EPIDEMIOLOGY AND SOCIAL SCIENCE
Can Highly Active Antiretroviral Therapy Reduce the Spread
of HIV?
A Study in a Township of South Africa
Bertran Auvert, MD, PhD,*†‡§ Sylvia Males,† Adrian Puren, MD, PhD,㛳 Dirk Taljaard,¶
Michel Caraël, PhD,# and Brian Williams, PhD**
Background: Calls have been made for the large-scale delivery of
highly active antiretroviral therapy (HAART) to people infected with
HIV in developing countries. If this is to be done, estimates of the
number of people who currently require HAART in high HIV prevalence areas of sub-Saharan Africa are needed, and the impact of the
widespread use of HAART on the transmission and, hence, spread of
HIV must be assessed.
Objectives: To estimate the proportion of people eligible for combination antiretroviral therapy and to evaluate the potential impact of
providing HAART on the spread of HIV-1 under World Health Organization (WHO) guidelines in a South African township with a high
prevalence of HIV-1.
Design: A community-based cross-sectional study in a township
near Johannesburg, South Africa, of a random sample of approximately 1000 men and women aged 15 to 49 years.
Methods: Background characteristics and sexual behavior were recorded by questionnaire. Participants were tested for HIV-1, and their
CD4+ cell counts and plasma HIV-1 RNA loads were measured. The
proportion of people whose CD4+ cell count was less than 200
cells/mm3 and who would be eligible to receive HAART under WHO
guidelines was estimated. The potential impact of antiretroviral drugs
on the spread of HIV-1 in this setting was determined by estimating
among the partnerships engaged in by HIV-1–positive individuals the
Received for publication July 1, 2003; accepted November 26, 2003.
From *INSERM U88–IFR 69, Saint-Maurice, France; †AP-HP, Hôpital
Ambroise Paré, Boulogne-Billancourt, France; ‡Université de Versailles,
Saint-Quentin-en-Yvelines, France; §UFR médicale Paris, Ile-de-France–
Ouest, Garches, France; 㛳National Institute for Communicable Diseases,
Johannesburg, South Africa; ¶Progressus CC, Johannesburg, South
Africa; #UNAIDS, Geneva, Switzerland; and **16 rue de la canonnière,
Geneva, Switzerland.
Supported by the Agence Nationale de Recherche contre le SIDA (ANRS2002-1265), Paris, France; National Institute for Communicable Diseases,
Johannesburg, South Africa; and Institut National de la Santé et de la
Recherche Médicale, Paris, France.
Reprints: Bertran Auvert, INSERM U88, 14, rue du Val d’Osne, 94415 SaintMaurice Cedex, France (e-mail: bertran.auvert@paris-ouest.
univ-paris5.fr).
Copyright © 2004 by Lippincott Williams & Wilkins
proportion of spousal and nonspousal partnerships eligible to receive
HAART and then by calculating the potential impact of HAART on
the annual risk of HIV-1 transmission due to sexual contacts with
HIV-1–infected persons. The results were compared with those obtained using United States Department of Health and Human Services
(USDHHS) guidelines.
Results: The overall prevalence of HIV-1 infection was 21.8%
(19.2%–24.6%), and of these people, 9.5% (6.1%–14.9%) or 2.1%
(1.3%–3.3%) of all those aged 15 to 49 years would be eligible for
HAART (ranges are 95% confidence limits). In each of the next 3
years 6.3% (4.6%–8.4%) of those currently infected with HIV-1 need
to start HAART. Among the partnerships in which individuals were
HIV-1–positive, only a small proportion of spousal partnerships
(7.6% [3.4%–15.6%]) and nonspousal partnerships (5.7%, [3.0%–
10.2%]) involved a partner with a CD4+ cell count below 200
cells/mm3 and would have benefited from the reduction of transmission due to the decrease in plasma HIV-1 RNA load under HAART.
Estimates of the impact of HAART on the annual risk of HIV-1 transmission show that this risk would be reduced by 11.9% (7.1%–
17.0%). When using USDHHS guidelines, the proportion of HIV-1–
positive individuals eligible for HAART reached 56.3% (49.1%–
63.2%) and the impact of HAART on the annual risk of HIV-1
transmission reached 71.8% (64.5%–77.5%).
Conclusions: The population impact of HAART on reducing sexual
transmission of HIV-1 is likely to be small under WHO guidelines,
and reducing the spread of HIV-1 will depend on further strengthening of conventional prevention efforts. A much higher impact of
HAART is to be expected if USDHHS guidelines are used.
Key Words: HAART, HIV, South Africa, CD4+, viral load, transmission
(J Acquir Immune Defic Syndr 2004;36:613–621)
S
ub-Saharan Africa remains the region most severely affected by HIV/AIDS. Approximately 3.4 million new infections occurred in 2001, bringing the total number of people
living with HIV/AIDS in this region to 28.1 million. In South
Africa, the prevalence of HIV-1 infection is among the highest
in the world, with almost 1 in 9 South Africans living with
HIV/AIDS.1
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
613
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
Auvert et al
In developed countries, striking improvements have
been reported in the health status and life expectancy of HIVinfected patients as a result of the widespread use of antiretroviral therapy (ART).2–10 Ninety percent of people infected
with HIV live in the developing world, however, where only
4% of those who need ART currently have access to the drugs
they require.11 Several studies have evaluated the feasibility of
delivering ART to patients in resource-limited settings,12,13
but despite international pressure to implement highly active
antiretroviral therapy (HAART) in such countries, treatment
requirements have yet to be precisely characterized. In developing countries with high HIV prevalence, such as South Africa, the fraction of the population that would be eligible for
HAART under World Health Organization (WHO) guidelines11 is not precisely known. It is also not known how this
fraction will change if the United States Department of Health
and Human Services (USDHHS) guidelines14 are used. Such
information is needed to calculate the cost of scaling up ART
and to prepare health systems to deliver these treatments. In
addition, the potential impact of the widespread use of antiretroviral drugs on the spread of HIV remains unclear and requires evaluation. There are biologic and epidemiologic reasons to believe that ART will reduce sexual transmission of
HIV. Biologic studies have shown that antiretroviral drugs decrease HIV in seminal fluid15 and in cervicovaginal secretions.16 An epidemiologic study of discordant couples has
shown that the use of zidovudine by infected men was associated with a 50% reduction in the risk of transmission of HIV to
their female sexual partner,17 suggesting that the wide use of
HAART would slow down the spread of HIV in the countries
where the route of transmission is mainly heterosexual.
The objectives of this study are to estimate the proportion of the population needing HAART in a township in South
Africa under WHO guidelines, to estimate the short-term impact of providing ART on the spread of HIV, and to assess the
impact of using USDHHS guidelines on these estimations.
MATERIALS AND METHODS
Survey
In April 2002, a population-based cross-sectional study
was conducted in a township 40 km south of Johannesburg,
South Africa. Households were selected by a 2-stage random
sampling technique. Index houses were randomly selected
from a map obtained from the local municipal offices. Using
each index house as a starting point, a cluster of households
was identified by starting to the right of the index house and
counting households around the street block and adjacent
street blocks until 50 households had been reached. A selfweighting random sample of 20 households was then chosen
from each cluster. All men and women aged 15 to 49 years who
slept in the selected households the night before the study
614
team’s visit were eligible for inclusion in the study. The consent form was presented in the language of the respondent,
who was invited to take part in the study, and those who agreed
were asked to sign the consent form. The response rate was
68%. Eligible participants were transported to a local facility
for the interviews and the collection of blood and urine
samples. If eligible participants were not at home, the study
team made up to 3 repeat visits on different days at different
times. The field work was done in the late afternoon, when
residents returned from work, so as to reach as many residents
as possible. Field work was conducted on Monday to Thursday
and again on Saturday to ensure that people who work during
the week could be reached. When it was not possible for participants to go directly to the interviewing points or for household members who were not home, appointments were made at
times that suited the participants, and these appointments were
followed up.
The questionnaire used in this study was based on a
UNAIDS questionnaire.18 The interviewers completed the
questionnaire during a private interview in the preferred language of the interviewee. Data were collected on background
and behavioral characteristics. Sexual partners were divided
into spousal and nonspousal partners. The spousal partners
were partners to whom the respondents were married or lived
with as married. The nonspousal partners were all the other
partners. The questionnaire allowed for a detailed description
of all the nonspousal partners during the last 12 months,
including those with whom the respondent had only 1 sexual
contact. In addition, specific questions were asked about the
use of condoms during the last months with nonspousal
partners.
During the survey, participants with symptoms of sexually transmitted infections (STIs) were encouraged to go to the
local STI clinic for treatment. Participants who wished to
know their HIV status were offered a separate free enzymelinked immunosorbent assay (ELISA) test with pre- and posttest counseling to be arranged through the normal clinical
channels. Blood samples were tested for syphilis, HIV-1,
CD4+ count, and plasma HIV-1 RNA load. Urine samples
were tested for chlamydial infection.
When results were available, a trained nurse delivered
the syphilis and Chlamydia infection test results directly to the
participants. Participants with positive STI results were encouraged to seek treatment at the local STI clinic. Individuals
with fewer than 200 CD4+ cells/mm3 were included in a specific program that involved voluntary counseling and testing,
prevention of opportunistic infections, and access to ART.
Pregnant women were informed of the possibility of reducing
the mother-to-child transmission (MTCT) of HIV-1 during
pregnancy and childbearing. The cost of transportation to
health facilities where the MTCT program was available free
of charge was borne by the study.
© 2004 Lippincott Williams & Wilkins
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
Laboratory Procedures
Following the interview, trained nurses collected whole
blood and urine (first flow) samples. The urine samples were
stored at 4°C and then transported the next day to the laboratory, where they were stored at −70°C before being analyzed.
Two EDTA blood tubes of 20 mL of venous blood were taken
and transported at room temperature to the laboratory the following morning. One tube was centrifuged at 400g for 10 minutes, and 5 aliquots of plasma were then taken and frozen at
−70°C. The second tube of blood was used to determine the
CD4+ count.
An ELISA screen (Genscreen HIV1/2; version 2, BioRad, France and Wellcozyme HIV recombinant; Abbott Murex, Dartford, UK) and ELISA confirmation (Vironostika HIV
Uni-Form II plus O; BioMerieux, Boxtel, Netherlands) were
carried out on plasma to test for HIV-1 infection.
Plasma HIV-1 RNA load was determined by reversetranscription polymerase chain reaction (PCR) using an assay
designed to detect all M-group subtypes (Amplicor HIV-1
Monitor Test, version 1.5; Roche Diagnostic Systems, Branchburg, NJ).19
CD4+ cell counts were determined by BD FACSOUNT
analysis (BD Biosciences, Belgium).
Syphilis testing was performed using a rapid plasma reagin (RPR) screen (Macro-Vue RPR Card Tests; Becton Dickinson Microbiology Systems, Cockeysville, MD), followed by
a fluorescent treponemal antibody absorption (FTA-ABS)
confirmatory test (FTA-ABS Test Sorbent; BioMérieux,
France). A positive RPR (at any titer) and FTA-ABS were
taken as evidence of recently acquired and/or untreated syphilis. Urine samples were tested for Chlamydia infection using a
qualitative DNA amplification method (Amplicor CT/NG
Test; Roche Diagnostic Systems).
Ethics
Ethical clearance was obtained from the University of
Witwaterstrand Committee for Research on Human Subjects
on February 8, 2002 (protocol study no. M020103).
Data Management
Laboratory results and data generated from questionnaires were entered twice into a database (Microsoft Access,
Redmond, WA) by different people. The 2 entries were compared, and discrepancies were corrected. The data were
checked for inconsistencies. The files were then imported into
the Statistical Package for Social Sciences (SPSS 8.0 for Windows, Chicago, IL) and prepared for statistical analysis.
Statistical Methods
Estimation and Statistical Tests
The Clopper-Pearson method, which is known to produce slightly conservative 2-sided confidence intervals,20 was
© 2004 Lippincott Williams & Wilkins
HAART and the Spread of HIV
used to estimate confidence limits of proportions. (Unless otherwise stated, ranges give 95% confidence limits.) Medians of
quantitative data were calculated with their interquartile range
(IQR). Quantitative data were compared between subgroups
using the Kruskal-Wallis test. The correlation between plasma
HIV-1 RNA load and CD4+ count was analyzed using the nonparametric Spearman correlation coefficient and by regression
of log10 of the plasma HIV-1 RNA load against the CD4+
count.
Estimation of the Proportion of the Population Needing
HAART Under WHO Guidelines
Current WHO recommendations are that all patients
with CD4+ counts below 200 cells/mm3 should be offered
ART,11 and we used this criterion to estimate the proportion of
the 15- to 49-year-olds in that population currently requiring
HAART. To estimate conservatively the proportion needing to
start HAART in the next 3 years, we assumed that the CD4+
cell counts decline by an average 50 cells/mm3/y in untreated
infected subjects.21–24 As a result, the proportion of the 15- to
49-year-old population needing to start HAART in the next 3
years under WHO guidelines was determined by the proportion of the sample with CD4+ counts in the range of 201 to 350
cells/mm3.
Estimation of the Impact of HAART on the Short-Term
Spread of HIV-1 Under WHO Guidelines
Assuming that all people with CD4+ cell counts less than
200/mm3 receive HAART, we used 2 approaches to estimate
the short-term impact of providing HAART on the spread of
HIV-1. The first approach assumes that any HIV-1–positive
person receiving HAART will become less infectious. We thus
calculated among partnerships engaged in by HIV-1–positive
individuals the proportion of spousal and nonspousal partnerships eligible to receive HAART and, as a consequence, the
transmission of HIV-1 that could be reduced by HAART. In
the second approach, we used data on the annual risk of HIV-1
transmission as a function of plasma HIV-1 RNA load from a
study in Uganda25 to estimate the potential number of new
HIV-1 infections per year per HIV-1–infected person. From
this, we estimated the relative decrease in the annual risk of
HIV-1 transmission assuming that HAART reduces plasma
HIV-1 RNA load to fewer than 400 copies/mL. This approach
allows for the contribution to the spread of HIV-1 by individuals with low CD4+ counts, who are more likely to have high
plasma HIV-1 RNA loads.
Impact of Using USDHHS Guidelines
To assess the impact of using USDHHS guidelines on
the proportion of the population requiring HAART, we recalculated this proportion using USDHHS guidelines recommending initiation of HAART with CD4+ counts below 350
cells/mm 3 or a plasma HIV-1 RNA load above 55,000
copies/mL.14 The impact of HAART on the short-term spread
615
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
Auvert et al
of HIV-1 under USDHHS guidelines was estimated as described previously.
RESULTS
Prevalence of HIV-1, Syphilis, and
Chlamydial Infections
Background Characteristics and
Sexual Behavior
Most households have electricity (89.0% [85.8%–
91.6%]) and piped water (88.2% [84.9%–90.8%]), but flush
toilets are less common (31.2%, [27.2%–35.6%]). The median
(IQR) of the combined monthly income per household is 884
(500–1500) South African Rands, corresponding to about 88
(50–150) Euros. The median (IQR) number of persons per
household is 4 (3–5), and the median (IQR) number of persons
per room is 1.4 (1–2).
A total of 930 people agreed to participate in the survey.
The male-to-female ratio was 1:1.12. Background characteristics of the sample are given in Table 1. At the time of the interview, 90.9% (88.8%–92.6%) of all participants reported
having ever had sex. Among those who had experienced sexual intercourse, 34.7% (31.5%–38.0%) said that they had
never used a condom. Among men and women who had experienced sexual intercourse, 68.7% (63.8%–73.2%) and 48.6%
(43.9%–53.3%), respectively, reported having had at least 1
nonspousal sexual partner in the last 12 months. Among men
and women who were married or living as married, the corresponding figures were 32.6% (24.9%–41.3%) and 11.7%
TABLE 1. Background Characteristics of Men and Women
included in the Survey
Median age (IQR) years
Ethnic group (% in each
category)
Sotho
Tswana
Xhosa
Zulu
Other
Primary school
completed (%)
Occupation (% in each
category)
Employed
Student
Unemployed
Other
Marital status (%)
Married or living
as married
Single
616
(7.8%–17.0%), respectively. Among those who had had sex in
the last month with nonspousal partners, 39.2% (33.5–45.3%)
reported that they always used condoms.
Men
(n = 438)
Women
(n = 492)
Total
(n = 930)
25 (19–33)
28 (20–37)
26 (20–35)
33.8
7.5
9.6
36.8
12.3
36.6
6.5
13.0
35.4
8.5
35.3
7.0
11.4
36.0
10.3
84.5
83.3
83.9
37.4
29.9
27.6
5.0
25.0
22.2
50.2
2.6
30.9
25.8
39.6
3.8
30.8
69.2
41.9
58.1
36.7
63.3
The overall prevalence of HIV-1 infection was 21.8%
(19.2%–24.6%): 17.4% (14.1%–21.4%) among men and
25.7% (range: 21.9%–30.0%) among women. The highest
prevalence of HIV-1 by age was 34.4% (19.2%–53.2%)
among men aged 35 to 39 years and 46.4% (34.4%–58.7%)
among women aged 25 to 29 years. The median age of HIV1–infected people was 31 (IQR: 26–37) years for men and 23
(IQR: 19–32) years for women. Among those having a spousal
partnership and those having a nonspousal partnership, the
prevalence of HIV-1 was 25.6% (21.1%–30.7%) and 23.8%
(20.1%–27.9%), respectively. The prevalence of syphilis was
3.2% (1.9%–5.4%) for men and 9.6% (7.4%–12.8%) for
women. The prevalence of Chlamydia infection was 6.2%
(4.3%–8.9%) for men and 6.9% (5.0%–9.6%) for women.
Distribution of Plasma HIV-1 RNA Load
The median (IQR) plasma HIV-1 RNA load was 55,750
(10,750–172,000) copies/mL (4.7 [4.0–5.2] copies/mL −
log10), and the difference between men and women was not
significant (P = 0.59 by Kruskal-Wallis test). The median
(IQR) plasma HIV-1 RNA load in participants with CD4+
counts less than 200 cells/mm3 was 160,000 (72,900–410,000)
copies/mL (5.2 [4.9 – 5.6] copies/mL − log10), and in participants with CD4+ counts higher than 200 cells/mm3, it was significantly lower at 46,800 (9407–149,500) copies/mL (4.7
[4.0–5.2]) copies/mL − log10) (P = 0.000 by Kruskal-Wallis
test).
Distribution of CD4+ Counts
The median (IQR) CD4+ cell count in the HIV-1–
negative and –positive participants was 1128 (911–1371)
cells/mm3 and 475 (321–735) cells/mm3, respectively, and the
difference was statistically significant (P = 0.000 by KruskalWallis test). Among HIV-1–negative men, the median (IQR)
CD4+ cell count was 1057 (850–1316) cells/mm3, and among
women, it was slightly higher at 1180 (963–1436) cells/mm3
(P = 0.000 by Kruskal-Wallis test). Among HIV-1–positive
participants, the median CD4+ count was 488 (321–740)
cells/mm3 and not statistically different between men and
women (P = 0.17 by Kruskal-Wallis test). The distribution of
CD4+ cell counts in HIV-1–infected individuals is given in
Figure 1.
Characteristics of HIV-1–Infected Subjects
Eligible for Antiretroviral Therapy Under
WHO Guidelines
Taking a CD4+ cell count of 200 cells/mm3 as the critical
level for the initiation of HAART, 9.5% (6.1%–14.9%) of
© 2004 Lippincott Williams & Wilkins
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
FIGURE 1. Distribution of CD4+ cell count among HIV-1–
infected persons (with the upper limit of the 95% confidence
interval).
HIV-1–infected people, or 2.1% (1.3%–3.3%) of 15- to 49year-olds, should be provided with HAART. The median age
of these people was 33 (IQR: 26–36) years, with a male-tofemale ratio of 1:2.2. Of these persons, 36.8% (20.4%–73.9%)
were married and 47.4% (25.2%–70.5%) reported at least 1
nonspousal sexual partner in the last 12 months.
At the time of the study, 18.9% (13.8%–25.2%) of HIV1–infected people had CD4+ cell counts between 200 and 349
cells/mm3 such that 6.3% (4.6%–8.4%) of those currently infected with HIV-1, or 1.4% (0.97%–1.9%) of 15- to 49-yearolds, should start HAART in each of the next 2 years.
On average, plasma HIV-1 RNA load in copies/mL −
log10 falls by a factor of 1.43 (1.32–1.56) for each 100
cells/mm3 decline in CD4+ count, as shown in Figure 2. There
is substantial dispersion in the data, however, and a high proportion of individuals have a high plasma HIV-1 RNA load
even though their CD4+ cell count is above 200 cells/mm3.
HAART and the Spread of HIV
200 cells/mm3. Of the nonspousal partnerships in the last 12
months involving HIV-1–positive individuals, 5.7% (3.0%–
10.2%) had a CD4+ cell count below 200 cells/mm3. Of the
spousal and nonspousal partnerships in the last 12 months engaged in by HIV-1–positive individuals, a total of 6.3%
(3.8%–9.6%) had a CD4+ cell count below 200 cells/mm3
The plasma HIV-1 RNA load stratified by CD4+ cell
count is given in Table 2. Combining the survey data from the
present study with data on the annual risk of infection from a
study in Uganda,26 we are able to estimate the probability that
1 current infection will give rise to a secondary infection in 1
year (annual risk of HIV-1 transmission). By assuming that
those who receive HAART cease to be infectious, we also
show in Table 2 that the provision of HAART to all infected
subjects with a CD4+ cell count below 200 cells/mm3 will reduce the annual risk of HIV-1 transmission by 11.9% (7.1%–
17.0%).
Impact of Using USDHHS Guidelines
If HAART were given to individuals with a CD4+ cell
count below 350 cells/mm3 or a plasma HIV-1 RNA load
greater than 55,000 copies/mL, more people would need
HAART and the impact on the short-term spread of HIV-1
would be greater. If this were done, we estimate (data not
shown) that 56.3% (49.1%–63.2%) of people infected with
HIV-1 would have required HAART at the time of the study.
As a result, 50.0% (39.5%–60.5%) of spousal and 59.3%
(52.0%–66.2%) of nonspousal partnerships would potentially
benefit from the resulting reduction of transmission, and the
annual risk of HIV-1 transmission would be reduced by 71.8%
(64.5%–77.5%).
DISCUSSION
Impact of HAART on the Short-Term Spread of
HIV-1 Under WHO Guidelines
Among spousal partnerships involving HIV-1–positive
individuals, 7.6% (3.4%–15.6%) had a CD4+ cell count below
FIGURE 2. Plasma HIV-1 RNA load by CD4+ count among
HIV-1–positive individuals. The regression line is plasma HIV-1
RNA load (copies/mL ⳮ log10) = 5.40 ⳮ 1.57 10ⳮ3 CD4+
count (Spearman = ⳮ0.53, P = 0.000).
© 2004 Lippincott Williams & Wilkins
Number of People Who Need HAART
Marked improvements have been reported in the health
status and life expectancy of HIV-1–infected individuals and
coincide with the widespread use of antiretroviral drugs.2–10 It
is estimated that only 230,000 HIV-infected people in poor and
middle-income countries are currently being treated with ART
and that half of these people live in Brazil. In sub-Saharan Africa, where 70% of the HIV-1–infected people live, almost no
or limited triple-combination HIV-1 treatment is used.24 Several studies have investigated the feasibility and efficacy of
ART in resource-poor settings and confirm that antiretroviral
drugs can be successfully provided in developing countries.12,13 Treatment requirements have not been well characterized in sub-Saharan countries, however. The current community-based study was conducted in a South African township of the Gauteng province with a very high prevalence of
HIV-1. In this community, the prevalence of HIV and syphilis
among women that we found (9.6% and 25.7%, respectively)
was comparable to the prevalence (31.6% and 6.0%, respec-
617
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
Auvert et al
TABLE 2. Estimates of the Potential Impact of HAART on the Annual Risk of HIV-1 Transmission
Total (6)
Plasma HIV-1 RNA load
(copies/mL)
Annual risk of HIV-1
transmission
(person/y)
Percentage of HIV-1–positive
population (%)
Weighted annual risk of
HIV-1 transmission
without HAART (person/y)
Percentage of HIV-1–positive
population with
CD4+ counts >200
cells/mm3
Weighted annual risk of
HIV-1 transmission
with HAART (person/year)
<399
400–3499
3500–9999
10,000–49,999
>49,999
NA
0.04
0.12
0.14
0.23
NA
3.1
(1.1–6.5)
0
8.2
(4.7–12.9)
0.00327
(0.00188–0.00516)
12.2
(8.0–17.7)
0.0147
(0.00960–0.0212)
25.5
(19.6–32.2)
0.0357
(0.0274–0.0451)
51.1
(43.8–58.2)
0.118
(0.101–0.134)
0.171
(0.1591–0.183)
3.1
(1.1–6.5)
8.2
(4.7–12.9)
12.2
(8.0–17.7)
23.5
(17.5–30.0)
43.4
(36.3–50.6)
90.3
(85.3–94.1)
0.00327
(0.00188–0.00516)
0.0147
(0.00960–0.0212)
0.0329
(0.0245–0.0420)
0.0997
(0.0835–0.116)
0.151
(0.136–0.165)
0
0
100
The table gives estimates of the annual risk of HIV-1 transmission as a function of plasma HIV-1 RNA load,27 the proportion of the present population falling
into each plasma HIV-1 RNA load band, the weighted annual risk of HIV-1 transmission, the proportion of the population that will not receive HAART under
present guidelines, and the weighted annual risk of HIV-1 transmission with the provision of HAART. The decrease in the annual risk of HIV-1 transmission from
0.171/person/y without HAART to 0.151/person/y with HAART corresponds to a reduction of 11.9% (7.1%–17.0%).
NA, not applicable.
tively) reported for the same province in the antenatal survey
conducted in 2002 by the South African National Department
of Health.27 We estimate that 9.5% of all adults infected with
HIV-1, or 2.1% of those aged 15 to 49 years, would be eligible
for antiretroviral drugs under WHO guidelines that recommend initiating HAART at CD4 + counts less than 200
cells/mm3.
In addition, a further 6.3% of all adults infected with
HIV-1, or 1.4% of those aged 15 to 49 years, should start
HAART each year. Because HAART will reduce mortality,
the number of individuals who need HAART will increase. As
data on HAART coverage and survival of patients receiving
HAART in Africa become available, it will be possible to estimate more precisely the demand for HAART and the cost of
providing it.28,29 Although the empiric data provided by this
study represent an important first step, detailed public health
and economic studies of the feasibility of testing and treating
these individuals will allow for a precise estimate of the feasibility and cost of scaling up ART in settings with a high HIV
prevalence. Such studies will make it possible to refine recent
studies that have attempted to estimate the real cost of an effective response to the global AIDS epidemic.30,31
Estimates of the fraction of the population needing
HAART in sub-Saharan Africa depend on the natural history
of the epidemic and, in particular, on its magnitude and maturity. Because the epidemic in South Africa has developed recently but very rapidly,1,32 this study should be repeated in
618
other sub-Saharan African settings, especially in countries
where the prevalence is lower and the epidemic is more mature
and even declining. Nevertheless, it is unlikely that the proportion of HIV-positive people needing HAART will be dramatically different in other places in sub-Saharan Africa, where the
epidemic is driven primarily by heterosexual contact. HIV-1
has the same impact on the immune system, and the epidemic
has probably reached an endemic state even in more recently
affected countries.
When using USDHHS guidelines, we found that a high
proportion (more than 50%) of people infected with HIV-1
would have needed HAART at the time of the study. The drastic difference found when using WHO and USDHHS guidelines is due to the strong difference in our HIV-positive population between the fraction having CD4+ counts below 200
cells/mm3 (about 10%) and the fraction having a viral load
above 55,000 copies/mL (about 50%). This indicates that the
proportion of people needing HAART critically depends on
the choice of guidelines applied. A recent study conducted in
the Rakai population in Uganda found that 20% of infected
persons had viral loads greater than 55,000 copies/mL and thus
needed to receive HAART under USDHHS guidelines.33 The
reasons for such a difference when compared with our study
are unclear. It could be due to the difference in the sample
collection. Viral loads were determined from recently sampled
plasma in our study and from archived serum in the Rakai
study, and such variation in the collection and storage can at
© 2004 Lippincott Williams & Wilkins
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
least partly explain the difference between the 2 studies.34 The
difference could also be due to the population sample. We have
designed a specific cross-sectional approach for our study
compared with the cohort used in the Rakai study.
Potential Impact of HAART on the Spread
of HIV
The impact that HAART might have on the spread of
HIV by reducing the infectivity of treated subjects and preventing subsequent sexual transmission remains unclear.35 A
mathematic model suggested that the widespread use of antiretroviral drugs could curb the HIV epidemic in a gay community in San Francisco.36 A recently published stochastic simulation showed that in Uganda, using USDHHS guidelines,
HAART will have a limited impact on the spread of HIV.33
Here, we have used 2 indicators to evaluate the short-term impact of the widespread use of HAART on HIV-1 transmission
in a South African township where the prevalence of HIV-1 is
high. The first indicator revealed that only a small proportion
of spousal partnerships (7.6%) and nonspousal partnerships
(5.7%) formed by HIV-1–infected individuals will potentially
benefit from the likely reduction of transmission due to the
decrease in plasma HIV-1 RNA load induced by HAART. The
second indicator suggests that the annual risk of HIV-1 transmission would be reduced by 11.9%. The low numeric values
of the 2 indicators show that the impact of HAART on the
spread of HIV, by reducing the infectivity of treated subjects
and preventing subsequent sexual transmission, will be small
under WHO guidelines.
The first indicator takes into account the sexual activity
of HIV-1–positive people in estimating the impact of HAART
on the spread of HIV-1. Nevertheless, this indicator does not
take into account that in a proportion of the partnerships of
HIV-1–positive individuals, both partners could be HIV-1–
positive. Therefore, this indicator is likely to be an overestimation of the proportion of sexual relationships that would benefit
from the reduction of transmission due to the decrease in
plasma HIV-1 RNA load by HAART. The second indicator
was based on a study conducted in Uganda because of the lack
of South African data on the relationship between HIV-1 viral
load and sexual transmission of HIV-1. Therefore we cannot
exclude that the result could have been slightly different if such
data were available.
Because the average plasma HIV-1 RNA load only increases slowly as CD4+ count falls, the infectiousness of individuals who are eligible for HAART is close to the infectiousness of those who are not. As a result, we can estimate the
impact of HAART on the spread of HIV-1, as a first approximation, by the proportion of HIV-1–positive people who
would receive HAART. This is confirmed by this study, where
9.5% of HIV-1–infected people need HAART and the reduction in transmission was estimated to be 11.9%.
© 2004 Lippincott Williams & Wilkins
HAART and the Spread of HIV
Many people are not eligible for HAART because their
CD4+ counts are above 200 cells/mm3 even though they have a
high plasma HIV-1 RNA load, and they will continue to contribute substantially to the spread of HIV after the introduction
of HAART. In addition, individuals who are in the early
asymptomatic period and have a negative HIV test, that is,
those who are newly infected or primary HIV-1–infected individuals are not taken into account in the current study, and it is
believed that they contribute substantially to the spread of HIV
because of their high plasma HIV-1 RNA load.37 This group is
likely to be small, however, because the window period of the
ELISA HIV test used here is short.
Our estimation of the impact of HAART on the spread of
HIV has been calculated assuming full coverage and that
HAART reduces plasma HIV-1 RNA load to <400 copies/mL.
Because we used a relationship between plasma HIV-1 RNA
load and HIV transmission25 in which no transmission occurs
with such a low value of viral load, our hypothesis is equivalent to assuming that HAART completely suppresses infectiousness. It thus seems likely that the estimation given in this
study is an overestimation for at least 3 reasons. First, it is
unlikely for cultural and practical reasons that all eligible
people infected with HIV will receive HAART. Second, studies conducted in Africa have highlighted the problems of nonadherence and drug resistance among treated patients.38–44
Third, it is unlikely that HIV-infected individuals receiving
HAART will be completely noninfectious. Indeed, in HIV-1–
infected men who are successfully receiving HAART, the virus may still be present in seminal cells and transmitted sexually,45 and it has been shown that treating HIV-1–infected men
with zidovudine reduces but does not eliminate heterosexual
transmission of HIV.17 Finally, despite effective ART, high
seminal plasma HIV-1 RNA loads occur during gonococcal
urethritis46 and patients may still be infected as evidenced by
continued shedding of cells harboring the HIV provirus.47
When using USDHHS guidelines, we found that the annual risk of HIV-1 transmission would be substantially reduced by more than two thirds. The drastic difference found
when using WHO and USDHHS guidelines is due to the
marked difference in the populations eligible for HAART under the 2 sets of guidelines. This indicates that the choice of
guidelines to be used in a developing country is of critical importance on the potential impact of ART on the heterosexual
spread of HIV. The aim of these guidelines is to recommend
the point during the course of HIV infection at which ART
should be initiated, but this point remains uncertain.48 A consequence of our study is that the design of guidelines for developing countries has serious public health implications that
should be taken into consideration. The relatively small impact
of HAART when using USDHHS guidelines that was found in
Uganda is in contrast with what was found in our study. The
difference is likely the result of the lower proportion of HIVpositive persons eligible for HAART in the Rakai population
619
Auvert et al
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
(about 20%) in comparison to the proportion in the South African population of this study (about 50%).
Consequences for Prevention
Under WHO guidelines, the limited effect of even the
widespread use of HAART on the spread of HIV in subSaharan Africa found in this study suggests that HAART will
not substantially reduce the heterosexual spread of HIV. Scaling up HAART should not lead to any relaxation in prevention
efforts to reduce the spread of HIV. In particular, we advocate,
as others have,49 that the budget allocated for prevention
should not be in competition with the budget allocated to treatment and should not be reduced. In this context, the prevention
of HIV infection should be based on established cost-effective
prevention strategies such as condom distribution, blood and
injection safety measures, treatment of STIs, and changes of
sexual behavior.50
In the population under study here, the prevalence of
both syphilis and Chlamydia is high, sexual risk behavior is
common, and condom use is not optimal in nonspousal partnerships, although it is higher than in some other cities of subSaharan Africa.51–53 This situation, characterized by low condom use, high rates of curable STIs, and sexual risk behavior,
is common in sub-Saharan Africa, and prevention efforts to
reduce the spread of HIV need to be substantially strengthened.
The development of HAART represents a major advance in the fight against HIV/AIDS, and even though
HAART has to be administered by trained health workers in
health centers satisfying the minimum requirements for the delivery of such drugs,11 there is no doubt that HAART, which is
already available in some countries in sub-Saharan Africa such
as Senegal,42 will soon become available in other countries.
The consequences of the availability of HAART on prevention
are difficult to predict. HAART could facilitate HIV prevention. The targeted availability of an effective therapy could
lead to an increase in demand for HIV testing and counseling,
which has been shown to be effective in reducing risky sexual
behaviors in heterosexual couples,35,54 and to a lessening of
the stigma associated with AIDS.13 HAART could also have a
negative impact on prevention, however, because recent studies in San Francisco and Amsterdam have provided evidence
of an increase in unprotected sex among men who have sex
with men, possibly due to the availability of HAART.11,55,56
Detailed studies conducted in sub-Saharan Africa on the impact on prevention of the widespread use of HAART will be
needed to judge adequately the complementary approaches of
prevention and treatment of the HIV/AIDS epidemic in subSaharan communities highly infected by HIV.
ACKNOWLEDGMENT
The authors thank all the participants who agreed to take
part in the survey, to answer the questions we put to them, and
620
to provide blood samples. Special thanks go to Reathe Taljaard
and Gaph Pathedi, who helped to make the survey possible.
Ewalde Cutler, Precious Magooa, Melody Nzama, Moses
Mashiloane, and Japh Sibeko from the National Institute for
Communicable Diseases, Johannesburg, South Africa, provided excellent technical assistance in regard to the laboratory
testing. The authors thank Emmanuel Lagarde, INSERM U88,
France, for his invaluable assistance and support.
REFERENCES
1. UNAIDS. AIDS Epidemic Update. WHO, Geneva, Switzerland, 2001.
2. Wood E, Low-Beer S, Bartholomew K, et al. Modern antiretroviral
therapy improves life expectancy of gay and bisexual males in Vancouver’s West End. Can J Public Health. 2000;91:125–128.
3. Vittinghoff E, Scheer S, O’Malley P, et al. Combination antiretroviral
therapy and recent declines in AIDS incidence and mortality. J Infect Dis.
1999;179:717–720.
4. Moore RD, Chaisson RE. Natural history of HIV infection in the era of
combination antiretroviral therapy. AIDS. 1999;13:1933–1942.
5. Mocroft A, Vella S, Benfield TL, et al. Changing patterns of mortality
across Europe in patients infected with HIV-1. EuroSIDA Study Group.
Lancet. 1998;352:1725–1730.
6. Palella FJ, Jr, Delaney KM, Moorman AC, et al. Declining morbidity and
mortality among patients with advanced human immunodeficiency virus
infection. HIV Outpatient Study Investigators. N Engl J Med. 1998;338:
853–860.
7. Dore GJ, Li Y, McDonald A, et al. Impact of highly active antiretroviral
therapy on individual AIDS-defining illness incidence and survival in
Australia. J Acquir Immune Defic Syndr. 2002;29:388–395.
8. Egger M, Hirschel B, Francioli P, et al. Impact of new antiretroviral combination therapies in HIV infected patients in Switzerland: prospective
multicentre study. Swiss HIV Cohort Study. BMJ. 1997;315:1194–1199.
9. Hogg RS, Yip B, Kully C, et al. Improved survival among HIV-infected
patients after initiation of triple-drug antiretroviral regimens. CMAJ.
1999;160:659–665.
10. Gange SJ, Barron Y, Greenblatt RM, et al. Effectiveness of highly active
antiretroviral therapy among HIV-1 infected women. J Epidemiol Community Health. 2002;56:153–159.
11. World Health Organization. Scaling Up Antiretroviral Therapy in Resource Limited Settings: Guidelines for a Public Health Approach. WHO,
2002, Geneva, Switzerland.
12. Laurent C, Diakhate N, Gueye NF, et al. The Senegalese government’s
highly active antiretroviral therapy initiative: an 18-month follow-up
study. AIDS. 2002;16:1363–1370.
13. Farmer P, Leandre F, Mukherjee JS, et al. Community-based approaches
to HIV treatment in resource-poor settings. Lancet. 2001;358:404–409.
14. US Department of Health and Human Services. Guidelines for the Use of
ARV Agents in HIV-Infected Adults and Adolescents. Washington, DC.
US Department of Health and Human Services; 2002.
15. Pereira AS, Kashuba AD, Fiscus SA, et al. Nucleoside analogues achieve
high concentrations in seminal plasma: relationship between drug concentration and virus burden. J Infect Dis. 1999;180:2039–2043.
16. Hart CE, Lennox JL, Pratt-Palmore M, et al. Correlation of human immunodeficiency virus type 1 RNA levels in blood and the female genital tract.
J Infect Dis. 1999;179:871–882.
17. Musicco M, Lazzarin A, Nicolosi A, et al. Antiretroviral treatment of men
infected with human immunodeficiency virus type 1 reduces the incidence of heterosexual transmission. Italian Study Group on HIV Heterosexual Transmission. Arch Intern Med. 1994;154:1971–1976.
18. UNAIDS. Looking deeper into the HIV epidemic: a questionnaire for
tracing sexual networks. In: Best Practice Collection, Key Material 98/27.
Geneva: UNAIDS; 1998:1–24.
19. Triques K, Coste J, Perret JL, et al. Efficiencies of four versions of the
AMPLICOR HIV-1 MONITOR test for quantification of different subtypes of human immunodeficiency virus type 1. J Clin Microbiol. 1999;
37:110–116.
© 2004 Lippincott Williams & Wilkins
J Acquir Immune Defic Syndr • Volume 36, Number 1, May 1 2004
20. Newcombe RG. Two-sided confidence intervals for the single proportion:
comparison of seven methods. Stat Med. 1998;17:857–872.
21. World Health Organization. Basic Science in HIV/AIDS: An Update.
Geneva: WHO; 1999:64.
22. Kaleebu P, Ross A, Morgan D, et al. Relationship between HIV-1 Env
subtypes A and D and disease progression in a rural Ugandan cohort.
AIDS. 2001;15:293–299.
23. Fauci AS, Pantaleo G, Stanley S, et al. Immunopathogenic mechanisms of
HIV infection. Ann Intern Med. 1996;124:654–663.
24. Anastos K, Gange SJ, Lau B, et al. Association of race and gender with
HIV-1 RNA levels and immunologic progression. J Acquir Immune Defic
Syndr. 2000;24:218–226.
25. Quinn TC, Wawer MJ, Sewankambo N, et al. Viral load and heterosexual
transmission of human immunodeficiency virus type 1. Rakai Project
Study Group. N Engl J Med. 2000;342:921–929.
26. Gray RH, Wawer MJ, Brookmeyer R, et al. Probability of HIV-1 transmission per coital act in monogamous, heterosexual, HIV-1-discordant
couples in Rakai, Uganda. Lancet. 2001;357:1149–1153.
27. Department of Health. National HIV and syphilis antenatal seroprevalence survey in South Africa. Department of Health, Pretoria, South
Africa, 2002.
28. Weidle PJ, Malamba S, Mwebaze R, et al. Assessment of a pilot antiretroviral drug therapy programme in Uganda: patients’ response, survival,
and drug resistance. Lancet. 2002;360:34–40.
29. Frater AJ, Dunn DT, Beardall AJ, et al. Comparative response of African
HIV-1-infected individuals to highly active antiretroviral therapy. AIDS.
2002;16:1139–1146.
30. Attaran A, Sachs J. Defining and refining international donor support for
combating the AIDS pandemic. Lancet. 2001;357:57–61.
31. Schwartlander B, Stover J, Walker N, et al. AIDS. Resource needs for
HIV/AIDS. Science. 2001;292:2434–2436.
32. Williams BG, Gouws E. The epidemiology of human immunodeficiency
virus in South Africa. Philos Trans R Soc Lond B Biol Sci. 2001;356:
1077–1086.
33. Gray RH, Li X, Wawer MJ, et al. Stochastic simulation of the impact of
antiretroviral therapy and HIV vaccines on HIV transmission; Rakai,
Uganda. AIDS. 2003;17:1941–1951.
34. Ginocchio CC, Wang XP, Kaplan MH, et al. Effects of specimen collection, processing, and storage conditions on stability of human immunodeficiency virus type 1 RNA levels in plasma. J Clin Microbiol. 1997;35:
2886–2893.
35. Wood E, Braitstein P, Montaner JS, et al. Extent to which low-level use of
antiretroviral treatment could curb the AIDS epidemic in sub-Saharan Africa. Lancet. 2000;355:2095–2100.
36. Velasco-Hernandez JX, Gershengorn HB, Blower SM. Could widespread
use of combination antiretroviral therapy eradicate HIV epidemics? Lancet Infect Dis. 2002;2:487–493.
37. Leynaert B, Downs AM, de Vincenzi I. Heterosexual transmission of human immunodeficiency virus: variability of infectivity throughout the
course of infection. European Study Group on Heterosexual Transmission
of HIV. Am J Epidemiol. 1998;148:88–96.
38. Weidle PJ, Malamba S, Mwebaze R, et al. Assessment of a pilot antiretroviral drug therapy programme in Uganda: patients’ response, survival,
and drug resistance. Lancet. 2002;360:34–40.
© 2004 Lippincott Williams & Wilkins
HAART and the Spread of HIV
39. Vergne L, Malonga-Mouellet G, Mistoul I, et al. Resistance to antiretroviral treatment in Gabon: need for implementation of guidelines on antiretroviral therapy use and HIV-1 drug resistance monitoring in developing countries. J Acquir Immune Defic Syndr. 2002;29:165–168.
40. Adje C, Cheingsong R, Roels TH, et al. High prevalence of genotypic and
phenotypic HIV-1 drug-resistant strains among patients receiving antiretroviral therapy in Abidjan, Cote d’Ivoire. J Acquir Immune Defic Syndr.
2001;26(5):501–506.
41. Nyazema NZ, Khoza S, Landman I, et al. Antiretrovial (ARV) drug utilisation in Harare. Cent Afr J Med. 2000;46:89–93.
42. Laurent C, Diakhate N, Gueye NF, et al. The Senegalese government’s
highly active antiretroviral therapy initiative: an 18-month follow-up
study. AIDS. 2002;16:1363–1370.
43. Frater AJ, Dunn DT, Beardall AJ, et al. Comparative response of African
HIV-1-infected individuals to highly active antiretroviral therapy. AIDS.
2002;16:1139–1146.
44. Harries AD, Nyangulu DS, Hargreaves NJ, et al. Preventing antiretroviral
anarchy in sub-Saharan Africa. Lancet. 2001;358:410–414.
45. Zhang H, Dornadula G, Beumont M, et al. Human immunodeficiency
virus type 1 in the semen of men receiving highly active antiretroviral
therapy. N Engl J Med. 1998;329:1803–1809.
46. Sadiq ST, Taylor S, Kaye S, et al. The effects of antiretroviral therapy on
HIV-1 RNA loads in seminal plasma in HIV-positive patients with and
without urethritis. AIDS. 2002;16:219–225.
47. Vernazza PL, Troiani L, Flepp MJ, et al. Potent antiretroviral treatment of
HIV-infection results in suppression of the seminal shedding of HIV. The
Swiss HIV Cohort Study. AIDS. 2000;14:117–121.
48. Phillips AN, Lepri AC, Lampe F, et al. When should antiretroviral therapy
be started for HIV infection? Interpreting the evidence from observational
studies. AIDS. 2003;17:1863–1869.
49. Marseille E, Hofmann PB, Kahn JG. HIV prevention before HAART in
sub-Saharan Africa. Lancet. 2002;359:1851–1856.
50. Creese A, Floyd K, Alban A, et al. Cost-effectiveness of HIV/AIDS interventions in Africa: a systematic review of the evidence. Lancet. 2002;
359:1635–1643.
51. Carael M, Cleland J, Deheneffe JC, et al. Sexual behaviour in developing
countries: implications for HIV control. AIDS. 1995;9:1171–1175.
52. Auvert B, Buve A, Ferry B, et al. Ecological and individual level analysis
of risk factors for HIV infection in four urban populations in sub-Saharan
Africa with different levels of HIV infection. AIDS. 2001;15(Suppl 4):
S15–S30.
53. Lagarde E, Auvert B, Chege J, et al. Condom use and its association with
HIV/sexually transmitted diseases in four urban communities of subSaharan Africa. AIDS. 2001;15(Suppl 4):S71–S78.
54. Roth DL, Stewart KE, Clay OJ, et al. Sexual practices of HIV discordant
and concordant couples in Rwanda: effects of a testing and counselling
programme for men. Int J STD AIDS. 2001;12:181–188.
55. Dukers NH, Goudsmit J, de Wit JB, et al. Sexual risk behaviour relates to
the virological and immunological improvements during highly active antiretroviral therapy in HIV-1 infection. AIDS. 2001;15:369–378.
56. Katz MH, Schwarcz SK, Kellogg TA, et al. Impact of highly active antiretroviral treatment on HIV seroincidence among men who have sex with
men: San Francisco. Am J Public Health. 2002;92:388–394.
621