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- Title
Classification of dengue illness based on readily available laboratory data.
- Authors
Potts, James A; Thomas, Stephen J; Srikiatkhachorn, Anon; Supradish, Pra-on; Li, Wenjun; Nisalak, Ananda; Nimmannitya, Suchitra; Endy, Timothy P; Libraty, Daniel H; Gibbons, Robert V; Green, Sharone; Rothman, Alan L; Kalayanarooj, Siripen
- Abstract
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 sensitivity of the models ranged from 89.2% (dengue versus OFI) to 79.6% (DHF versus DF). The models showed high sensitivity in the validation dataset. These models could be used to calculate a probability and classify patients based on readily available clinical laboratory data, and they will need to be validated in other dengue-endemic regions.
- Publication
The American journal of tropical medicine and hygiene, 2010, Vol 83, Issue 4, p781
- ISSN
1476-1645
- Publication type
Journal Article
- DOI
10.4269/ajtmh.2010.10-0135