Infection after total ankle replacement : A 5-year retrospective analysis of 92 implanted ankle prostheses (2004-2008).

Objectives: Total ankle replacement (TAR) is increasingly used for treatment of primary or posttraumatic arthritis of the ankle joint, if joint movement is intended to be preserved. Data on characteristics and treatment of ankle prosthetic joint infection (PJI) is limited and no validated therapeutic algorithm exist. Therefore, we analyzed all infections, which occurred in a cohort of implanted ankle prostheses during a 5-year-period.Methods: Between 06/2004 and 12/2008, all patients with an implanted ankle prosthesis at our institution were retrospectively reviewed. All patients were operated by the same surgical team. Ankle PJI was defined as visible purulence, acute inflammation on histopathology, sinus tract, or microbial growth in periprosthetic tissue or sonication fluid of the removed prosthesis. The surgery on the infected ankle prosthesis and the follow-up were performed by the surgical team, who implanted the prosthesis. A specialized septic team consisting of an orthopaedic surgeon and infectious diseases consultant were included in the treatment.Results: During the study period, 92 total ankle prostheses were implanted in 90 patients (mean age 61 years, range 28-80 years). 78 patients had posttraumatic arthritis, 11 rheumatoid arthritis and 3 other degenerative disorder. Ankle PJI occurred in 3 of 92 TAR (3.3%), occurring 1, 2 and 24 months after implantation; the causative organisms were Enterobacter cloacae, Streptococcus pyogenes and Staphylococcus epidermidis, respectively. The ankle prosthesis was removed in all infected patients, including debridement of the surrounding tissue was debrided and insertion of an antibiotic loaded spacer. Provisional arthrodesis was performed by external fixation in two patients and by plaster cast in one. A definitive ankle arthrodesis with a retrograde nail was performed 6 to 8 weeks after prosthesis removal. One patient needed a flap coverage. All 3 patients received intravenous antibiotic treatment for 2 weeks, followed by oral antibiotics for 4-6 weeks. At follow-up visit up to 18 months after start of treatment, all patients were without clinical or laboratory signs of infection.Conclusions: The infection incidence after TAR was 3.3%, which is slightly higher than reported after hip (<1%) or knee arthroplasty (<2%). A two-step approach consisting of removal of the infected prosthesis, combined with local and systemic antibiotic treatment, followed by definitive ankle arthrodesis shows good results. Larger patient cohort and longer follow-up evaluation is needed to define the optimal treatment approach for ankle PJI.

Multiple Kernel Learning of Environmental Data. Case study: Analysis and Mapping of Wind Fields

The paper presents the Multiple Kernel Learning (MKL) approach as a modelling and data exploratory tool and applies it to the problem of wind speed mapping. Support Vector Regression (SVR) is used to predict spatial variations of the mean wind speed from terrain features (slopes, terrain curvature, directional derivatives) generated at different spatial scales. Multiple Kernel Learning is applied to learn kernels for individual features and thematic feature subsets, both in the context of feature selection and optimal parameters determination. An empirical study on real-life data confirms the usefulness of MKL as a tool that enhances the interpretability of data-driven models.

Factors affecting visual analysis in single-case designs

Visual inspection remains the most frequently applied method for detecting treatment effects in single-case designs. The advantages and limitations of visual inference are here discussed in relation to other procedures for assessing intervention effectiveness. The first part of the paper reviews previous research on visual analysis, paying special attention to the validation of visual analysts" decisions, inter-judge agreement, and false alarm and omission rates. The most relevant factors affecting visual inspection (i.e., effect size, autocorrelation, data variability, and analysts" expertise) are highlighted and incorporated into an empirical simulation study with the aim of providing further evidence about the reliability of visual analysis. Our results concur with previous studies that have reported the relationship between serial dependence and increased Type I rates. Participants with greater experience appeared to be more conservative and used more consistent criteria when assessing graphed data. Nonetheless, the decisions made by both professionals and students did not match sufficiently the simulated data features, and we also found low intra-judge agreement, thus suggesting that visual inspection should be complemented by other methods when assessing treatment effectiveness.

Efficient total variation algorithm for fetal brain MRI reconstruction.

Fetal MRI reconstruction aims at finding a high-resolution image given a small set of low-resolution images. It is usually modeled as an inverse problem where the regularization term plays a central role in the reconstruction quality. Literature has considered several regularization terms s.a. Dirichlet/Laplacian energy, Total Variation (TV)- based energies and more recently non-local means. Although TV energies are quite attractive because of their ability in edge preservation, standard explicit steepest gradient techniques have been applied to optimize fetal-based TV energies. The main contribution of this work lies in the introduction of a well-posed TV algorithm from the point of view of convex optimization. Specifically, our proposed TV optimization algorithm or fetal reconstruction is optimal w.r.t. the asymptotic and iterative convergence speeds O(1/n2) and O(1/√ε), while existing techniques are in O(1/n2) and O(1/√ε). We apply our algorithm to (1) clinical newborn data, considered as ground truth, and (2) clinical fetal acquisitions. Our algorithm compares favorably with the literature in terms of speed and accuracy.

Predictive analysis and mapping of indoor radon concentrations in Switzerland

It is estimated that around 230 people die each year due to radon (222Rn) exposure in Switzerland. 222Rn occurs mainly in closed environments like buildings and originates primarily from the subjacent ground. Therefore it depends strongly on geology and shows substantial regional variations. Correct identification of these regional variations would lead to substantial reduction of 222Rn exposure of the population based on appropriate construction of new and mitigation of already existing buildings. Prediction of indoor 222Rn concentrations (IRC) and identification of 222Rn prone areas is however difficult since IRC depend on a variety of different variables like building characteristics, meteorology, geology and anthropogenic factors. The present work aims at the development of predictive models and the understanding of IRC in Switzerland, taking into account a maximum of information in order to minimize the prediction uncertainty. The predictive maps will be used as a decision-support tool for 222Rn risk management. The construction of these models is based on different data-driven statistical methods, in combination with geographical information systems (GIS). In a first phase we performed univariate analysis of IRC for different variables, namely the detector type, building category, foundation, year of construction, the average outdoor temperature during measurement, altitude and lithology. All variables showed significant associations to IRC. Buildings constructed after 1900 showed significantly lower IRC compared to earlier constructions. We observed a further drop of IRC after 1970. In addition to that, we found an association of IRC with altitude. With regard to lithology, we observed the lowest IRC in sedimentary rocks (excluding carbonates) and sediments and the highest IRC in the Jura carbonates and igneous rock. The IRC data was systematically analyzed for potential bias due to spatially unbalanced sampling of measurements. In order to facilitate the modeling and the interpretation of the influence of geology on IRC, we developed an algorithm based on k-medoids clustering which permits to define coherent geological classes in terms of IRC. We performed a soil gas 222Rn concentration (SRC) measurement campaign in order to determine the predictive power of SRC with respect to IRC. We found that the use of SRC is limited for IRC prediction. The second part of the project was dedicated to predictive mapping of IRC using models which take into account the multidimensionality of the process of 222Rn entry into buildings. We used kernel regression and ensemble regression tree for this purpose. We could explain up to 33% of the variance of the log transformed IRC all over Switzerland. This is a good performance compared to former attempts of IRC modeling in Switzerland. As predictor variables we considered geographical coordinates, altitude, outdoor temperature, building type, foundation, year of construction and detector type. Ensemble regression trees like random forests allow to determine the role of each IRC predictor in a multidimensional setting. We found spatial information like geology, altitude and coordinates to have stronger influences on IRC than building related variables like foundation type, building type and year of construction. Based on kernel estimation we developed an approach to determine the local probability of IRC to exceed 300 Bq/m3. In addition to that we developed a confidence index in order to provide an estimate of uncertainty of the map. All methods allow an easy creation of tailor-made maps for different building characteristics. Our work is an essential step towards a 222Rn risk assessment which accounts at the same time for different architectural situations as well as geological and geographical conditions. For the communication of 222Rn hazard to the population we recommend to make use of the probability map based on kernel estimation. The communication of 222Rn hazard could for example be implemented via a web interface where the users specify the characteristics and coordinates of their home in order to obtain the probability to be above a given IRC with a corresponding index of confidence. Taking into account the health effects of 222Rn, our results have the potential to substantially improve the estimation of the effective dose from 222Rn delivered to the Swiss population.

Gibbard's expressivism: an interdisciplinary critical analysis

This paper examines key aspects of Allan Gibbard's psychological account of moral activity. Inspired by evolutionary theory, Gibbard paints a naturalistic picture of morality mainly based on two specific types of emotion: guilt and anger. His sentimentalist and expressivist analysis is also based on a particular conception of rationality. I begin by introducing Gibbard's theory before testing some key assumptions underlying his system against recent empirical data and theories. The results cast doubt on some crucial aspects of Gibbard's philosophical theory, namely his reduction of morality to anger and guilt, and his theory of 'normative governance'. Gibbard's particular version of expressivism may be undermined by these doubts.

Empirical study about the effects of the application of IAS 32 in Cooperatives

Objecte: L'aplicació de la NIC 32 en les cooperatives ha generat una important controvèrsia en els últims anys. Fins al moment, s'han realitzat diversos treballs que intenten preveure els possibles efectes de la seva aplicació. Aquest treball pretén analitzar l'impacte de la primera aplicació de la NIC 32 en el sector cooperatiu. Disseny/metodologia/enfocament: S'ha seleccionat una mostra de 98 cooperatives, i s'ha realitzat una anàlisi comparativa de la seva informació financera presentada abans i després de l'aplicació de la NIC 32, per a determinar les diferències existents. S’ha utilitzat la prova de la suma de rangs de Wilcoxon per comprovar si aquestes diferències són significatives. També s’ha utilitzat la prova de la U de Mann Whitney per comprovar si existeixen diferències significatives en l’impacte relatiu de l’aplicació de la NIC 32 entre diversos grups de cooperatives. Finalment, s'ha realitzat una anàlisi dels efectes de l'aplicació de la NIC 32 en la situació patrimonial i econòmica de les cooperatives, i en l'evolució dels seus actius intangibles, mitjançant l’ús de tècniques d’anàlisi econòmico-financera. Aportacions i resultats: Els resultats obtinguts confirmen que l'aplicació de la NIC 32 provoca diferències significatives en algunes partides del balanç de situació i el compte de pèrdues i guanys, així com en les ràtios analitzades. Les principals diferències es concreten en una reducció del nivell de capitalització i un augment de l'endeutament de les cooperatives, així com un empitjorament general dels ràtios de solvència i autonomia financera. Limitacions: Cal tenir en compte que el treball s'ha realitzat amb una mostra de cooperatives que estan obligades a auditar els seus comptes anuals. Per tant, els resultats obtinguts han d'interpretar-se en un context de cooperatives de tamany elevat. També cal tenir en compte que hem realitzat una anàlisi comparativa dels comptes anuals de 2011 i 2010. Això ens ha permès conèixer les diferències en la informació financera de les cooperatives abans i després d'aplicar la NIC 32. Encara que algunes d’aquestes diferències també podrien estar causades per altres factors com la situació econòmica, els canvis en l'aplicació de les normes comptables, etc. Originalitat/valor afegit: Creiem que és el moment idoni per a realitzar aquest treball d'investigació, ja que des de 2011 totes les cooperatives espanyoles han d'aplicar les normes comptables adaptades a la NIC 32. A més, fins on coneixem, no existeixen altres treballs similars realitzats amb comptes anuals de cooperatives que ja han aplicat les normes comptables adaptades a la NIC 32 . Creiem que els resultats d'aquest treball d'investigació poden ser útils per a diferents grups d'interès. En primer lloc, perquè els organismes emissors de normes comptables puguin conèixer l'abast de la NIC 32 en les cooperatives i, puguin plantejar millores en el contingut de la norma. En segon lloc, perquè les pròpies cooperatives, federacions, confederacions i altres organismes cooperatius disposin d'informació sobre l'impacte econòmic de la primera aplicació de la NIC 32, i puguin realitzar les valoracions que creguin convenients. I en tercer lloc, perquè les entitats financeres, auditors i assessors de cooperatives i altres grups d'interès disposin d'informació sobre els canvis en els comptes anuals de les cooperatives, i puguin tenir-los en compte a l'hora de prendre decisions. Paraules clau: Cooperatives, patrimoni net, capital social, NIC 32, solvència, efectes de la normativa comptable, informació financera, ràtios.

The Impact of Cooperation on R&D, Innovation andProductivity: an Analysis of Spanish Manufacturing and Services Firms

This paper investigates relationships between cooperation, R&D, innovation and productivity in Spanish firms. It uses a large sample of firm-level micro-data and applies an extended structural model that aims to explain the effects of cooperation on R&D investment, of R&D investment on output innovation, and of innovation on firms’ productivity levels. It also analyses the determinants of R&D cooperation. Firms’ technology level is taken into account in order to analyse the differences between high-tech and low-tech firms, both in the industrial and service sectors. The database used was the Technological Innovation Panel (PITEC) for the period 2004-2010. Empirical results show that firms which cooperate in innovative activities are more likely to invest in R&D in subsequent years. As expected, R&D investment has a positive impact on the probability of generating an innovation, in terms of both product and process, for manufacturing firms. Finally, innovation output has a positive impact on firms’ productivity, being greater in process innovations.

Impact of Duration of Primary Education on School Enrollment, Graduation and Drop-outs: A Cross- Country Analysis

Using a panel data for non-OECD countries covering the period 1970-2012, this chapter analyzes the impact of the duration of primary education on school enrollment, drop-out and completion rates. The empirical results show that for children in elementary school one ad- ditional grade of primary education have a negative impact on the enrollment rate, while the e ect on drop-outs is positive. Analogously, it is obtained that an additional grade in primary education reduces the enrollment rate in secondary education. These results are in line with the fertility model approach, that is, in developing and underdeveloped countries parents do not have incentive to send children to school given the high perceived economic value of children.

The Impact of Cooperation on R&D, Innovation and Productivity: an Analysis of Spanish Manufacturing and Services Firms

This paper investigates relationships between cooperation, R&D, innovation and productivity in Spanish firms. It uses a large sample of firm-level micro-data and applies an extended structural model that aims to explain the effects of cooperation on R&D investment, of R&D investment on output innovation, and of innovation on firms’ productivity levels. It also analyses the determinants of R&D cooperation. Firms’ technology level is taken into account in order to analyse the differences between high-tech and low-tech firms, both in the industrial and service sectors. The database used was the Technological Innovation Panel (PITEC) for the period 2004-2010. Empirical results show that firms which cooperate in innovative activities are more likely to invest in R&D in subsequent years. As expected, R&D investment has a positive impact on the probability of generating an innovation, in terms of both product and process, for manufacturing firms. Finally, innovation output has a positive impact on firms’ productivity, being greater in process innovations. Keywords: innovation sources; productivity; R&D Cooperation

A realistic Computed Tomography simulator for small motion analysis of cerebral aneurysms.

This paper describes a realistic simulator for the Computed Tomography (CT) scan process for motion analysis. In fact, we are currently developing a new framework to find small motion from the CT scan. In order to prove the fidelity of this framework, or potentially any other algorithm, we present in this paper a simulator to simulate the whole CT acquisition process with a priori known parameters. In other words, it is a digital phantom for the motion analysis that can be used to compare the results of any related algorithm with the ground-truth realistic analytical model. Such a simulator can be used by the community to test different algorithms in the biomedical imaging domain. The most important features of this simulator are its different considerations to simulate the best the real acquisition process and its generality.

Multiway Array Decomposition Analysis of EEGs in Alzheimer’s Disease

Methods for the extraction of features from physiological datasets are growing needs as clinical investigations of Alzheimer’s disease (AD) in large and heterogeneous population increase. General tools allowing diagnostic regardless of recording sites, such as different hospitals, are essential and if combined to inexpensive non-invasive methods could critically improve mass screening of subjects with AD. In this study, we applied three state of the art multiway array decomposition (MAD) methods to extract features from electroencephalograms (EEGs) of AD patients obtained from multiple sites. In comparison to MAD, spectral-spatial average filter (SSFs) of control and AD subjects were used as well as a common blind source separation method, algorithm for multiple unknown signal extraction (AMUSE). We trained a feed-forward multilayer perceptron (MLP) to validate and optimize AD classification from two independent databases. Using a third EEG dataset, we demonstrated that features extracted from MAD outperformed features obtained from SSFs AMUSE in terms of root mean squared error (RMSE) and reaching up to 100% of accuracy in test condition. We propose that MAD maybe a useful tool to extract features for AD diagnosis offering great generalization across multi-site databases and opening doors to the discovery of new characterization of the disease.

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels

It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve the original signal, in the same manner as spatial independence is used for source separation. In this paper we propose the use of a Genetic Algorithm (GA) to blindly invert linear channels. The use of GA is justified in the case of small number of samples, where other gradient-like methods fails because of poor estimation of statistics.

Oral versus intravenous empirical antimicrobial therapy for fever in patients with granulocytopenia who are receiving cancer chemotherapy. International Antimicrobial Therapy Cooperative Group of the European Organization for Research and Treatment of Cancer.

BACKGROUND: Intravenously administered antimicrobial agents have been the standard choice for the empirical management of fever in patients with cancer and granulocytopenia. If orally administered empirical therapy is as effective as intravenous therapy, it would offer advantages such as improved quality of life and lower cost. METHODS: In a prospective, open-label, multicenter trial, we randomly assigned febrile patients with cancer who had granulocytopenia that was expected to resolve within 10 days to receive empirical therapy with either oral ciprofloxacin (750 mg twice daily) plus amoxicillin-clavulanate (625 mg three times daily) or standard daily doses of intravenous ceftriaxone plus amikacin. All patients were hospitalized until their fever resolved. The primary objective of the study was to determine whether there was equivalence between the regimens, defined as an absolute difference in the rates of success of 10 percent or less. RESULTS: Equivalence was demonstrated at the second interim analysis, and the trial was terminated after the enrollment of 353 patients. In the analysis of the 312 patients who were treated according to the protocol and who could be evaluated, treatment was successful in 86 percent of the patients in the oral-therapy group (95 percent confidence interval, 80 to 91 percent) and 84 percent of those in the intravenous-therapy group (95 percent confidence interval, 78 to 90 percent; P=0.02). The results were similar in the intention-to-treat analysis (80 percent and 77 percent, respectively; P=0.03), as were the duration of fever, the time to a change in the regimen, the reasons for such a change, the duration of therapy, and survival. The types of adverse events differed slightly between the groups but were similar in frequency. CONCLUSIONS: In low-risk patients with cancer who have fever and granulocytopenia, oral therapy with ciprofloxacin plus amoxicillin-clavulanate is as effective as intravenous therapy.

E-Health and Society : An Empirical Study of Catalonia. Research report (synthesis document)

Aquest estudi va analitzar la interacció del canvi organitzatiu, els valors culturals i el canvi tecnològic en el sistema sanitari català. L'estudi se subdivideix en cinc parts diferents. La primera és una anàlisi de contingut de webs relacionats amb la salut a Catalunya. La segona és un estudi dels usos d'Internet en qüestions relacionades amb la salut entre la població en general, les associacions de pacients i els professionals de la salut, i es basa en un sondeig per Internet adaptat a cada un d'aquests grups. La tercera part és un estudi de treball de camp dels programes experimentals duts a terme pel Govern català en diverses àrees i hospitals locals per a integrar electrònicament la història clínica dels pacients. La quarta és un estudi de les implicacions organitzatives de la introducció de sistemes d'informació en la gestió d'hospitals i centres d'assistència primària a l'Institut Català de Salut, el principal proveïdor de salut pública a Catalunya, i es basa en un sondeig per Internet i entrevistes en profunditat. La cinquena part és un estudi de cas dels efectes organitzatius i socials de la introducció de les tecnologies de la informació i la comunicació en un dels principals hospitals de Catalunya, l'Hospital Clínic de Barcelona. L'estudi es va dur a terme entre el maig del 2005 i el juliol del 2007.