Authors:
Rosenberg, Nora E. PhD; Young, Amber M. BS; Zou, Yating BS; Justman, Jessica MD; Charurat, Manhattan E. PhD; Moyo, Sizulu PhD; Zuma, Khangelani; Bekker, Linda-Gail MD, PhD; Stranix-Chibanda, Lynda MMed; Phiri, Sam J. PhD; Sam-Agudu, Nadia A. MD; Yotebieng, Marcel PhD; Hudgens, Michael G. PhD; Chi, Benjamin H. MD; Shook-Sa, Bonnie E. DrPH
Abstract:
Background:
Globally, approximately half of new HIV acquisitions occur among African adults. This analysis examines which African men are at highest risk of acquiring HIV-1 and in greatest need of HIV pre-exposure prophylaxis (PrEP).
Setting:
National population-based surveys from Eswatini, Ivory Coast, Kenya, Lesotho, Malawi, Namibia, Nigeria, Rwanda, South Africa, Tanzania, Uganda, Zambia, Zimbabwe.
Methods:
The thirteen surveys were pooled and sampling weights were applied to represent all susceptible men aged 15-59 years-old. HIV-1 incidence was calculated based on a recent HIV-1 testing algorithm. A least absolute shrinkage and selection operator (Lasso) regression model was fit with 28 variables to predict recent HIV-1. Models were trained and internally cross-validated to estimate area under the receiver-operating characteristic (ROC) curve (AUC). Along the ROC curve, at sensitivity levels from 10%-90%, performance tradeoffs were evaluated.
Results:
Of 167,121 participants, 112 had recent HIV-1, representing 256,000 new annual infections among 122 million men. Only two variables were retained—reporting a male sexual partner and living in a subnational area where a high proportion of adults have detectable HIV-1 viremia. Overall AUC was 0.80 (95% Confidence Interval (CI): 0.71-0.89); cross-validated AUC was 0.76 (95% CI: 0.64-0.87). At 10% sensitivity, 25,000 cases could be averted if 357,000 men adhered to PrEP (Number Needed to Treat [NNT]=14). At 90% sensitivity, 229,000 cases could be averted if 50 million men adhered to PrEP (NNT=219).
Conclusion:
This predictive, parsimonious, generalizable risk assessment tool could help policymakers weigh tradeoffs between PrEP reach and efficiency.
