Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

T Cell Receptor Vbeta Gene Usage In Thai Children With Dengue Virus Infection, Susan Gagnon, Anita Leporati, Sharone Green, Siripen Kalayanarooj, David Vaughn, Henry Stephens, Saroj Suntayakorn, Ichiro Kurane, Francis Ennis, Alan Rothman Aug 2014

T Cell Receptor Vbeta Gene Usage In Thai Children With Dengue Virus Infection, Susan Gagnon, Anita Leporati, Sharone Green, Siripen Kalayanarooj, David Vaughn, Henry Stephens, Saroj Suntayakorn, Ichiro Kurane, Francis Ennis, Alan Rothman

Alan Rothman

T lymphocyte activation during dengue is thought to contribute to the pathogenesis of dengue hemorrhagic fever (DHF). We examined the T cell receptor Vbeta gene usage by a reverse transcriptase-polymerase chain reaction assay during infection and after recovery in 13 children with DHF and 13 children with dengue fever (DF). There was no deletion of specific Vbeta gene families. We detected significant expansions in usage of single Vbeta families in six subjects with DHF and three subjects with DF over the course of infection, but these did not show an association with clinical diagnosis, viral serotype, or HLA alleles. Differences …


Classification Of Dengue Illness Based On Readily Available Laboratory Data, James Potts, Stephen Thomas, Anon Srikiatkhachorn, Pra-On Supradish, Wenjun Li, Ananda Nisalak, Suchitra Nimmannitya, Timothy Endy, Daniel Libraty, Robert Gibbons, Sharone Green, Alan Rothman, Siripen Kalayanarooj Aug 2014

Classification Of Dengue Illness Based On Readily Available Laboratory Data, James Potts, Stephen Thomas, Anon Srikiatkhachorn, Pra-On Supradish, Wenjun Li, Ananda Nisalak, Suchitra Nimmannitya, Timothy Endy, Daniel Libraty, Robert Gibbons, Sharone Green, Alan Rothman, Siripen Kalayanarooj

Alan Rothman

The aim of this study was to examine retrospective dengue-illness classification using only clinical laboratory data, without relying on X-ray, ultrasound, or percent hemoconcentration. We analyzed data from a study of children who presented with acute febrile illness to two hospitals in Thailand. Multivariable logistic regression models were used to distinguish: (1) dengue hemorrhagic fever (DHF) versus dengue fever (DF), (2) DHF versus DF + other febrile illness (OFI), (3) dengue versus OFI, and (4) severe dengue versus non-severe dengue + OFI. Data from the second hospital served as a validation set. There were 1,227 patients in the analysis. The …