β-Glucan antigenemia assay for the diagnosis of invasive fungal infections in patients with hematological malignancies: a systematic review and meta-analysis of cohort studies from the Third European Conference on Infections in Leukemia (ECIL-3).

BACKGROUND: Invasive fungal infections (IFIs) are life-threatening complications in patients with hemato-oncological malignancies, and early diagnosis is crucial for outcome. The compound 1,3-β-D-glucan (BG), a cell wall component of most fungal species, can be detected in blood during IFI. Four commercial BG antigenemia assays are available (Fungitell, Fungitec-G, Wako, and Maruha). This meta-analysis from the Third European Conference on Infections in Leukemia (ECIL-3) assessed the performance of BG assays for the diagnosis of IFI in hemato-oncological patients. METHODS: Studies reporting the performance of BG antigenemia assays for the diagnosis of IFI (European Organization for Research and Treatment of Cancer and Mycoses Study Group criteria) in hemato-oncological patients were identified. The analysis was focused on high-quality cohort studies with exclusion of case-control studies. Meta-analysis was performed by conventional meta-analytical pooling and bivariate analysis. RESULTS: Six cohort studies were included (1771 adult patients with 414 IFIs of which 215 were proven or probable). Similar performance was observed among the different BG assays. For the cutoff recommended by the manufacturer, the diagnostic performance of the BG assay in proven or probable IFI was better with 2 consecutive positive test results (diagnostic odds ratio for 2 consecutive vs one single positive results, 111.8 [95% confidence interval {CI}, 38.6-324.1] vs 16.3 [95% CI, 6.5-40.8], respectively; heterogeneity index for 2 consecutive vs one single positive results, 0% vs 72.6%, respectively). For 2 consecutive tests, sensitivity and specificity were 49.6% (95% CI, 34.0%-65.3%) and 98.9% (95% CI, 97.4%-99.5%), respectively. Estimated positive and negative predictive values for an IFI prevalence of 10% were 83.5% and 94.6%, respectively. CONCLUSIONS: Different BG assays have similar accuracy for the diagnosis of IFI in hemato-oncological patients. Two consecutive positive antigenemia assays have very high specificity, positive predictive value, and negative predictive value. Because sensitivity is low, the test needs to be combined with clinical, radiological, and microbiological findings.

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale: some case studies

Every year, debris flows cause huge damage in mountainous areas. Due to population pressure in hazardous zones, the socio-economic impact is much higher than in the past. Therefore, the development of indicative susceptibility hazard maps is of primary importance, particularly in developing countries. However, the complexity of the phenomenon and the variability of local controlling factors limit the use of processbased models for a first assessment. A debris flow model has been developed for regional susceptibility assessments using digital elevation model (DEM) with a GIS-based approach.. The automatic identification of source areas and the estimation of debris flow spreading, based on GIS tools, provide a substantial basis for a preliminary susceptibility assessment at a regional scale. One of the main advantages of this model is its workability. In fact, everything is open to the user, from the data choice to the selection of the algorithms and their parameters. The Flow-R model was tested in three different contexts: two in Switzerland and one in Pakistan, for indicative susceptibility hazard mapping. It was shown that the quality of the DEM is the most important parameter to obtain reliable results for propagation, but also to identify the potential debris flows sources.

European guidelines for empirical antibacterial therapy for febrile neutropenic patients in the era of growing resistance: summary of the 2011 4th European Conference on Infections in Leukemia.

Owing to increasing resistance and the limited arsenal of new antibiotics, especially against Gram-negative pathogens, carefully designed antibiotic regimens are obligatory for febrile neutropenic patients, along with effective infection control. The Expert Group of the 4(th) European Conference on Infections in Leukemia has developed guidelines for initial empirical therapy in febrile neutropenic patients, based on: i) the local resistance epidemiology; and ii) the patient's risk factors for resistant bacteria and for a complicated clinical course. An 'escalation' approach, avoiding empirical carbapenems and combinations, should be employed in patients without particular risk factors. A 'de-escalation' approach, with initial broad-spectrum antibiotics or combinations, should be used only in those patients with: i) known prior colonization or infection with resistant pathogens; or ii) complicated presentation; or iii) in centers where resistant pathogens are prevalent at the onset of febrile neutropenia. In the latter case, infection control and antibiotic stewardship also need urgent review. Modification of the initial regimen at 72-96 h should be based on the patient's clinical course and the microbiological results. Discontinuation of antibiotics after 72 h or later should be considered in neutropenic patients with fever of unknown origin who are hemodynamically stable since presentation and afebrile for at least 48 h, irrespective of neutrophil count and expected duration of neutropenia. This strategy aims to minimize the collateral damage associated with antibiotic overuse, and the further selection of resistance.

Linee guida della consensus conference dell'ANGP per il monitoraggio plasmatico dei farmaci (TDM) in psichiatria. Aggiornamento 2011 =AGNP consensus guidelines for therapeutic drug monitoring in psychiatry: update 2011

Therapeutic drug monitoring (TDM), i.e., the quantification of serum or plasma concentrations of medications for dose optimization, has proven a valuable tool for the patient-matched psychopharmacotherapy. Uncertain drug adherence, suboptimal tolerability, non-response at therapeutic doses, or pharmacokinetic drug-drug interactions are typical situations when measurement of medication concentrations is helpful. Patient populations that may predominantly benefit from TDM in psychiatry are children, pregnant women, elderly patients, individuals with intelligence disabilities, forensic patients, patients with known or suspected genetically determined pharmacokinetic abnormalities or individuals with pharmacokinetically relevant comorbidities. However, the potential benefits of TDM for optimization of pharmacotherapy can only be obtained if the method is adequately integrated into the clinical treatment process. To promote an appropriate use of TDM, the TDM expert group of the Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) issued guidelines for TDM in psychiatry in 2004. Since then, knowledge has advanced significantly, and new psychopharmacologic agents have been introduced that are also candidates for TDM. Therefore the TDM consensus guidelines were updated and extended to 128 neuropsychiatric drugs. 4 levels of recommendation for using TDM were defined ranging from "strongly recommended" to "potentially useful". Evidence-based "therapeutic reference ranges" and "dose related reference ranges" were elaborated after an extensive literature search and a structured internal review process. A "laboratory alert level" was introduced, i.e., a plasma level at or above which the laboratory should immediately inform the treating physician. Supportive information such as cytochrome P450 substrateand inhibitor properties of medications, normal ranges of ratios of concentrations of drug metabolite to parent drug and recommendations for the interpretative services are given. Recommendations when to combine TDM with pharmacogenetic tests are also provided. Following the guidelines will help to improve the outcomes of psychopharmacotherapy of many patients especially in case of pharmacokinetic problems. Thereby, one should never forget that TDM is an interdisciplinary task that sometimes requires the respectful discussion of apparently discrepant data so that, ultimately, the patient can profit from such a joint effort.

Metacognitive training for adolescents with psychosis: A multiple case study

Cognitive biases may be one of the explaining factor underlying psychotic symptoms like delusions and hallucinations. Metacognitive training (MCT) was demonstrated, in adults with schizophrenia, to reduce these cognitive biases. However, to the best of our knowledge, there has been no research on adolescents with psychosis. The current study aimed at assessing the feasibility, treatment adherence and its benefi cial effects on psychotic symptoms, depression, social functioning and self-esteem of a MCT. Participants were fi ve psychotic adolescents with psychosis, aged 16-18, who attended the Day Care Unit for Adolescents (DCUA). The MCT, delivered in group, corresponds to 2x8 modules, lasting between 45 and 60 minutes once a week. To measure MCT's effi ciency, the Positive And Negative Syndrome Scale (PANSS), the Social and Occupational Functioning Assessment Scale (SOFAS), the Health of Nation Outcome Scale for Children and Adolescent (HoNOSCA), the depression scale of Calgary and the self-esteem scale of Rosenberg have been used. The results of the 5 patients indicate that MCT is feasible and the treatment adherence is moderate. The schedule of the MCT needs to be adapted to the availability of the participants. At a descriptive level, the MCT allows to reduce psychotic and depressive symptoms (PANSS & Calgary) as well as to improve the social functioning (SOFAS & HoNOSCA) and self-esteem (Rosenberg). To sum up, MCT seem to be an interesting alternative and/or a good additional treatment to reduce cognitive bias, psychotic symptoms as well as improving social functioning

Workshop: Capacity building for national public health advocacy: case studies from national associations

The first statement of the EUPHA on the Future of Public Health in Europe refers to the need for going 'to policymakers, politicians and practitioners in all sectors of society and advise them on how to promote public health throughout society'. WHO-EURO Director General Marc Danzon, quoted in the second EUPHA statement on the responsibility of policy makers indicates that 'learning is not systematically applied in health policy development in our continent'. Statement 3 calls for the integration of public health into the political agenda in all sectors. The first EUPHA president, Louise Gunning-Schepers, quoted in Statement 10 called on EUPHA to become 'a powerful advocate of the public health community'. In addition to the above, the EU is now actively seeking ways to build capacity to implement its health strategy. Learning and building the capacity to achieve our aims The aims and objectives to promote the public's health as reflected in EUPHA's 10 statements are also mirrored in the national public health associations. However, many of EUPHA's national associations have little or limited experience in promoting public health policy at the national level. To assist in the learning of advocacy for public health policies, case studies presenting experiences of national public health organizations in lobbying for national public health policy will be presented and discussed. In addition to sharing experiences, the presentations will identify successful approaches to public health advocacy as well as lessons learned from unsuccessful attempts.

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.

Hemodialysis for cefepime intoxication: A case report

Introduction: We report a case of cefepime intoxication with acute severe neurologic symptoms, which was treated by temporary hemodialysis. Patients (or Materials) and Methods: Cefepime 2 g BID for endovascular prosthesis infection was prescribed to a frail, chronically ill 88-year-old woman with a serum creatinine of 199 μmol/L and an estimated creatinine clearance of 13 mL/min (Cockroft formula). Two days later, she was transferred to a neurocritical care unit because of acute aphasia, myoclonic jerks, and delirium with a Glasgow coma scale score of 12/15. The following day, in the absence of other causes, cefepime intoxication was hypothesized, and cefepime was withdrawn after a total of 7 doses = 14 g. Over the next 24 hours, two 3-hour hemodialysis (HD) sessions were performed under cefepime concentration monitoring. Results: Cefepime plasma levels were measured by liquid chromatography/ mass spectrometry. There is no validated reference range, but a study (Chapuis T et al, Critical Care, 2010) found a 50% risk of neurotoxicity with residual levels > 15 mg/L. In our patient, levels were 83.3 mg/L 10 hours after last dose, 24.1 mg/L immediately after the first HD session, 13.4 mg/L immediately before the second HD session, and 2.5 mg/L immediately after the second HD session. The patient made a full clinical recovery over the next 48 hours. The 70% to 80% fall in plasmatic levels observed during each HD session is in accordance with literature data (Schmaldienst S et al, Eur J Clin Pharmacol, 2000, and Manyor LM et al, Pharmacotherapy, 2008). According to kinetic simulation, cefepime dropped at a concentration < 15 mg/L 15 hours earlier with HD than it would have without. Conclusion: Neuropsychiatric adverse effects of beta-lactam antibiotics can be easily overlooked by clinicians. One should be especially cautious with their use in very old and frail patients in whom plasma creatinine poorly estimates renal function and cognitive impairment is highly prevalent. Temporary hemodialysis effectively clears cefepime, but its role in hastening clinical recovery may be limited.