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Full-Text Articles in Medicine and Health Sciences
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
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
Sharone Green
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 …
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
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 …
Prediction Of Dengue Disease Severity Among Pediatric Thai Patients Using Early Clinical Laboratory Indicators, James A. Potts, Robert V. Gibbons, Alan L. Rothman, Anon Srikiatkhachorn, Stephen J. Thomas, Pra-On Supradish, Stephenie C. Lemon, Daniel H. Libraty, Sharone Green, Siripen Kalayanarooj
Prediction Of Dengue Disease Severity Among Pediatric Thai Patients Using Early Clinical Laboratory Indicators, James A. Potts, Robert V. Gibbons, Alan L. Rothman, Anon Srikiatkhachorn, Stephen J. Thomas, Pra-On Supradish, Stephenie C. Lemon, Daniel H. Libraty, Sharone Green, Siripen Kalayanarooj
Sharone Green
BACKGROUND: Dengue virus is endemic in tropical and sub-tropical resource-poor countries. Dengue illness can range from a nonspecific febrile illness to a severe disease, Dengue Shock Syndrome (DSS), in which patients develop circulatory failure. Earlier diagnosis of severe dengue illnesses would have a substantial impact on the allocation of health resources in endemic countries. METHODS AND FINDINGS: We compared clinical laboratory findings collected within 72 hours of fever onset from a prospective cohort children presenting to one of two hospitals (one urban and one rural) in Thailand. Classification and regression tree analysis was used to develop diagnostic algorithms using different …