Table 1.
Baseline characteristics of study participants.
Table 2.
Diagnostic performance of NS1 rapid test in enrolment plasma samples and odds of NS1 detection in relation to plasma viremia.
Table 3.
Univariate and multivariate analysis of candidate predictors of laboratory-confirmed dengue.
Fig 1.
Performance of the Early Dengue Classifier (EDC) in all subjects.
Figure A displays possible sensitivity/specificity trade-offs for different cut-off values and the distance from the corresponding points on the ROC curve to the upper left corner (perfect model). Figure B displays the receiver operating characteristic (ROC) curve. Figure C is a calibration plot. It displays a scatterplot-smoother of predicted versus observed risks (dotted line), predicted versus observed risks for ten patient strata of equal size grouped according to predicted risks (triangles) and the ideal identity line (dashed line). The rugs at the bottom of the graphs characterize the distribution of predicted risks in true dengue and non-dengue cases, respectively.
Fig 2.
Nomogram of the Early Dengue Classifier (EDC) to predict the risk of dengue.
A horizontal line from a predictor value to the “Points” axis assigns points to the 3 required variables age, platelet count (PLT), and white blood cell count (WBC). The sum of these points (total points) can then be translated to the corresponding predicted risk of dengue. As an example, a 9-year-old patient with a PLT of 100x103/mm3, and a WBC of 5x103/mm3 has a score of 15+32+84 = 131, and the corresponding risk of dengue is about 70%. Note: As <1% of patients had platelet (PLT) count >500x103/mm3 or white blood cell (WBC) count >30x103/mm3, for better visualization, PLT and WBC counts were truncated at 500x103/mm3 and 30x103/mm3 respectively.