- Torres, Thiago S;
- Teixeira, Sylvia LM;
- Hoagland, Brenda;
- Konda, Kelika A;
- Derrico, Monica;
- Moreira, Ronaldo I;
- Guanira, Juan V;
- Benedetti, Marcos;
- Nazer, Sandro;
- Calvo, Gino M;
- Vargas, Silver;
- Benites, Carlos;
- Bigolin, Álisson;
- Neto, José Boullosa Alonso;
- Farias, Alessandro;
- Lacerda, Marcos Vinícius Guimarães;
- Silva, Daila Alena Raenck;
- Paz, Leidijany Costa;
- Madruga, José Valdez;
- Flores, Hector Javier Salvatierra;
- Boluarte, Ginjaylan Prada;
- Tamayo, Cesar Vidal Osco;
- Antezana, Hardy Teresa Castro;
- Pimenta, M Cristina;
- Bórquez, Annick;
- Luz, Paula M;
- Grinsztejn, Beatriz;
- Szwarcwald, Celia Landmann;
- Cáceres, Carlos F;
- Veloso, Valdilea G;
- Group, ImPrEP Seroincidence Study;
- Kristic, Tania;
- Rocha, Carla;
- da Silva Santos, Willian;
- Santana, Ana Paula Lovreto;
- Lima, Renato;
- Souza, Carolina;
- Oliva, Talita Andrade;
- dos Santos Valões, Mônica;
- Olivetto, Jennifer;
- Mota, Gabriel Lima;
- Cano, Aline Barnabé;
- Trefiglio, Roberta;
- Coutinho, Carolina;
- Elorreaga, Oliver;
- Gutierrez, Ximena;
- Olivos, Fernando;
- Caviedes, Damaris;
- Adriazola, Daniella;
- Juárez, Eduardo;
- Mariño, Gabriela;
- Qquellon, Jazmin;
- Vasquez, Francesca;
- Jiron, Jean Pierre;
- Flores, Sonia;
- Campos, Karen;
- Eguiluz, Maria
Background
HIV incidence estimation is critical for monitoring the HIV epidemic dynamics and the effectiveness of public health prevention interventions. We aimed to identify sexual and gender minorities (SGM) with recent HIV infections, factors associated with recent HIV infection, and to estimate annualised HIV incidence rates.Methods
Cross-sectional multicentre study in HIV testing services in Brazil and Peru (15 cities). Inclusion criteria: 18+ years, SGM assigned male at birth, not using pre-/post-exposure prophylaxis. We identified recent HIV infection using the Maxim HIV-1 LAg-Avidity EIA assay as part of a recent infection testing algorithm (RITA). Annualized HIV incidence was calculated using the UNAIDS/WHO incidence estimator tool. Multivariable logistic regression models were used to estimate factors associated with recent HIV infection. Trial registration: NCT05674682.Findings
From 31-Jan-2021 to 29-May-2022, 6899 individuals participated [Brazil: 4586 (66.5%); Peru: 2313 (33.5%)]; 5946 (86.2%) cisgender men, 751 (10.9%) transgender women and 202 (2.9%) non-binary/gender diverse. Median age was 27 (IQR: 23-34) years. HIV prevalence was 11.4% (N = 784/6899); 137 (2.0%) SGM were identified with recent HIV infection. The overall annualized HIV incidence rate was 3.88% (95% CI: 2.86-4.87); Brazil: 2.62% (95% CI: 1.78-3.43); Peru: 6.69% (95% CI: 4.62-8.69). Participants aged 18-24 years had higher odds of recent HIV infection compared to those aged 30+ years in both countries.Interpretation
Our results highlight the significant burden of HIV epidemic among SGM in large urban centres of Brazil and Peru. Public health policies and interventions to increase access to effective HIV prevention methods such as PrEP are urgently needed in Latin America.Funding
Unitaid, WHO (Switzerland), Ministry of Health from Brazil and Peru.