Diagnostic accuracy of dried plasma spot specimens for HIV-1 viral load testing: A systematic review and meta-analysis

Abstract

BACKGROUND: Dried plasma spot specimens may be a viable alternative to traditional liquid plasma in field settings, but the diagnostic accuracy is not well understood. METHODS: Standard databases (PubMed and Medline), conferences, and grey literature were searched until January 2019. The quality of evidence was evaluated using STARD and QUADAS-2 criteria. We used univariate and bivariate random effects models to determine misclassification, sensitivity, and specificity across multiple thresholds, overall and for each viral load technology and to account for between-study variation. RESULTS: We identified 23 studies for inclusion in the systematic review that compared the diagnostic accuracy of dried plasma spots to plasma. Primary data from 16 of the 23 studies were shared and included in the meta-analysis, representing 18 countries, totaling 1,847 paired dried plasma spot:plasma data points. The mean bias of dried plasma spot specimens compared to plasma was 0.28 log10 copies/ml, while the difference in median viral load was 2.25 log10 copies/ml. More dried plasma spot values were undetectable compared to plasma values (43.6% vs. 29.8%). Analyzing all technologies together, the sensitivity and specificity of dried plasma spot specimens was >92% across all treatment failure thresholds compared and total misclassification <5.4% across all treatment failure thresholds compared. Some technologies had lower sensitivity or specificity; however, the results were typically consistent across treatment failure thresholds. DISCUSSION: Overall, dried plasma spot specimens performed relatively well compared to plasma with sensitivity and specificity values greater than 90% and misclassification rates less than 10% across all treatment failure thresholds reviewed.

Authors

Fong Y, Markby J, Andreotti M, Beck I, Bourlet T, Brambilla D, Frenkel L, Lira R, Nelson JAE, Pollakis G, Reigadas S, Richman D, Sawadogo S, Waters L, Yang C, Zeh C, Doherty M, Vojnov L

Year

2022

Topics

  • Population(s)
    • General HIV- population
  • Testing
    • Testing

Link

Abstract/Full paper

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