Sensitivity and specificity for malaria classification of febrile persons by rapid diagnostic test, microscopy, parasite DNA, histidine-rich protein 2, and IgG: Dakar, Senegal 2015
- PMID: 35504551
- PMCID: PMC10948003
- DOI: 10.1016/j.ijid.2022.04.060
Sensitivity and specificity for malaria classification of febrile persons by rapid diagnostic test, microscopy, parasite DNA, histidine-rich protein 2, and IgG: Dakar, Senegal 2015
Abstract
Objectives: Different methods for detecting Plasmodium parasite infection or exposure are available, but a systematic comparison of all these methodologies to predict malaria infection is lacking. Understanding the characteristics of respective tests is helpful in choosing the most appropriate tests for epidemiological or research purposes.
Methods: We performed microscopy, rapid diagnostic tests (RDTs), and polymerase chain reaction (PCR) for 496 patients presenting with febrile illness in Dakar, Senegal, in 2015. Blood samples had laboratory multiplex assays performed for Immunoglobin G serology and detection of histidine-rich protein 2 (HRP2) antigen. Sensitivity (Se) and specificity (Sp) for different tests were calculated using PCR as the gold standard for detecting active infection. Modeling through latent class analysis compared each test to a modeled gold standard for Se/Sp estimates.
Results: Against PCR, Se/Sp were 95.2%/93.7% for RDT, 90.4%/100.0% for microscopy, and 97.9%/48.1% for laboratory HRP2 detection. Compared with the modeled gold standard, Se of microscopy was 93.5% and Se of RDT, PCR, and laboratory HRP2 detection were all greater than 99%. Se/Sp of Immunoglobin G serology were substantially lower for detecting active infection.
Conclusions: Compared with single tests, a combinatorial latent class analysis approach of multiple biomarkers for detecting malaria infection from patient samples provides greater sensitivity and specificity for epidemiological estimates and research objectives.
Keywords: Antigen detection; Diagnostics; IgG detection; Latent class analysis; Malaria; PCR.
Published by Elsevier Ltd.
Conflict of interest statement
Competing interests The authors have no competing interests to declare.
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References
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- Abdalla ZA, Rahma NA, Hassan EE, Abdallah TM, Hamad HE, Omer SA, Adam I. The diagnostic performance of rapid diagnostic tests and microscopy for malaria diagnosis in eastern Sudan using a nested polymerase chain reaction assay as a reference standard. Trans R Soc Trop Med Hyg. 2019; 113(11):701–705. - PubMed
-
- Agence Nationale de la Statistique et de la Démographie (ANSD) [Sénégal], and ICF International. 2012. Senegal Demographic and Health and Multiple Indicator Cluster Survey (EDS-MICS) 2010–2011. Rockville, Maryland, USA: ANSD and ICF International.
-
- Agence Nationale de la Statistique et de la Démographie (ANSD) [Sénégal], et ICF International. 2015. Sénégal : Enquête Démographique et de Santé Continue (EDS-Continue 2014). Rockville, Maryland, USA: : ANSD et ICF International.
-
- Agence Nationale de la Statistique et de la Démographie (ANSD) [Sénégal], et ICF. 2018. Sénégal : Enquête Démographique et de Santé Continue (EDS-Continue 2017). Rockville, Maryland, USA: : ANSD et ICF.
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