4.4 Article

Have the explosive HIV epidemics in sub-Saharan Africa been driven by higher community viral load?

期刊

AIDS
卷 27, 期 6, 页码 981-989

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/QAD.0b013e32835cb927

关键词

co-infection; epidemic; HIV; mathematical model; sub-Saharan Africa; viral load

资金

  1. Qatar National Research Fund (QNRF), a Qatar Foundation [NPRP 08-068-3-024]
  2. NCRR/NIH [5 KL2 RR025015]
  3. CFAR/NIH [P30 AI027757]
  4. Fred Hutchinson Cancer Research Center
  5. HIV Vaccine Trials Network
  6. AIDS Clinical Trials Group
  7. National Institute of Allergy and Infectious Diseases [AI 68636, AI 38858, AI 68634, AI 38855]

向作者/读者索取更多资源

Objective: The HIV epidemic has carved contrasting trajectories around the world with sub-Saharan Africa (SSA) being most affected. We hypothesized that mean HIV-1 plasma RNA viral loads are higher in SSA than other areas, and that these elevated levels may contribute to the scale of epidemics in this region. Design and methods: To evaluate this hypothesis, we constructed a database of means of 71 668 viral load measurements from 44 cohorts in seven regions of the world. We used linear regression statistical models to estimate differences in viral load between regions. We also constructed and analyzed a mathematical model to describe the impact of the regional viral load differences on HIV epidemic trajectory. Results: We found substantial regional viral load heterogeneity. The mean viral load in SSA was 0.58 log(10) copies/ml higher than in North America (95% confidence interval 0.45-0.71); this represents about a four-fold increase. The highest mean viral loads were found in Southern and East Africa, whereas in Asia, Europe, North America, and South America, mean viral loads were comparable. Mathematical modeling indicated that conservatively 14% of HIV infections in a representative population in Kenya could be attributed to the enhanced infectiousness of patients with heightened viral load. Conclusion: We conclude that community viral load appears to be higher in SSA than in other regions and this may be a central driver of the massive HIV epidemics in this region. The elevated viral loads in SSA may reflect, among other factors, the high burden of co-infections or the preponderance of HIV-1 subtype C infection. (c) 2013 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins AIDS 2013, 27: 981-989

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