Outcomes of antiretroviral treatment in programmes with and without routine viral load monitoring in southern Africa

被引:95
作者
Keiser, Olivia [1 ]
Chi, Benjamin H. [2 ]
Gsponer, Thomas [1 ]
Boulle, Andrew [3 ]
Orrell, Catherine [4 ]
Phiri, Sam [5 ]
Maxwell, Nicola [3 ]
Maskew, Mhairi [6 ]
Prozesky, Hans [7 ,8 ]
Fox, Matthew P. [6 ,9 ,10 ]
Westfall, Andrew [2 ]
Egger, Matthias [1 ]
机构
[1] Univ Bern, ISPM, Div Int & Environm Hlth, CH-3012 Bern, Switzerland
[2] Ctr Infect Dis Res Zambia, Lusaka, Zambia
[3] Univ Cape Town, Sch Publ Hlth & Family Med, ZA-7925 Cape Town, South Africa
[4] Univ Cape Town, Inst Infect Dis & Mol Med, Desmond Tutu HIV Ctr, ZA-7925 Cape Town, South Africa
[5] Kamuzu Cent Hosp, Lighthouse Trust Clin, Lilongwe, Malawi
[6] Univ Witwatersrand, Dept Med, Clin HIV Res Unit, Fac Hlth Sci, ZA-2001 Johannesburg, South Africa
[7] Univ Stellenbosch, Div Infect Dis, Dept Med, Cape Town, South Africa
[8] Tygerberg Acad Hosp, Cape Town, South Africa
[9] Boston Univ, Ctr Global Hlth & Dev, Boston, MA 02215 USA
[10] Boston Univ, Dept Epidemiol, Boston, MA 02215 USA
基金
瑞士国家科学基金会;
关键词
loss to follow-up; mortality; second-line therapy; southern Africa; viral load monitoring; RESOURCE-LIMITED SETTINGS; FOLLOW-UP; IMMUNOLOGICAL RESPONSE; COLLABORATIVE ANALYSIS; HIV THERAPY; MORTALITY; SUPPRESSION; FAILURE; DISEASE;
D O I
10.1097/QAD.0b013e328349822f
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Objectives: To compare outcomes of antiretroviral therapy (ART) in South Africa, where viral load monitoring is routine, with those in Malawi and Zambia, where monitoring is based on CD4 cell counts. Methods: We included 18 706 adult patients starting ART in South Africa and 80 937 patients in Zambia or Malawi. We examined CD4 responses in models for repeated measures and the probability of switching to second-line regimens, mortality and loss to follow-up in multistate models, measuring time from 6 months. Results: In South Africa, 9.8% [95% confidence interval (CI) 9.1-10.5] had switched at 3 years, 1.3% (95% CI 0.9-1.6) remained on failing first-line regimens, 9.2% (95% CI 8.5-9.8) were lost to follow-up and 4.3% (95% CI 3.9-4.8) had died. In Malawi and Zambia, more patients were on a failing first-line regimen [3.7% (95% CI 3.6-3.9], fewer patients had switched [2.1% (95% CI 2.0-2.3)] and more patients were lost to follow-up [15.3% (95% CI 15.0-15.6)] or had died [6.3% (95% CI 6.0-6.5)]. Median CD4 cell counts were lower in South Africa at the start of ART (93 vs. 132 cells/mu l; P<0.001) but higher after 3 years (425 vs. 383 cells/mu l; P<0.001). The hazard ratio comparing South Africa with Malawi and Zambia after adjusting for age, sex, first-line regimen and CD4 cell count was 0.58 (0.50-0.66) for death and 0.53 (0.48-0.58) for loss to follow-up. Conclusion: Over 3 years of ART mortality was lower in South Africa than in Malawi or Zambia. The more favourable outcome in South Africa might be explained by viral load monitoring leading to earlier detection of treatment failure, adherence counselling and timelier switching to second-line ART. (C) 2011 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins
引用
收藏
页码:1761 / 1769
页数:9
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