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Psittacidae are frequently bred as pets worldwide, but little is known about the zoonotic risks of these animals. The objective of this study was to investigate the presence of Shiga toxin-producing Escherichia coli (STEC) in the feces of psittacine birds housed as pets. A total of 171 fecal samples (67 cockatiels, 59 budgerigars, and 45 agapornis) were cultured. Forty-two (E. coli) strains were identified, and the presence of the eae, stx1, and stx2 genes was determined using PCR. The antimicrobial resistance profiles of the STEC strains were determined using the disk diffusion method and phylogenetic analysis according to the new Clermont phylotyping method. Using these methods, 19.4% (8/42) of the STEC strains were determined to be positive for the eae and stx2 genes. The results revealed a STEC frequency of 4.6% in the birds (8/171), with a percentage of 8.47% in budgerigars (5/59), 4.47% in cockatiels (3/67), and 0% in agapornis (0/45). None of the STEC isolates belonged to the O157 serogroup. Most of the strains were classified as sensitive to the 18 antibiotics tested. None of the strains exhibited a multiresistance profile. In the phylogenetic analysis, two strains were classified as non-typeable, three were classified as B2, two were classified as F, and one was classified as Clade I. Seven of the eight STEC strains showed a clonal profile using AFLP. E. coli strains that are stx2(+) plus eae(+) are usually associated with severe human diseases such as hemorrhagic colitis and hemolytic-uremic syndrome. The STEC-positive results indicate the zoonotic risk of breeding psittacidae in home environments., (Copyright © 2016 Elsevier B.V. All rights reserved.)

In patients with haemophilia A knowledge of the pathogenetic mutation is important i) as basis for carrier diagnosis and ii) for risk estimation of inhibitor formation. The pathogenetic mutations were identified by testing inversions in intron 1 and 22 (IVS22 and IVS1) and sequencing part of the promoter, the coding region and the exon/intron boundaries in a cohort of Austrian haemophilia A patients. A total of 239 patients from nine participating centres, who had consented to genetic testing and of whom clinical information was available were included in the study. First, IVS22 and IVS1 were tested; in case of absence of either inversion patients were subjected to sequencing. Mutations within the FVIII gene were identified in 234 patients. Notably, 53 mutations had not previously been described in HAMSTeRS. Of our patient cohort, 72.5 % had either an IVS22 or a missense mutation. Interestingly, in three brothers with severe haemophilia, we found a double mutation in exon 14 (missense + small deletion). The spectrum of mutations in Austrian haemophilia A patients was comparable to that found in the German and Italian population; however, it differed from the spectrum reported in the UK. In conclusion, 53 not previously published mutations were identified in Austrian haemophilia A patients. The occurrence of double mutations in the factor VIII gene could be confirmed and their low frequency was corroborated. We speculate that the differences between mutations in Austria and other European countries are due to ethnic diversity. Detailed investigations of the association of ethnicity and the mutation spectrum are planned.

The treatment of haemophilia requires continuous development of knowledge related to various aspects of diagnosis and therapy. It is, therefore, essential to collect valid and representative data, which are comparable on an international level. The Austrian Haemophilia Registry was set up by the Scientific Advisory Panel of the Austrian Haemophilia Society and by the patient organisation. For the design, it was decided to divide the registry into three sections, two concerning quality control and a third concerning scientific questions, the latter requiring written informed consent. A web-based software is used to collect data. Transfer and storage of data are secured and the server is situated in a computer center with video and access control. Data entry was initiated early 2008. Currently, only preliminary data are available. Our further focus is on continued data entry, which will further enable us to provide information concerning the characteristics of the haemophilia patient population in Austria and the actual treatment modalities used.

Background: Several studies postulate that psychological conditions may contribute to the link between low relative income and poor health, but no one has directly tested the relationship between relative deprivation and mental health disorders. In this paper, we investigate whether low income relative to a reference group is associated with a higher probability of depressive disorders or anxiety disorders. Reference groups are defined using groups of individuals with similar demographic and geographic characteristics. We hypothesize that perceptions of low social status relative to one's reference group might lead to worse health outcomes., Aims: We attempt to determine whether an individual's income status relative to a reference group affects mental health outcomes. Our contributions to the literature include (i) defining reference groups using demographic characteristics in addition to geographic area, (ii) looking at an individual's relative income status rather than low income or aggregate-level income inequality, and (iii) focusing specifically on mental-health related outcomes., Methods: Our primary data source is the national household survey component of HealthCare for Communities (HCC), funded by the Robert Wood Johnson Foundation to track the effects of the changing health care system on individuals at risk for alcohol, drug abuse, or mental health disorders. HCC is a complement to the Community Tracking Survey (CTS) and reinterviews participants of the main study. To construct relative deprivation measures, we used data from the 5% Public Use Micro Data Sample of the 2000 Census. Our measure of relative deprivation is defined using Yitzhaki's index, a term that measures the expected income difference between an individual and others in his or her reference group that are more affluent. We evaluate the relationship between relative deprivation and mental health using conditional logit models with reference group random effects., Results: Even after controlling for an individual's absolute income status, those with low relative income are at higher risk of experiencing a mental health disorder. Our findings hold for both depressive disorders and anxiety/panic disorders., Discussion and Limitations: Our findings suggest that relative deprivation is associated with an increased likelihood of probable depression and anxiety or panic disorders. Simulations suggest that a 25 percent decrease in relative deprivation could decrease the probability of any likely mental health disorder by as much as 9.5 percent. Limitations of this study include the fact that we only have one measure of relative deprivation, and that reference groups are defined using relatively large geographic areas., Implications for Health Policy: Low relative income may contribute to socioeconomic disparities in mental health. Efforts to eradicate socioeconomic differentials should take into account psychological perceptions and self-esteem in addition to absolute material resources., Implications for Future Research: Future work should explore whether mental health disorders explain the link between relative deprivation and poor physical health.