90 research outputs found

    Moodivate: A self-help behavioral activation mobile app for utilization in primary care—Development and clinical considerations

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    Depressive symptoms are highly prevalent and are associated with considerable functional impairment, significant public health costs, and heightened mortality risk. Individuals experiencing impairment due to depressive symptomatology are most likely to report their symptoms to a primary care provider. As such, national guidelines highlight the need to assess and effectively treat depression via primary care. Despite these guidelines, the dissemination of evidence-based psychotherapy via primary care is limited, likely due to both provider- and patient-level treatment barriers. Mobile health (mHealth) technologies are promising for addressing these barriers and for promoting uptake of evidence-based depression treatment. Among evidence-based psychotherapies for depression, brief Behavioral Activation Treatment for Depression (BATD) has shown great promise and is particularly amenable to mHealth delivery. Herein, we discuss the development of a BATD mobile application, Moodivate, that was developed in order to disseminate BATD via primary care. This paper focuses on description of (1) rationale for Moodivate treatment development, (2) Moodivate treatment components, (3) ongoing clinical trial evaluation of Moodivate, and (4) clinical considerations for incorporating Moodivate into clinical practice

    Pain assessment for individuals with advanced dementia in care homes: A systematic review

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    Pain is prevalent in older people, especially in those with advanced dementia who have communication impairments. Although pain is recognised to be present in this population, it is often under-assessed and ineffectively managed. The assessment of pain in advanced dementia is extremely challenging and complex, particularly in institutional settings such as care homes. This study systematically reviews the literature to examine and characterise the evidence for the use of pain assessment tools in care homes with individuals living with advanced dementia. Relevant publications were sourced from electronic bibliometric medical databases including AMED, CINAHL Plus, Medline, PsycINFO, EMBASE, TRIP Pro, Google Scholar, and HINARI. The database search was supplemented by screening citations and reference lists, in addition to a grey literature searches. The search identified 2221 studies, among which 26 were included in the review. The majority of the studies were observational, which created a rich source of data to create four major themes. The findings were informed and shaped by working with key stakeholders to develop a conceptual model that can contribute to developing evidence-based practice. This highlights the importance of a comprehensive, multi-disciplinary approach to pain assessment in this population, which is beyond the use of tools

    Eosinophil deficiency promotes aberrant repair and adverse remodelling following acute myocardial infarction

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    In ST-segment elevation myocardial infarction of both patients and mice, there was a decline in blood eosinophil count, with activated eosinophils recruited to the infarct zone. Eosinophil deficiency resulted in attenuated anti-inflammatory macrophage polarization, enhanced myocardial inflammation, increased scar size, and deterioration of myocardial structure and function. Adverse cardiac remodeling in the setting of eosinophil deficiency was prevented by interleukin-4 therapy

    Black Box 2020

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    The Black Box is a student based creative publication serving the Embry-Riddle Prescott campus. It is our goal to provide a showcase for the creativity and talent of the Embry-Riddle students. Creative works by members of Embry-Riddle\u27s faculty and staff are included

    Early PREdiction of sepsis using leukocyte surface biomarkers: the ExPRES-sepsis cohort study.

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    PURPOSE: Reliable biomarkers for predicting subsequent sepsis among patients with suspected acute infection are lacking. In patients presenting to emergency departments (EDs) with suspected acute infection, we aimed to evaluate the reliability and discriminant ability of 47 leukocyte biomarkers as predictors of sepsis (Sequential Organ Failure Assessment score ≥ 2 at 24 h and/or 72 h following ED presentation). METHODS: In a multi-centre cohort study in four EDs and intensive care units (ICUs), we standardised flow-cytometric leukocyte biomarker measurement and compared patients with suspected acute infection (cohort-1) with two comparator cohorts: ICU patients with established sepsis (cohort-2), and ED patients without infection or systemic inflammation but requiring hospitalization (cohort-3). RESULTS: Between January 2014 and February 2016, we recruited 272, 59 and 75 patients to cohorts 1, 2, and 3, respectively. Of 47 leukocyte biomarkers, 14 were non-reliable, and 17 did not discriminate between the three cohorts. Discriminant analyses for predicting sepsis within cohort-1 were undertaken for eight neutrophil (cluster of differentiation antigens (CD) CD15; CD24; CD35; CD64; CD312; CD11b; CD274; CD279), seven monocyte (CD35; CD64; CD312; CD11b; HLA-DR; CD274; CD279) and a CD8 T-lymphocyte biomarker (CD279). Individually, only higher neutrophil CD279 [OR 1.78 (95% CI 1.23-2.57); P = 0.002], higher monocyte CD279 [1.32 (1.03-1.70); P = 0.03], and lower monocyte HLA-DR [0.73 (0.55-0.97); P = 0.03] expression were associated with subsequent sepsis. With logistic regression the optimum biomarker combination was increased neutrophil CD24 and neutrophil CD279, and reduced monocyte HLA-DR expression, but no combination had clinically relevant predictive validity. CONCLUSIONS: From a large panel of leukocyte biomarkers, immunosuppression biomarkers were associated with subsequent sepsis in ED patients with suspected acute infection. CLINICAL TRIAL REGISTRATION: NCT02188992.The study was funded by Innovate UK (Sepsis 2: 101193). Dr Shankar-Hari is supported by the National Institute for Health Research Clinician Scientist Award (CS-2016-16-011). Dr Conway Morris is supported by a Clinical Research Career Development Fellowship from the Wellcome Trust (WT 2055214/Z/16/Z)
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