| Literature DB >> 32085711 |
Tomasz A Leski1, Chris Rowe Taitt2, Abdulai G Swaray3, Umaru Bangura4, Nathanael D Reynolds2, Andrew Holtz3, Chadwick Yasuda2, Joseph Lahai4, Joseph M Lamin4, Victoria Baio4, Kathryn H Jacobsen5, Rashid Ansumana4,6, David A Stenger2.
Abstract
BACKGROUND: Malaria continues to affect over 200 million individuals every year, especially children in Africa. Rapid and sensitive detection and identification of Plasmodium parasites is crucial for treating patients and monitoring of control efforts. Compared to traditional diagnostic methods such as microscopy and rapid diagnostic tests (RDTs), DNA based methods, such as polymerase chain reaction (PCR) offer significantly higher sensitivity, definitive discrimination of Plasmodium species, and detection of mixed infections. While PCR is not currently optimized for routine diagnostics, its role in epidemiological studies is increasing as the world moves closer toward regional and eventually global malaria elimination. This study demonstrates the field use of a novel, ambient temperature-stabilized, multiplexed PCR assay in a small hospital setting in Sierra Leone.Entities:
Keywords: Immunoassay; Malaria; Microscopy; Multiplex polymerase chain reaction; Plasmodium; Plasmodium falciparum; Plasmodium malariae; Plasmodium ovale; Sierra Leone
Year: 2020 PMID: 32085711 PMCID: PMC7035765 DOI: 10.1186/s12936-020-03163-2
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Results of malaria testing
| Assay | Number of samples tested | Positive samples (percent of total) |
|---|---|---|
| MMSR | ||
| Any | 526 | 264 (50.2%) |
| | 204 (38.8%) | |
| | 256 (48.7%) | |
| | 0 (0%) | |
| SD bioline RDT | ||
| Any | 524 | 129 (24.6%) |
| | 29 (5.5%) | |
| | 129 (24.6%) | |
| Microscopy (thick smears) | 523 | 67 (12.8%) |
Fig. 1Numbers of samples tested by malaria diagnostic assays used in this study and numbers of valid results for each assay. The numbers and percentages of malaria positive samples are also shown
Results of malaria detection by MMSR. Data broken out by gender and age
| Infection | Population | # Tested | # Positive | % Positive | p-value |
|---|---|---|---|---|---|
| Malaria (MMSR data) | All | 526 | 264 | 50.2 | – |
| Male | 206 | 106 | 51.4 | 0.667 | |
| Female | 319 | 158 | 49.5 | ||
| Age 5–14 | 73 | 53 | 72.6 | < 0.001 | |
| Age 15–29 | 227 | 126 | 55.5 | ||
| Age 30–44 | 117 | 46 | 39.3 | ||
| Age 45+ | 105 | 37 | 36.2 |
Concordance of SD Bioline RDT and MMSR for P. falciparum detection
| SD bioline RDT | SD bioline RDT | Total | |
|---|---|---|---|
| MMSR | 116 | 137 | 253 |
| MMSR | 12 | 252 | 264 |
| Total | 128 | 389 | 517 |
P.f.Plasmodium falciparum
Fig. 2Comparison of MMSR, SD Bioline RDT and microscopy (smear) detection of malaria for samples with all three valid assays performed (n = 514). 240 samples tested negative using all the assays