Pituitary pathology and gene expression in acromegalic cats

© 2019 Endocrine Society. The prevalence of GH-secreting pituitary tumors in domestic cats (Felis catus) is 10-fold greater than in humans. The predominant inhibitory receptors of GH-secreting pituitary tumors are somatostatin receptors (SSTRs) and D2 dopamine receptor (DRD2). The expression of these receptors is associated with the response to somatostatin analog and dopamine agonist treatment in human patients with acromegaly. The aim of this study was to describe pathological features of pituitaries from domestic cats with acromegaly, pituitary receptor expression, and investigate correlates with clinical data, including pituitary volume, time since diagnosis of diabetes, insulin requirement, and serum IGF1 concentration. Loss of reticulin structure was identified in 15 of 21 pituitaries, of which 10 of 15 exhibited acinar hyperplasia. SSTR1, SSTR2, SSTR5, and DRD2 mRNA were identified in the feline pituitary whereas SSTR3 and SSTR4 were not. Expression of SSTR1, SSTR2, and SSTR5 was greater in acromegalic cats compared with controls. A negative correlation was identified between DRD2 mRNA expression and pituitary volume. The loss of DRD2 expression should be investigated as a mechanism allowing the development of larger pituitary tumors

Multiple sclerosis outpatient future groups: improving the quality of participant interaction and ideation tools within service improvement activities

BackgroundImproving the patient experience is a key focus within the National Health Service. This has led us to consider how health services are experienced, from both staff and patient perspectives. Novel service improvement activities bring staff and patients together to use design-led methods to improve how health services are delivered. The Multiple Sclerosis Outpatient Future Group study aimed to explore how analogies and props can be used to facilitate rich interactions between staff and patients within these activities. This paper will consider how these interactions supported participants to share experiences, generate ideas and suggest service improvements. MethodQualitative explorative study using ‘future groups,’ a reinterpretation of the recognised focus groups method directed towards exploring future alternatives through employing analogies and physical props to engage participants to speculate about future service interactions and health experiences. Participants were people with multiple sclerosis (PwMS) and outpatient staff: staff nurses, nursing assistants, junior sisters and reception staff. ResultsUse of future groups, analogies and physical props enabled PwMS and outpatient staff to invest their own ideas and feelings in the service improvement activity and envisage alternative health care scenarios. The combination of participants in the groups with their diverse perspectives and knowledge of the service led to a collaborative approach in which staff highlighted potential practical problems and patients ensured ideas were holistic. Service improvements were prototyped and tested in the outpatient clinic. ConclusionDesign-led methods such as future groups using analogies and physical props can be used to facilitate interactions between staff and patients in service improvement activities, leading to the generation of meaningful ideas. It is hoped that improving the quality of ideation tools within design-led methods can contribute to developing successful service interventions in service improvement activities. <br/

20-Year Risks of Breast-Cancer Recurrence after Stopping Endocrine Therapy at 5 Years

The administration of endocrine therapy for 5 years substantially reduces recurrence rates during and after treatment in women with early-stage, estrogen-receptor (ER)-positive breast cancer. Extending such therapy beyond 5 years offers further protection but has additional side effects. Obtaining data on the absolute risk of subsequent distant recurrence if therapy stops at 5 years could help determine whether to extend treatment

A Supervised Learning Model for the Automatic Assessment of Language Levels Based on Learner Errors

International audienceThis paper focuses on the use of technology in language learning. Language training requires the need to group learners homogeneously and to provide them with instant feedback on their productions such as errors [8, 15, 17] or proficiency levels. A possible approach is to assess writings from students and assign them with a level. This paper analyses the possibility of automatically predicting Common European Framework of Reference (CEFR) language levels on the basis of manually annotated errors in a written learner corpus [9, 11]. The research question is to evaluate the predictive power of errors in terms of levels and to identify which error types appear to be criterial features in determining interlanguage stages. Results show that specific errors such as punctuation, spelling and verb tense are significant at specific CEFR levels