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Dilution testing using rapid diagnostic tests in a HIV diagnostic algorithm: a novel alternative for confirmation
Leslie Shanks1, M Ruby Siddiqui2, Almaz Abebe3
1Médecins Sans Frontières, Amsterdam, The Netherlands. Leslie.shanks@amsterdam.msf.org.
Virology Journal
|May 15, 2015
Summary
A novel dilution test accurately confirms HIV diagnoses in resource-limited settings, identifying false positives without increasing costs. This simple method enhances HIV testing accuracy where confirmation is often omitted.
Area of Science:
- Infectious Diseases
- Public Health
- Biotechnology
Background:
- Current HIV testing in resource-limited settings omits confirmation tests due to cost, risking false positive diagnoses.
- A novel, low-cost dilution test is evaluated to improve HIV diagnostic accuracy.
Purpose of the Study:
- To assess the efficacy of a dilution test as a simple, rapid, and cost-effective method for confirming HIV diagnosis.
- To evaluate the dilution test's ability to differentiate true positives from false positives caused by cross-reacting antibodies.
Main Methods:
- The study involved 2895 participants in Ethiopia, using a tiebreaker algorithm for HIV diagnosis.
- Samples positive on initial screening, and 10% of negatives, were tested with the gold standard (Western Blot/PCR) and the dilution test using Determine™ RDT at various dilutions.
- The dilution test's performance was compared against the gold standard.
Main Results:
- The dilution test at a 1/160 dilution correctly identified 18 false positives from the RDT algorithm, with 99.6% sensitivity and 100% specificity.
- A single false negative result was observed at this dilution.
- Concordance between the gold standard and the 1/160 dilution was high at 99.8%.
Conclusions:
- The dilution test shows proof of concept as a supplementary, low-cost HIV confirmation method for resource-limited settings.
- Positive dilution tests can confirm HIV infection, while negative results may require nucleic acid testing to rule out false negatives.
- Further research is recommended to validate these findings in diverse settings.

