Treatment cascades and viral load surveys show how African countries can maximise prevention benefits of HIV treatment

David Maman presenting at CROI 2015. Photo by Liz Highleyman, hivandhepatitis.com

Reaching ambitious HIV prevention targets in South Africa will require intensified efforts to engage and retain men and young people in care, in order to increase the proportion of people on HIV treatment with suppressed viral load, a national study has found. The results were presented on Thursday at the Conference on Retroviruses and Opportunistic Infections (CROI 2015) in Seattle, USA.

Another study, conducted in three countries in sub-Saharan Africa, showed that to maximise the preventive effect of treatment, efforts to expand treatment coverage need to focus on those with the highest viral load off treatment – mainly people who are already eligible for treatment under current guidelines.

South Africa already has the largest antiretroviral treatment programme in the world. Over the past decade the country has scaled up from around 50,000 people on treatment in 2004 to more than 2.1 million people on treatment by the end of 2012, and has built an extensive programme for prevention of mother-to-child HIV transmission (PMTCT).

Glossary

virological suppression

Halting of the function or replication of a virus. In HIV, optimal viral suppression is measured as the reduction of viral load (HIV RNA) to undetectable levels and is the goal of antiretroviral therapy.

treatment cascade

A model that outlines the steps of medical care that people living with HIV go through from initial diagnosis to achieving viral suppression, and shows the proportion of individuals living with HIV who are engaged at each stage. 

linkage to care

Refers to an individual’s entry into specialist HIV care after being diagnosed with HIV. 

mathematical models

A range of complex mathematical techniques which aim to simulate a sequence of likely future events, in order to estimate the impact of a health intervention or the spread of an infection.

sample

Studies aim to give information that will be applicable to a large group of people (e.g. adults with diagnosed HIV in the UK). Because it is impractical to conduct a study with such a large group, only a sub-group (a sample) takes part in a study. This isn’t a problem as long as the characteristics of the sample are similar to those of the wider group (e.g. in terms of age, gender, CD4 count and years since diagnosis).

However, as well as the largest treatment programme in the world, South Africa also has the largest number of new infections. 400,000 people in South Africa are estimated to have been infected with HIV in 2012 alone. Reducing the rate of new infections is critical to ensure the long-term sustainability of the existing treatment programme, as well as for the prevention of future illness and death.

Epidemiological modelling has projected that South Africa – and neighbouring countries – could achieve big reductions in HIV incidence if the number of people with fully suppressed viral load on treatment can be increased. Until now, South Africa lacked a robust estimate of how many people have suppressed viral load, and which groups of people are more likely to be linked to care and retained on treatment.

Simbarashe Takuva of the National Institute for Communicable Diseases presented results of a study designed to show how South Africa's 'treatment cascade' is performing, and where improvement is needed in order to maximise the preventive benefit of antiretroviral treatment.

In the absence of an integrated national surveillance system the research group, supported by epidemiologists from Public Health England, combined population data from the National Household Survey and Vital Registration Data from 2012 to estimate the size of the population of people living with HIV. They also used laboratory data from the National Health Laboratory Services to estimate the numbers engaged in care (using CD4 count measurements as a proxy) and on treatment and virally suppressed (using viral load measurements as a proxy).

The study found that almost half of all South Africans with HIV are not linked to care, but was unable to show what proportion of diagnosed people are not linked to care. However, among those linked to care and on treatment, 75% are virally suppressed.

Treatment cascade, South Africa, 2012

Women

Men

Living with HIV

6.42 million

100%

3.87 million

2.53 million

Linked to care

3.3 million

51%

58%

39%

On antiretroviral treatment

2.185 million

34%

38%

27%

Virally suppressed

1.6 million

25%

28%

19%

The study found a major disparity by gender, and also found substantial disparities by age group. Young people aged 15-24 were much less likely to be on treatment and virally suppressed than people aged 25-49, despite similar rates of linkage to care. Although this may be partially explained by more recent HIV acquisition and hence higher CD4 cell counts in this group, the treatment gap in this group remains very large. Young people aged 15-24 were 24% less likely to be virally suppressed than their older counterparts.

Treatment cascade by age group, South Africa, 2012

 

0-14

15-24

25-59

50 and over

Living with HIV

369,000

720,000

4.7 million

610,000

Linked to care

46%

51%

47%

58%

On treatment

45%

17%

32%

48%

Virally suppressed

27%

10%

23%

19%

Viral suppression ratio

0.77*

0.76*

0.94*

1.00

*P<0.001 vs reference (50 and over age group)

The findings showed that more focus is needed on improving engagement with care, especially among men and young people, said Simba Takuva, together with improving opportunities to test for HIV.

Population viral load

A three-country survey of viral load measurements in people not taking antiretroviral treatment found that any attempt to maximise the preventive benefit of treatment probably needs to focus first on getting those individuals already eligible for treatment onto treatment, rather than seeking to expand treatment eligibility criteria to reflect results of the Temprano study presented this week.

The study, carried out in three districts where Médecins sans Frontières provides HIV treatment in care in Kenya, Malawi and South Africa, looked at a range of correlates of high viral load in people not taking antiretroviral treatment in each setting. (A companion study on viral load in breastfeeding women was presented earlier in the week).

Data on viral load were gathered after a household survey tested a random sample of households for HIV and then provided CD4 cell and viral load testing for those who tested positive. People who tested positive were asked whether they were on treatment. In total, 19,005 people were tested across the three districts, of whom 3938 were positive and had a viral load test.

HIV prevalence ranged from 17% in Malawi to 25% in South Africa. Sixty per cent of people tested were eligible for treatment under national guidelines in Kenya, compared to 69% in South Africa and 80% in Malawi. This difference was driven chiefly by national policies on antiretroviral treatment for pregnant and breastfeeding women. Whereas 62% of people with HIV had a viral load below 1000 copies/ml in Malawi, only 40% had a viral load below 1000 copies/ml in Kenya.

When evaluating median viral load by CD4 cell strata, the study found that although the median viral loads at all strata represented a risk for transmission, those untreated people with CD4 cell counts below 500 cells/mm3 were far more likely to have viral loads above 100,000 copies/ml, the level associated with a very high risk of onward transmission. Whereas less than half of those with CD4 counts above 750 cells/mm3 had a viral load above 10,000 copies/ml, and less than 15% a viral load above 100,000 copies/ml, just over half of those with CD4 counts below 350 cells/mm3 had viral loads above 100,000 copies/ml. The median viral load in this CD4 cell stratum was 108,407 copies/ml. Mean viral load was significantly lower in people with CD4 counts over 500 cells/mm3 at each site (p < 0.001). The study also found that untreated men had significantly higher viral load than women.

References

Takuva S et al. Disparities in engagement within HIV care in South Africa. Conference on Retroviruses and Opportunistic Infections, Seattle, abstract 154, 2015.

View a webcast of this presentation.

Maman D et al. Population viral load in three high HIV prevalence settings in sub-Saharan Africa. Conference on Retroviruses and Opportunistic Infections, Seattle, abstract 153, 2015.

View a webcast of this presentation.