Feasibility and impact of online HIV/STI screening addressed to men who have sex with men and transgender women users of pre-exposure prophylaxis (PrEP) in Spain (TESTATE PrEP): a study protocol for a non-blinded randomised controlled trial

HIV & AIDS; Clinical trial; Sexually transmitted diseaseVIH y SIDA; Ensayo clínico; Enfermedad de transmisión sexualVIH i sida; Assaig clínic; Malaltia de transmissió sexualIntroduction The objectives of the study are: to design and implement a pilot intervention to offer self-sampling kits to detect HIV, Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG) and Treponema pallidum (TP) among gay, bisexual and other men who have sex with men and transgender women users of pre-exposure prophylaxis (PrEP) as part of PrEP follow-up. To evaluate if the pilot intervention causes a reduction of the retention to PrEP follow-up among the target population. To analyse the capacity of the intervention to reduce the healthcare burden on the PrEP service. To evaluate the acceptability of the intervention among PrEP users and PrEP service healthcare workers and; to validate dried blood samples for treponemal and non-treponemal antibody detection using the Dual Path Platform syphilis screening and confirmatory assay compared with blood drawn by venous puncture. Methods and analysis We will perform a non-blinded randomised controlled non-inferiority trial among PrEP users on follow-up. Participants on the control arm will follow the usual follow-up protocol with quarterly face-to-face visits where they will be tested for HIV and sexually transmitted infections (STIs). Participants in the experimental arm will alternate face-to-face meetings with online screening of HIV and STIs. The website https://testate.org/ will include a module for online follow-up visits of participants. Participants of the experimental arm will order self-sampling kits for HIV, CT, NG and TP through the website, will send the samples to the laboratory and check their results online. We will compare the retention to follow up and the healthcare burden in both arms. The acceptability of the intervention among participants and healthcare workers will be assessed. Ethics and dissemination The project has been approved by the CEIC-HUGTIP (Reference: PI-22-051). Subjects will be included after giving their informed consent. Final conclusions and recommendations will be shared with stakeholders. Two publications in peer-reviewed journals are expected. Trial registration number NCT05752643.This work was supported by the Instituto de Salud Carlos III (PI21/01589) and the Ministry of Health of the Government of Catalonia (Spain) (no grant number)

Impact of very early antiretroviral therapy during acute HIV infection on long-term immunovirological outcomes

Acute HIV infection; Antiretroviral treatment; Immune recoveryInfección aguda por VIH; Tratamiento antirretroviral; Recuperación inmunitariaInfecció aguda per VIH; Tractament antiretroviral; Recuperació immunitàriaObjectives We aimed to determine if starting antiretroviral therapy (ART) in the first 30 days after acquiring HIV infection has an impact on immunovirological response. Methods Observational, ambispective study including 147 patients with confirmed acute HIV infection (January/1995-August/2022). ART was defined as very early (≤30 days after the estimated date of infection), early (31-180 days), and late (>180 days). We compared time to viral suppression (viral load [VL] <50 copies/ml) and immune recovery (IR) (CD4+/CD8+ ratio ≥1) according to the timing and type of ART using survival analysis. Results ART was started in 140 (95.2%) patients. ART was very early in 24 (17.1%), early in 77 (55.0%), and late in 39 (27.9%) cases. Integrase strand transfer inhibitor (INSTI)-based regimens were the most used in both the overall population (65%) and the very early ART group (23/24, 95.8%). Median HIV VL and CD4+/CD8+ ratio pre-ART were higher in the very early ART group (P <0.05). Patients in the very early and early ART groups and treated with INSTI-based regimens achieved IR earlier (P <0.05). Factors associated with faster IR were the CD4+/CD8+ ratio pre-ART (hazard ratio: 9.3, 95% CI: 3.1-27.8, P <0.001) and INSTI-based regimens (hazard ratio: 2.4, 95% CI: 1.3-4.2, P = 0.003). Conclusions The strongest predictors of IR in patients who start ART during AHI are the CD4+/CD8+ ratio pre-ART and INSTI-based ART regimens.This work was founded by Instituto de Salud Carlos III (Acción Estratégica en Salud) and Fondo Europeo de Desarrollo Regional (FEDER) through grant PI20/00823. The study was also supported by the Spanish Network for AIDS Research (RIS) through the Instituto de Salud Carlos III – Red Temática de Investigación Cooperativa en Sida (RD06/006, RD12/0017/0018 and RD16/0002/0006) as part of the Plan Nacional R+D+I and by ISCIII Subdirección General de Evaluación and Fondo Europeo de Desarrollo Regional (FEDER). For this project, PS has received a grant from the Catalan Society of Infectious Diseases and Clinical Microbiology (SCMIMC) funded by ViiV Healthcare. MJB is supported by the Miguel Servet program funded by the Spanish Health Institute Carlos III (CPII22/00005). The funders had no role in the study design, data collection, and interpretation, or the decision to submit the work for publication

Correction: Evaluation of a community-based HIV test and start program in a conflict affected rural area of Yambio County, South Sudan.

[This corrects the article DOI: 10.1371/journal.pone.0254331.]

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts