Figure 3.

Summary of proposed malaria diagnostic criteria for the Abbott Cell-Dyn, Coulter GEN·S and LH 750, and Sysmex XE-2100 haematology analysers. *Non-Observer Dependent (N-OD) models use the logistic regression predicted probability equation: $\frac{1}{1+e^{-\left({\beta }_0+{\beta }_1{x}_1+{\beta }_2{x}_2+\mathrm{...}+{\beta }_n{x}_n\right)}}=\text{PP}$, where β₀ and β_{1,2, ... n} correspond to the intercept and variable's coefficients, x_{1,2, ... n} are the values for each variable obtained for each individual blood sample, and PP is the predicted probability for which the optimal diagnosis cut-off is show in the figure [51]. Samples with a 'Predicted Probability' (PP) above the cut-off are considered positive for malaria and could be flagged by a programmed Laboratory Information System. Variables for N-OD1_Pv: plateletcrit; ratio between DIFF channel and total WBC count (ΔDIFF/WBC); and mean value of LYMPH-Y in arbitrary units (LYMPHY). Variables for N-OD1_Pf: Optical platelet count (PLTO); red cell distribution width SD (RDWSD); and LYMPH-Y in arbitrary units (LYMPHY).