"The number of gay and bisexual men contracting HIV rose…because of an increase in numbers having unprotected sex," The Guardian reports.
The story is based on a study that used UK data on HIV and sexual risk behaviour among men who have sex with men (MSM). The data was used to build computer models to estimate the impact of various factors on HIV rates since the 1980s.
Although this model cannot predict all the factors that play a role in HIV incidence among MSM, it is a useful tool for policy makers to assess which preventative strategies work and which could potentially have the greatest impact.
This research highlights the important role condom use has played in reducing HIV rates. It is hoped it will encourage MSM to have regular HIV tests and continue to use condoms to protect themselves and others from HIV.
The study was carried out by researchers from University College London, the Health Protection Agency (HPA) and other research centres in the UK and Denmark, and was funded by the UK National Institute for Health Research (NIHR).
It was published in the peer-reviewed open access journal, PLoS ONE.
The Independent, BBC and The Guardian covered this story well.
This research was a study modelling HIV incidence in the UK in men who have sex with men (MSM). Modelling studies are useful for looking at how different factors could influence patterns of disease, for example. They can also help policy makers make decisions about how to use resources to their greatest effect. Models work on the basis of various assumptions, and their accuracy depends on how precise these assumptions are.
The researchers wanted to understand which specific factors affect HIV incidence so prevention efforts can be improved. They say that although levels of antiretroviral therapy (ART) have increased among MSM with HIV, the number of new HIV infections has not decreased. For example, in 2010 more than 3,000 MSM were diagnosed with HIV, which is reported to be the highest number since the start of the HIV epidemic in the late 1970s and early 1980s.
The researchers looked at ART use, unprotected sex and HIV testing, and how these impacted HIV trends in MSM over the past 30 years in the UK.
They used comprehensive HIV data routinely collected from the UK ("surveillance data"), data on self-reported condom use among MSM, and other information so they could build complex computer models to simulate the following:
The researchers made various assumptions, including that all transmissions took place through unsafe (condomless) sex, and that after HIV diagnosis a proportion of men substantially reduce unsafe sex with short-term partners.
For each factor they put into the model, they ran the model with a range of possible values. They then looked at which combination of values resulted in a model that best fit what was actually seen in the UK population between 1980 and 2010.
The researchers also investigated hypothetical scenarios, such as what would have happened to HIV incidence if ART had never been introduced.
The researchers found that they could generate a model that was generally consistent with the trends seen in HIV in the UK between 1980 and 2010.
The main findings of the model were:
The researchers conclude that ART has almost certainly reduced the incidence of HIV in the UK between 1980 and 2010.
They say that their findings suggest that a modest increase in condomless sex among MSM after the introduction of ART is responsible for the net increase in incidence of HIV in the UK, so increased condom use should be encouraged.
The model also suggests that much higher rates of HIV testing, along with starting ART at the time of diagnosis, would be likely to lead to considerable reductions in HIV incidence.
The study has identified two main factors that have impacted HIV rates among MSM in the UK – condom use and antiretroviral therapy (ART).
It also found that if there was more HIV testing and ART was started immediately after diagnosis, the rates of the disease could be reduced further.
Other studies, such as surveys of MSM, have also found an increase in condomless sex after the introduction of effective ART.
In the UK, ART is usually only started once a person's CD4 cell count (a measure of immune function) falls to below 350 cells/mm3. The authors note that randomised controlled trials (RCTs) have not yet reliably assessed the balance of the benefits and risks of starting ART soon after diagnosis, but trials are ongoing.
The researchers state that their modelling of the impact of immediate treatment with ART after HIV diagnosis (without waiting for white blood cell count to drop to a specified level) presumes that this would not lead to an increase in condomless sex. They suggest that a negative impact on condom use seems unlikely.
This model benefits from having a large amount of UK data available on HIV-related trends. But, as with all modelling studies, it is impossible to take all potential factors into account. For example, the current model did not factor in the risks associated with unprotected oral sex. The assumptions the model is based on may also not happen in the real world, which affects how seriously we can take the predictions the model makes.
But these kinds of models are helpful for policy makers to assess what the effects of preventative strategies are likely to have been, and which strategies may potentially have the greatest impact.
For the individual, this research highlights that our most effective weapon against HIV is a cheap piece of latex – the (not-so) humble condom. As well as providing effective protection against HIV, when used correctly the condom can also protect against other STIs, such as gonorrhoea and chlamydia.
It is hoped that this study will encourage people at risk of HIV – especially men who have sex with men – to continue to use condoms to protect themselves and others from HIV, as well as having regular HIV testing.