Multi-Antigen RDT Outperforms Standard Tests in Ethiopia

A new study in southern Ethiopia finds the Bioline Malaria Ag P.f/P.v/Pan test detects more cases than microscopy or HRP2-based RDTs.

Multi-Antigen RDT Outperforms Standard Tests in Ethiopia

Image: nature.com

A study published in 2026 evaluated the performance of the Abbott Bioline Malaria Ag P.f/P.v/Pan rapid diagnostic test (RDT) against quantitative PCR (qPCR) and microscopy in the Gedeo Zone of southern Ethiopia, where Plasmodium falciparum and P. vivax are co-endemic. The research, conducted by scientists from the Ethiopian Public Health Institute and partners, aimed to address limitations of conventional HRP2-based RDTs, including low sensitivity for low parasitemia and false negatives due to pfhrp2/3 gene deletions.

The study enrolled 1,200 febrile patients from health facilities in the region. Using qPCR as the gold standard, the multi-antigen RDT demonstrated a sensitivity of 94.2% for P. falciparum and 91.5% for P. vivax, compared to 78.3% and 72.1% for microscopy, respectively. Specificity exceeded 98% for all methods. The RDT also correctly identified mixed infections in 12 cases where microscopy missed them.

Importantly, the Bioline test detected P. falciparum in 8% of samples with pfhrp2/3 deletions, which standard HRP2-based RDTs failed to identify. The authors recommend integrating multi-antigen RDTs into routine malaria surveillance in areas with high prevalence of gene deletions and mixed infections, to improve case management and reduce transmission.

❓ Frequently Asked Questions

What is the main advantage of the multi-antigen RDT over standard tests?

It detects both P. falciparum and P. vivax, including cases with pfhrp2/3 gene deletions that cause false negatives in HRP2-based RDTs.

How was the study conducted?

Researchers enrolled 1,200 febrile patients in the Gedeo Zone, Ethiopia, and compared the Bioline RDT against qPCR and microscopy.

What are the implications for malaria control?

Using multi-antigen RDTs can improve case detection, especially in areas with mixed infections and gene deletions, aiding better treatment and surveillance.

📰 Source:
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