Journal of Biomedical Science · 2015 · 25 citations · 23 references
Veterinary MedicineInfectious Disease ControlInfectious DiseasesEmerging Infectious DiseasesMolecular DiagnosticsVirologyAntigen Detection AssaysDiagnosticsMosquito-borne DiseasesSerological DiagnosticsTropical MedicineViral DiagnosticsAntibodiesDengue FeverDengue Hemorrhagic FeverEarly DiagnosisMosquito-borne Disease DiagnosisMosquito-borne Viral ZoonosesRapid Diagnostic AssaysTropical Disease Diagnostics
BACKGROUND: Dengue is an important mosquito-borne viral infection that affects millions of persons worldwide. Early diagnosis is necessary to effect appropriate management and decrease mortality. Immunochromatographic tests are advantageous in producing dengue test results within 30 min but these results should be sensitive and specific. In this study we evaluated the diagnostic performance of the SD BIOLINE Dengue DUO® rapid immunochromatographic test kit. A panel of 309 dengue and 30 non-dengue single serum samples characterized by using reference enzyme-linked immunosorbent assays (ELISAs) was used. These samples were received in the virology laboratory for routine testing during a dengue type 1 outbreak between October to December, 2012. RESULTS: The overall diagnostic sensitivities of the SD BIOLINE Dengue DUO® rapid testfor IgM, IgG and NSI were 49.3% (95% CI: 41.3-57.4), 39.1% (95% CI: 33.3-45.2) and 90% (95% CI: 82.1-94.7), respectively. The IgM and IgG detection rates were significantly lower than that of the NSI (p < 0.001). However the combination of the IgM detection with NS1 detection or both NS1 and IgG resulted in a significant (p < 0.001) increase in sensitivity to 97.5% (95 % CI: 92.9-99.2) and 98.9% (95 % CI: 96.0-99.7), respectively. These higher sensitivities were achieved without any decrease in specificities. CONCLUSIONS: This study revealed that combining two or more parameters of the SD BIOLINE Dengue DUO® rapid kit significantly improved the sensitivity of diagnosis of dengue virus infection and supports its usefulness in the Jamaican setting.
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The Measurement of Observer Agreement for Categorical Data
J. Richard Landis, Gary G. Koch · Biometrics · 1977 · 78.9K citations · Full text
Vu Ty Hang, Dinh The Trung, Vianney Tricou et al. · PLoS neglected tropical diseases · 2009 · 256 citations · Full text
Veterinary Medicine, Diagnostic Sciences, Infectious Diseases +16