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Recent findings suggest that brief dialectical behavior therapy (DBT) for borderline personality disorder is effective for reducing self-harm, but it remains unknown which patients are likely to improve in brief v. 12 months of DBT. Research is needed to identify patient characteristics that moderate outcomes. Here, we characterized changes in cognition across brief DBT (DBT-6) v. a standard 12-month course (DBT-12) and examined whether cognition predicted self-harm outcomes in each arm.
Methods
In this secondary analysis of 240 participants in the FASTER study (NCT02387736), cognitive measures were administered at pre-treatment, after 6 months, and at 12 months. Self-harm was assessed from pre-treatment to 2-year follow-up. Multilevel models characterized changes in cognition across treatment. Generalized estimating equations examined whether pre-treatment cognitive performance predicted self-harm outcomes in each arm.
Results
Cognitive performance improved in both arms after 6 months of treatment, with no between-arm differences at 12-months. Pre-treatment inhibitory control was associated with different self-harm outcomes in DBT-6 v. DBT-12. For participants with average inhibitory control, self-harm outcomes were significantly better when assigned to DBT-12, relative to DBT-6, at 9–18 months after initiating treatment. In contrast, participants with poor inhibitory control showed better self-harm outcomes when assigned to brief DBT-6 v. DBT-12, at 12–24 months after initiating treatment.
Conclusions
This work represents an initial step toward an improved understanding of patient profiles that are best suited to briefer v. standard 12 months of DBT, but observed effects should be replicated in a waitlist-controlled study to confirm that they were treatment-specific.
Describe common pathogens and antimicrobial resistance patterns for healthcare-associated infections (HAIs) that occurred during 2015–2017 and were reported to the Centers for Disease Control and Prevention’s (CDC’s) National Healthcare Safety Network (NHSN).
Methods:
Data from central line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), ventilator-associated events (VAEs), and surgical site infections (SSIs) were reported from acute-care hospitals, long-term acute-care hospitals, and inpatient rehabilitation facilities. This analysis included device-associated HAIs reported from adult location types, and SSIs among patients ≥18 years old. Percentages of pathogens with nonsusceptibility (%NS) to selected antimicrobials were calculated for each HAI type, location type, surgical category, and surgical wound closure technique.
Results:
Overall, 5,626 facilities performed adult HAI surveillance during this period, most of which were general acute-care hospitals with <200 beds. Escherichia coli (18%), Staphylococcus aureus (12%), and Klebsiella spp (9%) were the 3 most frequently reported pathogens. Pathogens varied by HAI and location type, with oncology units having a distinct pathogen distribution compared to other settings. The %NS for most pathogens was significantly higher among device-associated HAIs than SSIs. In addition, pathogens from long-term acute-care hospitals had a significantly higher %NS than those from general hospital wards.
Conclusions:
This report provides an updated national summary of pathogen distributions and antimicrobial resistance among select HAIs and pathogens, stratified by several factors. These data underscore the importance of tracking antimicrobial resistance, particularly in vulnerable populations such as long-term acute-care hospitals and intensive care units.
To describe common pathogens and antimicrobial resistance patterns for healthcare-associated infections (HAIs) among pediatric patients that occurred in 2015–2017 and were reported to the Centers for Disease Control and Prevention’s National Healthcare Safety Network (NHSN).
Methods:
Antimicrobial resistance data were analyzed for pathogens implicated in central line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), ventilator-associated pneumonias (VAPs), and surgical site infections (SSIs). This analysis was restricted to device-associated HAIs reported from pediatric patient care locations and SSIs among patients <18 years old. Percentages of pathogens with nonsusceptibility (%NS) to selected antimicrobials were calculated by HAI type, location type, and surgical category.
Results:
Overall, 2,545 facilities performed surveillance of pediatric HAIs in the NHSN during this period. Staphylococcus aureus (15%), Escherichia coli (12%), and coagulase-negative staphylococci (12%) were the 3 most commonly reported pathogens associated with pediatric HAIs. Pathogens and the %NS varied by HAI type, location type, and/or surgical category. Among CLABSIs, the %NS was generally lowest in neonatal intensive care units and highest in pediatric oncology units. Staphylococcus spp were particularly common among orthopedic, neurosurgical, and cardiac SSIs; however, E. coli was more common in abdominal SSIs. Overall, antimicrobial nonsusceptibility was less prevalent in pediatric HAIs than in adult HAIs.
Conclusion:
This report provides an updated national summary of pathogen distributions and antimicrobial resistance patterns among pediatric HAIs. These data highlight the need for continued antimicrobial resistance tracking among pediatric patients and should encourage the pediatric healthcare community to use such data when establishing policies for infection prevention and antimicrobial stewardship.
Using semi-structured interviews in the Foothills Parklands Natural Region of Alberta, we explore the meanings of coexistence with coyotes. Within our case study we examine the worldviews defining a spectrum of treatment of coyotes. The continuum extends from: adoration (deep love and respect) to admiration (respect and warm approval), acceptance (appropriate within the ecosystem), ambivalence (mixed feelings, contradictory ideas – neutral), aversion (strong dislike or disinclination), antagonism (active hostility or opposition) to the extreme of annihilation (destroy completely – kill). The disparity in treatment of coyotes we observed was not explained simply as an urban versus rural dichotomy. Yet we document an emergent discourse described as an urban value landscape transgressing the agricultural one, undermining long-held practices of antagonistic killing and annihilation. We explore the experiences that underlie anti-killing sentiments and how understanding these may improve education, support management and inform policy change.
Connectivity has emerged as an important ecological concept relating to how animals move among habitat patches in fragmented environments. Although connectivity is often considered landscape- and species-specific (Tischendorf and Fahrig 2000; Taylor et al. Chapter 2), fundamental ecological and physical processes influence movements of all species. Taylor et al. (1993) define connectivity as “the degree to which the landscape facilitates or impedes movement among resource patches.” Most research, however, has centered on impediments to movement. For example, Tischendorf and Fahrig (2000) argue that landscape connectivity is “essentially equivalent to the inverse of patch isolation over the landscape.” Herein we examine landscape and resource features that not only potentially impede (i.e., isolation) but also might facilitate (i.e., availability of food) movement of wolves (Canis lupus) using coastal islands in British Columbia, Canada.
Investigations of oceanic archipelagos have revealed how island communities and species composition are related to area, isolation, and other island characteristics (e.g., MacArthur and Wilson 1967; Abbott 1974; Kadmon and Pulliam 1993; Conroy et al. 1999). Biogeographic features, however, may also exert influence at the population level, including the mediation of predator–prey dynamics on islands or in other fragmented systems (Kareiva 1990; Kareiva and Wennergren 1995; Dolman and Sutherland 1997; Darimont et al. 2004). The equilibrium theory of island biogeography (MacArthur and Wilson 1967) and metapopulation theory (Levins 1976; Gilpin and Hanski 1991; Hanski and Gilpin 1996; Moilanen and Hanski Chapter 3) postulated several abiotic mechanisms explaining animal distribution and population persistence in patchy landscapes.
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