Impact of the Antiretroviral Treatment Program on the Burden of Hospitalization for Culture-confirmed Tuberculosis in South African Children
Bibliographic record
Abstract
BACKGROUND: The HIV epidemic increased the burden of tuberculosis (TB) in sub-Saharan Africa. We evaluated the impact that scaling-up of the public-funded antiretroviral treatment (ART) program had on incidence of hospitalization for culture-confirmed and overall-TB in HIV-infected and HIV-uninfected children from 2005 to 2009. METHODS: The study was undertaken in Soweto, South Africa, where ART coverage of HIV-infected children increased from 43% in 2005 to 84% by 2009. Trends in incidence of hospitalization for clinically diagnosed and culture-confirmed TB in children 3 months to <15 years of age, identified through laboratory and electronic databases, were analyzed by comparing crude incidence and regression analysis. RESULTS: The incidence (per 100,000) of culture-confirmed TB declined by 63.1% from 2005 (69.8) compared with 2009 (25.8; P < 0.0001). This included a 70.6% reduction between 2005 and 2009 among HIV-infected children (incidence: 1566.3 versus 460.7, respectively; P < 0.0001) and 41.3% decrease in HIV-uninfected children (18.7 versus 11.0, respectively; P = 0.0003). The month-by-month rate of decline of culture-confirmed TB was 2.3% in HIV-infected and 1.1% in HIV-uninfected children over the study period. The residual burden of TB remained 42-fold greater in HIV-infected children, 78% of whom were severely immune compromised, compared with HIV-uninfected children by 2009. CONCLUSION: Increase in ART coverage was associated with significant decline in TB hospitalizations in HIV-infected children. This reduction may also in part have been due to reduced Mycobacterium tuberculosis transmission resulting from increased ART access among HIV-infected adults, which may have contributed to the reduction of culture-confirmed TB in HIV-uninfected children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".