Topological Features of Electroencephalography are Robust to Re-referencing and Preprocessing

Brain Topography - Electroencephalography (EEG) is among the most widely diffused, inexpensive, and adopted neuroimaging techniques. Nonetheless, EEG requires measurements against a reference...     

Cardiovascular risk factors in patients with spondyloarthritis from Northern European and Mediterranean countries: An ancillary study of the ASAS-COMOSPA project

Objectives

The objectives of this study were: (1) to compare the prevalence of cardiovascular disease and cardiovascular risk factors among different phenotypes of spondyloarthritis (SpA); (2) to assess the differences in cardiovascular disease and cardiovascular risk factors between two geographical areas, i.e. Northern Europe vs. Mediterranean region; (3) to identify potential predictive factors for high Framingham Risk Score regarding disease features in SpA and geographical area.

Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C

Objective

Hepatic fibrosis, the principal pointer to the development of a liver disease within chronic hepatitis C, can be measured through several stages. The correct evaluation of its degree, based on recent different non-invasive procedures, is of current major concern. The latest methodology for assessing it is the Fibroscan and the effect of its employment is impressive. However, the complex interaction between its stiffness indicator and the other biochemical and clinical examinations towards a respective degree of liver fibrosis is hard to be manually discovered. In this respect, the novel, well-performing evolutionary-powered support vector machines are proposed towards an automated learning of the relationship between medical attributes and fibrosis levels. The traditional support vector machines have been an often choice for addressing hepatic fibrosis, while the evolutionary option has been validated on many real-world tasks and proven flexibility and good performance.

Methods and materials

The evolutionary approach is simple and direct, resulting from the hybridization of the learning component within support vector machines and the optimization engine of evolutionary algorithms. It discovers the optimal coefficients of surfaces that separate instances of distinct classes. Apart from a detached manner of establishing the fibrosis degree for new cases, a resulting formula also offers insight upon the correspondence between the medical factors and the respective outcome. What is more, a feature selection genetic algorithm can be further embedded into the method structure, in order to dynamically concentrate search only on the most relevant attributes. The data set refers 722 patients with chronic hepatitis C infection and 24 indicators. The five possible degrees of fibrosis range from F0 (no fibrosis) to F4 (cirrhosis).

Results

Since the standard support vector machines are among the most frequently used methods in recent artificial intelligence studies for hepatic fibrosis staging, the evolutionary method is viewed in comparison to the traditional one. The multifaceted discrimination into all five degrees of fibrosis and the slightly less difficult common separation into solely three related stages are both investigated. The resulting performance proves the superiority over the standard support vector classification and the attained formula is helpful in providing an immediate calculation of the liver stage for new cases, while establishing the presence/absence and comprehending the weight of each medical factor with respect to a certain fibrosis level.

Conclusion

The use of the evolutionary technique for fibrosis degree prediction triggers simplicity and offers a direct expression of the influence of dynamically selected indicators on the corresponding stage. Perhaps most importantly, it significantly surpasses the classical support vector machines, which are both widely used and technically sound. All these therefore confirm the promise of the new methodology towards a dependable support within the medical decision-making.     

Emotional intelligence and perceived stress in dental undergraduates: a multinational survey

This multinational survey investigated the relationship between emotional intelligence (EI) and perceived stress (PS) in seven countries. First-year dental undergraduates attending a dental school in England, Greece, Romania, South Africa, Australia, and the United States and three schools in Malaysia were invited to complete a set of questionnaires on age, gender, academic background, satisfaction with career choice, EI, and PS. Of 860 questionnaires distributed, 596 were fully completed--a response rate of 69.3 percent. Mean EI score was 123.8 (95 percent CI 122.7-124.9), and mean PS score was 19.1 (95 percent CI 18.6-19.7). Significant differences in EI and PS scores were detected between different countries. Females (p<0.05), younger students (p<0.001), those without a previous higher education qualification (p<0.001), and those not satisfied with their decision to study dentistry (p<0.001) were more likely to report PS when compared to their counterparts. A significant inverse relationship (coefficient=-0.29, p=0.001) between EI and PS was detected. Independent significant predictors of PS identified were gender (beta=0.22, t=5.71, p=0.001), previous higher education qualification (beta=-0.14, t=-2.42, p=0.010), satisfaction with decision to study dentistry (beta=-0.20, t=-5.11, p=0.001), and EI (beta=-0.24, t=-6.09, p=0.001), with the latter being relatively the most important predictor. In conclusion, the inverse relationship between EI and PS has been confirmed in this heterogeneous sample representing diverse sociocultural and academic contexts of dental undergraduates.     

Surrogate decision makers’ attitudes towards research decision making for critically ill patients

Purpose

To examine the attitudes and preferences of surrogate decision makers (SDMs) regarding their involvement in the consent to research process for ICU patients.

Methods

We presented 136 SDMs of critically ill patients in five ICUs with four hypothetical research scenarios: baseline interventional study of a placebo controlled RCT; study with higher risk of treatment complication; study comparing two accepted treatments; study with shorter enrolment window. For each we asked SDMs if they would want to be involved in the consent to research decision, and to rate the acceptability of their comfort with, and their sense of burden with their involvement. Participants were screened for symptoms of anxiety and depression using the Hospital Anxiety and Depression Scale.

Results

For the baseline scenario, most SDMs wished to be involved in research decision making (90?%; 95?% CI 84–95?%); responses varied little across study permutations. The majority considered their involvement to be acceptable (85?%; 95?% CI 77–90?%), whereas, a small minority rated it as being unacceptable (2?%; 95?% CI 1–6?%). Many were comfortable with being involved (50?%; 95?% CI 41–59?%), but the number decreased when risk of harm was higher (34?%; 95?% CI 26–43?%) or enrolment window was shorter (41?%; 95?% CI 33–50?%). A majority (62?%) reported symptoms of anxiety and many (38?%) had symptoms of depression.

Conclusion

Most of the interviewed SDMs wished to be involved in research decision making for critically ill and incapable loved ones. Variability existed, however, in their desire to be involved when decisions were time-sensitive or perceived risk was greater.     

The selection of experts evaluating health projects for the EU Sixth Framework Program

Aim  

The Framework Programmes for Research and Technological Development (FP) are the European Union’s funding programmes for research in Europe. The study analyses the features of external experts involved in evaluating the research proposals in FP6 (years 2003–2006) in the area of Life Sciences.