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An Empiric Risk Score to Guide PrEP Targeting Among MSM in Coastal Kenya
Elizabeth Wahome1, Alexander N Thiong'o2, Grace Mwashigadi3
1KEMRI/Wellcome Trust Research Programme Centre for Geographic Medicine Research-Coast, Kilifi, Kenya. ewahome@kemri-wellcome.org.
Abstract:
Men who have sex with men (MSM), who have heterogeneous HIV-acquisition risks are not specifically targeted in Kenyan pre-exposure prophylaxis (PrEP) guidelines. We used data from an open cohort, which followed 753 initially HIV-negative MSM participants for more than 1378.5 person-years, to develop an empiric risk score for targeting PrEP delivery. Independent predictors of incident HIV-1 infection in this cohort were an age of 18-24 years, having only male sex partners, having receptive anal intercourse, having any unprotected sex, and having group sex. Poisson model coefficients were used to assign a numeric score to each statistically significant predictor. A risk score of ≥ 1 corresponded to an HIV-1 incidence of ≥ 2.2 [95% confidence interval (CI) 1.2-4.1] and identified 81.3% of the cohort participants as being at high risk for HIV-1 acquisition. The area under the receiver operating characteristic curve was 0.76 (95% CI 0.71-0.80). This empiric risk score may help Kenyan health care providers to assess HIV-1 acquisition risk and encourage PrEP uptake by high-risk MSM.
Insights
A new risk score can identify high-risk men who have sex with men (MSM) for HIV pre-exposure prophylaxis (PrEP) in Kenya. This tool helps target PrEP delivery to MSM with the greatest need, improving prevention efforts.
Area of Science:
- Public Health
- Epidemiology
- HIV Prevention
Background:
- Kenyan pre-exposure prophylaxis (PrEP) guidelines do not specifically target men who have sex with men (MSM) with varying HIV risks.
- Targeted PrEP delivery is crucial for effective HIV prevention among MSM.
Purpose of the Study:
- To develop an empiric risk score for identifying high-risk MSM for PrEP delivery in Kenya.
- To improve the targeting of PrEP interventions within the MSM community.
Main Methods:
- Data from an open cohort of 753 HIV-negative MSM followed for over 1378.5 person-years were analyzed.
- A Poisson model identified independent predictors of incident HIV-1 infection.
- Predictor coefficients were used to create a numeric risk score.
Main Results:
- Key predictors of HIV-1 infection included age (18-24 years), exclusively male partners, receptive anal intercourse, unprotected sex, and group sex.
- A risk score of ≥1 identified 81.3% of participants as high-risk, with an HIV-1 incidence of ≥2.2 (95% CI 1.2-4.1).
- The model achieved an area under the receiver operating characteristic curve of 0.76 (95% CI 0.71-0.80).
Conclusions:
- An empiric risk score can effectively identify MSM at high risk of HIV-1 acquisition in Kenya.
- This tool can aid Kenyan healthcare providers in assessing risk and encouraging PrEP uptake among high-risk MSM.
- Improved risk assessment can optimize PrEP resource allocation and enhance HIV prevention strategies.
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