Articles tagged as "Indonesia"

Injecting drug use increases risk of TB disease in Indonesians living with HIV

Active and latent tuberculosis among HIV-positive injecting drug users in Indonesia.

Meijerink H, Wisaksana R, Lestari M, Meilana I, Chaidir L, van der Ven AJ, Alisjahbana B, van Crevel R. J Int AIDS Soc. 2015 Feb 16;18(1):19317. doi: 10.7448/IAS.18.1.19317. eCollection 2015.

Introduction: Injecting drug use (IDU) is associated with tuberculosis but few data are available from low-income settings. We examined IDU in relation to active and latent tuberculosis (LTBI) among HIV-positive individuals in Indonesia, which has a high burden of tuberculosis and a rapidly growing HIV epidemic strongly driven by IDU.

Methods: Active tuberculosis was measured prospectively among 1900 consecutive antiretroviral treatment (ART)-naive adult patients entering care in a clinic in West Java. Prevalence of LTBI was determined cross-sectionally in a subset of 518 ART-experienced patients using an interferon-gamma release assay.

Results: Patients with a history of IDU (53.1%) more often reported a history of tuberculosis treatment (34.8% vs. 21.9%, p < 0.001), more often received tuberculosis treatment during follow-up (adjusted HR = 1.71; 95% CI: 1.25-2.35) and more often had bacteriologically confirmed tuberculosis (OR = 1.67; 95% CI: 0.94-2.96). LTBI was equally prevalent among people with and without a history of IDU (29.1 vs. 30.4%, NS). The risk estimates did not change after adjustment for CD4 cell count or ART.

Conclusions: HIV-positive individuals with a history of IDU in Indonesia have more active tuberculosis, with similar rates of LTBI. Within the HIV clinic, LTBI screening and isoniazid preventive therapy may be prioritized to patients with a history of IDU.

Abstract  Full-text [free] access

Editor’s notes: In Europe and northern America, HIV-positive people who inject drugs are at greater risk of TB infection and disease compared with other HIV-positive individuals. In many Asian countries, there is a growing problem of injecting drug use which has contributed to the HIV epidemic. This study explored the association between injecting drug use and TB among people living with HIV in Indonesia. The main analysis included 1900 HIV-positive, ART-naive individuals without TB disease and followed them from enrolment in HIV care to starting TB treatment. Just over half of the study population gave a history of injecting drug use. There was no differentiation between current and historical drug use.

A history of injecting drug use was associated with a 71% increased risk of TB disease during the first year after enrolment in HIV care. This association was maintained after adjusting for age, CD4 cell count and the use of antiretroviral therapy. The association was similar when the analysis was restricted to microbiologically-proven TB disease. The divergence in risk seemed to be early after enrolment, the first six months after entering HIV care. And the majority of TB diagnoses occurred before initiation of ART. This suggests the need for intensified TB diagnostic strategies on enrolment in HIV care. Despite enrolment over almost six years and follow-up for up to six years, the median follow-up was less than a year in the group without a history of injecting drug use. This compares to just under two years for people who inject drugs. This suggests substantial loss to follow-up and may have contributed to the higher observed risk of TB among people who inject drugs. 

This article also reports the prevalence of a positive QuantiFERON Gold In-Tube assay in a separate group of HIV-positive individuals with a median time on ART of over two years. There was no difference in the proportion with a positive QuantiFERON test among individuals with and without a history of injecting drug use. This was a very different study population, however, with a median CD4 cell count >350 cells/µl. Almost half reported previous TB treatment, which makes the QuantiFERON results more difficult to interpret.

These data underline the importance of screening for active TB among people entering HIV care, and of isoniazid preventive therapy for individuals with latent infection.

Avoid TB deaths
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Late antiretroviral therapy start persists for children under two years of age in low- and middle-income countries

Immunodeficiency in children starting antiretroviral therapy in low-, middle-, and high-income countries.

Koller M, Patel K, Chi BH, Wools-Kaloustian K, Dicko F, Chokephaibulkit K, Chimbetete C, Avila D, Hazra R, Ayaya S, Leroy V, Truong HK, Egger M, Davies MA, IeDEA, NISDI, PHACS and IMPAACT 219C studies.  J Acquir Immune Defic Syndr. 2015 Jan 1;68(1):62-72. doi: 10.1097/QAI.0000000000000380.

Background: The CD4 cell count or percent (CD4%) at the start of combination antiretroviral therapy (cART) is an important prognostic factor in children starting therapy and an important indicator of program performance. We describe trends and determinants of CD4 measures at cART initiation in children from low-, middle-, and high-income countries.

Methods: We included children aged <16 years from clinics participating in a collaborative study spanning sub-Saharan Africa, Asia, Latin America, and the United States. Missing CD4 values at cART start were estimated through multiple imputation. Severe immunodeficiency was defined according to World Health Organization criteria. Analyses used generalized additive mixed models adjusted for age, country, and calendar year.

Results: A total of 34 706 children from 9 low-income, 6 lower middle-income, 4 upper middle-income countries, and 1 high-income country (United States) were included; 20 624 children (59%) had severe immunodeficiency. In low-income countries, the estimated prevalence of children starting cART with severe immunodeficiency declined from 76% in 2004 to 63% in 2010. Corresponding figures for lower middle-income countries were from 77% to 66% and for upper middle-income countries from 75% to 58%. In the United States, the percentage decreased from 42% to 19% during the period 1996 to 2006. In low- and middle-income countries, infants and children aged 12-15 years had the highest prevalence of severe immunodeficiency at cART initiation.

Conclusions: Despite progress in most low- and middle-income countries, many children continue to start cART with severe immunodeficiency. Early diagnosis and treatment of HIV-infected children to prevent morbidity and mortality associated with immunodeficiency must remain a global public health priority.

Abstract access 

Editor’s notes: This article describes trends and determinants of CD4 cell measures at antiretroviral therapy (ART) initiation in about 35 000 children in low, middle, and high-income countries. Temporal trends in CD4 measures at ART initiation are a useful indicator of the health system’s ability to identify and treat eligible children in a timely fashion. They are also a useful measure of responsiveness to guideline changes.

Previous WHO guidelines recommended early ART initiation, regardless of immunologic or clinical thresholds. But the authors found that in 2010, approximately two-thirds of children below two years of age, in low- and middle-income countries were still starting ART with severe immunodeficiency.

Delayed country-level implementation of WHO guidelines, poor access to early infant diagnosis, slow turn-around time of test results, and limited ART availability for infants and young children are all contributing factors to this delayed ART initiation. The authors point out that timely diagnosis of paediatric HIV does not necessarily result in timely ART. The main reasons for this diagnosis to treatment gap include HIV diagnostic tests and paediatric ART being located at separate sites without robust referral mechanisms between services. There are challenges with CD4 measurement to determine eligibility. These include access to tests, turn-around time and interpretation of results and health care worker discomfort with treating children.

Currently, only 22% of children living with HIV in sub-Saharan Africa are receiving ART. To decrease the treatment gap among children, WHO 2013 guidelines recommend universal ART for all children living with HIV, aged below five years of age, irrespective of CD4 count or clinical stage. Removing the requirement for a CD4 measurement also removes the time lag while waiting for CD4 results. Thus the guidelines aim both to increase treatment accessibility and to accelerate treatment initiation for all children. 

HIV Treatment
Africa, Asia, Northern America
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Increasing transmitted resistance to antiretroviral therapy in low/middle-income countries - highest prevalence in MSM

Global burden of transmitted HIV drug resistance and HIV-exposure categories: a systematic review and meta-analysis.

Pham QD, Wilson DP, Law MG, Kelleher AD, Zhang L. AIDS. 2014 Nov 28;28(18):2751-62. doi: 10.1097/QAD.0000000000000494.

Objectives: Our aim was to review the global disparities of transmitted HIV drug resistance (TDR) in antiretroviral-naive MSM, people who inject drugs (PWID) and heterosexual populations in both high-income and low/middle-income countries.

Design/methods: We undertook a systematic review of the peer-reviewed English literature on TDR (1999-2013). Random-effects meta-analyses were performed to pool TDR prevalence and compare the odds of TDR across at-risk groups.

Results: A total of 212 studies were included in this review. Areas with greatest TDR prevalence were North America (MSM: 13.7%, PWID: 9.1%, heterosexuals: 10.5%); followed by western Europe (MSM: 11.0%, PWID: 5.7%, heterosexuals: 6.9%) and South America (MSM: 8.3%, PWID: 13.5%, heterosexuals: 7.5%). Our data indicated disproportionately high TDR burdens in MSM in Oceania (Australia 15.5%), eastern Europe/central Asia (10.2%) and east Asia (7.8%). TDR epidemics have stabilized in high-income countries, with a higher prevalence (range 10.9-12.6%) in MSM than in PWID (5.2-8.3%) and heterosexuals (6.4-9.0%) over 1999-2013. In low/middle-income countries, TDR prevalence in all at-risk groups in 2009-2013 almost doubled than that in 2004-2008 (MSM: 7.8 vs. 4.2%, P = 0.011; heterosexuals: 4.1 vs. 2.6%, P < 0.001; PWID: 4.8 vs. 2.4%, P = 0.265, respectively). The risk of TDR infection was significantly greater in MSM than that in heterosexuals and PWID. We observed increasing trends of resistance to non-nucleoside reverse transcriptase and protease inhibitors among MSM.

Conclusion: TDR prevalence is stabilizing in high-income countries, but increasing in low/middle-income countries. This is likely due to the low, but increasing, coverage of antiretroviral therapy in these settings. Transmission of TDR is most prevalent among MSM worldwide.

Abstract access 

Editor’s notes: HIV mutates very rapidly, and many early antiretroviral agents had a low genetic barrier to the development of resistance. Thus the emergence of virus resistant to antiretroviral agents, particularly to early drug classes, was inevitable. Surveillance for drug-resistant virus among people with no prior history of taking antiretroviral drugs (transmitted drug resistance) is essential to monitor the spread of drug resistance at population level.

This systematic review aimed to compare transmitted drug resistance in different geographical regions and between subpopulations of HIV-positive people by likely route of transmission. Transmitted resistance was most prevalent in high income settings. This is not surprising given wide use of suboptimal drug regimens before effective triple therapy was available. Reassuringly, the prevalence of transmitted resistance seems to have stabilised in high-income settings. The increase in transmitted resistance in low and middle income countries is of more concern. It is not surprising, given that first-line regimens comprising two nucleoside reverse transcriptase inhibitors and a non-nucleoside reverse transcriptase inhibitor are vulnerable to the development of resistance if the drug supply is interrupted or adherence is suboptimal. In addition, if viral load monitoring is not available, people remain on failing drug regimens for longer, and thus have more risk of transmitting resistant virus.

Within the subpopulations examined in this review, transmitted resistance was consistently higher in men who have sex with men, suggesting that resistance testing prior to treatment is particularly valuable for this population.

Limitations of the review include exclusion of studies that did not compare transmitted resistance between the specified subpopulations, and small sample size in many subgroups.

Continued surveillance for transmitted drug resistance is critical. This is most important in settings where individualised resistance testing is not available. This will ensure that people starting antiretroviral therapy receive treatment that will suppress their viral load effectively. Wider use of viral load monitoring, combined with access to effective second and third line regimens, will also help limit spread of drug resistance.

HIV Treatment
Angola, Argentina, Australia, Austria, Belgium, Benin, Botswana, Brazil, Burkina Faso, Cambodia, Cameroon, Canada, Central African Republic, Chad, China, Côte d'Ivoire, Croatia, Cuba, Cyprus, Denmark, Dominican Republic, El Salvador, Estonia, Ethiopia, France, Gabon, Georgia, Germany, Greece, Guatemala, Honduras, Hong Kong Special Administrative Region of China, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kazakhstan, Kenya, Latvia, Malawi, Malaysia, Moldova, Mozambique, Netherlands, Peru, Philippines, Poland, Portugal, Republic of Korea, Romania, Russia, Rwanda, Slovenia, South Africa, Spain, Swaziland, Sweden, Switzerland, Taiwan, Thailand, Uganda, United Kingdom of Great Britain and Northern Ireland, United Republic of Tanzania, United States of America, Viet Nam, Zambia, Zimbabwe
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Disease-specific Global Fund grants may be preventing the realisation of system-wide synergies for increased human resources for health

Global Fund investments in human resources for health: innovation and missed opportunities for health systems strengthening.

Bowser D, Sparkes SP, Mitchell A, Bossert TJ, Bärnighausen T, Gedik G, Atun R. Health Policy Plan. 2014 Dec;29(8):986-97. doi: 10.1093/heapol/czt080. Epub 2013 Nov 6.

Background: Since the early 2000s, there have been large increases in donor financing of human resources for health (HRH), yet few studies have examined their effects on health systems.

Objective: To determine the scope and impact of investments in HRH by the Global Fund to Fight AIDS, Tuberculosis and Malaria (Global Fund), the largest investor in HRH outside national governments.

Methods: We used mixed research methodology to analyse budget allocations and expenditures for HRH, including training, for 138 countries receiving money from the Global Fund during funding rounds 1-7. From these aggregate figures, we then identified 27 countries with the largest funding for human resources and training and examined all HRH-related performance indicators tracked in Global Fund grant reports. We used the results of these quantitative analyses to select six countries with substantial funding and varied characteristics-representing different regions and income levels for further in-depth study: Bangladesh (South and West Asia, low income), Ethiopia (Eastern Africa, low income), Honduras (Latin America, lower-middle income), Indonesia (South and West Asia, lower-middle income), Malawi (Southern Africa, low income) and Ukraine (Eastern Europe and Central Asia, upper-middle income). We used qualitative methods to gather information in each of the six countries through 159 interviews with key informants from 83 organizations. Using comparative case-study analysis, we examined Global Fund's interactions with other donors, as well as its HRH support and co-ordination within national health systems.

Results: Around US$1.4 billion (23% of total US$5.1 billion) of grant funding was allocated to HRH by the 138 Global Fund recipient countries. In funding rounds 1-7, the six countries we studied in detail were awarded a total of 47 grants amounting to US$1.2 billion and HRH budgets of US$276 million, of which approximately half were invested in disease-focused in-service and short-term training activities. Countries employed a variety of mechanisms including salary top-ups, performance incentives, extra compensation and contracting of workers for part-time work, to pay health workers using Global Fund financing. Global Fund support for training and salary support was not co-ordinated with national strategic plans and there were major deficiencies in the data collected by the Global Fund to track HRH financing and to provide meaningful assessments of health system performance.

Conclusion: The narrow disease focus and lack of co-ordination with national governments call into question the efficiency of funding and sustainability of Global Fund investments in HRH and their effectiveness in strengthening recipient countries' health systems. The lessons that emerge from this analysis can be used by both the Global Fund and other donors to improve co-ordination of investments and the effectiveness of programmes in recipient countries.

Abstract access 

Editor’s notes: This study describes Global Fund’s budget allocations, expenditures and specific activities on human resources for health (HRH) from 2002 to 2010. The authors were particularly interested in exploring whether and how these investments contributed to health system strengthening through a more detailed qualitative analysis of six geographically and programmatically different countries.  

They find that the 27 countries with the largest budgeted HRH expenditures allocated some 29.6% to HRH, and had a ratio of 1.35 health workers trained in comparison to the total national health workforce, suggesting duplication of training activities and programme inefficiency. This reflects the confirmed lack of coordination with national HRH training programmes that the authors documented, particularly in Ethiopia, Bangladesh and Malawi. In terms of coordinating HRH salary support and financing plans, only Honduras and Malawi had developed plans for absorbing some of the health workers that were being covered by Global Fund grants. In other countries, the top-ups and monetary compensation/ incentives funded through Global Fund grants to increase retention and motivation, were considered short-term and would not be sustained. Of the six country case studies, it is only in Malawi that the Global Fund coordinated its efforts with the national HRH strategy and other donor programmes.

The study highlights the need for a paradigm shift away from disease-focused grants to co-investments in HIV, tuberculosis and malaria that would allow the realisation of remarkable synergies and efficiency gains.

Africa, Asia, Europe, Latin America
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Counting and classifying global deaths

Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Murray CJ, Ortblad KF, Guinovart C, et al. Lancet. 2014 Sep 13;384(9947):1005-70. doi: 10.1016/S0140-6736(14)60844-8. Epub 2014 Jul 22.

Background: The Millennium Declaration in 2000 brought special global attention to HIV, tuberculosis, and malaria through the formulation of Millennium Development Goal (MDG) 6. The Global Burden of Disease 2013 study provides a consistent and comprehensive approach to disease estimation for between 1990 and 2013, and an opportunity to assess whether accelerated progress has occurred since the Millennium Declaration.

Methods: To estimate incidence and mortality for HIV, we used the UNAIDS Spectrum model appropriately modified based on a systematic review of available studies of mortality with and without antiretroviral therapy (ART). For concentrated epidemics, we calibrated Spectrum models to fit vital registration data corrected for misclassification of HIV deaths. In generalised epidemics, we minimised a loss function to select epidemic curves most consistent with prevalence data and demographic data for all-cause mortality. We analysed counterfactual scenarios for HIV to assess years of life saved through prevention of mother-to-child transmission (PMTCT) and ART. For tuberculosis, we analysed vital registration and verbal autopsy data to estimate mortality using cause of death ensemble modelling. We analysed data for corrected case-notifications, expert opinions on the case-detection rate, prevalence surveys, and estimated cause-specific mortality using Bayesian meta-regression to generate consistent trends in all parameters. We analysed malaria mortality and incidence using an updated cause of death database, a systematic analysis of verbal autopsy validation studies for malaria, and recent studies (2010-13) of incidence, drug resistance, and coverage of insecticide-treated bednets.

Findings: Globally in 2013, there were 1.8 million new HIV infections (95% uncertainty interval 1.7 million to 2.1 million), 29.2 million prevalent HIV cases (28.1 to 31.7), and 1.3 million HIV deaths (1.3 to 1.5). At the peak of the epidemic in 2005, HIV caused 1.7 million deaths (1.6 million to 1.9 million). Concentrated epidemics in Latin America and eastern Europe are substantially smaller than previously estimated. Through interventions including PMTCT and ART, 19.1 million life-years (16.6 million to 21.5 million) have been saved, 70.3% (65.4 to 76.1) in developing countries. From 2000 to 2011, the ratio of development assistance for health for HIV to years of life saved through intervention was US$ 4498 in developing countries. Including in HIV-positive individuals, all-form tuberculosis incidence was 7.5 million (7.4 million to 7.7 million), prevalence was 11.9 million (11.6 million to 12.2 million), and number of deaths was 1.4 million (1.3 million to 1.5 million) in 2013. In the same year and in only individuals who were HIV-negative, all-form tuberculosis incidence was 7.1 million (6.9 million to 7.3 million), prevalence was 11.2 million (10.8 million to 11.6 million), and number of deaths was 1.3 million (1.2 million to 1.4 million). Annualised rates of change (ARC) for incidence, prevalence, and death became negative after 2000. Tuberculosis in HIV-negative individuals disproportionately occurs in men and boys (versus women and girls); 64.0% of cases (63.6 to 64.3) and 64.7% of deaths (60.8 to 70.3). Globally, malaria cases and deaths grew rapidly from 1990 reaching a peak of 232 million cases (143 million to 387 million) in 2003 and 1.2 million deaths (1.1 million to 1.4 million) in 2004. Since 2004, child deaths from malaria in sub-Saharan Africa have decreased by 31.5% (15.7 to 44.1). Outside of Africa, malaria mortality has been steadily decreasing since 1990.

Interpretation: Our estimates of the number of people living with HIV are 18.7% smaller than UNAIDS's estimates in 2012. The number of people living with malaria is larger than estimated by WHO. The number of people living with HIV, tuberculosis, or malaria have all decreased since 2000. At the global level, upward trends for malaria and HIV deaths have been reversed and declines in tuberculosis deaths have accelerated. 101 countries (74 of which are developing) still have increasing HIV incidence. Substantial progress since the Millennium Declaration is an encouraging sign of the effect of global action.

Abstract  Full-text [free] access

Editor’s notes: The Global Burden of Disease (GBD) study uses standard methods to compare and track over time national distributions of deaths by cause, and the prevalence of disease and disability.  This detailed report focuses on HIV, TB and Malaria. It presents regional summaries of incidence, prevalence and mortality rates, and national estimates of the number of male and female deaths and new infections. Point estimates are shown for 2013, and annualised rates of change for 1990-2000 and 2000-2013. These highlight the contrasting trends in disease impact before and after the formulation of the Millennium Development Goal to combat these diseases.  The global peak of HIV mortality occurred in 2005, but regional annualised rates of change for 2000-2013 indicate that HIV deaths are still increasing significantly in east Asia, southern Africa, and most rapidly in eastern Europe.

The GBD 2013 global estimates of new infections and deaths agree closely with the corresponding estimates made by UNAIDS. But there are significant differences in the respective estimates of the number of people currently living with HIV (UNAIDS estimates are some 18% higher), and historical trends in AIDS deaths, with UNAIDS judging that the recent fall has been steeper. These differences are attributed primarily to methods used in the GBD study to ensure that the sum of deaths from specific causes fits the estimated all cause total, and to varying assumptions about historical survival patterns following HIV infection. 

It may be worthwhile to look at a comment by Michel Sidibé, Mark Dybul, and Deborah Birx in the Lancet on MDG 6 and beyond: from halting and reversing AIDS to ending the epidemic which refers to this study.

Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Australia, Austria, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Canada, Cape Verde, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo, Costa Rica, Côte d'Ivoire, Croatia, Cuba, Cyprus, Czech Republic, Democratic People's Republic of Korea, Democratic Republic of the Congo, Democratic Republic of Timor-Leste, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran (Islamic Republic of), Iraq, Ireland, Israel, Italy, Jamaica, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Kyrgyzstan, Lao People's Democratic Republic, Latvia, Lebanon, Lesotho, Liberia, Libyan Arab Jamahiriya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia (Federated States of), Monaco, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Palestinian Territory, Occupied, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russian Federation, Rwanda, Saint Lucia, Saint Vincent and the Grenadines, Samoa, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia and Montenegro, Seychelles, Sierra Leone, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Tajikistan, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United States of America, Uruguay, Uzbekistan, Vanuatu, Venezuela, Viet Nam, Yemen, Zimbabwe
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Model estimates large global burden of childhood tuberculosis infection and potentially preventable future tuberculosis disease

Burden of childhood tuberculosis in 22 high-burden countries: a mathematical modelling study.

Dodd PJ, Gardiner E, Coghlan R, Seddon JA. Lancet Glob Health. 2014 Aug;2(8):e453-9. doi: 10.1016/S2214-109X(14)70245-1. Epub 2014 Jul 8.

Background: Confirmation of a diagnosis of tuberculosis in children (aged <15 years) is challenging; under-reporting can result even when children do present to health services. Direct incidence estimates are unavailable, and WHO estimates build on paediatric notifications, with adjustment for incomplete surveillance by the same factor as adult notifications. We aimed to estimate the incidence of infection and disease in children, the prevalence of infection, and household exposure in the 22 countries with a high burden of the disease.

Methods: Within a mechanistic mathematical model, we combined estimates of adult tuberculosis prevalence in 2010, with aspects of the natural history of paediatric tuberculosis. In a household model, we estimated household exposure and infection. We accounted for the effects of age, BCG vaccination, and HIV infection. Additionally, we tested sensitivity to key structural assumptions by repeating all analyses without variation in BCG efficacy by latitude.

Findings: The median number of children estimated to be sharing a household with an individual with infectious tuberculosis in 2010 was 15 319 701 (IQR 13 766 297-17 061 821). In 2010, the median number of Mycobacterium tuberculosis infections in children was 7 591 759 (5 800 053-9 969 780), and 650 977 children (424 871-983 118) developed disease. Cumulative exposure meant that the median number of children with latent infection in 2010 was 53 234 854 (41 111 669-68 959 804). The model suggests that 35% (23-54) of paediatric cases of tuberculosis in the 15 countries reporting notifications by age in 2010 were detected. India is predicted to account for 27% (22-33) of the total burden of paediatric tuberculosis in the 22 countries. The predicted proportion of tuberculosis burden in children for each country correlated with incidence, varying between 4% and 21%.

Interpretation: Our model has shown that the incidence of paediatric tuberculosis is higher than the number of notifications, particularly in young children. Estimates of current household exposure and cumulative infection suggest an enormous opportunity for preventive treatment.

Abstract  Full-text [free] access 

Editor’s notes: Estimating the burden of childhood tuberculosis has been largely neglected until recently. Children with tuberculosis rarely transmit and therefore from a control perspective, childhood tuberculosis does not notably contribute to the continuation of the tuberculosis epidemic. This modelling paper attempts to estimate the global burden of childhood tuberculosis infection and disease. Incidence estimates are made by using adult tuberculosis prevalence data to tackle the known limitations of using paediatric notification data. A second model estimates the prevalence of infection in children and household exposure, ignoring exposure outside of the household.  As with all mathematical model predictions, precision of estimates are dependent on the data used as inputs in the model. Despite these limitations, the paper draws attention to the fact that the burden of childhood tuberculosis infection and disease is significant and reflects failure of tuberculosis control in the 22 high-burden countries. The paper also highlights the fact that household contact tracing and preventive therapy in tuberculosis-exposed children could substantially reduce future tuberculosis-related morbidity.

Avoid TB deaths
Comorbidity, Epidemiology
Africa, Asia, Latin America
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How can we improve the UNAIDS modes of transmission model?

The HIV modes of transmission model: a systematic review of its findings and adherence to guidelines.

Shubber Z, Mishra S, Vesga JF, Boily MC. J Int AIDS Soc. 2014 Jun 23;17:18928. doi: 10.7448/IAS.17.1.18928. eCollection 2014.

Introduction: The HIV Modes of Transmission (MOT) model estimates the annual fraction of new HIV infections (FNI) acquired by different risk groups. It was designed to guide country-specific HIV prevention policies. To determine if the MOT produced context-specific recommendations, we analyzed MOT Results by region and epidemic type, and explored the factors (e.g. data used to estimate parameter inputs, adherence to guidelines) influencing the differences.

Methods: We systematically searched MEDLINE, EMBASE and UNAIDS reports, and contacted UNAIDS country directors for published MOT Results from MOT inception (2003) to 25 September 2012.

Results: We retrieved four journal articles and 20 UNAIDS reports covering 29 countries. In 13 countries, the largest FNI (range 26 to 63%) was acquired by the low-risk group and increased with low-risk population size. The FNI among female sex workers (FSWs) remained low (median 1.3%, range 0.04 to 14.4%), with little variability by region and epidemic type despite variability in sexual behaviour. In India and Thailand, where FSWs play an important role in transmission, the FNI among FSWs was 2 and 4%, respectively. In contrast, the FNI among men who have sex with men (MSM) varied across regions (range 0.1 to 89%) and increased with MSM population size. The FNI among people who inject drugs (PWID, range 0 to 82%) was largest in early-phase epidemics with low overall HIV prevalence. Most MOT studies were conducted and reported as per guidelines but data quality remains an issue.

Conclusions: Although countries are generally performing the MOT as per guidelines, there is little variation in the FNI (except among MSM and PWID) by region and epidemic type. Homogeneity in MOT FNI for FSWs, clients and low-risk groups may limit the utility of MOT for guiding country-specific interventions in heterosexual HIV epidemics.

 Abstract  Full-text [free] access

Editor’s notes: In 2002, the HIV Modes of Transmission model (MoT) was developed by UNAIDS to inform and focus, country-specific HIV prevention policies. The idea behind the model was to use simple mathematical modelling approaches, in combination with country specific data, to predict what the distribution of new HIV infection may look like. In this way, countries would be able to better focus their HIV response. Since its development and through 2012, the MoT has been applied in 29 countries, with the findings being used in many settings to shape priorities. In this study, the authors assess the degree to which the MoT produces different outputs in different epidemic contexts. They explore whether there are key parameters in the model that seem to drive similarities and/or differences in projections between countries. Surprisingly, across a broad range of epidemic settings, they found limited variability in the predicted annual fraction of new HIV infections (FNI) acquired by female sex workers (FSW) (0.04-14.4%). There were higher levels of variability between countries in the projected fraction of new HIV infections among men who have sex with men (0.01-89%) and people who inject drugs (0-82%).

The differences in the MoT projections were largely dependent on whether the country in question was categorised as having a concentrated / low-level epidemic, versus generalised epidemic, as defined by UNAIDS. Differences also arose depending upon whether ‘low risk groups’ were also included in the model. Indeed, for 22 of the 25 studies that included a low-risk group, this group was predicted to have a large annual fraction of new HIV infections (11.8-62.9%). This phenomenon arose, not because of high transmission rates in this group (in comparison to others such as MSM or PWIDs) but because these ‘low risk groups’ are large. They are one third of the total population. These findings may be misleading, as the projected high fraction of transmission is dependent on the assumption that everyone in this ‘low risk group’ does have some risk.

It appears that although the MoT was designed to address an important need, it is likely to have limited utility to guide programming in heterosexually driven epidemics.  To address this limitation, UNAIDS is supporting the HIV Modelling Consortium in their development of a revised MoT model that takes into better consideration risk categorization, data constraints and programmatic needs. The revised model is currently undergoing field testing and will be available for country use in 2015.

Africa, Asia, Europe, Latin America
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Integrating HIV, malaria and diarrhoea prevention is far more efficient than vertical programmes

Scaling up integrated prevention campaigns for global health: costs and cost-effectiveness in 70 countries. 

Marseille E, Jiwani A, Raut A, Verguet S, Walson J, Kahn JG. BMJ Open. 2014 Jun 26;4(6):e003987. doi: 10.1136/bmjopen-2013-003987.

Objective: This study estimated the health impact, cost and cost-effectiveness of an integrated prevention campaign (IPC) focused on diarrhoea, malaria and HIV in 70 countries ranked by per capita disability-adjusted life-year (DALY) burden for the three diseases.

Methods: We constructed a deterministic cost-effectiveness model portraying an IPC combining counselling and testing, cotrimoxazole prophylaxis, referral to treatment and condom distribution for HIV prevention; bed nets for malaria prevention; and provision of household water filters for diarrhoea prevention. We developed a mix of empirical and modelled cost and health impact estimates applied to all 70 countries. One-way, multiway and scenario sensitivity analyses were conducted to document the strength of our findings. We used a healthcare payer's perspective, discounted costs and DALYs at 3% per year and denominated cost in 2012 US dollars.

Primary and secondary outcomes: The primary outcome was cost-effectiveness expressed as net cost per DALY averted. Other outcomes included cost of the IPC; net IPC costs adjusted for averted and additional medical costs and DALYs averted.

Results: Implementation of the IPC in the 10 most cost-effective countries at 15% population coverage would cost US$583 million over 3 years (adjusted costs of US$398 million), averting 8.0 million DALYs. Extending IPC programmes to all 70 of the identified high-burden countries at 15% coverage would cost an adjusted US$51.3 billion and avert 78.7 million DALYs. Incremental cost-effectiveness ranged from US$49 per DALY averted for the 10 countries with the most favourable cost-effectiveness to US$119, US$181, US$335, US$1 692 and US$8 340 per DALY averted as each successive group of 10 countries is added ordered by decreasing cost-effectiveness.

Conclusions: IPC appears cost-effective in many settings, and has the potential to substantially reduce the burden of disease in resource-poor countries. This study increases confidence that IPC can be an important new approach for enhancing global health.

Abstract  Full-text [free] access

Editor’s notes: Increasingly governments and policy makers are seeking to identify how to invest resources most effectively, to achieve multiple health and development outcomes. This paper presents a cost-effectiveness analysis of an integrated campaign to prevent diarrhoea, malaria and HIV.  

They developed a model to estimate the cost per disability adjusted life year (DALY) averted by this intervention, across 70 countries with high disease burden, assuming 15% coverage. The authors categorise countries by income level and their opportunity index (i.e. the opportunity to avert DALYs by having a high disease burden). The findings suggest that an integrated prevention campaign (IPC) could cost as little as US$7 per DALY averted in Guinea-Bissau, a low income, high opportunity country. As would be expected, the contribution of the different IPC components varied by country, depending on their relative disease burdens. This suggests that further focusing of activities within countries may further improve efficiency.

The model was also used to consider potential roll out strategies across counties. For this, countries were grouped into blocks of 10, and ordered with increasing incremental-cost effectiveness. The authors suggest that reaching the top 40 countries with IPC, even at just 15% coverage, could achieve far greater health benefits, with a substantially lower budget, than requested under PEPFAR for antiretroviral therapy alone.

This paper provides further evidence of the need for a more integrated approach to improve population health across disease areas.

Africa, Asia, Europe, Latin America
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CD4 counts at antiretroviral therapy start rising globally, but could do better!

Immunodeficiency at the start of combination antiretroviral therapy in low-,  middle-, and high-income countries.

The IeDEA and ART Cohort Collaborations. J Acquir Immune Defic Syndr 2014 Jan 1;65(1):e8-e16. doi: 10.1097/QAI.0b013e3182a39979.

Objective: To describe the CD4 cell count at the start of combination antiretroviral therapy (cART) in low-income (LIC), lower middle-income (LMIC), upper middle-income (UMIC), and high-income (HIC) countries.

Methods: Patients aged 16 years or older starting cART in a clinic participating in a multicohort collaboration spanning 6 continents (International epidemiological Databases to Evaluate AIDS and ART Cohort Collaboration) were eligible. Multilevel linear regression models were adjusted for age, gender, and calendar year; missing CD4 counts were imputed.

Results: In total, 379 865 patients from 9 LIC, 4 LMIC, 4 UMIC, and 6 HIC were included. In LIC, the median CD4 cell count at cART initiation increased by 83% from 80 to 145 cells/µL between 2002 and 2009. Corresponding increases in LMIC, UMIC, and HIC were from 87 to 155 cells/µL (76% increase), 88 to 135 cells/µL (53%), and 209 to 274 cells/µL (31%). In 2009, compared with LIC, median counts were 13 cells/µL [95% confidence interval (CI): -56 to +30] lower in LMIC, 22 cells/µL (-62 to +18) lower in UMIC, and 112 cells/µL (+75 to +149) higher in HIC. They were 23 cells/µL (95% CI: +18 to +28 cells/µL) higher in women than men. Median counts were 88 cells/µL (95% CI: +35 to +141 cells/µL) higher in countries with an estimated national cART coverage >80%, compared with countries with <40% coverage.

Conclusions: Median CD4 cell counts at the start of cART increased 2000-2009 but remained below 200 cells/µL in LIC and MIC and below 300 cells/µL in HIC. Earlier start of cART will require substantial efforts and resources globally.

Abstract access 

Editor’s notes: In this multi-cohort analysis spanning six continents, median CD4 counts at initiation of combination antiretroviral therapy were substantially higher in high-income compared to low- or middle-income countries. Median CD4 counts at initiation increased between 2002 and 2009 in most countries studied, but these increases were greater in low- and middle-income than high-income countries and were greater among men than women. Baseline CD4 counts in low- and middle-income countries were higher among countries with national antiretroviral therapy coverage of 80% or above. Nevertheless, despite the massive scale-up of antiretroviral therapy in low-income countries since 2002, the increases in median CD4 count at the start of antiretroviral therapy have been modest. Substantial efforts and resources are needed to achieve earlier implementation of antiretroviral therapy globally.

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An integrated investment approach for women’s and children’s health

Advancing social and economic development by investing in women's and children's health: a new Global Investment Framework.

Stenberg K, Axelson H, Sheehan P, Anderson I, Gülmezoglu AM, Temmerman M, Mason E, Friedman HS, Bhutta ZA, Lawn JE, Sweeny K, Tulloch J, Hansen P, Chopra M, Gupta A, Vogel JP, Ostergren M, Rasmussen B, Levin C, Boyle C, Kuruvilla S, Koblinsky M, Walker N, de Francisco A, Novcic N, Presern C, Jamison D, Bustreo F; on behalf of the Study Group for the Global Investment Framework for Women's Children's Health. Lancet. 2013 Nov 18. doi: S0140-6736(13)62231-X. pii: 10.1016/S0140-6736(13)62231-X. [Epub ahead of print]

A new Global Investment Framework for Women's and Children's Health demonstrates how investment in women's and children's health will secure high health, social, and economic returns. We costed health systems strengthening and six investment packages for: maternal and newborn health, child health, immunisation, family planning, HIV/AIDS, and malaria. Nutrition is a cross-cutting theme. We then used simulation modelling to estimate the health and socioeconomic returns of these investments. Increasing health expenditure by just $5 per person per year up to 2035 in 74 high-burden countries could yield up to nine times that value in economic and social benefits. These returns include greater gross domestic product (GDP) growth through improved productivity, and prevention of the needless deaths of 147 million children, 32 million stillbirths, and 5 million women by 2035. These gains could be achieved by an additional investment of $30 billion per year, equivalent to a 2% increase above current spending.

Abstract access 

Editor’s notes: Over the past 20 years there have been substantial gains in maternal and child health (MCH). However, much still needs to be done – assuming a continuation of current rates of progress, there would nevertheless be shortfalls in the achievement of MDG 4 and 5 targets. Especially in sub-Saharan Africa, HIV is an important underlying cause of maternal and child ill health. This paper models the costs and benefits of an accelerated action on MCH, including for HIV, the prevention of mother to child HIV transmission; first line treatment for pregnant women; cotrimoxazole for children, and the provision of paediatric antiretroviral therapy (ART). These HIV services are complemented by health systems strengthening; increased family planning provision; and packages for malaria, immunisation, and child health. The paper is interesting for many reasons, including both the breadth of its intervention focus, and the detailed modelling of the likely health, social and economic benefits of such investments.

Although the direct HIV related benefits are not described in detail in the main paper, it is likely that these result both from increased contraceptive use (prong 2 for preventing vertical HIV transmission), as well as ART and cotrimoxazole provision. It also illustrates the potential value of developing a cross-disease investment approach, as a means to ensure that services effectively respond to the breadth of women’s and children’s health needs. This more ‘joined up’, integrated perspective on strategies for health investment can support core investments in health systems strengthening. It can also potentially achieve important cross-disease synergies, e.g., ensuring that a child who has not acquired HIV at birth does not then die from malaria. 

Africa, Asia, Latin America, Oceania
Afghanistan, Angola, Azerbaijan, Bangladesh, Benin, Bolivia, Botswana, Brazil, Burkina Faso, Burundi, Cambodia, Cameroon, Central African Republic, Chad, China, Comoros, Congo, Côte d'Ivoire, Democratic People's Republic of Korea, Democratic Republic of the Congo, Djibouti, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guatemala, Guinea, Guinea-Bissau, Haiti, India, Indonesia, Iraq, Kenya, Kyrgyzstan, Lao People's Democratic Republic, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mexico, Morocco, Mozambique, Myanmar, Nepal, Niger, Nigeria, Pakistan, Papua New Guinea, Peru, Philippines, Rwanda, Sao Tome and Principe, Senegal, Sierra Leone, Solomon Islands, Somalia, South Africa, Sudan, Swaziland, Tajikistan, Togo, Turkmenistan, Uganda, United Republic of Tanzania, Uzbekistan, Viet Nam, Yemen, Zambia, Zimbabwe
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