Appropriate drug treatment for status epilepticus does not influence its prognosis

Objective: Status epilepticus (SE) prognosis, is mostly related to non-modifiable factors (especially age, etiology), but the specific role of treatment appropriateness (TA) has not been investigated. Methods: In a prospective cohort with incident SE (excluding postanoxic), TA was defined, after recent European recommendations, in terms of drug dosage (630% deviation) and sequence. Outcome at hospital discharge was categorized into mortality, new handicap, or return to baseline. Results: Among 225 adults, treatment was inappropriate in 37%. In univariate analyses, age, etiology, SE severity and comorbidity, but not TA, were significantly related to outcome. Etiology (95% CI 4.3-82.8) and SE severity (95% CI 1.2-2.4) were independent predictors of mortality, and of lack of return to baseline conditions (etiology: 95% CI 3.9-14.0; SE severity: 95% CI 1.4-2.2). Moreover, TA did not improve outcome prediction in the corresponding ROC curves. Conclusions: This large analysis suggests that TA plays a negligible prognostic role in SE, probably reflecting the outstanding importance of the biological background. Awaiting treatment trials in SE, it appears questionable to apply further resources in refining treatment protocols involving existing compounds; rather, new therapeutic approaches should be identified and tested.

Appropriate end-points for right results in the age of antiangiogenic agents: Future options for phase II trials in patients with recurrent glioblastoma.

The progression-free survival rate at 6months (PFS-6) has long been considered the best end-point for assessing the efficacy of new agents in phase II trials in patients with recurrent glioblastoma. However, due to the introduction of antiangiogenic agents in this setting, and their intrinsic propensity to alter neuroradiological disease assessment by producing pseudoregression, any end-point based on neuroradiological modifications should be reconsidered. Further, statistically significant effects on progression-free survival (PFS) only should not automatically be considered reliable evidence of meaningful clinical benefit. In this context, because of its direct and unquestionable clinical relevance, overall survival (OS) represents the gold standard end-point for measuring clinical efficacy, despite the disadvantage that it is influenced by subsequent therapies and usually takes longer time to be evaluated. Therefore, while awaiting novel imaging criteria for response evaluation and/or new imaging tools to distinguish between 'true' and 'pseudo'-responses to antiangiogenic agents, the measurement of OS or OS rates should be considered primary end-points, also in phase II trials with these agents.

Patterns of Subject Mix in Higher Education Institutions : A First Empirical Analysis Using the AQUAMETH Database

Teaching and research are organised differently between subject domains: attempts to construct typologies of higher education institutions, however, often do not include quantitative indicators concerning subject mix which would allow systematic comparisons of large numbers of higher education institutions among different countries, as the availability of data for such indicators is limited. In this paper, we present an exploratory approach for the construction of such indicators. The database constructed in the AQUAMETH project, which includes also data disaggregated at the disciplinary level, is explored with the aim of understanding patterns of subject mix. For six European countries, an exploratory and descriptive analysis of staff composition divided in four large domains (medical sciences, engineering and technology, natural sciences and social sciences and humanities) is performed, which leads to a classification distinguishing between specialist and generalist institutions. Among the latter, a further distinction is made based on the presence or absence of a medical department. Preliminary exploration of this classification and its comparison with other indicators show the influence of long term dynamics on the subject mix of individual higher education institutions, but also underline disciplinary differences, for example regarding student to staff ratios, as well as national patterns, for example regarding the number of PhD degrees per 100 undergraduate students. Despite its many limitations, this exploratory approach allows defining a classification of higher education institutions that accounts for a large share of differences between the analysed higher education institutions.