PubMed · 13775944
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M TER-POGOSSIAN, S LEDIN. 1960. Uranium x-ray grids.. https://doi.org/10.1148/75.5.797
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The diagnosis of coronary aneurysms has already been described using transthoracic and transesophageal echocardiography. In the present report we demonstrated the use of real-time three-dimensional echocardiography for the diagnosis of a large left circumflex coronary aneurysm. The improved spatial resolution of this new imaging technique provided valuable information for anatomic characterization of the coronary aneurysm, allowing for distinction between the lumen and lining thrombus. The findings were confirmed by magnetic resonance imaging and coronary angiography.
Immuno-PCR (IPCR) has been studied to increase the detection sensitivity of current enzyme-linked immuno-sorbent assays (ELISA) as a novel approach for the early detection of Rotavirus infection, a major source for serious diarrhoea for susceptible risk groups. IPCR utilizes specific antibody-DNA conjugates with subsequent amplification of the marker-DNA. An antibody-DNA conjugate specific for Rotavirus antigen VP6 was synthesized and used in combination with a commercially available Rotavirus-ELISA kit. IPCR was carried out using reagents and protocols of the standardized Imperacer system. Real-time PCR monitoring of the marker-DNA amplification was compared to endpoint quantification of amplified haptene-labeled PCR products, using a microtiterplate-based PCR-ELISA. In spiked calibration samples, as few as 100 virus particles/ml could be clearly detected using the IPCR method and either real-time or end-point quantification compared to about 100,000 virus particles/ml in ELISA. Rotavirus positive and negative stool samples were correctly identified by IPCR with a clear separation even of a 10,000-fold dilution of the positive stool samples from the negative control.
Mechanical ventilators are designed to generate alarms when patients become disconnected or experience other critical ventilator events. However, these alarms can blend in with other accustomed sounds of the intensive care unit. Ventilator alarms that go unnoticed for extended periods of time often result in permanent patient harm or death. We developed a system to monitor critical ventilator events through our existing hospital network. Whenever an event is identified, the new system takes control of every computer in the patient's intensive care unit and generates an enhanced audio and visual alert indicating that there is a critical ventilator event and identifies the room number. Once the alert is acknowledged or the event is corrected, all the computers are restored back to the pre-alert status and/or application. This paper describes the development and implementation of this system and reports the initial results, user acceptance, and the increase in valuable information and patient safety.