scholarly journals Modeling Combination Interventions to Prevent Human Immunodeficiency Virus in Adolescent Girls and Young Women in South Africa (HIV Prevention Trials Network 068)

Author(s):  
Marie C D Stoner ◽  
Daniel Westreich ◽  
Jennifer Ahern ◽  
Jessie Edwards ◽  
F Xavier Gómez-Olivé ◽  
...  

Abstract Background Combination interventions may be an effective way to prevent human immunodeficiency virus (HIV) in adolescent girls and young women. However, current studies are not designed to understand which specific interventions and combinations will be most effective. We estimate the possible impacts of interventions on a combination of factors associated with HIV. Methods We used the g-formula to model interventions on combinations of HIV risk factors to identify those that would prevent the most incident HIV infections, including low school attendance, intimate partner violence, depression, transactional sex, and age-disparate partnerships. We used data from the HIV Prevention Trials Network (HPTN) 068 study in rural South Africa from 2011 to 2017. We estimated HIV incidence under a potential intervention that reduced each risk factor and compared this to HIV incidence under the current distribution of these risk factors. Results Although many factors had strong associations with HIV, potential intervention estimates did not always suggest large reductions in HIV incidence because the prevalence of risk factors was low. When modeling combination effects, an intervention to increase schooling, decrease depression, and decease transactional sex showed the largest reduction in incident infection (risk difference, –1.4%; 95% confidence interval [CI], –2.7% to –.2%), but an intervention on only transactional sex and depression still reduced HIV incidence by –1.3% (95% CI, –2.6% to –.2%). Conclusions To achieve the largest reductions in HIV, both prevalence of the risk factor and strength of association with HIV must be considered. Additionally, intervening on more risk factors may not necessarily result in larger reductions in HIV incidence.

2018 ◽  
Vol 218 (11) ◽  
pp. 1759-1766 ◽  
Author(s):  
Gita Ramjee ◽  
Reshmi Dassaye ◽  
Tarylee Reddy ◽  
Handan Wand

Abstract Background Women enrolled in human immunodeficiency virus (HIV) prevention efficacy trials receive counseling on prevention of HIV, sexually transmitted infections (STIs), and pregnancy during every visit. Incident pregnancy has an impact on efficacy outcomes. Incidence rates of pregnancy and HIV/STIs among women who became pregnant and associated risk factors were assessed. Methods Data from 9165 women participating in HIV prevention trials in KwaZulu-Natal, South Africa from 2002–2012 were combined. Demographic and behavioral predictors of incidence pregnancy and incidence HIV and STIs were determined using Cox regression models. Results Overall pregnancy incidence was 9.6 per 100 person-year (py) (95% confidence interval [Cl], 9.1–10.3). Human immunodeficiency virus incidence among pregnant women was 5.93 per 100 py (95% Cl, 4.73–7.44). Incidence of STIs among pregnant women for Chlamydia trachomatis, Trichomonas vaginalis, Neisseria gonorrhoeae, and Treponema pallidum (syphilis) were 10.87, 7.42, 3.92, and 1.43 per 100 py, respectively. In the adjusted analyses, we observed overlapping risk factors for HIV acquisition during pregnancy, ie, young age, not married/not cohabitating, and low parity. The risk of pregnancy and HIV acquisition is more than 3 times higher among young women (<20 years of age). Conclusions We identified overlapping risk factors for pregnancy and HIV incidence, suggesting an urgent need for appropriate, targeted, individual-centred counseling for women participating in HIV prevention trials.


2012 ◽  
Vol 9 (72) ◽  
pp. 1544-1554 ◽  
Author(s):  
Leigh F. Johnson ◽  
Timothy B. Hallett ◽  
Thomas M. Rehle ◽  
Rob E. Dorrington

This study aims to assess trends in human immunodeficiency virus (HIV) incidence in South Africa, and to assess the extent to which prevention and treatment programmes have reduced HIV incidence. Two models of the South African HIV epidemic, the STI (sexually transmitted infection)–HIV Interaction model and the ASSA2003 AIDS and Demographic model, were adapted. Both models were fitted to age-specific HIV prevalence data from antenatal clinic surveys and household surveys, using a Bayesian approach. Both models suggest that HIV incidence in 15–49 year olds declined significantly between the start of 2000 and the start of 2008: by 27 per cent (95% CI: 21–32%) in the STI–HIV model and by 31 per cent (95% CI: 23–39%) in the ASSA2003 model, when expressed as a percentage of incidence rates in 2000. By 2008, the percentage reduction in incidence owing to increased condom use was 37 per cent (95% CI: 34–41%) in the STI–HIV model and 23 per cent (95% CI: 14–34%) in the ASSA2003 model. Both models also estimated a small reduction in incidence owing to antiretroviral treatment by 2008. Increased condom use therefore appears to be the most significant factor explaining the recent South African HIV incidence decline.


2019 ◽  
Vol 70 (3) ◽  
pp. 395-403 ◽  
Author(s):  
Geoffrey Fatti ◽  
Ashraf Grimwood ◽  
Jean B Nachega ◽  
Jenna A Nelson ◽  
Kelsea LaSorda ◽  
...  

Abstract Background There have been concerns about reduced adherence and human immunodeficiency virus (HIV) virological suppression (VS) among clinically well people initiating antiretroviral therapy (ART) with high pre-ART CD4 cell counts. We compared virological outcomes by pre-ART CD4 count, where universal ART initiation was provided in the HIV Prevention Trials Network 071 (PopART) trial in South Africa prior to routine national and international implementation. Methods This prospective cohort study included adults initiating ART at facilities providing universal ART since January 2014. VS (<400 copies/mL), confirmed virological failure (VF) (2 consecutive viral loads >1000 copies/mL), and viral rebound were compared between participants in strata of baseline CD4 cell count. Results The sample included 1901 participants. VS was ≥94% among participants with baseline CD4 count ≥500 cells/µL at all 6-month intervals to 30 months. The risk of an elevated viral load (≥400 copies/mL) was independently lower among participants with baseline CD4 count ≥500 cells/µL (3.3%) compared to those with CD4 count 200–499 cells/µL (9.2%) between months 18 and 30 (adjusted relative risk, 0.30 [95% confidence interval, .12–.74]; P = .010). The incidence rate of VF was 7.0, 2.0, and 0.5 per 100 person-years among participants with baseline CD4 count <200, 200–499, and ≥500 cells/µL, respectively (P < .0001). VF was independently lower among participants with baseline CD4 count ≥500 cells/µL (adjusted hazard ratio [aHR], 0.23; P = .045) and 3-fold higher among those with baseline CD4 count <200 cells/µL (aHR, 3.49; P < .0001). Conclusions Despite previous concerns, participants initiating ART with CD4 counts ≥500 cells/µL had very good virological outcomes, being better than those with CD4 counts 200–499 cells/µL. Clinical Trials Registration NCT01900977.


2019 ◽  
Vol 221 (2) ◽  
pp. 214-217 ◽  
Author(s):  
Charu Mullick ◽  
Jeffrey Murray

Abstract Using published data, we found a direct correlation between the incidence of rectal gonorrhea and human immunodeficiency virus (HIV) infection in men who have sex with men who were not using oral preexposure prophylaxis. HIV incidence was predicted using rectal gonorrhea incidence as the determinant in regression analysis. The observed correlation suggest that rectal gonorrhea incidence can potentially serve as a predictor of HIV incidence. If confirmed with additional data, a quantitative correlation for incidence of the 2 infections could be useful in active-controlled HIV prevention trials where low HIV incidence is expected. Widespread improvements in treatment as prevention and gonorrhea control can negatively impact the correlation and its utility.


2020 ◽  
Author(s):  
Mihir Patel ◽  
Jennifer L Waller ◽  
Stephanie L Baer ◽  
Vanessa Spearman ◽  
Mufaddal Kheda ◽  
...  

Abstract Background Patients with human immunodeficiency virus (HIV) or end-stage renal disease receiving dialysis have an increased risk of developing malignancies, but few data are available on cancer in patients with both conditions. Thus, the objective of this study was to determine the incidence of selected malignancies and identify their potential risk factors in HIV-infected dialysis patients. Methods This study was a nationwide cohort analysis using the US Renal Data System. Participants included all HIV-infected patients starting dialysis from 2005 to 2011. HIV status, comorbidities and malignancies were identified using International Classification of Diseases, Ninth Revision codes. Descriptive statistics and generalized linear models quantifying risk factors were performed for the overall cohort and the three most common malignancies. Results Overall, 6641 HIV-infected dialysis patients were identified, with 543 (8.2%) carrying a malignancy diagnosis. The most common malignancies were non-Hodgkin’s lymphoma (NHL, 25%), Kaposi sarcoma (KS, 16%) and colorectal cancer (13%). Factors increasing the risk of any malignancy diagnosis included: history of cancer [adjusted relative risk (aRR) = 5.37], two or more acquired immunodeficiency syndrome-defining opportunistic infections (ADOIs) (aRR = 3.11), one ADOI (aRR = 2.23), cirrhosis (aRR = 2.20), male sex (aRR = 1.54) and hepatitis B (aRR = 1.52). For NHL and colorectal cancer, history of cancer (aRR = 7.05 and 9.80, respectively) was the most significant risk factor. For KS, two or more ADOIs (aRR = 6.78) was the largest risk factor. Conclusions Over 8% of HIV-infected dialysis patients developed a malignancy. History of cancer and ADOIs were major risk factors, underscoring the significance of immune dysregulation in malignancy development.


Author(s):  
Mariya V Sivay ◽  
Philip J Palumbo ◽  
Yinfeng Zhang ◽  
Vanessa Cummings ◽  
Xu Guo ◽  
...  

Abstract Background The HIV Prevention Trials Network (HPTN) 075 study evaluated the feasibility of enrolling and retaining men who have sex with men (MSM) and transgender women (TWG) from Kenya, Malawi, and South Africa. During the study follow-up, 21 participants acquired human immunodeficiency virus (HIV) (seroconverters). We analyzed HIV subtype diversity, drug resistance, transmission dynamics, and HIV superinfection data among MSM and TGW enrolled in HPTN 075. Methods HIV genotyping and drug resistance testing were performed for participants living with HIV who had viral loads >400 copies/mL at screening (prevalent cases, n = 124) and seroconverters (n = 21). HIV pol clusters were identified using Cluster Picker. Superinfection was assessed by a longitudinal analysis of env and pol sequences generated by next-generation sequencing. Results HIV genotyping was successful for 123/124 prevalent cases and all 21 seroconverters. The major HIV subtypes were A1 (Kenya) and C (Malawi and South Africa). Major drug resistance mutations were detected in samples from 21 (14.6%) of 144 participants; the most frequent mutations were K103N and M184V/I. Phylogenetic analyses identified 11 clusters (2–6 individuals). Clusters included seroconverters only (n = 1), prevalent cases and seroconverters (n = 4), and prevalent cases only (n = 6). Superinfections were identified in 1 prevalent case and 2 seroconverters. The annual incidence of superinfection was higher among seroconverters than among prevalent cases, and was higher than the rate of primary HIV infection in the cohort. Conclusions This report provides important insights into HIV genetic diversity, drug resistance, and superinfection among MSM and TWG in sub-Saharan Africa. These findings may help to inform future HIV prevention interventions in these high-risk groups.


PLoS Medicine ◽  
2021 ◽  
Vol 18 (10) ◽  
pp. e1003837
Author(s):  
Isolde Birdthistle ◽  
Daniel Kwaro ◽  
Maryam Shahmanesh ◽  
Kathy Baisley ◽  
Sammy Khagayi ◽  
...  

Background Through a multisectoral approach, the DREAMS Partnership aimed to reduce HIV incidence among adolescent girls and young women (AGYW) by 40% over 2 years in high-burden districts across sub-Saharan Africa. DREAMS promotes a combination package of evidence-based interventions to reduce individual, family, partner, and community-based drivers of young women’s heightened HIV risk. We evaluated the impact of DREAMS on HIV incidence among AGYW and young men in 2 settings. Methods and findings We directly estimated HIV incidence rates among open population-based cohorts participating in demographic and HIV serological surveys from 2006 to 2018 annually in uMkhanyakude (KwaZulu-Natal, South Africa) and over 6 rounds from 2010 to 2019 in Gem (Siaya, Kenya). We compared HIV incidence among AGYW aged 15 to 24 years before DREAMS and up to 3 years after DREAMS implementation began in 2016. We investigated the timing of any change in HIV incidence and whether the rate of any change accelerated during DREAMS implementation. Comparable analyses were also conducted for young men (20 to 29/34 years). In uMkhanyakude, between 5,000 and 6,000 AGYW were eligible for the serological survey each year, an average of 85% were contacted, and consent rates varied from 37% to 67%. During 26,395 person-years (py), HIV incidence was lower during DREAMS implementation (2016 to 2018) than in the previous 5-year period among 15- to 19-year-old females (4.5 new infections per 100 py as compared with 2.8; age-adjusted rate ratio (aRR) = 0.62, 95% confidence interval [CI] 0.48 to 0.82), and lower among 20- to 24-year-olds (7.1/100 py as compared with 5.8; aRR = 0.82, 95% CI 0.65 to 1.04). Declines preceded DREAMS introduction, beginning from 2012 to 2013 among the younger and 2014 for the older women, with no evidence of more rapid decline during DREAMS implementation. In Gem, between 8,515 and 11,428 AGYW were eligible each survey round, an average of 34% were contacted and offered an HIV test, and consent rates ranged from 84% to 99%. During 10,382 py, declines in HIV incidence among 15- to 19-year-olds began before DREAMS and did not change after DREAMS introduction. Among 20- to 24-year-olds in Gem, HIV incidence estimates were lower during DREAMS implementation (0.64/100 py) compared with the pre-DREAMS period (0.94/100 py), with no statistical evidence of a decline (aRR = 0.69, 95% CI 0.53 to 2.18). Among young men, declines in HIV incidence were greater than those observed among AGYW and also began prior to DREAMS investments. Study limitations include low study power in Kenya and the introduction of other interventions such as universal treatment for HIV during the study period. Conclusions Substantial declines in HIV incidence among AGYW were observed, but most began before DREAMS introduction and did not accelerate in the first 3 years of DREAMS implementation. Like the declines observed among young men, they are likely driven by earlier and ongoing investments in HIV testing and treatment. Longer-term implementation and evaluation are needed to assess the impact of such a complex HIV prevention intervention and to help accelerate reductions in HIV incidence among young women.


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