Publications by authors named "E Stucky"

Astroglia are well known for their role in propagating secondary injury following brain trauma. Modulation of this injury cascade, including inflammation, is essential to repair and recovery. Mesenchymal stromal cells (MSCs) have been demonstrated as trophic mediators in several models of secondary CNS injury, however, there has been varied success with the use of direct implantation due to a failure to persist at the injury site.

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Background Aims: Modulation of inflammation after brain trauma is a key therapeutic goal aimed at limiting the consequences of the subsequent injury cascade. Mesenchymal stromal cells (MSCs) have been demonstrated to dynamically regulate the inflammatory environment in several tissue systems, including the central nervous system. There has been limited success, however, with the use of direct implantation of cells in the brain caused by low viability and engraftment at the injury site.

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Immunoassays are widely utilized due to their ability to quantify a vast assortment of biomolecules relevant to biological research and clinical diagnostics. Recently, immunoassay capabilities have been improved by the development of multiplex assays that simultaneously measure multiple analytes in a single sample. However, these assays are hindered by high costs of reagents and relatively large sample requirements.

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Background: No standard management plan for infants with an apparent life-threatening event (ALTE) currently exists. These infants are routinely hospitalized. Benefits of hospitalization of ALTE patients with gastroesophageal reflux disease (GERD) need definition.

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Ecological momentary assessment methods were used to examine real-time relationships between work environment factors and stress in a sample of 119 registered nurses (RNs) in acute and critical care settings of three hospitals. The RNs carried handheld computers for 1 week of work shifts and were randomly surveyed within 90-min intervals to self-report work activity, perceived workload, and stress. Mixed effects linear regression analyses were completed to predict the stress score in the sample.

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