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Despite renewed interest in drop‐out from eating disorders treatment, few studies have investigated the issue in respect to the most expensive and intensive form of treatment, that is, inpatient treatment for anorexia nervosa (AN). This study investigates whether risk of treatment drop‐out can be determined from information routinely collected at point of admission. Using information from a multi‐site database collected in Australia and New Zealand, demographic and clinical data at point of admission were collated for 213 inpatient treatment episodes. One in five admissions ended with the patient unilaterally deciding to leave treatment without clinician endorsement. A lower body mass index, AN purging subtype and active fluid restriction made significant independent contributions to this risk. Drop‐out remains a highly disruptive method of discharge and while there is utility in predicting those most at risk, few variables commonly collated by clinicians contribute to their identification. The implications for clinical practice and future research are discussed. Copyright © 2003 John Wiley & Sons, Ltd and Eating Disorders Association.  相似文献   
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Purpose of Review

To highlight recent findings from studies of sleep in type 1 diabetes (T1D), with a focus on the role of sleep in self-management, the cognitive and psychosocial outcomes related to sleep disturbances, and factors associated with sleep disturbances specific to T1D.

Recent Findings

People with T1D experience higher rates of sleep disturbances than people without diabetes, and these disturbances have negative implications for glycemic control and diabetes management, as well as psychosocial and cognitive outcomes. Inconsistent sleep timing (bedtime and wake time) has emerged as a potential target for interventions, as variability in sleep timing has been linked with poorer glycemic control and adherence to treatment. Sleep-promoting interventions and new diabetes technology have the potential to improve sleep in people with T1D.

Summary

Sleep is increasingly considered a critical factor in diabetes management, but more multi-method and longitudinal research is needed. We emphasize the importance of sufficient and consistent sleep for people with T1D, and the need for providers to routinely assess sleep among patients with T1D.
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Pseudomonas syringae strains deliver variable numbers of type III effector proteins into plant cells during infection. These proteins are required for virulence, because strains incapable of delivering them are nonpathogenic. We implemented a whole-genome, high-throughput screen for identifying P. syringae type III effector genes. The screen relied on FACS and an arabinose-inducible hrpL sigma factor to automate the identification and cloning of HrpL-regulated genes. We determined whether candidate genes encode type III effector proteins by creating and testing full-length protein fusions to a reporter called Delta79AvrRpt2 that, when fused to known type III effector proteins, is translocated and elicits a hypersensitive response in leaves of Arabidopsis thaliana expressing the RPS2 plant disease resistance protein. Delta79AvrRpt2 is thus a marker for type III secretion system-dependent translocation, the most critical criterion for defining type III effector proteins. We describe our screen and the collection of type III effector proteins from two pathovars of P. syringae. This stringent functional criteria defined 29 type III proteins from P. syringae pv. tomato, and 19 from P. syringae pv. phaseolicola race 6. Our data provide full functional annotation of the hrpL-dependent type III effector suites from two sequenced P. syringae pathovars and show that type III effector protein suites are highly variable in this pathogen, presumably reflecting the evolutionary selection imposed by the various host plants.  相似文献   
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