the neural specificity in glaucoma.

The occurrence of emerging compounds in real urban wastewater before and after the COVID-19 pandemic in Cali, Colombia.

The COVID-19 pandemic is considered one of the most significant global disasters in the last years. The rapid increase in infections, deaths, treatment, and the vaccination process has resulted in the excessive use of pharmaceuticals that have entered the environment as micropollutants. Considering the prior information about the presence of pharmaceuticals found in the wastewater of Cali, Colombia, which was collected from 2015 to 2022. The data monitored after the COVID-19 pandemic showed an increase in the concentration of analgesics and anti-inflammatory drugs of up to 91%. This increase was associated with the consumption of pharmaceuticals for mild symptoms, such as fever and pain. Moreover, the increase in concentration of pharmaceuticals poses a highly ecological threat, which was up to 14 times higher than that reported before of COVID-19 pandemic. These results showed that the COVID-19 had not only impacted human health but also had an effect on environmental health.

Diverging patterns of plasticity in the nucleus basalis of Meynert in early- and late-onset blindness.

Plasticity in the brain is impacted by an individual's age at the onset of the blindness. However, what drives the varying degrees of plasticity remains largely unclear. One possible explanation attributes the mechanisms for the differing levels of plasticity to the cholinergic signals originating in the nucleus basalis of Meynert. This explanation is based on the fact that the nucleus basalis of Meynert can modulate cortical processes such as plasticity and sensory encoding through its widespread cholinergic projections. Nevertheless, there is no direct evidence indicating that the nucleus basalis of Meynert undergoes plastic changes following blindness. Therefore, using multiparametric magnetic resonance imaging, we examined if the structural and functional properties of the nucleus basalis of Meynert differ between early blind, late blind and sighted individuals. We observed that early and late blind individuals had a preserved volumetric size and cerebrovascular reactivity in the nucleus basalis of Meynert. However, we observed a reduction in the directionality of water diffusion in both early and late blind individuals compared to sighted individuals. Notably, the nucleus basalis of Meynert presented diverging patterns of functional connectivity between early and late blind individuals. This functional connectivity was enhanced at both global and local (visual, language and default-mode networks) levels in the early blind individuals, but there were little-to-no changes in the late blind individuals when compared to sighted controls. Furthermore, the age at onset of blindness predicted both global and local functional connectivity. These results suggest that upon reduced directionality of water diffusion in the nucleus basalis of Meynert, cholinergic influence may be stronger for the early blind compared to the late blind individuals. Our findings are important to unravelling why early blind individuals present stronger and more widespread cross-modal plasticity compared to late blind individuals.

Baricitinib or imatinib in hospitalized COVID-19 patients: Results from COVINIB, an exploratory randomized clinical trial.

Baricitinib and imatinib are considered therapies for coronavirus disease 2019 (COVID-19), but their ultimate clinical impact remains to be elucidated, so our objective is to determine whether these kinase inhibitors provide benefit when added to standard care in hospitalized COVID-19 patients. Phase-2, open-label, randomized trial with a pick-the-winner design conducted from September 2020 to June 2021 in a single Spanish center. Hospitalized adults with COVID-19 pneumonia and a symptom duration ≤10 days were assigned to 3 arms: imatinib (400 mg qd, 7 days) plus standard-care, baricitinib (4 mg qd, 7 days) plus standard-care, or standard-care alone. Primary outcome was time to clinical improvement (discharge alive or a reduction of 2 points in an ordinal scale of clinical status) compared on a day-by-day basis to identify differences ≥15% between the most and least favorable groups. Secondary outcomes included oxygenation and ventilatory support requirements, additional therapies administered, all-cause mortality, and safety. One hundred and sixty-five patients analyzed. Predefined criteria for selection of the most advantageous arm were met for baricitinib, but not for imatinib. However, no statistically significant differences were observed in formal analysis, but a trend toward better results in patients receiving baricitinib was found compared to standard care alone (hazard ratio [HR] for clinical improvement: 1.41, 95% confidence intervals [CI]: 0.96-2.06; HR for discontinuing oxygen: 1.46, 95% CI: 0.94-2.28). No differences were found regarding additional therapies administered or safety. Baricitinib plus standard care showed better results for hospitalized COVID-19 patients, being the most advantageous therapeutic strategy among those proposed in this exploratory clinical trial.

Patient Insight With Collagenase Treatment for Dupuytren: A Prospective Study.

PURPOSE: There appears to be controversy regarding differing patient and physician perceptions of adverse effects (AEs) in the treatment of Dupuytren disease with collagenase clostridium histolyticum (CCH). The aim of this study was to compare the number, type, and severity of AEs perceived and reported by patients and by their physician METHODS: To assess AEs following CCH injection in a standardized way, patients were given a list of predefined complications and asked to rate their severity on a 4-point Likert scale ranging from 1 (serious) to 4 (insignificant). RESULTS: Eighty-five patients were included. Patients reported fewer AEs than their physician (mean, 1.48 vs 2.18). There was no agreement between physician- and patient-reported AEs except for skin lacerations, which showed fair agreement (κ = 0.257). CONCLUSIONS: Patients and physicians differ in their evaluation of AEs due to CCH treatment in Dupuytren disease. A fair level of agreement was observed for skin lacerations. CLINICAL RELEVANCE: Greater consensus is needed when defining AEs associated with CCH in the treatment of Dupuytren disease.

Rock n' Seeds: A database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation.

Advancing functional ecology depends fundamentally on the availability of data on reproductive traits, including those from tropical plants, which have been historically underrepresented in global trait databases. Although some valuable databases have been created recently, they are mainly restricted to temperate areas and vegetative traits such as leaf and wood traits. Here, we present Rock n' Seeds, a database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation, recognized as outstanding centers of diversity and endemism. Data were compiled through a systematic literature search, resulting in 103 publications from which seed functional traits were extracted. The database includes information on 16 functional traits for 383 taxa from 148 genera, 50 families, and 25 orders. These 16 traits include two dispersal, six production, four morphological, two biophysical, and two germination traits-the major axes of the seed ecological spectrum. The database also provides raw data for 48 germination experiments, for a total of 10,187 records for 281 taxa. Germination experiments in the database assessed the effect of a wide range of abiotic and biotic factors on germination and different dormancy-breaking treatments. Notably, 8255 of these records include daily germination counts. This input will facilitate synthesizing germination data and using this database for a myriad of ecological questions. Given the variety of seed traits and the extensive germination information made available by this database, we expect it to be a valuable resource advancing comparative functional ecology and guiding seed-based restoration and biodiversity conservation in tropical megadiverse ecosystems. There are no copyright restrictions on the data; please cite this paper when using the current data in publications; also the authors would appreciate notification of how the data are used in publications.

O avanço da ecologia funcional depende fundamentalmente da disponibilidade de dados sobre traços reprodutivos, incluindo dados de plantas tropicais, que têm sido historicamente subrepresentados em bancos de dados de traços funcionais globais. Embora alguns bancos de dados valiosos tenham sido criados recentemente, eles são restritos principalmente a áreas temperadas e a traços vegetativos, como traços de folhas e madeira. Neste artigo apresentamos Rock n' Seeds, um banco de dados de traços funcionais de sementes e experimentos de germinação de vegetações associadas a afloramentos rochosos do Brasil, os quais são reconhecidos como centros notáveis de diversidade e endemismo. Os dados foram compilados através de uma revisão sistemática na literatura, resultando em 103 publicações das quais foram extraídos os traços funcionais das sementes. O banco de dados inclui informações de 16 traços funcionais para 383 taxa de 148 gêneros, 50 famílias e 25 ordens. Estes dezesseis traços incluem dois traços de dispersão, seis de produção, quatro morfológicos, dois biofísicos e dois germinativos; os eixos principais do espectro ecológico da semente. O banco de dados também fornece os dados brutos para 48 experimentos de germinação para um total de 10.187 registros para 281 taxa. Os experimentos de germinação no banco de dados avaliaram o efeito de uma ampla gama de fatores abióticos e bióticos sobre a germinação e diferentes tratamentos de quebra de dormência. Particularmente, 8.255 desses registros incluem a contagem diária da germinação. Estas informações facilitarão a síntese de dados de germinação e a utilização deste banco de dados para uma grande variedade de questões ecológicas. Dada a variedade de traços das sementes e as amplas informações sobre germinação disponibilizadas por este banco de dados, esperamos que ele seja um recurso valioso para o avanço da ecologia funcional comparativa e para orientar a restauração baseada em sementes e a conservação da biodiversidade em ecossistemas tropicais megadiversos. Não há restrições de direitos autorais sobre os dados; favor citar este artigo ao utilizar os dados nas publicações e os autores agradeceriam uma notificação de como os dados são utilizados nas publicações.

El avance de la ecología funcional depende fundamentalmente de la disponibilidad de datos sobre rasgos reproductivos-incluyendo los de las plantas tropicales-los cuales han estado poco representados en las bases de datos globales de rasgos. Aunque recientemente se han creado algunas bases de datos valiosas, estas se encuentran restringidas principalmente a las zonas templadas y a los rasgos vegetativos, como los de las hojas y la madera. En este artículo presentamos Rock n' Seeds, una base de datos de rasgos funcionales de semillas y experimentos de germinación de la vegetación asociada a afloramientos rocosos de Brasil, los cuales son destacados centros de diversidad y endemismo. Los datos se recopilaron mediante una búsqueda bibliográfica sistemática, que dio como resultado 103 publicaciones de las que se extrajeron los rasgos funcionales de las semillas. La base de datos incluye información de dieciséis rasgos funcionales para 383 taxones de 148 géneros, 50 familias y 25 órdenes. Estos rasgos incluyen dos rasgos de dispersión, seis de producción, cuatro morfológicos, dos biofísicos y dos de germinación; siendo estos los principales ejes del espectro ecológico de las semillas. La base de datos también proporciona los datos brutos de 48 experimentos de germinación, para un total de 10.187 registros de 281 taxones. Dichos experimentos de germinación evaluaron el efecto de una amplia gama de factores abióticos y bióticos sobre la germinación y de diferentes tratamientos para romper la dormancia. En particular, 8.255 de estos registros cuentan con conteos diarios de germinación. Esto facilitará la síntesis de los datos de germinación y el uso de esta base de datos para una gran diversidad de preguntas ecológicas. Dada la variedad de rasgos de las semillas y la amplia información sobre germinación que ofrece esta base de datos, esperamos que sea un recurso valioso para el avance de la ecología funcional comparativa y para orientar la restauración basada en semillas y la conservación de la biodiversidad en ecosistemas tropicales megadiversos. No hay restricciones de derechos de autor sobre los datos; se solicita citar este documento cuando se utilicen los datos en publicaciones y los autores agradecerán ser notificados sobre cómo se utilizan los datos en las publicaciones.

Laparoscopic removal of bilateral uterine remnants for symptomatic unilateral leiomyomas in a patient with Müllerian agenesis.

OBJECTIVE: To our knowledge, we present the first video demonstration of the laparoscopic removal of bilateral uterine remnants for symptomatic unilateral leiomyomas in a patient with Müllerian agenesis. DESIGN: A video case report. SETTING: An academic medical center. PATIENT: A 44-year-old woman, gravida 0, with a history of Müllerian agenesis with presumed single uterine remnant who presented with worsening lower abdominal fullness and discomfort in the setting of known leiomyomas. Magnetic resonance imaging of the pelvis revealed a single rudimentary uterine remnant with 3 dominant leiomyomas, with the largest measuring 5.8 × 5.3 × 5.2 cm. After extensive counseling, she opted for definitive surgical management. She provided written consent for video recording and publication of this surgical case. INTERVENTION(S): Laparoscopic removal of bilateral uterine remnants, bilateral salpingectomy, and cystoscopy. MAIN OUTCOME MEASURE(S): Laparoscopic removal of bilateral uterine remnants with multiple unilateral leiomyomas, leading to resolution of lower abdominal bulk symptoms. RESULT(S): Diagnostic laparoscopy revealed a right 12-cm pelvic mass consisting of a uterine remnant with 3 dominant leiomyomas, left 2-cm rudimentary uterine remnant, bilateral atrophic fallopian tubes, bilateral normal ovaries, and absent cervix and upper vagina. Procedure was uncomplicated with an estimated blood loss of 25 mL. Patient was discharged on the same day of surgery after meeting required milestones. Pathologic examination of the specimens was consistent with intraoperative findings. CONCLUSION(S): Müllerian agenesis is a rare congenital anomaly of the female reproductive tract in which uterine remnants may be found. Leiomyoma formation in uterine remnants is rare but possible. Magnetic resonance imaging is the most sensitive imaging modality for uterine remnants but not always accurate. When leiomyomas become symptomatic, surgery is the only definitive management option with laparoscopy as the standard of care when possible. Minor changes to the minimally invasive approach may be necessary to accommodate for anatomical differences.

Fifteen years of autologous oocyte thaw outcomes from a large university-based fertility center.

OBJECTIVE: To review the outcomes of patients who underwent autologous oocyte thaw after planned oocyte cryopreservation. DESIGN: Retrospective cohort study. SETTING: Large urban university-affiliated fertility center. PATIENT(S): All patients who underwent ≥1 autologous oocyte thaw before December 31, 2020. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): The primary outcome was the final live birth rate (FLBR) per patient, and only patients who had a live birth (LB) or consumed all remaining inventory (cryopreserved oocytes and resultant euploid/untested/no result embryos) were included. The secondary outcomes were laboratory outcomes and LB rates per transfer. RESULT(S): A total of 543 patients underwent 800 oocyte cryopreservations, 605 thaws, and 436 transfers. The median age at the first cryopreservation was 38.3 years. The median time between the first cryopreservation and thaw was 4.2 years. The median numbers of oocytes and metaphase II oocytes (M2s) thawed per patient were 14 and 12, respectively. Overall survival of all thawed oocytes was 79%. Of all patients, 61% underwent ≥1 transfer. Among euploid (n = 262) and nonbiopsied (n = 158) transfers, the LB rates per transfer were 55% and 31%, respectively. The FLBR per patient was 39%. Age at cryopreservation and the number of M2s thawed were predictive of LB; the FLBR per patient was >50% for patients aged <38 years at cryopreservation or who thawed ≥20 M2s. A total of 173 patients (32%) have remaining inventory. CONCLUSION(S): Autologous oocyte thaw resulted in a 39% FLBR per patient, which is comparable with age-matched in vitro fertilization outcomes. Studies with larger cohorts are necessary.

Risky decision-making strategies mediate the relationship between amygdala activity and real-world financial savings among individuals from lower income households: A pilot study.

Lower financial savings among individuals experiencing adverse social determinants of health (SDoH) increases vulnerabilities during times of crisis. SDoH including low socioeconomic status (low-SES) influence cognitive abilities as well as health and life outcomes that may perpetuate poverty and disparities. Despite evidence suggesting a role for financial growth in minimizing SDoH-related disparities and vulnerabilities, neurobiological mechanisms linked with financial behavior remain to be elucidated. As such, we examined the relationships between brain activity during decision-making (DM), laboratory-based task performance, and money savings behavior. Participants (N = 24, 14 females) from low-SES households (income<$20,000/year) underwent fMRI scanning while performing the Balloon Analogue Risk Task (BART), a DM paradigm probing risky- and strategic-DM processes. Participants also completed self-report instruments characterizing relevant personality characteristics and then engaged in a community outreach financial program where amount of money saved was tracked over a 6-month period. Regarding BART-related brain activity, we observed expected activity in regions implicated in reward and emotional processing including the amygdala. Regarding brain-behavior relationships, we found that laboratory-based BART performance mediated the impact of amygdala activity on real-world behavior. That is, elevated amygdala activity was linked with BART strategic-DM which, in turn, was linked with more money saved after 6 months. In exploratory analyses, this mediation was moderated by emotion-related personality characteristics such that, only individuals reporting lower alexithymia demonstrated a relationship between amygdala activity and savings. These outcomes suggest that DM-related amygdala activity and/or emotion-related personality characteristics may provide utility as an endophenotypic marker of individual's financial savings behavior.

Advanced Diffusion MRI of the Visual System in Glaucoma: From Experimental Animal Models to Humans.

Glaucoma is a group of ophthalmologic conditions characterized by progressive retinal ganglion cell death, optic nerve degeneration, and irreversible vision loss. While intraocular pressure is the only clinically modifiable risk factor, glaucoma may continue to progress at controlled intraocular pressure, indicating other major factors in contributing to the disease mechanisms. Recent studies demonstrated the feasibility of advanced diffusion magnetic resonance imaging (dMRI) in visualizing the microstructural integrity of the visual system, opening new possibilities for non-invasive characterization of glaucomatous brain changes for guiding earlier and targeted intervention besides intraocular pressure lowering. In this review, we discuss dMRI methods currently used in visual system investigations, focusing on the eye, optic nerve, optic tract, subcortical visual brain nuclei, optic radiations, and visual cortex. We evaluate how conventional diffusion tensor imaging, higher-order diffusion kurtosis imaging, and other extended dMRI techniques can assess the neuronal and glial integrity of the visual system in both humans and experimental animal models of glaucoma, among other optic neuropathies or neurodegenerative diseases. We also compare the pros and cons of these methods against other imaging modalities. A growing body of dMRI research indicates that this modality holds promise in characterizing early glaucomatous changes in the visual system, determining the disease severity, and identifying potential neurotherapeutic targets, offering more options to slow glaucoma progression and to reduce the prevalence of this world's leading cause of irreversible but preventable blindness.

Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter?

One realm of AI, recommender systems have attracted significant research attention due to concerns about its devastating effects to society's most vulnerable and marginalised communities. Both media press and academic literature provide compelling evidence that AI-based recommendations help to perpetuate and exacerbate racial and gender biases. Yet, there is limited knowledge about the extent to which individuals might question AI-based recommendations when perceived as biased. To address this gap in knowledge, we investigate the effects of espoused national cultural values on AI questionability, by examining how individuals might question AI-based recommendations due to perceived racial or gender bias. Data collected from 387 survey respondents in the United States indicate that individuals with espoused national cultural values associated to collectivism, masculinity and uncertainty avoidance are more likely to question biased AI-based recommendations. This study advances understanding of how cultural values affect AI questionability due to perceived bias and it contributes to current academic discourse about the need to hold AI accountable.

Clinical course, biomarkers, management and outcomes of patients hospitalised due to COVID-19 in Colombia / Curso clínico, biomarcadores, manejo y desenlaces de pacientes hospitalizados por COVID-19 en Colombia

Abstract Objective: To analyse the clinic characteristics, risk factors and evolution of the first cohort of hospitalised patients with confirmed infection by COVID-19 in 5 Colombian institutions. Materials and methods: Is a retrospective observational study of consecutive hospitalized patients with a diagnosis of COVID-19 confirmed from March 01 to May 30, 2020 in Colombia. Results: A total of 44 patients were included. The median age was 62 years. 43.2% had a history of smoking, while 69.8% were overweight or obese. 88.6% had at least one comorbidity and 52.3% had three or more comorbidities. Hypertension and dyslipidaemia were the most frequent comorbidities (40.9% and 34.1%, respectively). The 30-day mortality rate was 47.7% with a median of 11 days. The composite outcome occurred in the 36.4%. The biomarkers associated with mor tality risk included troponin higher than 14 ng/L (RR: 5.25; 95% CI 1.37-20.1, p = 0.004) and D-dimer higher than 1000 ng/ml (RR: 3.0; 95% CI 1.4-6.3, p = 0.008). Conclusions: The clinical course of SARS-CoV-2 infection in hospitalized Colombian was characterised by a more advanced stage of the infection.

Resumen Objetivo: Analizar las características, clínicas, factores de riesgo, y la evolución de pacientes hospitalizados con infección confirmada por COVID-19 en 5 Institu ciones de Colombia. Material y método: Es un estudio observacional retrospectivo de pacientes consecutivos hospitalizados con diagnóstico de COVID-19 confirmado entre 01 de Febrero de 2020 y 30 de Mayo de 2020 en Colombia. Resultados: Un total de 44 pacientes fueron incluidos. La mediana de edad fue de 62 años y la mayoría del sexo masculino. El 43.2% tenían historia de tabaquismo, mientras que el 69.8% tenían sobrepeso u obesidad. El 88.6% tenían al menos una comorbilidad y el 52.3% tenían tres o más comorbilidades. La hipertensión arterial fue la comorbilidad más frecuente (40.9%), seguido de la dislipidemia (34.1%). La tasa de letalidad a 30 días fue de 47.7% y ocurrió con una mediana de 11 días. El 36.4% presentó el desenlace compuesto. Los biomarcadores asociados con el riesgo de muerte fue troponina > 14 ng/mL (RR:5.25, IC95% 1.37-20.1, p=0.004) y dímero D mayor a 1000 mg/dL (RR: 3.0, IC95% 1.4-6.3, p=0.008). Conclusiones: El curso clínico de la infección por SARS-CoV-2 en colombianos hospitalizados fue un estadio más avanzado de la infección.

Hospitalización domiciliaria en niños y adolescentes con necesidades especiales de atención en salud (NANEAS): perspectivas financieras en hospital de alta complejidad, Chile / Home hospitalization in children and youth with special health care needs (cyshcn): financial perspectives in hospital de alta complexidad, Chile

Introducción. La ausencia de hospitalización domiciliaria (HD) de niños y adolescentes con necesidades especiales en salud de alta complejidad (NANEAS) genera hospitalizaciones prolongadas en la atención cerrada (AC). Objetivo: Comparar el gasto estimado de HD de NANEAS de alta complejidad versus costo real del mismo paciente en AC y su impacto en la producción hospitalaria. Métodos: Estudio descriptivo y comparativo entre costos de ambas modalidades de hospitalización de NANEAS de alta complejidad. De enero a diciembre 2016 se registraron hospitalizaciones NANEAS no oncológicos del Servicio de Pediatría (SP) según norma del Ministerio de Salud-Chile (MINSAL). Se clasificó para grupos clínicos y consumos similares de recursos según grupos relacionados al diagnóstico (GRD). Para evaluar el impacto en la producción hospitalaria la estancia fue ajustada y se realizó un análisis financiero de ambas modalidades (AC) y (HD). Resultados: De 3690 egresos, 126 (3,4%) se relacionaron a 27 NANEAS, la edad promedio fue 4,6 años (± 5 DS) con dependencias tecnológicas para vivir. La estancia media NANEAS fue 16 días, comparada con 5,9 de los pacientes sin necesidades especiales en salud. Las estancias NANEAS llegaron a 2017 días (8,6%). Prescindir de los egresos NANEAS hubiera aportado 320 egresos adicionales y su HD habría ahorrado US $15/día por paciente, que para el total de estancias consumidas habría sido un ahorro anual de US $ 29 170. Conclusiones: La HD tiene un costo estimado menor a la AC de NANEAS de alta complejidad, mejora la productividad hospitalaria y libera camas críticas con inversión financieramente viable.

Introduction. The absence of home hospitalization (HH) of children and youth with special health care needs (CYSHCN) generates prolonged hospitalizations in closed care (CC). Objective: To compare the estimated cost of HH of high complexity CYSHCN versus the actual cost of the same patient in CC and its impact on hospital production. Methods: Descriptive and comparative study between costs of both hospitalization modalities of high complexity CYSHCN. From January to December 2016, non-oncological CYSHCN hospitalizations were registered by the Pediatric Service (PS) according to the Ministry of Health-Chile (MINSAL) norm. It was classified for clinical groups and similar consumption of resources according to groups related to diagnosis (DRG). The stay was adjusted, and financial analysis of both modalities (CC) and (HH) was performed to evaluate the impact on hospital production. Results: Of 3690 discharges, 126 (3.4%) were related to 27 CYSHCN, the average age was 4.6 years (± 5 SD) with technological dependencies to live. The mean CYSHCN stay was 16 days, compared with 5.9 for patients without special health needs. CYSHCN stays reached 2017 days (8.6%). Disregarding the CYSHCN discharges would have contributed 320 additional discharges, and his HH would have saved US $ 15 / day per patient, which for the total number of stays consumed would have been an annual saving of US $ 29170. Conclusion: HH has an estimated cost lower than the CA of high complexity CYSHCN, improves hospital productivity, and frees critical beds with financially viable investment.