Rates and Predictors of Failure of First-line Antiretroviral Therapy and Switch to Second-line ART in South Africa

被引:108
作者
Fox, Matthew P. [1 ,2 ]
Van Cutsem, Gilles [3 ]
Giddy, Janet [4 ]
Maskew, Mhairi [5 ]
Keiser, Olivia [6 ]
Prozesky, Hans [7 ,8 ]
Wood, Robin [9 ]
Hernan, Miguel A. [10 ,11 ]
Sterne, Jonathan A. C. [12 ]
Egger, Matthias [6 ]
Boulle, Andrew [13 ]
机构
[1] Boston Univ, Ctr Global Hlth & Dev, Boston, MA 02215 USA
[2] Boston Univ, Dept Epidemiol, Sch Publ Hlth, Boston, MA 02215 USA
[3] Med Sans Frontier, Cape Town, South Africa
[4] McCord Hosp, Durban, South Africa
[5] Univ Witwatersrand, Clin HIV Res Unit, Johannesburg, South Africa
[6] Univ Bern, Inst Social & Prevent Med, Bern, Switzerland
[7] Univ Stellenbosch, Dept Med, Cape Town, South Africa
[8] Tygerberg Acad Hosp, Cape Town, South Africa
[9] Univ Cape Town, Desmond Tutu HIV Ctr, ZA-7925 Cape Town, South Africa
[10] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[11] Harvard MIT Div Hlth Sci & Technol, Boston, MA USA
[12] Univ Bristol, Dept Social Med, Sch Social & Community Med, Bristol, Avon, England
[13] Univ Cape Town, Ctr Infect Dis Epidemiol & Res, Sch Publ Hlth & Family Med, ZA-7925 Cape Town, South Africa
基金
瑞士国家科学基金会;
关键词
HIV; AIDS; antiretroviral therapy; viral load; virologic treatment failure; second line; RESOURCE-LIMITED SETTINGS; SUB-SAHARAN AFRICA; HIV-INFECTED ADULTS; CD4 CELL COUNT; VIROLOGICAL FAILURE; DRUG-RESISTANCE; SCALE-UP; MULTIPLE IMPUTATION; TREATMENT PROGRAM; VIRAL LOAD;
D O I
10.1097/QAI.0b013e3182557785
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 measure rates and predictors of virologic failure and switch to second-line antiretroviral therapy (ART) in South Africa. Design: Observational cohort study. Methods: We included ART-naive adult patients initiated on public sector ART (January 2000 to July 2008) at 5 sites in South Africa who completed >= 6 months of follow-up. We estimated cumulative risk of virologic failure (viral load >= 400 copies/mL with confirmation above varying thresholds) and switching to second-line ART. Results: Nineteen thousand six hundred forty-five patients (29,935 person-years) had a median of 1.3 years of study follow-up (1.8 years on ART) and a median CD4 count of 93 (IQR: 39-155) cells per microliter at ART initiation. About 9.9% (4.5 per 100 person-years) failed ART in median 16 (IQR: 12-23) months since ART initiation, with median 2.7 months (IQR: 1.6-4.7) months between first elevated and confirmatory viral loads. By survival analysis, using a confirmatory threshold of 400 copies per milliliter, 16.9% [95% confidence interval (CI): 15.4% to 18.6%] failed by 5 years on ART, but only 7.8% (95% CI: 6.6% to 9.3%) using a threshold of 10,000. CD4 <25 versus 100-199 (adjusted HR: 1.60; 95% CI: 1.37 to 1.87), ART initiation viral load >= 1,000,000 versus <10,000, (1.32; 0.91 to 1.93), and 2+ gaps in care versus 0 (95% CI: 7.25; 4.95 to 10.6) were predictive of failure. Overall, 10.1% (95% CI: 9.0% to 11.4%) switched to second-line by 5 years on ART. Lower CD4 at failure and higher rate of CD4 decline were predictive of switch (decline 100% to 51% versus 25% to -25%, adjusted HR: 1.96; 95% CI: 1.35 to 2.85). Conclusions: In resource-limited settings with viral load monitoring, virologic failure rates are highly sensitive to thresholds for confirmation. Despite clear guidelines there is considerable variability in switching failing patients, partially in response to immunologic status and postfailure evolution.
引用
收藏
页码:428 / 437
页数:10
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