Page 112 - Invited Paper Session (IPS) - Volume 2
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IPS186 Fagbamigbe, A. F.
                  of  the  5753  children  that  had  both  tests.  The  overall  sensitivity  was  88%,
                  specificity  was  76%  while  the  diagnostic  accuracy  (that  is  the  overall
                  agreement) of RDT stood at 79%. The overall positive and negative likelihood
                  ratio was 3.6 and 0.16 respectively while the overall PPV and NPV were 58%
                  and 94% respectively. The sensitivity of RDT increased significantly as the age
                  of the children increased (p<0.05), from 86% among those aged 0-6 months
                  to 86.1% in 7-23 month olds to 88.1% among those aged 24-59 months. The
                  reverse was the specificity, LR+, and the NPV but diagnostic accuracy of RDT
                  and the PPV increased with the age of the children (p<0.05). On the sex of the
                  children, there was no difference in the sensitivity of RDT but the specificity
                  differed with significantly higher proportions among females (77%) than males
                  (75%) (p<0.05). Interestingly, RDT was more sensitive in the rural area at 88%
                  than in urban areas (84%) but less specific in rural (68%) than in the (86%)
                  (p<0.05).
                      Also,  there  was  a  significant  PPV  gap  of  14%  in  a  rural  area  (60%)
                  compared with the urban area (46%) (p<0.05) but with a closer NPV (92% vs
                  98%) (p<0.05). The overall accuracy, the sensitivity, the specificity, LR+, and
                  NPV of the RDT were generally and significantly higher across the southern
                  regions in Nigeria  than in the northern regions (p<0.05). For children with
                  severe anaemia, the sensitivity of the RDT was nearly 100% compared with a
                  specificity  of  39%  (p<0.05).  It  appeared  that  the  discriminatory  accuracy
                  reduced  with  children  level  of  anaemia  but  the  higher  the  severity  of  the
                  anaemia, the lower its specificity (p<0.05). However, both the LR+ and the LR-
                  increased as the severity of anaemia increased (p<0.05). For the predictive
                  accuracy,  PPV  reduced  with  reduced  severity  from  77%  to  44%  (p<0.05)
                  among children that didn’t have anaemia while the NPV increased significantly
                  from 90% among children that had severe anaemia to 97% among those that
                  didn’t have anaemia (p<0.05).
                      Among all the under-five children, the prior probability of malaria was
                  27%. For the positive tests (showed in blue line in Figure 1), the LR+ is 3.62
                  (95% CI: 3.42-3.83), the posterior probability (odds) is 58% (95% CI: 56%-59%)
                  and approximately 1 in 1.7 with positive test results actually had the parasite
                  while approximately 1 in 1.1 who tested negative was actually negative, LR- is
                  0.16(95%  CI:0.14-0.19)  with  corresponding  posterior  probability  (odds)  of
                  0.06(95% CI: 0.05-0.07).
                      On the level of anaemia, AUC was 68% for those that had severe anaemia,
                  77% for moderate anaemia, 80% for mild anaemia and 84% for those with no
                  anaemia (p<0.05). The AUCs were significantly different across the age of the
                  children,  the  zone  and  location  of  their  residence,  their  household  wealth
                  quintile,  mothers’  education,  quality  of  housing  material,  haven  had  fever
                  within two weeks preceding the data collection as well as the level of anaemia
                  (p<0.05).  The  ROC  and  Lorenz  curves  for  all  children  are  shown  in

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