Title |
An Empiric Risk Score to Guide PrEP Targeting Among MSM in Coastal Kenya
|
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Published in |
AIDS and Behavior, May 2018
|
DOI | 10.1007/s10461-018-2141-2 |
Pubmed ID | |
Authors |
Elizabeth Wahome, Alexander N. Thiong’o, Grace Mwashigadi, Oscar Chirro, Khamisi Mohamed, Evans Gichuru, John Mwambi, Matt A. Price, Susan M. Graham, Eduard J. Sanders |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 25% |
Argentina | 1 | 25% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 80 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Doctoral Student | 12 | 15% |
Student > Master | 10 | 13% |
Other | 8 | 10% |
Student > Bachelor | 6 | 8% |
Student > Ph. D. Student | 6 | 8% |
Other | 13 | 16% |
Unknown | 25 | 31% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 14 | 18% |
Nursing and Health Professions | 13 | 16% |
Social Sciences | 9 | 11% |
Economics, Econometrics and Finance | 3 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Other | 9 | 11% |
Unknown | 30 | 38% |