Background: Studies have reported differing frequencies of detection of polyomavirus simian virus 40 (SV40) in association with human lymphomas.
Objective: We addressed the hypothesis that SV40 positivity in lymphomas can vary among sampled populations.
Study Design: Archival paraffin-embedded lymphoma specimens (n=171) from patients at two urban hospitals in Houston, TX, USA, were analyzed following a cross-sectional study design.
Background: Current massive transfusion guidelines are derived from washout equations that may not apply to bleeding trauma patients. Our aim was to analyze these guidelines using a computer simulation.
Methods: A combined hemodilution and hemodynamic model of an exsanguinating patient was developed to calculate the changes in prothrombin time (PT), fibrinogen, and platelets with bleeding.
Background: Iatrogenic infection of immunosuppressed or immunocompromised hosts secondary to receipt of blood components containing bacteria may result in serious adverse outcomes. Measurement of pH and glucose by use of inexpensive reagent strips has been proposed as a practical means of screening for bacteria in platelet concentrate (PC) units.
Study Design And Methods: Glucose and pH were measured in 3093 PC units by use of reagent strips (Multistix, Bayer Corp.
The interpretation of immunophenotyping results by flow cytometry involves pattern recognition of different haematologic neoplasms that may have similar immunologic marker patterns. The numerous markers available in the flow cytometry laboratory make these patterns difficult to remember, especially for those of uncommon neoplasms. We describe the design and implementation of a Web-based database for diagnosis of haematologic neoplasms using results of immunophenotyping by flow cytometry.
View Article and Find Full Text PDFWe describe the implementation of a Java-based application for differential diagnosis of hematopoietic neoplasms using immunophenotyping by flow cytometry. The current version of this Java applet includes the knowledge-base for 33 hematopoietic neoplasms and 43 diagnostic immunophenotyping markers. Java, a new object-oriented computing language, helps facilitate development of this applet, a platform-independent module that can be implemented on the World Wide Web.
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