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Research Letter

Update to: Application of Bayesian decision-making to laboratory testing for Lyme disease and comparison with testing for HIV

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Pages 291-292 | Published online: 11 Sep 2017

In our recent Bayesian analysis paper, false-negative results were compared between Lyme disease and HIV using a recommended test algorithm.Citation1 When the two-tier test methodology for Lyme disease was compared with HIV two-stage testing, false negatives could be more than 500 times higher for Lyme disease testing.

The two-stage HIV test was designed to be used if an initial test was negative and there was symptomatic or subjective evidence that HIV infection could be present. The method reduces the chance of negative results resulting from determinate or random errors encountered in sampling and medical laboratory practice.

Based on the very high sensitivity and specificity of HIV tests, an updated methodology recommends that a second test of negative samples should not be carried out.Citation2 A second test is recommended for positive samples, not as a two-tier confirmatory test as with Lyme disease but to identify the HIV-1 or HIV-2 antibody/antigen type.

The last column of demonstrates that when false-negative tests are compared between the two-tier test for Lyme disease and a single HIV test, false negatives are still up to more than 500 times higher for Lyme disease testing.

Table 1 Comparison of false-negative probabilities for LD and HIV testing: clinical samples

Disclosure

The authors report no conflicts of interest in this work.

References

  • CookMJPuriBKApplication of Bayesian decision-making to laboratory testing for Lyme disease and comparison with testing for HIV Application of Bayes to Lyme disease testingInt J Gen Med20171011312328435311
  • Centers for Disease Control and PreventionLaboratory testing for the diagnosis of HIV infection updated recommendations2014168 Available from: http://dx.doi.org/10.15620/cdc.23447Accessed June 28, 2017