@article{ajmr20231143,
author={{Ol¨¦fongo, Dagnogo and Noel, Dago Dougba and Rebecca, Eboul¨¦ Ago Eliane and Sonia, Koffi N'Guessan B¨¦n¨¦dicte and Joseph, Djaman Allico},
title={Performance Assessment of Malaria Conventional and Molecular Diagnostics Processes by a Computational Statistical Approach},
journal={American Journal of Microbiological Research},
volume={11},
number={4},
pages={106--118},
year={2023},
url={https://pubs.sciepub.com/ajmr/11/4/3},
issn={2328-4137},
abstract={<b>Background: </b>Malaria is the most widespread infectious disease in the world, especially in developing countries. The World Health Organization (WHO) recommends that malaria should be diagnosed biologically before antimalarial treatment starting. Several tests are available for its diagnosis, albeit with varying degrees of sensitivity and specificity. The limitations of the thick drop technique and the advent of molecular diagnostic techniques, which have revolutionized therapeutic approaches in several biomedical fields, led us to evaluate the performance of conventional and molecular malaria diagnostic tests at three experimental sites in C?te d'Ivoire. <b>Methodology: </b>We collected blood, saliva and urine samples in Anonkoua-kout¨¦, Port-Bou?t, and Ayam¨¦ from 93 patients with microscopically confirmed uncomplicated <i>P. falciparum</i> malaria. These patients, aged over 2 years, gave their informed consent before blood, saliva and urine samples were taken. <i>P. falciparum</i> genomic DNA extracted from these samples was amplified by nested PCR using primers specific to certain <i>P.</i><i> falciparum</i> genes (<i>Pfk13 propeller</i>, <i>pfdhfr</i> and <i>pfcrt</i> genes). Computational statistical analyses requiring various functions and/or scripts of the R software (v 4.1.0) were performed on the data relating to the parasite density of malaria patients subjected to conventional (thick drop and blood smear) and molecular diagnostic procedures. <b>Results: </b>Significant variability in parasite density was observed at all three sites (p&lt;0.05), with a higher parasite density at the Port-Bou?t site. The conventional malaria diagnostic system performed moderately well at all three sites and for all patients (AUC=61.4%-62.9%). This performance tended to improve markedly when malaria patients were discriminated by age in young and adult patients (AUC=77.3%-78%), suggesting the susceptibility of the classical malaria diagnostic method to this anthropomorphic parameter. ROC analysis supported a very high performance of the molecular diagnosis of malaria for the biomarkers <i>pfcrt</i> and <i>pfdhfr</i> in the three biological fluids (AUC=100%) in contrast to the molecular biomarker <i>pk13 propeller</i> (AUC=50%). Considering biological fluids, ROC analysis suggested very high performance of malaria molecular diagnostic process for blood sample (AUC=100%) in contrast to saliva (AUC=79.8%) and urine (76.4%) which exhibited moderate performance. <b>Conclusion: </b>Considering as whole, malaria molecular diagnosis, although depending on molecular biomarkers typology as well as biological fluid, performs better than conventional diagnosis, which performances result strongly linked to patient¡¯s age.},
doi={10.12691/ajmr-11-4-3}
publisher={Science and Education Publishing}
}