Differential Impact of Emotional and Contextual Factors Associated with COVID-19 on Adolescent Mental Health.

Background: During the confinement, there was an increase in the incidence of mental disorders such as depression and anxiety. In this regard, affectivity is of particular interest, as emotions play a fundamental role in overall mental health. The literature on COVID-19 in this population has often focused on the analysis of risk factors for mental health, while less attention has been paid to protective factors. In this paper, we propose an inclusive model of risk and protective factors for adolescent mental health through the indirect effect of negative and positive affect. Methods: This was a cross-sectional study with a Spanish community sample of 477 adolescents (Mage = 16.23, range:14 to 20 years old; 43.4% were boys; response rate: 100%). We measured the perceived hardness of confinement, worrying about contagion, quality of relationships at home, pleasant activities, affect (positive and negative), and mental health. Results: The results revealed a positive relationship between the perceived hardness of confinement and worrying about contagion with mental health, through the indirect effect of negative affect, and a positive relationship between home relationships and pleasant activities with mental health through an indirect effect of positive affect. Conclusion: Our results suggest that different types of emotions generated by the various contextual variables associated with COVID-19 may have a differential impact on mental health. These findings support the inclusive model of risk and protective factors for adolescent mental health. Practical implications, future studies, and limitations are discussed.

Spanish adaptation and validation of the Dula Dangerous Driving Index (DDDI).

The Dula Dangerous Driving Index (DDDI) is a widely used questionnaire that measures the tendency to drive dangerously on the road through three different types of behaviors: aggressive driving, risky driving, and experiencing negative emotions while driving. This study aimed to develop a Spanish version of the DDDI and verify the reliability and validity of this questionnaire in the Spanish population. A community sample of 2174 Spanish participants (51.1% male; age range: 18-79 years) completed the 28-item Spanish version of the DDDI. Confirmatory factor analysis revealed that a three-factor model fitted adequately to the data. Analysis of internal consistency, test-retest reliability, and convergent validity showed that the Spanish adaptation of the DDDI had good psychometric properties and retains the theoretical consistency of the original scale. Gender and age differences were observed. The Spanish version of the DDDI can be considered a good instrument for assessing dangerous driving behavior, thus contributing to the cross-cultural study of these types of behaviors and the possible development of intervention programs aimed at reducing road traffic accidents.

Impulsivity and sensitivity to reward as mediating factors of the negative relationship between emotional intelligence and health-related risk-taking: evidence from a sample of university students.

BACKGROUND: Better abilities in emotional intelligence (EI) have been linked to a decreased tendency to engage in health-related risk behaviour. However, the processes underlying this relationship are still unclear. The aim of this research was to examine the role of impulsivity and sensitivity to reward as mediating factors in the relationship between EI and health risk-taking. METHODS: Two hundred and fifty participants (Mage = 23.60, age range = 18-59; SD = 6.67; 71.60% women) were assessed on ability EI levels, risk-taking in health contexts, impulsivity, and sensitivity to reward. Unlike previous studies in the literature, we employed a performance-based ability measure to assess EI (Mayer-Salovey-Caruso Emotional Intelligence Test, MSCEIT). RESULTS: The results confirmed the negative relationship between EI and health risk-taking and revealed the existence of a significant negative indirect effect of EI on health-risk taking through various dimensions of impulsivity and sensitivity to reward. EI abilities -particularly the ability to manage emotions- were associated with lower levels of impulsivity under positive and negative emotional states, a better management of the tendency towards sensation seeking, and a decreased emotional reactivity to rewards. CONCLUSIONS: The present research provides a better understanding of the processes underlying the negative relationship between EI and health risk-taking. Our findings suggest that having higher levels of EI abilities would allow for a more objective evaluation of risk scenarios and a more appropriate and safer decision making through its influence on the levels of impulsivity and emotional reactivity to rewards. Practical implications, limitations, and future lines of research are discussed.

Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.

This article introduces a systematic review on arousal classification based on electrodermal activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six scientific databases, fifty-nine were finally selected according to various criteria established. The systematic review has made it possible to analyse all the steps to which the EDA signals are subjected: acquisition, pre-processing, processing and feature extraction. Finally, all ML techniques applied to the features of these signals for arousal classification have been studied. It has been found that support vector machines and artificial neural networks stand out within the supervised learning methods given their high-performance values. In contrast, it has been shown that unsupervised learning is not present in the detection of arousal through EDA. This systematic review concludes that the use of EDA for the detection of arousal is widely spread, with particularly good results in classification with the ML methods found.

The relationship between self-reported ability emotional intelligence and risky driving behaviour: Consequences for accident and traffic ticket rate.

Road safety represents one of the main public health issues worldwide, and risky driving behaviour is one of the most predominant factors in traffic road accidents. The primary objective of this research was to clarify the relationship between emotional intelligence (EI) abilities and the probability of engaging in risky behaviour during driving. Previous literature linking these constructs is limited, and research has yielded mixed findings. In the present study, 555 drivers from a Spanish community sample (Mage = 39.34, ranging from 18 to 79 years old; 49.19% women) were assessed on risky driving behaviour using the Dula Dangerous Driving Index while self-reported ability EI was measured using the Wong and Law Emotional Intelligence Scale. Gender, age, and driving experience were controlled. The results of this study revealed that a higher self-reported ability EI, particularly the ability to regulate emotions, was related to a lower tendency to engage in risky driving behaviours. In turn, self-reported ability EI was negatively and indirectly related to the number of road accidents and traffic tickets through the mediating effect of risky driving. The regulation of emotions (via direct and indirect effect) and the appraisal of the emotions of others (via direct effect) were the EI abilities that better predicted the number of accidents and traffic tickets. We discuss the practical implications of these findings, along with suggested future lines of research.

Emotional Intelligence and Risk Behaviour: A Risk Domain-Dependent Relationship.

BACKGROUND: It is widely accepted that emotions exert a strong influence on risk decision-making. Despite this, the literature studying the role of emotional intelligence (EI) on the tendency to engage in risky behaviour is scarce, and the results appear to be inconclusive. The present study delves into the relationship between EI and risk behaviour through various risk contexts (Ethical, Health, Financial, Social, and Recreational domains). We also examined whether this relationship is age and gender-dependent. METHOD: A Spanish sample of 1435 participants (Mage = 29.84, from 18 to 70; 61.9% women) was assessed for levels of EI and risk-taking by the TMMS and DOSPERT scales. RESULTS: The results revealed that EI was negatively related to risk behaviour in the Ethical and Health domains and positively related to the Social and Recreational domains. Moreover, we confirmed the influence of gender and age on both EI and risk behaviour. CONCLUSIONS: EI is differentially related to risk behaviour depending on the risk domain studied, supporting the idea that risk is a domain-specific construct. We suggest that higher levels of EI could be adaptive for risk behaviour regardless of the direction of the relationship. Practical implications and future lines of research are discussed.

Evidence on the Relationship Between Emotional Intelligence and Risk Behavior: A Systematic and Meta-Analytic Review.

The aim of the present study was to carry out a qualitative and quantitative synthesis of the existing literature studying the relationship between emotional intelligence and risk behavior. We conducted a systematic review and meta-analysis of the scientific evidence available relating both constructs. Particular attention was paid to identifying possible differences in this relationship as a function of the different conceptualizations of EI and the risk domain. The study was conducted following the Cochrane and PRISMA guidelines. Our results revealed a significant negative relationship between EI and health-related risk behaviors. However, this relationship was not observed in other risk domains such as finance and gambling. The relationship between EI and risk behavior differed according to the risk domain studied, which supports the notion that risk is a domain-specific construct. The results associated with the health-related risk behaviors are consistent with existing literature about the positive impact of emotional abilities on the health domain. A more complete understanding of the emotional mechanisms that underlie risk behavior could help to establish action guidelines and improve programmes to prevent and reduce the negative effects of risk behavior on our society.

Emotional Intelligence and Risk Behaviour: A Risk Domain-Dependent Relationship / Inteligencia Emocional y Comportamiento de Riesgo: una Relación Dependiente del Dominio de Riesgo

Background: It is widely accepted that emotions exert a strong influence on risk decision-making. Despite this, the literature studying the role of emotional intelligence (EI) on the tendency to engage in risky behaviour is scarce, and the results appear to be inconclusive. The present study delves into the relationship between EI and risk behaviour through various risk contexts (Ethical, Health, Financial, Social, and Recreational domains). We also examined whether this relationship is age and gender-dependent. Method: A Spanish sample of 1435 participants (Mage = 29.84, from 18 to 70; 61.9% women) was assessed for levels of EI and risk-taking by the TMMS and DOSPERT scales. Results: The results revealed that EI was negatively related to risk behaviour in the Ethical and Health domains and positively related to the Social and Recreational domains. Moreover, we confirmed the influence of gender and age on both EI and risk behaviour. Conclusions: EI is differentially related to risk behaviour depending on the risk domain studied, supporting the idea that risk is a domain-specific construct. We suggest that higher levels of EI could be adaptive for risk behaviour regardless of the direction of the relationship. Practical implications and future lines of research are discussed.(AU)

Antecedentes: Las emociones ejercen una fuerte influencia en la toma de riesgos. Sin embargo, la literatura que estudia el rol de la inteligencia emocional (IE) en la tendencia a comprometerse con el riesgo es escasa e inconcluyente. Este trabajo profundiza en la relación entre la IE y el comportamiento de riesgo en diferentes contextos (Ético, Financiero, Salud, Social y Recreativo). Además, examinamos si estas relaciones dependen de la edad y del género. Método: Una muestra española de 1435 participantes (Medad = 29.84, entre 18 y 70 años; 61.9% mujeres) fue evaluada con las escalas TMMS y DOSPERT. Resultados: La IE se relacionó negativamente con el comportamiento de riesgo en los dominios Ético y de Salud y positivamente en los dominios Social y Recreativo. Además, la influencia del género y la edad sobre los niveles de IE y comportamiento de riesgo fue confirmada. Conclusiones: La relación entre la IE y el comportamiento de riesgo depende del contexto de riesgo, apoyando la idea de que el riesgo es un constructo específico de dominio. Sugerimos que niveles altos de IE podrían ser adaptativos independientemente del dominio de riesgo. Implicaciones prácticas y futuras líneas de investigación son discutidas.(AU)

Psychopathic traits and ability emotional intelligence in incarcerated males / Los rasgos psicopáticos y la inteligencia emocional como habilidad en hombres encarcelados

Recent years have seen a growing interest in studying the factors that could help reduce the negative consequences of psychopathic traits, such as violence or criminal acts, given the effect these have on our society. This study aims to investigate the relationship between ability emotional intelligence (EI) and psychopathic traits in a sample of incarcerated men. In total, 63 incarcerated adult males (Mage = 37.51) completed the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) and the 34-item Self-Report Psychopathy Scale-III (SRP-III). Comparisons using t-tests revealed that our sample showed significantly higher psychopathic traits and lower ability EI in comparison with nonincarcerated samples. Correlation analysis revealed a negative relationship between EI total score and the callous affect sub-dimension of psychopathy. Moreover, mediation analyses supported the existence of an indirect effect of EI total score on the psychopathy sub-dimensions of erratic lifestyle, criminal tendencies and interpersonal manipulation through the mediation effect of callous affect. These findings could help to inform the design of prevention and intervention programs implemented in penitentiary centers, which could have important implications for reducing antisocial and disruptive behaviours and improving possible future reintegration into society. (AU)

En los últimos años se ha observado un creciente interés por estudiar los factores que podrían ayudar a reducir las consecuencias negativas asociadas a los rasgos psicopáticos, como la violencia o los actos delictivos, dado el efecto que tienen en nuestra sociedad. Este estudio tiene como objetivo investigar la relación entre la inteligencia emocional (IE) como habilidad y los rasgos psicopáticos en una muestra de hombres encarcelados. En total, 63 varones adultos encarcelados (Medad = 37,51) completaron la Prueba de Inteligencia Emocional de Mayer-Salovey-Caruso (MSCEIT) y la Escala de Psicopatía autoinformada-III de 34 ítems (SRP-III). Los análisis comparativos utilizando pruebas t revelaron que nuestra muestra de hombres encarcelados mostraba niveles de rasgos psicopáticos significativamente más altos y una menor IE en comparación con otras muestras de hombres no encarcelados. Los análisis de correlación mostraron una relación negativa entre la puntuación total de IE y la sub-dimensión de afecto insensible de la psicopatía. Además, los análisis de mediación avalan la existencia de un efecto indirecto de la puntuación total de IE sobre las subdimensiones de psicopatía del estilo de vida errático, las tendencias delictivas y la manipulación interpersonal a través del efecto mediador del afecto insensible. Estos resultados pueden ser de interés para el diseño de los programas de prevención e intervención implementados en los centros penitenciarios, pudiendo tener importantes implicaciones en la reducción de las conductas antisociales y problemáticas y mejorar la futura reintegración de la población presidiaria en la sociedad. (AU)

Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity.

Early detection of stress condition is beneficial to prevent long-term mental illness like depression and anxiety. This paper introduces an accurate identification of stress/calm condition from electrodermal activity (EDA) signals. The acquisition of EDA signals from a commercial wearable as well as their storage and processing are presented. Several time-domain, frequency-domain and morphological features are extracted over the skin conductance response of the EDA signals. Afterwards, a classification is undergone by using several classical support vector machines (SVMs) and deep support vector machines (D-SVMs). In addition, several binary classifiers are also compared with SVMs in the stress/calm identification task. Moreover, a series of video clips evoking calm and stress conditions have been viewed by 147 volunteers in order to validate the classification results. The highest F1-score obtained for SVMs and D-SVMs are 83% and 92%, respectively. These results demonstrate that not only classical SVMs are appropriate for classification of biomarker signals, but D-SVMs are very competitive in comparison to other classification techniques. In addition, the results have enabled drawing useful considerations for the future use of SVMs and D-SVMs in the specific case of stress/calm identification.

Correction to: Molecular characterization of the Taenia solium Tso31 antigen and homologous of other Taenia species from Peru.

The original version of this article contained a mistake.

Molecular characterization of the Taenia solium Tso31 antigen and homologous of other Taenia species from Peru.

Several studies have been performed to determine specific antigens for the diagnosis of tapeworms. One of these antigens is Tso31, which is used to differentiate Taenia solium and Taenia saginata in human feces. The aim of the present work was the molecular characterization of this protein in different tapeworm specimens collected in Peru: T. omisa (n = 6), T. hydatigena (n = 7), T. taeniaeformis (n = 4), T. pisiformes (n = 1), T. multiceps (n = 7), and T. solium (n = 10). Total DNA was extracted from each proglottid using a commercial DNA kit for tissue. A nested PCR was used to amplify a fragment of the previously described oncosphere-specific protein Tso31 gene. The nested PCR products were analyzed by 1.5% agarose gel electrophoresis and visualized after ethidium bromide staining. All nested PCR-positive products were sequenced and their sequences were compared. Of all the tapeworms analyzed, only T. solium and T. multiceps amplified the Tso31 gene. All sequences were identical for each species. Our T. solium Tso31 showed 100% similarity when compared with published GenBank sequences. The difference between T. solium and T. multiceps Tso31 samples was 8.1%. In conclusion, our results show that the tsol31 gene is not exclusive to T. solium.

Perinatal free-choice of a high-calorie low-protein diet affects leptin signaling through IRS1 and AMPK dephosphorylation in the hypothalami of female rat offspring in adulthood.

AIM: We aimed to investigate whether a dysregulated maternal diet during gestation and lactation induces long-lasting changes in the hypothalamic control of feeding behavior in the offspring and whether this effect is sex specific. METHODS: The study included an analysis of appetite-regulating metabolic hormones and hypothalamic signaling in male and female offspring in adulthood after exposure to a free-choice high-calorie palatable low-protein (P) diet or standard chow (C) during (pre)gestation/lactation (maternal) and/or postweaning (offspring). RESULTS: Maternal exposure to the P diet resulted in decreased protein intake and body weight gain in dams and decreased body weight gain in offspring during lactation. The maternal P diet (PC) specifically increased feed efficacy and decreased body weight and cholesterol levels in the female offspring in adulthood, but no changes in adiposity or leptin levels were found. In contrast, P diet exposure after weaning (CP and PP) increased caloric intake, adiposity and circulating levels of leptin in the male and female offspring in adulthood. The hypothalami of the female offspring exposed to the maternal P diet (PC and PP) expressed high levels of the phospho-leptin receptor and low levels of SOCS3, phospho-IRS1 and phospho-AMPK, regardless of the postweaning diet. The hypothalami of the female rats in the PC group also showed increased levels of STAT3 and the orexigenic neuropeptide Agrp. CONCLUSIONS: Maternal exposure to a free-choice high-calorie low-protein diet induces a long-term feed efficacy associated with changes in leptin signaling through IRS-1 and AMPK dephosphorylation in the hypothalami of female offspring in adulthood.

A Finite State Machine Approach to Algorithmic Lateral Inhibition for Real-Time Motion Detection †.

Many researchers have explored the relationship between recurrent neural networks and finite state machines. Finite state machines constitute the best-characterized computational model, whereas artificial neural networks have become a very successful tool for modeling and problem solving. The neurally-inspired lateral inhibition method, and its application to motion detection tasks, have been successfully implemented in recent years. In this paper, control knowledge of the algorithmic lateral inhibition (ALI) method is described and applied by means of finite state machines, in which the state space is constituted from the set of distinguishable cases of accumulated charge in a local memory. The article describes an ALI implementation for a motion detection task. For the implementation, we have chosen to use one of the members of the 16-nm Kintex UltraScale+ family of Xilinx FPGAs. FPGAs provide the necessary accuracy, resolution, and precision to run neural algorithms alongside current sensor technologies. The results offered in this paper demonstrate that this implementation provides accurate object tracking performance on several datasets, obtaining a high F-score value (0.86) for the most complex sequence used. Moreover, it outperforms implementations of a complete ALI algorithm and a simplified version of the ALI algorithm—named “accumulative computation”—which was run about ten years ago, now reaching real-time processing times that were simply not achievable at that time for ALI.

Electrodermal Activity Sensor for Classification of Calm/Distress Condition.

This article introduces a new and unobtrusive wearable monitoring device based on electrodermal activity (EDA) to be used in health-related computing systems. This paper introduces the description of the wearable device capable of acquiring the EDA of a subject in order to detect his/her calm/distress condition from the acquired physiological signals. The lightweight wearable device is placed in the wrist of the subject to allow continuous physiological measurements. With the aim of validating the correct operation of the wearable EDA device, pictures from the International Affective Picture System are used in a control experiment involving fifty participants. The collected signals are processed, features are extracted and a statistical analysis is performed on the calm/distress condition classification. The results show that the wearable device solely based on EDA signal processing reports around 89% accuracy when distinguishing calm condition from distress condition.

Transposition with atypical coronary pattern: the Aubert technique.

The arterial switch operation is currently the gold standard technique for repair of transposition of the great arteries. Some atypical coronary patterns such as intramural, interarterial, and a unique posterior button are associated with more complexity and surgical risk. We report a successful Aubert operation for transposition of the great arteries associated with a single and interarterial coronary artery arising from a posterior sinus.

Exercise Intensity and Incidence of Metabolic Syndrome: The SUN Project.

INTRODUCTION: Emerging evidence suggests that vigorous physical activity may be associated with higher cardioprotective benefits than moderate physical activity. This study aimed to assess the long-term relationship between the intensity of leisure time physical activity (LTPA) and the risk of developing metabolic syndrome (MS) in a prospective cohort study. METHODS: The Seguimiento Universidad de Navarra (SUN) Project comprises Spanish university graduates. Participants (n=10,145) initially free of MS were followed for a minimum of 6 years (2008-2014). Analysis was conducted in 2015. Physical activity was assessed though a validated questionnaire. The intensity of each physical activity was measured in METs. The intensity of LTPA was estimated by the ratio between total METs/week and total hours of LTPA/week, obtaining the mean METs/hour of LTPA. MS was defined according to the harmonizing definition. The association between the intensity of LTPA (METs/hour) and MS was assessed with logistic regression models adjusting for potential confounders. RESULTS: Among 10,145 participants initially free of any MS criteria, 412 new MS cases were observed. Vigorous LTPA was associated with a 37% relatively lower risk (AOR=0.63, 95% CI=0.44, 0.89) compared with light LTPA. For a given total energy expenditure, independent of the time spent on it, participants who performed vigorous LTPA exhibited a higher reduction in the risk of MS than those who performed light to moderate LTPA. CONCLUSIONS: Vigorous LTPA was significantly associated with lower risk of developing MS after a 6-year follow-up period.

Smart environment architecture for emotion detection and regulation.

This paper introduces an architecture as a proof-of-concept for emotion detection and regulation in smart health environments. The aim of the proposal is to detect the patient's emotional state by analysing his/her physiological signals, facial expression and behaviour. Then, the system provides the best-tailored actions in the environment to regulate these emotions towards a positive mood when possible. The current state-of-the-art in emotion regulation through music and colour/light is implemented with the final goal of enhancing the quality of life and care of the subject. The paper describes the three main parts of the architecture, namely "Emotion Detection", "Emotion Regulation" and "Emotion Feedback Control". "Emotion Detection" works with the data captured from the patient, whereas "Emotion Regulation" offers him/her different musical pieces and colour/light settings. "Emotion Feedback Control" performs as a feedback control loop to assess the effect of emotion regulation over emotion detection. We are currently testing the overall architecture and the intervention in real environments to achieve our final goal.

Long-Term Effects of Prenatal Exposure to Undernutrition on Cannabinoid Receptor-Related Behaviors: Sex and Tissue-Specific Alterations in the mRNA Expression of Cannabinoid Receptors and Lipid Metabolic Regulators.

Maternal malnutrition causes long-lasting alterations in feeding behavior and energy homeostasis in offspring. It is still unknown whether both, the endocannabinoid (eCB) machinery and the lipid metabolism are implicated in long-term adaptive responses to fetal reprogramming caused by maternal undernutrition. We investigated the long-term effects of maternal exposure to a 20% standard diet restriction during preconceptional and gestational periods on the metabolically-relevant tissues hypothalamus, liver, and perirenal fat (PAT) of male and female offspring at adulthood. The adult male offspring from calorie-restricted dams (RC males) exhibited a differential response to the CB1 antagonist AM251 in a chocolate preference test as well as increased body weight, perirenal adiposity, and plasma levels of triglycerides, LDL, VLDL, bilirubin, and leptin. The gene expression of the cannabinoid receptors Cnr1 and Cnr2 was increased in RC male hypothalamus, but a down-expression of most eCBs-metabolizing enzymes (Faah, Daglα, Daglß, Mgll) and several key regulators of fatty-acid ß-oxidation (Cpt1b, Acox1), mitochondrial respiration (Cox4i1), and lipid flux (Pparγ) was found in their PAT. The female offspring from calorie-restricted dams exhibited higher plasma levels of LDL and glucose as well as a reduction in chocolate and caloric intake at post-weaning periods in the feeding tests. Their liver showed a decreased gene expression of Cnr1, Pparα, Pparγ, the eCBs-degrading enzymes Faah and Mgll, the de novo lipogenic enzymes Acaca and Fasn, and the liver-specific cholesterol biosynthesis regulators Insig1 and Hmgcr. Our results suggest that the long-lasting adaptive responses to maternal caloric restriction affected cannabinoid-regulated mechanisms involved in feeding behavior, adipose ß-oxidation, and hepatic lipid and cholesterol biosynthesis in a sex-dependent manner.

Infrautilización de la anticoagulación oral en el paciente octogenario con fibrilación auricular: perspectiva desde la práctica clínica real / Underuse of oral anticoagulation in octogenarian patient with atrial fibrillation: a perspective from real clinical practice

Introducción y objetivos: La fibrilación auricular es la arritmia más frecuente en los pacientes ancianos. La decisión de la anticoagulación en este grupo puede ser difícil. Quisimos estudiar el manejo de la anticoagulación oral en pacientes muy mayores con fibrilación auricular en la práctica clínica real y los factores asociados con la decisión de anticoagular. Métodos: Estudiamos todos los pacientes mayores de 80 años de edad, con fibrilación auricular conocida atendidos en la consulta de geriatría de junio a diciembre de 2013. Resultados: Estudiamos 90 pacientes, con edad media de 85,6 años. La media de la puntuación de CHA2DS2-VASc fue de 4,7 y la media de HAS-BLED fue de 2. El 53% estaban anticoagulados. De los pacientes anticoagulados, el 96% tomaban acenocumarol y un 4% los nuevos anticoagulantes. En el análisis multivariante, la edad y el antecedente de demencia se asoció a la decisión de no anticoagulación. Conclusiones: Según nuestros resultados, un alto porcentaje de pacientes muy mayores con fibrilación auricular están sin anticoagular. El antecedente de demencia y la edad pesan más que la puntuación CHAD2DS2-Vasc y HAS-BLED a la hora de decidir la anticoagulación.

Introduction and objectives: Atrial fibrillation is the most common arrhythmia in elderly patients. Anticoagulation decision in this group can be difficult. We wanted to study the management of oral anticoagulation in very elderly patients with atrial fibrillation in clinical practice and the factors associated with the decision to anticoagulation. Methods: We studied all patients older than 80 years with known atrial fibrillation treated at the geriatric consultation from June to December 2013. Results: We studied 90 patients with a mean age of 85.6 years. The mean score of CHA2DS2-VASc was 4.7 and the mean of HAS-BLED was 2. 53% were anticoagulated. Out of anticoagulated patients, 96% were taking Acenocumarol and 4% new anticoagulants. In multivariate analysis, age and history of dementia was associated with the decision not to use anticoagulants. Conclusions: Our results suggest that a high percentage of very elderly patients with atrial fibrillation are without anticoagulation. The history of dementia and age outweigh the CHAD2DS2-Vasc and HAS-BLED score on deciding to anticoagulate.