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IPS186 Fagbamigbe, A. F.
                              On the discriminatory and predictive accuracy of
                                RDT against the microscopy smear tests in the
                               diagnosis of malaria among under-five children
                                                  in Nigeria
                                               Fagbamigbe, A. F.

                  Abstract
                  Accurate identification of malaria cases is very crucial to the management of
                  cases and to the success of malaria eradication agenda. This study is designed
                  to  evaluate  the  discriminatory  and  predictive  accuracy  of  Malaria  Rapid
                  Diagnostic Tests (RDTs) in Nigeria. The data obtained during the 2015 Nigeria
                  Malaria  Indicator  Survey  was  used  to  quantify  the  discriminatory  accuracy
                  through the analysis of its sensitivity, specificity, positive (LR+) and negative
                  (LR-) likelihood ratio. The positive (PPV), and negative (NPV) predictive values,
                  area under the receiver operating characteristic curve, and diagnostic odds
                  ratio were used to assess the predictive accuracy of the RDTs using expert
                  microscopy as a gold standard at p=0.05. The McNemar paired test and the
                  Kappa statistics were used to assess agreement between the diagnostic tests.
                  There was a significant but not an excellent agreement between the results of
                  the RDT and microscopy tests (p<0.001). The overall sensitivity of the RDT was
                  87.6%(85.9%-89.2%), specificity was 75.8%(74.4-77.1%) while the diagnostic
                  accuracy  stood  at  79.0%(77.9%-80.0%).  The  LR+,  LR-,  PPV  and  NPV  were
                  3.6(3.4-3.8) and 0.16(0.14-0.19), 57.5%(56.1%-58.9%) and 94.2%(93.5%-94.9%)
                  respectively.  The  sensitivity  of  RDT  increased  as  the  age  of  the  children
                  increased, from 85.7% among those aged 0-6 months to 86.1% in 7-23 month
                  olds  to  88.1%  among  those  aged  24-59  months  but  the  reverse  was  the
                  specificity. For children with severe anaemia, the sensitivity of the RDT was
                  nearly 100% compared with a specificity of 39%. While the sensitivity and the
                  PPV  reduced  with  children’s  level  of  anaemia,  the  higher  the  severity  of
                  anaemia the lower the NPV, specificity, the diagnostic accuracy of the RDT.
                  The odds of RDT been sensitive was about 50% (aOR=0.52(95% CI: 0.30-0.90))
                  lower among children aged 7-23 months compared with those aged 24-59
                  months while the odds of RDT been sensitive was 2 times (aOR=2.15 (95%
                  CI:1.67-2.77)) higher among those 7-23 months than among those aged 24-
                  59 months. Although there was a significant agreement in the outcomes of
                  RDT and Microscopy tests, the discriminatory accuracy of RDT was weak. Also,
                  the predictive accuracy, especially the PPV of the RDTS, were very low. These
                  measures  of  accuracies  differed  across  the  age  of  the  children,  level  of
                  anaemia, and other characteristics. Without an accurate, efficient and reliable
                  diagnosis of malaria, the goal of eliminating malaria and reduction of malaria-
                  related deaths to zero by 2020 will only be a wide chase.


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