HIV residual risk in Canada under a three-month deferral for men who have sex with men

Vox Sang. 2020 Feb;115(2):133-139. doi: 10.1111/vox.12867. Epub 2019 Nov 27.

Abstract

Background and objectives: In Canada, the deferral for men who have sex with men (MSM) was decreased from a permanent deferral to a 5-year then a 12-month deferral. Current HIV testing can detect an HIV infection in donated blood within 2 weeks of exposure; thus, a 12-month deferral may be unnecessarily restrictive. We aimed to estimate the residual risk of HIV if the deferral were further decreased to 3 months.

Materials and methods: Using a deterministic model with stochastic Monte Carlo simulation, residual risk of HIV was the sum of testing error, assay sensitivity and window-period risks. Data inputs were estimated from donor surveillance, donor surveys and published data. Residual risk was modelled at baseline and using three scenarios: (1) most likely - non-compliance, HIV prevalence and incidence rates of MSM are unchanged; (2) optimistic - non-compliance improves by 50%; and (3) pessimistic - non-compliance, HIV prevalence and incidence rates of MSM all double.

Results: HIV residual risk at baseline was 1 in 36·0 million donations (95% CI 1 in 1 504 907 million, 10·5 million); in the most likely scenario 1 in 34·2 million (1 in 225 534 million, 8·7 million); in the optimistic scenario 1 in 36·0 million (1 in 282 618 million, 9·5 million); in the pessimistic scenario 1 in 16·7 million (1 in 39 469 million, 6·0 million). All confidence intervals overlapped.

Conclusion: With very low modelled risk under a 12-month deferral, the additional risk with a 3-month deferral is very low. This is true even with a pessimistic scenario.

Keywords: Canada; HIV; MSM; deferral; residual risk.

MeSH terms

  • Blood Donors / statistics & numerical data*
  • Canada
  • HIV Infections / epidemiology*
  • Homosexuality, Male / statistics & numerical data*
  • Humans
  • Male
  • Patient Compliance / statistics & numerical data*
  • Prevalence
  • Sexual and Gender Minorities / statistics & numerical data*
  • Surveys and Questionnaires
  • Transfusion Reaction / epidemiology*