A
study from Calgary in Canada has found that people who were in continuous
care for a year, although representing nearly 80% of all people with diagnosed HIV, contributed less than 30% of the total viral load within the diagnosed HIV-positive community.
It
found that while people who were newly diagnosed accounted for 37.5% of the total
viral load, the other 33% was accounted for by a mix of people arriving from
other areas, returning to care after an absence, moving away or being lost to
care.
What
the researchers in this study call ‘churn’ – a term used to mean
patient movement in or out of a community – may therefore be contributing about
a third of the total infection potential within that community, if conditions
are similar to those in Calgary.
Given
that absence from and loss to care are potentially modifiable, efforts
to ensure that people living with HIV stay in care could form a significant part of efforts
to use HIV therapy to reduce HIV incidence (so-called 'treatment as prevention'
or TasP).
Background
One
of the most frustrating modern problems in HIV prevention is that while
successful HIV treatment that reduces a person’s HIV viral load to
undetectability appears drastically to reduce the likelihood of their passing HIV on to
others as individuals, this does not always translate into falls in the rate of new HIV
infections (incidence) in the community.
The
UK is one example of a country where, despite the fact that HIV testing rates are
improving and a majority of people with HIV are thought to be on antiretroviral
therapy (ART) with undetectable viral loads, HIV
infections in gay men and heterosexual people show no signs of declining.
Some
epidemiologists have suggested that the
majority of new infections within communities come from people who are undiagnosed; estimates of the proportion of
HIV passed on by people who have themselves recently acquired HIV range
from less than 10% to about 50%.
These
have led to calls for regular HIV testing and referral to care to be given
a high priority as the aim of HIV prevention campaigns.
Getting people diagnosed may not be the only
crucial step in what has been called the ‘HIV care cascade’. Supporting people to stay
in care and on ART may be just as crucial.
This may particularly
apply to countries without centralised healthcare systems such as the US,
where the Centers for Disease Control estimate that less than 30% of the HIV-positive population is on ART with an undetectable viral load.
It
has been assumed that this is due to socioeconomic inequalities and high
numbers of people with HIV in the US not having health insurance, and
therefore being unable to access regular care. More recent US studies presented at
this year’s Conference on Retroviruses and Opportunistic Infections (CROI), however, suggest that high
levels of patient mobility, or too-strict definitions of what constitutes viral
suppression, could be leading to overestimates of how many people are not in
regular care.
The study
The
Canadian study is the first to try to quantify viral load not only in
the recently diagnosed and people in regular care, but also in people who
leave or return to care.
It
finds that while the newly diagnosed form a significant proportion of those
likely to pass on HIV, people moving into or out of care also contribute a
high proportion.
The
study had a couple of advantages over US models. Firstly, being Canadian, it was
able to study viral loads in people in a centralised and free healthcare
system. Secondly, HIV care in Canada is generally provided by large specialist
clinics and the clinic in Calgary is isolated, with the next one being 180
miles north in Edmonton. It was thus able to study people moving in and out of a
relatively defined population.
Results
The
researchers first looked at general diagnosis and viral load trends between
2001 and 2011. The total number of people in HIV care in Calgary doubled in this
time, from 757 to 1423. The proportion on ART increased from 62 to 81%, and the
proportion with viral loads under 50 copies/ml doubled from 32 to 66%.
However,
the rate of new diagnoses increased from 4.4 to 5.8% a year and the mean viral
load per patient in care did not significantly change: it was 32,000 copies/ml in 2001
and 30,000 copies/ml in 2010.
At
first sight this seems a paradoxical result: how can the average viral load stay the same while the proportion who are undetectable doubles? The
answer is that as the proportion in regular care who are
virally suppressed increases, so the people who are not virally suppressed
are ever more likely to be those who are newly diagnosed or not in regular care.
To
examine exactly which people have detectable viral loads, the researchers
took a closer look at everyone seen for care in 2009 at the Calgary clinic
and split them into six groups. In all groups, average viral load was the mean
of all viral load tests taken during 2009; people with an undetectable viral load were treated
as having viral loads of 50 copies/ml exactly, so someone with several viral
load tests would have to be undetectable in all of them to be classed as having a mean viral load of 50 copies/ml during 2009.
1.
People in
continuous care through the year. These formed 78.7% of patients. Sixty-eight
per cent had viral load under 50 copies/ml and the mean viral load in this
group was 10,500 copies/ml. When the viral loads of everyone in this group
were added together, they carried only 29.5% of the total community viral load
in the clinic’s patients.
2.
Newly diagnosed
people. These formed only 6.6% of patients. However, because the mean viral
load in this group was 162,000 copies/ml, the proportion of the total viral load
carried by these patients was 37.5%. Viral loads in
undiagnosed people within the community are likely to be similar.
Between them, these two groups carried
two-thirds of the total viral load burden, so to speak, of the community. The
other third was carried by four groups who also, without exception, had higher
mean viral loads than those in continuous care.·
3.
New arrivals.
These are people who had been diagnosed elsewhere but had moved to Calgary.
They formed 4.8% of all patients but had a slightly higher mean viral load than those in care and were only half as likely to have viral loads under 50
copies/ml as people in care in Calgary all year.
4.
Returners.
These were people who had dropped out of care in Calgary but had then returned
some time later. Although they only formed 4.2% of people seen for care in
2009, they carried 16.6% of the total viral load burden: this was because their
mean viral load was almost as high as the newly diagnosed, at 107,000
copies/ml. Three-quarters of this group had been lost to follow-up and, of
these, over 80% said they stayed in Calgary but did not attend medical care.
5.
Leavers. These
are people who moved out of the area to another known clinic. These formed 2.6%
of patients and only carried 2.4% of the total viral load burden. Even so, only 43%
had viral loads under 50 copies/ml throughout the year compared with 68% in continuous care; their mean viral load
was 25,000 copies/ml.
6.
Lost to care.
These were people who stopped attending care ('lost to follow-up'). Although they
only formed 3.1% of all patients they carried 8.5% of the total viral load
burden and their mean viral load was 73,000 copies/ml.
What
this means is that in total the 15% of patients who were neither in continuous
care nor newly diagnosed shared between them 33% of the total viral load of
people who attended care in 2009. Furthermore, while only 19% of those in
continuous care had viral loads over 200 copies/ml (which was regarded by the
researchers as the criterion for viral ‘suppression’), 68% of those in discontinuous
care did, and 82% of those who were either lost to follow-up (at their last
viral load test) or who returned from being lost to follow-up.
Conclusions
On
the one hand, as the researchers point out, this means that simply looking at
the proportion of people who have suppressed viral load in continuous care may bear
no relation to the proportion suppressed in the community at large, even if the
proportion who are undiagnosed is estimated with reasonable accuracy. It also
shows that people in discontinuous care, particularly those lost to
follow-up, may form nearly as large a part of the pool of people who have a high risk of passing on HIV to others (infectiousness) as those who are undiagnosed do.
On
the other hand, it also means that, since the proportion of people lost to
follow-up can be reduced, and people can be brought back into care, by more
intensive tracing and follow-up methods, this potentially infectious pool can
be reduced.
There
is one caveat from this study: as a group of researchers have recently
remarked, “community viral load” in itself is not necessarily an accurate guide
to the ongoing likelihood of infection in populations. This is because other
factors may affect incidence such as socioeconomic disadvantage, behaviour
change, demographic changes, the distribution of risk behaviour within members
of the HIV-positive community and the overall prevalence of HIV within the
local population – including among the undiagnosed.
It
does however give a general guide as to the relative proportion of people
within the community who are not virally suppressed and who therefore may be capable of infecting others.