A significant mortality gap - mainly associated with somatic comorbidities - was detected between patients with schizophrenia and individually matched controls. Improved medical training to address the disparity in mortality, and many other factors including lack of resources, access to and model of medical care, lifestyle, medication side effects, smoking, stigma, need for early intervention and adequate health care organization could help to better address the physical health needs of patients with schizophrenia.

Persistence is an important component of therapeutic success, which depends on a variety of factors. Persistence measured under optimal conditions during clinical trials does not necessarily coincide with persistence observed in the real-world settings. The aim of the present study was to compare persistence rate of TNF-alpha inhibitors and interleukin 12/23 inhibitor in all psoriasis patients in Hungary, as well as to analyze the predictors of persistence. Data collected from 1263 patients over a period of 46 months were subjected to a retrospective analysis. Drug survival rate has been calculated according to Kaplan-Meier analysis and Cox regression was used to study the predictors. The overall persistence rate for the four biologicals exceeded 60% after 3 years. The persistence rate of ustekinumab at 3 years was 67.83%, which was superior compared to that of the TNF-alpha inhibitors, where the mean persistence rate was shown to be 50.76% (p < .05). Male patients showed significantly higher persistence than females (HR ¼ .76, p < .05 CI: 0.63, 0.92). Age, therapy-naïve status and use of concomitant MTX did not have significant effect on drug survival. Persistence rate of ustekinumab was significantly higher than that of TNF-alpha inhibitors, and among predictors, only male gender influenced persistence significantly. ARTICLE HISTORY

Background Schizophrenia is a severe condition that affects approximately 1% of the population. Certain elements of antipsychotic treatment can only be examined in large population, thus the need for population-based real-world analyses has been increasing. Patients and methods Hungarian National Health Fund database includes all healthcare data of the population of Hungary. All patients diagnosed with schizophrenia between 01.01.2006 and 31.12.2015 were included in the study. We analyzed all patients with newly initiated second-generation antipsychotic during the inclusion period (01.01.2012–31.12.2013). Patients were followed for 2 years. All-cause treatment discontinuation served as the primary outcome of the study. Patients with newly initiated long-acting injectable treatments were further investigated in stratified analyses based on their previous treatment. Results 106,624 patients had schizophrenia diagnosis during the study period. 12,232 patients met the inclusion criteria for newly initiating second-generation antipsychotic during the inclusion period. The proportion of patients still on treatment after 1 year for oral treatments varied between 17% (oral risperidone) and 31% (oral olanzapine) while the analogous data for long acting injectables were between 32% (risperidone long acting) and 64% (paliperidone long acting one monthly). The 2-year data were similarly in favor of long-actings. Median time to discontinuation in the oral group varied between 57 days (clozapine) and 121 days (olanzapine). The median time to discontinuation for long-actings was significantly longer: between 176 and 287 days; in case of paliperidone long acting, median was not reached during the observation period. Patients receiving long-acting treatment switched from another long-acting remained on the newly initiated treatment significantly longer than those switched from orals. Conclusion Our results indicate the superiority of second generation long-acting antipsychotics with regard to rates of treatment discontinuation and periods of persistence to the assigned medication.

This paper presents applications of the peaks-over threshold methodology for both the univariate and the recently introduced bivariate case, combined with a novel bootstrap approach. We compare the proposed bootstrap methods to the more traditional profile likelihood.We have investigated 63 years of the European Climate Assessment daily precipitation data for five Hungarian grid points, first separately for the summer and winter months, then aiming at the detection of possible changes by investigating 20 years moving windows. We show that significant changes can be observed both in the univariate and the bivariate cases, the most recent period being the most dangerous, as the return levels here are the highest. We illustrate these effects by bivariate coverage regions.Keywords daily precipitation data · moving window · profile likelihood · return level · univariate and bivariate generalized Pareto distribution · weighted bootstrap 1 IntroductionDetection of signs for climate changes are in the focus of recent climatology. There is an abundance of publications in the area of temperature changes. Precipitation is equally important, if we consider its economic effect -here the extremes play an especially important role, since these are in

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