Significance of nested PCR testing for the detection of low-density malaria infection amongst febrile patients from the Malaria Elimination Demonstration Project in Mandla, Madhya Pradesh, India

• Published in: Malaria journal Vol. 21; no. 1; pp. 1 - 10
• Main Authors: Singh, Akansha, Singh, Mrigendra P., Bhandari, Sneha, Rajvanshi, Harsh, Nisar, Sekh, Telasey, Vinay, Jayswar, Himanshu, Mishra, Ashok K., Das, Aparup, Kaur, Harpreet, Lal, Altaf A., Bharti, Praveen K.
• Format: Journal Article
• Language: English
• Published: London BioMed Central 17.11.2022; BioMed Central Ltd; BMC
• Subjects: Analysis; Biomedical and Life Sciences; Biomedicine; Care and treatment; Control; Detection; Diagnosis; Disease; Disease transmission; DNA; DNA polymerase; Entomology; Epidemiology; Fever; Filter paper; Human diseases; Identification and classification; Infections; Infectious Diseases; Laboratories; Low-density infection; Malaria; Medical tests; Methods; Microbiology; Microscopy; Nucleotide sequence; P. falciparum; P. vivax; Parasites; Parasitology; PCR; Plasmodium falciparum; Polymerase chain reaction; Population; Public Health; Regression analysis; Sample size; Statistical analysis; Testing; Tropical Medicine; Vector-borne diseases; Vectors (Biology); India; East Asia; Madhya Pradesh India; Low-density infection; Malaria; PCR
• ISSN: 1475-2875; 1475-2875
• DOI: 10.1186/s12936-022-04355-8

Background Low-density malaria infections (LDMI) are defined as infections that are missed by the rapid diagnostic test (RDT) and/or microscopy which can lead to continued transmission and poses a challenge in malaria elimination efforts. This study was conducted to investigate the prevalence of LDMI in febrile cases using species-specific nested Polymerase Chain Reaction (PCR) tests in the Malaria Elimination Demonstration Project, where routine diagnosis was conducted using RDT. Methods Every 10th fever case from a cross-sectional community based fever surveillance was tested with RDT, microscopy and nested PCR. Parasite DNA was isolated from the filter paper using Chelex based method. Molecular diagnosis by nested PCR was performed targeting 18SrRNA gene for Plasmodium species. Results The prevalence of malaria was 2.50% (436/17405) diagnosed by PCR, 1.13% (196/17405) by RDT, and 0.68% (118/ 17,405) by microscopy. Amongst 17,405 febrile samples, the prevalence of LDMI was 1.51% (263/17405) (95% CI 1.33–1.70), which were missed by conventional methods. Logistic regression analysis revealed that illness during summer season [OR = 1.90 (p < 0.05)] and cases screened within three days of febrile illness [OR = 5.27 (p < 0.001)] were the statistically significant predictors of LDMI. Conclusion The prevalence of malaria among febrile cases using PCR was 2.50% (436/17405) as compared to 1.13% (196/17405) by RDT. Higher number of the LDMI cases were found in subjects with ≤ 3 days mean duration of reported fever, which was statistically significant (p < 0.001). This observation suggests that an early detection of malaria with a more sensitive diagnostic method or repeat testing of the all negative cases may be useful for curtailing malaria transmission. Therefore, malaria elimination programme would benefit from using more sensitive and specific diagnostic methods, such as PCR.