期刊
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE
卷 83, 期 4, 页码 781-788出版社
AMER SOC TROP MED & HYGIENE
DOI: 10.4269/ajtmh.2010.10-0135
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资金
- National Institutes of Health [NIH-P01A134533]
- Centers for Disease Control and Prevention Office of the Director [1R36CK00123-01]
- Military Infectious Disease Research Program
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 OF!) 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.
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