PubMed · 14017593
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C A CACERES. 1963. Electrocardiographic analysis by a computer system.. https://doi.org/10.1001/archinte.1963.03620260056010
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BACKGROUND: A substantial proportion of multiple sclerosis (MS) patients discontinue interferon-beta (IFNbeta) treatment due to various adverse effects, most of which emerge at the early phase after initiation of the treatment and then diminish with time. At present, the molecular mechanism underlying IFNbeta-related adverse effects remains largely unknown. The aim of this study is to identify a comprehensive list of early IFNbeta-responsive genes (IRGs) in peripheral blood mononuclear cells (PBMC) that may play a key role in induction of adverse effects. METHODS: Total RNA of PBMC exposed to 50 ng/ml recombinant human IFNbeta for 3 to 24 hours in vitro was processed for cDNA microarray analysis, followed by quantitative real-time RT-PCR analysis. RESULTS: Among 1,258 genes on the array, IFNbeta elevated the expression of 107 and 87 genes, while it reduced the expression of 22 and 23 genes at 3 and 24 hours, respectively. Upregulated IRGs were categorized into conventional IFN-response markers, components of IFN-signaling pathways, chemokines, cytokines, growth factors, and their receptors, regulators of apoptosis, DNA damage, and cell cycle, heat shock proteins, and costimulatory and adhesion molecules. IFNbeta markedly upregulated CXCR3 ligand chemokines (SCYB11, SCYB10 and SCYB9) chiefly active on effector T helper type 1 (Th1) T cells, and CCR2 ligand chemokines (SCYA8 and SCYA2) effective on monocytes, whereas it downregulated CXCR2 ligand chemokines (SCYB2, SCYB1 and IL8) primarily active on neutrophils. CONCLUSION: IFNbeta immediately induces a burst of gene expression of proinflammatory chemokines in vitro that have potential relevance to IFNbeta-related early adverse effects in MS patients in vivo.
BACKGROUND: Capacity constraints necessitate improving hospital efficiency. An integrated real time system facilitating patient flow between the post-anesthesia care unit (PACU) and surgical ward would ease PACU workload by reducing the effort of discharging patients. METHODS: We developed INCOMING!, a web-based platform that monitors patient progress from the operating room to the PACU. INCOMING! integrates available data, automatically determining when a patient enters the PACU. An automated paging system alerts clinical unit managers to 'pull' their patients from the PACU after a set recovery period. General surgery patients were included in the INCOMING! system in late 2004 with paging added in mid-March 2005. Mean PACU length of stay was calculated for the intervention group (general surgery patients with INCOMING!) and compared to a control group (general surgery patients without INCOMING!) and an orthopedic surgery group before and after paging. RESULTS: The system successfully gathers data and generates automated pages when events occur. After paging, there was a significant difference between the orthopedic surgery control group and the general surgery intervention group (235 min versus 185 min, P = 0.001). The mean PACU LOS decreased in the INCOMING! intervention group by 26 min while the mean LOS increased by 28 min in the general surgery control group (P = 0.27). CONCLUSION: Pilot implementation demonstrates that INCOMING! performs the desired integration and automatic notification. Given the minimal cost and potential large gains from a wider deployment, we plan to implement the system for all PACU patients and all post-PACU care units.
An elliptical microelectromechanical system (MEMS) membrane mirror is electrostatically actuated to dynamically adjust the optical beam focus and track the axial scanning of the coherence gate in a Doppler optical coherence tomography (DOCT) system at 8 kHz. The MEMS mirror is designed to maintain a constant numerical aperture of approximately 0.13 and a spot size of approximately 6.7 microm over an imaging depth of 1mm in water, which improves imaging performance in resolving microspheres in gel samples and Doppler shift estimation precision in a flow phantom. The mirror's small size (1.4 mm x 1 mm) will allow integration with endoscopic MEMS-DOCT for in vivo applications.