Articles tagged as "Epidemiology"

Vaccines

The potential impact of a moderately effective HIV vaccine with rapidly waning protection in South Africa and Thailand

Andersson KM, Stover J. Vaccine. 2011 Jun 22. [Epub ahead of print]

Although published data from the recent ALVAC/AIDSVAX trial in Thailand (RV144) indicated that the HIV vaccine provided very modest protection overall (31.2%), new analysis of trial data has suggested higher efficacy levels earlier in the follow-up period. CDC and UNAIDS organised several modelling research teams to explore the implications of the trial results and potential utility of this vaccine. Andersson and Stover explored the impact of a vaccine with moderate but rapidly waning protection (78%, 1.43 years) using an exponential decay function fit to trial data. They varied programme coverage levels (20-80%), vaccine efficacy (30-90%), timing (single or multi-year programmes), prioritisation (general or populations at higher risk), and background levels of all other prevention programmes (constant or scaled-up). They simulated these various vaccination scenarios in two representative countries using demographic projections generated with Spectrum modelling software. They assumed the vaccine becomes available in 2020 and target coverage is achieved by 2025. A general vaccination strategy in South Africa covering 60% of the population, for example, would prevent 3.0 million infections between 2020 and 203036% of expected infections—and would be very effective, requiring only 39 vaccinations/infection averted. The same strategy in Thailand would prevent 81,000 infections—35% of expected infections—but would require 1725 vaccinations/infection averted. Prioritising only populations at higher risk of exposure in Thailand would reduce total vaccinations given by more than ten-fold and would still prevent 52,000 infections—23% of expected infections—while requiring only 220 vaccinations/infection averted. Outcomes were sensitive to programme coverage, vaccine efficacy, and background levels of all other prevention programmes. A vaccine with rapidly waning protection could have a substantial impact on the epidemic in South Africa and Thailand. Due to the short duration of effect, large numbers of vaccinations would be needed to maintain high population coverage levels. Further research into the immunological effects of booster vaccinations is warranted.

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Editor’s note: In October 2009, the RV144 prime-boost vaccine trial in a large community-based trial in Thailand reported modest protection at 42 months—a 31% reduction with a wide confidence interval of 1%-51%. Some people doubted these findings but at AIDS Vaccine 2011 conference held this month in Thailand, the results of joint efforts across the vaccine field showing immunological correlates of protection were reported to scientific acclaim. This means that we understand better now why the vaccine protected some people. These results brought the work of the CDC/UNAIDS vaccine modelling consensus group, launched in a dedicated issue of VACCINE at the conference, into sharp focus. [You can download the entire issue at http://www.sciencedirect.com/science/journal/0264410X/29/36]. We invited modelling groups to assess the impact of an RV144-like partially protective vaccine, basing their models on data showing that vaccine efficacy had been 60% at 12 months, waning thereafter, and estimating the effects over a 10-year period of a single mass vaccination of 30% and 60% of sexually active adults. For settings such as Thailand, the USA, South Africa, and Australia, they found that RV144-like vaccines would have modest impact, averting 5-15% of infections over 10-year periods, especially in countries with high incidence. Vaccination with the complete prime-boost regimen would be cost-effective at 150 US$ per person in South Africa and at 500 US$ in the USA. The Andersson-Stover modelling team found that the number of vaccinations required to avert one HIV infection with a programme starting in 2020 varied by setting and could be improved with prioritisation of sub-populations at higher risk of HIV exposure. Plans are underway now to study the effects of a booster dose on immune responses, to conduct a trial in Thailand among men who have sex with men, and to conduct a trial in South Africa using clade C inserts rather than the B/E inserts that were used in RV144 regimen to match circulating Thai HIV subtypes. We are on our way!

Epidemiology
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Epidemiology

Concurrency revisited: increasing and compelling epidemiological evidence

Mah TL, Shelton JD. J Int AIDS Soc. 2011 Jun 20;14:33.

Multiple sexual partnerships must necessarily lie at the root of a sexually transmitted epidemic. However, that overlapping or concurrent partnerships have played a pivotal role in the generalised epidemics of sub-Saharan Africa has been challenged. Much of the original proposition that concurrent partnerships play such a role focused on modelling, self-reported sexual behaviour data, and ethnographic data. While each of these has definite merit, each also has had methodological limitations. Actually, more recent cross-national sexual behaviour data and improved modelling have strengthened these lines of evidence. However, heretofore the epidemiologic evidence has not been systematically brought to bear. Though assessing the epidemiologic evidence regarding concurrency has its challenges, a careful examination, especially of those studies that have assessed HIV incidence, clearly indicates a key role for concurrency. Such evidence includes: 1) the early and dramatic rise of HIV infection in generalised epidemics that can only arise from transmission through rapid sequential acute infections and thereby concurrency; 2) clear evidence from incidence studies that a major portion of transmission in the population occurs via concurrency both for concordant negative and discordant couples; 3) elevation in risk associated with partner's multiple partnering; 4) declines in HIV associated with declines in concurrency; 5) bursts and clustering of incident infections that indicate concurrency and acute infection play a key role in the propagation of epidemics; and 6) a lack of other plausible explanations, including serial monogamy and non-sexual transmission. While other factors, such as sexually transmitted infections, other infectious diseases, biological factors and HIV sub-type, likely play a role in enhancing transmission, it appears most plausible that these would amplify the role of concurrency rather than alter it. Additionally, critics of concurrency have not proposed plausible alternative explanations for why the explosive generalised epidemics occurred. Specific behaviour change messaging bringing the concepts of multiple partnering and concurrency together appears salient and valid in promoting safer individual behaviour and positive social norms.

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Editor’s note: It is unclear why there have been and continue to be arguments overall the role of sexual partnership concurrency. Effective HIV prevention messages from the beginning of the response have highlighted ideas such as ‘when you sleep with a person you are sleeping with every person they have ever had sex with’. Modelling has suggested that primary infection amplifies the importance of concurrent sexual partnerships substantially, but concurrency and primary infection do not completely explain diverse epidemics in sub-Saharan Africa (see Eaton, HIV This Week Issue 87). Although primary infection can be important in fuelling ongoing transmission (see Powers, HIV This Week, Issue 93), the level of transmission seen in the HPTN 052 study when CD4 counts were 350-550 cells/ul suggests that the bulk of transmission is not acute infection related. Furthermore, transmission related to acute infection does not explain the doubling times seen in the southern Africa epidemics. Emphasising the role of sexual networking in spreading HIV infection can help people understand how their own risk is influenced by others beyond their immediate sexual partner but helping people to learn their HIV status and tailor their prevention response may have a bigger impact on decelerating HIV incidence than a focus on the role of concurrency alone

Epidemiology
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Tuberculosis

Spread of extensively drug-resistant tuberculosis in KwaZulu-Natal province, South Africa

Moodley P, Shah NS, Tayob N, Connolly C, Zetola N, Gandhi N, Friedland G, Sturm AW. PLoS One. 2011;6(5):e17513. Epub 2011 May 31

In 2005 a cluster of 53 HIV-infected patients with extensively drug-resistant tuberculosis (XDR-TB) was detected in the Msinga sub-district, the catchment area for the Church of Scotland Hospital (CoSH) in Tugela Ferry, in KwaZulu-Natal province, South Africa. KwaZulu-Natal is divided into 11 healthcare districts. Moodley and colleagues sought to determine the distribution of XDR TB cases in the province in relation to population density. In this cross-sectional study, the KwaZulu-Natal tuberculosis laboratory database was analysed. Results of all patients with a sputum culture positive for Mycobacterium tuberculosis from January 2006 to June 2007 were included. Drug-susceptibility test results for isoniazid, rifampicin, ethambutol, streptomycin, kanamycin, and ofloxacin were available for all patients as well as the location of the hospital where their clinical diagnosis was made. In total, 20,858 patients attending one of 73 hospitals or their adjacent clinics had cultures positive for M. tuberculosis. Of these, 4170 (20%) were MDR-TB cases. Four hundred and forty three (11%) of the MDR tuberculosis cases displayed the XDR tuberculosis susceptibility profile. Only 1429 (34%) of the MDR-TB patients were seen at the provincial referral hospital for treatment. The proportion of XDR-TB amongst culture-confirmed cases was highest in the Msinga sub-district (19.6%), followed by the remaining part of the Umzinyati district (5.9%) and the other 10 districts (1.1%). The number of hospitals with at least one XDR-TB case increased from 18 (25%) to 58 (80%) during the study period. XDR-TB is present throughout KwaZulu-Natal. More than 65% of all diagnosed MDR-TB cases, including XDR-TB patients, were left untreated and likely remained in the community as a source of infection.

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Editor’s note: Multi-drug resistant (MDR) tuberculosis is a threat to the success of tuberculosis control programmes and its extensively resistant form (XDR) has no effective treatment. At the start of this study, XDR-TB patients were detected in 16 hospitals in 5 districts of KwaZulu Natal and 18 months later fully 58 hospitals had cases involving all 11 districts of the province. Over 80% of reported cases of TB were not culture-confirmed which means that no drug sensitivity tests were performed, leaving a potential pool of drug-resistant transmitters in hospitals and in the community. The South African government is moving rapidly to introduce the Gene Xpert MTB/RIF, an automated diagnostic test that can identify Mycobacterium tuberculosis and resistance to rifampicin. Rapid implementation of the new South African antiretroviral therapy eligibility guidelines of CD4 under 350 cells/uL will help decrease the numbers of susceptible people living with HIV but infection control strategies in hospitals and in the community are needed as well to prevent transmission of MDR/XDR tuberculosis. Tuberculosis, formerly known as the ‘captain of death’ must be fought on all fronts.

Comorbidity, Epidemiology
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Epidemiology

The role of acute and early HIV infection in the spread of HIV and implications for transmission prevention strategies in Lilongwe, Malawi: a modelling study

Powers KA, Ghani AC, Miller WC, Hoffman IF, Pettifor AE, Kamanga G, Martinson FE, Cohen MS. Lancet. Vol. 378 No. 9787 pp 256-268.

HIV transmission risk is higher during acute and early HIV infection than it is during chronic infection, but the contribution of early infection to the spread of HIV is controversial. Powers and colleagues estimated the contribution of early infection to HIV incidence in Lilongwe, Malawi, and predict the future effect of hypothetical prevention interventions targeted at early infection only, chronic infection only, or both stages. The authors developed a deterministic mathematical model describing heterosexual HIV transmission, informed by detailed behavioural and viral-load data collected in Lilongwe. They included sexual contact within and outside of steady pairs and divided the infectious period into intervals to allow for changes in transmissibility by infection stage. The authors used a Bayesian melding approach to fit the model to HIV prevalence data collected between 1987 and 2005 at Lilongwe antenatal clinics. They assessed interventions that reduced the per-contact transmission probability to 0·00003 in people receiving them, and varied the proportion of individuals receiving the intervention in each stage. Powers and colleagues estimated that 38·4% (95% credible interval 18·6-52·3) of HIV transmissions in Lilongwe are attributable to sexual contact with individuals with early infection. Interventions targeted at only early infection substantially reduced HIV prevalence, but did not lead to elimination, even with 100% coverage. Interventions targeted at only chronic infections also reduced HIV prevalence, but coverage levels of 95-99% were needed for the elimination of HIV. In scenarios with less than 95% coverage of interventions targeted at chronic infections, additional interventions reaching 25-75% of individuals with early infection reduced HIV prevalence substantially. The authors results suggest that early infection plays an important part in HIV transmission in this sub-Saharan African setting. Without near-complete coverage, interventions during chronic infection will probably have incomplete effectiveness unless complemented by strategies targeting individuals with early HIV infection.

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Editor’s note: Acute infection is the period between the time that people acquire HIV and the time that antibodies can be detected—people are highly infectious then and rarely know that they have HIV infection. Not only are viral loads extremely high due to the speed of viral replication but the virus itself is more infectious as it diverges from the founder virus or viruses that caused infection in the first place. The exact contribution of acute infection to ongoing HIV transmission is unknown but many have believed that it plays a lesser role in mature epidemics. This elegant mathematical modelling work using data (sexual behaviour, viral load, HIV prevalence) from Lilongwe, Malawi found that 38% of HIV transmission there (95%CI:19-52) was the result of sexual contact with people in early HIV infection, a period lasting about 5 months. Although the levels of long-term partner concurrency, sporadic concurrency, or rapid succession sequential monogamy are reportedly low (14% overall) in Lilongwe, short gaps (e.g. 11 days) between partners are likely an important contributor to HIV transmission dynamics. Testing the potential impact of various HIV prevention strategies, the model revealed that antiretroviral ‘treatment for prevention’ focused on people with chronic HIV infection would not eliminate HIV transmission. Combination prevention (behavioural, biomedical, and structural), which includes strategies to reduce vulnerability and to empower people to learn their HIV status and take steps to prevent acquiring or transmitting HIV infection, must also include innovative approaches to reducing the impact of acute infection if we are to get on top of the epidemic.

Epidemiology
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Positive Health, Dignity and Prevention

Trends in unsafe sex and influence of viral load among patients followed since primary HIV infection, 2000-2009

Seng R, Rolland M, Beck-Wirth G, Souala F, Deveau C, Delfraissy JF, Goujard C, Meyer L. AIDS. 2011; 25(7):977-88.

In the current context of increasing unsafe sex, HIV incidence may have evolved, depending on HIV prevalence in sexual networks and, among HIV-infected persons who practice unsafe sex, on their infectivity and partners' HIV serostatus. Seng and colleagues examined calendar trends in sexual behaviours at risk of HIV-1 transmission among 967 adults followed since primary HIV infection (ANRS PRIMO cohort) and relationship with current treatments and viral load. Patients completed since 2000 self-administered questionnaires on sexual practices every 6 months. Sexual behaviours at risk with HIV-negative/unknown partners were analyzed among 155 heterosexual women, 142 heterosexual men and 670 men who have sex with men by using logistic generalized estimating equation models (6656 visits). During 2000-2009, the frequency of sexual behaviours at risk did not increase significantly among women with steady partners; risk factors were a low education level and alcohol/smoking use. Among heterosexual men with steady partners, the frequency of sexual behaviours at risk of HIV-1 transmission doubled since 2006; during this period, the only associated factor was combined antiretroviral treatment for at least 6 months or viral load less than 400 copies/ml. Among men who have sex with men, sexual behaviours at risk of HIV-1 transmission increased gradually over time; sexual behaviours at risk of HIV-1 transmission with steady partners was associated with a low education level and alcohol use. Sexual behaviours at risk of HIV-1 transmission were more frequent among men who have sex with men with casual partners; no association with viral load was found. In France, recent trends and risk factors in unprotected sex with HIV-negative/unknown partners differ according to sex/sexual preference. The recent increase in sexual behaviours at risk of HIV-1 transmission among heterosexual men with low viral load may be related to increasing awareness of the 'treatment-as-prevention' concept. The lack of association between sexual behaviours at risk of HIV-1 transmission and viral load among men who have sex with men supports use of treatment-as-prevention as part of diversified prevention strategies.

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Editor’s note: This acute infection cohort study describes trends in sexual risk behaviour among 967 people recruited between 1996 to 2009 in 85 French hospitals close to the time of their infection. Six-monthly self-completed questionnaire data from 2000 on were analysed because before 2000, the questionnaire was physician-administered—the change led to sharp increase in reported unprotected sex. Sexual behaviour risk was defined as non-systematic condom use with a partner of negative or unknown status. No trend was seen over time for women while for men who have sex with men, sexual risk behaviour with both steady and casual partners increased gradually over the 2000-2009 period. For both women and men who have sex with men, sexual risk behaviour was associated with low education and with alcohol use. More sexual risk was reported by men who have sex with men at visits where they reported casual partners compared to steady partners. Heterosexual men with a steady partner really stood out in this cohort—from 2007 to 2009 they doubled their risky sexual behaviour, as defined by this study. This was more the case if they were on antiretroviral therapy and had a viral load under 400 copies. In fact, no association was seen between risky sex and awareness of viral load for either women or men who have sex with men. Qualitative studies to assess perceptions of risk could help explain these differences. National-level information on the prevention benefits of treatment for people living with HIV is needed in France, but also around the world, so that people living with HIV can tailor their own approach to avoid further infections and help ensure that HIV stops with them.

Epidemiology
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Epidemiology

A surprising prevention success: why did the HIV epidemic decline in Zimbabwe?

Halperin DT, Mugurungi O, Hallett TB, Muchini B, Campbell B, Magure T, Benedikt C, Gregson S. PLoS Med. 2011 Feb 8;8(2):e1000414.

There is growing recognition that primary prevention, including behaviour change, must be central in the fight against AIDS. The earlier successes in Thailand and Uganda may not be fully relevant to the severely affected countries of southern Africa. Halperin and authors conducted an extensive multi-disciplinary synthesis of the available data on the causes of the remarkable HIV decline that has occurred in Zimbabwe (29% estimated adult prevalence in 1997 to 16% in 2007), in the context of severe social, political, and economic disruption. The behavioural changes associated with HIV reduction—mainly reductions in extramarital, commercial, and casual sexual relations, and associated reductions in partner concurrency—appear to have been stimulated primarily by increased awareness of AIDS deaths and secondarily by the country's economic deterioration. These changes were probably aided by prevention programmes utilizing both mass media and church-based, workplace-based, and other inter-personal communication activities. Focusing on partner reduction, in addition to promoting condom use for casual sex and other evidence-based approaches, is crucial for developing more effective prevention programmes, especially in regions with generalized HIV epidemics.

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Editors’ note: These authors take up the challenge of trying to explain the findings published last year on the prevalence and incidence declines in Zimbabwe by Gregson et al (covered in Issue 83 of HIV This Week http://hivthisweek.unaids.org/post/epidemiology-2). They synthesise data from a number of sources and their hypotheses do seem explanatory. HIV incidence peaked in Zimbabwe in 1991 while HIV prevalence peaked in 1997. HIV incidence declined initially after 1991, as a result of saturation of sub-populations of people at higher risk of HIV exposure, and then the pace of the decline accelerated after 1999. Reported condom use increased steadily during the 1990s reaching a level of 59% in non-marital sexual encounters by 1994 and the consistency of condom use improved among women in casual partnerships. AIDS deaths increased dramatically during the mid- to-late 1990s and the government policy of home-based care brought AIDS mortality into the lived experiences of Zimbabweans across the country. Focus groups and interviews repeatedly underscore the role that mortality played in reducing casual sex and other multiple sexual partnerships. The severe economic declines of the last 1990s and early 2000s amplified the trend to partner reduction as Zimbabwe’s gross domestic product (GDP) fell 40%, average real earnings declined 90%, and men’s ability to purchase sexual services or maintain multiple partnerships fell. The lessons for other countries in southern Africa are unclear since one would wish neither economic decline nor high AIDS mortality for them. However, Zimbabwe had high secondary education levels, particularly in urban men, which facilitated personal integration of AIDS awareness messages. More importantly, the national response saw broad-based community engagement strategies deployed that set the stage for influential interpersonal communication arising from within the population to change sexual norms.

Epidemiology
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Epidemiology

HIV-malaria co-infection: effects of malaria on the prevalence of HIV in East sub-Saharan Africa

Cuadros DF, Branscum AJ, Crowley PH. Int J Epidemiol. 2011 Jan 11

The objective of this study was to examine the association between malaria and HIV prevalence in East sub-Saharan Africa. Using large nationally representative samples of 19,735 sexually active adults from the 2003-04 HIV/AIDS indicator surveys conducted in Kenya, Malawi and Tanzania, and the atlas malaria project, Cuadros and colleagues analysed the relationship between malaria and HIV prevalence adjusting for important socioeconomic and biological cofactors. In adjusted models, individuals who live in areas with a high Plasmodium falciparum parasite rate (>0.42) had increased estimated odds of being HIV positive than individuals who live in areas with low P. falciparum parasite rate (0.10) [men: estimated odds ratio (OR) 2.24, 95% confidence interval (CI) 1.62-3.12; women: estimated OR 2.44, 95% CI 1.85-3.21]. This is the first study to report malaria as a risk factor of concurrent HIV infection at the population level. According to these results, individuals who live in areas with high P. falciparum parasite rate have about twice the risk of being HIV positive compared with individuals who live in areas with low P. falciparum parasite rate. This work emphasizes the need for field studies focused on quantifying the interaction among parasitic infections and risk of HIV infection, and studies to explore the impact of control interventions. Programmes focused on reducing malaria transmission will be important to address, especially in HIV-infected individuals.

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Editors’ note: There are more than 247 million cases of malaria infection each year, 86% of which are in Africa. The geographical overlap between malaria and HIV has suggested the idea that malaria infection could be playing a role in HIV transmission. Exposure to bacterial, viral, and parasitic infections is known to activate the immune system, increasing HIV viral load if a person has HIV and increasing susceptibility to HIV if a person is not infected with HIV. So, although mosquitoes don’t transmit HIV, is the malaria they transmit the real culprit? This well-conducted study combined HIV prevalence data with a spatial database for P. Falciparum parasite prevalence, using GIS (Geographical Information Systems) tools and found a distinct co-factor effect of malaria. After adjusting for important socioeconomic and biological factors, malaria parasite intensity in areas of residence was positively associated with HIV prevalence. Although malaria is not transmitted sexually, the immune activation and increases in HIV viral load that it generates suggests that it may have a similar role to herpes simplex-2 infection in mature HIV epidemics. The authors estimate that HIV viral load increases induced by malaria may account for around 27% of new HIV infections in areas of high malaria parasite intensity. Reducing malaria transmission could have an important impact on the relative risk of HIV infection—malaria control could be conceived as a ‘structural’ component of combination HIV prevention if it changes the risk environment.

Epidemiology
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Epidemiology

Biological Factors that May Contribute to Regional and Racial Disparities in HIV Prevalence

Kaul R, Cohen CR, Chege D, Yi TJ, Tharao W, McKinnon LR, Remis R, Anzala O, Kimani J. Am J Reprod Immunol 2011 Mar;65(3):317-324

Despite tremendous regional and subregional disparities in HIV prevalence around the world, epidemiology consistently demonstrates that black communities have been disproportionately affected by the pandemic. There are many reasons for this, and a narrow focus on socio-behavioural causes may be seen as laying blame on affected communities or individuals. HIV sexual transmission is very inefficient, and a number of biological factors are critical in determining whether an unprotected sexual exposure to HIV results in productive infection. This review will focus on ways in which biology, rather than behaviour, may contribute to regional and racial differences in HIV epidemic spread. Specific areas of focus are viral factors, host genetics, and the impact of co-infections and host immunology. Considering biological causes for these racial disparities may help to destigmatize the issue and lead to new and more effective strategies for prevention.

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Editors’ note: Viral factors, host genetics, co-infections, and host immunology are all hypothesized to influence the two most important determinants of sexual HIV transmission—the level of HIV in genital/rectal secretions in the partner with HIV infection and the number and density of HIV-susceptible target cells in the mucosal lining of the penis, rectum, or female genital tract of the HIV-uninfected partner. The per-exposure risk of HIV transmission from men to women is almost 4-fold higher and that from women to men is 9-fold higher in low-income countries compared to high-income countries. Why is this the case? It is unclear whether virus clade affects patterns of HIV spread and geographic mapping is incomplete of genetic determinants, such as absence of the HIV co-receptor CCR5 on the cell surface created by homozygous CCR5-delta 32 deletion. However, the prevalence of co-infections may explain much of the geographical disparity in HIV. Treatments for tuberculosis, malaria, helminths, schistosomiasis, and filariasis have all been shown to reduce plasma viral load. Genital co-infections are known to increase both HIV transmission and susceptibility. Immune activation and inflammation are key host responses to invading pathogens and HIV replicates more efficiently in activated CD4 cells. Thus, rather than viral factors or host genetics, co-infections are the most likely biological explanation for geographical differences in HIV prevalence worldwide.

Epidemiology
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Treatment outcomes

Adjusting mortality for loss to follow-up: analysis of five ART programmes in sub-Saharan Africa

Brinkhof MW, Spycher BD, Yiannoutsos C, Weigel R, Wood R, Messou E, Boulle A, Egger M, Sterne JA; International epidemiological Database to Evaluate AIDS (IeDEA). PLoS One. 2010 Nov 30;5(11):e14149

Evaluation of antiretroviral treatment antiretroviral therapy programmes in sub-Saharan Africa is difficult because many patients are lost to follow-up. Outcomes in these patients are generally unknown but studies tracing patients have shown mortality to be high. The authors adjusted programme-level mortality in the first year of antiretroviral treatment antiretroviral therapy for excess mortality in patients lost to follow-up. Treatment-naïve patients starting combination antiretroviral therapy in five programmes in Côte d'Ivoire, Kenya, Malawi, and South Africa were eligible. Patients whose last visit was at least nine months before the closure of the database were considered lost to follow-up. The authors filled missing survival times in these patients by multiple imputation, using estimates of mortality from studies that traced patients lost to follow-up. Data were analyzed using Weibull models, adjusting for age, sex, antiretroviral therapy regimen, CD4 cell count, clinical stage, and treatment programme. A total of 15,915 HIV-infected patients (median CD4 cell count 110 cells/µL, median age 35 years, 68% female) were included; 1,001 (6.3%) were known to have died and 1,285 (14.3%) were lost to follow-up in the first year of antiretroviral therapy. Crude estimates of mortality at one year ranged from 5.7% (95% CI 4.9-6.5%) to 10.9% (9.6-12.4%) across the five programmes. Estimated mortality hazard ratios comparing patients lost to follow-up with those remaining in care ranged from 6 to 23. Adjusted estimates based on these hazard ratios ranged from 10.2% (8.9-11.6%) to 16.9% (15.0-19.1%), with relative increases in mortality ranging from 27% to 73% across programmes. Naïve survival analysis ignoring excess mortality in patients lost to follow-up may greatly underestimate overall mortality, and bias antiretroviral therapy programme evaluations. Adjusted mortality estimates can be obtained based on excess mortality rates in patients lost to follow-up.

Abstract

Editors’ note: Loss to follow-up may occur because a patient has died, transport and other costs are too high to continue treatment, HIV-related stigma may have intervened, or treatment adherence has been compromised for other reasons. This research does not focus on how to address loss to follow-up programmatically but rather on how best to adjust antiretroviral programme mortality rates for loss to follow-up. Mortality is the most definitive outcome in life and programmes must strive to measure it correctly and reduce it. The basic question is how much loss to follow-up is due to death. Treating loss to follow-up as a missing data problem, these researchers obtained adjusted mortality estimates used modelling techniques to impute survival times based on plausible estimates from studies that traced individuals lost to follow-up. They report first year adjusted mortality ranging from 10 to 17%. Programmes should adjust their mortality statistics to account for likely rates of mortality among patients lost to follow-up and focus on starting treatment earlier and diagnosing opportunistic infections and cancers in order to bring those mortality rates down.

Epidemiology, Treatment
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Epidemiology

Targeting the hotspots: investigating spatial and demographic variations in HIV infection in small communities in South Africa

Wand H, Ramjee G. J Int AIDS Soc. 2010 Oct 27;13(1):41. [Epub ahead of print]

In South Africa, the severity of the HIV epidemic varies according to geographical location; hence, localized monitoring of the epidemic would enable more effective prevention strategies. The objectives of this study were to assess the core areas of HIV infection in KwaZulu-Natal, South Africa, using epidemiological data among sexually active women from localized communities. A total of 5753 women from urban, peri-rural and rural communities in KwaZulu-Natal were screened from 2002 to 2005. Each participant was geocoded using a global information system, based on residence at time of screening. The Spatial Scan Statistics programme was used to identify areas with disproportionate excesses in HIV prevalence and incidence. This study identified three hotspots with excessively high HIV prevalence rates of 56%, 51% and 39%. A total of 458 sexually active women (19% of all cases) were included in these hotspots, and had been exclusively recruited by the Botha's Hill (west of Durban) and Umkomaas (south of Durban) clinic sites. Most of these women were Christian and Zulu-speaking. They were also less likely to be married than women outside these areas (12% vs. 16%, p=0.001) and more likely to have sex more than three times a week (27% vs. 20%, p<0.001) and to have had more than three sexual partners (55% vs. 45%, p<0.001). Diagnosis of genital herpes simplex virus type 2 was also more common in the hotspots. This study also identified areas of high HIV incidence, which were broadly consistent with those with high prevalence rates. Geographic excesses of HIV infections at rates among the highest in the world were detected in certain rural communities of Durban, South Africa. The results reinforce the inference that risk of HIV infection is associated with definable geographical areas. Localized monitoring of the epidemic is therefore essential for more effective prevention strategies - and particularly urgent in a region such as KwaZulu-Natal, where the epidemic is particularly rampant.

Abstract:

Editors’ note: In this study, data obtained using GIS (geographic information system) and GPS (global positioning system) technologies were fed into a statistical programme to detect clusters or hotspots with a disproportionate excess of HIV infections compared to neighbouring areas. Because the data were generated from women who were screened for participation in HIV prevention trials rather than general population surveys, it is possible that they are not representative of other women in these communities. However, the eligibility criteria are fairly inclusive: being sexually active, being HIV-negative at screening, and residing in the area for at least a year. The criterion ‘not being pregnant and intending to maintain this status’ may indicate that the women screening for these trials were a special sub-population. In any case, the GIS/GPS cluster analysis found distinct geographical hotspots for HIV prevalence, based on the residence of the 2369 women testing positive at initial screening, and for HIV incidence, based on 211 women who seroconverted during the course of the trials. Women who were HIV-positive at screening or subsequently became so, tended to be single and had a higher frequency of sex acts. These geospatial techniques are useful for getting behind the aggregated statistics at national, state, province, or municipal level to reveal the hidden geographical heterogeneity of the epidemic. Now, qualitative studies to understand sexual networking, determine the serostatus and practices of male partners, and explore other contributors to the extraordinary HIV epidemic in these localised areas are warranted to inform tailored prevention programming.

Epidemiology
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