Targeted
viral load testing to confirm treatment failure reduced unnecessary treatment
regimen switches four-fold compared to clinical-immunological criteria alone
(viral load <1000 copies/ml 12.4% and 46.9%, p<0.001, respectively) among
250 patients in six African countries according to Kim C.E. Sigaloff and
colleagues in a cross sectional analysis of a multicentre prospective
observational study published in the advance online edition of the Journal of Acquired Immune Deficiency
Syndromes.
However,
switching on the basis of confirmatory viral load testing did not reduce the
risk of drug resistance.
Nucleoside
reverse transcriptase inhibitor (NRTI)-associated cross resistance was seen in
close to 50% (87) of the 183 specimens available for genotypic analysis and did
not differ by the type of failure identification used (clinical-immunological
failure alone or with the addition of targeted viral load testing).
NRTI
cross-resistance and the accumulation of thymidine analogue mutations (TAMs)
were both associated with length of time on ART and zidovudine (AZT) use;
tenofovir (TDF) use was additionally linked to NRTI cross-resistance.
The
presence of at least one clinically significant mutation in 88% after
first-line failure suggests late failure detection, the authors noted.
Increased
access to first-line antiretroviral treatment in sub-Saharan Africa
over the past decade has shown good short-term results. Long-term follow-up
remains limited. Treatment failure for some is inevitable, increasing the risk
of HIV-related morbidity and mortality.
Recent
World Health Organization (WHO) guidance supports the use of viral testing if
feasible to improve identification of treatment failure. Financially and
logistically this is impossible in most resource-poor settings. So reliance on
clinical criteria and CD4 cell counts is the norm for clinicians to determine
treatment failure and help guide switches to second-line regimens.
Studies
have shown use of clinical and immunological criteria alone in African
countries cannot accurately determine virological failure in first-line
treatment.
WHO recommends a switch in treatment if the CD4 count falls by more than 50%
from its previous peak level, or if the CD4 count falls to its pre-therapy
baseline (or below); or if it persistently remains below 100 cells/mm3.
Immunological
criteria for switching have been found to result in unnecessary switches to
second-line treatment, however.
For
example, a study
conducted in Uganda found that only 18 of 125 immunological non-responders
receiving antiretroviral treatment had a detectable viral load. The
investigators noted noted that 107 patients would have switched
treatment unnecessarily, at an extra cost of $75,000 a year for drugs alone.
Incorrect
diagnosis of treatment failure in the absence of a confirmatory viral load test
leads to inappropriate switching to more expensive and toxic second-line
regimens.
Late
failure detection can result in considerable resistance to ARVs, notably
cross-resistance within the NRTI drug class. This can then hamper the
effectiveness of standard second-line regimens comprised of a dual backbone of
NRTIs and ritonavir-based protease inhibitor(PI) prevalent in resource-poor
settings. Benefit would derive primarily from the boosted PI so patients would
essentially be getting monotherapy, so lowering the barrier of PI resistance.
The
objective of the PharmAccess African Studies to Evaluate Resistance Monitoring
(PASER-M) multicentre prospective observational study of HIV-infected adults
who get ART at 13 clinical sites in Kenya, Nigeria, South Africa, Uganda,
Zambia and Zimbabwe is to look at the consequences of the use of clinical
immunological criteria to determine treatment failure and guide treatment
switching.
The
authors undertook a cross-sectional analysis to look at how frequently
unnecessary changes to second-line regimens were made, the patterns of
resistance that developed in those on failing first-line ART and the risk
factors for the accumulation of NRTI-associated mutations.
Participants
were included if switched to second-line ART regardless of criteria to
determine failure. Comparisons were made according to clinical-immunological
failure in the absence of viral load testing (CIF only group) and CIF with
local targeted viral load testing (targeted VL group).
Definition
of an unnecessary switch to second-line ART used three reference viral load
cut-offs: <400 copies/ml; <1000 copies/ml; and the WHO recommended
threshold of <5000 copies/ml.
NRTI
cross-resistance was defined as the presence of ≥two TAMs, the TDF-associated
mutations K65Ror K70E, or the Q151M complex.
Of
the 250 patients with clinical immunological failure switched to second-line
ART between March 2007 and September 2009 targeted viral load testing was used
in 75% (186) and 25% (64) with CIF alone.
Median
time on ART was 28.3 months and 25.3 months in the CIF alone and targeted VL
groups, respectively.
At
a viral load cut off of <1000 copies/ml 53 (21.2%) had unnecessary switches
of which 30 (46.9%) were in the CIF alone group and 23 (12.4%) in the targeted
VL group. At the more stringent cut-off of <400 copies/ml targeted viral
load reduced unnecessary switches six-fold (46% compared to 8.6%, p<0.001).
Mutations
associated with cross-resistance to NRTIs in 48% of the participants comprised
multiple TAMs (37%), K65R (7.1%), K70E (3.3%) or Q151M (3.3%).
One
of the major strengths of the study, note the authors, is it involves a large
international sample of patients diagnosed with treatment failure at a diverse
range of clinics representative of current clinical practice in a number of
African ART programmes.
Their
study “underscores the importance of targeted viral load testing to maximise
the clinical benefits of first-line regimens and prevent unnecessary switches
to expensive second-line ART”. Late
detection of treatment failure resulted in extensive cross-resistance to NRTIs
limiting treatment options and impairing the effectiveness of [standard]
second-line regimens.
The
authors conclude “The development of more affordable, point of care viral load
assays is a public health priority for resource-limited settings.”