BHIVA clinicians Retroviruses feedback - Tuesday

This article is more than 24 years old.

Martin

Fisher, Consultant in HIV Medicine, Royal Sussex County Hospital, Brighton

Glossary

acute infection

The very first few weeks of infection, until the body has created antibodies against the infection. During acute HIV infection, HIV is highly infectious because the virus is multiplying at a very rapid rate. The symptoms of acute HIV infection can include fever, rash, chills, headache, fatigue, nausea, diarrhoea, sore throat, night sweats, appetite loss, mouth ulcers, swollen lymph nodes, muscle and joint aches – all of them symptoms of an acute inflammation (immune reaction).

observational study

A study design in which patients receive routine clinical care and researchers record the outcome. Observational studies can provide useful information but are considered less reliable than experimental studies such as randomised controlled trials. Some examples of observational studies are cohort studies and case-control studies.

primary infection

In HIV, usually defined as the first six months of infection.

toxicity

Side-effects.

naive

In HIV, an individual who is ‘treatment naive’ has never taken anti-HIV treatment before.

Margaret

Johnson, Director of Royal Free Centre for HIV Medicine, Royal Free Hospital,

London

Anton

Pozniak, Consultant in HIV Medicine, Chelsea and Westminster Hospital, London

Caroline

Sabin, Statistician, Royal Free and University College Medical School, London

Individual abstract numbers link to the abstracts online at http://www.retroconference.org.

Where session titles are underlined, this link takes you to the list of all abstracts presented in that session.

Where presenter names are underlined, this presentation can be viewed online, and the link will take you to the list of sessions which can be viewed online.

Structured treatment interruptions

KA: The major session today covered

structured treatment interruptions. Did you feel the studies [oral session: abstracts 288-293

and poster session abstracts 354-365] clarified what is meant by an STI and when it might be useful?

AP: Although Bruce Walker said there’s one

type in acute infection and one in chronic infection I think there is one where

treatment has commenced in hyper-acute infection, one in so-called acute

infection and one in chronic infection.

KA: What’s the definition of hyper-acute

infection?

AP: When you’ve got someone before they

have actually converted to antibody. That’s where there appears to be the

highest chance of success.

MJ: So that was the very practical one,

where you had to catch them before they have fully seroconverted, which must

apply to what percentage?

AP: Very small. But it’s practical when

you’ve got somebody like Eric Rosenberg who really looks at the patients to

identify such cases.

MF: Even then it depends on which antibody

test you use as to how early you are going to pick them up. So, just like we

are saying we are going to need a definition of STIs, I think we are going to

have to redefine primary infection to answer that.

MF: Yes, in terms of STIs there was the

hyper-acute versus acute and the acute versus chronic. There is also the [sub-division between]

during-virologic-success-having-a-break, or the treatment interruption during

virologic failure. The trouble is they were all hotch-potched together into one

amalgam when they are looking at very different issues.

AP: - and then there’s treatment

interruptions to try and prevent toxicity where you just say ‘let’s stop

because you are being so ill on all these pills’

KA: - which is probably the most common

reason for a treatment interruption at present -

AP - which they didn’t actually address at

all today.

MF: There were no presentations that looked

at whether intermittent therapy altered toxicity profile. Nothing.

KA: What do you mean by intermittent

therapy?

MF: Either pulsed therapy, as in the two

Fauci posters whose aims as presented at Durban were to reduce toxicity or to

reduce costs, yet it it struck me that there was no toxicity analysis and that

the level of virological and immunological follow-up that they were advising

might actually increase costs rather than reduce them.

CS: I also think, especially the short ones

that Fauci is recommending, which is seven days on, seven days off, on top of

the cost, I think it’s also going to reduce quality of life. I really feel that

having to worry about what day of the week is it, what week is it, whether you

should be on or off, actually may make things a hell of a lot worse.

AP: I strongly believe it’s not an issue

for the developing world. To say that it might be useful for the developing

world, without actually building any capacity and infrastructure in the

developing world, is going to [make it very difficult to implement]. And I

agree with Martin, that it might cost a fortune to make sure people are doing

it all right and monitoring it all.

MJ: And I think when you talk about

‘quality of life’, the other thing is adherence. In the clinic, one thing that

I notice is that patients often, if they feel they have lots of toxicities and

it is interfering with quality of life, want to stop therapy. And very often it

focusses their minds as to why they feel better. No one has really addressed

what then happens for that group of patients when they go back on therapy.

CS: Well I think that is probably almost

the same group as patients with virological failure in the observational

databases because those people are choosing to stop therapy themselves, for

whatever reason, and probably a lot of those reasons could well be toxicity, or

quality of life issues. So I think we’ve got some information from

observational databases but we still don’t know, from any of those studies,

whether those treatment interruptions are actually beneficial, whether they are

harmful or whether they have no impact at all. We are really lacking that data.

MF: There was a presentation (abstract 292)

on using treatment interruptions in patients in so-called salvage therapy.

First of all - no definition of salvage. The patients actually had another

option – half of them did – they had NNRTIs to go to, and some of them were

given T-20. The bottom line for me was that he didn’t show that either just

switching the patients onto a new therapy or doing nothing, would

have ended up with the same situation. He tried to make out that having the

drug holiday improved the outcome in those people with one drug class left to

use, but actually he didn’t do that at all because there was no control to show

that that was the case.

CS: That’s actually a problem which was

common to almost all of the presentations we saw in that session. In very few of

them was there any form of control group. In the one presentation where there

was a control group, it was a silly control group to have anyway [abstract

289].

MF: They had been randomised 3 to 4 years

earlier so they had actually ceased to become a control group by the time the

STI element came into the study.

CS: So it was patients who hadn’t received

treatment. So they were comparing patients who had taken treatment for a while

and then undergone a treatment interruption compared to patients who hadn’t

ever received treatment rather than the probably more relevant comparison of

people who had started therapy at the same time and stayed on it. So there was

a lot of debate in the audience about the value of it and whether the treatment

interruption had any benefit whatsoever.

MF: One concern that I have is that one of

the main benefits everybody appears to be aiming for is improved immunologic

control yet the one consistent finding in every STI study is that your CD4

count drops, or at best, stays where it is. So, arguably, whilst with some of

the very early infection studies the viral load comes down, there seems to be

no data to suggest any immunologic benefit that may have clinical relevance

yet.

KA: And if there is any contribution from

HIV-specific immunity to immunologic control of HIV, it’s certainly not being

reflected in those CD4 changes. And in all the other studies, those people are

very much a minority.

AP: In the Deeks study [abstract 292], 3

people got an opportunistic infection during the STI. Now I don’t know whether

they would have done in any case if they had stayed on HAART, but that was a

worry to me. And then some other people went onto get non-Hodgkins lymphoma and

other things after resuming therapy. The CD4 drop was 88 cells and the viral

load rose by 0.74 log. Now, you might be OK if you did a controlled trial with

people who had CD4 counts at 600 because if you lose 88 cells its not so

disastrous but what about all those people who are grabbing STIs at 200?

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MJ

lang=EN-US>: You probably wouldn’t be on treatment at 600

CS: In the work we’ve been carrying out with

Veronica Miller (abstract 365), the people who start off with 600 CD4 cells are the ones who

have the biggest drops.

MF: There’s a poster here to show that

people who had the biggest drops had had the biggest rises in CD4 count when

they started treatment.

CS: So unfortunately, whatever your nadir

was before treatment, the moment you stop treatment, your CD4 count plummets

back down towards that level.

AP: Which just goes to show that thymus

regeneration might take a long time.

MF: Similarly, [looking at] the viral load data, in one

of the presentations, the people with the highest viral loads were the people

who rebounded the quickest and to the highest [level]. Which all seems to point to the

fact that when you interrupt therapy you go back to where you were before,

which for some people may be fine if they started treatment very early. But for

people who started when they were sick, which as we discussed yesterday is a

significant number of people in the UK, then the risk of having an STI may well

outweigh any theoretical advantages.

AP: The bottom line is that if you are

going to have an STI, go into a study.

All: But there aren’t any.

AP: Well, you really need to be monitored

very carefully if you decide you are going to have one.

MF: the good bit of news I thought was that

every study that looked at it showed no evidence of development of resistance.

AP: But they didn’t look at minority

species. You may accumulate minority species over time – one mutation here, one

mutation there – and we don’t know whether that happens because the tests

they’re using are too crude. There’s a very good paper by a guy called Hance (abstract 293

showing they can detect minority species in people who have reverted to

so-called wild type during a STI

KA: What’s the sensitivity, what’s the sort

of minority that is detectable?

AP: 1% for people with L90 and 1% for

indinavir mutations.

MJ: There is one case of resistance, in the

Fauci study, in the one third of time off, two thirds on treatment. One patient

who was on quadruple therapy, who perhaps might have had some nucleoside

treatment previously - they don’t characterise that patient –

developed NNRTI resistance both genotypically and phenotypically.

CS: I think there’s a real need for a

randomised trial. As a statistician, I’m a great fan of observational databases

but we are having terrible problems trying to work out whether treatment

interruptions are good or bad. I don’t believe we will ever really know the

answer from observational  data. We

really do need a trial.

MF: It comes back down again to doctor-

patient communication, as well, and the need for openness and discussion, to

discuss the risks as well as the benefits and do it in partnership rather than

in isolation without being aware of the potential down side.

Transmission and primary infection

MF: I have to say that what I thought was

interesting was in the study on gay men in Amsterdam (abstract 261), where the

frequency with which people engaged in unsafe sex was related to their last

surrogate marker responses and it appeared that, behaviourally, people were

getting the wrong message from an undetectable viral load - that they were

unable to transmit - which is clearly not the case as today’s poster session

showed, in that a quarter of people with undetectable viral load have detectable

virus in another compartment, especially the male genital tract, which may be

transmissable.

AP: I think the most important thing from

the Rakai study which looked at the probability-per-act of transmission in

HIV-discordant couples in Uganda(abstract 266) was that if you were a

circumcised, HIV-negative man with an HIV-positive partner you didn’t get HIV

from your positive partner if you were circumcised. That was quite interesting.

There was no risk of acquisition in that study.

CS: The interesting thing I found in that

study is that they found a very strong age effect, with the probability of

transmission declining with age.It wasn’t just a function of the fact that

younger people tended to have more sex, it was actually per act so there is something

extra going on. One of things we were discussing at the time was whether,

perhaps, there is a bias there to do with the way people discuss their sexual

behaviour and maybe in younger couples they may be under-reporting or

over-reporting sexual acts.

AP: It may also be physiological. In

younger people the vagina or penis may not be so keratinised or intercourse may

be more traumatic.

MF: Or it could be that, given that there

was also an association in that study with herpes simplex infection, the natural

history with herpes simplex is that episodes get less frequent as one gets

older and that may be what is causing the relationship with younger age and HIV

transmission.

KA: Certainly in terms of acquisition in

women, younger age is shown to be very strongly correlated with the risk of

infection, and more specifically, age of sexual debut in women, because the

cervix is immature and more vulnerable to infection.

AP: There was a very interesting paper from

the CDC, Atlanta arm on the prevalence of mutations associated with decreased

antiviral drug susceptibility amongst recent and chronically HIV-infected

persons in 10 US cities from 1997-1999 (abstract 265). What they showed was

that the rate of NNRTI resistance - primary or secondary mutations - was 1.7%,

NRTIs 6.3% and PIs 1.2% and they found that there was higher prevalence in men

who have sex with men, Caucasians and partners of people who are on

antiretrovirals.

CS: Presumably the first two just related

to access, and they are more likely to have partners who are being treated as

well.

AP: Now, I was going to ask: if you had a

partner who was being treated and you had unsafe sex, would you take their

pills? That may be a factor, and then you get resistance because you’ve taken a

few pills but not very many.

KA: Do you think that knowledge about post

exposure prophylaxis is so widespread that people would actually be doing that

kind of ad hoc PEP?

CS: In some groups of people I should

think.

AP: I thought this was also very

interesting, that there was a variation geographically through the United

States. He said it was quite marked, although he didn’t give all the figures.

CS: There was a distinction between the

Western USA and the non-western area.....

MF: The UK data, which has been generated

through the MRC seroconverters study and Deenan Pillay’s lab in Birmingham,

suggests that there isn’t any variation within participating centres in the UK

.

MF: On the subject of primary infection

there was also a poster suggesting quite a high level of sexual transmission

preceding symptomatic infection (abstract 411). Traditionally, one of the

reasons for diagnosing primary infection is to reduce transmission but actually a

lot of the transmission is happening in the few days leading up to symptomatic

illness, but the peak of viremia is before symptoms occur. This peak occurs as

early as day five after infection.

KA: There has been epidemiological

modelling which has looked at the contribution of high rates of partner change

amongst people in primary infection which has suggested that this is the

primary motor of ongoing transmission amongst populations where there is

already a high prevalence. So it is not altogether surprising that they’re

detecting those levels of viraemia and cases of ongoing transmission.

CS: I guess the point that you’re raising

though is that trying to catch people and treat them is not going to have an

impact on the majority of those transmissions.

MF: While it may have an impact on

individuals, it may be naive of us to expect that it is going to have an impact

on populations.

CS: We pick up so few of those people

anyway at primary infection. And if you’ve missed the peak of viraemia because

it’s just happened a few days prior to that, then you may really not prevent

many of the new infections.

MF: I don’t know to what extent we are

missing it. I think we may be misdiagnosing it, and I think it may be

presenting to the wrong care provider who is lacking appropriate skills to

diagnose it. I think it may well be presenting to the healthcare settings but

it’s missed.

CS: So for example, GPs are not looking for

HIV in a person who they don’t perceive to be at high risk.

MF: And the current diagnostic tests we use

in the UK are not sufficiently clever to pick up recent infections.

When to start revisited

AP: For the BHIVA guidelines, I think

people should look at abstract 341, Long term survival after initiation of

antiretroviral therapy, which again shows no difference in the risk of death

between those starting above 350 and those starting between 201 and 350 CD4.

MF: In fact, there are two abstracts side-by side

both suggest that if you start therapy with a CD4 count of less than 200, then

you have an increased mortality [see also abstract 342].

AP: But over 200, there’s no difference in

this cohort of 201-to-350, or great than 350 – the Kaplan-Meier survival curves

were the same. But once you get below the 200 threshold, Julio Montaner’s shown

that, Andrew Phillips has shown that and now all these other studies are coming

through. Andrew Phillips is looking

at when to start in terms of surrogate markers responses to treatment. Julio

Montaner’s is in terms of survival

CS: Could I just intercede with something

which isn’t actually at this conference but which will be presented soon, which

is a huge meta-analysis of patients starting therapy and looking at their

responses according to their baseline CD4 count. And that’s going to be

presented at a meeting in Monte Carlo in the next couple of months at the

Cohorts meeting, which is pulling together data from all of these reports.

Adherence

KA: Have we learnt anything new about

adherence at this meeting?.

MF: What struck me with adherence was quite

a big paradigm shift away from trying to label which groups of people are

adherent or non-adherent, which clearly doesn’t work and doesn’t particularly

help people. And for the first time in HIV there were three randomised

studies looking at different interventions (abstracts 479, 480 and 481). One intervention

being an education program or individualised social support, one being an

antiretroviral information clinic with subsequent individualisation of therapy

based on lifestyle, and one being an internet alarm clock that would tell you

when to take your medication (abstract 480).

KA: It sent messages to people’s pagers.

People were actually given a pager by the clinic and the effect was compared

with individual counselling.

MF: Yes. Each of those studies suggested an

improvement in adherence. Though in two of those studies they followed

adherence longer term and it suggested that in the behavioural interventions or

the education programmes, the effect was lost by 6 months. What I think it

tells me is two things: one is that very different ways of tackling adherence

may all have an additive benefit; and secondly, that it’s no use just producing

that in the short-term, but that it needs to be incorporated as part of a

longer term adherence support program, rather than a one off programme for

people starting therapy.

CS: Did any of those studies take it one

step further and look at surrogate markers and response?

MF: Yes, one did

CS: And did that translate into benefit?

MF: Yes it did. They looked at the

relationship between adherence and time to development of an AIDS-defining

illness and found that every 10% difference in adherence rates was associated

with a 21% reduction in the risk of illness over 28 months of follow-up

[abstract 483], which suggests to me that spending money on adherence support

is highly cost effective.

Hepatitis B and C

AP: There was just one thing today I saw

today. Interferon, ribavirin and the use of ribavirin to boost ddI (abstract 308.

KA: What did you think about that?

AP: Well I think it’s interesting. You

might think if you are going to treat people with hepatitis C and HIV disease,

you might put ribavirin into the formula [where it is synergistic rather than antagonistic with anti-HIV drugs].

KA: Is there a case, given we

don’t really know whether to treat for hep C first or HIV first, to use ddI as

a sort of boosted monotherapy for HIV, given the antagonism between other NRTIs

and ribavirin [and the much higher IC90 achieved when it's co-dosed with ribavirn and alpha interferon], whilst using ribavirin plus interferon to initially deal with

hepatitis C.

AP: That’s an interesting concept but the

data from the hep C cohort studies suggests that you may need to control your

HIV disease first.

KA: - but Caroline is very keen to have a

randomised trial on this question!

AP: You might need to do that. There is

some data to suggest that that is probably the thiing to do – control your HIV

disease and then treat the hep C. Because if you try and treat hepatitis C with

uncontrolled advanced HIV disease, you have a reduced chance of clearing HCV.

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CS: The only concern is that, as we were

saying yesterday, is that because the HIV treatments [are] such long-term, life-long

things, you are going to be giving people three drugs, say, and then adding in the

ribavirin and interferon on top of that.

AP: I think that that’s OK if you stabilise

yourself on the HAART regimen and you are used to it and your lifestyle is

fine, then you can start doing that. The thing that might put me off ever going

on HAART might be a terrible experience on interferon/ribavirin, leading me to

think that all this treatment for my disease is all completely hopeless. That’s

just a thought, not based on any data whatsoever!

Efavirenz versus nevirapine

KA: There

was some provocative data from Andrew Phillips comparing clinical outcomes on

efavirenz or nevirapine-containing HAART in the EuroSIDA cohort [(abstract 324].

What did you think of it?

MF: The EuroSIDA data suggested that in

a  population which was very largely

treatment-experienced (about 95% had prior nucleoside and/or protease

experience), that when other factors were controlled for, efavirenz appeared to

out-perform nevirapine.

As Professor Phillips quite wisely pointed

out, it was observational data and one needs randomised trials. Nonetheless, it

was provocative data. My worry would be that this isn’t the population in which

non-nucleosides have been widely used in the UK, and given

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that we are using them predominantly in

naive individuals, we may have to wait for prospective trials to draw such

conclusions.

AP: And I wonder whether the nucleoside use

was controlled for, because a lot of people used to give nevirapine, ddI & d4T

which was more difficult to take because of the adherence on the old ddI, and a

lot of people gave efavirenz/Combivir because of the history of how it was

studied in DMP-006 and other trials. So what I would say to Andrew Phillips

would be: have a look at the database and match up the d4T/ddI with the AZT/3TC

– because you may not find a difference then.

CS: I think we

should watch this space because I’m sure there are studies out there which are

now trying to look at this in naive patients [Editorial note: the 2NN study is

currently comparing 2 NRTIs plus nevirapine alone, efavirenz alone or efavirenz

plus nevirapine in treatment naïve patients]. Again, one of the problems with

observational data is that you really have to be careful about the

interpretation. If we see the same trend appearing in three or four databases

then maybe there really is something in it, it may not simply be a function of

bias.