Invasive candidiasis: comparison of management choices by infectious disease and critical care specialists.

OBJECTIVE: To compare the management of invasive candidiasis between infectious disease and critical care specialists. DESIGN AND SETTING: Clinical case scenarios of invasive candidiasis were presented during interactive sessions at national specialty meetings. Participants responded to questions using an anonymous electronic voting system. PATIENTS AND PARTICIPANTS: Sixty-five infectious disease and 51 critical care physicians in Switzerland. RESULTS: Critical care specialists were more likely to ask advice from a colleague with expertise in the field of fungal infections to treat Candida glabrata (19.5% vs. 3.5%) and C. krusei (36.4% vs. 3.3%) candidemia. Most participants reported that they would change or remove a central venous catheter in the presence of candidemia, but 77.1% of critical care specialists would start concomitant antifungal treatment, compared to only 50% of infectious disease specialists. Similarly, more critical care specialists would start antifungal prophylaxis when Candida spp. are isolated from the peritoneal fluid at time of surgery for peritonitis resulting from bowel perforation (22.2% vs. 7.2%). The two groups equally considered Candida spp. as pathogens in tertiary peritonitis, but critical care specialists would more frequently use amphotericin B than fluconazole, caspofungin, or voriconazole. In mechanically ventilated patients the isolation of 10(4) Candida spp. from a bronchoalveolar lavage was considered a colonizing organism by 94.9% of infectious disease, compared to 46.8% of critical care specialists, with a marked difference in the use of antifungal agents (5.1% vs. 51%). CONCLUSIONS: These data highlight differences between management approaches for candidiasis in two groups of specialists, particularly in the reported use of antifungals.

Thrombosis in paroxysmal nocturnal hemoglobinuria at a glance: a clinical review.

Paroxysmal nocturnal hemoglobinuria (PNH) is a rare, acquired stem cell disorder, with its primary clinical manifestations being hemolytic anemia, marrow failure and thrombophilia. Chronic hemolysis, failures of the fibrinolytic system, increased leukocyte-derived tissue factor levels in plasma, procoagulant microparticles generated through complement-mediated damage of platelets and venous endothelium are related to the acquired hypercoagulable state. Visceral thrombosis (including hepatic veins and mesenteric veins), cerebrovascular events and pulmonary embolism predict a poor outcome. Thrombosis is also associated with significant morbidity during pregnancy. Depending on the sites of thrombosis, a score-based probability to predict outcome can be assigned. Abdominal vein thromboses account for the majority of morbidity and mortality related to thrombosis, and time-dependent trends suggest that mortality rates tend to decline, with the advent of evolution of therapeutic and diagnostic strategies. In contrast, mortality rates from cerebrovascular events display no significant decline. Prompt diagnosis requires both clinical suspicion and sophisticated imaging techniques, along with multidisciplinary therapeutic intervention. In the eculizumab era, a significant reduction of thrombotic events was observed during therapy, and long-term follow up is needed to establish any benefit in rates and pattern of this complication. However, up to now, only bone marrow transplantation permanently abolishes the coagulation defect.

Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour

This paper presents the segmentation of bilateral parotid glands in the Head and Neck (H&N) CT images using an active contour based atlas registration. We compare segmentation results from three atlas selection strategies: (i) selection of "single-most-similar" atlas for each image to be segmented, (ii) fusion of segmentation results from multiple atlases using STAPLE, and (iii) fusion of segmentation results using majority voting. Among these three approaches, fusion using majority voting provided the best results. Finally, we present a detailed evaluation on a dataset of eight images (provided as a part of H&N auto segmentation challenge conducted in conjunction with MICCAI-2010 conference) using majority voting strategy.

Wählen per Internet verändert die Schweiz

Der Autor befasst sich mit dem Thema e-Voting am Beispiel der Schweiz. Umwählen zu gehen, begibt sich der Bürger auf Wählerseiten im Internet. Dort beantwortet er zuerst 10 Fragen zu bedeutsamen politischen Themen. Je nach seinen Antworten werden die dafür politisch eintretenden Kandidaten vorgestellt. Der Wähler kann sich nun detailliert über sie und ihre politischen Positionen informieren und dann entscheiden, welchem Politiker er seine Stimme gibt. Voraussetzung hierfür ist, dass die Kandidaten präzise Angaben über ihre Person und die von ihnen vertretene Politik im Internet zugänglich machen, da sie ansonsten auf den Wahlseiten nicht zugelassen würden und somit ihre Chancen, gewählt zu werden, minimieren würden. Hat der Bürger sich festgelegt, schickt er das Dokument zur Auswertung an einen Server des Staates, der dann innerhalb von Stunden das neue Wahlergebnis präsentieren könnte. Die Wahlseiten selbst werden wahrscheinlich nicht vom Staat kontrolliert, da die Regierung diese manipulieren könnte. Wenn aber die Gestaltung der Seiten in private Hand gelegt wird, besteht die Gefahr, dass die Listen nicht als offizielle Wahllisten anerkannt werden. Hier besteht also noch Klärungsbedarf. Ein klarer Vorteil solcher Wahlseiten ist, dass die Ziele und Interessen der Politiker noch transparenter werden. Das Internet bietet dem Bürger die Möglichkeit, seine persönlichen Interessen mit denen der Politiker zu vergleichen und sich dann nach einem Abwägunsprozess zu entscheiden. ,,In einigen Jahren werden hier zu Lande Wahlurnen ganz verschwinden", prophezeit der Autor und verweist auf die Arbeit einer Projektgruppe, die die noch offenen Fragen des E-Votings klären will.

Iowa Voters Judicial Directory, August 2012

Voter Information: • Answers to Questions about Judicial Retention Elections • Biographies of Judges on the 2012 Iowa Ballot

What you need to know about Judicial Retention Elections, August 2012

Retention elections are intended to focus on the professional competency of Iowa’s judges rather than the popularity of individual rulings. In a retention election, voters decide whether a judge should be retained or removed from office. If a judge receives a majority of “yes” votes, the judge serves another full term. If a judge receives a majority of “no” votes, the judge is removed from office at the end of the year.

Non-constant discounting in finite horizon: The free terminal time case

This paper derives the HJB (Hamilton-Jacobi-Bellman) equation for sophisticated agents in a finite horizon dynamic optimization problem with non-constant discounting in a continuous setting, by using a dynamic programming approach. A simple example is used in order to illustrate the applicability of this HJB equation, by suggesting a method for constructing the subgame perfect equilibrium solution to the problem.Conditions for the observational equivalence with an associated problem with constantdiscounting are analyzed. Special attention is paid to the case of free terminal time. Strotz¿s model (an eating cake problem of a nonrenewable resource with non-constant discounting) is revisited.

A two-level analysis of the determinants of direct democratic choices in European, immigration and foreign policy in Switzerland

This article employs a unique data set - covering 25 popular votes on foreign, European and immigration/asylum policy held between 1992 and 2006 in Switzerland - in order to examine the conditional impact of context upon utilitarian, cultural, political and cognitive determinants of individual attitudes toward international openness. Our results reveal clear patterns of cross-level interactions between individual determinants and the project-related context of the vote. Thus, although party cues and political competence have a strong impact on individuals' support for international openness, this impact is substantially mediated by the type of coalition that is operating within the party elite. Similarly, subjective utilitarian and cultural considerations influence the voters' decision in interaction with the content of the proposal submitted to the voters as well as with the framing of the voting campaign.

Leadership at the upper echelons : three essays

"IT'S THE ECONOMY STUPID", BUT CHARISMA MATTERS TOO: A DUAL PROCESS MODEL OF PRESIDENTIAL ELECTION OUTCOMES. ABSTRACT Because charisma is assumed to be an important determinant of effective leadership, the extent to which a presidential nominee is more charismatic than his opponent should be an important determinant of voter choices. We computed a composite measure of the rhetorical richness of acceptances speeches given by U.S. presidential candidates at their national party convention. We added this marker of charisma to Ray C. Fair's presidential vote-share equation (1978; 2009). We theorized that voters decide using psychological attribution (i.e., due to macroeconomics and incumbency) as well as inferential processes (i.e., due to leader charismatic behavior) when voting. Controlling for the macro-level variables and incumbency in the Fair model, our results indicated that difference between nominees' charisma is a significant determinant of electoral success, particularly in close elections. This extended model significantly improves the precision of the Fair model and correctly predicts 23 out of the last 24 U.S. presidential elections. Paper 2: IT CEO LEADERSHIP, CORPORATE SOCIAL AND FINANCIAL PERFORMANCE. ABSTRACT We investigated whether CEO leadership predicted corporate financial performance (CFP) and corporate social performance (CSP). Using longitudinal data on 258 CEOs from 117 firms across 19 countries and 10 industry sectors, we found that determinants of CEO leadership (i.e., implicit motives) significantly predicted both CFP and CSP. As expected, the most consistent positive predictor was Responsibility Disposition when interacting with n (need for) Power. n Achievement and n Affiliation were generally negatively related or unrelated to outcomes. CSP was positively related to accounting measures of CFP. Our findings suggest that executive leader characteristics have important consequences for corporate level outcomes. Paper 3. PUNISHING THE POWERFUL: ATTRIBUTIONS OF BLAME AND LEADERSHIP ABSTRACT We propose that individuals are more lenient in attributing blame to leaders than to nonleaders. We advance a motivational explanation building on the perspective of punishment and on system justification theory. We conducted two scenario experiments which supported our proposition. In study 1, wrongdoer leader status was negatively related to blame and the perceived seriousness of the wrongdoing. In study 2, controlling for the Big-Five personality factor and individual differences in moral evaluation (i.e., moral foundations), wrongdoer leader status was negatively related with desired severity of punishment, and fair punishments were perceived as more just for non-leaders than for leaders.

Network-based scoring system for genome-scale metabolic reconstructions

Background: Network reconstructions at the cell level are a major development in Systems Biology. However, we are far from fully exploiting its potentialities. Often, the incremental complexity of the pursued systems overrides experimental capabilities, or increasingly sophisticated protocols are underutilized to merely refine confidence levels of already established interactions. For metabolic networks, the currently employed confidence scoring system rates reactions discretely according to nested categories of experimental evidence or model-based likelihood. Results: Here, we propose a complementary network-based scoring system that exploits the statistical regularities of a metabolic network as a bipartite graph. As an illustration, we apply it to the metabolism of Escherichia coli. The model is adjusted to the observations to derive connection probabilities between individual metabolite-reaction pairs and, after validation, to assess the reliability of each reaction in probabilistic terms. This network-based scoring system uncovers very specific reactions that could be functionally or evolutionary important, identifies prominent experimental targets, and enables further confirmation of modeling results. Conclusions: We foresee a wide range of potential applications at different sub-cellular or supra-cellular levels of biological interactions given the natural bipartivity of many biological networks.

E-tools for civic education : experiences from the election campaign in Switzerland 2007

Political participation is often very low in Switzerland especially among students and young citizens. In the run-up to the Swiss parliamentary election in October 2007 several online tools and campaigns were developed with the aim to increase not only the level of information about the political programs of parties and candidates, but also the electoral participation of younger citizens. From a practical point of view this paper will describe the development, marketing efforts and the distribution as well as the use of two of these tools : the so-called "Parteienkompass" (party compass) and the "myVote"-tool - an online voting assistance tool based on an issue-matching system comparing policy preferences between voters and candidates on an individual level. We also havea look at similar tools stemming from Voting Advice Applications (VAA) in other countries in Western Europe. The paper closes with the results of an evaluation and an outlook to further developments and on-going projects in the near future in Switzerland.

Benchmarking therapeutic drug monitoring software: A systematic evaluation of available computer tools

Introduction: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on measurement of blood concentrations. Maintaining concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. In the last decades computer programs have been developed to assist clinicians in this assignment. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Method: Literature and Internet search was performed to identify software. All programs were tested on common personal computer. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software's characteristics. Numbers of drugs handled vary widely and 8 programs offer the ability to the user to add its own drug model. 10 computer programs are able to compute Bayesian dosage adaptation based on a blood concentration (a posteriori adjustment) while 9 are also able to suggest a priori dosage regimen (prior to any blood concentration measurement), based on individual patient covariates, such as age, gender, weight. Among those applying Bayesian analysis, one uses the non-parametric approach. The top 2 software emerging from this benchmark are MwPharm and TCIWorks. Other programs evaluated have also a good potential but are less sophisticated (e.g. in terms of storage or report generation) or less user-friendly.¦Conclusion: Whereas 2 integrated programs are at the top of the ranked listed, such complex tools would possibly not fit all institutions, and each software tool must be regarded with respect to individual needs of hospitals or clinicians. Interest in computing tool to support therapeutic monitoring is still growing. Although developers put efforts into it the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capacity of data storage and report generation.

Performance of a new gadolinium-based intravascular contrast agent in free-breathing inversion-recovery 3D coronary MRA.

In three-dimensional (3D) coronary magnetic resonance angiography (MRA), the in-flow contrast between the coronary blood and the surrounding myocardium is attenuated as compared to thin-slab two-dimensional (2D) techniques. The application of a gadolinium (Gd)-based intravascular contrast agent may provide an additional source of signal and contrast by reducing T(1blood) and supporting the visualization of more distal or branching segments of the coronary arterial tree. In six healthy adults, the left coronary artery (LCA) system was imaged pre- and postcontrast with a 0.075-mmol/kg bodyweight dose of the intravascular contrast agent B-22956. For imaging, an optimized free-breathing, navigator-gated and -corrected 3D inversion recovery (IR) sequence was used. For comparison, state-of-the-art baseline 3D coronary MRA with T(2) preparation for non-exogenous contrast enhancement was acquired. The combination of IR 3D coronary MRA, sophisticated navigator technology, and B-22956 allowed for an extensive visualization of the LCA system. Postcontrast, a significant increase in both the signal-to-noise ratio (SNR; 46%, P < 0.05) and contrast-to-noise ratio (CNR; 160%, P < 0.01) was observed, while vessel sharpness of the left anterior descending (LAD) artery and the left coronary circumflex (LCX) were improved by 20% (P < 0.05) and 18% (P < 0.05), respectively.

Benchmarking therapeutic drug monitoring software: A systematic evaluation of available computer tools

Objectives: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on blood concentrations measurement. Maintaining concentrations within a target range requires pharmacokinetic (PK) and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Methods: Literature and Internet were searched to identify software. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software characteristics. Numbers of drugs handled vary from 2 to more than 180, and integration of different population types is available for some programs. Nevertheless, 8 programs offer the ability to add new drug models based on population PK data. 10 computer tools incorporate Bayesian computation to predict dosage regimen (individual parameters are calculated based on population PK models). All of them are able to compute Bayesian a posteriori dosage adaptation based on a blood concentration while 9 are also able to suggest a priori dosage regimen, only based on individual patient covariates. Among those applying Bayesian analysis, MM-USC*PACK uses a non-parametric approach. The top 2 programs emerging from this benchmark are MwPharm and TCIWorks. Others programs evaluated have also a good potential but are less sophisticated or less user-friendly.¦Conclusions: Whereas 2 software packages are ranked at the top of the list, such complex tools would possibly not fit all institutions, and each program must be regarded with respect to individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Although interest in TDM tools is growing and efforts were put into it in the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capability of data storage and automated report generation.